disease severity methods: Topics by Science.gov

Sample records for disease severity methods

Predicting and explaining inflammation in Crohn's disease patients using predictive analytics methods and electronic medical record data.

PubMed

Reddy, Bhargava K; Delen, Dursun; Agrawal, Rupesh K

2018-01-01

Crohn's disease is among the chronic inflammatory bowel diseases that impact the gastrointestinal tract. Understanding and predicting the severity of inflammation in real-time settings is critical to disease management. Extant literature has primarily focused on studies that are conducted in clinical trial settings to investigate the impact of a drug treatment on the remission status of the disease. This research proposes an analytics methodology where three different types of prediction models are developed to predict and to explain the severity of inflammation in patients diagnosed with Crohn's disease. The results show that machine-learning-based analytic methods such as gradient boosting machines can predict the inflammation severity with a very high accuracy (area under the curve = 92.82%), followed by regularized regression and logistic regression. According to the findings, a combination of baseline laboratory parameters, patient demographic characteristics, and disease location are among the strongest predictors of inflammation severity in Crohn's disease patients.
Markers of endothelial cell activation and immune activation are increased in patients with severe leptospirosis and associated with disease severity

USDA-ARS?s Scientific Manuscript database

Objectives: Previous studies concluded that haemorrhage is one of the most accurate prognostic factors of mortality in leptospirosis. Therefore, endothelial cell activation was investigated in relation to disease severity in severe leptospirosis. Methods: Prospective cohort study of severe leptospi...
Disease burden attributed to alcohol: How methodological advances in the Global Burden of Disease 2013 study have changed the estimates in Sweden.

PubMed

Kellerborg, Klas; Danielsson, Anna-Karin; Allebeck, Peter; Coates, Matthew M; Agardh, Emilie

2016-08-01

The Global Burden of Disease (GBD) study continuously refines its estimates as new data and methods become available. In the latest iteration of the study, GBD 2013, changes were made related to the disease burden attributed to alcohol. The aim of this study was to briefly present these changes and to compare the disease burden attributed to alcohol in Swedish men and women in 2010 using previous and updated methods. In the GBD study, the contribution of alcohol to the burden of disease is estimated by theoretically assessing how much of the disease burden can be avoided by reducing the consumption of alcohol to zero. The updated methods mainly consider improved measurements of alcohol consumption, including less severe alcohol dependence, assigning the most severe injuries and removing the protective effect of drinking on cardiovascular diseases if combined with binge drinking. The overall disease burden attributed to alcohol in 2010 increased by 14% when using the updated methods. Women accounted for this overall increase, mainly because the updated methods led to an overall higher alcohol consumption in women. By contrast, the overall burden decreased in men, one reason being the lower overall alcohol consumption with the new methods. In men, the inclusion of less severe alcohol dependence resulted in a large decrease in the alcohol attributed disease burden. This was, however, evened out to a great extent by the increase in cardiovascular disease and injuries. CONCLUSIONS WHEN USING THE UPDATED GBD METHODS, THE OVERALL DISEASE BURDEN ATTRIBUTED TO ALCOHOL INCREASED IN WOMEN, BUT NOT IN MEN. © 2016 the Nordic Societies of Public Health.
An Acoustic Study of the Relationships among Neurologic Disease, Dysarthria Type, and Severity of Dysarthria

ERIC Educational Resources Information Center

Kim, Yunjung; Kent, Raymond D.; Weismer, Gary

2011-01-01

Purpose: This study examined acoustic predictors of speech intelligibility in speakers with several types of dysarthria secondary to different diseases and conducted classification analysis solely by acoustic measures according to 3 variables (disease, speech severity, and dysarthria type). Method: Speech recordings from 107 speakers with…
The effects of rater bias and assessment method used to estimate disease severity on hypothesis testing

USDA-ARS?s Scientific Manuscript database

The effects of bias (over and underestimates) in estimates of disease severity on hypothesis testing using different assessment methods was explored. Nearest percent estimates (NPE), the Horsfall-Barratt (H-B) scale, and two different linear category scales (10% increments, with and without addition...
Disease quantification in dermatology: in vivo near-infrared spectroscopy measures correlate strongly with the clinical assessment of psoriasis severity

NASA Astrophysics Data System (ADS)

Greve, Tanja Maria; Kamp, Søren; Jemec, Gregor B. E.

2013-03-01

Accurate documentation of disease severity is a prerequisite for clinical research and the practice of evidence-based medicine. The quantification of skin diseases such as psoriasis currently relies heavily on clinical scores. Although these clinical scoring methods are well established and very useful in quantifying disease severity, they require an extensive clinical experience and carry a risk of subjectivity. We explore the opportunity to use in vivo near-infrared (NIR) spectra as an objective and noninvasive method for local disease severity assessment in 31 psoriasis patients in whom selected plaques were scored clinically. A partial least squares (PLS) regression model was used to analyze and predict the severity scores on the NIR spectra of psoriatic and uninvolved skin. The correlation between predicted and clinically assigned scores was R=0.94 (RMSE=0.96), suggesting that in vivo NIR provides accurate clinical quantification of psoriatic plaques. Hence, NIR may be a practical solution to clinical severity assessment of psoriasis, providing a continuous, linear, numerical value of severity.
Bypass versus Angioplasty in Severe Ischaemia of the Leg (BASIL) trial: A description of the severity and extent of disease using the Bollinger angiogram scoring method and the TransAtlantic Inter-Society Consensus II classification.

PubMed

Bradbury, Andrew W; Adam, Donald J; Bell, Jocelyn; Forbes, John F; Fowkes, F Gerry R; Gillespie, Ian; Ruckley, Charles Vaughan; Raab, Gillian M

2010-05-01

The Bypass versus Angioplasty in Severe Ischaemia of the Leg (BASIL) trial showed in patients with severe lower limb ischemia (rest pain, tissue loss) who survive for 2 years after intervention that initial randomization to bypass surgery, compared with balloon angioplasty, was associated with an improvement in subsequent amputation-free survival and overall survival of about 6 and 7 months, respectively. The aim of this report is to describe the angiographic severity and extent of infrainguinal arterial disease in the BASIL trial cohort so that the trial outcomes can be appropriately generalized to other patient cohorts with similar anatomic (angiographic) patterns of disease. Preintervention angiograms were scored using the Bollinger method and the TransAtlantic Inter-Society Consensus (TASC) II classification system by three consultant interventional radiologists and two consultant vascular surgeons unaware of the treatment received or patient outcomes. As was to be expected from the randomization process, patients in the two trial arms were well matched in terms of angiographic severity and extent of disease as documented by Bollinger and TASC II. In patients with the least overall disease, it tended to be concentrated in the superficial femoral and popliteal arteries, which were the commonest sites of disease overall. The below knee arteries became increasingly involved as the overall severity of disease increased, but the disease in the above knee arteries did not tend to worsen. The posterior tibial artery was the most diseased crural artery, whereas the peroneal appeared relatively spared. There was less interobserver disagreement with the Bollinger method than with the TASC II classification system, which also appears inherently less sensitive to clinically important differences in infrapopliteal disease among patients with severe leg ischemia. Anatomic (angiographic) disease description in patients with severe leg ischemia requires a reproducible scoring system that is sensitive to differences in crural artery disease. The Bollinger system appears well suited for this purpose, but the TASC II classification system less so. We hope this detailed analysis will facilitate appropriate generalization of the BASIL trial data to other groups of patients affected by similar anatomic (angiographic) patterns of disease. Crown Copyright (c) 2010. Published by Mosby, Inc. All rights reserved.
Identification and Severity Determination of Wheat Stripe Rust and Wheat Leaf Rust Based on Hyperspectral Data Acquired Using a Black-Paper-Based Measuring Method.

PubMed

Wang, Hui; Qin, Feng; Ruan, Liu; Wang, Rui; Liu, Qi; Ma, Zhanhong; Li, Xiaolong; Cheng, Pei; Wang, Haiguang

2016-01-01

It is important to implement detection and assessment of plant diseases based on remotely sensed data for disease monitoring and control. Hyperspectral data of healthy leaves, leaves in incubation period and leaves in diseased period of wheat stripe rust and wheat leaf rust were collected under in-field conditions using a black-paper-based measuring method developed in this study. After data preprocessing, the models to identify the diseases were built using distinguished partial least squares (DPLS) and support vector machine (SVM), and the disease severity inversion models of stripe rust and the disease severity inversion models of leaf rust were built using quantitative partial least squares (QPLS) and support vector regression (SVR). All the models were validated by using leave-one-out cross validation and external validation. The diseases could be discriminated using both distinguished partial least squares and support vector machine with the accuracies of more than 99%. For each wheat rust, disease severity levels were accurately retrieved using both the optimal QPLS models and the optimal SVR models with the coefficients of determination (R2) of more than 0.90 and the root mean square errors (RMSE) of less than 0.15. The results demonstrated that identification and severity evaluation of stripe rust and leaf rust at the leaf level could be implemented based on the hyperspectral data acquired using the developed method. A scientific basis was provided for implementing disease monitoring by using aerial and space remote sensing technologies.
Identification and Severity Determination of Wheat Stripe Rust and Wheat Leaf Rust Based on Hyperspectral Data Acquired Using a Black-Paper-Based Measuring Method

PubMed Central

Ruan, Liu; Wang, Rui; Liu, Qi; Ma, Zhanhong; Li, Xiaolong; Cheng, Pei; Wang, Haiguang

2016-01-01

It is important to implement detection and assessment of plant diseases based on remotely sensed data for disease monitoring and control. Hyperspectral data of healthy leaves, leaves in incubation period and leaves in diseased period of wheat stripe rust and wheat leaf rust were collected under in-field conditions using a black-paper-based measuring method developed in this study. After data preprocessing, the models to identify the diseases were built using distinguished partial least squares (DPLS) and support vector machine (SVM), and the disease severity inversion models of stripe rust and the disease severity inversion models of leaf rust were built using quantitative partial least squares (QPLS) and support vector regression (SVR). All the models were validated by using leave-one-out cross validation and external validation. The diseases could be discriminated using both distinguished partial least squares and support vector machine with the accuracies of more than 99%. For each wheat rust, disease severity levels were accurately retrieved using both the optimal QPLS models and the optimal SVR models with the coefficients of determination (R2) of more than 0.90 and the root mean square errors (RMSE) of less than 0.15. The results demonstrated that identification and severity evaluation of stripe rust and leaf rust at the leaf level could be implemented based on the hyperspectral data acquired using the developed method. A scientific basis was provided for implementing disease monitoring by using aerial and space remote sensing technologies. PMID:27128464
White-Nose Syndrome Disease Severity and a Comparison of Diagnostic Methods.

PubMed

McGuire, Liam P; Turner, James M; Warnecke, Lisa; McGregor, Glenna; Bollinger, Trent K; Misra, Vikram; Foster, Jeffrey T; Frick, Winifred F; Kilpatrick, A Marm; Willis, Craig K R

2016-03-01

White-nose syndrome is caused by the fungus Pseudogymnoascus destructans and has killed millions of hibernating bats in North America but the pathophysiology of the disease remains poorly understood. Our objectives were to (1) assess non-destructive diagnostic methods for P. destructans infection compared to histopathology, the current gold-standard, and (2) to evaluate potential metrics of disease severity. We used data from three captive inoculation experiments involving 181 little brown bats (Myotis lucifugus) to compare histopathology, quantitative PCR (qPCR), and ultraviolet fluorescence as diagnostic methods of P. destructans infection. To assess disease severity, we considered two histology metrics (wing area with fungal hyphae, area of dermal necrosis), P. destructans fungal load (qPCR), ultraviolet fluorescence, and blood chemistry (hematocrit, sodium, glucose, pCO2, and bicarbonate). Quantitative PCR was most effective for early detection of P. destructans, while all three methods were comparable in severe infections. Correlations among hyphae and necrosis scores, qPCR, ultraviolet fluorescence, blood chemistry, and hibernation duration indicate a multi-stage pattern of disease. Disruptions of homeostasis occurred rapidly in late hibernation. Our results provide valuable information about the use of non-destructive techniques for monitoring, and provide novel insight into the pathophysiology of white-nose syndrome, with implications for developing and implementing potential mitigation strategies.
Hyperspectral and chlorophyll fluorescence imaging to analyse the impact of Fusarium culmorum on the photosynthetic integrity of infected wheat ears.

PubMed

Bauriegel, Elke; Giebel, Antje; Herppich, Werner B

2011-01-01

Head blight on wheat, caused by Fusarium spp., is a serious problem for both farmers and food production due to the concomitant production of highly toxic mycotoxins in infected cereals. For selective mycotoxin analyses, information about the on-field status of infestation would be helpful. Early symptom detection directly on ears, together with the corresponding geographic position, would be important for selective harvesting. Hence, the capabilities of various digital imaging methods to detect head blight disease on winter wheat were tested. Time series of images of healthy and artificially Fusarium-infected ears were recorded with a laboratory hyperspectral imaging system (wavelength range: 400 nm to 1,000 nm). Disease-specific spectral signatures were evaluated with an imaging software. Applying the 'Spectral Angle Mapper' method, healthy and infected ear tissue could be clearly classified. Simultaneously, chlorophyll fluorescence imaging of healthy and infected ears, and visual rating of the severity of disease was performed. Between six and eleven days after artificial inoculation, photosynthetic efficiency of infected compared to healthy ears decreased. The severity of disease highly correlated with photosynthetic efficiency. Above an infection limit of 5% severity of disease, chlorophyll fluorescence imaging reliably recognised infected ears. With this technique, differentiation of the severity of disease was successful in steps of 10%. Depending on the quality of chosen regions of interests, hyperspectral imaging readily detects head blight 7 d after inoculation up to a severity of disease of 50%. After beginning of ripening, healthy and diseased ears were hardly distinguishable with the evaluated methods.
Advances on Fungal Phytotoxins and Their Role in Grapevine Trunk Diseases.

PubMed

Masi, Marco; Cimmino, Alessio; Reveglia, Pierluigi; Mugnai, Laura; Surico, Giuseppe; Evidente, Antonio

2018-06-20

Grapevines are produced worldwide with important impact on local economies. Several biotic stresses induce serious diseases of grapevine, which severely affect the quantity and quality of production. One of the most important problems of vineyards worldwide is the high incidence of grapevine trunk diseases (GTD) induced by fungi belonging to several genera. Environmentally friendly methods for GTD control are being studied. This perspective offers an advanced overview on the fungal phytotoxins involved in GTD and their eventual role in the development of disease symptoms.
Itch, disease coping strategies and quality of life in psoriasis patients

PubMed Central

Miniszewska, Joanna; Kępska, Anna; Zalewska-Janowska, Anna

2014-01-01

Introduction Psoriasis is a psychodermatological condition, so psychological factors can trigger and/or exacerbate skin lesions. Additionally, disease can be a source of stress and can worsen patients’ quality of life (QoL). Aim To evaluate the relationship between medical (disease severity, itch) and psychological variables (disease coping strategies, QoL) in the psoriasis patients group. Material and methods The study comprises 60 in-patients of the dermatological ward (30 females and 30 males) with the diagnosis of psoriasis. Methods used: Psoriasis Area and Severity Index (PASI), Itch Severity Evaluation Questionnaire, Coping with Skin Disease Scale-SRS-DER, SKINDEX-29 questionnaire. Results The study demonstrated significant correlations between disease coping strategies, itch and quality of life. Women presented worse QoL (generally and in physical functioning). The older patients with a longer disease duration revealed QoL impairment. Conclusions The obtained results could help in identifying patients risk groups which are in the highest danger of decreased QoL. Our data indicate the need for psychological interventions. PMID:25395926
Development of a quantitative assessment method of pigmentary skin disease using ultraviolet optical imaging.

PubMed

Lee, Onseok; Park, Sunup; Kim, Jaeyoung; Oh, Chilhwan

2017-11-01

The visual scoring method has been used as a subjective evaluation of pigmentary skin disorders. Severity of pigmentary skin disease, especially melasma, is evaluated using a visual scoring method, the MASI (melasma area severity index). This study differentiates between epidermal and dermal pigmented disease. The study was undertaken to determine methods to quantitatively measure the severity of pigmentary skin disorders under ultraviolet illumination. The optical imaging system consists of illumination (white LED, UV-A lamp) and image acquisition (DSLR camera, air cooling CMOS CCD camera). Each camera is equipped with a polarizing filter to remove glare. To analyze images of visible and UV light, images are divided into frontal, cheek, and chin regions of melasma patients. Each image must undergo image processing. To reduce the curvature error in facial contours, a gradient mask is used. The new method of segmentation of front and lateral facial images is more objective for face-area-measurement than the MASI score. Image analysis of darkness and homogeneity is adequate to quantify the conventional MASI score. Under visible light, active lesion margins appear in both epidermal and dermal melanin, whereas melanin is found in the epidermis under UV light. This study objectively analyzes severity of melasma and attempts to develop new methods of image analysis with ultraviolet optical imaging equipment. Based on the results of this study, our optical imaging system could be used as a valuable tool to assess the severity of pigmentary skin disease. © 2017 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.
Blackleg (Leptosphaeria maculans) Severity and Yield Loss in Canola in Alberta, Canada

PubMed Central

Hwang, Sheau-Fang; Strelkov, Stephen E.; Peng, Gary; Ahmed, Hafiz; Zhou, Qixing; Turnbull, George

2016-01-01

Blackleg, caused by Leptosphaeria maculans, is an important disease of oilseed rape (Brassica napus L.) in Canada and throughout the world. Severe epidemics of blackleg can result in significant yield losses. Understanding disease-yield relationships is a prerequisite for measuring the agronomic efficacy and economic benefits of control methods. Field experiments were conducted in 2013, 2014, and 2015 to determine the relationship between blackleg disease severity and yield in a susceptible cultivar and in moderately resistant to resistant canola hybrids. Disease severity was lower, and seed yield was 120%–128% greater, in the moderately resistant to resistant hybrids compared with the susceptible cultivar. Regression analysis showed that pod number and seed yield declined linearly as blackleg severity increased. Seed yield per plant decreased by 1.8 g for each unit increase in disease severity, corresponding to a decline in yield of 17.2% for each unit increase in disease severity. Pyraclostrobin fungicide reduced disease severity in all site-years and increased yield. These results show that the reduction of blackleg in canola crops substantially improves yields. PMID:27447676
Accuracy of plant specimen disease severity estimates: concepts, history, methods, ramifications and challenges for the future

USDA-ARS?s Scientific Manuscript database

Knowledge of the extent of the symptoms of a plant disease, generally referred to as severity, is key to both fundamental and applied aspects of plant pathology. Most commonly, severity is obtained visually and the accuracy of each estimate (closeness to the actual value) by individual raters is par...
Characteristics of Mild Dengue Virus Infection in Thai Children

DTIC Science & Technology

2013-12-01

disease burden assessments, transmissionmodeling, and determination of vaccine impact. INTRODUCTION Dengue virus (DENV) causes more human morbidity and...or symp- tom combination associated with dengue severity , although our analysis was limited by the small number of contacts with severe disease ...sur- veillance method in defining illness for purposes such as disease burden assessments, transmission modeling, and determination of vaccine impact
Revised Tubiana’s Staging System for Assessment of Disease Severity in Dupuytren’s Disease—Preliminary Clinical Findings

PubMed Central

Hindocha, Sandip; Stanley, John K.; Watson, James Stewart

2007-01-01

There are few objective staging systems to assess severity of Dupuytren’s disease (DD). Previous methods to assess severity of DD were based primarily on the degree of contracture of an affected digit measured using a goniometer. Nonetheless, this method of assessment alone may be incomplete, and other factors should be considered. White (n = 92) patients diagnosed with DD from northwest of England were assessed for DD. Objective criteria for evaluating severity incorporated quantified variables. The revised severity stage was correlated to a known staging system of DD (Tubiana’s staging system) which measures total flexion deformity for a single affected digit. Total revised severity staging scores ranged between 4 and 53 (mean = 18.7) and revealed significant positive correlation to Tubiana’s original staging system (r2 = 0.8, p < 0.001). There was significant difference between severity staging scores in those with a positive family history compared to those without (p < 0.01). In current practice, often, the degree of contracture in an affected digit is used solely as a measure of disease severity. Additional objective clinical information may provide useful prognostic indices for disease progression as well as postoperative outcome. PMID:18780081
Spatial prediction of wheat Septoria leaf blotch (Septoria tritici) disease severity in central Ethiopia

USGS Publications Warehouse

Wakie, Tewodros; Kumar, Sunil; Senay, Gabriel; Takele, Abera; Lencho, Alemu

2016-01-01

A number of studies have reported the presence of wheat septoria leaf blotch (Septoria tritici; SLB) disease in Ethiopia. However, the environmental factors associated with SLB disease, and areas under risk of SLB disease, have not been studied. Here, we tested the hypothesis that environmental variables can adequately explain observed SLB disease severity levels in West Shewa, Central Ethiopia. Specifically, we identified 50 environmental variables and assessed their relationships with SLB disease severity. Geographically referenced disease severity data were obtained from the field, and linear regression and Boosted Regression Trees (BRT) modeling approaches were used for developing spatial models. Moderate-resolution imaging spectroradiometer (MODIS) derived vegetation indices and land surface temperature (LST) variables highly influenced SLB model predictions. Soil and topographic variables did not sufficiently explain observed SLB disease severity variation in this study. Our results show that wheat growing areas in Central Ethiopia, including highly productive districts, are at risk of SLB disease. The study demonstrates the integration of field data with modeling approaches such as BRT for predicting the spatial patterns of severity of a pathogenic wheat disease in Central Ethiopia. Our results can aid Ethiopia's wheat disease monitoring efforts, while our methods can be replicated for testing related hypotheses elsewhere.
Linguistic Correlates of Asymmetric Motor Symptom Severity in Parkinson's Disease

ERIC Educational Resources Information Center

Holtgraves, Thomas; McNamara, Patrick; Cappaert, Kevin; Durso, Raymond

2010-01-01

Asymmetric motor severity is common in Parkinson's Disease (PD) and provides a method for examining the neurobiologic mechanisms underlying cognitive and linguistic deficits associated with the disorder. In the present research, PD participants (N = 31) were assessed in terms of the asymmetry of their motor symptoms. Interviews with the…

Optical Molecular Imaging for Diagnosing Intestinal Diseases

PubMed Central

Kim, Sang-Yeob

2013-01-01

Real-time visualization of the molecular signature of cells can be achieved with advanced targeted imaging techniques using molecular probes and fluorescence endoscopy. This molecular optical imaging in gastrointestinal endoscopy is promising for improving the detection of neoplastic lesions, their characterization for patient stratification, and the assessment of their response to molecular targeted therapy and radiotherapy. In inflammatory bowel disease, this method can be used to detect dysplasia in the presence of background inflammation and to visualize inflammatory molecular targets for assessing disease severity and prognosis. Several preclinical and clinical trials have applied this method in endoscopy; however, this field has just started to evolve. Hence, many problems have yet to be solved to enable the clinical application of this novel method. PMID:24340254
Disease Severity and Domain Specific Arthritis Self-Efficacy: Relationships to Pain and Functioning in Rheumatoid Arthritis Patients

PubMed Central

Somers, Tamara J.; Shelby, Rebecca A.; Keefe, Francis J.; Godiwala, Neha; Lumley, Mark A.; Mosley-Williams, Angelia; Rice, John R.; Caldwell, David

2010-01-01

Objective Examining the degree to which disease severity and domains of self-efficacy (pain, function, other symptoms) explain pain and functioning in rheumatoid arthritis patients. Methods Patients (N=263) completed the Arthritis Impact Measurements Scales-2 to assess pain and functioning (physical, affective, and social), the Arthritis Self-Efficacy Scale to assess three self-efficacy domains (pain, physical function, other); disease severity was assessed with C-reactive protein, physician's rating, abnormal joint count. Structural equation modeling was used to examine hypotheses: 1) does disease severity have a direct relationship with pain and each area of functioning, 2) does disease severity have a direct relationship with each arthritis self-efficacy domain, and 3) do the self-efficacy domains mediate the relationship between disease severity and RA pain and each area of functioning. Results Disease severity was related to pain, physical functioning, and each self-efficacy domain (β's=.28-.56; p's<.001). Each self-efficacy domain was related to its respective domain of functioning (e.g., self-efficacy for pain was related to pain) (β's=.36-.54; p's<.001). Self-efficacy mediated the relationship between disease severity and pain and functioning (β's=.12-.19; p's<.001). Self-efficacy for pain control and to perform functional tasks accounted for 32-42% of disease severity's total effect on their respective outcomes (e.g., self-efficacy for pain control accounted for 32% of disease severity's total effect on pain). Variance accounted for by the total model was 52% for pain, 53% for physical functioning, and 44% for affective and social functioning. Conclusions Disease severity and self-efficacy both impact RA functioning and intervening in these areas may lead to better outcomes. PMID:20535796
Dynamic Neuro-Cognitive Imagery Improves Mental Imagery Ability, Disease Severity, and Motor and Cognitive Functions in People with Parkinson's Disease

PubMed Central

Hart, Ariel; Andrade, Isaac; Hackney, Madeleine E.

2018-01-01

People with Parkinson's disease (PD) experience kinesthetic deficits, which affect motor and nonmotor functions, including mental imagery. Imagery training is a recommended, yet underresearched, approach in PD rehabilitation. Dynamic Neuro-Cognitive Imagery (DNI™) is a codified method for imagery training. Twenty subjects with idiopathic PD (Hoehn and Yahr stages I–III) were randomly allocated into DNI training (experimental; n = 10) or in-home learning and exercise program (control; n = 10). Both groups completed at least 16 hours of training within two weeks. DNI training focused on anatomical embodiment and kinesthetic awareness. Imagery abilities, disease severity, and motor and nonmotor functions were assessed pre- and postintervention. The DNI participants improved (p < .05) in mental imagery abilities, disease severity, and motor and spatial cognitive functions. Participants also reported improvements in balance, walking, mood, and coordination, and they were more physically active. Both groups strongly agreed they enjoyed their program and were more mentally active. DNI training is a promising rehabilitation method for improving imagery ability, disease severity, and motor and nonmotor functions in people with PD. This training might serve as a complementary PD therapeutic approach. Future studies should explore the effect of DNI on motor learning and control strategies. PMID:29725348
Breath Alkane as an index of severity for oral submucous fibrosis: A new perspective?

PubMed

Arakeri, Gururaj; Boraks, George; Aljabab, Abdulsalam S; Patil, Shekar Gowda; Merkx, M A W; Brennan, Peter A

2017-01-01

Oral submucous fibrosis (OSMF) is a devastating disease commonly seen in the Asian subcontinent that results in significant functional morbidity for patients and has a high potential for malignant transformation. Over the last three decades, different diagnostic methods have been described to quantify and grade OSMF severity. Some methods have been used with perceived favorable outcomes although recurrence and malignant transformation remains a problem in many cases, and OSMF presents a major therapeutic challenge. We present a simple, noninvasive and less time-consuming diagnostic method which measures the severity of OSMF, helping to predict its malignant transformation and monitoring the effect of medical therapy on this disease. Copyright © 2016 Elsevier Ltd. All rights reserved.
Life quality assessment among patients with atopic eczema.

PubMed

Holm, E A; Wulf, H C; Stegmann, H; Jemec, G B E

2006-04-01

Quantification of quality of life (QoL) related to disease severity is important in patients with atopic eczema (AE), because the assessment provides additional information to the traditional objective clinical scoring systems. To measure health-related QoL (HRQoL) in patients with AE; to analyse discriminant, divergent and convergent validity by examining the association between various QoL methods; and to examine the association between disease severity assessed by an objective Severity Scoring of Atopic Dermatitis (SCORAD) and QoL. HRQoL was assessed at two visits at a 6-monthly interval in 101 patients with AE and 30 controls with one dermatology-specific questionnaire [Dermatology Life Quality Index (DLQI) or Children's DLQI (CDLQI)], one generic instrument (SF-36) and three visual analogue scales (VASs) of severity and pruritus. Objective SCORAD was used to measure disease severity. Patients with AE had significantly lower QoL than healthy controls and the general population. DLQI /CDLQI, pruritus, and patient and investigator overall assessment of eczema severity were significantly (P < 0.0001) and positively correlated with SCORAD, while the generic questionnaire showed only poor correlation. A gender difference was found for the mental component score of SF-36 (P = 0.019). AE has an impact on HRQoL. Patients' mental health, social functioning and role emotional functioning seem to be more affected than physical functioning. A simple VAS score of patients' assessment of disease severity showed the highest and most significant correlations with most of the HRQoL methods used. There is evidence to support the ability of patients with AE to make an accurate determination of their disease severity and QoL.
Disadvantages of the Horsfall-Barratt Scale for estimating severity of citrus canker

USDA-ARS?s Scientific Manuscript database

Direct visual estimation of disease severity to the nearest percent was compared to using the Horsfall-Barratt (H-B) scale. Data from a simulation model designed to sample two diseased populations were used to investigate the probability of the two methods to reject a null hypothesis (H0) using a t-...
[The drawbacks of diagnostic diligence].

PubMed

Giard, R W; Coebergh, J W

1998-10-03

More, earlier and better diagnostic work is being done nowadays, leasing to detection of abnormalities and preliminary stages that used to remain undetected; a large reservoir of subclinical disorders is found to exist. More intensive and sensitive diagnostic methods as a rule lead to higher disease prevalence figures, with the consequences of a seeming increase of disease risk, unnecessary further examinations, treatment and follow-up of individuals and overestimation of the effects of treatment. This may even start a vicious circle. More attention should be given to using diagnostic methods in such a way that the earlier and more frequent detection of disease actually profits the patient. The proof of this should be found in scientific (population) studies of the magnitude and severity of the burden of disease, the determinants of progression, the severity of abnormalities and diseases and the favourable effect of (early) treatment.
Application of forwardchaining method to diagnosis of onion plant diseases

NASA Astrophysics Data System (ADS)

Sitanggang, Delima; Siregar, Saut D.; Situmeang, Suryani M. F.; Indra, Evta; Sagala, Ayu R.; Sihombing, Oloan; Nababan, Marlince; Pasaribu, Hendra; Damanik, Rudolf R.; Turnip, Mardi; Saragih, Rijois I. E.

2018-04-01

Red Onion is a tuber plant that is widely used by the people of Indonesia, both as herbs and herbal medicines. Onion farmers have limitations in identifying diseases that attack their crops.This disease can cause crop failure against the onion.This design begins with the creation of a knowledge base up to input-output design with forward chaining method. The results of this design can assist farmers in identifying their plant diseases. Based on diagnostic results of several methods that have been done testing can diagnose diseases contained in onion plants. With symptoms data that has been determined by the expert with the value of each symptom is different. As for the symptoms that have been determined that the leaves contain patches with a value of 0.3, White leaf spots value 0.4, Leaf spots form a purple zone if it is severe 0.5, Leaf tip of 0.2, Tubers rot 0.4. Based on the above diagnostic results then get the value of diagnosis 67% forward chaining with trotol disease type, Purple spotting.
Activation of cellular immune response in acute pancreatitis.

PubMed Central

Mora, A; Pérez-Mateo, M; Viedma, J A; Carballo, F; Sánchez-Payá, J; Liras, G

1997-01-01

BACKGROUND: Inflammatory mediators have recently been implicated as potential markers of severity in acute pancreatitis. AIMS: To determine the value of neopterin and polymorphonuclear (PMN) elastase as markers of activation of cellular immunity and as early predictors of disease severity. PATIENTS: Fifty two non-consecutive patients classified according to their clinical outcome into mild (n = 26) and severe pancreatitis (n = 26). METHODS: Neopterin in serum and the PMN elastase/A1PI complex in plasma were measured during the first three days of hospital stay. RESULTS: Within three days after the onset of acute pancreatitis, PMN elastase was significantly higher in the severe pancreatitis group. Patients with severe disease also showed significantly higher values of neopterin on days 1 and 2 but not on day 3 compared with patients with mild disease. There was a significant correlation between PMN elastase and neopterin values on days 1 and 2. PMN elastase on day 1 predicted disease severity with a sensitivity of 76.7% and a specificity of 91.6%. Neopterin did not surpass PMN elastase in the probability of predicting disease severity. CONCLUSIONS: These data show that activation of cellular immunity is implicated in the pathogenesis of acute pancreatitis and may be a main contributory factor to disease severity. Neopterin was not superior to PMN elastase in the prediction of severity. PMID:9245935
Bootstrap imputation with a disease probability model minimized bias from misclassification due to administrative database codes.

PubMed

van Walraven, Carl

2017-04-01

Diagnostic codes used in administrative databases cause bias due to misclassification of patient disease status. It is unclear which methods minimize this bias. Serum creatinine measures were used to determine severe renal failure status in 50,074 hospitalized patients. The true prevalence of severe renal failure and its association with covariates were measured. These were compared to results for which renal failure status was determined using surrogate measures including the following: (1) diagnostic codes; (2) categorization of probability estimates of renal failure determined from a previously validated model; or (3) bootstrap methods imputation of disease status using model-derived probability estimates. Bias in estimates of severe renal failure prevalence and its association with covariates were minimal when bootstrap methods were used to impute renal failure status from model-based probability estimates. In contrast, biases were extensive when renal failure status was determined using codes or methods in which model-based condition probability was categorized. Bias due to misclassification from inaccurate diagnostic codes can be minimized using bootstrap methods to impute condition status using multivariable model-derived probability estimates. Copyright © 2017 Elsevier Inc. All rights reserved.
Clinical applications of angiocardiography

NASA Technical Reports Server (NTRS)

Dodge, H. T.; Sandler, H.

1974-01-01

Several tables are presented giving left ventricular (LV) data for normal patients and patients with heart disease of varied etiologies, pointing out the salient features. Graphs showing LV pressure-volume relationships (compliance) are presented and discussed. The method developed by Rackley et al. (1964) for determining left ventricular mass in man is described, and limitations to the method are discussed. Some clinical methods for determining LV oxygen consumption are briefly described, and the relation of various abnormalities of ventricular performance to coronary artery disease and ischemic heart disease is characterized.
Quantitative Evaluation of the Use of Actigraphy for Neurological and Psychiatric Disorders

PubMed Central

Song, Yu; Kwak, Shin; Yoshida, Sohei; Yamamoto, Yoshiharu

2014-01-01

Quantitative and objective evaluation of disease severity and/or drug effect is necessary in clinical practice. Wearable accelerometers such as an actigraph enable long-term recording of a patient's movement during activities and they can be used for quantitative assessment of symptoms due to various diseases. We reviewed some applications of actigraphy with analytical methods that are sufficiently sensitive and reliable to determine the severity of diseases and disorders such as motor and nonmotor disorders like Parkinson's disease, sleep disorders, depression, behavioral and psychological symptoms of dementia (BPSD) for vascular dementia (VD), seasonal affective disorder (SAD), and stroke, as well as the effects of drugs used to treat them. We believe it is possible to develop analytical methods to assess more neurological or psychopathic disorders using actigraphy records. PMID:25214709
[Severity classification of chronic obstructive pulmonary disease based on deep learning].

PubMed

Ying, Jun; Yang, Ceyuan; Li, Quanzheng; Xue, Wanguo; Li, Tanshi; Cao, Wenzhe

2017-12-01

In this paper, a deep learning method has been raised to build an automatic classification algorithm of severity of chronic obstructive pulmonary disease. Large sample clinical data as input feature were analyzed for their weights in classification. Through feature selection, model training, parameter optimization and model testing, a classification prediction model based on deep belief network was built to predict severity classification criteria raised by the Global Initiative for Chronic Obstructive Lung Disease (GOLD). We get accuracy over 90% in prediction for two different standardized versions of severity criteria raised in 2007 and 2011 respectively. Moreover, we also got the contribution ranking of different input features through analyzing the model coefficient matrix and confirmed that there was a certain degree of agreement between the more contributive input features and the clinical diagnostic knowledge. The validity of the deep belief network model was proved by this result. This study provides an effective solution for the application of deep learning method in automatic diagnostic decision making.
Using Image Processing to Determine Emphysema Severity

NASA Astrophysics Data System (ADS)

McKenzie, Alexander; Sadun, Alberto

2010-10-01

Currently X-rays and computerized tomography (CT) scans are used to detect emphysema, but other tests are required to accurately quantify the amount of lung that has been affected by the disease. These images clearly show if a patient has emphysema, but are unable by visual scan alone, to quantify the degree of the disease, as it presents as subtle, dark spots on the lung. Our goal is to use these CT scans to accurately diagnose and determine emphysema severity levels in patients. This will be accomplished by performing several different analyses of CT scan images of several patients representing a wide range of severity of the disease. In addition to analyzing the original CT data, this process will convert the data to one and two bit images and will then examine the deviation from a normal distribution curve to determine skewness. Our preliminary results show that this method of assessment appears to be more accurate and robust than the currently utilized methods, which involve looking at percentages of radiodensities in the air passages of the lung.
Screening for anthracnose disease resistance in strawberry using a detached leaf assay

USDA-ARS?s Scientific Manuscript database

Inoculation of detached strawberry leaves with Colletotrichum species may provide a rapid, non-destructive method of identifying anthracnose resistant germplasm. The reliability and validity of assessing disease severity is critical to disease management decisions. We inoculated detached strawberr...
A study on quantifying COPD severity by combining pulmonary function tests and CT image analysis

NASA Astrophysics Data System (ADS)

Nimura, Yukitaka; Kitasaka, Takayuki; Honma, Hirotoshi; Takabatake, Hirotsugu; Mori, Masaki; Natori, Hiroshi; Mori, Kensaku

2011-03-01

This paper describes a novel method that can evaluate chronic obstructive pulmonary disease (COPD) severity by combining measurements of pulmonary function tests and measurements obtained from CT image analysis. There is no cure for COPD. However, with regular medical care and consistent patient compliance with treatments and lifestyle changes, the symptoms of COPD can be minimized and progression of the disease can be slowed. Therefore, many diagnosis methods based on CT image analysis have been proposed for quantifying COPD. Most of diagnosis methods for COPD extract the lesions as low-attenuation areas (LAA) by thresholding and evaluate the COPD severity by calculating the LAA in the lung (LAA%). However, COPD is usually the result of a combination of two conditions, emphysema and chronic obstructive bronchitis. Therefore, the previous methods based on only LAA% do not work well. The proposed method utilizes both of information including the measurements of pulmonary function tests and the results of the chest CT image analysis to evaluate the COPD severity. In this paper, we utilize a multi-class AdaBoost to combine both of information and classify the COPD severity into five stages automatically. The experimental results revealed that the accuracy rate of the proposed method was 88.9% (resubstitution scheme) and 64.4% (leave-one-out scheme).
CLC-2 single nucleotide polymorphisms (SNPs) as potential modifiers of cystic fibrosis disease severity

PubMed Central

Blaisdell, Carol J; Howard, Timothy D; Stern, Augustus; Bamford, Penelope; Bleecker, Eugene R; Stine, O Colin

2004-01-01

Background Cystic fibrosis (CF) lung disease manifest by impaired chloride secretion leads to eventual respiratory failure. Candidate genes that may modify CF lung disease severity include alternative chloride channels. The objectives of this study are to identify single nucleotide polymorphisms (SNPs) in the airway epithelial chloride channel, CLC-2, and correlate these polymorphisms with CF lung disease. Methods The CLC-2 promoter, intron 1 and exon 20 were examined for SNPs in adult CF dF508/dF508 homozygotes with mild and severe lung disease (forced expiratory volume at one second (FEV1) > 70% and < 40%). Results PCR amplification of genomic CLC-2 and sequence analysis revealed 1 polymorphism in the hClC -2 promoter, 4 in intron 1, and none in exon 20. Fisher's analysis within this data set, did not demonstrate a significant relationship between the severity of lung disease and SNPs in the CLC-2 gene. Conclusions CLC-2 is not a key modifier gene of CF lung phenotype. Further studies evaluating other phenotypes associated with CF may be useful in the future to assess the ability of CLC-2 to modify CF disease severity. PMID:15507145
Standard methods for fungal brood disease research

USDA-ARS?s Scientific Manuscript database

Chalkbrood and stonebrood are two fungal diseases associated with honey bee brood. Chalkbrood, caused by Ascosphaera apis, is a common and widespread disease that can result in severe reduction of emerging worker bees and thus overall colony productivity. Stonebrood is caused by Aspergillus spp. tha...
A Novel Image Recuperation Approach for Diagnosing and Ranking Retinopathy Disease Level Using Diabetic Fundus Image

PubMed Central

2015-01-01

Retinal fundus images are widely used in diagnosing and providing treatment for several eye diseases. Prior works using retinal fundus images detected the presence of exudation with the aid of publicly available dataset using extensive segmentation process. Though it was proved to be computationally efficient, it failed to create a diabetic retinopathy feature selection system for transparently diagnosing the disease state. Also the diagnosis of diseases did not employ machine learning methods to categorize candidate fundus images into true positive and true negative ratio. Several candidate fundus images did not include more detailed feature selection technique for diabetic retinopathy. To apply machine learning methods and classify the candidate fundus images on the basis of sliding window a method called, Diabetic Fundus Image Recuperation (DFIR) is designed in this paper. The initial phase of DFIR method select the feature of optic cup in digital retinal fundus images based on Sliding Window Approach. With this, the disease state for diabetic retinopathy is assessed. The feature selection in DFIR method uses collection of sliding windows to obtain the features based on the histogram value. The histogram based feature selection with the aid of Group Sparsity Non-overlapping function provides more detailed information of features. Using Support Vector Model in the second phase, the DFIR method based on Spiral Basis Function effectively ranks the diabetic retinopathy diseases. The ranking of disease level for each candidate set provides a much promising result for developing practically automated diabetic retinopathy diagnosis system. Experimental work on digital fundus images using the DFIR method performs research on the factors such as sensitivity, specificity rate, ranking efficiency and feature selection time. PMID:25974230
Societal costs of vascular cognitive impairment in older adults.

PubMed

Rockwood, Kenneth; Brown, Murray; Merry, Heather; Sketris, Ingrid; Fisk, John

2002-06-01

The construct of vascular cognitive impairment (VCI) includes many whose care is or will be costly. Nevertheless, estimates of these costs are not well described. We therefore set out to estimate the societal costs of VCI in elderly people. In a secondary analysis of the Canadian Study of Health and Aging, a representative cohort study, Canadian dollar costs using a societal perspective were estimated by standard methods. The total annual per-patient societal costs for VCI by severity were $15 022 for those with mild disease, $14 468 for those with mild to moderate disease, $20 063 for those with moderate disease, and $34 515 for those with severe disease. The most expensive component per individual was the cost of institutional long-term care. Although severe impairment was associated with higher costs, the extent of institutionalization at all levels of severity and less drug use among those more severely impaired mitigated a severity-cost gradient. The societal costs of VCI are not inconsiderable. In contrast to Alzheimer disease, there is no clear gradient relating cost to severity. Unpaid caregiver costs are an important aspect of societal costs, even in those with only mild impairment.

The measurement of lung volumes using body plethysmography and helium dilution methods in COPD patients: a correlation and diagnosis analysis.

PubMed

Tang, Yongjiang; Zhang, Mingke; Feng, Yulin; Liang, Binmiao

2016-11-23

Chronic obstructive pulmonary disease (COPD) is a chronic airway disease characterized by persistent airflow limitation. Moreover, lung hyperinflation evaluated by lung volumes is also the key pathophysiologic process during COPD progression. Nevertheless, there is still no preferred method to evaluate lung volumes. For this study, we recruited 170 patients with stable COPD to assess lung volumes stratified by airflow limitation severity. Lung volumes including residual volume (RV) and total lung capacity (TLC) were determined by both body plethysmography and helium dilution methods. The discrepancies between these two methods were recorded as ΔRV%pred, ΔTLC%pred, and ΔRV/TLC. We found that ΔRV%pred, ΔTLC%pred, and ΔRV/TLC increased significantly with the severity of COPD. The differences of lung capacity between these two methods were negatively correlated with FEV 1 %pred, and diffusing capacity for carbon monoxide (D L CO%pred). Moreover, the receiver operating characteristic (ROC) for ΔTLC%pred to distinguish severe COPD from non-severe COPD had an area under curve (AUC) of 0.886. The differences of lung volume parameters measured by body plethysmography and helium dilution methods were associated with airflow limitation and can effectively differentiate COPD severity, which may be a supportive method to assess the lung function of stable COPD patients.
Ankylosing spondylitis: A state of the art factual backbone

PubMed Central

Ghasemi-rad, Mohammad; Attaya, Hosam; Lesha, Emal; Vegh, Andrea; Maleki-Miandoab, Tooraj; Nosair, Emad; Sepehrvand, Nariman; Davarian, Ali; Rajebi, Hamid; Pakniat, Abdolghader; Fazeli, Seyed Amirhossein; Mohammadi, Afshin

2015-01-01

Ankylosing spondylitis (AS) is a chronic inflammatory disease that affects 1% of the general population. As one of the most severe types of spondyloarthropathy, AS affects the spinal vertebrae and sacroiliac joints, causing debilitating pain and loss of mobility. The goal of this review is to provide an overview of AS, from the pathophysiological changes that occur as the disease progresses, to genetic factors that are involved with its onset. Considering the high prevalence in the population, and the debilitating life changes that occur as a result of the disease, a strong emphasis is placed on the diagnostic imaging methods that are used to detect this condition, as well as several treatment methods that could improve the health of individuals diagnosed with AS. PMID:26435775
Identifying disease polymorphisms from case-control genetic association data.

PubMed

Park, L

2010-12-01

In case-control association studies, it is typical to observe several associated polymorphisms in a gene region. Often the most significantly associated polymorphism is considered to be the disease polymorphism; however, it is not clear whether it is the disease polymorphism or there is more than one disease polymorphism in the gene region. Currently, there is no method that can handle these problems based on the linkage disequilibrium (LD) relationship between polymorphisms. To distinguish real disease polymorphisms from markers in LD, a method that can detect disease polymorphisms in a gene region has been developed. Relying on the LD between polymorphisms in controls, the proposed method utilizes model-based likelihood ratio tests to find disease polymorphisms. This method shows reliable Type I and Type II error rates when sample sizes are large enough, and works better with re-sequenced data. Applying this method to fine mapping using re-sequencing or dense genotyping data would provide important information regarding the genetic architecture of complex traits.
Plant disease severity assessment - How rater bias, assessment method and experimental design affect hypothesis testing and resource use efficiency

USDA-ARS?s Scientific Manuscript database

The impact of rater bias and assessment method on hypothesis testing was studied for different experimental designs for plant disease assessment using balanced and unbalanced data sets. Data sets with the same number of replicate estimates for each of two treatments are termed ‘balanced’, and those ...
Physical activity assessed with three different methods and the Framingham Risk Score on 10-year coronary heart disease risk

USDA-ARS?s Scientific Manuscript database

Physical activity (PA) protects against coronary heart disease (CHD) by favorably altering several CHD risk factors. In order to best understand the true nature of the relationship between PA and CHD, the impact different PA assessment methods have on the relationships must first be clarified. The p...
Drug Target Prediction and Repositioning Using an Integrated Network-Based Approach

PubMed Central

Emig, Dorothea; Ivliev, Alexander; Pustovalova, Olga; Lancashire, Lee; Bureeva, Svetlana; Nikolsky, Yuri; Bessarabova, Marina

2013-01-01

The discovery of novel drug targets is a significant challenge in drug development. Although the human genome comprises approximately 30,000 genes, proteins encoded by fewer than 400 are used as drug targets in the treatment of diseases. Therefore, novel drug targets are extremely valuable as the source for first in class drugs. On the other hand, many of the currently known drug targets are functionally pleiotropic and involved in multiple pathologies. Several of them are exploited for treating multiple diseases, which highlights the need for methods to reliably reposition drug targets to new indications. Network-based methods have been successfully applied to prioritize novel disease-associated genes. In recent years, several such algorithms have been developed, some focusing on local network properties only, and others taking the complete network topology into account. Common to all approaches is the understanding that novel disease-associated candidates are in close overall proximity to known disease genes. However, the relevance of these methods to the prediction of novel drug targets has not yet been assessed. Here, we present a network-based approach for the prediction of drug targets for a given disease. The method allows both repositioning drug targets known for other diseases to the given disease and the prediction of unexploited drug targets which are not used for treatment of any disease. Our approach takes as input a disease gene expression signature and a high-quality interaction network and outputs a prioritized list of drug targets. We demonstrate the high performance of our method and highlight the usefulness of the predictions in three case studies. We present novel drug targets for scleroderma and different types of cancer with their underlying biological processes. Furthermore, we demonstrate the ability of our method to identify non-suspected repositioning candidates using diabetes type 1 as an example. PMID:23593264
Development of a social-hydrological-health framework for understanding risks of occurrence of diarrheal diseases

NASA Astrophysics Data System (ADS)

Khan, M. R. H.; Jutla, A.; Colwell, R. R.

2015-12-01

Diarrheal diseases continue to pose a severe health threat in regions where sanitation facilities remain marginal and are prone to destruction. With limited efficacy of vaccines, it is important to device alternate methods to determine environmental conditions favorable for diarrheal diseases. Several vibrios (V. cholerae., V. vulnificus, V. parahaemolyticus) have characteristic signatures that are associated with large scale climatic processes. The interactions of vibrios with humans eventually lead to outbreak of diseases. Here, using cholera as one of the signature diarrheal disease, we present a framework coupling social, hydrological and microbiological understanding with satellite remote sensing data to predict environmental conditions associated with outbreak of disease in several regions of sub-Saharan Africa. Hydroclimatic processes, primarily precipitation and temperature are found to be strongly associated with epidemic and episodic outbreak of cholera. We will present an algorithm to classify regions susceptible to risks of outbreak cholera using profile method in five epidemic regions of Mozambique, Central African Republic, Cameroon, South Sudan and Rwanda. Conditions for occurrence of cholera were detectable at least one month in advance. Using spatial land surface temperature (LST) data from satellites along with water accessibility data and population data, the implementation of the algorithm aid in classification of cholera risk regions.
Etiology of Non–Cystic Fibrosis Bronchiectasis in Adults and Its Correlation to Disease Severity

PubMed Central

Lonni, Sara; Chalmers, James D.; Goeminne, Pieter C.; McDonnell, Melissa J.; Dimakou, Katerina; De Soyza, Anthony; Polverino, Eva; Van de Kerkhove, Charlotte; Rutherford, Robert; Davison, John; Rosales, Edmundo; Pesci, Alberto; Restrepo, Marcos I.; Torres, Antoni

2015-01-01

Rationale: Testing for underlying etiology is a key part of bronchiectasis management, but it is unclear whether the same extent of testing is required across the spectrum of disease severity. Objectives: The aim of the present study was to identify the etiology of bronchiectasis across European cohorts and according to different levels of disease severity. Methods: We conducted an analysis of seven databases of adult outpatients with bronchiectasis prospectively enrolled at the bronchiectasis clinics of university teaching hospitals in Monza, Italy; Dundee and Newcastle, United Kingdom; Leuven, Belgium; Barcelona, Spain; Athens, Greece; and Galway, Ireland. All the patients at every site underwent the same comprehensive diagnostic workup as suggested by the British Thoracic Society. Measurements and Main Results: Among the 1,258 patients enrolled, an etiology of bronchiectasis was determined in 60%, including postinfective (20%), chronic obstructive pulmonary disease related (15%), connective tissue disease related (10%), immunodeficiency related (5.8%), and asthma related (3.3%). An etiology leading to a change in patient’s management was identified in 13% of the cases. No significant differences in the etiology of bronchiectasis were present across different levels of disease severity, with the exception of a higher prevalence of chronic obstructive pulmonary disease–related bronchiectasis (P < 0.001) and a lower prevalence of idiopathic bronchiectasis (P = 0.029) in patients with severe disease. Conclusions: Physicians should not be guided by disease severity in suspecting specific etiologies in patients with bronchiectasis, although idiopathic bronchiectasis appears to be less common in patients with the most severe disease. PMID:26431397
Comparison of analysis methods for airway quantification

NASA Astrophysics Data System (ADS)

Odry, Benjamin L.; Kiraly, Atilla P.; Novak, Carol L.; Naidich, David P.

2012-03-01

Diseased airways have been known for several years as a possible contributing factor to airflow limitation in Chronic Obstructive Pulmonary Diseases (COPD). Quantification of disease severity through the evaluation of airway dimensions - wall thickness and lumen diameter - has gained increased attention, thanks to the availability of multi-slice computed tomography (CT). Novel approaches have focused on automated methods of measurement as a faster and more objective means that the visual assessment routinely employed in the clinic. Since the Full-Width Half-Maximum (FWHM) method of airway measurement was introduced two decades ago [1], several new techniques for quantifying airways have been detailed in the literature, but no approach has truly become a standard for such analysis. Our own research group has presented two alternative approaches for determining airway dimensions, one involving a minimum path and the other active contours [2, 3]. With an increasing number of techniques dedicated to the same goal, we decided to take a step back and analyze the differences of these methods. We consequently put to the test our two methods of analysis and the FWHM approach. We first measured a set of 5 airways from a phantom of known dimensions. Then we compared measurements from the three methods to those of two independent readers, performed on 35 airways in 5 patients. We elaborate on the differences of each approach and suggest conclusions on which could be defined as the best one.
[Device-aided therapies in advanced Parkinson's disease].

PubMed

Timofeeva, A A

Advanced stages of Parkinson's disease (PD) is a consequence of the severe neurodegenerative process and are characterized by the development of motor fluctuations and dyskinesia, aggravation of non-motor symptoms. Treatment with peroral and transdermal drugs can't provide an adequate control of PD symptoms and quality-of-life of the patients at this stage of disease. Currently, three device-aided therapies: deep brain stimulation (DBS), intrajejunal infusion of duodopa, subcutaneous infusion of apomorphine can be used in treatment of patients with advanced stages of PD. Timely administration of device-aided therapies and right choice of the method determine, to a large extent, the efficacy and safety of their use. Despite the high efficacy of all three methods with respect to the fluctuation of separate symptoms, each method has its own peculiarities. The authors reviewed the data on the expediency of using each method according to the severity of motor and non-motor symptoms, patient's age, PD duration, concomitant pathology and social support of the patients.
Providing Counseling for Individuals with Alzheimer's Disease and Their Caregivers

ERIC Educational Resources Information Center

Granello, Paul F.; Fleming, Matthew S.

2008-01-01

Alzheimer's disease is a progressive condition that results in brain wasting and eventual death. With its increasing diagnosis rate, counselors will likely acquire clients with Alzheimer's disease or their caregivers. Important background information and several practical counseling methods are provided that may assist counselors working with this…
[Application of iodine metabolism analysis methods in thyroid diseases].

PubMed

Han, Jian-hua; Qiu, Ling

2013-08-01

The main physiological role of iodine in the body is to synthesize thyroid hormone. Both iodine deficiency and iodine excess can lead to severe thyroid diseases. While its role in thyroid diseases has increasingly been recognized, few relevant platforms and techniques for iodine detection have been available in China. This paper summarizes the advantages and disadvantages of currently iodine detection methods including direct titration, arsenic cerium catalytic spectrophotometry, chromatography with pulsed amperometry, colorimetry based on automatic biochemistry, inductively coupled plasma mass spectrometry, so as to optimize the iodine nutrition for patients with thyroid diseases.
Automatic assessment of mitral regurgitation severity based on extensive textural features on 2D echocardiography videos.

PubMed

Moghaddasi, Hanie; Nourian, Saeed

2016-06-01

Heart disease is the major cause of death as well as a leading cause of disability in the developed countries. Mitral Regurgitation (MR) is a common heart disease which does not cause symptoms until its end stage. Therefore, early diagnosis of the disease is of crucial importance in the treatment process. Echocardiography is a common method of diagnosis in the severity of MR. Hence, a method which is based on echocardiography videos, image processing techniques and artificial intelligence could be helpful for clinicians, especially in borderline cases. In this paper, we introduce novel features to detect micro-patterns of echocardiography images in order to determine the severity of MR. Extensive Local Binary Pattern (ELBP) and Extensive Volume Local Binary Pattern (EVLBP) are presented as image descriptors which include details from different viewpoints of the heart in feature vectors. Support Vector Machine (SVM), Linear Discriminant Analysis (LDA) and Template Matching techniques are used as classifiers to determine the severity of MR based on textural descriptors. The SVM classifier with Extensive Uniform Local Binary Pattern (ELBPU) and Extensive Volume Local Binary Pattern (EVLBP) have the best accuracy with 99.52%, 99.38%, 99.31% and 99.59%, respectively, for the detection of Normal, Mild MR, Moderate MR and Severe MR subjects among echocardiography videos. The proposed method achieves 99.38% sensitivity and 99.63% specificity for the detection of the severity of MR and normal subjects. Copyright © 2016 Elsevier Ltd. All rights reserved.
Evaluation of nutritional indicators and body composition in patients with advanced liver disease enrolled for liver transplantation.

PubMed

Vulcano, Daniela Salate Biagioni; Carvalhaes, Maria Antonieta de Barros Leite; Bakonyi Neto, Alexandre

2013-10-01

Malnutrition is prevalent in patients with advanced liver disease (LD) related to multifactorial causes. Fluid retention can underestimate the nutritional status based on anthropometric measures. We evaluated nutritional indicators and body composition (BC) in patients with liver cirrhosis and correlated them with LD severity. Forty three patients with LD enrolled for liver transplantation were evaluated by Anthropometric measures, subjective evaluation (Global Assessment of Nutritional Status - SGA) and biochemical indicators. Single-frequency electrical bioimpedance (SFE-BIA) was used to evaluate body composition (BC). It measured resistance (R), reactance (Xc) and the phase angle (PA). LD severity was estimated by Child-Pugh and Meld criteria (Model for End-Stage Liver Disease). Child-Pugh index between patients was 7.11 ± 1.70 and Meld was 12.23 ± 4.22. Arm Circumference, Arm Muscle Circumference and Arm Muscle Area, SGA, hemoglobin, hematocrit and albumin showed better correlation with disease severity. Xc and PA showed correlation both with Meld and Child-Pugh score when BC were evaluated. PA was depleted in 55.8% of the patients. Diagnosis of malnutrition varied according to the method. Global assessment of nutritional status showed better correlation with disease severity than with objective methods. Single-frequency electrical bioimpedance for body composition analysis in cirrhotic patients must be cautiously used; however, primary vectors seems to be valid and promising in clinical practice.
On the significance of electroconvulsive therapy in the treatment of severe mental diseases.

PubMed

Grözinger, Michael; Smith, Elke Stefanie; Conca, Andreas

2015-04-01

Quite a few patients with severe mental diseases do not respond sufficiently to psychopharmacology and psychotherapy. For some of these, electroconvulsive therapy (ECT) offers a promising alternative. Erroneously, the method is being perceived as old fashioned by the lay public, but also by many doctors. Therefore, this overview aims at all colleagues who in their role as multipliers, referring physicians or ECT specialists can reduce the likelihood of mental disease to become chronic. During the last decades, numerous international medical societies including the Austrian and the German Association for Psychiatry (ÖGPP and DGPPN) have pointed to the importance of ECT as a modern medical intervention. Our overview is based on these guidelines and statements. Additionally selective literature searches have been conducted concerning some key aspects. Due to its excellent efficacy, ECT is an important option in the treatment of severe mental disease. Technological innovations and continued development in the psychiatric environment determined the evolution from the electroshock of the 1930s to the ECT of today. This process led to reduced side effects and a stronger patient-oriented praxis. ECT is a modern, highly effective and safe treatment of severe mental diseases with comparatively few side effects. The method should not be used as a last resort but in an evidence-based way. Patients should be informed timely and adequately about the therapeutic option.
Clinical hypnosis for palliative care in severe chronic diseases: a review and the procedures for relieving physical, psychological and spiritual symptoms.

PubMed

Brugnoli, Maria Paola

2016-10-01

Hypnotic treatment in severe chronic diseases, for pain and symptoms relief, has proven efficacy as adjuvant therapy, and should be offered to any individual, who expresses an interest in this method. While some theorize hypnotizability as a changing attribute of the individual, there is a growing body of literature that indicates hypnotizability may be characterized as a constellation of potentially modifiable attitudes and skills, which are strongly influenced by related factors, as suffering, in severe chronic diseases. In this article, I briefly review representative studies recognizing how clinical hypnosis in medicine is an effective complementary therapy, for pain and symptom's relief in severe chronic diseases and in palliative care. This paper highlights: (I) a scientific review to underline how clinical hypnosis has an important impact on the treatment goals and integration in relieving pain and symptoms; (II) the advanced techniques for effectively relieving pain and symptoms.
A novel approach for predicting microRNA-disease associations by unbalanced bi-random walk on heterogeneous network.

PubMed

Luo, Jiawei; Xiao, Qiu

2017-02-01

MicroRNAs (miRNAs) play a critical role by regulating their targets in post-transcriptional level. Identification of potential miRNA-disease associations will aid in deciphering the pathogenesis of human polygenic diseases. Several computational models have been developed to uncover novel miRNA-disease associations based on the predicted target genes. However, due to the insufficient number of experimentally validated miRNA-target interactions as well as the relatively high false-positive and false-negative rates of predicted target genes, it is still challenging for these prediction models to obtain remarkable performances. The purpose of this study is to prioritize miRNA candidates for diseases. We first construct a heterogeneous network, which consists of a disease similarity network, a miRNA functional similarity network and a known miRNA-disease association network. Then, an unbalanced bi-random walk-based algorithm on the heterogeneous network (BRWH) is adopted to discover potential associations by exploiting bipartite subgraphs. Based on 5-fold cross validation, the proposed network-based method achieves AUC values ranging from 0.782 to 0.907 for the 22 human diseases and an average AUC of almost 0.846. The experiments indicated that BRWH can achieve better performances compared with several popular methods. In addition, case studies of some common diseases further demonstrated the superior performance of our proposed method on prioritizing disease-related miRNA candidates. Copyright Â© 2017 Elsevier Inc. All rights reserved.
Prediction of Disease Causing Non-Synonymous SNPs by the Artificial Neural Network Predictor NetDiseaseSNP

PubMed Central

Johansen, Morten Bo; Izarzugaza, Jose M. G.; Brunak, Søren; Petersen, Thomas Nordahl; Gupta, Ramneek

2013-01-01

We have developed a sequence conservation-based artificial neural network predictor called NetDiseaseSNP which classifies nsSNPs as disease-causing or neutral. Our method uses the excellent alignment generation algorithm of SIFT to identify related sequences and a combination of 31 features assessing sequence conservation and the predicted surface accessibility to produce a single score which can be used to rank nsSNPs based on their potential to cause disease. NetDiseaseSNP classifies successfully disease-causing and neutral mutations. In addition, we show that NetDiseaseSNP discriminates cancer driver and passenger mutations satisfactorily. Our method outperforms other state-of-the-art methods on several disease/neutral datasets as well as on cancer driver/passenger mutation datasets and can thus be used to pinpoint and prioritize plausible disease candidates among nsSNPs for further investigation. NetDiseaseSNP is publicly available as an online tool as well as a web service: http://www.cbs.dtu.dk/services/NetDiseaseSNP PMID:23935863
Health utility of patients with Crohn's disease and ulcerative colitis: a systematic review and meta-analysis.

PubMed

Malinowski, Krzysztof Piotr; Kawalec, Paweł

2016-08-01

The aim of this systematic review was to collect and summarize the current data on the utilities of patients with Crohn's disease (CD) and ulcerative colitis (UC). A meta-analysis of the obtained utilities was performed using a random-effects model and meta-regression by the disease type and severity. A bootstrap analysis was performed as it does not require assumption on distribution of the data. The highest utility among patients with CD and UC was observed when the diseases were in remission. The meta-regression analysis showed that both disease severity and an instrument/method/questionnaire used to obtain utilities were significant predictors of utility. Utility was the lowest for severe disease and the highest for disease in remission, the association was more notable in patients with CD compared with UC. Expert commentary: The issue of patients' utility is important for healthcare decision makers but it has not been fully investigated and requires further study.
Assessment of incidence of severe sepsis in Sweden using different ways of abstracting International Classification of Diseases codes: difficulties with methods and interpretation of results.

PubMed

Wilhelms, Susanne B; Huss, Fredrik R; Granath, Göran; Sjöberg, Folke

2010-06-01

To compare three International Classification of Diseases code abstraction strategies that have previously been reported to mirror severe sepsis by examining retrospective Swedish national data from 1987 to 2005 inclusive. Retrospective cohort study. Swedish hospital discharge database. All hospital admissions during the period 1987 to 2005 were extracted and these patients were screened for severe sepsis using the three International Classification of Diseases code abstraction strategies, which were adapted for the Swedish version of the International Classification of Diseases. Two code abstraction strategies included both International Classification of Diseases, Ninth Revision and International Classification of Diseases, Tenth Revision codes, whereas one included International Classification of Diseases, Tenth Revision codes alone. None. The three International Classification of Diseases code abstraction strategies identified 37,990, 27,655, and 12,512 patients, respectively, with severe sepsis. The incidence increased over the years, reaching 0.35 per 1000, 0.43 per 1000, and 0.13 per 1000 inhabitants, respectively. During the International Classification of Diseases, Ninth Revision period, we found 17,096 unique patients and of these, only 2789 patients (16%) met two of the code abstraction strategy lists and 14,307 (84%) met one list. The International Classification of Diseases, Tenth Revision period included 46,979 unique patients, of whom 8% met the criteria of all three International Classification of Diseases code abstraction strategies, 7% met two, and 84% met one only. The three different International Classification of Diseases code abstraction strategies generated three almost separate cohorts of patients with severe sepsis. Thus, the International Classification of Diseases code abstraction strategies for recording severe sepsis in use today provides an unsatisfactory way of estimating the true incidence of severe sepsis. Further studies relating International Classification of Diseases code abstraction strategies to the American College of Chest Physicians/Society of Critical Care Medicine scores are needed.

Accounting for the economic risk caused by variation in disease severity in fungicide dose decisions, exemplified for Mycosphaerella graminicola on winter wheat.

PubMed

Te Beest, D E; Paveley, N D; Shaw, M W; van den Bosch, F

2013-07-01

A method is presented to calculate economic optimum fungicide doses accounting for the risk aversion of growers responding to variability in disease severity between crops. Simple dose-response and disease-yield loss functions are used to estimate net disease-related costs (fungicide cost plus disease-induced yield loss) as a function of dose and untreated severity. With fairly general assumptions about the shapes of the probability distribution of disease severity and the other functions involved, we show that a choice of fungicide dose which minimizes net costs, on average, across seasons results in occasional large net costs caused by inadequate control in high disease seasons. This may be unacceptable to a grower with limited capital. A risk-averse grower can choose to reduce the size and frequency of such losses by applying a higher dose as insurance. For example, a grower may decide to accept "high-loss" years 1 year in 10 or 1 year in 20 (i.e., specifying a proportion of years in which disease severity and net costs will be above a specified level). Our analysis shows that taking into account disease severity variation and risk aversion will usually increase the dose applied by an economically rational grower. The analysis is illustrated with data on Septoria tritici leaf blotch of wheat caused by Mycosphaerella graminicola. Observations from untreated field plots at sites across England over 3 years were used to estimate the probability distribution of disease severities at mid-grain filling. In the absence of a fully reliable disease forecasting scheme, reducing the frequency of high-loss years requires substantially higher doses to be applied to all crops. Disease-resistant cultivars reduce both the optimal dose at all levels of risk and the disease-related costs at all doses.
Certolizumab pegol in a heterogeneous population of patients with moderate-to-severe rheumatoid arthritis

PubMed Central

Soriano, Enrique R; Dellepiane, Analia; Salvatierra, Gabriela; Benítez, Cristian Alejandro; Salinas, Rodrigo Garcia; Baruzzo, Carlos

2018-01-01

Aim: To determine the efficacy and safety of certolizumab pegol for the treatment of rheumatoid arthritis in a real-world setting. Materials & methods: Patients with moderate-to-severe rheumatoid arthritis who initiated therapy with certolizumab were followed for 12 weeks. Response was assessed with Disease Activity Score of 28 joints, European Ligue Against Rheumatism criteria and Simplified Disease Activity Index. Predictors of response were analyzed with binary logistic regression models. Results: Statistically significant decreases in tender and swollen joint counts, laboratory parameters and use of corticosteroids and disease-modifying antirheumatic drugs were found. Disease activity also significantly diminished. Higher Disease Activity Score of 28 joints at baseline was the main predictor of response. No severe adverse events were reported. Conclusion: Certolizumab was effective and well tolerated, particularly in the subpopulation with higher inflammatory burden at baseline. PMID:29682324
Plasma proteins predict conversion to dementia from prodromal disease

PubMed Central

Hye, Abdul; Riddoch-Contreras, Joanna; Baird, Alison L.; Ashton, Nicholas J.; Bazenet, Chantal; Leung, Rufina; Westman, Eric; Simmons, Andrew; Dobson, Richard; Sattlecker, Martina; Lupton, Michelle; Lunnon, Katie; Keohane, Aoife; Ward, Malcolm; Pike, Ian; Zucht, Hans Dieter; Pepin, Danielle; Zheng, Wei; Tunnicliffe, Alan; Richardson, Jill; Gauthier, Serge; Soininen, Hilkka; Kłoszewska, Iwona; Mecocci, Patrizia; Tsolaki, Magda; Vellas, Bruno; Lovestone, Simon

2014-01-01

Background The study aimed to validate previously discovered plasma biomarkers associated with AD, using a design based on imaging measures as surrogate for disease severity and assess their prognostic value in predicting conversion to dementia. Methods Three multicenter cohorts of cognitively healthy elderly, mild cognitive impairment (MCI), and AD participants with standardized clinical assessments and structural neuroimaging measures were used. Twenty-six candidate proteins were quantified in 1148 subjects using multiplex (xMAP) assays. Results Sixteen proteins correlated with disease severity and cognitive decline. Strongest associations were in the MCI group with a panel of 10 proteins predicting progression to AD (accuracy 87%, sensitivity 85%, and specificity 88%). Conclusions We have identified 10 plasma proteins strongly associated with disease severity and disease progression. Such markers may be useful for patient selection for clinical trials and assessment of patients with predisease subjective memory complaints. PMID:25012867
[INVESTIGATION OF THE LEVEL OF MINERAL DENSITY OF SKELETAL OSSEOUS TISSUE IN PATIENTS WITH PERIODONTAL TISSUE DISEASES].

PubMed

Hodovana, O I

2015-01-01

Results of investigation of mineral density condition of skeletal osseous tissue in patients with inflammatory and dystrophic-inflammatory diseases of periodontal tissues with ultrasound densitometry method have been presented. Various changes of osseous tissue of skeletal bones have been detected: osteopenia, osteoporosis and osteosclerosis, which correlated with the severity of pathological process in periodontium. Analysis of the obtained results has been carried out depending on patients' sex as well as form and severity degree of the course of periodontal diseases. It has been established that the peak of detected impairments of mineral density in the skeleton is due to osteopenia, the degree of severity of which deteriorates with the severity of pathological process in periodontal tissues, especially in women.
The challenge for genetic epidemiologists: how to analyze large numbers of SNPs in relation to complex diseases.

PubMed

Heidema, A Geert; Boer, Jolanda M A; Nagelkerke, Nico; Mariman, Edwin C M; van der A, Daphne L; Feskens, Edith J M

2006-04-21

Genetic epidemiologists have taken the challenge to identify genetic polymorphisms involved in the development of diseases. Many have collected data on large numbers of genetic markers but are not familiar with available methods to assess their association with complex diseases. Statistical methods have been developed for analyzing the relation between large numbers of genetic and environmental predictors to disease or disease-related variables in genetic association studies. In this commentary we discuss logistic regression analysis, neural networks, including the parameter decreasing method (PDM) and genetic programming optimized neural networks (GPNN) and several non-parametric methods, which include the set association approach, combinatorial partitioning method (CPM), restricted partitioning method (RPM), multifactor dimensionality reduction (MDR) method and the random forests approach. The relative strengths and weaknesses of these methods are highlighted. Logistic regression and neural networks can handle only a limited number of predictor variables, depending on the number of observations in the dataset. Therefore, they are less useful than the non-parametric methods to approach association studies with large numbers of predictor variables. GPNN on the other hand may be a useful approach to select and model important predictors, but its performance to select the important effects in the presence of large numbers of predictors needs to be examined. Both the set association approach and random forests approach are able to handle a large number of predictors and are useful in reducing these predictors to a subset of predictors with an important contribution to disease. The combinatorial methods give more insight in combination patterns for sets of genetic and/or environmental predictor variables that may be related to the outcome variable. As the non-parametric methods have different strengths and weaknesses we conclude that to approach genetic association studies using the case-control design, the application of a combination of several methods, including the set association approach, MDR and the random forests approach, will likely be a useful strategy to find the important genes and interaction patterns involved in complex diseases.
[Respiratory stridency by larynx paralysis. Anusual beginning of miastenia].

PubMed

Padilla Parrado, M; Morales Puebla, J M; Díaz Sastre, M A; Caro García, M A; Cabeza Alvarez, C I; Velázquez Pérez, J M; Menéndez Loras, L M

2006-01-01

A case of severe miastenia beginning with dyspnea, secondary to a bilateral larynx paralysis in aduction is presented. During the evolution of the severe miastenia the affectation of the larynx musculature does not result infrequent, but however, after having realized a bibliographic revision, the infrequency resulting in this disease of the beginning through a bilateral larynx paralysis in aduction was verified. A wide exposition of the clinic case, methods of exploration to obtain the diagnosis of severe miastenia, and the different treatment options actually in use to control these disease, are realized.
Heritability of Lung Disease Severity in Cystic Fibrosis

PubMed Central

Vanscoy, Lori L.; Blackman, Scott M.; Collaco, Joseph M.; Bowers, Amanda; Lai, Teresa; Naughton, Kathleen; Algire, Marilyn; McWilliams, Rita; Beck, Suzanne; Hoover-Fong, Julie; Hamosh, Ada; Cutler, Dave; Cutting, Garry R.

2007-01-01

Rationale: Obstructive lung disease, the major cause of mortality in cystic fibrosis (CF), is poorly correlated with mutations in the disease-causing gene, indicating that other factors determine severity of lung disease. Objectives: To quantify the contribution of modifier genes to variation in CF lung disease severity. Methods: Pulmonary function data from patients with CF living with their affected twin or sibling were converted into reference values based on both healthy and CF populations. The best measure of FEV1 within the last year was used for cross-sectional analysis. FEV1 measures collected over at least 4 years were used for longitudinal analysis. Genetic contribution to disease variation (i.e., heritability) was estimated in two ways: by comparing similarity of lung function in monozygous (MZ) twins (∼ 100% gene sharing) with that of dizygous (DZ) twins/siblings (∼ 50% gene sharing), and by comparing similarity of lung function measures for related siblings to similarity for all study subjects. Measurements and Main Results: Forty-seven MZ twin pairs, 10 DZ twin pairs, and 231 sibling pairs (of a total of 526 patients) with CF were studied. Correlations for all measures of lung function for MZ twins (0.82–0.91, p < 0.0001) were higher than for DZ twins and siblings (0.50–0.64, p < 0.001). Heritability estimates from both methods were consistent for each measure of lung function and ranged from 0.54 to 1.0. Heritability estimates generally increased after adjustment for differences in nutritional status (measured as body mass index z-score). Conclusions: Our heritability estimates indicate substantial genetic control of variation in CF lung disease severity, independent of CFTR genotype. PMID:17332481
State of the art diagnostic of mold diseases: a practical guide for clinicians.

PubMed

Beirão, F; Araujo, R

2013-01-01

The epidemiology of fungal diseases changed, and molds have been increasingly associated with high mortality in severe immunocompromised patients. Invasive mold diseases may originate from the airborne conidia through inhalation or inoculation in skin fissures associated with indwelling catheters, wounds, burns, or onychomycosis. The diagnosis and treatment of fungal diseases is problematic and raises considerable challenges. Diagnosis of invasive mold diseases includes several methodologies, of which the most commonly used are the cultural methods, antigen testing, nucleic acid detection, and radiological imaging. Galactomannan and (1 → 3)-β-D-glucan detection significantly improved mold diagnosis in the last decade. Several molecular strategies have been proposed over the years but no consensus was achieved for standardized protocols or cut-off values. Recently, the first commercially available molecular assay for detection of Aspergillus was tested and the results were highly reproducible. In addition, blood cultures may also be helpful for invasive aspergillosis by following a novel procedure for the recovery of Aspergillus spp. from blood cultures. The association of distinct diagnostic methods, particularly molecular tests, galactomannan, and/or (1 → 3)-β-D-glucan detection, may provide earlier and more sensitive diagnosis of mold diseases and be indicative for early antifungal treatment. Accurate routine use of diagnostic tests can be cost-effective for laboratories and be of great value to patients.
[Interventional radiology treatment of extensive pulmonary embolism and thromboembolic diseases].

PubMed

Battyáni, István; Dósa, Edit; Harmat, Zoltán

2015-04-26

The authors discuss interventional radiological methods in the field of vascular interventions applied in venous system diseases. Venous diseases can be life threatening without appropriate treatment and can lead to chronic venous diseases and venous insufficiency with long-term reduction in the quality of life. In addition, recurrent clinical symptoms require additional treatments. Interventional radiology has several methods that can provide fast and complete recovery if applied in time. The authors summarize these methods hoping that they will be available for a wide range of patients through the establishment of Interventional Radiological Centres and will be a part of the daily routine of patient care. Regarding the frequency of venous diseases and its influance on life quality the authors would like to draw attention to interventional radiological techniques and modern therapeutic possibilities.
Approaches to predicting potential impacts of climate change on forest disease: An example with Armillaria root disease

Treesearch

Ned B. Klopfenstein; Mee-Sook Kim; John W. Hanna; Bryce A. Richardson; John E. Lundquist

2011-01-01

Climate change will likely have dramatic impacts on forest health because many forest trees could become maladapted to climate. Furthermore, climate change will have additional impacts on forest health through changes in the distribution and severity of forest disease. Methods are needed to predict the influence of climate change on forest disease so that appropriate...
A CLINICAL AND SEROLOGIC COMPARISON OF AFRICAN-AMERICAN AND CAUCASIAN PATIENTS WITH SYSTEMIC SCLEROSIS

PubMed Central

Steen, Virginia; Domsic, Robyn T.; Lucas, Mary; Fertig, Noreen; Medsger, Thomas A.

2013-01-01

Objective Epidemiology studies suggest that Systemic Sclerosis is more common, occurs at a younger age and is more severe in African-Americans than Caucasians. However, the scleroderma autoantibody profile is very different between these two ethnic subgroups. This study examines the demographic and disease features, frequency and severity of internal organ system involvement and survival in African-American and Caucasian SSc patients with particular attention to their serum autoantibody profiles. Methods Demographic, clinical, autoantibody, natural history of organ involvement and survival were studied in consecutive African-American and Caucasian patients seen between 1972 and 2007 as part of the Pittsburgh Scleroderma Database. The Medsger Disease Severity Scale was used to determine severe disease. Results African-American patients were more likely to have anti topoisomerase, anti U1RNP and U3 RNP auto-antibodies. Comparing African-American and Caucasians with these antibodies, African-American patients with anti topoisomerase antibody had more frequent and more severe pulmonary fibrosis than Caucasians and an associated decreased survival. Pulmonary fibrosis was also more severe in the U1 RNP patients but was not associated with a difference in survival between African Americans and Caucasians. Anti U3 RNP was associated with more severe gastrointestinal involvement in African-American’s compared to Caucasians. Conclusions African Americans with systemic sclerosis have more severe disease complications than Caucasians both because of the type of autoantibody they have and because they have more severe interstitial lung disease even within the antibody subset. Early aggressive intervention in all African Americans with interstitial lung disease should be a priority. PMID:22576620
Hydrogen sulfide production from subgingival plaque samples.

PubMed

Basic, A; Dahlén, G

2015-10-01

Periodontitis is a polymicrobial anaerobe infection. Little is known about the dysbiotic microbiota and the role of bacterial metabolites in the disease process. It is suggested that the production of certain waste products in the proteolytic metabolism may work as markers for disease severity. Hydrogen sulfide (H2S) is a gas produced by degradation of proteins in the subgingival pocket. It is highly toxic and believed to have pro-inflammatory properties. We aimed to study H2S production from subgingival plaque samples in relation to disease severity in subjects with natural development of the disease, using a colorimetric method based on bismuth precipitation. In remote areas of northern Thailand, adults with poor oral hygiene habits and a natural development of periodontal disease were examined for their oral health status. H2S production was measured with the bismuth method and subgingival plaque samples were analyzed for the presence of 20 bacterial species with the checkerboard DNA-DNA hybridization technique. In total, 43 subjects were examined (age 40-60 years, mean PI 95 ± 6.6%). Fifty-six percent had moderate periodontal breakdown (CAL > 3 < 7 mm) and 35% had severe periodontal breakdown (CAL > 7 mm) on at least one site. Parvimonas micra, Filifactor alocis, Porphyromonas endodontalis and Fusobacterium nucleatum were frequently detected. H2S production could not be correlated to periodontal disease severity (PPD or CAL at sampled sites) or to a specific bacterial composition. Site 21 had statistically lower production of H2S (p = 0.02) compared to 16 and 46. Betel nut chewers had statistically significant lower H2S production (p = 0.01) than non-chewers. Rapid detection and estimation of subgingival H2S production capacity was easily and reliably tested by the colorimetric bismuth sulfide precipitation method. H2S may be a valuable clinical marker for degradation of proteins in the subgingival pocket. Copyright © 2014 Elsevier Ltd. All rights reserved.
IL-1β, IL-6, and RANTES as Biomarkers of Chikungunya Severity

PubMed Central

Sun, Yong-Jiang; Kwek, Dyan J. C.; Lim, Poh-Lian; Dimatatac, Frederico; Ng, Lee-Ching; Ooi, Eng-Eong; Choo, Khar-Heng; Her, Zhisheng; Kourilsky, Philippe; Leo, Yee-Sin

2009-01-01

Background Little is known about the immunopathogenesis of Chikungunya virus. Circulating levels of immune mediators and growth factors were analyzed from patients infected during the first Singaporean Chikungunya fever outbreak in early 2008 to establish biomarkers associated with infection and/or disease severity. Methods and Findings Adult patients with laboratory-confirmed Chikungunya fever infection, who were referred to the Communicable Disease Centre/Tan Tock Seng Hospital during the period from January to February 2008, were included in this retrospective study. Plasma fractions were analyzed using a multiplex-microbead immunoassay. Among the patients, the most common clinical features were fever (100%), arthralgia (90%), rash (50%) and conjunctivitis (40%). Profiles of 30 cytokines, chemokines, and growth factors were able to discriminate the clinical forms of Chikungunya from healthy controls, with patients classified as non-severe and severe disease. Levels of 8 plasma cytokines and 4 growth factors were significantly elevated. Statistical analysis showed that an increase in IL-1β, IL-6 and a decrease in RANTES were associated with disease severity. Conclusions This is the first comprehensive report on the production of cytokines, chemokines, and growth factors during acute Chikungunya virus infection. Using these biomarkers, we were able to distinguish between mild disease and more severe forms of Chikungunya fever, thus enabling the identification of patients with poor prognosis and monitoring of the disease. PMID:19156204
Network-based prediction and knowledge mining of disease genes

PubMed Central

2015-01-01

Background In recent years, high-throughput protein interaction identification methods have generated a large amount of data. When combined with the results from other in vivo and in vitro experiments, a complex set of relationships between biological molecules emerges. The growing popularity of network analysis and data mining has allowed researchers to recognize indirect connections between these molecules. Due to the interdependent nature of network entities, evaluating proteins in this context can reveal relationships that may not otherwise be evident. Methods We examined the human protein interaction network as it relates to human illness using the Disease Ontology. After calculating several topological metrics, we trained an alternating decision tree (ADTree) classifier to identify disease-associated proteins. Using a bootstrapping method, we created a tree to highlight conserved characteristics shared by many of these proteins. Subsequently, we reviewed a set of non-disease-associated proteins that were misclassified by the algorithm with high confidence and searched for evidence of a disease relationship. Results Our classifier was able to predict disease-related genes with 79% area under the receiver operating characteristic (ROC) curve (AUC), which indicates the tradeoff between sensitivity and specificity and is a good predictor of how a classifier will perform on future data sets. We found that a combination of several network characteristics including degree centrality, disease neighbor ratio, eccentricity, and neighborhood connectivity help to distinguish between disease- and non-disease-related proteins. Furthermore, the ADTree allowed us to understand which combinations of strongly predictive attributes contributed most to protein-disease classification. In our post-processing evaluation, we found several examples of potential novel disease-related proteins and corresponding literature evidence. In addition, we showed that first- and second-order neighbors in the PPI network could be used to identify likely disease associations. Conclusions We analyzed the human protein interaction network and its relationship to disease and found that both the number of interactions with other proteins and the disease relationship of neighboring proteins helped to determine whether a protein had a relationship to disease. Our classifier predicted many proteins with no annotated disease association to be disease-related, which indicated that these proteins have network characteristics that are similar to disease-related proteins and may therefore have disease associations not previously identified. By performing a post-processing step after the prediction, we were able to identify evidence in literature supporting this possibility. This method could provide a useful filter for experimentalists searching for new candidate protein targets for drug repositioning and could also be extended to include other network and data types in order to refine these predictions. PMID:26043920
Hyperthyroid vs hypothyroid eye disease: the same severity and activity

PubMed Central

Kashkouli, M B; Pakdel, F; Kiavash, V; Heidari, I; Heirati, A; Jam, S

2011-01-01

Purpose To compare demographics, severity, and activity of thyroid eye disease (TED) in patients with hyperthyroidism (Hr-TED) vs primary hypothyroidism (Ho-TED). Patients and Methods In a cross-sectional study, demographics, complete eye examination, severity score (NOSPECS, total hundred eye score), clinical activity score, and Rundle grading were recorded for patients with TED and different thyroid disorders referred from an endocrinology clinic from 2003 to 2006. Results TED was clinically found in 303 patients (303/851, 35.6%). The majority of them (280/303, 92.4%) had Graves' hyperthyroidism and 23 (23/303, 7.5%) had primary hypothyroidism. Mean age, gender, mean severity score, mean activity score, Rundle grade, unilateral presentation of TED, smoking habit, mean duration of eye disease, and mean interval time of thyroid to TED were not significantly different between the two groups (0.06
Depressive Symptomatology, Quality of Life and Disease Control among Individuals with Well-Characterized Severe Asthma

PubMed Central

Yonas, Michael A.; Marsland, Anna L.; Emeremni, Chetachi A.; Moore, Charity G.; Holguin, Fernando; Wenzel, Sally

2014-01-01

Objectives A thorough examination of the relationship of asthma severity and control with symptoms of depression is needed to identify groups of asthmatics at high risk for poor disease control outcomes. This study examines the relationship of symptoms of depression with severity and control in a well characterized cohort of asthmatics and healthy controls. Methods Depressive symptoms and quality of life were assessed using the Beck Depression Inventory. Disease control was measured by a composite index incorporating symptoms, activity limitation, and rescue medication use. Results Individuals with asthma (n=91) reported more symptoms of depression than controls (n=36; p<0.001). Those with Severe asthma (n=49) reported more symptoms of depression (p=0.002) and poorer asthma control (p<0.0001) than those with Not Severe asthma. Worse asthma control was associated with more depressive symptoms in Severe (r=0.46, p=0.002) but not in Not Severe (r=0.13, p=0.40) asthmatics. The relationship of symptoms of depression among Severe asthmatics was attenuated by disease control. Exploratory analyses identified specific disease symptom characteristics, as opposed to exacerbations, as associated with symptoms of depression. Conclusions Among individuals with severe asthma, increased symptom burden is positively associated with risk for co-morbid depression. These findings point to a need for regular mood disorder screenings and treatment referrals among this group. Further research is warranted to examine whether treatment of comorbid depression improves treatment adherence and asthma-related quality of life. PMID:23725317
Cell biomechanics and its applications in human disease diagnosis

NASA Astrophysics Data System (ADS)

Nematbakhsh, Yasaman; Lim, Chwee Teck

2015-04-01

Certain diseases are known to cause changes in the physical and biomechanical properties of cells. These include cancer, malaria, and sickle cell anemia among others. Typically, such physical property changes can result in several fold increases or decreases in cell stiffness, which are significant and can result in severe pathology and eventual catastrophic breakdown of the bodily functions. While there are developed biochemical and biological assays to detect the onset or presence of diseases, there is always a need to develop more rapid, precise, and sensitive methods to detect and diagnose diseases. Biomechanical property changes can play a significant role in this regard. As such, research into disease biomechanics can not only give us an in-depth knowledge of the mechanisms underlying disease progression, but can also serve as a powerful tool for detection and diagnosis. This article provides some insights into opportunities for how significant changes in cellular mechanical properties during onset or progression of a disease can be utilized as useful means for detection and diagnosis. We will also showcase several technologies that have already been developed to perform such detection and diagnosis.
[The relationship between extraesophageal manifestations of gastroesophageal reflux disease, the frequency of heartburn and severity of oesophagitis].

PubMed

2011-01-01

We performed clinico-epidemiologic screening for the heartburn in a representative sample from a total of 1138 subjects and for oesophagitis from 371 ones. In a separate study 120 patients were divided into groups differing in the severity of oesophagitis based on the Savary-Miller classification. The extraesophageal manifestations were diagnosed by clinical and instrumental methods. The close relationship of these manifestations with heartburn and oesophagitis was more pronounced in men than in women. Enhanced severity of the lesions in eosophageal mucosa in patients with oesophagitis was related to increased frequency of ENT diseases and cardialgia but not respiratory disorders. The data obtained give evidence of direct association of heartburn and eosophagitis with coughing, ENT diseases and cardialgia.
NDRC: A Disease-Causing Genes Prioritized Method Based on Network Diffusion and Rank Concordance.

PubMed

Fang, Minghong; Hu, Xiaohua; Wang, Yan; Zhao, Junmin; Shen, Xianjun; He, Tingting

2015-07-01

Disease-causing genes prioritization is very important to understand disease mechanisms and biomedical applications, such as design of drugs. Previous studies have shown that promising candidate genes are mostly ranked according to their relatedness to known disease genes or closely related disease genes. Therefore, a dangling gene (isolated gene) with no edges in the network can not be effectively prioritized. These approaches tend to prioritize those genes that are highly connected in the PPI network while perform poorly when they are applied to loosely connected disease genes. To address these problems, we propose a new disease-causing genes prioritization method that based on network diffusion and rank concordance (NDRC). The method is evaluated by leave-one-out cross validation on 1931 diseases in which at least one gene is known to be involved, and it is able to rank the true causal gene first in 849 of all 2542 cases. The experimental results suggest that NDRC significantly outperforms other existing methods such as RWR, VAVIEN, DADA and PRINCE on identifying loosely connected disease genes and successfully put dangling genes as potential candidate disease genes. Furthermore, we apply NDRC method to study three representative diseases, Meckel syndrome 1, Protein C deficiency and Peroxisome biogenesis disorder 1A (Zellweger). Our study has also found that certain complex disease-causing genes can be divided into several modules that are closely associated with different disease phenotype.
[Recent advances in research on Malassezia microbiota in humans].

PubMed

Sugita, Takashi; Zhang, Enshi; Tanaka, Takafumi; Nishikawa, Akemi; Tajima, Mami; Tsuboi, Ryoji

2013-01-01

Malassezia species of lipophilic yeasts account for most fungal microbiota. Although they colonize healthy skin, they are also associated with several skin diseases, including pityriasis versicolor, seborrheic dermatitis, Malassezia folliculitis, and atopic dermatitis. To date, 14 members of the Malassezia genus have been identified. Of these, both M. globosa and M. restricta predominate, regardless of skin-disease type. Comprehensive analysis of fungal microbiota in the skin of patients with atopic dermatitis using an rRNA clone library method revealed that fungal microbiota cluster according to disease severity. The external ear canal and sole of the foot are colonized by specific Malassezia microbiota.

A preliminary study for fully automated quantification of psoriasis severity using image mapping

NASA Astrophysics Data System (ADS)

Mukai, Kazuhiro; Iyatomi, Hitoshi

2014-03-01

Psoriasis is a common chronic skin disease and it detracts patients' QoL seriously. Since there is no known permanent cure so far, controlling appropriate disease condition is necessary and therefore quantification of its severity is important. In clinical, psoriasis area and severity index (PASI) is commonly used for abovementioned purpose, however it is often subjective and troublesome. A fully automatic computer-assisted area and severity index (CASI) was proposed to make an objective quantification of skin disease. It investigates the size and density of erythema based on digital image analysis, however it does not consider various inadequate effects caused by different geometrical conditions under clinical follow-up (i.e. variability in direction and distance between camera and patient). In this study, we proposed an image alignment method for clinical images and investigated to quantify the severity of psoriasis under clinical follow-up combined with the idea of CASI. The proposed method finds geometrical same points in patient's body (ROI) between images with Scale Invariant Feature Transform (SIFT) and performs the Affine transform to map the pixel value to the other. In this study, clinical images from 7 patients with psoriasis lesions on their trunk under clinical follow-up were used. In each series, our image alignment algorithm align images to the geometry of their first image. Our proposed method aligned images appropriately on visual assessment and confirmed that psoriasis areas were properly extracted using the approach of CASI. Although we cannot evaluate PASI and CASI directly due to their different definition of ROI, we confirmed that there is a large correlation between those scores with our image quantification method.
Commonly used severity scores are not good predictors of mortality in sepsis from severe leptospirosis: a series of ten patients.

PubMed

Velissaris, Dimitrios; Karanikolas, Menelaos; Flaris, Nikolaos; Fligou, Fotini; Marangos, Markos; Filos, Kriton S

2012-01-01

Introduction. Severe leptospirosis, also known as Weil's disease, can cause multiorgan failure with high mortality. Scoring systems for disease severity have not been validated for leptospirosis, and there is no documented method to predict mortality. Methods. This is a case series on 10 patients admitted to ICU for multiorgan failure from severe leptospirosis. Data were collected retrospectively, with approval from the Institution Ethics Committee. Results. Ten patients with severe leptospirosis were admitted in the Patras University Hospital ICU in a four-year period. Although, based on SOFA scores, predicted mortality was over 80%, seven of 10 patients survived and were discharged from the hospital in good condition. There was no association between SAPS II or SOFA scores and mortality, but survivors had significantly lower APACHE II scores compared to nonsurvivors. Conclusion. Commonly used severity scores do not seem to be useful in predicting mortality in severe leptospirosis. Early ICU admission and resuscitation based on a goal-directed therapy protocol are recommended and may reduce mortality. However, this study is limited by retrospective data collection and small sample size. Data from large prospective studies are needed to validate our findings.
Anxiety and Depressive Symptoms and Medical Illness Among Adults with Anxiety Disorders

PubMed Central

Niles, Andrea N.; Dour, Halina J.; Stanton, Annette L.; Roy-Byrne, Peter P.; Stein, Murray B.; Sullivan, Greer; Sherbourne, Cathy D.; Rose, Raphael D.; Craske, Michelle G.

2014-01-01

Objective Anxiety is linked to a number of medical conditions, yet few studies have examined how symptom severity relates to medical comorbidity. Purpose The current study assessed associations between severity of anxiety and depression and presence of medical conditions in adults diagnosed with anxiety disorders. Method Nine-hundred eighty-nine patients diagnosed with panic, generalized anxiety, social anxiety, and posttraumatic stress disorders reported on the severity of anxiety and depressive symptoms and on diagnoses of 11 medical conditions. Results Severity of anxiety and depressive symptoms was strongly associated with having more medical conditions over and above control variables, and the association was as strong as that between BMI and disease. Odds of having asthma, heart disease, back problems, ulcer, migraine headache and eyesight difficulties also increased as anxiety and depressive symptom severity increased. Anxiety symptoms were independently associated with ulcer, whereas depressive symptoms were independently associated with heart disease, migraine, and eyesight difficulties. Conclusions These findings add to a growing body of research linking anxiety disorders with physical health problems and indicate that anxiety and depressive symptoms deserve greater attention in their association with disease. PMID:25510186
Plus Disease in Retinopathy of Prematurity: Improving Diagnosis by Ranking Disease Severity and Using Quantitative Image Analysis.

PubMed

Kalpathy-Cramer, Jayashree; Campbell, J Peter; Erdogmus, Deniz; Tian, Peng; Kedarisetti, Dharanish; Moleta, Chace; Reynolds, James D; Hutcheson, Kelly; Shapiro, Michael J; Repka, Michael X; Ferrone, Philip; Drenser, Kimberly; Horowitz, Jason; Sonmez, Kemal; Swan, Ryan; Ostmo, Susan; Jonas, Karyn E; Chan, R V Paul; Chiang, Michael F

2016-11-01

To determine expert agreement on relative retinopathy of prematurity (ROP) disease severity and whether computer-based image analysis can model relative disease severity, and to propose consideration of a more continuous severity score for ROP. We developed 2 databases of clinical images of varying disease severity (100 images and 34 images) as part of the Imaging and Informatics in ROP (i-ROP) cohort study and recruited expert physician, nonexpert physician, and nonphysician graders to classify and perform pairwise comparisons on both databases. Six participating expert ROP clinician-scientists, each with a minimum of 10 years of clinical ROP experience and 5 ROP publications, and 5 image graders (3 physicians and 2 nonphysician graders) who analyzed images that were obtained during routine ROP screening in neonatal intensive care units. Images in both databases were ranked by average disease classification (classification ranking), by pairwise comparison using the Elo rating method (comparison ranking), and by correlation with the i-ROP computer-based image analysis system. Interexpert agreement (weighted κ statistic) compared with the correlation coefficient (CC) between experts on pairwise comparisons and correlation between expert rankings and computer-based image analysis modeling. There was variable interexpert agreement on diagnostic classification of disease (plus, preplus, or normal) among the 6 experts (mean weighted κ, 0.27; range, 0.06-0.63), but good correlation between experts on comparison ranking of disease severity (mean CC, 0.84; range, 0.74-0.93) on the set of 34 images. Comparison ranking provided a severity ranking that was in good agreement with ranking obtained by classification ranking (CC, 0.92). Comparison ranking on the larger dataset by both expert and nonexpert graders demonstrated good correlation (mean CC, 0.97; range, 0.95-0.98). The i-ROP system was able to model this continuous severity with good correlation (CC, 0.86). Experts diagnose plus disease on a continuum, with poor absolute agreement on classification but good relative agreement on disease severity. These results suggest that the use of pairwise rankings and a continuous severity score, such as that provided by the i-ROP system, may improve agreement on disease severity in the future. Copyright © 2016 American Academy of Ophthalmology. Published by Elsevier Inc. All rights reserved.
Combination therapeutics in complex diseases.

PubMed

He, Bing; Lu, Cheng; Zheng, Guang; He, Xiaojuan; Wang, Maolin; Chen, Gao; Zhang, Ge; Lu, Aiping

2016-12-01

The biological redundancies in molecular networks of complex diseases limit the efficacy of many single drug therapies. Combination therapeutics, as a common therapeutic method, involve pharmacological intervention using several drugs that interact with multiple targets in the molecular networks of diseases and may achieve better efficacy and/or less toxicity than monotherapy in practice. The development of combination therapeutics is complicated by several critical issues, including identifying multiple targets, targeting strategies and the drug combination. This review summarizes the current achievements in combination therapeutics, with a particular emphasis on the efforts to develop combination therapeutics for complex diseases. © 2016 The Authors. Journal of Cellular and Molecular Medicine published by John Wiley & Sons Ltd and Foundation for Cellular and Molecular Medicine.
Systematic drug repositioning for a wide range of diseases with integrative analyses of phenotypic and molecular data.

PubMed

Iwata, Hiroaki; Sawada, Ryusuke; Mizutani, Sayaka; Yamanishi, Yoshihiro

2015-02-23

Drug repositioning, or the application of known drugs to new indications, is a challenging issue in pharmaceutical science. In this study, we developed a new computational method to predict unknown drug indications for systematic drug repositioning in a framework of supervised network inference. We defined a descriptor for each drug-disease pair based on the phenotypic features of drugs (e.g., medicinal effects and side effects) and various molecular features of diseases (e.g., disease-causing genes, diagnostic markers, disease-related pathways, and environmental factors) and constructed a statistical model to predict new drug-disease associations for a wide range of diseases in the International Classification of Diseases. Our results show that the proposed method outperforms previous methods in terms of accuracy and applicability, and its performance does not depend on drug chemical structure similarity. Finally, we performed a comprehensive prediction of a drug-disease association network consisting of 2349 drugs and 858 diseases and described biologically meaningful examples of newly predicted drug indications for several types of cancers and nonhereditary diseases.
Advances in environmental and occupational respiratory diseases in 2009.

PubMed

Peden, David B; Bush, Robert K

2010-03-01

The year 2009 led to a number of significant advances in environmental and occupational allergic diseases. The role of exposure to environmental pollutants, respiratory viruses, and allergen exposure showed significant advances. New allergens were identified. Occupational asthma and the relationship of complementary and alternative medicine to allergic diseases were extensively reviewed. New approaches to immunotherapy, novel vaccine techniques, and methods to reduce risks for severe allergic disease were addressed.
Hepatitis Diagnosis Using Facial Color Image

NASA Astrophysics Data System (ADS)

Liu, Mingjia; Guo, Zhenhua

Facial color diagnosis is an important diagnostic method in traditional Chinese medicine (TCM). However, due to its qualitative, subjective and experi-ence-based nature, traditional facial color diagnosis has a very limited application in clinical medicine. To circumvent the subjective and qualitative problems of facial color diagnosis of Traditional Chinese Medicine, in this paper, we present a novel computer aided facial color diagnosis method (CAFCDM). The method has three parts: face Image Database, Image Preprocessing Module and Diagnosis Engine. Face Image Database is carried out on a group of 116 patients affected by 2 kinds of liver diseases and 29 healthy volunteers. The quantitative color feature is extracted from facial images by using popular digital image processing techni-ques. Then, KNN classifier is employed to model the relationship between the quantitative color feature and diseases. The results show that the method can properly identify three groups: healthy, severe hepatitis with jaundice and severe hepatitis without jaundice with accuracy higher than 73%.
[From chronic disease to multimorbidity: Which impact on organization of health care].

PubMed

Belche, Jean-Luc; Berrewaerts, Marie-Astrid; Ketterer, Frédéric; Henrard, Gilles; Vanmeerbeek, Marc; Giet, Didier

2015-11-01

Healthcare systems are concerned with the growing prevalence of chronic diseases. Single disease approach, based on the Chronic Care Model, is known to improve specific indicators for the targeted disease. However, the co-existence of several chronic disease, or multimorbidity, within a same patient is the most frequent situation. The fragmentation of care, as consequence of the single disease approach, has negative impact on the patient and healthcare professionals. A person centred approach is a method addressing the combination of health issues of each patient. The coordination and synthesis role is key to ensure continuity of care for the patient within a network of healthcare professionals from several settings of care. This function is the main characteristic of an organized first level of care. Copyright © 2015 Elsevier Masson SAS. All rights reserved.
Vocal symptoms in Parkinson disease treated with levodopa. A case report.

PubMed

Schley, W S; Fenton, E; Niimi, S

1982-01-01

This is a report of a patient with unusually severe hoarseness in the absence of vocal fold pathology demonstrating Parkinson disease as one of the neurological diseases in which vocal symptoms occur. Although it is classifiably a severe, progressive, degenerative disorder, the popularity of pharmacotherapy for Parkinson disease during the past decade has resulted in improved functionality for an undetermined course of time in most patients. The classically described deterioration of speech ad voice may develop in a variant manner difficult to distinguish as disease-related, as this case report illustrates. An explanation of the hoarseness based on dyssynchronous vocal fold motion related to the disease is suggested by the acoustic methods (spectrography, waveform analysis) used in this study, and supported by strobe light laryngoscopy. This conclusion is important because of the extremely high incidences of varying degrees of hoarseness reported in recent studies of Parkinson disease.
Hyperbaric oxygen treatment for Parkinson's disease with severe depression and anxiety: A case report.

PubMed

Xu, Jin-Jin; Yang, Si-Tong; Sha, Ying; Ge, Yuan-Yuan; Wang, Jian-Meng

2018-03-01

Patients with Parkinson's disease (PD) frequently suffer from psychiatric disorders, and treating these symptom whereas managing the motor symptoms associated with PD can be a therapeutic challenge. We report a case of PD patient with severe depression and anxiety that refused to be treated with dopaminagonists or SSRIs, the most common treatments for PD patients suffering from psychiatric symptoms. Parkinson's disease with severe depression and anxiety. This man was treated with hyperbaric oxygen treatment for 30 days. Clinical assessment scores for depression and anxiety, including Unified Parkinson's Disease Rating ScaleI (UPDRS I), UPDRS II, Hanmilton Depression Rating Scale, and Hamiliton Anxiety Rating Scale, were improved following the hyperbaric oxygen treatment. Hyperbaric oxygen treatment may be a potential therapeutic method for PD patient suffering from depression and anxiety. Further research is needed to validate this finding and explore a potential mechanism.
Dry Eye Disease Incidence Associated with Chronic Graft-Host Disease: Nonconcurrent Cohort Study (An American Ophthalmological Society Thesis)

PubMed Central

Mian, Shahzad I.; De la Parra-Colín, Paola; De Melo-Franco, Rafael; Johnson, Christopher; Barrientos-Gutierrez, Tonatiuh

2015-01-01

Purpose: To determine if chronic graft-versus-host disease (cGVHD) after allogeneic hematopoietic stem cell transplantation (HSCT) is associated with stable or progressive dry eye disease and to determine the true incidence in patients with no prior history of dry eye disease. Methods: A nonconcurrent cohort study at a single institution with 136 patients who had no previous history of dry eye disease before HSCT. Survival analysis was used to estimate dry eye disease incidence. The incidence rate was calculated using life tables as the number of observed dry eye disease cases divided by the person-time at risk accumulated by the cohort. Transition probabilities were calculated from time of transplant to time of diagnosis, and then to last recorded visit. Results: Incidence rate was 0.8 cases of dry eye disease per person-year, and half of the population at risk developed dry eye disease during the first 10 months post transplant. Time to develop dry eye disease was 2.5 months for mild dry eye disease, 9.6 months for moderate dry eye disease, and 13.2 months for severe dry eye disease. In terms of cumulative incidence, 73% of subjects developed dry eye disease (50% mild, 16% moderate, and 7% severe) at the time of diagnosis. Conclusions: Our findings suggest that dry eye disease associated with cGVHD is an extremely frequent event and shows a wide spectrum of severity, with a mild form presenting early and a moderate to severe form presenting later after HSCT. These findings need to be studied further to elucidate if these are two different pathophysiological entities or just different expressions of the same pathology. PMID:27507907
Network-based prediction and knowledge mining of disease genes.

PubMed

Carson, Matthew B; Lu, Hui

2015-01-01

In recent years, high-throughput protein interaction identification methods have generated a large amount of data. When combined with the results from other in vivo and in vitro experiments, a complex set of relationships between biological molecules emerges. The growing popularity of network analysis and data mining has allowed researchers to recognize indirect connections between these molecules. Due to the interdependent nature of network entities, evaluating proteins in this context can reveal relationships that may not otherwise be evident. We examined the human protein interaction network as it relates to human illness using the Disease Ontology. After calculating several topological metrics, we trained an alternating decision tree (ADTree) classifier to identify disease-associated proteins. Using a bootstrapping method, we created a tree to highlight conserved characteristics shared by many of these proteins. Subsequently, we reviewed a set of non-disease-associated proteins that were misclassified by the algorithm with high confidence and searched for evidence of a disease relationship. Our classifier was able to predict disease-related genes with 79% area under the receiver operating characteristic (ROC) curve (AUC), which indicates the tradeoff between sensitivity and specificity and is a good predictor of how a classifier will perform on future data sets. We found that a combination of several network characteristics including degree centrality, disease neighbor ratio, eccentricity, and neighborhood connectivity help to distinguish between disease- and non-disease-related proteins. Furthermore, the ADTree allowed us to understand which combinations of strongly predictive attributes contributed most to protein-disease classification. In our post-processing evaluation, we found several examples of potential novel disease-related proteins and corresponding literature evidence. In addition, we showed that first- and second-order neighbors in the PPI network could be used to identify likely disease associations. We analyzed the human protein interaction network and its relationship to disease and found that both the number of interactions with other proteins and the disease relationship of neighboring proteins helped to determine whether a protein had a relationship to disease. Our classifier predicted many proteins with no annotated disease association to be disease-related, which indicated that these proteins have network characteristics that are similar to disease-related proteins and may therefore have disease associations not previously identified. By performing a post-processing step after the prediction, we were able to identify evidence in literature supporting this possibility. This method could provide a useful filter for experimentalists searching for new candidate protein targets for drug repositioning and could also be extended to include other network and data types in order to refine these predictions.
Dupuytren disease: on our way to a cure?

PubMed

Degreef, Ilse; De Smet, Luc

2013-06-01

Despite its high prevalence, the clinical presentation and severity of Dupuytren disease is extremely variable. The disease features a broad spectrum of symptoms, from simple nodules without the slightest clinical impact towards an extremely disabling form requiring multiple surgical procedures, sometimes even partial hand amputations. Recurrence after surgery is considered a failure for both patient and surgeon, but its definition is vague. The term 'recontracture' was coined by a patient and reflects the disappointment of recurrent disease. Wether or not a treatment option will insure a definite result, may depend more on the severity of the disease, which is patient specific, than on the treatment method itself. If a patient presents with Dupuytren disease, one should not merely evaluate his hands. Different clinical and personal history features may uncover a severe fibrosis diathesis and both correct information to the patient and an individualized treatment plan are needed. In the near future, a simple genetic test may help to identify patients at risk. Similar to the evolving knowledge and treatment modalities seen in rheumatoid arthritis, treatment of Dupuytren disease is likely to advance in the direction of disease control with pharmacotherapy and single shot minimal invasive enzymatic fasciotomy with collagenase to correct established contractures.
Plant Disease Severity Assessment-How Rater Bias, Assessment Method, and Experimental Design Affect Hypothesis Testing and Resource Use Efficiency.

PubMed

Chiang, Kuo-Szu; Bock, Clive H; Lee, I-Hsuan; El Jarroudi, Moussa; Delfosse, Philippe

2016-12-01

The effect of rater bias and assessment method on hypothesis testing was studied for representative experimental designs for plant disease assessment using balanced and unbalanced data sets. Data sets with the same number of replicate estimates for each of two treatments are termed "balanced" and those with unequal numbers of replicate estimates are termed "unbalanced". The three assessment methods considered were nearest percent estimates (NPEs), an amended 10% incremental scale, and the Horsfall-Barratt (H-B) scale. Estimates of severity of Septoria leaf blotch on leaves of winter wheat were used to develop distributions for a simulation model. The experimental designs are presented here in the context of simulation experiments which consider the optimal design for the number of specimens (individual units sampled) and the number of replicate estimates per specimen for a fixed total number of observations (total sample size for the treatments being compared). The criterion used to gauge each method was the power of the hypothesis test. As expected, at a given fixed number of observations, the balanced experimental designs invariably resulted in a higher power compared with the unbalanced designs at different disease severity means, mean differences, and variances. Based on these results, with unbiased estimates using NPE, the recommended number of replicate estimates taken per specimen is 2 (from a sample of specimens of at least 30), because this conserves resources. Furthermore, for biased estimates, an apparent difference in the power of the hypothesis test was observed between assessment methods and between experimental designs. Results indicated that, regardless of experimental design or rater bias, an amended 10% incremental scale has slightly less power compared with NPEs, and that the H-B scale is more likely than the others to cause a type II error. These results suggest that choice of assessment method, optimizing sample number and number of replicate estimates, and using a balanced experimental design are important criteria to consider to maximize the power of hypothesis tests for comparing treatments using disease severity estimates.
Assessing disease stress and modeling yield losses in alfalfa

NASA Astrophysics Data System (ADS)

Guan, Jie

Alfalfa is the most important forage crop in the U.S. and worldwide. Fungal foliar diseases are believed to cause significant yield losses in alfalfa, yet, little quantitative information exists regarding the amount of crop loss. Different fungicides and application frequencies were used as tools to generate a range of foliar disease intensities in Ames and Nashua, IA. Visual disease assessments (disease incidence, disease severity, and percentage defoliation) were obtained weekly for each alfalfa growth cycle (two to three growing cycles per season). Remote sensing assessments were performed using a hand-held, multispectral radiometer to measure the amount and quality of sunlight reflected from alfalfa canopies. Factors such as incident radiation, sun angle, sensor height, and leaf wetness were all found to significantly affect the percentage reflectance of sunlight reflected from alfalfa canopies. The precision of visual and remote sensing assessment methods was quantified. Precision was defined as the intra-rater repeatability and inter-rater reliability of assessment methods. F-tests, slopes, intercepts, and coefficients of determination (R2) were used to compare assessment methods for precision. Results showed that among the three visual disease assessment methods (disease incidence, disease severity, and percentage defoliation), percentage defoliation had the highest intra-rater repeatability and inter-rater reliability. Remote sensing assessment method had better precision than the percentage defoliation assessment method based upon higher intra-rater repeatability and inter-rater reliability. Significant linear relationships between canopy reflectance (810 nm), percentage defoliation and yield were detected using linear regression and percentage reflectance (810 nm) assessments were found to have a stronger relationship with yield than percentage defoliation assessments. There were also significant linear relationships between percentage defoliation, dry weight, percentage reflectance (810 nm), and green leaf area index (GLAI). Percentage reflectance (810 nm) assessments had a stronger relationship with dry weight and green leaf area index than percentage defoliation assessments. Our research conclusively demonstrates that percentage reflectance measurements can be used to nondestructively assess green leaf area index which is a direct measure of plant health and an indirect measure of productivity. This research conclusively demonstrates that remote sensing is superior to visual assessment method to assess alfalfa stress and to model yield and GLAI in the alfalfa foliar disease pathosystem.
Multimodal Neuroimaging: Basic Concepts and Classification of Neuropsychiatric Diseases.

PubMed

Tulay, Emine Elif; Metin, Barış; Tarhan, Nevzat; Arıkan, Mehmet Kemal

2018-06-01

Neuroimaging techniques are widely used in neuroscience to visualize neural activity, to improve our understanding of brain mechanisms, and to identify biomarkers-especially for psychiatric diseases; however, each neuroimaging technique has several limitations. These limitations led to the development of multimodal neuroimaging (MN), which combines data obtained from multiple neuroimaging techniques, such as electroencephalography, functional magnetic resonance imaging, and yields more detailed information about brain dynamics. There are several types of MN, including visual inspection, data integration, and data fusion. This literature review aimed to provide a brief summary and basic information about MN techniques (data fusion approaches in particular) and classification approaches. Data fusion approaches are generally categorized as asymmetric and symmetric. The present review focused exclusively on studies based on symmetric data fusion methods (data-driven methods), such as independent component analysis and principal component analysis. Machine learning techniques have recently been introduced for use in identifying diseases and biomarkers of disease. The machine learning technique most widely used by neuroscientists is classification-especially support vector machine classification. Several studies differentiated patients with psychiatric diseases and healthy controls with using combined datasets. The common conclusion among these studies is that the prediction of diseases increases when combining data via MN techniques; however, there remain a few challenges associated with MN, such as sample size. Perhaps in the future N-way fusion can be used to combine multiple neuroimaging techniques or nonimaging predictors (eg, cognitive ability) to overcome the limitations of MN.
Foreign animal disease outbreaks, the animal welfare implications for Canada: Risks apparent from international experience

PubMed Central

Whiting, Terry L.

2003-01-01

Any outbreak of an Office International des Épizooties List A disease, such as classical swine fever or foot and mouth disease, has severe consequences for animal welfare, livestock production, exports of animals and animal products, and the environment. The public concern with the animal welfare effects of methods of disease eradication that result in the destruction of large numbers of uninfected animals has initiated a reconsideration of disease eradication policy in Europe. In many recent List A disease epizootics, the financial cost of addressing animal welfare concerns in healthy animals has greatly exceeded the cost of stamping out disease in infected herds. In the event of a similar incursion in Canada, the number of animals subject to welfare slaughter will be far greater than the number of infected animals killed. Current national disease eradication plans in Canada do not address the animal welfare component of disease control methods. PMID:14601676
Parkinson's disease candidate gene prioritization based on expression profile of midbrain dopaminergic neurons

PubMed Central

2010-01-01

Background Parkinson's disease is the second most common neurodegenerative disorder. The pathological hallmark of the disease is degeneration of midbrain dopaminergic neurons. Genetic association studies have linked 13 human chromosomal loci to Parkinson's disease. Identification of gene(s), as part of the etiology of Parkinson's disease, within the large number of genes residing in these loci can be achieved through several approaches, including screening methods, and considering appropriate criteria. Since several of the indentified Parkinson's disease genes are expressed in substantia nigra pars compact of the midbrain, expression within the neurons of this area could be a suitable criterion to limit the number of candidates and identify PD genes. Methods In this work we have used the combination of findings from six rodent transcriptome analysis studies on the gene expression profile of midbrain dopaminergic neurons and the PARK loci in OMIM (Online Mendelian Inheritance in Man) database, to identify new candidate genes for Parkinson's disease. Results Merging the two datasets, we identified 20 genes within PARK loci, 7 of which are located in an orphan Parkinson's disease locus and one, which had been identified as a disease gene. In addition to identifying a set of candidates for further genetic association studies, these results show that the criteria of expression in midbrain dopaminergic neurons may be used to narrow down the number of genes in PARK loci for such studies. PMID:20716345
Evaluation of Penalized and Nonpenalized Methods for Disease Prediction with Large-Scale Genetic Data.

PubMed

Won, Sungho; Choi, Hosik; Park, Suyeon; Lee, Juyoung; Park, Changyi; Kwon, Sunghoon

2015-01-01

Owing to recent improvement of genotyping technology, large-scale genetic data can be utilized to identify disease susceptibility loci and this successful finding has substantially improved our understanding of complex diseases. However, in spite of these successes, most of the genetic effects for many complex diseases were found to be very small, which have been a big hurdle to build disease prediction model. Recently, many statistical methods based on penalized regressions have been proposed to tackle the so-called "large P and small N" problem. Penalized regressions including least absolute selection and shrinkage operator (LASSO) and ridge regression limit the space of parameters, and this constraint enables the estimation of effects for very large number of SNPs. Various extensions have been suggested, and, in this report, we compare their accuracy by applying them to several complex diseases. Our results show that penalized regressions are usually robust and provide better accuracy than the existing methods for at least diseases under consideration.

Dynamic Measurement of Disease Activity in Acute Pancreatitis: The Pancreatitis Activity Scoring System

PubMed Central

Wu, Bechien U.; Batech, Michael; Quezada, Michael; Lew, Daniel; Fujikawa, Kelly; Kung, Jonathan; Jamil, Laith H.; Chen, Wansu; Afghani, Elham; Reicher, Sonya; Buxbaum, James; Pandol, Stephen J.

2017-01-01

OBJECTIVES Acute pancreatitis has a highly variable course. Currently there is no widely accepted method to measure disease activity in patients hospitalized for acute pancreatitis. We aimed to develop a clinical activity index that incorporates routine clinical parameters to assist in the measurement, study, and management of acute pancreatitis. METHODS We used the UCLA/RAND appropriateness method to identify items for inclusion in the disease activity instrument. We conducted a systematic literature review followed by two sets of iterative modified Delphi meetings including a panel of international experts between November 2014 and November 2015. The final instrument was then applied to patient data obtained from five separate study cohorts across Southern California to assess profiles of disease activity. RESULTS From a list of 35 items comprising 6 domains, we identified 5 parameters for inclusion in the final weighted clinical activity scoring system: organ failure, systemic inflammatory response syndrome, abdominal pain, requirement for opiates and ability to tolerate oral intake. We applied the weighted scoring system across the 5 study cohorts comprising 3,123 patients. We identified several distinct patterns of disease activity: (i) overall there was an elevated score at baseline relative to discharge across all study cohorts, (ii) there were distinct patterns of disease activity related to duration of illness as well as (iii) early and persistent elevation of disease activity among patients with severe acute pancreatitis defined as persistent organ failure. CONCLUSIONS We present the development and initial validation of a clinical activity score for real-time assessment of disease activity in patients with acute pancreatitis. PMID:28462914
Progression of Tricuspid Regurgitation after Mitral Valve Replacement for Rheumatic Heart Disease.

PubMed

Q Tri, Ho H; Vinh, Pham N

2017-05-01

Progression of tricuspid regurgitation (TR) may occur after mitral valve replacement (MVR). The study aim was to define the independent predictors for new severe TR after MVR to treat rheumatic heart disease. A total of 413 patients (177 men, 236 women; mean age 40.9 ± 9.2 years) with rheumatic heart disease undergoing MVR without concomitant tricuspid valve repair at the authors' institute between 1995 and 2005, who did not have preoperative severe TR, were followed for at least one year postoperatively. Survival without severe TR was estimated using the Kaplan-Meier method. Independent predictors for new severe TR were identified using multiple Cox regression analysis. During a median follow up of 13 years there were two late deaths, and 46 patients (11.1%) had new severe TR. Survival without severe TR was 88.0 ± 1.7% at 10 years. Independent predictors for new severe TR were preoperative moderate TR (HR 2.401; p = 0.008) and atrial fibrillation (AF) (HR 2.119; p = 0.018). At the most recent follow up, furosemide was used in 23.9% patients with and 7.3% patients without new severe TR (p = 0.001). Patients with new severe TR had larger right ventricles and higher pulmonary artery pressures on echocardiography. Among patients with rheumatic heart disease undergoing MVR without concomitant tricuspid valve repair, independent predictors for new severe TR were preoperative moderate TR and AF. New severe TR was associated with increased furosemide use.
The Quality of Life and Depressive Mood among Korean Patients with Hand Eczema

PubMed Central

Yu, Mi; Lee, June Hyunkyung; Son, Sook-Ja

2012-01-01

Background Hand eczema is a disease frequently observed in dermatological practice. This condition has negative emotional, social, and psychological effects due to its impact on daily life and morphological appearance. Due to its considerable effect on the quality of life, this disease can lead to depression. However, not many studies have been performed on the quality of life and depression in hand eczema patients. Objective The purpose of this study is to investigate the association between the quality of life, depression, and disease severity in hand eczema patients in South Korea. Methods A total of 138 patients with hand eczema participated in this study. The patients' quality of life was assessed by a self-administered questionnaire using the Dermatology Life Quality Index (DLQI). Data on patients suffering from depression was obtained using the Beck's Depression Inventory (BDI-II). The disease severity was determined during the clinical examination, according to the Hand Eczema Severity Index (HECSI). Results We found positive associations between DLQI and HECSI scores (p<0.05). BDI-II scores had also statistically positive correlations with HECSI scores (p<0.05). DLQI and BDI-II scores both increased with disease severity. Conclusion Hand eczema negatively affected the quality of life and mood of patients relative to the disease severity. Therefore, we suggest that quality of life modification and emotional support should be included as a part of treatment for hand eczema. PMID:23197909
Guideline of transthyretin-related hereditary amyloidosis for clinicians

PubMed Central

2013-01-01

Transthyretin amyloidosis is a progressive and eventually fatal disease primarily characterized by sensory, motor, and autonomic neuropathy and/or cardiomyopathy. Given its phenotypic unpredictability and variability, transthyretin amyloidosis can be difficult to recognize and manage. Misdiagnosis is common, and patients may wait several years before accurate diagnosis, risking additional significant irreversible deterioration. This article aims to help physicians better understand transthyretin amyloidosis—and, specifically, familial amyloidotic polyneuropathy—so they can recognize and manage the disease more easily and discuss it with their patients. We provide guidance on making a definitive diagnosis, explain methods for disease staging and evaluation of disease progression, and discuss symptom mitigation and treatment strategies, including liver transplant and several pharmacotherapies that have shown promise in clinical trials. PMID:23425518
Environmentally-driven ensemble forecasts of dengue fever

NASA Astrophysics Data System (ADS)

Yamana, T. K.; Shaman, J. L.

2017-12-01

Dengue fever is a mosquito-borne viral disease prevalent in the tropics and subtropics, with an estimated 2.5 billion people at risk of transmission. In many areas where dengue is found, disease transmission is seasonal but prone to high inter-annual variability with occasional severe epidemics. Predicting and preparing for periods of higher than average transmission remains a significant public health challenge. Recently, we developed a framework for forecasting dengue incidence using an dynamical model of disease transmission coupled with observational data of dengue cases using data-assimilation methods. Here, we investigate the use of environmental data to drive the disease transmission model. We produce retrospective forecasts of the timing and severity of dengue outbreaks, and quantify forecast predictive accuracy.
Birth month affects lifetime disease risk: a phenome-wide method

PubMed Central

Boland, Mary Regina; Shahn, Zachary; Madigan, David; Hripcsak, George; Tatonetti, Nicholas P

2015-01-01

Objective An individual’s birth month has a significant impact on the diseases they develop during their lifetime. Previous studies reveal relationships between birth month and several diseases including atherothrombosis, asthma, attention deficit hyperactivity disorder, and myopia, leaving most diseases completely unexplored. This retrospective population study systematically explores the relationship between seasonal affects at birth and lifetime disease risk for 1688 conditions. Methods We developed a hypothesis-free method that minimizes publication and disease selection biases by systematically investigating disease-birth month patterns across all conditions. Our dataset includes 1 749 400 individuals with records at New York-Presbyterian/Columbia University Medical Center born between 1900 and 2000 inclusive. We modeled associations between birth month and 1688 diseases using logistic regression. Significance was tested using a chi-squared test with multiplicity correction. Results We found 55 diseases that were significantly dependent on birth month. Of these 19 were previously reported in the literature (P < .001), 20 were for conditions with close relationships to those reported, and 16 were previously unreported. We found distinct incidence patterns across disease categories. Conclusions Lifetime disease risk is affected by birth month. Seasonally dependent early developmental mechanisms may play a role in increasing lifetime risk of disease. PMID:26041386
Antibacterial activity of plant defensins against alfalfa crown rot pathogens

USDA-ARS?s Scientific Manuscript database

Alfalfa (Medicago sativa) is the fourth most widely grown crop in the United States. Alfalfa crown rot is a disease complex that severely decreases alfalfa stand density and productivity in all alfalfa-producing areas. Currently, there are no viable methods of disease control. Plant defensins are sm...
Granulo-monocyto apheresis is more effective in mild ulcerative colitis than in moderate to severe disease

PubMed Central

De Cassan, Chiara; Savarino, Edoardo; Marson, Piero; Tison, Tiziana; Hatem, Giorgia; Sturniolo, Giacomo Carlo; D’Incà, Renata

2014-01-01

AIM: To evaluate whether the effectiveness of Granulo-monocyto apheresis (GMA), a technique that consists of the extracorporeal removal of granulocytes and monocytes from the peripheral blood, might vary according to the severity of ulcerative colitis (UC) in patients with mild to moderate-severe disease UC activity. METHODS: We retrospectively reviewed prospectively collected data of patients undergoing GMA at our inflammatory bowel disease centre who had at least a 6 mo of follow-up. The demographics, clinical and laboratory data were extracted from the patients’ charts and electronic records. The severity of UC was scored according to the Modified Truelove Witts Severity Index (MTWSI). A clinical response was defined as a decrease from baseline of ≥ 2 points or a value of MTWSI ≤ 2 points. RESULTS: A total of 41 (24 males/17 females; mean age 47 years) patients were included in the study. After GMA cycle completion, 21/28 (75%) of mild UC patients showed a clinical response compared with 7/13 (54%) of patients with moderate to severe disease (P = 0.27). At 6-mo, 14/28 (50%) of the mild UC patients maintained a clinical response compared with 2/13 (15%) of the patients with moderate to severe disease (P = 0.04). After the GMA cycle completion and during the 6-mo follow up period, 13/16 (81%) and 9/16 (56%) of mild UC patients with intolerance, resistance and contraindications to immunosuppressants and/or biologics showed a clinical response compared with 2/6 (33%) and 0/6 (0%) of patients with moderate to severe disease activity with these characteristics (P = 0.05 and P = 0.04, respectively). CONCLUSION: Patients with mild UC benefit from GMA more than patients with moderate to severe disease in the short-term period. GMA should be considered a valid therapeutic option in cases of contraindications to immunosuppressants, corticosteroids and/or biologics. PMID:25493030
Discrimination of inflammatory bowel disease using Raman spectroscopy and linear discriminant analysis methods

NASA Astrophysics Data System (ADS)

Ding, Hao; Cao, Ming; DuPont, Andrew W.; Scott, Larry D.; Guha, Sushovan; Singhal, Shashideep; Younes, Mamoun; Pence, Isaac; Herline, Alan; Schwartz, David; Xu, Hua; Mahadevan-Jansen, Anita; Bi, Xiaohong

2016-03-01

Inflammatory bowel disease (IBD) is an idiopathic disease that is typically characterized by chronic inflammation of the gastrointestinal tract. Recently much effort has been devoted to the development of novel diagnostic tools that can assist physicians for fast, accurate, and automated diagnosis of the disease. Previous research based on Raman spectroscopy has shown promising results in differentiating IBD patients from normal screening cases. In the current study, we examined IBD patients in vivo through a colonoscope-coupled Raman system. Optical diagnosis for IBD discrimination was conducted based on full-range spectra using multivariate statistical methods. Further, we incorporated several feature selection methods in machine learning into the classification model. The diagnostic performance for disease differentiation was significantly improved after feature selection. Our results showed that improved IBD diagnosis can be achieved using Raman spectroscopy in combination with multivariate analysis and feature selection.
Prioritization of orphan disease-causing genes using topological feature and GO similarity between proteins in interaction networks.

PubMed

Li, Min; Li, Qi; Ganegoda, Gamage Upeksha; Wang, JianXin; Wu, FangXiang; Pan, Yi

2014-11-01

Identification of disease-causing genes among a large number of candidates is a fundamental challenge in human disease studies. However, it is still time-consuming and laborious to determine the real disease-causing genes by biological experiments. With the advances of the high-throughput techniques, a large number of protein-protein interactions have been produced. Therefore, to address this issue, several methods based on protein interaction network have been proposed. In this paper, we propose a shortest path-based algorithm, named SPranker, to prioritize disease-causing genes in protein interaction networks. Considering the fact that diseases with similar phenotypes are generally caused by functionally related genes, we further propose an improved algorithm SPGOranker by integrating the semantic similarity of GO annotations. SPGOranker not only considers the topological similarity between protein pairs in a protein interaction network but also takes their functional similarity into account. The proposed algorithms SPranker and SPGOranker were applied to 1598 known orphan disease-causing genes from 172 orphan diseases and compared with three state-of-the-art approaches, ICN, VS and RWR. The experimental results show that SPranker and SPGOranker outperform ICN, VS, and RWR for the prioritization of orphan disease-causing genes. Importantly, for the case study of severe combined immunodeficiency, SPranker and SPGOranker predict several novel causal genes.
Identifying Degenerative Brain Disease Using Rough Set Classifier Based on Wavelet Packet Method.

PubMed

Cheng, Ching-Hsue; Liu, Wei-Xiang

2018-05-28

Population aging has become a worldwide phenomenon, which causes many serious problems. The medical issues related to degenerative brain disease have gradually become a concern. Magnetic Resonance Imaging is one of the most advanced methods for medical imaging and is especially suitable for brain scans. From the literature, although the automatic segmentation method is less laborious and time-consuming, it is restricted in several specific types of images. In addition, hybrid techniques segmentation improves the shortcomings of the single segmentation method. Therefore, this study proposed a hybrid segmentation combined with rough set classifier and wavelet packet method to identify degenerative brain disease. The proposed method is a three-stage image process method to enhance accuracy of brain disease classification. In the first stage, this study used the proposed hybrid segmentation algorithms to segment the brain ROI (region of interest). In the second stage, wavelet packet was used to conduct the image decomposition and calculate the feature values. In the final stage, the rough set classifier was utilized to identify the degenerative brain disease. In verification and comparison, two experiments were employed to verify the effectiveness of the proposed method and compare with the TV-seg (total variation segmentation) algorithm, Discrete Cosine Transform, and the listing classifiers. Overall, the results indicated that the proposed method outperforms the listing methods.
Nairobi sheep disease virus/Ganjam virus.

PubMed

M D, Baron; B, Holzer

2015-08-01

Nairobi sheep disease virus (NSDV) is a tick-borne virus which causes a severe disease in sheep and goats, and has been responsible for several outbreaks of disease in East Africa. The virus is also found in the Indian subcontinent, where it is known as Ganjam virus. The virus only spreads through the feeding of competent infected ticks, and is therefore limited in its geographic distribution by the distribution of those ticks, Rhipicephalus appendiculata in Africa and Haemaphysalis intermedia in India. Animals bred in endemic areas do not normally develop disease, and the impact is therefore primarily on animals being moved for trade or breeding purposes. The disease caused by NSDV has similarities to several other ruminant diseases, and laboratory diagnosis is necessary for confirmation. There are published methods for diagnosis based on polymerase chain reaction, for virus growth in cell culture and for other simple diagnostic tests, though none has been commercialised. There is no established vaccine against NSDV, although cell-culture attenuated strains have been developed which show promise and could be put into field trials if it were deemed necessary. The virus is closely related to Crimean-Congo haemorrhagic fever virus, and studies on NSDV may therefore be useful in understanding this important human pathogen.
Liver Cirrhosis: Evaluation, Nutritional Status, and Prognosis

PubMed Central

Nishikawa, Hiroki; Osaki, Yukio

2015-01-01

The liver is the major organ for the metabolism of three major nutrients: protein, fat, and carbohydrate. Chronic hepatitis C virus infection is the major cause of chronic liver disease. Liver cirrhosis (LC) results from different mechanisms of liver injury that lead to necroinflammation and fibrosis. LC has been seen to be not a single disease entity but one that can be graded into distinct clinical stages related to clinical outcome. Several noninvasive methods have been developed for assessing liver fibrosis and these methods have been used for predicting prognosis in patients with LC. On the other hand, subjects with LC often have protein-energy malnutrition (PEM) and poor physical activity. These conditions often result in sarcopenia, which is the loss of skeletal muscle volume and increased muscle weakness. Recent studies have demonstrated that PEM and sarcopenia are predictive factors for poorer survival in patients with LC. Based on these backgrounds, several methods for evaluating nutritional status in patients with chronic liver disease have been developed and they have been preferably used in the clinical field practice. In this review, we will summarize the current knowledge in the field of LC from the viewpoints of diagnostic method, nutritional status, and clinical outcomes. PMID:26494949
A Scoring System to Predict the Severity of Hirschsprung Disease at Diagnosis and Its Correlation With Molecular Genetics.

PubMed

Núñez-Ramos, Raquel; Fernández, Raquel M; González-Velasco, Miguel; Ruiz-Contreras, Jesús; Galán-Gómez, Enrique; Núñez-Núñez, Ramón; Borrego, Salud

2017-01-01

Objectives Hirschsprung disease (HSCR) has a wide range of severity. There are nonsevere forms treated conservatively until surgery and severe forms that require an early stoma and prolonged hospitalization. Our objective was to establish a clinical scoring system to predict the severity of HSCR and to evaluate the possible existence of a clinical-genetic correlation. Methods We carried out a retrospective observational study including all HSCR cases treated in our hospital. The sample was divided into severe and nonsevere disease according to the number of surgical procedures, hospitalization time, and episodes of enterocolitis. The proposed score was applied at diagnosis, and the sensitivity, specificity, and optimal cut-point were determined. We conducted a prospective molecular study of RET, EDNRB, and EDN3 on all patients, as well as SOX10 in Waardenburg Syndrome type 4 forms. Results Among the 42 patients treated between 1983 and 2013, 15 met the severe disease criteria. This group had a higher mean score (13.15 ± 2.36) than the nonsevere group (8.15 ± 2.13; p < 0.001). A score ≥11 had a sensitivity of 87% and a specificity of 81% in detecting the severe cases. Causative mutations were identified in 12 patients, 8 of them in the severe group ( p = 0.015). Most of these mutations (75%) were located in the RET proto-oncogene. Conclusion The proposed scoring system enables the early selection of patients with severe behavior of HSCR. A value ≥11 showed good sensitivity and specificity for this purpose. Causative mutations were identified in more than 50% of patients who met the criteria for severe disease.
Diagnosis of Hirschsprung's disease with particular emphasis on histopathology. A systematic review of current literature

PubMed Central

Szylberg, Łukasz

2014-01-01

Hirschsprung's disease (HD) is a disorder that involves several medical specialties such as paediatric gastroenterology, paediatric surgery, and pathology. Hirschsprung's disease is a congenital bowel innervation disorder characterised by the absence of ganglion cells in myenteric (Auerbach) and submucosal (Meissner) plexus in the distal colon in its classical form. Rapid and accurate diagnosis of HD is a key element in further treatment patterns. The efficiency of different diagnostic methods used in HD patients may vary. Using one limited diagnostic procedure can lead to as much as a few per cent of overlooked cases. In recent years, rectal biopsy was recognised as an important diagnostic tool that allows for a definitive HD diagnosis with an accuracy of 95% of cases. A correct diagnosis depends on the localisation of the biopsied sample, its representativeness, the number of specimens, and proper interpretation of microscopic studies supported by histochemical and immunohistochemical methods. When several methods are used and all diagnostic criteria are used, the diagnostic sensitivity can almost eliminate cases of undiagnosed patients. PMID:25395999
Methods to isolate extracellular vesicles for diagnosis

NASA Astrophysics Data System (ADS)

Kang, Hyejin; Kim, Jiyoon; Park, Jaesung

2017-12-01

Extracellular vesicles (EVs) are small membrane-bound bodies that are released into extracellular space by diverse cells, and are found in body fluids like blood, urine and saliva. EVs contain RNA, DNA and proteins, which can be biomarkers for diagnosis. EVs can be obtained by minimally-invasive biopsy, so they are useful in disease diagnosis. High yield and purity contribute to precise diagnosis of disease, but damaged EVs and impurities can cause confu sed results. However, EV isolation methods have different yields and purities. Furthermore, the isolation method that is most suitable to maximize EV recovery efficiency depends on the experimental conditions. This review focuses on merits and demerits of several types of EV isolation methods, and provides examples of how to diagnose disease by exploiting information obtained by analysis of EVs.
Determination of right ventricular ejection fraction in children with cystic fibrosis, using krypton-81m

DOE Office of Scientific and Technical Information (OSTI.GOV)

Piepsz, A.; Ham, H.R.; Millet, E.

1984-01-01

The diagnosis of cor pulmonale and incipient heart failure remains difficult to assess in cystic fibrosis (CF) on the basis of the clinical as well as the biological parameters. The measurement of the right ventricular ejection fraction has been facilitated these last years by the introduction of the radionuclide methods. Methodological difficulties are however encountered when Tc-99m RBC are used, and are mainly related to heart chambers superposition (equilibrium method) or the low count density (first pass method). Few papers have been published on RVEF in cystic fibrosis and the results are somewhat contradictory. The authors have recently introduced amore » new method for the determination of RVEF, using equilibrium study during continuous injection of Kr-81m in glucose solution. This method offers several advantages related to an increased accuracy and a favorable dosimetry. In 25 patients aged 2 to 23 years with CF, one or more RVEF studies were performed. The severity of the disease was evaluated on the basis of the clinical Schwachman score, the lung function tests, the ventilation scan and the pa02. RVEF tended to decrease with the progression of the lung disease, although, owing to the spread of the results, no RVEF could be predicted on the basis of the other parameters. The decrease of RVEF in patients with advanced lung disease was moderate and terminal lung disease was sometimes associated with normal right heart contractility.« less
Testing methods to mitigate Caribbean yellow-band disease on Orbicella faveolata

PubMed Central

Whitcher, Elizabeth M.; Code, Tessa; Pollock, Clayton; Lundgren, Ian; Hillis-Starr, Zandy

2018-01-01

Outbreaks of coral diseases continue to reduce global coral populations. In the Caribbean, yellow band is a severe and wide-spread disease that commonly affects corals of the Orbicella spp. complex, significantly impeding coral reproduction, and hindering the natural recovery of Orbicella spp. populations. Caribbean yellow-band disease (CYBD) lesions may be severe, and often result in the complete loss of coral tissue. The slow spread of CYBD, however, provides an opportunity to test methods to mitigate the disease. Here we report the results of in situ experiments, conducted within Buck Island Reef National Monument in St. Croix, USVI, to test the effectiveness of three techniques to minimize disease impact on Orbicella faveolata: (1) shading, (2) aspirating, and (3) chiseling a “firebreak” to isolate the lesion. Neither shading nor aspirating the diseased tissue significantly reduced CYBD tissue loss. However, chiseling reduced the rate and amount of tissue lost by 31%. While 30–40% of the chiseled lesions appeared to be free of disease signs 12–16 months after treatment, success significantly and steadily declined over 23 months, indicating a possible lack of long-term viability of the technique. The results of this study demonstrate that creating a “firebreak” between diseased and healthy-appearing tissue slows the spread of the disease and may prolong the life of O. faveolata colonies. The firebreak method yielded the best results of all the techniques tested, and also required the least amount of effort and resources. However, we do not recommend that this treatment alone be used for long-term disease mitigation. Rather, we propose that modifications of this and other treatment options be sought. The results also highlight the need for extended monitoring of CYBD after any treatment, due to the slow but variable rate and pattern of tissue loss in this disease. PMID:29770279
AN INTEGRATED CELL CULTURE/RT-PCR METHOD FOR DETECTING ENTEROVIRUS IN WATER

EPA Science Inventory

Echovirus and coxsackievirus can cause mild to severe disease following consumption of contaminated drinking water. However, comprehensive occurrence studies of enteroviruses in drinking water matrices are limited, in part because of the lack of available methods that are rapid, ...
Imaging of the small bowel in Crohn's disease: A review of old and new techniques

PubMed Central

Saibeni, Simone; Rondonotti, Emanuele; Iozzelli, Andrea; Spina, Luisa; Tontini, Gian Eugenio; Cavallaro, Flaminia; Ciscato, Camilla; de Franchis, Roberto; Sardanelli, Francesco; Vecchi, Maurizio

2007-01-01

The investigation of small bowel morphology is often mandatory in many patients with Crohn’s disease. Traditional radiological techniques (small bowel enteroclysis and small bowel follow-through) have long been the only suitable methods for this purpose. In recent years, several alternative imaging techniques have been proposed. To review the most recent advances in imaging studies of the small bowel, with particular reference to their possible application in Crohn’s disease, we conducted a complete review of the most important studies in which traditional and newer imaging methods were performed and compared in patients with Crohn’s disease. Several radiological and endoscopic techniques are now available for the study of the small bowel; each of them is characterized by a distinct profile of favourable and unfavourable features. In some cases, they may also be used as complementary rather than alternative techniques. In everyday practice, the choice of the technique to be used stands upon its availability and a careful evaluation of diagnostic accuracy, clinical usefulness, safety and cost. The recent development of innovative imaging techniques has opened a new and exciting area in the exploration of the small bowel in Crohn’s disease patients. PMID:17659666

Comparing Methods for Maintaining the Safety of a Child with Pica.

ERIC Educational Resources Information Center

LeBlanc, Linda A.; Piazza, Cathleen C.; Krug, Mary A.

1997-01-01

A study of 4-year-old girl with severe intellectual disabilities, congenital heart defects, and pulmonary disease investigated the effectiveness of restraint and no-restraint methods to prevent pica. Both methods prevented pica, however, the no restraint condition required less therapist effort and had less negative impact on quality of life.…
Quality of life in inflammatory bowel disease patients: A cross-sectional study.

PubMed

Habibi, Farzaneh; Habibi, Mohammad Emadoddin; Gharavinia, Ali; Mahdavi, Sadegh Baradaran; Akbarpour, Mohammad Javad; Baghaei, Abdolmehdi; Emami, Mohammad Hassan

2017-01-01

Inflammatory bowel disease (IBD) has a significant impact on health-related quality of life (HRQOL). This study aims to investigate the variables which can be attributed to HRQOL in IBD patients. Seventy-one patients filled in IBD questionnaire (IBDQ-32), Pittsburgh sleep quality index questionnaire, and sociodemographic questionnaire. Disease activity was assessed by Crohn's disease activity index (CDAI) and ulcerative colitis activity index (UCAI). The correlations of sleep quality, sociodemographic variables, and disease characteristics with IBDQ were investigated. IBDQ-32 mean score was lower in patients who had hospitalization ( P = 0.01), poor sleep quality ( P < 0.001), anemia ( P = 0.03), more severe disease ( P = 0.01), and those who had not consumed folic acid ( P = 0.01) relative to their counterparts. A multivariate regression analysis identified the predictors of decreased HRQOL as not consuming folic acid ( P = 0.008), poor sleep quality ( P = 0.014), and disease severity ( P = 0.043). Impaired HRQOL was significantly associated with poor sleep quality, lack of folic acid consumption, and disease severity in IBD patients. Therefore, evaluation of folic acid level and efficacy of its supplementation in prospective studies is recommended. Treatment of sleep disturbance with pharmacological agents and nonpharmacological methods should be kept in mind as well.
Impact of hand eczema severity on quality of life

PubMed Central

Charan, Ujwala Priya; Peter, C. V. Dincy; Pulimood, Susanne A.

2013-01-01

Background: Hand eczema is a common disease seen in dermatological practice comprising of a spectrum ranging from mild disease to a severe distressing and chronic course with a negative impact on the quality of life. Aim: To assess the impact of hand eczema severity on quality of life. Materials and Methods: Patients with hand eczema were enrolled in a prospective study. Disease severity was assessed by hand eczema severity index (HECSI) score and quality of life by dermatology life quality index (DLQI) questionnaire. Results: Forty-six patients participated of which 22 (47.8%) were males and 24 (52.2%) females. The commonest age group affected among men and women was 50-59 years (31.8%) and 40-49 years (41.7%) respectively. History of atopy was found in 23.9% and 63% had persistent disease. In 28 (60.9%), the trigger was washing soaps and detergents of which 21 (87.5%) were housewives. Of those employed, 27.7% reported loss of work days. The mean HECSI score was 14.46 (S.D = 20.98) and mean DLQI score was 9.54 (S.D = 5.62). Gender, age, occupation and duration of disease did not significantly affect the quality of life or disease severity. Increased episodes of eczema (>4 episodes/year) showed a statistically significant correlation with DLQI (P value = 0.021). There was no significant correlation between HECSI score and DLQI in this study. Conclusion: Majority of the patients with hand eczema had a significant impairment of their quality of life. The impairment of quality of life in this study was mainly dependent on increased frequency of the eruptions and not on hand eczema severity. PMID:23741665
Prediction of Severe Disease in Children with Diarrhea in a Resource-Limited Setting

PubMed Central

Levine, Adam C.; Munyaneza, Richard M.; Glavis-Bloom, Justin; Redditt, Vanessa; Cockrell, Hannah C.; Kalimba, Bantu; Kabemba, Valentin; Musavuli, Juvenal; Gakwerere, Mathias; Umurungi, Jean Paul de Charles; Shah, Sachita P.; Drobac, Peter C.

2013-01-01

Objective To investigate the accuracy of three clinical scales for predicting severe disease (severe dehydration or death) in children with diarrhea in a resource-limited setting. Methods Participants included 178 children admitted to three Rwandan hospitals with diarrhea. A local physician or nurse assessed each child on arrival using the World Health Organization (WHO) severe dehydration scale and the Centers for Disease Control (CDC) scale. Children were weighed on arrival and daily until they achieved a stable weight, with a 10% increase between admission weight and stable weight considered severe dehydration. The Clinical Dehydration Scale was then constructed post-hoc using the data collected for the other two scales. Receiver Operator Characteristic (ROC) curves were constructed for each scale compared to the composite outcome of severe dehydration or death. Results The WHO severe dehydration scale, CDC scale, and Clinical Dehydration Scale had areas under the ROC curves (AUCs) of 0.72 (95% CI 0.60, 0.85), 0.73 (95% CI 0.62, 0.84), and 0.80 (95% CI 0.71, 0.89), respectively, in the full cohort. Only the Clinical Dehydration Scale was a significant predictor of severe disease when used in infants, with an AUC of 0.77 (95% CI 0.61, 0.93), and when used by nurses, with an AUC of 0.78 (95% CI 0.63, 0.93). Conclusions While all three scales were moderate predictors of severe disease in children with diarrhea, scale accuracy varied based on provider training and age of the child. Future research should focus on developing or validating clinical tools that can be used accurately by nurses and other less-skilled providers to assess all children with diarrhea in resource-limited settings. PMID:24349271
Clinical endpoints in the controlled human challenge model for Shigella: A call for standardization and the development of a disease severity score

PubMed Central

Lynen, Amanda; Riddle, Mark S.; Talaat, Kawsar; Sack, David; Gutiérrez, Ramiro L.; McKenzie, Robin; DeNearing, Barbara; Feijoo, Brittany; Kaminski, Robert W.; Taylor, David N.; Kirkpatrick, Beth D.; Bourgeois, A. Louis

2018-01-01

Background Since 1946 the controlled human infection model (CHIM) for Shigella has been used to improve understanding of disease pathogenesis, describe clinical and immunologic responses to infection and as a tool for vaccine development. As the frequency and intent for use in vaccine comparisons increases, standardization of the primary endpoint definition is necessary. Methods Subject-level data were obtained from previously conducted experimental Shigella CHIM studies. Signs and symptoms severity were categorized consistently across all studies. Sign and symptom correlations were estimated and univariate models were utilized to describe the association between stool output and other Shigella-attributable signs and symptoms. Multiple correspondence and hierarchical clustering analyses were performed to describe the co-occurrence of signs and symptoms. A disease score is proposed based on the co-occurrence of these events. Results Data were obtained on 54 subjects receiving 800 to 2000 colony forming units (cfu) of S. flexneri. The median maximum 24 hour stool output was 514 ml (IQR: 300, 998 ml) with a median frequency of 6 (IQR: 4, 9). Subjects reported abdominal pain or cramps (81.5%), headache (66.7%) and anorexia (64.8%), 50.0% had a fever and 27.8% had gross blood in multiple loose stools. Multiple correspondence analyses highlighted co-occurrence of symptoms based on severity. A 3-parameter disease severity score predicted shigellosis endpoints and better differentiated disease spectrum. Conclusion Dichotomous endpoints for Shigella CHIM fail to fully account for disease variability. An ordinal disease score characterizing the breadth of disease severity may enable a better characterization of shigellosis and can decrease sample size requirements. Furthermore, the disease severity score may be a useful tool for portfolio management by enabling prioritization across vaccine candidates with comparable efficacy estimates using dichotomous endpoints. PMID:29590182
A method for detecting IBD regions simultaneously in multiple individuals—with applications to disease genetics

PubMed Central

Moltke, Ida; Albrechtsen, Anders; Hansen, Thomas v.O.; Nielsen, Finn C.; Nielsen, Rasmus

2011-01-01

All individuals in a finite population are related if traced back long enough and will, therefore, share regions of their genomes identical by descent (IBD). Detection of such regions has several important applications—from answering questions about human evolution to locating regions in the human genome containing disease-causing variants. However, IBD regions can be difficult to detect, especially in the common case where no pedigree information is available. In particular, all existing non-pedigree based methods can only infer IBD sharing between two individuals. Here, we present a new Markov Chain Monte Carlo method for detection of IBD regions, which does not rely on any pedigree information. It is based on a probabilistic model applicable to unphased SNP data. It can take inbreeding, allele frequencies, genotyping errors, and genomic distances into account. And most importantly, it can simultaneously infer IBD sharing among multiple individuals. Through simulations, we show that the simultaneous modeling of multiple individuals makes the method more powerful and accurate than several other non-pedigree based methods. We illustrate the potential of the method by applying it to data from individuals with breast and/or ovarian cancer, and show that a known disease-causing mutation can be mapped to a 2.2-Mb region using SNP data from only five seemingly unrelated affected individuals. This would not be possible using classical linkage mapping or association mapping. PMID:21493780
Advanced imaging techniques for small bowel Crohn's disease: what does the future hold?

PubMed

Pita, Inês; Magro, Fernando

2018-01-01

Treatment of Crohn's disease (CD) is intrinsically reliant on imaging techniques, due to the preponderance of small bowel disease and its transmural pattern of inflammation. Ultrasound (US), computed tomography (CT) and magnetic resonance imaging (MRI) are the most widely employed imaging methods and have excellent diagnostic accuracy in most instances. Some limitations persist, perhaps the most clinically relevant being the distinction between inflammatory and fibrotic strictures. In this regard, several methodologies have recently been tested in animal models and human patients, namely US strain elastography, shear wave elastography, contrast-enhanced US, magnetization transfer MRI and contrast dynamics in standard MRI. Technical advances in each of the imaging methods may expand their indications. The addition of oral contrast to abdominal US appears to substantially improve its diagnostic capabilities compared to standard US. Ionizing dose-reduction methods in CT can decrease concern about cumulative radiation exposure in CD patients and diffusion-weighted MRI may reduce the need for gadolinium contrast. Clinical indexes of disease activity and severity are also increasingly relying on imaging scores, such as the recently developed Lémann Index. In this review we summarize some of the recent advances in small bowel CD imaging and how they might affect clinical practice in the near future.
A new enzyme-linked immunosorbent assay for neurofilament light in cerebrospinal fluid: analytical validation and clinical evaluation.

PubMed

Gaetani, Lorenzo; Höglund, Kina; Parnetti, Lucilla; Pujol-Calderon, Fani; Becker, Bruno; Eusebi, Paolo; Sarchielli, Paola; Calabresi, Paolo; Di Filippo, Massimiliano; Zetterberg, Henrik; Blennow, Kaj

2018-01-23

Cerebrospinal fluid (CSF) neurofilament light (NfL) is a reliable marker of neuro-axonal damage in different neurological disorders that is related to disease severity. To date, all recent studies performed in human CSF have used the same enzyme-linked immunosorbent assay (ELISA). To confirm the large body of evidence for NfL, we developed a new ELISA method and here we present the performance characteristics of this new ELISA for CSF NfL in different neurological disorders. We produced two monoclonal antibodies (NfL21 and NfL23) directed against the NfL core domain, and developed a novel sandwich ELISA method that we evaluated in patients with: 1) inflammatory demyelinating diseases (IDD; n = 97), including multiple sclerosis (MS; n = 59), clinically isolated syndrome (CIS; n = 32), and radiologically isolated syndrome (RIS; n = 6); 2) Alzheimer's disease (AD; n = 72), including mild cognitive impairment due to AD (MCI-AD, n = 36) and probable AD dementia (AD-dem; n = 36); 3) Parkinson's disease (PD; n = 30); and 4) other neurological noninflammatory and non-neurodegenerative diseases (OND; n = 30). Our new NfL ELISA showed a good analytical performance (inter-plate coefficient of variation (CV) < 13%), with no cross-reactivity with neurofilament medium and heavy (NfM and NfH). With respect to the other available ELISAs, CSF NfL showed the same range of values with a strong correlation (r = 0.9984, p < 0.001) between the two methods. CSF NfL levels were significantly higher in MCI-AD/AD-dem and IDD patients as compared with both PD and OND patients. The highest discriminative power was obtained between IDD and OND patients (area under the curve (AUC) 0.87, 95% confidence interval (CI) 0.80-0.95). Within the IDD group, CSF NfL positively correlated with several clinical and radiological disease severity parameters. These results show a good analytical performance of the new ELISA for quantification of NfL concentrations in the CSF. CSF NfL is confirmed to be a reliable marker in AD and MS, and a disease-severity marker in MS patients.
Association Between Genetic Variation in FOXO3 and Reductions in Inflammation and Disease Activity in Inflammatory Polyarthritis

PubMed Central

Viatte, Sebastien; Lee, James C.; Fu, Bo; Espéli, Marion; Lunt, Mark; De Wolf, Jack N. E.; Wheeler, Lily; Reynolds, John A.; Castelino, Madhura; Symmons, Deborah P. M.; Lyons, Paul A.

2016-01-01

Objective Genetic variation in FOXO3 (tagged by rs12212067) has been associated with a milder course of rheumatoid arthritis (RA) and shown to limit monocyte‐driven inflammation through a transforming growth factor β1–dependent pathway. This genetic association, however, has not been consistently observed in other RA cohorts. We sought to clarify the contribution of FOXO3 to prognosis in RA by combining detailed analysis of nonradiographic disease severity measures with an in vivo model of arthritis. Methods Collagen‐induced arthritis, the most commonly used mouse model of RA, was used to assess how Foxo3 contributes to arthritis severity. Using clinical, serologic, and biochemical methods, the arthritis that developed in mice carrying a loss‐of‐function mutation in Foxo3 was compared with that which occurred in littermate controls. The association of rs12212067 with nonradiographic measures of RA severity, including the C‐reactive protein level, the swollen joint count, the tender joint count, the Disease Activity Score in 28 joints, and the Health Assessment Questionnaire score, were modeled longitudinally in a large prospective cohort of patients with early RA. Results Loss of Foxo3 function resulted in more severe arthritis in vivo (both clinically and histologically) and was associated with higher titers of anticollagen antibodies and interleukin‐6 in the blood. Similarly, rs12212067 (a single‐nucleotide polymorphism that increases FOXO3 transcription) was associated with reduced inflammation, both biochemically and clinically, and with lower RA activity scores. Conclusion Consistent with its known role in restraining inflammatory responses, FOXO3 limits the severity of in vivo arthritis and, through genetic variation that increases its transcription, is associated with reduced inflammation and disease activity in RA patients, effects that result in less radiographic damage. PMID:27214848
The relationship between depression and periodontal diseases.

PubMed

Hwang, S H; Park, S G

2018-03-01

A cross-sectional study was conducted to investigate whether depression is associated with periodontal diseases in a representative sample of South Korean adults Methods: We used data from the sixth Korea National Health and Nutrition Examination Survey (KNHANES VI), conducted in 2014. We included in this study 4328 participants aged over 20 years (1768 males and 2560 females). Depression was assessed with the Patient Health Questionnaire (PHQ-9) and history of physician-diagnosed depression. Periodontal diseases were assessed a gingival bleeding, calculus and periodontal pockets. The data were analyzed using the chi-square test and multiple logistic regression. People with any periodontal diseases tended to be old, male, married, low income, poor education, blue-collar occupation, diabetes mellitus, hypertension, overweight, smoking, not using dental floss or interdental brush in univariate analysis. Neither self-reported nor diagnosed depression was associated with the presence of any or severe periodontal disease in the total sample. In participants aged 20-29 years only, the presence of any periodontal disease was associated with self-reported depression (OR, 2.031; 95% CI, 1.011-4.078). In the same age group, the presence of severe periodontal disease was associated with both self-reported depression (OR, 6.532; 95% CI, 2.190-19.483) and diagnosed depression (OR, 7.729; 95% CI, 1.966-30.389). Self-reported depression was significantly associated with the presence of any or severe periodontal disease, and diagnosed depression was significantly associated with severe periodontal diseases only in participants aged 20-29 years. Copyright© 2018 Dennis Barber Ltd.
Alternative methods for the control of postharvest citrus diseases.

PubMed

Talibi, I; Boubaker, H; Boudyach, E H; Ait Ben Aoumar, A

2014-07-01

The postharvest diseases of citrus fruit cause considerable losses during storage and transportation. These diseases are managed principally by the application of synthetic fungicides. However, the increasing concern for health hazards and environmental pollution due to chemical use has required the development of alternative strategies for the control of postharvest citrus diseases. Management of postharvest diseases using microbial antagonists, natural plant-derived products and Generally Recognized As Safe compounds has been demonstrated to be most suitable to replace the synthetic fungicides, which are either being banned or recommended for limited use. However, application of these alternatives by themselves may not always provide a commercially acceptable level of control of postharvest citrus diseases comparable to that obtained with synthetic fungicides. To provide more effective disease control, a multifaceted approach based on the combination of different postharvest treatments has been adopted. Actually, despite the distinctive features of these alternative methods, several reasons hinder the commercial use of such treatments. Consequently, research should emphasize the development of appropriate tools to effectively implement these alternative methods to commercial citrus production. © 2014 The Society for Applied Microbiology.
Quantitative contrast enhanced magnetic resonance imaging for the evaluation of peripheral arterial disease: a comparative study versus standard digital angiography.

PubMed

Pavlovic, Chris; Futamatsu, Hideki; Angiolillo, Dominick J; Guzman, Luis A; Wilke, Norbert; Siragusa, Daniel; Wludyka, Peter; Percy, Robert; Northrup, Martin; Bass, Theodore A; Costa, Marco A

2007-04-01

The purpose of this study is to evaluate the accuracy of semiautomated analysis of contrast enhanced magnetic resonance angiography (MRA) in patients who have undergone standard angiographic evaluation for peripheral vascular disease (PVD). Magnetic resonance angiography is an important tool for evaluating PVD. Although this technique is both safe and noninvasive, the accuracy and reproducibility of quantitative measurements of disease severity using MRA in the clinical setting have not been fully investigated. 43 lesions in 13 patients who underwent both MRA and digital subtraction angiography (DSA) of iliac and common femoral arteries within 6 months were analyzed using quantitative magnetic resonance angiography (QMRA) and quantitative vascular analysis (QVA). Analysis was repeated by a second operator and by the same operator in approximately 1 month time. QMRA underestimated percent diameter stenosis (%DS) compared to measurements made with QVA by 2.47%. Limits of agreement between the two methods were +/- 9.14%. Interobserver variability in measurements of %DS were +/- 12.58% for QMRA and +/- 10.04% for QVA. Intraobserver variability of %DS for QMRA was +/- 4.6% and for QVA was +/- 8.46%. QMRA displays a high level of agreement to QVA when used to determine stenosis severity in iliac and common femoral arteries. Similar levels of interobserver and intraobserver variability are present with each method. Overall, QMRA represents a useful method to quantify severity of PVD.
Experimental and clinical studies on transmyocardial laser revascularzation (TMLR)

NASA Astrophysics Data System (ADS)

Okada, Masayoshi

2005-07-01

The number of patients with coronary artery disease has been increasing in Japan and several kinds of treatments have been performed to reduce their cardiovascular diseases. In patients with small branches, or diffuse stenotic lesions of the coronary arteries, on whom coronary artery bypass grafting(CABG) and percutaneous coronary intervention (PCI) cannot be carried out, it has been hemodynamically demonstrated possible to supply arterial blood from the left ventricular cavity to the ischemic myocardium through laser channels. On the basis of excellent experimental studies using mongrel dogs, newly created laser channels 0.2 mm in diameter have been confirmed to be histologically patent even 3 years after transmyocardial revascularization(TMLR). Thus, this method could be applied as an alternative procedure of transmyocardial revascularization. First clinical procedure of TMLR alone was performed on 55 year-old male patient with severe angina pectoris who had undergone pericardiectomy 7 years ago. He had no candidate for percutaneous coronary intervention, or coronary artery bypass grafting, because his left venticle had severe adhesion to the left lung. Therefore, this method was finally carried out. He is getting well after this surgical intervention. This procedure should be recommended for the patient with end-stage coronary artery disease.
Pediatric Cushing disease: disparities in disease severity and outcomes in the Hispanic and African-American populations.

PubMed

Gkourogianni, Alexandra; Sinaii, Ninet; Jackson, Sharon H; Karageorgiadis, Alexander S; Lyssikatos, Charalampos; Belyavskaya, Elena; Keil, Margaret F; Zilbermint, Mihail; Chittiboina, Prashant; Stratakis, Constantine A; Lodish, Maya B

2017-08-01

BackgroundLittle is known about the contribution of racial and socioeconomic disparities to severity and outcomes in children with Cushing disease (CD).MethodsA total of 129 children with CD, 45 Hispanic/Latino or African-American (HI/AA) and 84 non-Hispanic White (non-HW), were included in this study. A 10-point index for rating severity (CD severity) incorporated the degree of hypercortisolemia, glucose tolerance, hypertension, anthropomorphic measurements, disease duration, and tumor characteristics. Race, ethnicity, age, gender, local obesity prevalence, estimated median income, and access to care were assessed in regression analyses of CD severity.ResultsThe mean CD severity in the HI/AA group was worse than that in the non-HW group (4.9±2.0 vs. 4.1±1.9, P=0.023); driving factors included higher cortisol levels and larger tumor size. Multiple regression models confirmed that race (P=0.027) and older age (P=0.014) were the most important predictors of worse CD severity. When followed up a median of 2.3 years after surgery, the relative risk for persistent CD combined with recurrence was 2.8 times higher in the HI/AA group compared with that in the non-HW group (95% confidence interval: 1.2-6.5).ConclusionOur data show that the driving forces for the discrepancy in severity of CD are older age and race/ethnicity. Importantly, the risk for persistent and recurrent CD was higher in minority children.
Health Disparities

MedlinePlus

... socio-economic status are strongly affected. Several large observational studies are examining the occurrence of CVD and ... transdisciplinary research involving social, behavioral, biological, and ... methods of preventing, diagnosing, and treating disease and promoting ...
Analysis of Chronic Illnesses and Disability in a Community-Based Sample of Elderly People in South-Eastern Poland.

PubMed

Ćwirlej-Sozańska, Agnieszka; Wilmowska-Pietruszyńska, Anna; Sozański, Bernard; Wiśniowska-Szurlej, Agnieszka

2018-03-07

BACKGROUND The proportion of elderly people living in Poland has risen in recent years. With rising life expectancy, there is likely to be a concurrent increase in the incidence of chronic diseases and disabilities. Therefore, this study aimed to analyze the prevalence of chronic diseases and disability of the elderly in order to help guide strategies of prevention and public health control. MATERIAL AND METHODS This was a cross-sectional study of 1,000 randomly-selected residents living in the Podkarpackie region of Poland. The WHODAS 2.0 questionnaire was used to assess the disability and functioning of the participants across six domains of functioning using the following scores: no disability (0-4%), mild disability (5-24%), moderate disability (25-49%), severe disability (50-95%), and extreme disability (96-100%). RESULTS The presence of at least one chronic disease was identified in 84.1% of participants. The most common diseases were: circulatory diseases (59.10%), spinal pain syndromes (51.50%), degenerative joint diseases (50.30%), and rheumatic diseases (23.90%). Severe or extreme disability was found in 8.46% of patients with circulatory disease, 9.32% of patients with spinal pain syndromes, 9.34% of patients with degenerative joint diseases, and 12.13% of patients with rheumatic diseases. CONCLUSIONS Based on our findings, we recommend an emphasis be placed on early diagnosis of chronic diseases. We also recommend implementing methods of primary and secondary prevention aimed at reducing or eliminating disability resulting from chronic diseases. Our research highlights the need to plan targeted support and prevention programs using strategies that optimize social participation of older people with various chronic diseases.
Analysis of Chronic Illnesses and Disability in a Community-Based Sample of Elderly People in South-Eastern Poland

PubMed Central

Wilmowska-Pietruszyńska, Anna; Sozański, Bernard; Wiśniowska-Szurlej, Agnieszka

2018-01-01

Background The proportion of elderly people living in Poland has risen in recent years. With rising life expectancy, there is likely to be a concurrent increase in the incidence of chronic diseases and disabilities. Therefore, this study aimed to analyze the prevalence of chronic diseases and disability of the elderly in order to help guide strategies of prevention and public health control. Material/Methods This was a cross-sectional study of 1,000 randomly-selected residents living in the Podkarpackie region of Poland. The WHODAS 2.0 questionnaire was used to assess the disability and functioning of the participants across six domains of functioning using the following scores: no disability (0–4%), mild disability (5–24%), moderate disability (25–49%), severe disability (50–95%), and extreme disability (96–100%). Results The presence of at least one chronic disease was identified in 84.1% of participants. The most common diseases were: circulatory diseases (59.10%), spinal pain syndromes (51.50%), degenerative joint diseases (50.30%), and rheumatic diseases (23.90%). Severe or extreme disability was found in 8.46% of patients with circulatory disease, 9.32% of patients with spinal pain syndromes, 9.34% of patients with degenerative joint diseases, and 12.13% of patients with rheumatic diseases. Conclusions Based on our findings, we recommend an emphasis be placed on early diagnosis of chronic diseases. We also recommend implementing methods of primary and secondary prevention aimed at reducing or eliminating disability resulting from chronic diseases. Our research highlights the need to plan targeted support and prevention programs using strategies that optimize social participation of older people with various chronic diseases. PMID:29512628
SFM: A novel sequence-based fusion method for disease genes identification and prioritization.

PubMed

Yousef, Abdulaziz; Moghadam Charkari, Nasrollah

2015-10-21

The identification of disease genes from human genome is of great importance to improve diagnosis and treatment of disease. Several machine learning methods have been introduced to identify disease genes. However, these methods mostly differ in the prior knowledge used to construct the feature vector for each instance (gene), the ways of selecting negative data (non-disease genes) where there is no investigational approach to find them and the classification methods used to make the final decision. In this work, a novel Sequence-based fusion method (SFM) is proposed to identify disease genes. In this regard, unlike existing methods, instead of using a noisy and incomplete prior-knowledge, the amino acid sequence of the proteins which is universal data has been carried out to present the genes (proteins) into four different feature vectors. To select more likely negative data from candidate genes, the intersection set of four negative sets which are generated using distance approach is considered. Then, Decision Tree (C4.5) has been applied as a fusion method to combine the results of four independent state-of the-art predictors based on support vector machine (SVM) algorithm, and to make the final decision. The experimental results of the proposed method have been evaluated by some standard measures. The results indicate the precision, recall and F-measure of 82.6%, 85.6% and 84, respectively. These results confirm the efficiency and validity of the proposed method. Copyright © 2015 Elsevier Ltd. All rights reserved.
Retrieval Performance Prediction and Document Quality

DTIC Science & Technology

2007-09-01

can help. However, there are hard-to-expand queries that the method fail to detect. One is “ Legionnaires disease ” [delta average precision (REL-QL...0.248, model comparison score:-0.256 ] where documents can contain the terms “ legionnaire (meaning soldier)” and “ disease ” (and 99 related words...yet not be about Legionnaires ’ disease , leading to a low comparison score despite its hard-to-expand status. 4.5 Summary Several prediction
Quantification of liver fat: A comprehensive review.

PubMed

Goceri, Evgin; Shah, Zarine K; Layman, Rick; Jiang, Xia; Gurcan, Metin N

2016-04-01

Fat accumulation in the liver causes metabolic diseases such as obesity, hypertension, diabetes or dyslipidemia by affecting insulin resistance, and increasing the risk of cardiac complications and cardiovascular disease mortality. Fatty liver diseases are often reversible in their early stage; therefore, there is a recognized need to detect their presence and to assess its severity to recognize fat-related functional abnormalities in the liver. This is crucial in evaluating living liver donors prior to transplantation because fat content in the liver can change liver regeneration in the recipient and donor. There are several methods to diagnose fatty liver, measure the amount of fat, and to classify and stage liver diseases (e.g. hepatic steatosis, steatohepatitis, fibrosis and cirrhosis): biopsy (the gold-standard procedure), clinical (medical physics based) and image analysis (semi or fully automated approaches). Liver biopsy has many drawbacks: it is invasive, inappropriate for monitoring (i.e., repeated evaluation), and assessment of steatosis is somewhat subjective. Qualitative biomarkers are mostly insufficient for accurate detection since fat has to be quantified by a varying threshold to measure disease severity. Therefore, a quantitative biomarker is required for detection of steatosis, accurate measurement of severity of diseases, clinical decision-making, prognosis and longitudinal monitoring of therapy. This study presents a comprehensive review of both clinical and automated image analysis based approaches to quantify liver fat and evaluate fatty liver diseases from different medical imaging modalities. Copyright © 2016 Elsevier Ltd. All rights reserved.

Predictors of Olfactory Dysfunction in Rhinosinusitis Using the Brief Smell Identification Test

PubMed Central

Alt, Jeremiah A.; Mace, Jess C.; Buniel, Maria C. F.; Soler, Zachary M.; Smith, Timothy L.

2014-01-01

Objective Associations between olfactory function to quality-of-life (QOL) and disease severity in patients with rhinosinusitis is poorly understood. We sought to evaluate and compare olfactory function between subgroups of patients with rhinosinusitis using the Brief Smell Identification Test (BSIT). Study Design Cross-sectional evaluation of a multi-center cohort. Methods Patients with recurrent acute sinusitis (RARS) and chronic rhinosinusitis (CRS) with and without nasal polyposis were prospectively enrolled from three academic tertiary care sites. Each subject completed the BSIT, in addition to measures of disease-specific QOL. Patient demographics, comorbidities, and clinical measures of disease severity were compared between patients with normal (BSIT; ≥9) and abnormal (BSIT; <9) olfaction scores. Regression modeling was used to identify potential risk factors associated with olfactory impairment. Results Patients with rhinosinusitis (n=445) were found to suffer olfactory dysfunction as measured by the BSIT (28.3%). Subgroups of rhinosinusitis differed in the degree of olfactory dysfunction reported. Worse disease severity, measured by computed tomography and nasal endoscopy, correlated to worse olfaction. Olfactory scores did not consistently correlate with Rhinosinusitis Disability Index or Sinonasal Outcome Test scores. Regression models demonstrated nasal polyposis was the strongest predictor of olfactory dysfunction. Recalcitrant disease and aspirin intolerance were strongly predictive of worse olfactory function. Conclusion Olfactory dysfunction is a complex, multi-factorial process found to be differentially expressed within subgroups of rhinosinusitis. Olfaction was associated with disease severity as measured by imaging and endoscopy, with only weak associations to disease-specific QOL measures. PMID:24402746
Integrated Enrichment Analysis of Variants and Pathways in Genome-Wide Association Studies Indicates Central Role for IL-2 Signaling Genes in Type 1 Diabetes, and Cytokine Signaling Genes in Crohn's Disease

PubMed Central

Carbonetto, Peter; Stephens, Matthew

2013-01-01

Pathway analyses of genome-wide association studies aggregate information over sets of related genes, such as genes in common pathways, to identify gene sets that are enriched for variants associated with disease. We develop a model-based approach to pathway analysis, and apply this approach to data from the Wellcome Trust Case Control Consortium (WTCCC) studies. Our method offers several benefits over existing approaches. First, our method not only interrogates pathways for enrichment of disease associations, but also estimates the level of enrichment, which yields a coherent way to promote variants in enriched pathways, enhancing discovery of genes underlying disease. Second, our approach allows for multiple enriched pathways, a feature that leads to novel findings in two diseases where the major histocompatibility complex (MHC) is a major determinant of disease susceptibility. Third, by modeling disease as the combined effect of multiple markers, our method automatically accounts for linkage disequilibrium among variants. Interrogation of pathways from eight pathway databases yields strong support for enriched pathways, indicating links between Crohn's disease (CD) and cytokine-driven networks that modulate immune responses; between rheumatoid arthritis (RA) and “Measles” pathway genes involved in immune responses triggered by measles infection; and between type 1 diabetes (T1D) and IL2-mediated signaling genes. Prioritizing variants in these enriched pathways yields many additional putative disease associations compared to analyses without enrichment. For CD and RA, 7 of 8 additional non-MHC associations are corroborated by other studies, providing validation for our approach. For T1D, prioritization of IL-2 signaling genes yields strong evidence for 7 additional non-MHC candidate disease loci, as well as suggestive evidence for several more. Of the 7 strongest associations, 4 are validated by other studies, and 3 (near IL-2 signaling genes RAF1, MAPK14, and FYN) constitute novel putative T1D loci for further study. PMID:24098138
Disease course and long-term outcome of juvenile localized scleroderma: Experience from a single pediatric rheumatology Centre and literature review.

PubMed

Martini, Giorgia; Fadanelli, Gloria; Agazzi, Anna; Vittadello, Fabio; Meneghel, Alessandra; Zulian, Francesco

2018-05-03

Juvenile Localized Scleroderma (JLS) is a rare disorder that may cause severe aesthetic sequelae and functional disability. To date, data on natural history and long-term outcome are discordant and difficult to compare due to the heterogeneity of clinical subtypes, treatments and methods to evaluate activity and outcome in previous studies. A retrospective and cross-sectional study including 133 patients followed between January 1991 and December 2016 was conducted at our Pediatric Rheumatology Centre. Disease course was drawn by retrospective analysis of patients' clinical features, treatment, disease course and outcome at the last evaluation. Disease activity and severity of tissue damage were assessed by using parameters derived from the Localized Scleroderma Cutaneous Assessment Tool (LoSCAT) and thermography. Most patients achieved complete remission, as only 12.5%, all with the linear subtype, had still active disease after over 10 years of follow-up. At least one disease relapse occurred in 22.2% of patients and first flare was observed 20 months after first treatment discontinuation. Mild tissue damage was observed in more than half of patients, in 25.4% was moderate and in 23.0% severe; 19.8% presented a functional limitation. The entity of skin and subcutaneous fat loss established at the early stages of the disease as 27.8% of patients with shorter disease duration had severe damage and the rates remained constant in patients with longer follow-up. The delay in start of systemic treatment was associated with longer disease activity and higher relapse rate. Patients with linear scleroderma (LS), pansclerotic morphea (PM) and mixed subtype (MS) presented more severe aesthetic and functional damage but did not differ from other subtypes as for rate of complete remission. JLS in some patients can be a very aggressive disease with persistent activity after >10 years and/or several disease relapses. As tissue damage establishes early in disease course a prompt diagnosis and start of appropriate treatment is crucial to control inflammation, to limit and stabilize damage, before it become irreversible. Clinicians must be aware that children with JLS may present disease reactivation so it is important to closely follow-up patients, particularly in the first 2 years after discontinuation of treatment when disease relapses may occur more frequently. Copyright © 2018 Elsevier B.V. All rights reserved.
A Preliminary Investigation of ADHD Symptoms in Persons with Celiac Disease

ERIC Educational Resources Information Center

Niederhofer, Helmut; Pittschieler, Klaus

2006-01-01

Objective: Several studies report a possible association of celiac disease (CD) with psychiatric and psychological disturbances, such as ADHD. Method: The authors assess 132 participants from 3 to 57 years of age (M = 19.3 years) affected by CD for the possibility of an associated ADHD-like symptomatology, using the Conner Scale Hypescheme, a…
Fungicide Injection to Control Dutch Elm Disease: Understanding the Options

Treesearch

Linda Haugen; Mark Stennes

1999-01-01

In some situations, injecting trees with fungicides is an effective treatment for the management of Dutch elm disease (DED). Several injection products are on the market, and various means of application are recommended. Each product and method has pros and cons. The "best" product depends on the individual tree? its current condition, the objectives of the...
Need for improved methods to collect and present spatial epidemiologic data for vectorborne diseases.

PubMed

Eisen, Lars; Eisen, Rebecca J

2007-12-01

Improved methods for collection and presentation of spatial epidemiologic data are needed for vectorborne diseases in the United States. Lack of reliable data for probable pathogen exposure site has emerged as a major obstacle to the development of predictive spatial risk models. Although plague case investigations can serve as a model for how to ideally generate needed information, this comprehensive approach is cost-prohibitive for more common and less severe diseases. New methods are urgently needed to determine probable pathogen exposure sites that will yield reliable results while taking into account economic and time constraints of the public health system and attending physicians. Recent data demonstrate the need for a change from use of the county spatial unit for presentation of incidence of vectorborne diseases to more precise ZIP code or census tract scales. Such fine-scale spatial risk patterns can be communicated to the public and medical community through Web-mapping approaches.
Development of imaging techniques to study the pathogenesis of biosafety level 2/3 infectious agents

PubMed Central

Rella, Courtney E.; Ruel, Nancy; Eugenin, Eliseo A.

2015-01-01

Despite significant advances in microbiology and molecular biology over the last decades, several infectious diseases remain global concerns, resulting in the death of millions of people worldwide each year. According to the Center for Disease Control (CDC) in 2012, there were 34 million people infected with HIV, 8.7 million new cases of tuberculosis, 500 million cases of hepatitis, and 50–100 million people infected with dengue. Several of these pathogens, despite high incidence, do not have reliable clinical detection methods. New or improved protocols have been generated to enhance detection and quantitation of several pathogens using high-end microscopy (light, confocal, and STORM microscopy) and imaging software. In the current manuscript, we discuss these approaches and the theories behind these methodologies. Thus, advances in imaging techniques will open new possibilities to discover therapeutic interventions to reduce or eliminate the devastating consequences of infectious diseases. PMID:24990818
Diagnosis and treatment of viral diseases in recipients of allogeneic hematopoietic stem cell transplantation

PubMed Central

2013-01-01

Viral infections are important causes of morbidity and mortality after allogeneic stem cell hematopoietic transplantation (allo-HSCT). Although most viral infections present with asymptomatic or subclinical manifestations, viruses may result in fatal complications in severe immunocompromised recipients. Reactivation of latent viruses, such as herpesviruses, is frequent during the immunosuppression that occurs with allo-HSCT. Viruses acquired from community, such as the respiratory and gastrointestinal viruses, are also important pathogens of post-transplant viral diseases. Currently, molecular diagnostic methods have replaced or supplemented traditional methods, such as viral culture and antigen detection, in diagnosis of viral infections. The utilization of polymerase chain reaction facilitates the early diagnosis. In view of lacking efficacious agents for treatment of viral diseases, prevention of viral infections is extremely valuable. Application of prophylactic strategies including preemptive therapy reduces viral infections and diseases. Adoptive cellular therapy for restoring virus-specific immunity is a promising method in the treatment of viral diseases. PMID:24341630
[Socioeconomic costs of food-borne disease using the cost-of-illness model: applying the QALY method].

PubMed

Shin, Hosung; Lee, Suehyung; Kim, Jong Soo; Kim, Jinsuk; Han, Kyu Hong

2010-07-01

This study estimated the annual socioeconomic costs of food-borne disease in 2008 from a societal perspective and using a cost-of-illness method. Our model employed a comprehensive set of diagnostic disease codes to define food-borne diseases with using the Korea National Health Insurance (KNHI) reimbursement data. This study classified the food borne illness as three types of symptoms according to the severity of the illness: mild, moderate, severe. In addition to the traditional method of assessing the cost-of-illness, the study included measures to account for the lost quality of life. We estimated the cost of the lost quality of life using quality-adjusted life years and a visual analog scale. The direct cost included medical and medication costs, and the non-medical costs included transportation costs, caregiver's cost and administration costs. The lost productivity costs included lost workdays due to illness and lost earnings due to premature death. The study found the estimated annual socioeconomic costs of food-borne disease in 2008 were 954.9 billion won (735.3 billion won-996.9 billion won). The medical cost was 73.4 - 76.8% of the cost, the lost productivity cost was 22.6% and the cost of the lost quality of life was 26.0%. Most of the cost-of-illness studies are known to have underestimated the actual socioeconomic costs of the subjects, and these studies excluded many important social costs, such as the value of pain, suffering and functional disability. The study addressed the uncertainty related to estimating the socioeconomic costs of food-borne disease as well as the updated cost estimates. Our estimates could contribute to develop and evaluate policies for food-borne disease.
Vision-Threatening Behcet's Disease: Severity of Ocular Involvement Predictors

PubMed Central

Hussein, Mohammed A.; Dahab, Ahmed A.

2018-01-01

Purpose To examine and spot systemic findings commonly associated with a serious form of ocular Behcet's disease. This could potentially help ophthalmologists categorize their patients based on future risk and plan treatment accordingly. Subjects and Methods The data of 249 patients with Behcet's disease were examined thoroughly. Correlations between systemic and ocular findings were recorded. Patients were further subgrouped by the authors as having a vision-threatening form of the disease or not. Regression analysis was done to spot predictors for a vision-threatening form of the disease. Results The presence of systemic vasculitis and oral and genital ulcers in a patient with Behcet's disease was found to be associated with a milder form of ocular affection or none at all and vice versa. Certain correlations between findings were also found. Conclusion Certain findings in Behcet's disease may act as predictors for the severity of ocular affection. Directing our attention to these factors by the internist and ophthalmologist can help plan the frequency of follow-up as well as the aggressiveness of treatment in patients with Behcet's disease. PMID:29854430
Metabolomics as a Functional Tool in Screening Gastro Intestinal Diseases: Where are we in High Throughput Screening?

PubMed

Gundamaraju, Rohit; Vemuri, Ravichandra; Eri, Rajaraman; Ishiki, Hamilton M; Coy-Barrera, Ericsson; Yarla, Nagendra Sastry; Dos Santos, Sócrates Golzio; Alves, Mateus Feitosa; Barbosa Filho, José Maria; Diniz, Margareth F F M; Scotti, Marcus T; Scotti, Luciana

2017-01-01

Identifying novel bio markers in gastro intestinal disease is a promising method where a comprehensive analysis of the metabolome is performed. Metabolomics has evolved enormously in the past decade, paving a path in gastro intestinal disease research, especially diseases which lead to high morbidity and mortality. Metabolomics involves identifying metabolites such as anti-oxidants, and amino acids etc., which are screened in the urine, feces and tissue samples. Certain cases employ advanced tools like GC-MS, 1HNMR and GC-MS/SPME which reveal valuable information concerning disease severity and differentiation. In light of escalating health care costs and risky invasive procedures, metabolomics can be chosen as a safe yet precise method for screening diseases like ulcerative colitis, Crohns' disease, celiac disease, and gastro intestinal cancers. The present review focuses on major advancements in gastro intestinal metabolomics, giving attention to which parameters are assessed, and to recent changes in metabolite analysis. Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.org.
Clinical Severity of Clostridium difficile PCR Ribotype 027: A Case-Case Study

PubMed Central

Morgan, Oliver W.; Rodrigues, Boaventura; Elston, Tony; Verlander, Neville Q.; Brown, Derek F. J.; Brazier, Jonathan; Reacher, Mark

2008-01-01

Background Clostridium difficile is a leading infectious cause of health care associated diarrhoea. Several industrialised countries have reported increased C. difficile infections and outbreaks, which have been attributed to the emergent PCR ribotype 027 strain. Methods and Findings We conducted a case-case study to compare severity of C. difficile disease for patients with 027 versus non-027 ribotypes. We retrospectively collected clinical information about 123/136 patients with C. difficile infections admitted to hospitals in the East of England region in 2006 and from whom stool isolates were cultured and ribotyped as part of an earlier national survey. We defined severe C. difficile disease as having one or more of shock, paralytic ileus, pseudo membranous colitis or toxic megacolon. Patient median age was 83 years old (range 3 to 98, interquartile range 75 to 89), 86% were prescribed antibiotics in the eight weeks before illness onset, 41% had ribotype 027 and 30-day all cause mortality during hospital admission was 21%. Severe disease occurred in 24% (95%CI 13% to 37%) and 17% (95%CI 9% to 27%) of patients with PCR ribotype 027 and non-027 ribotypes respectively. In a multivariable model, ribotype 027 was not associated with severe disease after adjusting for sex, discharge from hospital prior to 60 days of current admission, gastroenteritis on admission, number of initiator antibiotics for C. difficile disease, and hospital where the patient was admitted. Conclusions Our study found no evidence to support previous assertions that ribotype 027 is more virulent than other PCR ribotypes. This finding raises questions about the contribution of this strain to the recent increase in C. difficile disease throughout North America and Europe. PMID:18350149
Computerized scheme for detection of diffuse lung diseases on CR chest images

NASA Astrophysics Data System (ADS)

Pereira, Roberto R., Jr.; Shiraishi, Junji; Li, Feng; Li, Qiang; Doi, Kunio

2008-03-01

We have developed a new computer-aided diagnostic (CAD) scheme for detection of diffuse lung disease in computed radiographic (CR) chest images. One hundred ninety-four chest images (56 normals and 138 abnormals with diffuse lung diseases) were used. The 138 abnormal cases were classified into three levels of severity (34 mild, 60 moderate, and 44 severe) by an experienced chest radiologist with use of five different patterns, i.e., reticular, reticulonodular, nodular, air-space opacity, and emphysema. In our computerized scheme, the first moment of the power spectrum, the root-mean-square variation, and the average pixel value were determined for each region of interest (ROI), which was selected automatically in the lung fields. The average pixel value and its dependence on the location of the ROI were employed for identifying abnormal patterns due to air-space opacity or emphysema. A rule-based method was used for determining three levels of abnormality for each ROI (0: normal, 1: mild, 2: moderate, and 3: severe). The distinction between normal lungs and abnormal lungs with diffuse lung disease was determined based on the fractional number of abnormal ROIs by taking into account the severity of abnormalities. Preliminary results indicated that the area under the ROC curve was 0.889 for the 44 severe cases, 0.825 for the 104 severe and moderate cases, and 0.794 for all cases. We have identified a number of problems and reasons causing false positives on normal cases, and also false negatives on abnormal cases. In addition, we have discussed potential approaches for improvement of our CAD scheme. In conclusion, the CAD scheme for detection of diffuse lung diseases based on texture features extracted from CR chest images has the potential to assist radiologists in their interpretation of diffuse lung diseases.
A molecular insight into papaya leaf curl-a severe viral disease.

PubMed

Varun, Priyanka; Ranade, S A; Saxena, Sangeeta

2017-11-01

Papaya leaf curl disease (PaLCuD) caused by papaya leaf curl virus (PaLCuV) not only affects yield but also plant growth and fruit size and quality of papaya and is one of the most damaging and economically important disease. Management of PaLCuV is a challenging task due to diversity of viral strains, the alternate hosts, and the genomic complexities of the viruses. Several management strategies currently used by plant virologists to broadly control or eliminate the viruses have been discussed. In the absence of such strategies in the case of PaLCuV at present, the few available options to control the disease include methods like removal of affected plants from the field, insecticide treatments against the insect vector (Bemisia tabaci), and gene-specific control through transgenic constructs. This review presents the current understanding of papaya leaf curl disease, genomic components including satellite DNA associated with the virus, wide host and vector range, and management of the disease and suggests possible generic resistance strategies.
QUALITY OF LIFE IN PATIENTS WITH GRAVES OPHTHALMOPATHY

PubMed Central

Yeatts, R. Patrick

2005-01-01

Purpose To assess the quality of life in patients with Graves ophthalmopathy by means of a prospective questionnaire with validation. Methods A questionnaire containing 105 items was sent to 325 patients seen in our university-based oculoplastic clinic. Two hundred three questionnaires were returned and were suitable for analysis. Fifty-three consecutive patients with Graves disease who presented to the clinic for examination also completed the questionnaire. The questionnaire was validated by administering it to 33 healthy subjects who had no history of Graves disease or thyroid disorder. The results were compared with those of normal subjects and with national norms for visually impaired populations. The relationship of individual questionnaire items to measures of clinical severity was subsequently assessed. Results Patients with Graves ophthalmopathy report greater impairment in both physical (44.4 versus 51.9; P < .001) and mental (43.8 versus 51.8; P < .001) health; poorer self- image (P < .001); and significantly more disturbance in their sleep, social function, and work function (P < .001) than controls. Afflicted patients also experience significantly more diplopia, blurred vision, and dry eye symptoms than controls (P < .001). Individual questionnaire items were found to correlate with clinical disease severity scores and were used to establish a Graves ophthalmopathy quality-of-life questionnaire with disease severity validation. Conclusions Patients with Graves disease are significantly impaired in their social and vocational function because of the ophthalmic manifestations of the disease. A short questionnaire that correlates with clinical measures of disease severity may be a useful measure of quality of life in this disease. PMID:17057811
Salivary Levels of IL-6 and IL-17 Could Be an Indicator of Disease Severity in Patients with Calculus Associated Chronic Periodontitis

PubMed Central

Batool, Husniah; Nadeem, Ahmed; Tahir, Romeeza

2018-01-01

Background/Purpose. Chronic periodontitis is an inflammatory disease of gums that causes loss of supporting structures of teeth, that is, gingiva, periodontal ligament, cementum, and alveolar bone. Levels of various cytokines in the serum, gingival tissues, and gingival crevicular fluid in patients with chronic periodontitis have been studied, but limited data are available on the level of cytokines in saliva. Therefore, a study was designed to determine levels of salivary IL-6 and IL-17 in patients with calculus associated chronic periodontitis. Materials and Methods. It was a comparative, cross-sectional study that is comprised of 41 healthy controls and 41 calculus associated chronic periodontitis patients (CP patients). According to the degree of attachment loss, CP patients were subcategorized as mild (CAL 1-2 mm), moderate (CAL 3-4 mm), and severe (CAL > 5 mm) forms of periodontitis. Salivary levels of IL-6 and IL-17 were determined using enzyme-linked immunosorbent assay (ELISA) technique. Data was analyzed using SPSS 20.0. Results. Between healthy controls and CP patients (moderate and severe disease), a statistically significant difference was observed in the concentrations of IL-6 and IL-17. In CP patients, the highest mean ± SD of salivary IL-6 and IL-17 was observed in severe CP, followed by moderate and mild CP. Regarding level of IL-6, a statistically significant difference was observed between mild and severe disease and between moderate and severe subcategories of CP patients. Similarly, statistically significant difference was observed in the level of IL-17 between mild and moderate, mild and severe disease, and moderate and severe disease. Conclusion. The levels of salivary IL-6 and IL-17 were increased significantly in calculus associated CP patients as compared to healthy controls and these levels increased with the progression of CP. Clinical Significance. Salivary levels of IL-6 and IL-17 may help in the subcategorization of CP. PMID:29670909
A method for determining the severity of Sudden Death Syndrome in soybeans

USDA-ARS?s Scientific Manuscript database

Sudden death syndrome (SDS), caused by the fungus Fusarium virguliforme, is a widespread mid- to late- season soybean disease with distinctive foliar symptoms that in some extreme cases may cause nearly 100% yield loss. This article reports on the development of an image analysis method to quantify ...
Bilateral versus unilateral thyroid eye disease

PubMed Central

Kashkouli, Mohsen Bahmani; Kaghazkanani, Reza; Heidari, Iraj; Ketabi, Nooshin; Jam, Sara; Azarnia, Shahrzad; Pakdel, Farzad

2011-01-01

Aims: The aim of this study was to compare demographics, clinical manifestations, associated systemic and ocular factors, severity and activity of patients with unilateral thyroid eye disease (U-TED) versus bilateral thyroid eye disease (B-TED). Materials and Methods: In a cross-sectional study, all patients with Graves’ hyperthyroidism and primary hypothyroidism seen in an endocrinology clinic were included from September 2003 to July 2006. Demographics, complete eye examination, severity score (NOSPECS, total eye score), and clinical activity score were recorded and compared in the B-TED and U-TED groups of patients. Results: From 851 patients with thyroid disorders, 303 (35.6%) had TED. Thirty-two patients (32/ 303, 10.56%) were found to have U-TED. Patients with U-TED (mean age 31.6 ± 11.6 years) were significantly younger than patients with B-TED (mean age 37.7 ± 14.7 years). Monovariate analysis (Chi-square and independent sample t-test) showed a significantly higher severity score in B-TED (U-TED 4.09±4.05, B-TED: 6.7±6.3; P= 0.002) and more activity score in B-TED (U-TED= 1.03±0.96, B-TED: 1.74±1.6, P= 0.001). However, multivariate analysis did not show any significant difference between the two groups in terms of age, gender, type of thyroid disease, duration of thyroid disease and TED, severity and activity of TED, smoking habit, and presentation of TED before or after the presentation of thyroid disease (0.1
Correlation between fecal calprotectin levels, disease severity and the hypervirulent ribotype 027 strain in patients with Clostridium difficile infection.

PubMed

Peretz, Avi; Tkhawkho, Linda; Pastukh, Nina; Brodsky, Diana; Halevi, Chen Namimi; Nitzan, Orna

2016-06-22

Clostridium difficile is the most common infectious etiology of nosocomial diarrhea. Fecal calprotectin (fc) is a sensitive marker of intestinal inflammation, found to be associated with enteric bacterial infections and inflammatory bowel disease. We evaluated fc levels using a Chemiluminescent immunoassay method, in hospitalized patients with C. difficile infection (CDI) diagnosed by molecular stool examination and assessed correlation with virulent ribotype 027 strain infection, antibiotic susceptibility by gradient Etest strip performed on C. difficile colonies and clinical and laboratory measures of disease severity. Statistical analysis was performed for correlation of fc levels with clinical and laboratory parameters, disease severity and patient outcomes. Overall 29 patients with CDI were admitted at the Poria medical center in northern Israel, during June 2014-May 2015. Resistance to metronidazole was found in 3 (10.3 %) isolates and to vancomycin in 5 (17.2 %) isolates. Regarding patient outcomes, within 30 days of CDI diagnosis, recurrence of disease occurred in 10 (34.5 %) patients and 2 patients (6.9 %) died. Seven (24.1 %) isolates were C. difficile ribotype 027. Mean fc level was 331.4 μg/g (21-932). Higher fc levels were found in patients with C. difficile ribotype 027 (p < 0.0005). Fc levels were also correlated with elevated peripheral blood white cell count (p = 0.0007). A trend for higher fc levels was found in patients with a higher clostridium severity score index (p = 0.0633). No correlation was found between fecal calprotectin levels and age, sex, functional status, community versus hospital acquired CDI, antibiotic susceptibility, fever, and creatinine levels. Our study highlights the fact that fc has a potential role as a biomarker of disease severity and binary toxin producing ribotype associated disease.
Predicting drug-disease interactions by semi-supervised graph cut algorithm and three-layer data integration.

PubMed

Wu, Guangsheng; Liu, Juan; Wang, Caihua

2017-12-28

Prediction of drug-disease interactions is promising for either drug repositioning or disease treatment fields. The discovery of novel drug-disease interactions, on one hand can help to find novel indictions for the approved drugs; on the other hand can provide new therapeutic approaches for the diseases. Recently, computational methods for finding drug-disease interactions have attracted lots of attention because of their far more higher efficiency and lower cost than the traditional wet experiment methods. However, they still face several challenges, such as the organization of the heterogeneous data, the performance of the model, and so on. In this work, we present to hierarchically integrate the heterogeneous data into three layers. The drug-drug and disease-disease similarities are first calculated separately in each layer, and then the similarities from three layers are linearly fused into comprehensive drug similarities and disease similarities, which can then be used to measure the similarities between two drug-disease pairs. We construct a novel weighted drug-disease pair network, where a node is a drug-disease pair with known or unknown treatment relation, an edge represents the node-node relation which is weighted with the similarity score between two pairs. Now that similar drug-disease pairs are supposed to show similar treatment patterns, we can find the optimal graph cut of the network. The drug-disease pair with unknown relation can then be considered to have similar treatment relation with that within the same cut. Therefore, we develop a semi-supervised graph cut algorithm, SSGC, to find the optimal graph cut, based on which we can identify the potential drug-disease treatment interactions. By comparing with three representative network-based methods, SSGC achieves the highest performances, in terms of both AUC score and the identification rates of true drug-disease pairs. The experiments with different integration strategies also demonstrate that considering several sources of data can improve the performances of the predictors. Further case studies on four diseases, the top-ranked drug-disease associations have been confirmed by KEGG, CTD database and the literature, illustrating the usefulness of SSGC. The proposed comprehensive similarity scores from multi-views and multiple layers and the graph-cut based algorithm can greatly improve the prediction performances of drug-disease associations.

A morphological method for ammonia detection in liver

PubMed Central

Gutiérrez-de-Juan, Virginia; López de Davalillo, Sergio; Fernández-Ramos, David; Barbier-Torres, Lucía; Zubiete-Franco, Imanol; Fernández-Tussy, Pablo; Simon, Jorge; Lopitz-Otsoa, Fernando; de las Heras, Javier; Iruzubieta, Paula; Arias-Loste, María Teresa; Villa, Erica; Crespo, Javier; Andrade, Raúl; Lucena, M. Isabel; Varela-Rey, Marta; Lu, Shelly C.; Mato, José M.; Delgado, Teresa Cardoso

2017-01-01

Hyperammonemia is a metabolic condition characterized by elevated levels of ammonia and a common event in acute liver injury/failure and chronic liver disease. Even though hepatic ammonia levels are potential predictive factors of patient outcome, easy and inexpensive methods aiming at the detection of liver ammonia accumulation in the clinical setting remain unavailable. Thus, herein we have developed a morphological method, based on the utilization of Nessler´s reagent, to accurately and precisely detect the accumulation of ammonia in biological tissue. We have validated our method against a commercially available kit in mouse tissue samples and, by using this modified method, we have confirmed the hepatic accumulation of ammonia in clinical and animal models of acute and chronic advanced liver injury as well as in the progression of fatty liver disease. Overall, we propose a morphological method for ammonia detection in liver that correlates well with the degree of liver disease severity and therefore can be potentially used to predict patient outcome. PMID:28319158
A morphological method for ammonia detection in liver.

PubMed

Gutiérrez-de-Juan, Virginia; López de Davalillo, Sergio; Fernández-Ramos, David; Barbier-Torres, Lucía; Zubiete-Franco, Imanol; Fernández-Tussy, Pablo; Simon, Jorge; Lopitz-Otsoa, Fernando; de Las Heras, Javier; Iruzubieta, Paula; Arias-Loste, María Teresa; Villa, Erica; Crespo, Javier; Andrade, Raúl; Lucena, M Isabel; Varela-Rey, Marta; Lu, Shelly C; Mato, José M; Delgado, Teresa Cardoso; Martínez-Chantar, María-Luz

2017-01-01

Hyperammonemia is a metabolic condition characterized by elevated levels of ammonia and a common event in acute liver injury/failure and chronic liver disease. Even though hepatic ammonia levels are potential predictive factors of patient outcome, easy and inexpensive methods aiming at the detection of liver ammonia accumulation in the clinical setting remain unavailable. Thus, herein we have developed a morphological method, based on the utilization of Nessler´s reagent, to accurately and precisely detect the accumulation of ammonia in biological tissue. We have validated our method against a commercially available kit in mouse tissue samples and, by using this modified method, we have confirmed the hepatic accumulation of ammonia in clinical and animal models of acute and chronic advanced liver injury as well as in the progression of fatty liver disease. Overall, we propose a morphological method for ammonia detection in liver that correlates well with the degree of liver disease severity and therefore can be potentially used to predict patient outcome.
SAFETY AND TOLERABILITY OF LOW DOSE NALTREXONE THERAPY IN CHILDREN WITH MODERATE TO SEVERE CROHN’S DISEASE: A PILOT STUDY

PubMed Central

Smith, Jill P.; Field, Douglas; Bingaman, Sandra; Evans, Robert; Mauger, David

2012-01-01

Background There is an unmet need for safe and effective medicines to treat children with Crohn’s disease. Recently, investigations have shown an association between endogenous opioid peptides and inflammatory cells. Aims The aims of this study were to evaluate the safety and tolerability of an opioid antagonist, naltrexone, in children with moderate to severe Crohn’s disease. Methods A pilot clinical trial was conducted in children with moderate to severe Crohn’s disease. Fourteen subjects with a mean age of 12.3 years (8–17, range) were enrolled. Children were randomized to placebo or naltrexone 0.1 mg/kg orally for 8 weeks followed by open-labeled treatment with 8 additional weeks of naltrexone. Safety and toxicity were monitored by physical examinations and blood chemistries. Clinical activity was assessed by the PCDAI (Pediatric Crohn’s Disease Activity Index) and Quality of life was monitored by the Impact III survey. Results Oral naltrexone was well tolerated without any serious adverse events in children with moderate to severe Crohn’s disease. PCDAI scores significantly decreased from pretreatment values (34.2±3.3) with an eight-week course of naltrexone therapy (21.7±3.9) (p=0.005). Twenty-five percent of those treated with naltrexone were considered in remission (score < 10) and 67% had improved with mild disease activity (decrease PCDAI score by at least 10 points) at the end of the study. Systemic and social quality of life improved with naltrexone treatment (p=0.035). Conclusions Naltrexone therapy appears safe with limited toxicity when given to children with Crohn’s disease and may reduce disease activity. PMID:23188075
Inflammatory Bowel Disease.

PubMed

2016-01-01

Inflammation response plays an important role in host survival, and it also leads to acute and chronic inflammatory diseases such as rheumatoid arthritis, bowel diseases, allergic rhinitis, asthma, atopic dermatitis and various neurodegenerative diseases. During the course of inflammation, the ROS level increases. In addition to ROS, several inflammatory mediators produced at the site lead to numerous cell-mediated damages. Inflammatory bowel disease (IBD), including ulcerative colitis and Crohn's disease, is a chronic intestinal disorder resulting from a dysfunctional epithelial, innate and adaptive immune response to intestinal microorganisms. The methods involving indomethacin-induced enterocolitis in rats with macroscopic changes of IBD, myeloperoxidase assay, microscopic (histologic) characters and biochemical parameters are discussed.
Role of modern 3D echocardiography in valvular heart disease

PubMed Central

2014-01-01

Three-dimensional (3D) echocardiography has been conceived as one of the most promising methods for the diagnosis of valvular heart disease, and recently has become an integral clinical tool thanks to the development of high quality real-time transesophageal echocardiography (TEE). In particular, for mitral valve diseases, this new approach has proven to be the most unique, powerful, and convincing method for understanding the complicated anatomy of the mitral valve and its dynamism. The method has been useful for surgical management, including robotic mitral valve repair. Moreover, this method has become indispensable for nonsurgical mitral procedures such as edge to edge mitral repair and transcatheter closure of paravaluvular leaks. In addition, color Doppler 3D echo has been valuable to identify the location of the regurgitant orifice and the severity of the mitral regurgitation. For aortic and tricuspid valve diseases, this method may not be quite as valuable as for the mitral valve. However, the necessity of 3D echo is recognized for certain situations even for these valves, such as for evaluating the aortic annulus for transcatheter aortic valve implantation. It is now clear that this method, especially with the continued development of real-time 3D TEE technology, will enhance the diagnosis and management of patients with these valvular heart diseases. PMID:25378966
Drug delivery technologies for autoimmune disease.

PubMed

Phillips, Brett E; Giannoukakis, Nick

2010-11-01

Targeting autoimmune disease poses two main challenges. The first is to identify unique targets to suppress directly or indirectly autoreactive cells exclusively. The second is to penetrate target tissues to deliver specifically drugs to desired cells that can achieve a therapeutic outcome. Herein, the range of drug delivery methods available and under development and how they can be useful to treat autoimmune diseases are discussed. Polymer delivery methods, as well as biological methods that include fusion proteins, targeted antibodies, recombinant viruses and cell products are compared. Readers will gain insight into the progression of clinical trials for different technologies and drug delivery methods useful for targeting and modulating the function of autoreactive immune cells. Several tissue-specific polymer-based and biologic drug delivery systems are now in Phase II/III clinical trials. Although these trials are focused mainly on cancer treatment, lessons from these trials can guide the use of the same agents for autoimmunity therapeutics.
Nano-sized Contrast Agents to Non-Invasively Detect Renal Inflammation by Magnetic Resonance Imaging

PubMed Central

Thurman, Joshua M.; Serkova, Natalie J.

2013-01-01

Several molecular imaging methods have been developed that employ nano-sized contrast agents to detect markers of inflammation within tissues. Renal inflammation contributes to disease progression in a wide range of autoimmune and inflammatory diseases, and a biopsy is currently the only method of definitively diagnosing active renal inflammation. However, the development of new molecular imaging methods that employ contrast agents capable of detecting particular immune cells or protein biomarkers will allow clinicians to evaluate inflammation throughout the kidneys, and to assess a patient's response to immunomodulatory drugs. These imaging tools will improve our ability to validate new therapies and to optimize the treatment of individual patients with existing therapies. This review describes the clinical need for new methods of monitoring renal inflammation, and recent advances in the development of nano-sized contrast agents for detection of inflammatory markers of renal disease. PMID:24206601
"Healthcare seems to vary a lot": A focus group study among parents of children with severe allergy.

PubMed

Lagercrantz, Birgitta; Persson, Åsa; Kull, Inger

2017-09-01

Living with an allergic disease has consequences for both affected children and their families. The aim of this qualitative study was to gain deeper knowledge of what life is like for families of children with severe allergic disease, in order to improve care and thereby reduce the consequences of living with a chronic disease. Four focus group interviews were performed with Swedish parents of children, aged 6-11 and 12-16 years, with severe allergic disease (from one or more allergic conditions, such as food allergy/eczema/hay fever/asthma). The participants were attending a family support weekend. Interviews were analyzed with a qualitative method. Based on parental experiences, the following themes were presented in the analysis: limitations, control, injustices, and fear and anxiety. It was evident that the families lived isolated lives and experienced different kinds of limitations. Parents felt a need to have control of their child's everyday life and described a feeling of constantly being on guard. They also suggested that understanding of the child's allergies was lacking in preschool/school and that healthcare did not provide adequate support. They felt that the same care should be offered to children and families, no matter where they lived. Based on parental experiences, having a child with severe allergic disease implies a need to constantly be on guard. In order to improve the care of children with severe allergy and their families, a more person- and family-centered approach is needed.
Association of GATA2 Deficiency With Severe Primary Epstein-Barr Virus (EBV) Infection and EBV-associated Cancers

PubMed Central

Cohen, Jeffrey I.; Dropulic, Lesia; Hsu, Amy P.; Zerbe, Christa S.; Krogmann, Tammy; Dowdell, Kennichi; Hornung, Ronald L.; Lovell, Jana; Hardy, Nancy; Hickstein, Dennis; Cowen, Edward W.; Calvo, Katherine R.; Pittaluga, Stefania; Holland, Steven M.

2016-01-01

Background. Most patients infected with Epstein-Barr virus (EBV) are asymptomatic, have nonspecific symptoms, or have self-limiting infectious mononucleosis. EBV, however, may result in severe primary disease or cancer. Methods. We report EBV diseases associated with GATA2 deficiency at one institution and describe the hematology, virology, and cytokine findings. Results. Seven patients with GATA2 deficiency developed severe EBV disease. Three presented with EBV infectious mononucleosis requiring hospitalization, 1 had chronic active EBV disease (B-cell type), 1 had EBV-associated hydroa vacciniforme–like lymphoma with hemophagocytic lymphohistiocytosis, and 2 had EBV-positive smooth muscle tumors. Four of the 7 patients had severe warts and 3 had disseminated nontuberculous mycobacterial infections. All of the patients had low numbers of monocytes, B cells, CD4 T cells, and natural killer cells. All had elevated levels of EBV in the blood; 2 of 3 patients tested had expression of the EBV major immediate-early gene in the blood indicative of active EBV lytic infection. Mean plasma levels of tumor necrosis factor α, interferon γ, and interferon gamma-induced protein 10 were higher in patients with GATA2 deficiency than in controls. Conclusions. GATA2 is the first gene associated with EBV hydroa vacciniforme–like lymphoma. GATA2 deficiency should be considered in patients with severe primary EBV infection or EBV-associated cancer, especially in those with disseminated nontuberculous mycobacterial disease and warts. PMID:27169477
Fat Quantification in the Abdomen.

PubMed

Hong, Cheng William; Fazeli Dehkordy, Soudabeh; Hooker, Jonathan C; Hamilton, Gavin; Sirlin, Claude B

2017-12-01

Fatty liver disease is characterized histologically by hepatic steatosis, the abnormal accumulation of lipid in hepatocytes. It is classified into alcoholic fatty liver disease and nonalcoholic fatty liver disease, and is an increasingly important cause of chronic liver disease and cirrhosis. Assessing the severity of hepatic steatosis in these conditions is important for diagnostic and prognostic purposes, as hepatic steatosis is potentially reversible if diagnosed early. The criterion standard for assessing hepatic steatosis is liver biopsy, which is limited by sampling error, its invasive nature, and associated morbidity. As such, noninvasive imaging-based methods of assessing hepatic steatosis are needed. Ultrasound and computed tomography are able to suggest the presence of hepatic steatosis based on imaging features, but are unable to accurately quantify hepatic fat content. Since Dixon's seminal work in 1984, magnetic resonance imaging has been used to compute the signal fat fraction from chemical shift-encoded imaging, commonly implemented as out-of-phase and in-phase imaging. However, signal fat fraction is confounded by several factors that limit its accuracy and reproducibility. Recently, advanced chemical shift-encoded magnetic resonance imaging methods have been developed that address these confounders and are able to measure the proton density fat fraction, a standardized, accurate, and reproducible biomarker of fat content. The use of these methods in the liver, as well as in other abdominal organs such as the pancreas, adrenal glands, and adipose tissue will be discussed in this review.
Perceptual Measures of Speech from Individuals with Parkinson's Disease and Multiple Sclerosis: Intelligibility and beyond

ERIC Educational Resources Information Center

Sussman, Joan E.; Tjaden, Kris

2012-01-01

Purpose: The primary purpose of this study was to compare percent correct word and sentence intelligibility scores for individuals with multiple sclerosis (MS) and Parkinson's disease (PD) with scaled estimates of speech severity obtained for a reading passage. Method: Speech samples for 78 talkers were judged, including 30 speakers with MS, 16…
Impact of Clear, Loud, and Slow Speech on Scaled Intelligibility and Speech Severity in Parkinson's Disease and Multiple Sclerosis

ERIC Educational Resources Information Center

Tjaden, Kris; Sussman, Joan E.; Wilding, Gregory E.

2014-01-01

Purpose: The perceptual consequences of rate reduction, increased vocal intensity, and clear speech were studied in speakers with multiple sclerosis (MS), Parkinson's disease (PD), and healthy controls. Method: Seventy-eight speakers read sentences in habitual, clear, loud, and slow conditions. Sentences were equated for peak amplitude and…
Quality of Life in Patients with Multiple Sclerosis: The Impact of Depression, Fatigue, and Disability

ERIC Educational Resources Information Center

Goksel Karatepe, Altlnay; Kaya, Taciser; Gunaydn, Rezzan; Demirhan, Aylin; Ce, Plnar; Gedizlioglu, Muhtesem

2011-01-01

Aim: The aim of this study was to assess the quality of life (QoL) in patients with multiple sclerosis (MS), and to evaluate its association with disability and psychosocial factors especially depression and fatigue. Methods: Demographic characteristics, education level, disease severity, and disease duration were documented for each patient. QoL,…
Fingerprints: A simple method for Screening Hemophilic Patients.

PubMed

Jamalian, M; Mesri, M; Vishteh, H R K; Solhi, H; Salehpour, R

2014-08-01

The present study aims to compare hemophilic patients' fingerprint types with the normal people to help diagnose the disease, particularly new occurrences of the disease. This case-control study was conducted in 2012. Sixty two patients with hemophilia type A and 62 normal healthy people were selected. The type of fingerprint was determined by a forensic specialist who was kept unaware of the participants' group. Using advanced Henry method, the main types of fingerprints were classified as arch, loop, whorl, as well as other types. In the control group, loop type (65%) and in the case group the whorl type (34%) were the most frequent fingerprint type (p < 0.001) and there was a significant difference of fingerprint in each finger between two groups. In addition, the average number of whorl type in the patients with mild disease was significantly higher and the average number of arch and other types of fingerprints was significantly lower than patients with moderate or severe disease. The findings of the present study indicated that not only are the fingerprints of normal and hemophilic people different, but also a difference was observed between hemophilic patients with the mild factor level and patients with moderate or severe one.
Usefulness of Enzyme-linked Immunosorbent Assay Using Recombinant BP180 and BP230 for Serodiagnosis and Monitoring Disease Activity of Bullous Pemphigoid

PubMed Central

Lee, Eui Hyung; Kim, Yeon Hee; Kim, Sinyoung; Kim, Song-ee

2012-01-01

Background Bullous pemphigoid (BP) is an autoimmune subepidermal bullous disease associated with autoantibodies against BP180 and BP230. Enzyme-linked immunosorbent assay (ELISA) is a sensitive tool for the detection of immunoglobulin G (IgG) anti-BP180 and anti-BP230 autoantibodies. Objective The aim of this study was to evaluate the usefulness of ELISA for diagnosing and monitoring the disease activity of BP. Methods We evaluated serum IgG levels of anti-BP180 and anti-BP230 autoantibodies in 47 BP patients, 16 epidermolysis bullosa aquisita patients, and 15 healthy volunteers using ELISA. Through retrospective review of the medical records, the clinical characteristics of BP including disease activity, duration, pruritus severity and peripheral blood eosinophil counts were assessed. Results The sensitivity of BP180 ELISA was 97.9%, BP230 ELISA 72.3%, and a combination of the two was 100%. The specificity of BP180 ELISA was 90.3%, BP230 ELISA 100%, and a combination of the two was 90.3%. BP180 ELISA scores showed strong associations with disease activity, pruritus severity, peripheral blood eosinophil counts, and disease duration, whereas BP230 ELISA scores did not. Conclusion BP180 and BP230 ELISAs are highly sensitive methods for the diagnosis of BP, and BP180 ELISA, in particular, is a sensitive tool for monitoring the disease activity of BP. PMID:22363155
Mean platelet volume is associated with disease severity in patients with obstructive sleep apnea syndrome

PubMed Central

Akyol, Selahattin; Çörtük, Mustafa; Baykan, Ahmet Oytun; Kiraz, Kemal; Börekçi, Abdurrezzak; Şeker, Taner; Gür, Mustafa; Çayli, Murat

2015-01-01

OBJECTIVE: Obstructive sleep apnea syndrome is associated with cardiovascular diseases and thromboembolic events. The mean platelet volume (MPV) is a predictor of cardiovascular thromboembolic events. The aim of the present study is to investigate the association between the MPV and disease severity in patients with obstructive sleep apnea syndrome. METHODS: We prospectively included 194 obstructive sleep apnea syndrome patients without cardiovascular disease (mean age 56.5±12.5 years) who were undergoing sleep tests. An overnight full laboratory polisomnography examination was conducted on each patient. The patients were divided into 3 groups according to the apnea-hypopnea index (AHI): (1) AHIlow group: 5≤AHI<15, (2) AHImid group: 1530. RESULTS: The highest MPV values were found in the AHIhigh group compared with other groups (p<0.05 for all). Multiple linear regression analysis indicated that the MPV was associated with the AHI (β=0.500, p<0.001) and the high sensitivity C-reactive protein (hs-CRP) level (β=0.194, p=0.010). CONCLUSION: The MPV is independently associated with both disease severity and inflammation in patients with obstructive sleep apnea syndrome. PMID:26222817
Sex, Aging, and Preexisting Cerebral Ischemic Disease in Patients With Aortic Stenosis

PubMed Central

Wang, Ping; Acker, Michael A.; Bilello, Michel; Melhem, Elias R.; Stambrook, Elizabeth; Ratcliffe, Sarah J.; Floyd, Thomas F.

2011-01-01

Background Patients undergoing cardiac surgery have a high frequency of preexisting cerebral ischemic lesions, the presence of which appears to predict cognitive sequelae. Patients undergoing aortic valve replacement for aortic stenosis (AS) incur an exceptionally high risk for perioperative cerebral ischemia. The extreme risk in this subgroup may arise from the preexisting burden of cerebral ischemic disease. We tested the hypotheses that increasing age, female sex, coronary artery disease, and the severity of AS are predictive of the severity of preexisting cerebral ischemic lesions. Methods A total of 95 subjects were included in this study. Subjects were imaged on 1.5 Tesla magnetic resonance imaging scanners to obtain multimodal image sets which were used for the automatic segmentation of cerebral lesion volume. The dependence of lesion volume upon age, sex, coronary artery disease, and the severity of AS were tested. Results The results demonstrate a strong correlation between aging, female sex, and white matter and ischemia-like lesion volume in patients with aortic stenosis. Conclusions Women and those of advanced age presenting for aortic valve replacement for AS may incur a particularly high risk for postoperative neurologic sequelae due to an exceptional preexisting burden of cerebral ischemic disease. PMID:20868818
Land use change and human health

NASA Astrophysics Data System (ADS)

Patz, Jonathan A.; Norris, Douglas E.

Disease emergence events have been documented following several types of land use change. This chapter reviews several health-relevant land use changes recognized today, including: 1) urbanization and urban sprawl; 2) water projects and agricultural development; 3) road construction and deforestation in the tropics; and 4) regeneration of temperate forests. Because habitat or climatic change substantially affects intermediate invertebrate hosts involved in many prevalent diseases, this chapter provides a basic description of vector-borne disease biology as a foundation for analyzing the effects of land use change. Urban sprawl poses health challenges stemming from heat waves exacerbated by the "urban heat island" effect, as well as from water contamination due to expanses of impervious road and concrete surfaces. Dams, irrigation and agricultural development have long been associated with diseases such as schistosomiasis and filariasis. Better management methods are required to address the trade-offs between expanded food production and altered habitats promoting deadly diseases. Deforestation can increase the nature and number of breeding sites for vector-borne diseases, such as malaria and onchocerciasis. Human host and disease vector interaction further increases risk, as can a change in arthropod-vector species composition.
Segmentation and classification of dermatological lesions

NASA Astrophysics Data System (ADS)

Sáez, Aurora; Acha, Begoña; Serrano, Carmen

2010-03-01

Certain skin diseases are chronic, inflammatory and without cure. However, there are many treatment options that can clear them for a period of time. Measuring their severity and assessing their extent, is a fundamental issue to determine the efficacy of the treatment under test. Two of the most important parameters of severity assessment are Erythema (redness) and Scaliness. Physicians classify these parameters into several grades by visual grading method. In this paper a color image segmentation and classification algorithm is developed to obtain an assessment of erythema and scaliness of dermatological lesions. Color digital photographs taken under an acquisition protocol form the database. Difference between green band and blue band of images in RGB color space shows two modes (healthy skin and lesion) with clear separation. Otsu's method is applied to this difference in order to isolate the lesion. After the skin disease is segmented, some color and texture features are calculated and they are the inputs to a Fuzzy-ARTMAP neural network. The neural network classifies them into the five grades of erythema and the five grades of scaliness. The method has been tested with 31 images with a success percentage of 83.87 % when the images are classified in erythema, and 77.42 % for scaliness classification.
A rapid echocardiographic screening protocol for rheumatic heart disease in Samoa: a high prevalence of advanced disease.

PubMed

Allen, Marvin; Allen, John; Naseri, Take; Gardner, Rebecca; Tolley, Dennis; Allen, Lori

2017-10-01

Echocardiography has been proposed as a method to screen children for rheumatic heart disease. The World Heart Federation has established guidelines for echocardiographic screening. In this study, we describe a rapid echocardiogram screening protocol according to the World Heart Federation guidelines in Samoa, endemic for rheumatic heart disease. We performed echocardiogram screening in schoolchildren in Samoa between 2013 and 2015. A brief screening echocardiogram was performed on all students. Children with predefined criteria suspicious for rheumatic hear diseases were referred for a more comprehensive echocardiogram. Complete echocardiograms were classified according to the World Heart Federation guidelines and severity of valve disease. Echocardiographic screening was performed on 11,434 children, with a mean age of 10.2 years; 51% of them were females. A total of 558 (4.8%) children underwent comprehensive echocardiography, including 49 students who were randomly selected as controls. Definite rheumatic heart disease was observed in 115 students (10.0 per 1000): 92 students were classified as borderline (8.0 per 1000) and 23 with CHD. Advanced disease was identified in 50 students (4.4 per 1000): 15 with severe mitral regurgitation, five with severe aortic regurgitation, 11 with mitral stenoses, and 19 with mitral and aortic valve disease. We successfully applied a rapid echocardiographic screening protocol to a large number of students over a short time period - 28 days of screening over a 3-year time period - to identify a high prevalence of rheumatic heart disease. We also reported a significantly higher rate of advanced disease compared with previously published echocardiographic screening programmes.

Optical Microangiography Based on Optical Coherence Tomography

NASA Astrophysics Data System (ADS)

Reif, Roberto; Wang, Ruikang K.

Proper homeostasis regulation of in vivo biological systems requires microvascular blood perfusion, which is the process of delivering blood into the tissue's capillary beds. Abnormal tissue vascularization has been associated with various diseases such as cancer, diabetes, neurological disorders, wounds, and inflammation. Understanding the changes in the vascular network or microangiography will have an important role in determining the causes and developing potential treatments for these diseases. Optical coherence tomography (OCT) is a noninvasive method for imaging three-dimensional biological tissues with high resolution (~10 µm) and without requiring the use of contrast agents. In this chapter we review several techniques for using OCT to determine blood flow velocities and the vessel morphology (optical microangiography). Different techniques will be discussed with a brief explanation of their limitations. Also, methods for quantifying these images are presented, as well as the depiction of several applications.
The importance of echocardiography in transcatheter aortic valve implantation.

PubMed

Bilen, Emine; Sari, Cenk; Durmaz, Tahir; Keleş, Telat; Bayram, Nihal A; Akçay, Murat; Ayhan, Hüseyin M; Bozkurt, Engin

2014-01-01

Valvular heart diseases cause serious health problems in Turkey as well as in Western countries. According to a study conducted in Turkey, aortic stenosis (AS) is second after mitral valve disease among all valvular heart diseases. AS is frequently observed in elderly patients who have several cardiovascular risk factors and comorbidities. In symptomatic severe AS, surgical aortic valve replacement (AVR) is a definitive treatment. However, in elderly patients with left ventricular dysfunction and comorbidities, the risk of operative morbidity and mortality increases and outweighs the gain obtained from AVR surgery. As a result, almost one-third of the patients with serious AS are considered ineligible for surgery. Transcatheter aortic valve implantation (TAVI) is an effective treatment in patients with symptomatic severe AS who have high risk for conventional surgery. Since being performed for the first time in 2002, with a procedure success rate reported as 95% and a mortality rate of 5%, TAVI has become a promising method. Assessment of vascular anatomy, aortic annular diameter, and left ventricular function may be useful for the appropriate selection of patients and may reduce the risk of complications. Cardiac imaging methods including 2D and 3D echocardiography and multidetector computed tomography are critical during the evaluation of suitable patients for TAVI as well as during and after the procedure. In this review, we describe the role of echocardiography methods in clinical practice for TAVI procedure in its entirety, i.e. from patient selection to guidance during the procedure, and subsequent monitoring. © 2013, Wiley Periodicals, Inc.
Digital diagnosis of medical images

NASA Astrophysics Data System (ADS)

Heinonen, Tomi; Kuismin, Raimo; Jormalainen, Raimo; Dastidar, Prasun; Frey, Harry; Eskola, Hannu

2001-08-01

The popularity of digital imaging devices and PACS installations has increased during the last years. Still, images are analyzed and diagnosed using conventional techniques. Our research group begun to study the requirements for digital image diagnostic methods to be applied together with PACS systems. The research was focused on various image analysis procedures (e.g., segmentation, volumetry, 3D visualization, image fusion, anatomic atlas, etc.) that could be useful in medical diagnosis. We have developed Image Analysis software (www.medimag.net) to enable several image-processing applications in medical diagnosis, such as volumetry, multimodal visualization, and 3D visualizations. We have also developed a commercial scalable image archive system (ActaServer, supports DICOM) based on component technology (www.acta.fi), and several telemedicine applications. All the software and systems operate in NT environment and are in clinical use in several hospitals. The analysis software have been applied in clinical work and utilized in numerous patient cases (500 patients). This method has been used in the diagnosis, therapy and follow-up in various diseases of the central nervous system (CNS), respiratory system (RS) and human reproductive system (HRS). In many of these diseases e.g. Systemic Lupus Erythematosus (CNS), nasal airways diseases (RS) and ovarian tumors (HRS), these methods have been used for the first time in clinical work. According to our results, digital diagnosis improves diagnostic capabilities, and together with PACS installations it will become standard tool during the next decade by enabling more accurate diagnosis and patient follow-up.
Congenital Heart Disease: Causes, Diagnosis, Symptoms, and Treatments.

PubMed

Sun, RongRong; Liu, Min; Lu, Lei; Zheng, Yi; Zhang, Peiying

2015-07-01

The congenital heart disease includes abnormalities in heart structure that occur before birth. Such defects occur in the fetus while it is developing in the uterus during pregnancy. About 500,000 adults have congenital heart disease in USA (WebMD, Congenital heart defects medications, www.WebMD.com/heart-disease/tc/congenital-heart-defects-medications , 2014). 1 in every 100 children has defects in their heart due to genetic or chromosomal abnormalities, such as Down syndrome. The excessive alcohol consumption during pregnancy and use of medications, maternal viral infection, such as Rubella virus, measles (German), in the first trimester of pregnancy, all these are risk factors for congenital heart disease in children, and the risk increases if parent or sibling has a congenital heart defect. These are heart valves defects, atrial and ventricular septa defects, stenosis, the heart muscle abnormalities, and a hole inside wall of the heart which causes defect in blood circulation, heart failure, and eventual death. There are no particular symptoms of congenital heart disease, but shortness of breath and limited ability to do exercise, fatigue, abnormal sound of heart as heart murmur, which is diagnosed by a physician while listening to the heart beats. The echocardiogram or transesophageal echocardiogram, electrocardiogram, chest X-ray, cardiac catheterization, and MRI methods are used to detect congenital heart disease. Several medications are given depending on the severity of this disease, and catheter method and surgery are required for serious cases to repair heart valves or heart transplantation as in endocarditis. For genetic study, first DNA is extracted from blood followed by DNA sequence analysis and any defect in nucleotide sequence of DNA is determined. For congenital heart disease, genes in chromosome 1 show some defects in nucleotide sequence. In this review the causes, diagnosis, symptoms, and treatments of congenital heart disease are described.
Gastroesophageal Reflux in Neurologically Impaired Children: What Are the Risk Factors?

PubMed

Kim, Seung; Koh, Hong; Lee, Joon Soo

2017-03-15

Neurologically impaired patients frequently suffer from gastrointestinal tract problems, such as gastroesophageal reflux disease (GERD). In this study, we aimed to define the risk factors for GERD in neurologically impaired children. From May 2006 to March 2014, 101 neurologically impaired children who received 24-hour esophageal pH monitoring at Severance Children's Hospital were enrolled in the study. The esophageal pH finding and the clinical characteristics of the patients were analyzed. The reflux index was higher in patients with abnormal electroencephalography (EEG) results than in those with normal EEG results (p=0.027). Mitochondrial disease was associated with a higher reflux index than were epileptic disorders or cerebral palsy (p=0.009). Patient gender, feeding method, scoliosis, tracheostomy, and baclofen use did not lead to statistical differences in reflux index. Age of onset of neurological impairment was inversely correlated with DeMeester score and reflux index. Age at the time of examination, the duration of the disease, and the number of antiepileptic drugs were not correlated with GER severity. Early-onset neurological impairment, abnormal EEG results, and mitochondrial disease are risk factors for severe GERD.
Assessment of nutritional status in patients with Parkinson's disease and its relationship with severity of the disease.

PubMed

Shidfar, Farzad; Babaii Darabkhani, Peivand; Yazdanpanah, Leila; Karkheiran, Siamak; Noorollahi-Moghaddam, Hamid; Haghani, Hamid

2016-01-01

Background: Malnutrition, loss of body weight, muscle and fat mass wasting are common in patients with Parkinson's disease, and are associated with disability, longer length of hospital stay, impaired immune system and increased risk of mortality. The aim of this study was to assess the nutritional status in patients with Parkinson's disease and its relation to the severity of the disease. Methods: This cross- sectional study was conducted on 130 patients with Parkinson's disease, with a mean (SD) age of 59.1 (12.9) years in disease stages of 1 to 4. In this study, the Mini Nutritional Assessment (MNA) questionnaire was used along with anthropometric measurements (Body Mass Index (BMI), Mid-arm circumference (MAC), Calf Circumference (CC)) to evaluate the nutritional status, and they were applied by a trained nutritionist. Hoehn and Yahr Scale were used to determine the severity of the disease. One-way ANOVA test was used to assess the relationship between anthropometric indices, nutritional status and severity of disease. Assessment of the relationship between age, duration of disease and nutritional status was categorized according to MNA score, and was performed, using one-way ANOVA. Chi - Square test was utilized to assess the relationship between education level and nutritional status. SPSS Version 18 was used for data analysis. Results: In this study, 30% (n=39) of the participants were diagnosed with normal nutritional status, 58.5% (n=76) were at risk of malnutrition and 11.5% (n=15) were malnourished according to MNA. Reduction of weight, and muscle mass wasting was observed in different disease stages. Muscle mass wasting and worsening nutritional status, based on MNA score, showed a significant increase as the disease progressed, MAC (p=0.009), MNA score (p<0.001). After assessing the relationship between education level, age, duration of disease with nutritional status, the results revealed a significant relationship between age (p=0.008), education level (p<0.001) with nutritional status according to MNA score. Conclusion: Reduction of BMI, depletion of muscle mass, and worsening of nutritional status according to MNA, was observed in many patients along with an increase in the severity of the disease. Assessing nutritional status in those with Parkinson's disease to provide information to identify necessary nutritional intervention is highly recommended.
A new scoring system in Cystic Fibrosis: statistical tools for database analysis - a preliminary report.

PubMed

Hafen, G M; Hurst, C; Yearwood, J; Smith, J; Dzalilov, Z; Robinson, P J

2008-10-05

Cystic fibrosis is the most common fatal genetic disorder in the Caucasian population. Scoring systems for assessment of Cystic fibrosis disease severity have been used for almost 50 years, without being adapted to the milder phenotype of the disease in the 21st century. The aim of this current project is to develop a new scoring system using a database and employing various statistical tools. This study protocol reports the development of the statistical tools in order to create such a scoring system. The evaluation is based on the Cystic Fibrosis database from the cohort at the Royal Children's Hospital in Melbourne. Initially, unsupervised clustering of the all data records was performed using a range of clustering algorithms. In particular incremental clustering algorithms were used. The clusters obtained were characterised using rules from decision trees and the results examined by clinicians. In order to obtain a clearer definition of classes expert opinion of each individual's clinical severity was sought. After data preparation including expert-opinion of an individual's clinical severity on a 3 point-scale (mild, moderate and severe disease), two multivariate techniques were used throughout the analysis to establish a method that would have a better success in feature selection and model derivation: 'Canonical Analysis of Principal Coordinates' and 'Linear Discriminant Analysis'. A 3-step procedure was performed with (1) selection of features, (2) extracting 5 severity classes out of a 3 severity class as defined per expert-opinion and (3) establishment of calibration datasets. (1) Feature selection: CAP has a more effective "modelling" focus than DA.(2) Extraction of 5 severity classes: after variables were identified as important in discriminating contiguous CF severity groups on the 3-point scale as mild/moderate and moderate/severe, Discriminant Function (DF) was used to determine the new groups mild, intermediate moderate, moderate, intermediate severe and severe disease. (3) Generated confusion tables showed a misclassification rate of 19.1% for males and 16.5% for females, with a majority of misallocations into adjacent severity classes particularly for males. Our preliminary data show that using CAP for detection of selection features and Linear DA to derive the actual model in a CF database might be helpful in developing a scoring system. However, there are several limitations, particularly more data entry points are needed to finalize a score and the statistical tools have further to be refined and validated, with re-running the statistical methods in the larger dataset.
Cardiac gene therapy: Recent advances and future directions.

PubMed

Mason, Daniel; Chen, Yu-Zhe; Krishnan, Harini Venkata; Sant, Shilpa

2015-10-10

Gene therapy has the potential to serve as an adaptable platform technology for treating various diseases. Cardiovascular disease is a major cause of mortality in the developed world and genetic modification is steadily becoming a more plausible method to repair and regenerate heart tissue. Recently, new gene targets to treat cardiovascular disease have been identified and developed into therapies that have shown promise in animal models. Some of these therapies have advanced to clinical testing. Despite these recent successes, several barriers must be overcome for gene therapy to become a widely used treatment of cardiovascular diseases. In this review, we evaluate specific genetic targets that can be exploited to treat cardiovascular diseases, list the important delivery barriers for the gene carriers, assess the most promising methods of delivering the genetic information, and discuss the current status of clinical trials involving gene therapies targeted to the heart. Copyright © 2015 Elsevier B.V. All rights reserved.
Development of SCAR markers and UP-PCR cross-hybridization method for specific detection of four major subgroups of Rhizoctonia from infected turfgrasses

USDA-ARS?s Scientific Manuscript database

Several species and hyphal anastomosis groups (AG) of Rhizoctonia solani (sensu lato) cause brown patch diseases of turfgrasses. Conventional methods of identification of Rhizoctonia pathogens are time consuming and often inaccurate. A rapid identification assay for Waitea circinata (anamorph: Rhizo...
To Control False Positives in Gene-Gene Interaction Analysis: Two Novel Conditional Entropy-Based Approaches

PubMed Central

Lin, Meihua; Li, Haoli; Zhao, Xiaolei; Qin, Jiheng

2013-01-01

Genome-wide analysis of gene-gene interactions has been recognized as a powerful avenue to identify the missing genetic components that can not be detected by using current single-point association analysis. Recently, several model-free methods (e.g. the commonly used information based metrics and several logistic regression-based metrics) were developed for detecting non-linear dependence between genetic loci, but they are potentially at the risk of inflated false positive error, in particular when the main effects at one or both loci are salient. In this study, we proposed two conditional entropy-based metrics to challenge this limitation. Extensive simulations demonstrated that the two proposed metrics, provided the disease is rare, could maintain consistently correct false positive rate. In the scenarios for a common disease, our proposed metrics achieved better or comparable control of false positive error, compared to four previously proposed model-free metrics. In terms of power, our methods outperformed several competing metrics in a range of common disease models. Furthermore, in real data analyses, both metrics succeeded in detecting interactions and were competitive with the originally reported results or the logistic regression approaches. In conclusion, the proposed conditional entropy-based metrics are promising as alternatives to current model-based approaches for detecting genuine epistatic effects. PMID:24339984
Use of Systematic Methods to Improve Disease Identification in Administrative Data: The Case of Severe Sepsis.

PubMed

Shahraz, Saeid; Lagu, Tara; Ritter, Grant A; Liu, Xiadong; Tompkins, Christopher

2017-03-01

Selection of International Classification of Diseases (ICD)-based coded information for complex conditions such as severe sepsis is a subjective process and the results are sensitive to the codes selected. We use an innovative data exploration method to guide ICD-based case selection for severe sepsis. Using the Nationwide Inpatient Sample, we applied Latent Class Analysis (LCA) to determine if medical coders follow any uniform and sensible coding for observations with severe sepsis. We examined whether ICD-9 codes specific to sepsis (038.xx for septicemia, a subset of 995.9 codes representing Systemic Inflammatory Response syndrome, and 785.52 for septic shock) could all be members of the same latent class. Hospitalizations coded with sepsis-specific codes could be assigned to a latent class of their own. This class constituted 22.8% of all potential sepsis observations. The probability of an observation with any sepsis-specific codes being assigned to the residual class was near 0. The chance of an observation in the residual class having a sepsis-specific code as the principal diagnosis was close to 0. Validity of sepsis class assignment is supported by empirical results, which indicated that in-hospital deaths in the sepsis-specific class were around 4 times as likely as that in the residual class. The conventional methods of defining severe sepsis cases in observational data substantially misclassify sepsis cases. We suggest a methodology that helps reliable selection of ICD codes for conditions that require complex coding.
Dynamic Measurement of Disease Activity in Acute Pancreatitis: The Pancreatitis Activity Scoring System.

PubMed

Wu, Bechien U; Batech, Michael; Quezada, Michael; Lew, Daniel; Fujikawa, Kelly; Kung, Jonathan; Jamil, Laith H; Chen, Wansu; Afghani, Elham; Reicher, Sonya; Buxbaum, James; Pandol, Stephen J

2017-07-01

Acute pancreatitis has a highly variable course. Currently there is no widely accepted method to measure disease activity in patients hospitalized for acute pancreatitis. We aimed to develop a clinical activity index that incorporates routine clinical parameters to assist in the measurement, study, and management of acute pancreatitis. We used the UCLA/RAND appropriateness method to identify items for inclusion in the disease activity instrument. We conducted a systematic literature review followed by two sets of iterative modified Delphi meetings including a panel of international experts between November 2014 and November 2015. The final instrument was then applied to patient data obtained from five separate study cohorts across Southern California to assess profiles of disease activity. From a list of 35 items comprising 6 domains, we identified 5 parameters for inclusion in the final weighted clinical activity scoring system: organ failure, systemic inflammatory response syndrome, abdominal pain, requirement for opiates and ability to tolerate oral intake. We applied the weighted scoring system across the 5 study cohorts comprising 3,123 patients. We identified several distinct patterns of disease activity: (i) overall there was an elevated score at baseline relative to discharge across all study cohorts, (ii) there were distinct patterns of disease activity related to duration of illness as well as (iii) early and persistent elevation of disease activity among patients with severe acute pancreatitis defined as persistent organ failure. We present the development and initial validation of a clinical activity score for real-time assessment of disease activity in patients with acute pancreatitis.
Quantitative Pulmonary Imaging Using Computed Tomography and Magnetic Resonance Imaging

PubMed Central

Washko, George R.; Parraga, Grace; Coxson, Harvey O.

2011-01-01

Measurements of lung function, including spirometry and body plethesmography, are easy to perform and are the current clinical standard for assessing disease severity. However, these lung functional techniques do not adequately explain the observed variability in clinical manifestations of disease and offer little insight into the relationship of lung structure and function. Lung imaging and the image based assessment of lung disease has matured to the extent that it is common for clinical, epidemiologic, and genetic investigation to have a component dedicated to image analysis. There are several exciting imaging modalities currently being used for the non-invasive study of lung anatomy and function. In this review we will focus on two of them, x-ray computed tomography and magnetic resonance imaging. Following a brief introduction of each method we detail some of the most recent work being done to characterize smoking-related lung disease and the clinical applications of such knowledge. PMID:22142490
Vital signs, QT prolongation, and newly diagnosed cardiovascular disease during severe hypoglycemia in type 1 and type 2 diabetic patients.

PubMed

Tsujimoto, Tetsuro; Yamamoto-Honda, Ritsuko; Kajio, Hiroshi; Kishimoto, Miyako; Noto, Hiroshi; Hachiya, Remi; Kimura, Akio; Kakei, Masafumi; Noda, Mitsuhiko

2014-01-01

OBJECTIVE To assess vital signs, QT intervals, and newly diagnosed cardiovascular disease during severe hypoglycemia in diabetic patients. RESEARCH DESIGN AND METHODS From January 2006 to March 2012, we conducted a retrospective cohort study to assess type 1 and type 2 diabetic patients with severe hypoglycemia at a national center in Japan. Severe hypoglycemia was defined as the presence of any hypoglycemic symptoms that could not be resolved by the patients themselves in prehospital settings. RESULTS A total of 59,602 cases that visited the emergency room by ambulance were screened, and 414 cases of severe hypoglycemia were analyzed. The median (interquartile range) blood glucose levels were not significantly different between the type 1 diabetes mellitus (T1DM) (n = 88) and type 2 diabetes mellitus (T2DM) (n = 326) groups (32 [24-42] vs. 31 [24-39] mg/dL, P = 0.59). During severe hypoglycemia, the incidences of severe hypertension (≥180/120 mmHg), hypokalemia (<3.5 mEq/L), and QT prolongation were 19.8 and 38.8% (P = 0.001), 42.4 and 36.3% (P = 0.30), and 50.0 and 59.9% (P = 0.29) in the T1DM and T2DM groups, respectively. Newly diagnosed cardiovascular disease during severe hypoglycemia and death were only observed in the T2DM group (1.5 and 1.8%, respectively). Blood glucose levels between the deceased and surviving patients in the T2DM group were significantly different (18 [14-33] vs. 31 [24-39] mg/dL, P = 0.02). CONCLUSIONS T1DM and T2DM patients with severe hypoglycemia experienced many critical problems that could lead to cardiovascular disease, fatal arrhythmia, and death.
A Retrospective Review of Treatment Results for Patients With Central Centrifugal Cicatrical Alopecia.

PubMed

Eginli, Ariana; Dothard, Emily; Bagayoko, Courtney W; Huang, Karen; Daniel, Alyssa; McMichael, Amy J

2017-04-01

INTRODUCTION: Central centrifugal cicatricial alopecia (CCCA) is a form of scarring alopecia primarily affecting women of African descent on the crown of the scalp. Limited data exists regarding evidence-based treatment for CCCA.

OBJECTIVE: To examine photos of subjects with CCCA before and after treatment in order to evaluate results of treatment and compare results of different treatment regimens.

METHODS: Photographs of 15 subjects with CCCA before and after treatment were evaluated by two blinded investigators who assigned disease severity scores to photographs based on a published scale: Central Scalp Alopecia Photographic Scale in African American Women.

RESUTLS: Median change in severity score (post-treatment severity score - pre-treatment severity score) was 0.5 (P = 0.58) for all 15 subjects receiving a series of 7 to 8 intralesional steroid injections along with topical steroids (Class I/II) +/- minoxidil and +/- anti-dandruff shampoo, indicating worsening of disease after treatment. Subjects receiving minoxidil versus those who did not (0.25 vs 0.5; P = 0.38) and subjects receiving anti-dandruff shampoo versus those who did not (0.0 vs 0.5; P = 0.42) demonstrated no statistically significant difference in pre- and post-treatment severity scores. Of 15 subjects, 5/15 (33.3%) had decreased severity scores, 8/15 (53.3%) had increased severity scores, and 2/15 (13.3%) had no change in severity scores.

CONCLUSIONS: Although no statistically significant difference was found in pre- versus post-treatment disease severity, this may indicate intralesional steroid injections and topical steroids +/- minoxidil and +/- anti-dandruff shampoo halt disease progression.

J Drugs Dermatol. 2017;16(4):317-320.
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A comparative analysis of chaotic particle swarm optimizations for detecting single nucleotide polymorphism barcodes.

PubMed

Chuang, Li-Yeh; Moi, Sin-Hua; Lin, Yu-Da; Yang, Cheng-Hong

2016-10-01

Evolutionary algorithms could overcome the computational limitations for the statistical evaluation of large datasets for high-order single nucleotide polymorphism (SNP) barcodes. Previous studies have proposed several chaotic particle swarm optimization (CPSO) methods to detect SNP barcodes for disease analysis (e.g., for breast cancer and chronic diseases). This work evaluated additional chaotic maps combined with the particle swarm optimization (PSO) method to detect SNP barcodes using a high-dimensional dataset. Nine chaotic maps were used to improve PSO method results and compared the searching ability amongst all CPSO methods. The XOR and ZZ disease models were used to compare all chaotic maps combined with PSO method. Efficacy evaluations of CPSO methods were based on statistical values from the chi-square test (χ 2 ). The results showed that chaotic maps could improve the searching ability of PSO method when population are trapped in the local optimum. The minor allele frequency (MAF) indicated that, amongst all CPSO methods, the numbers of SNPs, sample size, and the highest χ 2 value in all datasets were found in the Sinai chaotic map combined with PSO method. We used the simple linear regression results of the gbest values in all generations to compare the all methods. Sinai chaotic map combined with PSO method provided the highest β values (β≥0.32 in XOR disease model and β≥0.04 in ZZ disease model) and the significant p-value (p-value<0.001 in both the XOR and ZZ disease models). The Sinai chaotic map was found to effectively enhance the fitness values (χ 2 ) of PSO method, indicating that the Sinai chaotic map combined with PSO method is more effective at detecting potential SNP barcodes in both the XOR and ZZ disease models. Copyright © 2016 Elsevier B.V. All rights reserved.
Self-Reported Pain Intensity with the Numeric Reporting Scale in Adult Dengue

PubMed Central

Wong, Joshua G. X.; Gan, Victor C.; Ng, Ee-Ling; Leo, Yee-Sin; Chan, Siew-Pang; Choo, Robin; Lye, David C.

2014-01-01

Background Pain is a prominent feature of acute dengue as well as a clinical criterion in World Health Organization guidelines in diagnosing dengue. We conducted a prospective cohort study to compare levels of pain during acute dengue between different ethnicities and dengue severity. Methods Demographic, clinical and laboratory data were collected. Data on self-reported pain was collected using the 11-point Numerical Rating Scale. Generalized structural equation models were built to predict progression to severe disease. Results A total of 499 laboratory confirmed dengue patients were recruited in the Prospective Adult Dengue Study at Tan Tock Seng Hospital, Singapore. We found no statistically significant differences between pain score with age, gender, ethnicity or the presence of co-morbidity. Pain score was not predictive of dengue severity but highly correlated to patients’ day of illness. Prevalence of abdominal pain in our cohort was 19%. There was no difference in abdominal pain score between grades of dengue severity. Conclusion Dengue is a painful disease. Patients suffer more pain at the earlier phase of illness. However, pain score cannot be used to predict a patient’s progression to severe disease. PMID:24788828
Integrative Computational Network Analysis Reveals Site-Specific Mediators of Inflammation in Alzheimer's Disease

PubMed Central

Ravichandran, Srikanth; Michelucci, Alessandro; del Sol, Antonio

2018-01-01

Alzheimer's disease (AD) is a major neurodegenerative disease and is one of the most common cause of dementia in older adults. Among several factors, neuroinflammation is known to play a critical role in the pathogenesis of chronic neurodegenerative diseases. In particular, studies of brains affected by AD show a clear involvement of several inflammatory pathways. Furthermore, depending on the brain regions affected by the disease, the nature and the effect of inflammation can vary. Here, in order to shed more light on distinct and common features of inflammation in different brain regions affected by AD, we employed a computational approach to analyze gene expression data of six site-specific neuronal populations from AD patients. Our network based computational approach is driven by the concept that a sustained inflammatory environment could result in neurotoxicity leading to the disease. Thus, our method aims to infer intracellular signaling pathways/networks that are likely to be constantly activated or inhibited due to persistent inflammatory conditions. The computational analysis identified several inflammatory mediators, such as tumor necrosis factor alpha (TNF-a)-associated pathway, as key upstream receptors/ligands that are likely to transmit sustained inflammatory signals. Further, the analysis revealed that several inflammatory mediators were mainly region specific with few commonalities across different brain regions. Taken together, our results show that our integrative approach aids identification of inflammation-related signaling pathways that could be responsible for the onset or the progression of AD and can be applied to study other neurodegenerative diseases. Furthermore, such computational approaches can enable the translation of clinical omics data toward the development of novel therapeutic strategies for neurodegenerative diseases. PMID:29551980
Integrative Computational Network Analysis Reveals Site-Specific Mediators of Inflammation in Alzheimer's Disease.

PubMed

Ravichandran, Srikanth; Michelucci, Alessandro; Del Sol, Antonio

2018-01-01

Alzheimer's disease (AD) is a major neurodegenerative disease and is one of the most common cause of dementia in older adults. Among several factors, neuroinflammation is known to play a critical role in the pathogenesis of chronic neurodegenerative diseases. In particular, studies of brains affected by AD show a clear involvement of several inflammatory pathways. Furthermore, depending on the brain regions affected by the disease, the nature and the effect of inflammation can vary. Here, in order to shed more light on distinct and common features of inflammation in different brain regions affected by AD, we employed a computational approach to analyze gene expression data of six site-specific neuronal populations from AD patients. Our network based computational approach is driven by the concept that a sustained inflammatory environment could result in neurotoxicity leading to the disease. Thus, our method aims to infer intracellular signaling pathways/networks that are likely to be constantly activated or inhibited due to persistent inflammatory conditions. The computational analysis identified several inflammatory mediators, such as tumor necrosis factor alpha (TNF-a)-associated pathway, as key upstream receptors/ligands that are likely to transmit sustained inflammatory signals. Further, the analysis revealed that several inflammatory mediators were mainly region specific with few commonalities across different brain regions. Taken together, our results show that our integrative approach aids identification of inflammation-related signaling pathways that could be responsible for the onset or the progression of AD and can be applied to study other neurodegenerative diseases. Furthermore, such computational approaches can enable the translation of clinical omics data toward the development of novel therapeutic strategies for neurodegenerative diseases.
Plus Disease in Retinopathy of Prematurity: Diagnostic Trends in 2016 vs. 2007

PubMed Central

Moleta, Chace; Campbell, J. Peter; Kalpathy-Cramer, Jayashree; Chan, RV Paul; Ostmo, Susan; Jonas, Karyn; Chiang, Michael F.

2017-01-01

Purpose To identify any temporal trends in the diagnosis of plus disease in retinopathy of prematurity (ROP) by experts. Design Reliability analysis Methods ROP experts were recruited in 2007 and 2016 to classify 34 wide-field fundus images of ROP as plus, pre-plus, or normal, coded as “3,” “2,” and “1” respectively in the database. The main outcome was the average calculated score for each image in each cohort. Secondary outcomes included correlation on the relative ordering of the images in 2016 versus 2007, inter-expert agreement, and intra-expert agreement Results The average score for each image was higher for 30/34 (88%) images in 2016 compared to 2007, influenced by fewer images classified as normal (P<0.01), a similar number of pre-plus (P=0.52), and more classified as plus (P<0.01). The mean weighted kappa values in 2006 were 0.36 (range 0.21 – 0.60) compared to 0.22 (range 0 – 0.40) in 2016. There was good correlation between rankings of disease severity between the two cohorts (Spearman’s rank correlation ρ=0.94) indicating near-perfect agreement on relative disease severity. Conclusions Despite good agreement between cohorts on relative disease severity ranking, the higher average score and classifications for each image demonstrate that experts are diagnosing pre-plus and plus disease at earlier stages of disease severity in 2016, compared with 2007. This has implications for patient care, research, and teaching, and additional studies are needed to better understand this temporal trend in image-based plus disease diagnosis. PMID:28087400

Severity of Respiratory Syncytial Virus Lower Respiratory Tract Infection With Viral Coinfection in HIV-Uninfected Children

PubMed Central

Mazur, Natalie I.; Bont, Louis; Cohen, Adam L.; Cohen, Cheryl; von Gottberg, Anne; Groome, Michelle J.; Hellferscee, Orienka; Klipstein-Grobusch, Kerstin; Mekgoe, Omphile; Naby, Fathima; Moyes, Jocelyn; Tempia, Stefano; Treurnicht, Florette K.; Venter, Marietje; Walaza, Sibongile; Wolter, Nicole; Madhi, Shabir A.

2017-01-01

Background Molecular diagnostics enable sensitive detection of respiratory viruses, but their clinical significance remains unclear in pediatric lower respiratory tract infection (LRTI). We aimed to determine whether viral coinfections increased life-threatening disease in a large cohort. Methods Molecular testing was performed for respiratory viruses in nasopharyngeal aspirates collected from children aged <5 years within 24 hours of hospital admission during sentinel surveillance for severe acute respiratory illness (SARI) hospitalization conducted in South Africa during February 2009–December 2013. The primary outcome was life-threatening disease, defined as mechanical ventilation, intensive care unit admission, or death. Results Of 2322 HIV-uninfected children with respiratory syncytial virus (RSV)–associated LRTI, 1330 (57.3%) had RSV monoinfection, 38 (1.6%) had life-threatening disease, 575 (24.8%) had rhinovirus, 347 (14.9%) had adenovirus (ADV), and 30 (1.3%) had influenza virus. RSV and any other viral coinfection was not associated with severe disease (odds ratio [OR], 1.4; 95% confidence interval [CI], OR, 0.74; 95% CI, .39–1.4), ADV coinfection had increased odds of life-threatening disease (adjusted OR, 3.4; 95% CI, 1.6–7.2; P = .001), and influenza coinfection had increased odds of life-threatening disease and prolonged length of stay (adjusted OR, 2.1; 95% CI, 1.0–4.5; P = .05) compared with RSV monoinfection. Conclusions RSV coinfection with any respiratory virus is not associated with more severe disease when compared to RSV alone in this study. However, increased life-threatening disease in RSV-ADV and RSV-influenza coinfection warrants further study. PMID:27927871
Glutathione S-transferase gene polymorphisms (GSTM1, GSTT1, and GSTP1) in Egyptian pediatric patients with sickle cell disease.

PubMed

Shiba, Hala Fathy; El-Ghamrawy, Mona Kamal; Shaheen, Iman Abd El-Mohsen; Ali, Rasha Abd El-Ghani; Mousa, Somaia Mohammed

2014-01-01

Sickle cell disease (SCD) complications are associated with oxidative stress. Glutathione S-transferases (GSTs) are a group of enzymes that protect against oxidative stress. The aims of this study was to evaluate the prevalence of GSTM1, GSTT1, and GSTP1 gene polymorphisms among homozygous sickle cell anemia patients and to investigate the possible association between the presence of these polymorphisms and SCD severity and complications. Genotyping the polymorphisms in GSTT1 and GSTM1 genes was performed using the multiplex polymerase chain reaction (PCR) method. The GSTP1 ILe105Val polymorphism was determined using PCR-restriction fragment length polymorphism. GSTM1 null genotype was significantly associated with increased risk of severe vaso-occlusive crises (VOC) (odds ratio = 1.52, 95% confidence interval = 0.42-5.56, P = 0.005). We found no significant association between GST genotypes and frequency of sickle cell-related pain, transfusion frequency, disease severity, or hydroxyurea treatment. GSTM1 gene polymorphism may be associated with risk of severe VOC among Egyptian SCD patients.
Increase of EEG Spectral Theta Power Indicates Higher Risk of the Development of Severe Cognitive Decline in Parkinson’s Disease after 3 Years

PubMed Central

Cozac, Vitalii V.; Chaturvedi, Menorca; Hatz, Florian; Meyer, Antonia; Fuhr, Peter; Gschwandtner, Ute

2016-01-01

Objective: We investigated quantitative electroencephalography (qEEG) and clinical parameters as potential risk factors of severe cognitive decline in Parkinson’s disease. Methods: We prospectively investigated 37 patients with Parkinson’s disease at baseline and follow-up (after 3 years). Patients had no severe cognitive impairment at baseline. We used a summary score of cognitive tests as the outcome at follow-up. At baseline we assessed motor, cognitive, and psychiatric factors; qEEG variables [global relative median power (GRMP) spectra] were obtained by a fully automated processing of high-resolution EEG (256-channels). We used linear regression models with calculation of the explained variance to evaluate the relation of baseline parameters with cognitive deterioration. Results: The following baseline parameters significantly predicted severe cognitive decline: GRMP theta (4–8 Hz), cognitive task performance in executive functions and working memory. Conclusions: Combination of neurocognitive tests and qEEG improves identification of patients with higher risk of cognitive decline in PD. PMID:27965571
Genetic Polymorphisms of TLR4 and MICA are Associated with Severity of Trachoma Disease in Tanzania

PubMed Central

Abbas, Muneer; Berka, Noureddine; Khraiwesh, Mozna; Ramadan, Ali; Apprey, Victor; Furbert-Harris, Paulette; Quinn, Thomas; Brim, Hassan; Dunston, Georgia

2016-01-01

Aim To examine the association of TLR4 Asp299Gly and MICA exon 5 microsatellites polymorphisms with severity of trachoma in a sub-Saharan East Africa population of Tanzanian villagers. Methods The samples were genotyped for MICA exon 5 microsatellites and the TLR4 299 A/G polymorphism by Restriction Fragment Length Polymorphism (RFLP), and GeneScan®, respectively. The association of TLR4 Asp299Gly and MICA exon 5 microsatellites with inflammatory trachoma (TI) and trichiasis (TI) were examined. Results The results showed an association between TLR4 and MICA polymorphisms and trachoma disease severity, as well as with protection. TLR4 an allele was significantly associated with inflammatory trachoma (p=0.0410), while the G allele (p=0.0410) was associated with protection. Conclusion TLR4 and MICA may modulate the risk of severity to trachoma disease by modulating the immune response to Ct. In addition; the increased frequency of MICA-A9 heterozygote in controls may suggest a positive selection of these alleles in adaptation to environments where Ct is endemic. PMID:27559544
Evaluation of a novel Serious Game based assessment tool for patients with Alzheimer's disease.

PubMed

Vallejo, Vanessa; Wyss, Patric; Rampa, Luca; Mitache, Andrei V; Müri, René M; Mosimann, Urs P; Nef, Tobias

2017-01-01

Despite growing interest in developing ecological assessment of difficulties in patients with Alzheimer's disease new methods assessing the cognitive difficulties related to functional activities are missing. To complete current evaluation, the use of Serious Games can be a promising approach as it offers the possibility to recreate a virtual environment with daily living activities and a precise and complete cognitive evaluation. The aim of the present study was to evaluate the usability and the screening potential of a new ecological tool for assessment of cognitive functions in patients with Alzheimer's disease. Eighteen patients with Alzheimer's disease and twenty healthy controls participated to the study. They were asked to complete six daily living virtual tasks assessing several cognitive functions: three navigation tasks, one shopping task, one cooking task and one table preparation task following a one-day scenario. Usability of the game was evaluated through a questionnaire and through the analysis of the computer interactions for the two groups. Furthermore, the performances in terms of time to achieve the task and percentage of completion on the several tasks were recorded. Results indicate that both groups subjectively found the game user friendly and they were objectively able to play the game without computer interactions difficulties. Comparison of the performances between the two groups indicated a significant difference in terms of percentage of achievement of the several tasks and in terms of time they needed to achieve the several tasks. This study suggests that this new Serious Game based assessment tool is a user-friendly and ecological method to evaluate the cognitive abilities related to the difficulties patients can encounter in daily living activities and can be used as a screening tool as it allowed to distinguish Alzheimer's patient's performance from healthy controls.
RDIS: The Rabies Disease Information System.

PubMed

Dharmalingam, Baskeran; Jothi, Lydia

2015-01-01

Rabies is a deadly viral disease causing acute inflammation or encephalitis of the brain in human beings and other mammals. Therefore, it is of interest to collect information related to the disease from several sources including known literature databases for further analysis and interpretation. Hence, we describe the development of a database called the Rabies Disease Information System (RDIS) for this purpose. The online database describes the etiology, epidemiology, pathogenesis and pathology of the disease using diagrammatic representations. It provides information on several carriers of the rabies viruses like dog, bat, fox and civet, and their distributions around the world. Information related to the urban and sylvatic cycles of transmission of the virus is also made available. The database also contains information related to available diagnostic methods and vaccines for human and other animals. This information is of use to medical, veterinary and paramedical practitioners, students, researchers, pet owners, animal lovers, livestock handlers, travelers and many others. The database is available for free http://rabies.mscwbif.org/home.html.
Approaches to chronic disease management evaluation in use in Europe: a review of current methods and performance measures.

PubMed

Conklin, Annalijn; Nolte, Ellen; Vrijhoef, Hubertus

2013-01-01

An overview was produced of approaches currently used to evaluate chronic disease management in selected European countries. The study aims to describe the methods and metrics used in Europe as a first to help advance the methodological basis for their assessment. A common template for collection of evaluation methods and performance measures was sent to key informants in twelve European countries; responses were summarized in tables based on template evaluation categories. Extracted data were descriptively analyzed. Approaches to the evaluation of chronic disease management vary widely in objectives, designs, metrics, observation period, and data collection methods. Half of the reported studies used noncontrolled designs. The majority measure clinical process measures, patient behavior and satisfaction, cost and utilization; several also used a range of structural indicators. Effects are usually observed over 1 or 3 years on patient populations with a single, commonly prevalent, chronic disease. There is wide variation within and between European countries on approaches to evaluating chronic disease management in their objectives, designs, indicators, target audiences, and actors involved. This study is the first extensive, international overview of the area reported in the literature.
Quantitative analysis of patients with celiac disease by video capsule endoscopy: A deep learning method.

PubMed

Zhou, Teng; Han, Guoqiang; Li, Bing Nan; Lin, Zhizhe; Ciaccio, Edward J; Green, Peter H; Qin, Jing

2017-06-01

Celiac disease is one of the most common diseases in the world. Capsule endoscopy is an alternative way to visualize the entire small intestine without invasiveness to the patient. It is useful to characterize celiac disease, but hours are need to manually analyze the retrospective data of a single patient. Computer-aided quantitative analysis by a deep learning method helps in alleviating the workload during analysis of the retrospective videos. Capsule endoscopy clips from 6 celiac disease patients and 5 controls were preprocessed for training. The frames with a large field of opaque extraluminal fluid or air bubbles were removed automatically by using a pre-selection algorithm. Then the frames were cropped and the intensity was corrected prior to frame rotation in the proposed new method. The GoogLeNet is trained with these frames. Then, the clips of capsule endoscopy from 5 additional celiac disease patients and 5 additional control patients are used for testing. The trained GoogLeNet was able to distinguish the frames from capsule endoscopy clips of celiac disease patients vs controls. Quantitative measurement with evaluation of the confidence was developed to assess the severity level of pathology in the subjects. Relying on the evaluation confidence, the GoogLeNet achieved 100% sensitivity and specificity for the testing set. The t-test confirmed the evaluation confidence is significant to distinguish celiac disease patients from controls. Furthermore, it is found that the evaluation confidence may also relate to the severity level of small bowel mucosal lesions. A deep convolutional neural network was established for quantitative measurement of the existence and degree of pathology throughout the small intestine, which may improve computer-aided clinical techniques to assess mucosal atrophy and other etiologies in real-time with videocapsule endoscopy. Copyright © 2017 Elsevier Ltd. All rights reserved.
[Severity assessment strategies based on administrative data using stroke as an example].

PubMed

Schubert, Ingrid; Hammer, Antje; Köster, Ingrid

2017-10-01

Information on disease severity is relevant for many studies with claims data in health service research, but only limited information is available in routine data. Stroke serves as an example to analyse whether the combination of different information in claims data can provide insight into the severity of a disease. As a first step, a literature search was conducted. Strategies to assess the severity of a disease by means of routine data were examined with regard to approval and applicability to German sickness fund data. In order to apply and extend the identified procedures, the statutory health insurance sample AOK Hessen/KV Hessen (VSH) served as data source. It is an 18.75 % random sample of persons insured by the AOK Hessen, with 2013 being the most recent year. Stroke patients were identified by the ICD-10 GM code I63 and I64. Patients with said diagnoses being coded as a hospital discharge diagnosis in 2012 were included due to an acute event in 2012 (n=944). The follow-up time was one year. Ten studies covering seven different methods to assess stroke severity were identified. Codes for coma (4.2 % of stroke patients in the SHI sample) as well as coma and/or the application of a PEG tube (9.8 % of the stroke patients) were applied as a proxy for disease severity of acute cases. Taking age, sex and comorbidity into consideration, patients in a coma show a significantly increased risk of mortality compared to those without coma. Three operationalisations were chosen as possible proxies for disease severity of stroke in the further course of disease: i) sequelae (hemiplegia, neurological neglect), ii) duration of the index inpatient stay, and iii) nursing care/ care level 3 for the first time after stroke. The latter proxy has the highest explanatory value for SHI costs. The studies identified use many variables mainly based on hospital information in order to describe disease severity. With the exception of coma, these proxies were neither validated nor did the authors provide more detailed grounds for their use. An identified score for stroke severity could not be applied to SHI data. To develop a comparable score requires a linkage of clinical and administrative data. Since routine data include information from all sectors of care, it should be explored whether these data (for example, the patients' care needs) are suitable to assess disease severity. For validation, separate databases and, optimally, primary patient data are necessary. Copyright © 2017. Published by Elsevier GmbH.
[The lymphocyte transformation test in dermatology].

PubMed

Zinn, K; Braun-Falco, O

1976-03-01

At first, immunologie and methodic basies of the lymphocyte transformation test are discussed. Then the results gained by this test in several dermatologic diseases are summarized. Finally, practice of the lymphocyte transformation test is critically reviewed.
Tests for H. pylori

MedlinePlus

Peptic ulcer disease - H. pylori ; PUD - H. pylori ... There are several methods to test for H. pylori infection. Breath Test (Carbon Isotope-urea Breath Test, or UBT) Up to 2 weeks before the test, you need to stop taking ...
A non-contact approach for PWV detection: application in a clinical setting.

PubMed

Campo, Adriaan; Heuten, Hilde; Goovaerts, Inge; Ennekens, Guy; Vrints, Christiaan; Dirckx, Joris

2016-07-01

A need for screening methods for arteriosclerosis led to the development of several approaches to measure pulse wave velocity (PWV) being indicative of arterial stiffness. Carotid-femoral PWV (cfPWV) can be measured between common carotid artery (CCA) and femoral artery (FA) displaying the physiologically important stiffness of the conduit arteries. However, this measurement approach has several disadvantages, and a local PWV-measurement of CCA-stiffness has been proposed as an alternative in the past. In the presented pilot study, laser Doppler vibrometry (LDV) is used to measure PWV locally in the CCA (PWVLDV) in 48 patients aged between 48 and 70, with known atherosclerotic arterial disease: stabilized coronary artery disease (CAD), cerebro-vascular disease (CVD) or peripheral artery disease (PAD). Additionally, cfPWV, CCA distensibility coefficient (DC), CCA intima-media thickness (IMT), blood pressure (BP) and age were evaluated. LDV is a valid method for local PWV-measurement. The method is potentially easy to use, and causes no discomfort to the patient. PWVLDV correlates with age (R = 0.432; p = 0.002) as reported in related studies using other techniques, and measured values lay between 2.5 and 5.8 m s(-1), which is well in line with literature measures of local PWV in the CCA. In conclusion, PWVLDV potentially is a marker for arterial health, but more research in a larger and more homogeneous patient population is mandatory. In future studies, blood velocity measurements should be incorporated, as well as a reference method such as pulse wave imaging (PWI) or magnetic resonance imaging (MRI).
THD-Module Extractor: An Application for CEN Module Extraction and Interesting Gene Identification for Alzheimer's Disease.

PubMed

Kakati, Tulika; Kashyap, Hirak; Bhattacharyya, Dhruba K

2016-11-30

There exist many tools and methods for construction of co-expression network from gene expression data and for extraction of densely connected gene modules. In this paper, a method is introduced to construct co-expression network and to extract co-expressed modules having high biological significance. The proposed method has been validated on several well known microarray datasets extracted from a diverse set of species, using statistical measures, such as p and q values. The modules obtained in these studies are found to be biologically significant based on Gene Ontology enrichment analysis, pathway analysis, and KEGG enrichment analysis. Further, the method was applied on an Alzheimer's disease dataset and some interesting genes are found, which have high semantic similarity among them, but are not significantly correlated in terms of expression similarity. Some of these interesting genes, such as MAPT, CASP2, and PSEN2, are linked with important aspects of Alzheimer's disease, such as dementia, increase cell death, and deposition of amyloid-beta proteins in Alzheimer's disease brains. The biological pathways associated with Alzheimer's disease, such as, Wnt signaling, Apoptosis, p53 signaling, and Notch signaling, incorporate these interesting genes. The proposed method is evaluated in regard to existing literature.
THD-Module Extractor: An Application for CEN Module Extraction and Interesting Gene Identification for Alzheimer’s Disease

PubMed Central

Kakati, Tulika; Kashyap, Hirak; Bhattacharyya, Dhruba K.

2016-01-01

There exist many tools and methods for construction of co-expression network from gene expression data and for extraction of densely connected gene modules. In this paper, a method is introduced to construct co-expression network and to extract co-expressed modules having high biological significance. The proposed method has been validated on several well known microarray datasets extracted from a diverse set of species, using statistical measures, such as p and q values. The modules obtained in these studies are found to be biologically significant based on Gene Ontology enrichment analysis, pathway analysis, and KEGG enrichment analysis. Further, the method was applied on an Alzheimer’s disease dataset and some interesting genes are found, which have high semantic similarity among them, but are not significantly correlated in terms of expression similarity. Some of these interesting genes, such as MAPT, CASP2, and PSEN2, are linked with important aspects of Alzheimer’s disease, such as dementia, increase cell death, and deposition of amyloid-beta proteins in Alzheimer’s disease brains. The biological pathways associated with Alzheimer’s disease, such as, Wnt signaling, Apoptosis, p53 signaling, and Notch signaling, incorporate these interesting genes. The proposed method is evaluated in regard to existing literature. PMID:27901073
Association of Polysensitization, Allergic Multimorbidity, and Allergy Severity: A Cross-Sectional Study of School Children.

PubMed

Ha, Eun Kyo; Baek, Ji Hyeon; Lee, So-Yeon; Park, Yong Mean; Kim, Woo Kyung; Sheen, Youn Ho; Lee, Seung Jin; Bae, Youngoh; Kim, Jihyeon; Lee, Kee-Jae; Ahn, Kangmo; Kwon, Ho-Jang; Han, Man Yong

2016-01-01

Aeroallergen sensitization is related to the coexistence of allergic diseases, but the nature of this relationship is poorly understood. The aim of this study was to clarify the relationship of polysensitization with allergic multimorbidities and the severity of allergic diseases. This study is a cross-sectional analysis of 3,368 Korean children aged 6-7 years-old. We defined IgE-mediated allergic diseases based on structured questionnaires, and classified the sensitivity to 18 aeroallergens by logistic regression and the Ward hierarchical clustering method. The relationship of polysensitization (positive IgE responses against 2 or more aeroallergens classes) with allergic multimorbidities (coexistence of 2 or more of the following allergic diseases: asthma, rhinitis, eczema, and conjunctivitis) and severity of allergic diseases was determined by ordinal logistic regression analysis. The rate of polysensitization was 13.6% (n = 458, 95% CI 12.4-14.8) and that of allergic multimorbidity was 23.5% (n = 790, 95% CI 22.0-24.9). Children sensitized to more aeroallergens tended to have more allergic diseases (rho = 0.248, p < 0.001), although the agreement between polysensitization and multimorbidity was poor (kappa = 0.11, p < 0.001). The number allergen classes to which a child was sensitized increased the risk of wheezing attacks (1 allergen: adjusted odds ratio [aOR] 2.22, 4 or more allergens: aOR 9.39), absence from school (1 allergen: aOR 1.96, 3 allergens: aOR 2.08), and severity of nasal symptoms (1 allergen: aOR 1.61, 4 or more allergens: aOR 4.38). Polysensitization was weakly related to multimorbidity. However, the number of allergens to which a child is sensitized is related to the severity of IgE-mediated symptoms. © 2017 S. Karger AG, Basel.
Retinal Disease Course in Usher Syndrome 1B Due to MYO7A Mutations

PubMed Central

Jacobson, Samuel G.; Cideciyan, Artur V.; Gibbs, Dan; Sumaroka, Alexander; Roman, Alejandro J.; Aleman, Tomas S.; Schwartz, Sharon B.; Olivares, Melani B.; Russell, Robert C.; Steinberg, Janet D.; Kenna, Margaret A.; Kimberling, William J.; Rehm, Heidi L.; Williams, David S.

2011-01-01

Purpose. To determine the disease course in Usher syndrome type IB (USH1B) caused by myosin 7A (MYO7A) gene mutations. Methods. USH1B patients (n = 33, ages 2–61) representing 25 different families were studied by ocular examination, kinetic and chromatic static perimetry, dark adaptometry, and optical coherence tomography (OCT). Consequences of the mutant alleles were predicted. Results. All MYO7A patients had severely abnormal ERGs, but kinetic fields revealed regional patterns of visual loss that suggested a disease sequence. Rod-mediated vision could be lost to different degrees in the first decades of life. Cone vision followed a more predictable and slower decline. Central vision ranged from normal to reduced in the first four decades of life and thereafter was severely abnormal. Dark adaptation kinetics was normal. Photoreceptor layer thickness in a wide region of central retina could differ dramatically between patients of comparable ages; and there were examples of severe losses in childhood as well as relative preservation in patients in the third decade of life. Comparisons were made between the mutant alleles in mild versus more severe phenotypes. Conclusions. A disease sequence in USH1B leads from generally full but impaired visual fields to residual small central islands. At most disease stages, there was preserved temporal peripheral field, a potential target for early phase clinical trials of gene therapy. From data comparing patients' rod disease in this cohort, the authors speculate that null MYO7A alleles could be associated with milder dysfunction and fewer photoreceptor structural losses at ages when other genotypes show more severe phenotypes. PMID:21873662
Retinal disease course in Usher syndrome 1B due to MYO7A mutations.

PubMed

Jacobson, Samuel G; Cideciyan, Artur V; Gibbs, Dan; Sumaroka, Alexander; Roman, Alejandro J; Aleman, Tomas S; Schwartz, Sharon B; Olivares, Melani B; Russell, Robert C; Steinberg, Janet D; Kenna, Margaret A; Kimberling, William J; Rehm, Heidi L; Williams, David S

2011-10-07

PURPOSE. To determine the disease course in Usher syndrome type IB (USH1B) caused by myosin 7A (MYO7A) gene mutations. METHODS. USH1B patients (n = 33, ages 2-61) representing 25 different families were studied by ocular examination, kinetic and chromatic static perimetry, dark adaptometry, and optical coherence tomography (OCT). Consequences of the mutant alleles were predicted. RESULTS. All MYO7A patients had severely abnormal ERGs, but kinetic fields revealed regional patterns of visual loss that suggested a disease sequence. Rod-mediated vision could be lost to different degrees in the first decades of life. Cone vision followed a more predictable and slower decline. Central vision ranged from normal to reduced in the first four decades of life and thereafter was severely abnormal. Dark adaptation kinetics was normal. Photoreceptor layer thickness in a wide region of central retina could differ dramatically between patients of comparable ages; and there were examples of severe losses in childhood as well as relative preservation in patients in the third decade of life. Comparisons were made between the mutant alleles in mild versus more severe phenotypes. CONCLUSIONS. A disease sequence in USH1B leads from generally full but impaired visual fields to residual small central islands. At most disease stages, there was preserved temporal peripheral field, a potential target for early phase clinical trials of gene therapy. From data comparing patients' rod disease in this cohort, the authors speculate that null MYO7A alleles could be associated with milder dysfunction and fewer photoreceptor structural losses at ages when other genotypes show more severe phenotypes.
Visual analogue scales (VAS): Measuring instruments for the documentation of symptoms and therapy monitoring in cases of allergic rhinitis in everyday health care: Position Paper of the German Society of Allergology (AeDA) and the German Society of Allergy and Clinical Immunology (DGAKI), ENT Section, in collaboration with the working group on Clinical Immunology, Allergology and Environmental Medicine of the German Society of Otorhinolaryngology, Head and Neck Surgery (DGHNOKHC).

PubMed

Klimek, Ludger; Bergmann, Karl-Christian; Biedermann, Tilo; Bousquet, Jean; Hellings, Peter; Jung, Kirsten; Merk, Hans; Olze, Heidi; Schlenter, Wolfgang; Stock, Philippe; Ring, Johannes; Wagenmann, Martin; Wehrmann, Wolfgang; Mösges, Ralph; Pfaar, Oliver

2017-01-01

Visual analogue scales (VAS) are psychometric measuring instruments designed to document the characteristics of disease-related symptom severity in individual patients and use this to achieve a rapid (statistically measurable and reproducible) classification of symptom severity and disease control. VAS can also be used in routine patient history taking and to monitor the course of a chronic disease such as allergic rhinitis (AR). More specifically, the VAS has been used to assess effectiveness of AR therapy in real life, both in intermittent and persistent disease. This position paper takes a detailed look at the historical development of VAS and its method-specific principles. Particular focus is put on aspects of practical application in daily routine and on a critical discussion of the advantages and disadvantages of the individual methods. VAS are well validated for the measurement of AR symptoms and correlate well with the ARIA (allergic rhinitis and its impact on asthma) severity classification and also correlated well with rTNSS and RQLQ. Moreover, several treatment studies on AR have used VAS as an evaluation parameter. Thanks to the use of new (real-life and real-time) communication technologies, such as smartphone apps, Discussion: VAS can be used relatively simply and highly effectively to assess disease control. The VAS lends itself very well to digitization and has now been incorporated into a smartphone app (called Allergy Diary) to assess AR control and direct treatment decisions as part of an AR clinical decision support system (CDSS). MASK Rhinitis has developed this app, which is currently available in 15 different languages.
An affordable and easy-to-use diagnostic method for keratoconus detection using a smartphone

NASA Astrophysics Data System (ADS)

Askarian, Behnam; Tabei, Fatemehsadat; Askarian, Amin; Chong, Jo Woon

2018-02-01

Recently, smartphones are used for disease diagnosis and healthcare. In this paper, we propose a novel affordable diagnostic method of detecting keratoconus using a smartphone. Keratoconus is usually detected in clinics with ophthalmic devices, which are large, expensive and not portable, and need to be operated by trained technicians. However, our proposed smartphone-based eye disease detection method is small, affordable, portable, and it can be operated by patients in a convenient way. The results show that the proposed keratoconus detection method detects severe, advanced, and moderate keratoconus with accuracies of 93%, 86%, 67%, respectively. Due to its convenience with these accuracies, the proposed keratoconus detection method is expected to be applied in detecting keratoconus at an earlier stage in an affordable way.
Non-Spatial Analysis of Relative Risk of Dengue Disease in Bandung Using Poisson-gamma and Log-normal Models: A Case Study of Dengue Data from Santo Borromeus Hospital in 2013

NASA Astrophysics Data System (ADS)

Irawan, R.; Yong, B.; Kristiani, F.

2017-02-01

Bandung, one of the cities in Indonesia, is vulnerable to dengue disease for both early-stage (Dengue Fever) and severe-stage (Dengue Haemorrhagic Fever and Dengue Shock Syndrome). In 2013, there were 5,749 patients in Bandung and 2,032 of the patients were hospitalized in Santo Borromeus Hospital. In this paper, there are two models, Poisson-gamma and Log-normal models, that use Bayesian inference to estimate the value of the relative risk. The calculation is done by Markov Chain Monte Carlo method which is the simulation using Gibbs Sampling algorithm in WinBUGS 1.4.3 software. The analysis results for dengue disease of 30 sub-districts in Bandung in 2013 based on Santo Borromeus Hospital’s data are Coblong and Bandung Wetan sub-districts had the highest relative risk using both models for the early-stage, severe-stage, and all stages. Meanwhile, Cinambo sub-district had the lowest relative risk using both models for the severe-stage and all stages and BojongloaKaler sub-district had the lowest relative risk using both models for the early-stage. For the model comparison using DIC (Deviance Information Criterion) method, the Log-normal model is a better model for the early-stage and severe-stage, but for the all stages, the Poisson-gamma model is a better model which fits the data.

Periodontal Disease and Tooth Loss as Risks for Cancer: A Systematic Review of the Literature

PubMed Central

Sadighi Shamami, M; Sadighi Shamami, M; Amini, S

2011-01-01

Background Periodontal disease is a chronic destructive disease which occurs in adults, young people, and children. Periodontal disease and periodontal pathogens have been associated with several systemic diseases and more recently, several studies have suggested the relationship between periodontal disease and cancer. Studies with adjustment for the effect of smoking exposure, have found significant positive associations with different cancer sites. This review has outlined recent epidemiologic researches pointing to a possible role for tooth loss and periodontal disease in carcinogenesis. Methods In this review, articles were selected from PubMed between1995 and June 2010 including human. Amongst 5,984 articles identified from the electronic search, 17 articles were selected for a full-text reading based on the inclusion and the exclusion criteria. Results Nine out of 10 case-control studies reported a significant increase in the risk of oral cancer in patients with periodontitis and one with no significant association. Among 6 studies examining esophageal cancer and periodontal disease, 5 studies found a significant association between them and one study failed to find a significant increased risk of cancer. Also amongst 5 studies which focused on upper gastrointestinal, gastric cancer, and periodontal disease, 4 studies found an increased risk of cancer while one study did not report any relationship. In lung cancer evaluations, 3 out of 4 studies showed some levels of association between lung cancer and periodontal disease but after adjustment for smoking, no relationship were found. Three cohort studies have evaluated overall cancer rates in periodontal patients; two of them found small but significant association between cancers and periodontal disease. Conclusion The results indicate that there is a possible link between cancer and severe periodontal disease after adjustment for smoking and drinking habits. PMID:26322197
Comorbidity of Narcolepsy Type 1 With Autoimmune Diseases and Other Immunopathological Disorders: A Case-Control Study

PubMed Central

Martinez-Orozco, Francisco Javier; Vicario, Jose Luis; De Andres, Clara; Fernandez-Arquero, Miguel; Peraita-Adrados, Rosa

2016-01-01

Background Several evidences suggest that autoimmune diseases (ADs) tend to co-occur in an individual and within the same family. Narcolepsy type 1 (NT1) is a chronic sleep disorder caused by a selective loss of hypocretin-producing neurons due to a mechanism of neural destruction that indicates an autoimmune pathogenesis, although no evidence is available. We report on the comorbidity of ADs and other immunopathological diseases (including allergy diseases) in narcolepsy. Methods We studied 158 Caucasian NT1 patients (60.7% male; mean age 49.4 ± 19.7 years), in whom the diagnosis was confirmed by polysomnography followed by a multiple sleep latency test, or by hypocretin-1 levels measurements. Results Thirty out of 158 patients (18.99%; 53.3% female; 29 sporadic and one familial cases) had one or more immunopathological diseases associated. A control group of 151 subjects were matched by gender and age with the narcolepsy patients. Results demonstrated that there was a higher frequency of ADs in our series of narcolepsy patients compared to the sample of general population (odds ratio: 3.17; 95% confidence interval: 1.01 - 10.07; P = 0.040). A temporal relationship with the age at onset of the diseases was found. Conclusions Cataplexy was significantly more severe in NT1 patients with immunopathological diseases, and immunopathological diseases are a risk factor for severe forms of cataplexy in our series (odds ratio: 23.6; 95% confidence interval: 5.5 - 100.1). PMID:27298657
Estimation of the National Disease Burden of Influenza-Associated Severe Acute Respiratory Illness in Kenya and Guatemala: A Novel Methodology

PubMed Central

Katz, Mark A.; Lindblade, Kim A.; Njuguna, Henry; Arvelo, Wences; Khagayi, Sammy; Emukule, Gideon; Linares-Perez, Nivaldo; McCracken, John; Nokes, D. James; Ngama, Mwanajuma; Kazungu, Sidi; Mott, Joshua A.; Olsen, Sonja J.; Widdowson, Marc-Alain; Feikin, Daniel R.

2013-01-01

Background Knowing the national disease burden of severe influenza in low-income countries can inform policy decisions around influenza treatment and prevention. We present a novel methodology using locally generated data for estimating this burden. Methods and Findings This method begins with calculating the hospitalized severe acute respiratory illness (SARI) incidence for children <5 years old and persons ≥5 years old from population-based surveillance in one province. This base rate of SARI is then adjusted for each province based on the prevalence of risk factors and healthcare-seeking behavior. The percentage of SARI with influenza virus detected is determined from provincial-level sentinel surveillance and applied to the adjusted provincial rates of hospitalized SARI. Healthcare-seeking data from healthcare utilization surveys is used to estimate non-hospitalized influenza-associated SARI. Rates of hospitalized and non-hospitalized influenza-associated SARI are applied to census data to calculate the national number of cases. The method was field-tested in Kenya, and validated in Guatemala, using data from August 2009–July 2011. In Kenya (2009 population 38.6 million persons), the annual number of hospitalized influenza-associated SARI cases ranged from 17,129–27,659 for children <5 years old (2.9–4.7 per 1,000 persons) and 6,882–7,836 for persons ≥5 years old (0.21–0.24 per 1,000 persons), depending on year and base rate used. In Guatemala (2011 population 14.7 million persons), the annual number of hospitalized cases of influenza-associated pneumonia ranged from 1,065–2,259 (0.5–1.0 per 1,000 persons) among children <5 years old and 779–2,252 cases (0.1–0.2 per 1,000 persons) for persons ≥5 years old, depending on year and base rate used. In both countries, the number of non-hospitalized influenza-associated cases was several-fold higher than the hospitalized cases. Conclusions Influenza virus was associated with a substantial amount of severe disease in Kenya and Guatemala. This method can be performed in most low and lower-middle income countries. PMID:23573177
Quantitative phenotyping of X-disease resistance in chokecherry using real-time PCR.

PubMed

Huang, Danqiong; Walla, James A; Dai, Wenhao

2014-03-01

A quantitative real-time SYBR Green PCR (qPCR) assay has been developed to detect and quantify X-disease phytoplasmas in chokecherry. An X-disease phytoplasma-specific and high sensitivity primer pair was designed based on the 16S rRNA gene sequence of X-disease phytoplasmas. This primer pair was specific to the 16SrIII group (X-disease) phytoplasmas. The qPCR method can quantify phytoplasmas from a DNA mix (a mix of both chokecherry and X-disease phytoplasma DNA) at as low as 0.001 ng, 10-fold lower than conventional PCR using the same primer pair. A significant correlation between the copy number of phytoplasmas and visual phenotypic rating scores of X-disease resistance in chokecherry plants was observed. Disease resistant chokecherries had a significantly lower titer of X-disease phytoplasmas than susceptible plants. This suggests that the qPCR assay provides a more objective tool to phenotype phytoplasma disease severity, particularly for early evaluation of host resistance; therefore, this method will facilitate quantitative phenotyping of disease resistance and has great potential in enhancing plant breeding. Copyright © 2013 Elsevier B.V. All rights reserved.
Multi-Domain Transfer Learning for Early Diagnosis of Alzheimer's Disease.

PubMed

Cheng, Bo; Liu, Mingxia; Shen, Dinggang; Li, Zuoyong; Zhang, Daoqiang

2017-04-01

Recently, transfer learning has been successfully applied in early diagnosis of Alzheimer's Disease (AD) based on multi-domain data. However, most of existing methods only use data from a single auxiliary domain, and thus cannot utilize the intrinsic useful correlation information from multiple domains. Accordingly, in this paper, we consider the joint learning of tasks in multi-auxiliary domains and the target domain, and propose a novel Multi-Domain Transfer Learning (MDTL) framework for early diagnosis of AD. Specifically, the proposed MDTL framework consists of two key components: 1) a multi-domain transfer feature selection (MDTFS) model that selects the most informative feature subset from multi-domain data, and 2) a multi-domain transfer classification (MDTC) model that can identify disease status for early AD detection. We evaluate our method on 807 subjects from the Alzheimer's Disease Neuroimaging Initiative (ADNI) database using baseline magnetic resonance imaging (MRI) data. The experimental results show that the proposed MDTL method can effectively utilize multi-auxiliary domain data for improving the learning performance in the target domain, compared with several state-of-the-art methods.
Multi-Domain Transfer Learning for Early Diagnosis of Alzheimer’s Disease

PubMed Central

Cheng, Bo; Liu, Mingxia; Li, Zuoyong

2017-01-01

Recently, transfer learning has been successfully applied in early diagnosis of Alzheimer’s Disease (AD) based on multi-domain data. However, most of existing methods only use data from a single auxiliary domain, and thus cannot utilize the intrinsic useful correlation information from multiple domains. Accordingly, in this paper, we consider the joint learning of tasks in multi-auxiliary domains and the target domain, and propose a novel Multi-Domain Transfer Learning (MDTL) framework for early diagnosis of AD. Specifically, the proposed MDTL framework consists of two key components: 1) a multi-domain transfer feature selection (MDTFS) model that selects the most informative feature subset from multi-domain data, and 2) a multidomain transfer classification (MDTC) model that can identify disease status for early AD detection. We evaluate our method on 807 subjects from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) database using baseline magnetic resonance imaging (MRI) data. The experimental results show that the proposed MDTL method can effectively utilize multi-auxiliary domain data for improving the learning performance in the target domain, compared with several state-of-the-art methods. PMID:27928657
Prevention and treatment effects of edible berries for three deadly diseases: Cardiovascular disease, cancer and diabetes.

PubMed

Yang, Hua; Tian, Tiantian; Wu, Dianhui; Guo, Dejun; Lu, Jian

2018-01-30

Cardiovascular disease (CVD), cancer and diabetes are serious threat to human health and more and more aroused people's attention. It is important to find the safe and effective prevention and treatment methods for the three deadly diseases. At present, a generally attention in the possible positive effects of edible berries for the three deadly diseases has been noted. Berry phytochemical compounds regulate different signaling pathways about cell survival, growth and differentiation. They contribute to the prevention and treatment of CVD, cancer and diabetes. This article reviews previous experimental evidence, several common berry phytochemical compounds and their possible mechanisms involved in three deadly diseases were summarized.
Incidence and severity of keratoconus in Asir province, Saudi Arabia

PubMed Central

Assiri, A A; Yousuf, B I; Quantock, A J; Murphy, P J

2005-01-01

Aim: To assess the incidence and associated signs and symptoms of patients with keratoconus in Asir Province, Saudi Arabia. Methods: 125 new keratoconus patients (51 male, 74 female; mean age 18.5 (SD 3.8) years; range 8–28 years) were recruited from referrals to the department of ophthalmology, Asir Central Hospital, over a 1 year period. Age, visual acuity, and keratometry were recorded along with clinical signs and symptoms. Results: The incidence of keratoconus in Asir Province is 20 cases per 100 000 population. Also, the disease severity is high, as indicated by an early mean age (17.7 (3.6) years) with advanced stage keratoconus. Visual acuity, with either spectacles or rigid contact lenses, was 6/12 or better in 98% of eyes measured. Just over half (56%) of patients had atopic ocular disease. 16% of patients had a positive family history of the disease and 16% had atopic dermatitis (eczema and/or vitiligo). Conclusion: The incidence and severity of keratoconus in Asir Province, Saudi Arabia, is high with an early onset and more rapid progress to the severe disease stage at a young age. This might reflect the influence of genetic and/or environmental factor(s) in the aetiology of keratoconus. PMID:16234439
Advanced DNA-Based Point-of-Care Diagnostic Methods for Plant Diseases Detection.

PubMed

Lau, Han Yih; Botella, Jose R

2017-01-01

Diagnostic technologies for the detection of plant pathogens with point-of-care capability and high multiplexing ability are an essential tool in the fight to reduce the large agricultural production losses caused by plant diseases. The main desirable characteristics for such diagnostic assays are high specificity, sensitivity, reproducibility, quickness, cost efficiency and high-throughput multiplex detection capability. This article describes and discusses various DNA-based point-of care diagnostic methods for applications in plant disease detection. Polymerase chain reaction (PCR) is the most common DNA amplification technology used for detecting various plant and animal pathogens. However, subsequent to PCR based assays, several types of nucleic acid amplification technologies have been developed to achieve higher sensitivity, rapid detection as well as suitable for field applications such as loop-mediated isothermal amplification, helicase-dependent amplification, rolling circle amplification, recombinase polymerase amplification, and molecular inversion probe. The principle behind these technologies has been thoroughly discussed in several review papers; herein we emphasize the application of these technologies to detect plant pathogens by outlining the advantages and disadvantages of each technology in detail.
Advanced DNA-Based Point-of-Care Diagnostic Methods for Plant Diseases Detection

PubMed Central

Lau, Han Yih; Botella, Jose R.

2017-01-01

Diagnostic technologies for the detection of plant pathogens with point-of-care capability and high multiplexing ability are an essential tool in the fight to reduce the large agricultural production losses caused by plant diseases. The main desirable characteristics for such diagnostic assays are high specificity, sensitivity, reproducibility, quickness, cost efficiency and high-throughput multiplex detection capability. This article describes and discusses various DNA-based point-of care diagnostic methods for applications in plant disease detection. Polymerase chain reaction (PCR) is the most common DNA amplification technology used for detecting various plant and animal pathogens. However, subsequent to PCR based assays, several types of nucleic acid amplification technologies have been developed to achieve higher sensitivity, rapid detection as well as suitable for field applications such as loop-mediated isothermal amplification, helicase-dependent amplification, rolling circle amplification, recombinase polymerase amplification, and molecular inversion probe. The principle behind these technologies has been thoroughly discussed in several review papers; herein we emphasize the application of these technologies to detect plant pathogens by outlining the advantages and disadvantages of each technology in detail. PMID:29375588
Effectiveness of Home-based Management of Newborn Infections by Community Health Workers in Rural Bangladesh

PubMed Central

Baqui, Abdullah H.; Arifeen, Shams E.; Williams, Emma K.; Ahmed, Saifuddin; Mannan, Ishtiaq; Rahman, Syed M.; Begum, Nazma; Seraji, Habibur R.; Winch, Peter J.; Santosham, Mathuram; Black, Robert E.; Darmstadt, Gary L.

2010-01-01

Background Infections account for about half of neonatal deaths in low-resource settings. Limited evidence supports home-based treatment of newborn infections by community health workers (CHW). Methods In one study arm of a cluster randomized controlled trial, CHWs assessed neonates at home using a 20-sign clinical algorithm and classified sick neonates as having very severe disease or possible very severe disease. Over a two-year period, 10 585 live births were recorded in the study area. CHWs assessed 8474 (80%) of the neonates within the first week of life and referred neonates with signs of severe disease. If referral failed but parents consented to home treatment, CHWs treated neonates with very severe disease or possible very severe disease with multiple signs, using injectable antibiotics. Results For very severe disease, referral compliance was 34% (162/478 cases), and home treatment acceptance was 43% (204/478 cases). The case fatality rate was 4.4% (9/204) for CHW treatment, 14.2% (23/162) for treatment by qualified medical providers, and 28.5% (32/112) for those who received no treatment or who were treated by other unqualified providers. After controlling for differences in background characteristics and illness signs among treatment groups, newborns treated by CHWs had a hazard ratio of 0.22 (95% confidence interval 0.07–0.71) for death during the neonatal period and those treated by qualified providers had a hazard ratio of 0.61 (95% confidence interval of 0.37–0.99), compared with newborns who received no treatment or were treated by untrained providers. Significantly increased hazards ratios of death were observed for neonates with convulsions (HR 6.54; 95% CI 3.98–10.76), chest in-drawing (HR 2.38, 95% CI 1.29–4.39), temperature < 35.3°C (HR 3.47, 95% CI 1.30–9.24), unconsciousness (HR 7.92, 95% CI 3.13–20.04). Conclusions Home treatment of very severe disease in neonates by CHWs was effective and acceptable in a low-resource setting in Bangladesh. PMID:19289979
Current Advances in Detection and Treatment of Babesiosis

PubMed Central

Mosqueda, J; Olvera-Ramírez, A; Aguilar-Tipacamú, G; Cantó, GJ

2012-01-01

Babesiosis is a disease with a world-wide distribution affecting many species of mammals principally cattle and man. The major impact occurs in the cattle industry where bovine babesiosis has had a huge economic effect due to loss of meat and beef production of infected animals and death. Nowadays to those costs there must be added the high cost of tick control, disease detection, prevention and treatment. In almost a century and a quarter since the first report of the disease, the truth is: there is no a safe and efficient vaccine available, there are limited chemotherapeutic choices and few low-cost, reliable and fast detection methods. Detection and treatment of babesiosis are important tools to control babesiosis. Microscopy detection methods are still the cheapest and fastest methods used to identify Babesia parasites although their sensitivity and specificity are limited. Newer immunological methods are being developed and they offer faster, more sensitive and more specific options to conventional methods, although the direct immunological diagnoses of parasite antigens in host tissues are still missing. Detection methods based on nucleic acid identification and their amplification are the most sensitive and reliable techniques available today; importantly, most of those methodologies were developed before the genomics and bioinformatics era, which leaves ample room for optimization. For years, babesiosis treatment has been based on the use of very few drugs like imidocarb or diminazene aceturate. Recently, several pharmacological compounds were developed and evaluated, offering new options to control the disease. With the complete sequence of the Babesia bovis genome and the B. bigemina genome project in progress, the post-genomic era brings a new light on the development of diagnosis methods and new chemotherapy targets. In this review, we will present the current advances in detection and treatment of babesiosis in cattle and other animals, with additional reference to several apicomplexan parasites. PMID:22360483
Work package 4 report: Broodfish testing for bacterial infections

USGS Publications Warehouse

Michel, Christian; Elliott, Diane G.; Jansson, Eva; Urdaci, Maria; Midtlyng, Paul J.

2005-01-01

This report summarises current scientific information and experience obtained with various methods for testing of salmonid broodfish or spawn for bacterial kidney disease (BKD - Renibacterium salmoninarum infection) in order to prevent vertical transmission of the organism to the offspring. Assessment is also being performed for Flavobacterium psychrophilum infections causing rainbow trout fry syndrome (RTFS) or bacterial coldwater disease (CWD), and for Piscirickettsia salmonis infection causing salmon rickettsial syndrome (SRS) in salmonid fish species. Methods for screening to document the absence of BKD in fish populations are well established. Some of them have also proven successful for testing individual fish from infected populations in order to avoid vertical transmission of the infectious agent. Several diagnostic methods for flavobacteriosis and piscirickettsiosis have also been established but none of them, as yet, has been validated for use in programmes to prevent vertical transmission of disease. Priority subjects for further research in order to improve the management and control of these vertically transmissible fish diseases are suggested.
Need for Improved Methods to Collect and Present Spatial Epidemiologic Data for Vectorborne Diseases

PubMed Central

Eisen, Rebecca J.

2007-01-01

Improved methods for collection and presentation of spatial epidemiologic data are needed for vectorborne diseases in the United States. Lack of reliable data for probable pathogen exposure site has emerged as a major obstacle to the development of predictive spatial risk models. Although plague case investigations can serve as a model for how to ideally generate needed information, this comprehensive approach is cost-prohibitive for more common and less severe diseases. New methods are urgently needed to determine probable pathogen exposure sites that will yield reliable results while taking into account economic and time constraints of the public health system and attending physicians. Recent data demonstrate the need for a change from use of the county spatial unit for presentation of incidence of vectorborne diseases to more precise ZIP code or census tract scales. Such fine-scale spatial risk patterns can be communicated to the public and medical community through Web-mapping approaches. PMID:18258029
Signal and image processing for early detection of coronary artery diseases: A review

NASA Astrophysics Data System (ADS)

Mobssite, Youness; Samir, B. Belhaouari; Mohamad Hani, Ahmed Fadzil B.

2012-09-01

Today biomedical signals and image based detection are a basic step to diagnose heart diseases, in particular, coronary artery diseases. The goal of this work is to provide non-invasive early detection of Coronary Artery Diseases relying on analyzing images and ECG signals as a combined approach to extract features, further classify and quantify the severity of DCAD by using B-splines method. In an aim of creating a prototype of screening biomedical imaging for coronary arteries to help cardiologists to decide the kind of treatment needed to reduce or control the risk of heart attack.
Advances in the understanding, management, and prevention of dengue.

PubMed

Hermann, Laura L; Gupta, Swati B; Manoff, Susan B; Kalayanarooj, Siripen; Gibbons, Robert V; Coller, Beth-Ann G

2015-03-01

Dengue causes more human morbidity globally than any other vector-borne viral disease. Recent research has led to improved epidemiological methods that predict disease burden and factors involved in transmission, a better understanding of immune responses in infection, and enhanced animal models. In addition, a number of control measures, including preventative vaccines, are in clinical trials. However, significant gaps remain, including the need for better surveillance in large parts of the world, methods to predict which individuals will develop severe disease, and immunologic correlates of protection against dengue illness. During the next decade, dengue will likely expand its geographic reach and become an increasing burden on health resources in affected areas. Licensed vaccines and antiviral agents are needed in order to effectively control dengue and limit disease. Copyright © 2014 Elsevier B.V. All rights reserved.
Severity of clinical disease and pathology in ferrets experimentally infected with influenza viruses is influenced by inoculum volume.

PubMed

Moore, Ian N; Lamirande, Elaine W; Paskel, Myeisha; Donahue, Danielle; Kenney, Heather; Qin, Jing; Subbarao, Kanta

2014-12-01

Ferrets are a valuable model for influenza virus pathogenesis, virus transmission, and antiviral therapy studies. However, the contributions of the volume of inoculum administered and the ferret's respiratory tract anatomy to disease outcome have not been explored. We noted variations in clinical disease outcomes and the volume of inoculum administered and investigated these differences by administering two influenza viruses (A/California/07/2009 [H1N1 pandemic] and A/Minnesota/11/2010 [H3N2 variant]) to ferrets intranasally at a dose of 10(6) 50% tissue culture infective doses in a range of inoculum volumes (0.2, 0.5, or 1.0 ml) and followed viral replication, clinical disease, and pathology over 6 days. Clinical illness and respiratory tract pathology were the most severe and most consistent when the viruses were administered in a volume of 1.0 ml. Using a modified micro-computed tomography imaging method and examining gross specimens, we found that the right main-stem bronchus was consistently larger in diameter than the left main-stem bronchus, though the latter was longer and straighter. These anatomic features likely influence the distribution of the inoculum in the lower respiratory tract. A 1.0-ml volume of inoculum is optimal for delivery of virus to the lower respiratory tract of ferrets, particularly when evaluation of clinical disease is desired. Furthermore, we highlight important anatomical features of the ferret lung that influence the kinetics of viral replication, clinical disease severity, and lung pathology. Ferrets are a valuable model for influenza virus pathogenesis, virus transmission, and antiviral therapy studies. Clinical disease in ferrets is an important parameter in evaluating the virulence of novel influenza viruses, and findings are extrapolated to virulence in humans. Therefore, it is highly desirable that the data from different laboratories be accurate and reproducible. We have found that, even when the same virus was administered at similar doses, different investigators reported a range of clinical disease outcomes, from asymptomatic infection to severe weight loss, ocular and nasal discharge, sneezing, and lethargy. We found that a wide range of inoculum volumes was used to experimentally infect ferrets, and we sought to determine whether the variations in disease outcome were the result of the volume of inoculum administered. These data highlight some less explored features of the model, methods of experimental infection, and clinical disease outcomes in a research setting. Copyright © 2014, American Society for Microbiology. All Rights Reserved.
Severity of Clinical Disease and Pathology in Ferrets Experimentally Infected with Influenza Viruses Is Influenced by Inoculum Volume

PubMed Central

Moore, Ian N.; Lamirande, Elaine W.; Paskel, Myeisha; Donahue, Danielle; Qin, Jing

2014-01-01

ABSTRACT Ferrets are a valuable model for influenza virus pathogenesis, virus transmission, and antiviral therapy studies. However, the contributions of the volume of inoculum administered and the ferret's respiratory tract anatomy to disease outcome have not been explored. We noted variations in clinical disease outcomes and the volume of inoculum administered and investigated these differences by administering two influenza viruses (A/California/07/2009 [H1N1 pandemic] and A/Minnesota/11/2010 [H3N2 variant]) to ferrets intranasally at a dose of 106 50% tissue culture infective doses in a range of inoculum volumes (0.2, 0.5, or 1.0 ml) and followed viral replication, clinical disease, and pathology over 6 days. Clinical illness and respiratory tract pathology were the most severe and most consistent when the viruses were administered in a volume of 1.0 ml. Using a modified micro-computed tomography imaging method and examining gross specimens, we found that the right main-stem bronchus was consistently larger in diameter than the left main-stem bronchus, though the latter was longer and straighter. These anatomic features likely influence the distribution of the inoculum in the lower respiratory tract. A 1.0-ml volume of inoculum is optimal for delivery of virus to the lower respiratory tract of ferrets, particularly when evaluation of clinical disease is desired. Furthermore, we highlight important anatomical features of the ferret lung that influence the kinetics of viral replication, clinical disease severity, and lung pathology. IMPORTANCE Ferrets are a valuable model for influenza virus pathogenesis, virus transmission, and antiviral therapy studies. Clinical disease in ferrets is an important parameter in evaluating the virulence of novel influenza viruses, and findings are extrapolated to virulence in humans. Therefore, it is highly desirable that the data from different laboratories be accurate and reproducible. We have found that, even when the same virus was administered at similar doses, different investigators reported a range of clinical disease outcomes, from asymptomatic infection to severe weight loss, ocular and nasal discharge, sneezing, and lethargy. We found that a wide range of inoculum volumes was used to experimentally infect ferrets, and we sought to determine whether the variations in disease outcome were the result of the volume of inoculum administered. These data highlight some less explored features of the model, methods of experimental infection, and clinical disease outcomes in a research setting. PMID:25187553
Neurodegenerative Models in Drosophila: Polyglutamine Disorders, Parkinson Disease, and Amyotrophic Lateral Sclerosis

PubMed Central

Ambegaokar, Surendra S.; Roy, Bidisha; Jackson, George R.

2010-01-01

Neurodegenerative diseases encompass a large group of neurological disorders. Clinical symptoms can include memory loss, cognitive impairment, loss of movement or loss of control of movement, and loss of sensation. Symptoms are typically adult onset (although severe cases can occur in adolescents) and are reflective of neuronal and glial cell loss in the central nervous system. Neurodegenerative diseases also are considered progressive, with increased severity of symptoms over time, also reflective of increased neuronal cell death. However, various neurodegenerative diseases differentially affect certain brain regions or neuronal or glial cell types. As an example, Alzheimer disease (AD) primarily affects the temporal lobe, whereas neuronal loss in Parkinson disease (PD) is largely (although not exclusively) confined to the nigrostriatal system. Neuronal loss is almost invariably accompanied by abnormal insoluble aggregates, either intra- or extracellular. Thus, neurodegenerative diseases are categorized by (a) the composite of clinical symptoms, (b) the brain regions or types of brain cells primarily affected, and (c) the types of protein aggregates found in the brain. Here we review the methods by which Drosophila melanogaster has been used to model aspects of polyglutamine diseases, Parkinson disease, and amyotrophic lateral sclerosis and key insights into that have been gained from these models; Alzheimer disease and the tauopathies are covered elsewhere in this special issue. PMID:20561920
Impaired health-related quality of life in children and adolescents with chronic conditions: a comparative analysis of 10 disease clusters and 33 disease categories/severities utilizing the PedsQL™ 4.0 Generic Core Scales

PubMed Central

Varni, James W; Limbers, Christine A; Burwinkle, Tasha M

2007-01-01

Background Advances in biomedical science and technology have resulted in dramatic improvements in the healthcare of pediatric chronic conditions. With enhanced survival, health-related quality of life (HRQOL) issues have become more salient. The objectives of this study were to compare generic HRQOL across ten chronic disease clusters and 33 disease categories/severities from the perspectives of patients and parents. Comparisons were also benchmarked with healthy children data. Methods The analyses were based on over 2,500 pediatric patients from 10 physician-diagnosed disease clusters and 33 disease categories/severities and over 9,500 healthy children utilizing the PedsQL™ 4.0 Generic Core Scales. Patients were recruited from general pediatric clinics, subspecialty clinics, and hospitals. Results Pediatric patients with diabetes, gastrointestinal conditions, cardiac conditions, asthma, obesity, end stage renal disease, psychiatric disorders, cancer, rheumatologic conditions, and cerebral palsy self-reported progressively more impaired overall HRQOL than healthy children, respectively, with medium to large effect sizes. Patients with cerebral palsy self-reported the most impaired HRQOL, while patients with diabetes self-reported the best HRQOL. Parent proxy-reports generally paralleled patient self-report, with several notable differences. Conclusion The results demonstrate differential effects of pediatric chronic conditions on patient HRQOL across diseases clusters, categories, and severities utilizing the PedsQL™ 4.0 Generic Core Scales from the perspectives of pediatric patients and parents. The data contained within this study represents a larger and more diverse population of pediatric patients with chronic conditions than previously reported in the extant literature. The findings contribute important information on the differential effects of pediatric chronic conditions on generic HRQOL from the perspectives of children and parents utilizing the PedsQL™ 4.0 Generic Core Scales. These findings with the PedsQL™ have clinical implications for the healthcare services provided for children with chronic health conditions. Given the degree of reported impairment based on PedsQL™ scores across different pediatric chronic conditions, the need for more efficacious targeted treatments for those pediatric patients with more severely impaired HRQOL is clearly and urgently indicated. PMID:17634123

Structure-Based Virtual Screening of Protein Tyrosine Phosphatase Inhibitors: Significance, Challenges, and Solutions.

PubMed

Reddy, Rallabandi Harikrishna; Kim, Hackyoung; Cha, Seungbin; Lee, Bongsoo; Kim, Young Jun

2017-05-28

Phosphorylation, a critical mechanism in biological systems, is estimated to be indispensable for about 30% of key biological activities, such as cell cycle progression, migration, and division. It is synergistically balanced by kinases and phosphatases, and any deviation from this balance leads to disease conditions. Pathway or biological activity-based abnormalities in phosphorylation and the type of involved phosphatase influence the outcome, and cause diverse diseases ranging from diabetes, rheumatoid arthritis, and numerous cancers. Protein tyrosine phosphatases (PTPs) are of prime importance in the process of dephosphorylation and catalyze several biological functions. Abnormal PTP activities are reported to result in several human diseases. Consequently, there is an increased demand for potential PTP inhibitory small molecules. Several strategies in structure-based drug designing techniques for potential inhibitory small molecules of PTPs have been explored along with traditional drug designing methods in order to overcome the hurdles in PTP inhibitor discovery. In this review, we discuss druggable PTPs and structure-based virtual screening efforts for successful PTP inhibitor design.
The coronafacoyl phytotoxins: structure, biosynthesis, regulation and biological activities.

PubMed

Bignell, Dawn R D; Cheng, Zhenlong; Bown, Luke

2018-05-01

Phytotoxins are secondary metabolites that contribute to the development and/or severity of diseases caused by various plant pathogenic microorganisms. The coronafacoyl phytotoxins are an important family of plant toxins that are known or suspected to be produced by several phylogenetically distinct plant pathogenic bacteria, including the gammaproteobacterium Pseudomonas syringae and the actinobacterium Streptomyces scabies. At least seven different family members have been identified, of which coronatine was the first to be described and is the best-characterized. Though nonessential for disease development, coronafacoyl phytotoxins appear to enhance the severity of disease symptoms induced by pathogenic microbes during host infection. In addition, the identification of coronafacoyl phytotoxin biosynthetic genes in organisms not known to be plant pathogens suggests that these metabolites may have additional roles other than as virulence factors. This review focuses on our current understanding of the structures, biosynthesis, regulation, biological activities and evolution of coronafacoyl phytotoxins as well as the different methods that are used to detect these metabolites and the organisms that produce them.
Development of imaging techniques to study the pathogenesis of biosafety level 2/3 infectious agents.

PubMed

Rella, Courtney E; Ruel, Nancy; Eugenin, Eliseo A

2014-12-01

Despite significant advances in microbiology and molecular biology over the last decades, several infectious diseases remain global concerns, resulting in the death of millions of people worldwide each year. According to the Center for Disease Control (CDC) in 2012, there were 34 million people infected with HIV, 8.7 million new cases of tuberculosis, 500 million cases of hepatitis, and 50-100 million people infected with dengue. Several of these pathogens, despite high incidence, do not have reliable clinical detection methods. New or improved protocols have been generated to enhance detection and quantitation of several pathogens using high-end microscopy (light, confocal, and STORM microscopy) and imaging software. In the current manuscript, we discuss these approaches and the theories behind these methodologies. Thus, advances in imaging techniques will open new possibilities to discover therapeutic interventions to reduce or eliminate the devastating consequences of infectious diseases. © 2014 Federation of European Microbiological Societies. Published by John Wiley & Sons Ltd. All rights reserved.
Diagnosis and management of an elderly patient with severe tracheomalacia: A case report and review of the literature

PubMed Central

JIANG, AI-GUI; GAO, XIAO-YAN; LU, HUI-YU

2013-01-01

Severe adult tracheomalacia is a dangerous disease that is difficult to manage, particularly at the time of airway infection, and has a high mortality rate. The present study reports the diagnosis and treatment of an elderly patient with severe adult tracheomalacia. In March 2012, the 59-year-old patient presented with progressive dyspnea to the Department of Respiratory Medicine, Taizhou People’s Hospital (Jiangsu, China). Following admission, chest radiography revealed symptoms consistent with chronic obstructive pulmonary disease (COPD) and chest computed tomography (CT) demonstrated an evident stenosis of the tracheal lumen at the end of expiration. Bronchoscopy revealed a 91% reduction in the cross-sectional area of the tracheal lumen at the end of expiration. Following the final diagnosis, the patient was successfully treated with nasal continuous positive airway pressure (CPAP) combined with implantation of a temporary Chinese Li’s metallic stent. These treatment methods appeared to be temporarily effective in alleviating the symptoms of the disease. PMID:24137262
Diagnosis and management of an elderly patient with severe tracheomalacia: A case report and review of the literature.

PubMed

Jiang, Ai-Gui; Gao, Xiao-Yan; Lu, Hui-Yu

2013-09-01

Severe adult tracheomalacia is a dangerous disease that is difficult to manage, particularly at the time of airway infection, and has a high mortality rate. The present study reports the diagnosis and treatment of an elderly patient with severe adult tracheomalacia. In March 2012, the 59-year-old patient presented with progressive dyspnea to the Department of Respiratory Medicine, Taizhou People's Hospital (Jiangsu, China). Following admission, chest radiography revealed symptoms consistent with chronic obstructive pulmonary disease (COPD) and chest computed tomography (CT) demonstrated an evident stenosis of the tracheal lumen at the end of expiration. Bronchoscopy revealed a 91% reduction in the cross-sectional area of the tracheal lumen at the end of expiration. Following the final diagnosis, the patient was successfully treated with nasal continuous positive airway pressure (CPAP) combined with implantation of a temporary Chinese Li's metallic stent. These treatment methods appeared to be temporarily effective in alleviating the symptoms of the disease.
Association of ERAP1, IL23R and PTGER4 Polymorphisms with Radiographic Severity of Ankylosing Spondylitis

PubMed Central

Ozen, Gulsen; Deniz, Rabia; Eren, Fatih; Erzik, Can; Unal, Ali Ugur; Yavuz, Sule; Aydin, Sibel Zehra; Inanc, Nevsun; Direskeneli, Haner; Atagunduz, Pamir

2017-01-01

Background: Radiographic severity of ankylosing spondylitis (AS) shows such great variance that some patients never develop syndesmophytes throughout the entire disease span, whereas some develop bamboo spine relatively early. Objective: To study the association between ERAP1, IL23R and PTGER4 single nucleotide polymorphisms (SNPs) and radiographic severity in AS patients. Methods: rs27044 and rs30187 (ERAP1), rs11209032 (IL23R) and rs10440635 (PTGER4) SNPs were genotyped in 235 AS patients fulfilling the modified New York criteria. Patients were classified as mild- and severe-AS according to modified Stoke AS spinal score (mSASSS). Mild-AS is defined as having mSASSS of “0” following at least 10 years of disease duration. Severe-AS is defined as having mSASSS of >20 (patients with mild vertebral changes (i.e. squaring or erosions) were omitted for clear stratification) regardless of disease duration. Results: The genotype distributions and allele frequencies of ERAP1 rs27044 and rs30187, IL23R rs11209032 and PTGER4 rs10440635 SNPs were similar in mild- (n=171, mSASSS=0, 55.6% HLA-B27 positive) and severe-AS patients (n=64, mSASSS=48.5±17.8, 73.4% HLA-B27 positive). After adjustment for clinical differences between groups (gender, disease duration, HLA-B27 and smoking status) by logistic regression analysis, none of the alleles in the investigated SNPs were found to be associated with radiographic severity of AS. Conclusion: In radiographically well-categorized AS patients, ERAP1 rs27044 and rs30187, IL23R rs11209032 and PTGER4 rs10440635 SNPs are not found to be associated with radiographic severity of AS. PMID:28400866
Evaluation of spine MRIs in athletes participating in the Rio de Janeiro 2016 Summer Olympic Games

PubMed Central

Wasserman, Michael S; Guermazi, Ali; Engbretsen, Lars; AbdelKader, Mohamad; Roemer, Frank W; Hayashi, Daichi; Mian, Asim Z

2018-01-01

Background/aim In high-level Olympic athletes, many spinal pathologies arise from overuse, while others are the result of acute injury. Our aim is to analyse the epidemiology of spinal pathologies detected on MRI in athletes participating in the 2016 Rio de Janeiro Summer Olympics. Methods In this retrospective study, all spine MRIs performed during the 2016 Rio Games were analysed. Descriptive data from the MRIs were tabulated and analysed for disc degeneration, spinal canal and/or neural foraminal narrowing, and acute/chronic fractures. Data were analysed by sport, continent of origin, age and sex. Results Of 11 274 athletes participating in the Olympic games, 100 received spine MRI. Fifty-two of the 100 (52%) athletes who received cervical, thoracic and/or lumbar spine MRI showed moderate to severe spinal disease. The highest sport-specific incidence of moderate to severe spine disease was seen in aquatic diving athletes (67%, 3 per 100 divers). Weightlifting had the second highest sport-specific incidence of spine disease (67%, 1.5 per 100 weightlifters). Athletics used the most spine MRIs (31 of 107 MRIs, 29%). European athletes had more spine MRIs than all other continents combined (55 of 107 MRIs, 51%). Athletes over 30 years old had the highest rate of moderate to severe spine disease on MRI (24 of 37 athletes >30 years old, 65%). Conclusions A high number of the world’s premier athletes demonstrated moderate to severe spine disease on MRI during the 2016 Summer Olympics, including moderate/severe degenerative disc changes with varying degrees of disc bulges and herniations. PMID:29629185
Automated Gait and Balance Parameters Diagnose and Correlate with Severity in Parkinson Disease

PubMed Central

Dewey, Daniel C.; Miocinovic, Svjetlana; Bernstein, Ira; Khemani, Pravin; Dewey, Richard B.; Querry, Ross; Chitnis, Shilpa; Dewey, Richard B.

2014-01-01

Objective To assess the suitability of instrumented gait and balance measures for diagnosis and estimation of disease severity in PD. Methods Each subject performed iTUG (instrumented Timed-Up-and-Go) and iSway (instrumented Sway) using the APDM® Mobility Lab. MDS-UPDRS parts II and III, a postural instability and gait disorder (PIGD) score, the mobility subscale of the PDQ-39, and Hoehn & Yahr stage were measured in the PD cohort. Two sets of gait and balance variables were defined by high correlation with diagnosis or disease severity and were evaluated using multiple linear and logistic regressions, ROC analyses, and t-tests. Results 135 PD subjects and 66 age-matched controls were evaluated in this prospective cohort study. We found that both iTUG and iSway variables differentiated PD subjects from controls (area under the ROC curve was 0.82 and 0.75 respectively) and correlated with all PD severity measures (R2 ranging from 0.18 to 0.61). Objective exam-based scores correlated more strongly with iTUG than iSway. The chosen set of iTUG variables was abnormal in very mild disease. Age and gender influenced gait and balance parameters and were therefore controlled in all analyses. Interpretation Our study identified sets of iTUG and iSway variables which correlate with PD severity measures and differentiate PD subjects from controls. These gait and balance measures could potentially serve as markers of PD progression and are under evaluation for this purpose in the ongoing NIH Parkinson Disease Biomarker Program. PMID:25082782
Staphylococcus aureus and Staphylococcus epidermidis strain diversity underlying pediatric atopic dermatitis.

PubMed

Byrd, Allyson L; Deming, Clay; Cassidy, Sara K B; Harrison, Oliver J; Ng, Weng-Ian; Conlan, Sean; Belkaid, Yasmine; Segre, Julia A; Kong, Heidi H

2017-07-05

The heterogeneous course, severity, and treatment responses among patients with atopic dermatitis (AD; eczema) highlight the complexity of this multifactorial disease. Prior studies have used traditional typing methods on cultivated isolates or sequenced a bacterial marker gene to study the skin microbial communities of AD patients. Shotgun metagenomic sequence analysis provides much greater resolution, elucidating multiple levels of microbial community assembly ranging from kingdom to species and strain-level diversification. We analyzed microbial temporal dynamics from a cohort of pediatric AD patients sampled throughout the disease course. Species-level investigation of AD flares showed greater Staphylococcus aureus predominance in patients with more severe disease and Staphylococcus epidermidis predominance in patients with less severe disease. At the strain level, metagenomic sequencing analyses demonstrated clonal S. aureus strains in more severe patients and heterogeneous S. epidermidis strain communities in all patients. To investigate strain-level biological effects of S. aureus , we topically colonized mice with human strains isolated from AD patients and controls. This cutaneous colonization model demonstrated S. aureus strain-specific differences in eliciting skin inflammation and immune signatures characteristic of AD patients. Specifically, S. aureus isolates from AD patients with more severe flares induced epidermal thickening and expansion of cutaneous T helper 2 (T H 2) and T H 17 cells. Integrating high-resolution sequencing, culturing, and animal models demonstrated how functional differences of staphylococcal strains may contribute to the complexity of AD disease. Copyright © 2017 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works.
Impact of Disease Severity, Illness Beliefs, and Coping Strategies on Outcomes in Psoriatic Arthritis.

PubMed

Howells, Laura; Chisholm, Anna; Cotterill, Sarah; Chinoy, Hector; Warren, Richard B; Bundy, Christine

2018-02-01

Little is known about how people with psoriatic arthritis (PsA) cope with and manage their condition, but data show that psychological problems are underrecognized and undertreated. The Common Sense Self-Regulatory Model (CS-SRM) suggests illness beliefs, mediated by coping, may influence health outcomes. The study aimed to investigate the roles of disease severity, illness beliefs, and coping strategies in predicting depression, anxiety, and quality of life (QoL) in people with PsA. Additionally, we aimed to assess the role of depression and anxiety in predicting QoL. We conducted a cross-sectional observational study, where adults with PsA (n = 179) completed validated measures of predictor (illness beliefs, coping strategies, disease severity) and outcome variables (depression, anxiety, QoL) using an online survey distributed via social media. The participants were a community sample of 179 adults with PsA, ages 20 to 72 years (77.1% female). After controlling for disease severity, hierarchical multiple regression models indicated that more negative beliefs about consequences and behavioral disengagement as a coping method predicted levels of depression, and self-blame predicted anxiety. Beliefs about consequences and the presence of depression predicted quality of life scores after controlling for disease severity. This study offers support for the use of the CS-SRM in explaining variation on psychological outcomes in individuals with PsA. The illness beliefs and coping strategies identified as predictors in this article are potential targets for interventions addressing PsA-related distress and QoL. © 2017, American College of Rheumatology.
Validation of a score tool for measurement of histological severity in juvenile dermatomyositis and association with clinical severity of disease

PubMed Central

Varsani, Hemlata; Charman, Susan C; Li, Charles K; Marie, Suely K N; Amato, Anthony A; Banwell, Brenda; Bove, Kevin E; Corse, Andrea M; Emslie-Smith, Alison M; Jacques, Thomas S; Lundberg, Ingrid E; Minetti, Carlo; Nennesmo, Inger; Rushing, Elisabeth J; Sallum, Adriana M E; Sewry, Caroline; Pilkington, Clarissa A; Holton, Janice L; Wedderburn, Lucy R

2015-01-01

Objectives To study muscle biopsy tissue from patients with juvenile dermatomyositis (JDM) in order to test the reliability of a score tool designed to quantify the severity of histological abnormalities when applied to biceps humeri in addition to quadriceps femoris. Additionally, to evaluate whether elements of the tool correlate with clinical measures of disease severity. Methods 55 patients with JDM with muscle biopsy tissue and clinical data available were included. Biopsy samples (33 quadriceps, 22 biceps) were prepared and stained using standardised protocols. A Latin square design was used by the International Juvenile Dermatomyositis Biopsy Consensus Group to score cases using our previously published score tool. Reliability was assessed by intraclass correlation coefficient (ICC) and scorer agreement (α) by assessing variation in scorers’ ratings. Scores from the most reliable tool items correlated with clinical measures of disease activity at the time of biopsy. Results Inter- and intraobserver agreement was good or high for many tool items, including overall assessment of severity using a Visual Analogue Scale. The tool functioned equally well on biceps and quadriceps samples. A modified tool using the most reliable score items showed good correlation with measures of disease activity. Conclusions The JDM biopsy score tool has high inter- and intraobserver agreement and can be used on both biceps and quadriceps muscle tissue. Importantly, the modified tool correlates well with clinical measures of disease activity. We propose that standardised assessment of muscle biopsy tissue should be considered in diagnostic investigation and clinical trials in JDM. PMID:24064003
Biological therapies in moderate and severe psoriasis: perspectives and certainties

PubMed Central

Constantin, MM; Poenaru, E; Constantin, T; Poenaru, C; Purcarea, VL; Mateescu, BR

2014-01-01

An inflammatory, proliferative condition with chronic evolution and systemic response, psoriasis, is positioned today among the most common inflammatory skin diseases affecting the Caucasian population worldwide. With a significant incidence, psoriasis has been increasingly defined as a disease with a major impact on the patient's life and the society to which he/she belongs. This paper conducts an analysis of the currently available therapies for the treatment of moderate and severe psoriasis, therapies with biological agents obtained through sophisticated genetic engineering technologies. Recent research and the increasing interest in therapeutic methods as complete and efficient as possible make us optimistic and confident in the future. PMID:25870666
Evaluating Hospital-Based Surveillance for Outbreak Detection in Bangladesh: Analysis of Healthcare Utilization Data

PubMed Central

Nikolay, Birgit; Salje, Henrik; Sturm-Ramirez, Katharine; Azziz-Baumgartner, Eduardo; Homaira, Nusrat; Iuliano, A. Danielle; Paul, Repon C.; Hossain, M. Jahangir; Cauchemez, Simon; Gurley, Emily S.

2017-01-01

Background The International Health Regulations outline core requirements to ensure the detection of public health threats of international concern. Assessing the capacity of surveillance systems to detect these threats is crucial for evaluating a country’s ability to meet these requirements. Methods and Findings We propose a framework to evaluate the sensitivity and representativeness of hospital-based surveillance and apply it to severe neurological infectious diseases and fatal respiratory infectious diseases in Bangladesh. We identified cases in selected communities within surveillance hospital catchment areas using key informant and house-to-house surveys and ascertained where cases had sought care. We estimated the probability of surveillance detecting different sized outbreaks by distance from the surveillance hospital and compared characteristics of cases identified in the community and cases attending surveillance hospitals. We estimated that surveillance detected 26% (95% CI 18%–33%) of severe neurological disease cases and 18% (95% CI 16%–21%) of fatal respiratory disease cases residing at 10 km distance from a surveillance hospital. Detection probabilities decreased markedly with distance. The probability of detecting small outbreaks (three cases) dropped below 50% at distances greater than 26 km for severe neurological disease and at distances greater than 7 km for fatal respiratory disease. Characteristics of cases attending surveillance hospitals were largely representative of all cases; however, neurological disease cases aged <5 y or from the lowest socioeconomic group and fatal respiratory disease cases aged ≥60 y were underrepresented. Our estimates of outbreak detection rely on suspected cases that attend a surveillance hospital receiving laboratory confirmation of disease and being reported to the surveillance system. The extent to which this occurs will depend on disease characteristics (e.g., severity and symptom specificity) and surveillance resources. Conclusion We present a new approach to evaluating the sensitivity and representativeness of hospital-based surveillance, making it possible to predict its ability to detect emerging threats. PMID:28095468
Comparisons between two biochemical markers in evaluating periodontal disease severity: a cross-sectional study

PubMed Central

2014-01-01

Background The purpose of this study was to compare two biochemical markers, which have been previously used to determine the degrees of alveolar bone destruction, in evaluating periodontal disease severity. Methods The WF6 epitope of chondroitin sulfate (CS) and the alkaline phosphatase (ALP) levels were determined in gingival crevicular fluid (GCF) samples collected from patients with various degrees of disease severity, including ten patients with gingivitis (50 gingivitis sites) and 33 patients with chronic periodontitis (including gingivitis, slight, moderate, and severe periodontitis sites; n = 50 each), as well as from ten healthy volunteers (50 healthy sites) by Periopaper strips. The levels of CS and ALP were measured by an ELISA and a fluorometric assay, respectively. Results The results demonstrated low levels of CS and ALP in non-destructive and slightly destructive periodontitis sites, whereas significantly high levels of these two biomolecules were shown in moderately and severely destructive sites (p < 0.05). Although a significant difference in CS levels was found between moderate and severe periodontitis sites, no difference in ALP levels was found. Stronger correlations were found between CS levels and periodontal parameters, including probing depth, loss of clinical attachment levels, gingival index and plaque index, than between ALP levels and these parameters. Conclusions It is suggested that the CS level is a better diagnostic marker than the ALP level for evaluating distinct severity of chronic periodontitis. PMID:25174345
[Diagnostics and antimicrobial therapy of severe community-acquired pneumonia].

PubMed

Sinopalnikov, A I; Zaitsev, A A

2015-04-01

In the current paper authors presented the latest information concerning etiology of severe community-acquired pneumonia. Most cases are caused by a relatively small number ofpathogenic bacterial and viral natures. The frequency of detection of various pathogens of severe community-acquired pneumonia may vary greatly depending on the region, season and clinical profile of patients, availability of relevant risk factors. Authors presented clinical characteristics of severe community-acquired pneumonia and comparative evaluation of a number of scales to assess the risk of adverse outcome of the disease. Diagnosis of severe community-acquired pneumonia includes the following: collecting of epidemiological history, identification of pneumonia, detection of sepsis and identification of multiple organ dysfunction syndrome, detection of acute respiratory failure, assessment of comorbidity. Authors gave recommendations concerning evaluation of the clinical manifestations of the disease, the use of instrumental and laboratory methods for diagnosis of severe community-acquired pneumonia. To select the mode of antimicrobial therapy is most important local monitoring antimicrobial resistance of pathogens. The main criteria for the effectiveness of treatment are to reduce body temperature, severe intoxication, respiratory and organ failure.
Soluble CD40 ligand in prediction of acute severe pancreatitis

PubMed Central

Frossard, Jean Louis; Morel, Philippe; Kwak, Brenda; Pastor, Catherine; Berney, Thierry; Buhler, Léo; Von Laufen, Alain; Demulder, Sandrine; Mach, Francois

2006-01-01

AIM: To assess the early predictability of the soluble CD40L (sCD40L) in pancreatitis severity. METHODS: Between February 2000 and February 2003, 279 consecutive patients with acute pancreatitis were prospectively enrolled in our study. In this report, 40 patients with mild and 40 patients with severe pancreatitis were randomly studied. sCD40L concentrations were measured 48 hours after admission. RESULTS: sCD40L levels were significantly higher 48 hours after admission in severe pancreatitis than in mild pancreatitis. Using a cutoff of 1 000 pg/L, the sensitivity and specificity of sCD40L to detect a severe course of the disease were 78% and 62% respectively compared to 72% and 81% for CRP. Logistic regression analysis found that CRP was the only statistically significant marker able to detect a severe course of the disease. CONCLUSION: These findings indicate that CRP remains a valuable marker to determine the severity and prognosis of acute pancreatitis whereas sCD40L levels should be assessed in further studies. PMID:16570356
Association of maternal chronic disease with risk of congenital heart disease in offspring

PubMed Central

Chou, Hsin-Hsu; Chiou, Meng-Jiun; Liang, Fu-Wen; Chen, Lea-Hua; Lu, Tsung-Hsueh; Li, Chung-Yi

2016-01-01

Background: Information about known risk factors for congenital heart disease is scarce. In this population-based study, we aimed to investigate the relation between maternal chronic disease and congenital heart disease in offspring. Methods: The study cohort consisted of 1 387 650 live births from 2004 to 2010. We identified chronic disease in mothers and mild and severe forms of congenital heart disease in their offspring from Taiwan’s National Health Insurance medical claims. We used multivariable logistic regression analysis to assess the associations of all cases and specific types of congenital heart disease with various maternal chronic diseases. Results: For mothers with the following chronic diseases, the overall prevalence of congenital heart disease in their children was significantly higher than for mothers without these diseases: diabetes mellitus type 1 (adjusted odds ratio [OR] 2.32, 95% confidence interval [CI] 1.66–3.25), diabetes mellitus type 2 (adjusted OR 2.85, 95% CI 2.60–3.12), hypertension (adjusted OR 1.87, 95% CI 1.69–2.07), congenital heart defects (adjusted OR 3.05, 95% CI 2.45–3.80), anemia (adjusted OR 1.31, 95% CI 1.25–1.38), connective tissue disorders (adjusted OR 1.39, 95% CI 1.19–1.62), epilepsy (adjusted OR 1.37, 95% CI 1.08–1.74) and mood disorders (adjusted OR 1.25, 95% CI 1.11–1.41). The same pattern held for mild forms of congenital heart disease. A higher prevalence of severe congenital heart disease was seen only among offspring of mothers with congenital heart defects or type 2 diabetes. Interpretation: The children of women with several kinds of chronic disease appear to be at risk for congenital heart disease. Preconception counselling and optimum treatment of pregnant women with chronic disease would seem prudent. PMID:27729382
Comparison of MRI segmentation techniques for measuring liver cyst volumes in autosomal dominant polycystic kidney disease.

PubMed

Farooq, Zerwa; Behzadi, Ashkan Heshmatzadeh; Blumenfeld, Jon D; Zhao, Yize; Prince, Martin R

To compare MRI segmentation methods for measuring liver cyst volumes in autosomal dominant polycystic kidney disease (ADPKD). Liver cyst volumes in 42 ADPKD patients were measured using region growing, thresholding and cyst diameter techniques. Manual segmentation was the reference standard. Root mean square deviation was 113, 155, and 500 for cyst diameter, thresholding and region growing respectively. Thresholding error for cyst volumes below 500ml was 550% vs 17% for cyst volumes above 500ml (p<0.001). For measuring volume of a small number of cysts, cyst diameter and manual segmentation methods are recommended. For severe disease with numerous, large hepatic cysts, thresholding is an acceptable alternative. Copyright © 2017 Elsevier Inc. All rights reserved.
Fully automated disease severity assessment and treatment monitoring in retinopathy of prematurity using deep learning

NASA Astrophysics Data System (ADS)

Brown, James M.; Campbell, J. Peter; Beers, Andrew; Chang, Ken; Donohue, Kyra; Ostmo, Susan; Chan, R. V. Paul; Dy, Jennifer; Erdogmus, Deniz; Ioannidis, Stratis; Chiang, Michael F.; Kalpathy-Cramer, Jayashree

2018-03-01

Retinopathy of prematurity (ROP) is a disease that affects premature infants, where abnormal growth of the retinal blood vessels can lead to blindness unless treated accordingly. Infants considered at risk of severe ROP are monitored for symptoms of plus disease, characterized by arterial tortuosity and venous dilation at the posterior pole, with a standard photographic definition. Disagreement among ROP experts in diagnosing plus disease has driven the development of computer-based methods that classify images based on hand-crafted features extracted from the vasculature. However, most of these approaches are semi-automated, which are time-consuming and subject to variability. In contrast, deep learning is a fully automated approach that has shown great promise in a wide variety of domains, including medical genetics, informatics and imaging. Convolutional neural networks (CNNs) are deep networks which learn rich representations of disease features that are highly robust to variations in acquisition and image quality. In this study, we utilized a U-Net architecture to perform vessel segmentation and then a GoogLeNet to perform disease classification. The classifier was trained on 3,000 retinal images and validated on an independent test set of patients with different observed progressions and treatments. We show that our fully automated algorithm can be used to monitor the progression of plus disease over multiple patient visits with results that are consistent with the experts' consensus diagnosis. Future work will aim to further validate the method on larger cohorts of patients to assess its applicability within the clinic as a treatment monitoring tool.
Laryngomalacia and Swallowing Function in Children

PubMed Central

Simons, Jeffrey P.; Greenberg, Laura L.; Mehta, Deepak K.; Fabio, Anthony; Maguire, Raymond C.; Mandell, David L.

2016-01-01

Objectives 1) To determine the prevalence of dysphagia in children with laryngomalacia; 2) To ascertain whether severity of laryngomalacia influences the presence of swallowing dysfunction; 3) To examine whether patients with medical comorbidities and laryngomalacia have a higher prevalence of swallowing dysfunction. Study Design Retrospective cohort study. Methods All patients seen in the Aerodigestive Center at our institution between January 2007 and December 2012 with the diagnosis of laryngomalacia were included. Swallowing function was assessed by symptoms, clinical swallowing evaluations (CSE) performed by speech pathologists, modified barium swallow studies (MBS), and fiberoptic endoscopic evaluations of swallowing (FEES). Results There were 324 patients with laryngomalacia identified (41.4% female; 58.6% male). Severity of laryngomalacia was categorized in 279 patients, with 62.7% mild, 28.7% moderate, and 8.6% severe. Gastroesophageal reflux disease (GERD) was diagnosed in 69.8% of patients. Other medical comorbidities included Down syndrome (3.1%), neurologic impairment (6.5%), and congenital heart disease (0.9%). Symptoms of dysphagia or feeding difficulty were present in 163/324 (50.3%) and failure to thrive was present in 31/324 patients (9.6%). At least one abnormal swallowing assessment was present in 97/120 (80.8%) patients presenting with subjective dysphagia and 43/65 (66.2%) patients without subjective dysphagia. A total of 140/185 (75.7%) patients had at least one abnormal baseline swallowing assessment. There was no significant relationship between severity of laryngomalacia and presence of abnormal swallowing function based on symptoms, CSE, MBS, or FEES. However, patients with greater severity were more likely to have failure to thrive. There was not a significant association between the presence of swallowing dysfunction or disease severity and medical comorbidities such as Down syndrome, neurologic impairment, or congenital heart disease. However, GERD was more likely to be present in patients with moderate and severe laryngomalacia than in patients with mild disease. Conclusion Swallowing dysfunction is common in children with laryngomalacia regardless of disease severity or other medical comorbidities. Swallowing studies are frequently abnormal in laryngomalacia patients presenting both with and without subjective symptoms of dysphagia. Dysphagia assessment should be considered as part of the evaluation of infants with laryngomalacia. Level of evidence 4 PMID:26152504

Image Processing Diagnostics: Emphysema

NASA Astrophysics Data System (ADS)

McKenzie, Alex

2009-10-01

Currently the computerized tomography (CT) scan can detect emphysema sooner than traditional x-rays, but other tests are required to measure more accurately the amount of affected lung. CT scan images show clearly if a patient has emphysema, but is unable by visual scan alone, to quantify the degree of the disease, as it appears merely as subtle, barely distinct, dark spots on the lung. Our goal is to create a software plug-in to interface with existing open source medical imaging software, to automate the process of accurately diagnosing and determining emphysema severity levels in patients. This will be accomplished by performing a number of statistical calculations using data taken from CT scan images of several patients representing a wide range of severity of the disease. These analyses include an examination of the deviation from a normal distribution curve to determine skewness, a commonly used statistical parameter. Our preliminary results show that this method of assessment appears to be more accurate and robust than currently utilized methods which involve looking at percentages of radiodensities in air passages of the lung.
Constructing an integrated gene similarity network for the identification of disease genes.

PubMed

Tian, Zhen; Guo, Maozu; Wang, Chunyu; Xing, LinLin; Wang, Lei; Zhang, Yin

2017-09-20

Discovering novel genes that are involved human diseases is a challenging task in biomedical research. In recent years, several computational approaches have been proposed to prioritize candidate disease genes. Most of these methods are mainly based on protein-protein interaction (PPI) networks. However, since these PPI networks contain false positives and only cover less half of known human genes, their reliability and coverage are very low. Therefore, it is highly necessary to fuse multiple genomic data to construct a credible gene similarity network and then infer disease genes on the whole genomic scale. We proposed a novel method, named RWRB, to infer causal genes of interested diseases. First, we construct five individual gene (protein) similarity networks based on multiple genomic data of human genes. Then, an integrated gene similarity network (IGSN) is reconstructed based on similarity network fusion (SNF) method. Finally, we employee the random walk with restart algorithm on the phenotype-gene bilayer network, which combines phenotype similarity network, IGSN as well as phenotype-gene association network, to prioritize candidate disease genes. We investigate the effectiveness of RWRB through leave-one-out cross-validation methods in inferring phenotype-gene relationships. Results show that RWRB is more accurate than state-of-the-art methods on most evaluation metrics. Further analysis shows that the success of RWRB is benefited from IGSN which has a wider coverage and higher reliability comparing with current PPI networks. Moreover, we conduct a comprehensive case study for Alzheimer's disease and predict some novel disease genes that supported by literature. RWRB is an effective and reliable algorithm in prioritizing candidate disease genes on the genomic scale. Software and supplementary information are available at http://nclab.hit.edu.cn/~tianzhen/RWRB/ .
Increased Lymphatic Vessel Length Is Associated With the Fibroblast Reticulum and Disease Severity in Usual Interstitial Pneumonia and Nonspecific Interstitial Pneumonia

PubMed Central

Cosgrove, Gregory P.; Janssen, William J.; Huie, Tristan J.; Burnham, Ellen L.; Heinz, David E.; Curran-Everett, Douglas; Sahin, Hakan; Schwarz, Marvin I.; Cool, Carlyne D.; Groshong, Steve D.; Geraci, Mark W.; Tuder, Rubin M.; Hyde, Dallas M.; Henson, Peter M.

2012-01-01

Background: Lymphangiogenesis responds to tissue injury as a key component of normal wound healing. The development of fibrosis in the idiopathic interstitial pneumonias may result from abnormal wound healing in response to injury. We hypothesize that increased lymphatic vessel (LV) length, a marker of lymphangiogenesis, is associated with parenchymal components of the fibroblast reticulum (organizing collagen, fibrotic collagen, and fibroblast foci), and its extent correlates with disease severity. Methods: We assessed stereologically the parenchymal structure of fibrotic lungs and its associated lymphatic network, which was highlighted immunohistochemically in age-matched samples of usual interstitial pneumonia (UIP), nonspecific interstitial pneumonia (NSIP) with FVC < 80%, COPD with a Global Initiative for Obstructive Lung Disease stage 0, and normal control lungs. Results: LV length density, as opposed to vessel volume density, was found to be associated with organizing and fibrotic collagen density (P < .0001). Length density of LVs and the volume density of organizing and fibrotic collagen were significantly associated with severity of both % FVC (P < .001) and diffusing capacity of the lung for carbon monoxide (P < .001). Conclusions: Severity of disease in UIP and NSIP is associated with increased LV length and is strongly associated with components of the fibroblast reticulum, namely organizing and fibrotic collagen, which supports a pathogenic role of LVs in these two diseases. Furthermore, the absence of definable differences between UIP and NSIP suggests that LVs are a unifying mechanism for the development of fibrosis in these fibrotic lung diseases. PMID:22797508
Respiratory Syncytial Virus Infection and Disease in Infants and Young Children Studied from Birth in Kilifi District, Kenya

PubMed Central

Nokes, D James; Okiro, Emelda A; Ngama, Mwanajuma; Ochola, Rachel; White, Lisa J; Scott, Paul D; English, Michael; Cane, Patricia A; Medley, Graham F

2008-01-01

Background Within the developing country setting data are few that characterise the disease burden due to RSV and which clearly define the age group to target vaccine intervention. Methods Children numbering 635, recruited 2002-03, were intensively monitored until each experienced three RSV epidemics. RSV was diagnosed by use of immunofluorescence on nasal washings collected on occurence of acute respiratory infection. Incidence estimates were adjusted for seasonality in RSV exposure. Results From 1187 child years of observation (cyo) a total of 409 RSV episodes were identifed; 365 primary and 82 repeat. Adjusted incidence estimates (per 1000cyo) of lower respiratory tract infection (LRTI), severe LRTI and hospital admission were 90, 43, and 10, respectively, and corresponding estimates in infants were 104, 66 and 13. The proportion of all-cause LRTI, severe-LRTI and hospitalizations in the cohort due to RSV was 13%, 19% and 5%, respectively. 55-65% of RSV LRTI and severe-LRTI occured in children over 6 months old. The risk of RSV disease following primary symptomatic infection remained significant beyond the first year of life and a quarter of all re-infections were associated with LRTI. Conclusions RSV accounts for a substantial proportion of the total respiratory disease in this rural population: we estimate 85,000 infant cases of severe LRTI annually in Kenya. The majority of this morbidity occurs in late infancy and early childhood; ages at which the risk of disease following infection remains significant. Disease from re-infection is common. Our results inform the debate on vaccine target age group and effectiveness. PMID:18171213
Severity of menopausal symptoms and cardiovascular and osteoporosis risk factors.

PubMed

Martínez Pérez, J A; Palacios, S; Chavida, F; Pérez, M

2013-04-01

To assess whether the severity of menopausal symptoms is related to increased cardiovascular and osteoporosis risk factors, and to determine whether women with more severe menopausal symptoms present a greater percentage of osteoporosis disease. This was a cross-sectional, descriptive study encompassing women aged 45-65 years in the whole Spanish territory. The study population sample was collected through random sampling. A total of 10 514 women were included. Their sociodemographic, medical history and lifestyle data were assessed by means of a survey. The Kupperman Index was used to assess the severity of menopausal symptoms. Bone mineral density was measured by the dual X-ray absorptiometry method. The prevalences of risk factors for osteoporosis and cardiovascular disease were 67.6% and 74.8%, respectively. Women with a higher intensity of symptoms also had a greater percentage of cardiovascular (p < 0.001) and osteoporosis (p < 0.001) risk factors and suffered more from osteoporosis disease (p < 0.001). In the logistic regression analysis, those variables that contributed to the severity of menopausal symptoms were: arterial hypertension (odds ratio (OR) 2.14; 95% confidence interval (CI) 1.49-2.79; p < 0.001), dyslipidemia (OR 1.94; 95% CI 1.48-2.4; p < 0.001), obesity (OR 2.23; 95% CI 1.55-2.91; p < 0.001), family history (OR 1.38; 95% CI 1.17-1.59; p < 0.01), medication use (OR 1.12; 95% CI 0.52-1.72; p < 0.01) and osteoporosis disease (OR 3.71; 95% CI 2.9-4.52; p < 0.001). Women with more severe menopausal symptoms had a greater prevalence of cardiovascular and osteoporosis disease risk factors and suffered more from osteoporosis disease compared to those who had milder or no menopausal symptoms.
Transcranial sonography in movement disorders: an interesting tool for diagnostic perspectives.

PubMed

Sanzaro, E; Iemolo, F

2016-03-01

Transcranial sonography has become an important tool for the diagnosis of various movement disorders. In most patients with idiopathic Parkinson disease, a markedly hyperechogenic substantia nigra (SN) was detected on at least one side. We have highlighted the sonographic features that might help the differential diagnosis of PD and other movement disorders. Our investigation involved 30 patients (age 45-85 years) with idiopathic Parkinson disease, 2 multiple system atrophy, 3 progressive supranuclear palsy and 2 patients with restless legs syndrome. In accordance with several previous studies, we detected hyperechogenicity of the SN by TCS in 90% of patients with idiopathic Parkinson disease. Subjects with a marked severity disease had a larger extent of the hyperechogenic SN signal. All progressive supranuclear palsy patients had an enlarged third ventricle and, in two cases, we observed the presence of hyperechoic areas in the lentiform nucleus. This last ultrasonographic feature was also seen in our patients with multiple system atrophy. TCS abnormalities of the SN, midbrain raphe and basal ganglia are characteristics of several movement and affective disorders. These features are less easily detected by other techniques, such as CT and MRI, which enable the exclusion of structural lesions, such as tumours and multi-infarct disease, because the physical principle differs from other imaging methods.
The role of nailfold capillaroscopy in the assessment of internal organ involvement in systemic sclerosis: A critical review.

PubMed

Soulaidopoulos, Stergios; Triantafyllidou, Eva; Garyfallos, Alexandros; Kitas, George D; Dimitroulas, Theodoros

2017-08-01

Endothelial dysfunction and microvascular damage constitute the hallmarks of systemic sclerosis (SSc), explaining much of the pathophysiology and clinical manifestations of the disease. Nailfold videocapillaroscopy (NVC) is an established method for the assessment of the microvasculature, aiding in distinguishing different types of structural vascular abnormalities. Until recently, NVC was used in the diagnosis of SSc as well as in the assessment and follow-up of peripheral digital vasculopathy. On the top of digital ulcers, internal organ involvement such as myocardial dysfunction, pulmonary vascular and/or parenchymal lung disease characterizes severe SSc imparting a high risk of mortality. There is growing evidence suggesting that the extent of peripheral microvascular changes reflects the severity of the disease, especially in terms of life-threatening cardiopulmonary complications. The possible use of nailfold videocapillaroscopy as a useful, non-invasive modality to improve the ability to identify patients at higher risk for these devastating complications of the disease remains to be established. The aim of this review is to critically summarize and discuss current literature regarding the relationship between morphological alterations of nailfold dermal papillary vessels and several manifestations of SSc, focusing on visceral organ involvement, as well as their association with surrogate markers of macrovascular disease. Copyright © 2017 Elsevier B.V. All rights reserved.
New insights into the burden and costs of multiple sclerosis in Europe

PubMed Central

Kobelt, Gisela; Thompson, Alan; Berg, Jenny; Gannedahl, Mia; Eriksson, Jennifer

2017-01-01

Background: The current focus in multiple sclerosis (MS) is on early diagnosis and drug intervention, with a view to modifying disease progression. Consequently, healthcare costs have shifted from inpatient care and rehabilitation to outpatient care. Objectives: This European burden of illness study provides data that can be combined with other evidence to assess whether management approaches provide value to society. Methods: A cross-sectional study was conducted in 16 countries. Patients reported on their disease, health-related quality of life (HRQoL) and resource consumption. Descriptive analyses were performed by disease severity. Costs are reported from a societal perspective in 2015€ PPP (adjusted for purchasing power parity). Results: The 16,808 participants had a mean age of 51.5 years, and 52% had relapsing–remitting multiple sclerosis (RRMS). Work capacity declined from 82% to 8%, and utility declined from normal population values to less than zero with advancing disease. Mean costs were 22,800€ PPP in mild, 37,100€ PPP in moderate and 57,500€ PPP in severe disease; healthcare accounted for 68%, 47% and 26%, respectively. Fatigue and cognitive difficulties were reported by 95% and 71% of participants, respectively; both had a significant independent effect on utility. Conclusion: Costs and utility were highly correlated with disease severity, but resource consumption was heavily influenced by healthcare systems organisation and availability of services. PMID:28273775
Improved Correction of Misclassification Bias With Bootstrap Imputation.

PubMed

van Walraven, Carl

2018-07-01

Diagnostic codes used in administrative database research can create bias due to misclassification. Quantitative bias analysis (QBA) can correct for this bias, requires only code sensitivity and specificity, but may return invalid results. Bootstrap imputation (BI) can also address misclassification bias but traditionally requires multivariate models to accurately estimate disease probability. This study compared misclassification bias correction using QBA and BI. Serum creatinine measures were used to determine severe renal failure status in 100,000 hospitalized patients. Prevalence of severe renal failure in 86 patient strata and its association with 43 covariates was determined and compared with results in which renal failure status was determined using diagnostic codes (sensitivity 71.3%, specificity 96.2%). Differences in results (misclassification bias) were then corrected with QBA or BI (using progressively more complex methods to estimate disease probability). In total, 7.4% of patients had severe renal failure. Imputing disease status with diagnostic codes exaggerated prevalence estimates [median relative change (range), 16.6% (0.8%-74.5%)] and its association with covariates [median (range) exponentiated absolute parameter estimate difference, 1.16 (1.01-2.04)]. QBA produced invalid results 9.3% of the time and increased bias in estimates of both disease prevalence and covariate associations. BI decreased misclassification bias with increasingly accurate disease probability estimates. QBA can produce invalid results and increase misclassification bias. BI avoids invalid results and can importantly decrease misclassification bias when accurate disease probability estimates are used.
PyHLA: tests for the association between HLA alleles and diseases.

PubMed

Fan, Yanhui; Song, You-Qiang

2017-02-06

Recently, several tools have been designed for human leukocyte antigen (HLA) typing using single nucleotide polymorphism (SNP) array and next-generation sequencing (NGS) data. These tools provide high-throughput and cost-effective approaches for identifying HLA types. Therefore, tools for downstream association analysis are highly desirable. Although several tools have been designed for multi-allelic marker association analysis, they were designed only for microsatellite markers and do not scale well with increasing data volumes, or they were designed for large-scale data but provided a limited number of tests. We have developed a Python package called PyHLA, which implements several methods for HLA association analysis, to fill the gap. PyHLA is a tailor-made, easy to use, and flexible tool designed specifically for the association analysis of the HLA types imputed from genome-wide genotyping and NGS data. PyHLA provides functions for association analysis, zygosity tests, and interaction tests between HLA alleles and diseases. Monte Carlo permutation and several methods for multiple testing corrections have also been implemented. PyHLA provides a convenient and powerful tool for HLA analysis. Existing methods have been integrated and desired methods have been added in PyHLA. Furthermore, PyHLA is applicable to small and large sample sizes and can finish the analysis in a timely manner on a personal computer with different platforms. PyHLA is implemented in Python. PyHLA is a free, open source software distributed under the GPLv2 license. The source code, tutorial, and examples are available at https://github.com/felixfan/PyHLA.
Effect of harvesting regime on beech root sprouts and seedlings in a north-central Maine forest long affected by beech bark disease

Treesearch

David R. Houston

2001-01-01

Forests in Maine often contain many trees severely damaged by the disease. Methods are needed to reduce numbers of susceptible and increase numbers of resistant trees. This paper describes how commonly-used harvesting systems affect the incidence and growth of beech root sprouts and seedlings. Harvest treatments were clearcutting and thinning in winter and summer, 1991...
Development and Application of Advanced Ophthalmic Imaging Technology to Enhance Military Ocular Health Capabilities

DTIC Science & Technology

2009-04-01

active military personnel and veterans, are affected by three major blinding diseases of the retina and optic nerve: diabetic retinopathy , age-related...disease is detected early. New advanced detection methods are available, but are only interpretable by very experienced specialists. The goal of this...consist of several steps [1-3]: feature detection ; transform model estimation; optimization function design; and optimization strategies. We do not
Comprehensive molecular diagnosis of Epstein-Barr virus-associated lymphoproliferative diseases using next-generation sequencing.

PubMed

Ono, Shintaro; Nakayama, Manabu; Kanegane, Hirokazu; Hoshino, Akihiro; Shimodera, Saeko; Shibata, Hirofumi; Fujino, Hisanori; Fujino, Takahiro; Yunomae, Yuta; Okano, Tsubasa; Yamashita, Motoi; Yasumi, Takahiro; Izawa, Kazushi; Takagi, Masatoshi; Imai, Kohsuke; Zhang, Kejian; Marsh, Rebecca; Picard, Capucine; Latour, Sylvain; Ohara, Osamu; Morio, Tomohiro

2018-05-18

Epstein-Barr virus (EBV) is associated with several life-threatening diseases, such as lymphoproliferative disease (LPD), particularly in immunocompromised hosts. Some categories of primary immunodeficiency diseases (PIDs) including X-linked lymphoproliferative syndrome (XLP), are characterized by susceptibility and vulnerability to EBV infection. The number of genetically defined PIDs is rapidly increasing, and clinical genetic testing plays an important role in establishing a definitive diagnosis. Whole-exome sequencing is performed for diagnosing rare genetic diseases, but is both expensive and time-consuming. Low-cost, high-throughput gene analysis systems are thus necessary. We developed a comprehensive molecular diagnostic method using a two-step tailed polymerase chain reaction (PCR) and a next-generation sequencing (NGS) platform to detect mutations in 23 candidate genes responsible for XLP or XLP-like diseases. Samples from 19 patients suspected of having EBV-associated LPD were used in this comprehensive molecular diagnosis. Causative gene mutations (involving PRF1 and SH2D1A) were detected in two of the 19 patients studied. This comprehensive diagnosis method effectively detected mutations in all coding exons of 23 genes with sufficient read numbers for each amplicon. This comprehensive molecular diagnostic method using PCR and NGS provides a rapid, accurate, low-cost diagnosis for patients with XLP or XLP-like diseases.
Periodontal Disease Is an Independent Predictor of Intracardiac Calcification

PubMed Central

Pressman, Gregg S.; Qasim, Atif; Verma, Nitin; Arishiro, Kumiko; Notohara, Yasuhiro; Crudu, Vitalie; Figueredo, Vincent M.

2013-01-01

Background. Periodontitis is the most common chronic inflammatory condition worldwide and is associated with incident coronary disease. Hypothesis. We hypothesized that periodontal disease would also be associated with cardiac calcification, a condition which shares many risk factors with atherosclerosis and is considered a marker of subclinical atherosclerosis. Methods. Cross-sectional study at two sites (USA and Japan) involving subjects with both clinical echocardiograms and detailed dental examinations. Semiquantitative scoring systems were used to assess severity of periodontal disease and echocardiographic calcification. Results. Fifty-six of 73 subjects (77%) had cardiac calcifications, and 51% had moderate to severe periodontal disease (score > 2). In unadjusted analysis, a significant relationship between periodontal score and cardiac calcification (Spearman rho = 0.4, P = 0.001) was noted, with increases in mean calcification score seen across increasing levels of periodontal disease. On multivariate logistic regression, adjusted for age, gender, race, glomerular filtration rate, and traditional risk factors, this association remained significant (P = 0.024). There was no significant interaction by study site, race, or gender. Conclusions. In a multiracial population, we found a significant association between the degree of periodontal disease, a chronic inflammatory condition, and cardiac calcification. Further, higher periodontal scores were associated with greater degrees of calcification. PMID:24106721
Laser-based optoelectronic system for therapy by medical treatment of cardiovascular diseases

NASA Astrophysics Data System (ADS)

Chtchoupak, Oleg S.; Shpilevoj, Boris N.; Zapaeva, Natlia L.

1996-01-01

The method and design of a system for the laser treatment of ischemic heart disease is presented. Our conceptual approach to the development of the system is based on the theoretical and experimental works of the east and west scientists about positive influence of low intensity laser irradiation in the near infrared range by treatment of cardiovascular diseases. The method and system allow active influence on the subepicardial collateral blood circulation with near infrared (NIR) laser irradiation in wavelength ranges of 0.86-1.06 mkm. The presented technique makes it possible to achieve a higher effectiveness of treatment due to individual choice of radiation parameters on the basis of analysis of the patient conditions before and after laser therapy and due to simultaneous affection at several points of the human body. Finally, results of the tests are presented, which prove given methods.
Quantification of mitral valve regurgitation in dogs with degenerative mitral valve disease by use of the proximal isovelocity surface area method.

PubMed

Gouni, Vassiliki; Serres, François J; Pouchelon, Jean-Louis; Tissier, Renaud; Lefebvre, Hervé P; Nicolle, Audrey P; Sampedrano, Carolina Carlos; Chetboul, Valérie

2007-08-01

To determine the within-day and between-day variability of regurgitant fraction (RF) assessed by use of the proximal isovelocity surface area (PISA) method in awake dogs with degenerative mitral valve disease (MVD), measure RF in dogs with MVD, and assess the correlation between RF and several clinical and Doppler echocardiographic variables. Prospective study. 6 MVD-affected dogs with no clinical signs and 67 dogs with MVD of differing severity (International Small Animal Cardiac Health Council [ISACHC] classification). The 6 dogs were used to determine the repeatability and reproducibility of the PISA method, and RF was then assessed in 67 dogs of various ISACHC classes. Mitral valve regurgitation was also assessed from the maximum area of regurgitant jet signal-to-left atrium area (ARJ/LAA) ratio determined via color Doppler echocardiographic mapping. Within- and between-day coefficients of variation of RF were 8% and 11%, respectively. Regurgitation fraction was significantly correlated with ISACHC classification and heart murmur grade and was higher in ISACHC class III dogs (mean +/- SD, 72.8 +/- 9.5%) than class II (57.9 +/- 20.1%) or I (40.7 +/- 19.2%) dogs. Regurgitation fraction and left atriumto-aorta ratio, fractional shortening, systolic pulmonary arterial pressure, and ARJ/LAA ratio were significantly correlated. Results suggested that RF is a repeatable and reproducible variable for noninvasive quantitative evaluation of mitral valve regurgitation in awake dogs. Regurgitation fraction also correlated well with disease severity. It appears that this Doppler echocardiographic index may be useful in longitudinal studies of MVD in dogs.
Independent predictors of fibrosis in patients with nonalcoholic fatty liver disease.

PubMed

Hossain, Noreen; Afendy, Arian; Stepanova, Maria; Nader, Fatema; Srishord, Manirath; Rafiq, Nila; Goodman, Zachary; Younossi, Zobair

2009-11-01

Nonalcoholic fatty liver disease (NAFLD) is a common cause of chronic liver disease. We investigated factors associated with advanced fibrosis in NAFLD. The study included 432 patients with histologically proven NAFLD (26.8% with nonalcoholic steatohepatitis [NASH] and 17.4% with moderate-to severe fibrosis). NASH was defined as steatosis, lobular inflammation, and ballooning degeneration with or without Mallory-Denk bodies and/or fibrosis. Fibrosis was classified into 2 groups: those with no or minimal fibrosis and those with moderate-to-severe fibrosis. Groups were compared using Mann-Whitney and chi-square method analyses. A model was constructed using a stepwise bidirectional method; its predictive power was measured using a 10-fold cross-validation technique. Patients with NASH were more likely to be male (P < .0001); have lower hip-to-waist ratios (P = .03); were less likely to be African American (P = .06); have higher levels of alanine aminotransferase (ALT; P < .0001), aspartate aminotransferase (AST; P < .0001), and serum triglycerides (P = .0154), but lower levels of high-density lipoprotein cholesterol (P < .0001). Patients with moderate-to-severe fibrosis were older (P = .0245); more likely to be male (P = .0189), Caucasian (P = .0382), have diabetes mellitus (P = .0238), and hypertension (P = .0375); and have a lower hip-to-waist ratio (P = .0077) but higher serum AST (P < .0001) and ALT (P < .0001) levels. The multivariate analysis model to predict moderate-to-severe fibrosis included male sex, Caucasian ethnicity, diabetes mellitus, and increased AST and ALT levels (model P value < .0001). In patients with NAFLD, diabetes mellitus and aminotransferase levels are independent predictors of moderate-to-severe fibrosis. They can be used to identify NAFLD patients at risk for advanced fibrosis.
Serum Uric Acid Levels and Uric Acid/Creatinine Ratios in Stable Chronic Obstructive Pulmonary Disease (COPD) Patients: Are These Parameters Efficient Predictors of Patients at Risk for Exacerbation and/or Severity of Disease?

PubMed

Durmus Kocak, Nagihan; Sasak, Gulsah; Aka Akturk, Ulku; Akgun, Metin; Boga, Sibel; Sengul, Aysun; Gungor, Sinem; Arinc, Sibel

2016-11-03

BACKGROUND Serum uric acid (sUA) levels were previously found to be correlated with hypoxic states. We aimed to determine the levels of sUA and sUA/creatinine ratios in stable COPD patients and to evaluate whether sUA level and sUA/creatinine ratio can be used as predictors of exacerbation risk and disease severity. MATERIAL AND METHODS This cross-sectional study included stable COPD patients and healthy controls. The sUA levels and sUA/creatinine ratios in each group were evaluated and their correlations with the study parameters were investigated. ROC analyses for exacerbation risk and disease severity were reported. RESULTS The study included 110 stable COPD patients and 52 healthy controls. The mean sUA levels and sUA/creatinine ratios were significantly higher in patients with COPD compared to healthy controls. The most common comorbidities in COPD patients were hypertension, diabetes, and coronary artery disease. While sUA levels were significantly higher in patients with hypertension (p=0.002) and malignancy (p=0.033), sUA/creatinine ratios was higher in patients with malignancy (p=0.004). The ROC analyses indicated that sUA/creatinine ratios can be more useful than sUA levels in predicting exacerbation risk (AUC, 0.586 vs. 0.426) and disease severity (AUC, 0.560 vs. 0.475) especially at higher cut-off values, but with low specificity. CONCLUSIONS Our study suggested that sUA levels and sUA/creatinine ratios increased in patients with stable COPD, especially among patients with certain comorbidities compared to healthy controls. At higher cut-off values, sUA levels and especially sUA/creatinine ratios, might be useful in predicting COPD exacerbation risk and disease severity. Also, their association with comorbidities, especially with malignancy and hypertension, may benefit from further investigation.
The relationship between different diet quality indices and severity of airflow obstruction among COPD patients

PubMed Central

Yazdanpanah, Leila; Paknahad, Zamzam; Moosavi, Ali Javad; Maracy, Mohammad Reza; Zaker, Mohammad Masoud

2016-01-01

Background: Chronic obstructive pulmonary disease (COPD) is a major public health problem worldwide. Smoking is the number one cause of COPD; however, genetic, environmental and dietary factors contribute to the etiology of this disease. In this study, we assessed the association between three diet quality indices -the Healthy Eating Index-2005 (HEI-2005), the Healthy Eating Index-2010 (HEI-2010), and Mediterranean Diet Score (MED)- and the severity of disease in COPD patients. Methods: This cross-sectional study was performed at Rasul-e-Akram Hospital in Tehran on 121 COPD patients with the mean age of (SD) of 66.1(10.9) years. A pulmonary specialist diagnosed all participants based on a spirometry test. They were categorized into four groups (1, 2, 3, 4 stages of disease). Three diet quality indices, spirometry test and determination of disease severity were performed for all the participants. ANCOVA and Kruskal-Wallis test were used to assess the relationship between dietary quality indices and severity of the disease. The relationship between HEI-2010, HEI-2005, MED score, their components and lung function was assessed using a multiple linear regression analysis. All analyses were done using SPSS 18. Results: Reduction of the Healthy Eating Index-2010 and MED score were observed along with the increase in disease severity, but they were not significant. The relationship between the three diet quality indices and lung function showed a significant association between MED score and Forced expiratory volume in one second (FEV1), The Forced Vital Capacity (FVC) (β=2.9, 95% CI (1.1, 4.8), p=0.002), (β=2.8, 95% CI (0.9, 4.8), p=0.007), respectively. Conclusion: Mediterranean dietary pattern and obtaining a better score on HEI-2010 diet were associated with a better lung function test. PMID:27493924
Variations in NPHP5 in Patients With Nonsyndromic Leber Congenital Amaurosis and Senior-Loken Syndrome

PubMed Central

Stone, Edwin M.; Cideciyan, Artur V.; Aleman, Tomas S.; Scheetz, Todd E.; Sumaroka, Alexander; Ehlinger, Mary A.; Schwartz, Sharon B.; Fishman, Gerald A.; Traboulsi, Elias I.; Lam, Byron L.; Fulton, Anne B.; Mullins, Robert F.; Sheffield, Val C.; Jacobson, Samuel G.

2014-01-01

Objective To investigate whether mutations in NPHP5 can cause Leber congenital amaurosis (LCA) without early-onset renal disease. Methods DNA samples from 276 individuals with non-syndromic LCA were screened for variations in the NPHP5 gene. Each had been previously screened for mutations in 8 known LCA genes without identifying a disease-causing genotype. Results Nine of the 276 LCA probands (3.2%) harbored 2 plausible disease-causing mutations (7 different alleles) in NPHP5. Four of these have been previously reported in patients with Senior-Loken syndrome (F141del, R461X, H506del, and R489X) and 3 are novel (A111del, E346X, and R455X). All 9 patients had severe visual loss from early childhood but none had overt renal disease in the first decade of life. Two patients were diagnosed with nephronophthisis in the second decade. Retinal imaging studies showed retained photoreceptor nuclei and retinal pigment epithelium integrity mainly in the cone-rich central retina, a phenotype with strong similarities to that of NPHP6 disease. Conclusions Mutations in NPHP5 can cause LCA without early-onset renal disease. Abnormalities observed in the photoreceptor outer segments (a cilial structure) may explain the severe visual loss in NPHP5-associated LCA. Clinical Relevance The persistence of central photoreceptor nuclei despite severe visual loss in NPHP5 disease is encouraging for future therapeutic interventions. PMID:21220633

Pulsatile flow of non-Newtonian blood fluid inside stenosed arteries: Investigating the effects of viscoelastic and elastic walls, arteriosclerosis, and polycythemia diseases.

PubMed

Nejad, A Abbas; Talebi, Z; Cheraghali, D; Shahbani-Zahiri, A; Norouzi, M

2018-02-01

In this study, the interaction of pulsatile blood flow with the viscoelastic walls of the axisymmetric artery is numerically investigated for different severities of stenosis. The geometry of artery is modeled by an axisymmetric cylindrical tube with a symmetric stenosis in a two-dimensional case. The effects of stenosis severity on the axial velocity profile, pressure distribution, streamlines, wall shear stress, and wall radial displacement for the viscoelastic artery are also compared to the elastics artery. Furthermore, the effects of atherosclerosis and polycythemia diseases on the hemodynamics and the mechanical behavior of arterial walls are investigated. The pulsatile flow of non-Newtonian blood is simulated inside the viscoelastic artery using the COMSOL Multiphysics software (version 5) and by employing the fluid-structure interaction (FSI) method and the arbitrary Lagrangian-Eulerian (ALE) method. Moreover, finite element method (FEM) is used to solve the governing equations on the unstructured grids. For modeling the non-Newtonian blood fluid and the viscoelastic arterial wall, the modified Casson model, and generalized Maxwell model are used, respectively. According to the results, with stenosis severity increasing from 25% to 75% at the time of maximum volumetric flow rate, the maximum value of axial velocity and its gradient increase 7.9 and 19.6 times, and the maximum wall shear stress of viscoelastic wall increases 24.2 times in the constriction zone. With the progression of the atherosclerosis disease (fivefold growth of arterial elastic modulus), the wall radial displacement of viscoelastic arterial walls decreases nearly 40%. In this study, axial velocity profile, pressure distribution, streamlines, wall radial displacement, and wall shear stress were examined for different percentages of stenosis (25%, 50%, and 75%). The atherosclerosis disease was investigated by the fivefold growth of viscoelastic arterial elastic modulus and polycythemia disease was examined by the 21-fold increase in the yield stress of the blood fluid. Furthermore, the comparison of results between the elastic and viscoelastic arterial walls shows that the wall radial displacement for viscoelastic artery is lower than that for the elastic artery as much as 21.7% for the severe stenosis of 75%. Copyright © 2017 Elsevier B.V. All rights reserved.
Human Metapneumovirus Infection is Associated with Severe Respiratory Disease in Preschool Children with History of Prematurity

PubMed Central

Pancham, Krishna; Sami, Iman; Perez, Geovanny F.; Huseni, Shehlanoor; Kurdi, Bassem; Rose, Mary C.; Rodriguez-Martinez, Carlos E.; Nino, Gustavo

2017-01-01

Rationale Human metapneumovirus (HMPV) is a recently discovered respiratory pathogen of the family Paramyxoviridae, the same of Respiratory Syncytial Virus (RSV). Premature children are at high risk of severe RSV infections, but it is unclear whether HMPV infection is more severe in hospitalized children with history of severe prematurity. Methods We conducted a retrospective analysis of the clinical respiratory presentation of all PCR-confirmed HMPV infections in preschool age children (≤5 yrs.) with and without history of severe prematurity (<32 weeks gestation). Respiratory distress scores were developed to examine the clinical severity of HMPV infections. Demographic and clinical variables were obtained from reviewing electronic medical records (EMR). Results A total of 571 pre-school children were identified by PCR-confirmed viral respiratory tract infection during the study period. HMPV was identified as a causative organism in 63 cases (11%). Fifty–eight (n=58) preschool age children with HMPV infection were included in this study after excluding those with significant co-morbidities. Our data demonstrated that 32.7% of children admitted with HMPV had history of severe prematurity. Preschool children with history of prematurity had more severe HMPV disease as illustrated by longer hospitalizations, new or increased need for supplemental O2, and higher severity scores independently of age, ethnicity and history of asthma. Conclusion Our study suggests that HMPV infection causes significant disease burden among preschool children with history of prematurity leading to severe respiratory infections and increasing health care resource utilization due to prolonged hospitalizations. PMID:26117550
Heartburn Severity Does Not Predict Disease Severity in Patients With Erosive Esophagitis

PubMed Central

Fennerty, M. Brian; Johnson, David A.

2006-01-01

Background For patients with gastroesophageal reflux disease (GERD), it is often assumed by treating physicians that the severity of heartburn correlates with the severity of erosive esophagitis (EE). Objective This is a post hoc analysis of data from 5 clinical trials that investigate the relationship between the baseline severity of heartburn and the baseline severity of EE. Methods Patients with endoscopically confirmed EE were assessed for heartburn symptoms with a 4-point scale at baseline and during treatment for 8 weeks with various proton pump inhibitors in 5 double-blind trials in which esomeprazole was the common comparator. EE was graded with the Los Angeles (LA) classification system. In these trials, healing and symptom response were evaluated by endoscopy and questionnaire after 4 weeks of treatment. Patients who were not healed were treated for an additional 4 weeks and reevaluated. Results A total of 11,945 patients with endoscopically confirmed EE participated in the 5 trials, with patients receiving esomeprazole 40 mg (n = 5068), esomeprazole 20 mg (n = 1243), omeprazole 20 mg (n = 3018), or lansoprazole 30 mg (n = 2616). Approximately one quarter of the 11,945 GERD patients in these 5 trials had severe EE (defined as LA grades C or D), regardless of their baseline heartburn severity. Conclusion The severity of GERD symptoms does not correlate well with disease severity. These findings indicate that endoscopy may have value in GERD patients in identifying those with EE, and if empirical therapy is chosen, then longer courses (4-8 weeks) of antisecretory therapy may be necessary to ensure healing of unrecognized esophagitis. PMID:16926745
Active learning based segmentation of Crohns disease from abdominal MRI.

PubMed

Mahapatra, Dwarikanath; Vos, Franciscus M; Buhmann, Joachim M

2016-05-01

This paper proposes a novel active learning (AL) framework, and combines it with semi supervised learning (SSL) for segmenting Crohns disease (CD) tissues from abdominal magnetic resonance (MR) images. Robust fully supervised learning (FSL) based classifiers require lots of labeled data of different disease severities. Obtaining such data is time consuming and requires considerable expertise. SSL methods use a few labeled samples, and leverage the information from many unlabeled samples to train an accurate classifier. AL queries labels of most informative samples and maximizes gain from the labeling effort. Our primary contribution is in designing a query strategy that combines novel context information with classification uncertainty and feature similarity. Combining SSL and AL gives a robust segmentation method that: (1) optimally uses few labeled samples and many unlabeled samples; and (2) requires lower training time. Experimental results show our method achieves higher segmentation accuracy than FSL methods with fewer samples and reduced training effort. Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.
Discovering transnosological molecular basis of human brain diseases using biclustering analysis of integrated gene expression data.

PubMed

Cha, Kihoon; Hwang, Taeho; Oh, Kimin; Yi, Gwan-Su

2015-01-01

It has been reported that several brain diseases can be treated as transnosological manner implicating possible common molecular basis under those diseases. However, molecular level commonality among those brain diseases has been largely unexplored. Gene expression analyses of human brain have been used to find genes associated with brain diseases but most of those studies were restricted either to an individual disease or to a couple of diseases. In addition, identifying significant genes in such brain diseases mostly failed when it used typical methods depending on differentially expressed genes. In this study, we used a correlation-based biclustering approach to find coexpressed gene sets in five neurodegenerative diseases and three psychiatric disorders. By using biclustering analysis, we could efficiently and fairly identified various gene sets expressed specifically in both single and multiple brain diseases. We could find 4,307 gene sets correlatively expressed in multiple brain diseases and 3,409 gene sets exclusively specified in individual brain diseases. The function enrichment analysis of those gene sets showed many new possible functional bases as well as neurological processes that are common or specific for those eight diseases. This study introduces possible common molecular bases for several brain diseases, which open the opportunity to clarify the transnosological perspective assumed in brain diseases. It also showed the advantages of correlation-based biclustering analysis and accompanying function enrichment analysis for gene expression data in this type of investigation.
Discovering transnosological molecular basis of human brain diseases using biclustering analysis of integrated gene expression data

PubMed Central

2015-01-01

Background It has been reported that several brain diseases can be treated as transnosological manner implicating possible common molecular basis under those diseases. However, molecular level commonality among those brain diseases has been largely unexplored. Gene expression analyses of human brain have been used to find genes associated with brain diseases but most of those studies were restricted either to an individual disease or to a couple of diseases. In addition, identifying significant genes in such brain diseases mostly failed when it used typical methods depending on differentially expressed genes. Results In this study, we used a correlation-based biclustering approach to find coexpressed gene sets in five neurodegenerative diseases and three psychiatric disorders. By using biclustering analysis, we could efficiently and fairly identified various gene sets expressed specifically in both single and multiple brain diseases. We could find 4,307 gene sets correlatively expressed in multiple brain diseases and 3,409 gene sets exclusively specified in individual brain diseases. The function enrichment analysis of those gene sets showed many new possible functional bases as well as neurological processes that are common or specific for those eight diseases. Conclusions This study introduces possible common molecular bases for several brain diseases, which open the opportunity to clarify the transnosological perspective assumed in brain diseases. It also showed the advantages of correlation-based biclustering analysis and accompanying function enrichment analysis for gene expression data in this type of investigation. PMID:26043779
Common dental and periodontal diseases: evaluation and management.

PubMed

Laudenbach, Joel M; Simon, Ziv

2014-11-01

Physicians may encounter patients with dental and periodontal diseases in the context of outpatient medical practice. It is important for physicians to be aware of common dental and periodontal conditions and be able to assess for the presence and severity of these diseases. This article reviews common dental and periodontal conditions, their cardinal signs and symptoms, outpatient-setting assessment techniques, as well as common methods of treatment. Physicians detecting gross abnormalities on clinical examination should refer the patient to a dentist for further evaluation and management. Copyright © 2014 Elsevier Inc. All rights reserved.
Birth month affects lifetime disease risk: a phenome-wide method.

PubMed

Boland, Mary Regina; Shahn, Zachary; Madigan, David; Hripcsak, George; Tatonetti, Nicholas P

2015-09-01

An individual's birth month has a significant impact on the diseases they develop during their lifetime. Previous studies reveal relationships between birth month and several diseases including atherothrombosis, asthma, attention deficit hyperactivity disorder, and myopia, leaving most diseases completely unexplored. This retrospective population study systematically explores the relationship between seasonal affects at birth and lifetime disease risk for 1688 conditions. We developed a hypothesis-free method that minimizes publication and disease selection biases by systematically investigating disease-birth month patterns across all conditions. Our dataset includes 1 749 400 individuals with records at New York-Presbyterian/Columbia University Medical Center born between 1900 and 2000 inclusive. We modeled associations between birth month and 1688 diseases using logistic regression. Significance was tested using a chi-squared test with multiplicity correction. We found 55 diseases that were significantly dependent on birth month. Of these 19 were previously reported in the literature (P < .001), 20 were for conditions with close relationships to those reported, and 16 were previously unreported. We found distinct incidence patterns across disease categories. Lifetime disease risk is affected by birth month. Seasonally dependent early developmental mechanisms may play a role in increasing lifetime risk of disease. © The Author 2015. Published by Oxford University Press on behalf of the American Medical Informatics Association.
Cystic fibrosis liver disease - from diagnosis to risk factors.

PubMed

Ciucă, Ioana Mihaiela; Pop, Liviu; Tămaş, Liviu; Tăban, Sorina

2014-01-01

Cystic fibrosis (CF) is the most frequent monogenic genetic disease, autosomal recessive transmitted, characterized by an impressive clinical polymorphism and appreciative fatal prospective. Liver disease is the second non-pulmonary cause of death in cystic fibrosis, which, with increasing life expectancy, became an important management problem. Predisposing factors like male gender, pancreatic insufficiency, meconium ileus and severe mutation are incriminated to influence the occurrence of cystic fibrosis associated liver disease (CFLD). Our study included 174 patients with CF, monitored in the National Cystic Fibrosis Centre, Timisoara, Romania. They were routinely followed-up by clinical assessment, liver biochemical tests, ultrasound examinations and other methods like transient elastography, biopsy, in selected cases. Sixty-six patients, with median age at diagnosis 4.33 years, diagnosed with CFLD, without significant gender gap. CFLD was frequent in patients aged over eight years, with meconium ileus history, carriers of severe mutations (p=0.002). Pancreatic insufficiency, although present in 75% of patients with CFLD was not confirmed as risk factor, not male gender, in our study. CF children older than eight years, carriers of a severe genotype, with a positive history of meconium ileus, were more likely predisposed to CFLD.
A New Approach to Investigate the Association between Brain Functional Connectivity and Disease Characteristics of Attention-Deficit/Hyperactivity Disorder: Topological Neuroimaging Data Analysis.

PubMed

Kyeong, Sunghyon; Park, Seonjeong; Cheon, Keun-Ah; Kim, Jae-Jin; Song, Dong-Ho; Kim, Eunjoo

2015-01-01

Attention-deficit/hyperactivity disorder (ADHD) is currently diagnosed by a diagnostic interview, mainly based on subjective reports from parents or teachers. It is necessary to develop methods that rely on objectively measureable neurobiological data to assess brain-behavior relationship in patients with ADHD. We investigated the application of a topological data analysis tool, Mapper, to analyze the brain functional connectivity data from ADHD patients. To quantify the disease severity using the neuroimaging data, the decomposition of individual functional networks into normal and disease components by the healthy state model (HSM) was performed, and the magnitude of the disease component (MDC) was computed. Topological data analysis using Mapper was performed to distinguish children with ADHD (n = 196) from typically developing controls (TDC) (n = 214). In the topological data analysis, the partial clustering results of patients with ADHD and normal subjects were shown in a chain-like graph. In the correlation analysis, the MDC showed a significant increase with lower intelligence scores in TDC. We also found that the rates of comorbidity in ADHD significantly increased when the deviation of the functional connectivity from HSM was large. In addition, a significant correlation between ADHD symptom severity and MDC was found in part of the dataset. The application of HSM and topological data analysis methods in assessing the brain functional connectivity seem to be promising tools to quantify ADHD symptom severity and to reveal the hidden relationship between clinical phenotypic variables and brain connectivity.
Severity of chronic Lyme disease compared to other chronic conditions: a quality of life survey

PubMed Central

Johnson, Lorraine; Wilcox, Spencer; Mankoff, Jennifer

2014-01-01

Overview. The Centers for Disease Control and Prevention (CDC) health-related quality of life (HRQoL) indicators are widely used in the general population to determine the burden of disease, identify health needs, and direct public health policy. These indicators also allow the burden of illness to be compared across different diseases. Although Lyme disease has recently been acknowledged as a major health threat in the USA with more than 300,000 new cases per year, no comprehensive assessment of the health burden of this tickborne disease is available. This study assesses the HRQoL of patients with chronic Lyme disease (CLD) and compares the severity of CLD to other chronic conditions. Methods. Of 5,357 subjects who responded to an online survey, 3,090 were selected for the study. Respondents were characterized as having CLD if they were clinically diagnosed with Lyme disease and had persisting symptoms lasting more than 6 months following antibiotic treatment. HRQoL of CLD patients was assessed using the CDC 9-item metric. The HRQoL analysis for CLD was compared to published analyses for the general population and other chronic illnesses using standard statistical methods. Results. Compared to the general population and patients with other chronic diseases reviewed here, patients with CLD reported significantly lower health quality status, more bad mental and physical health days, a significant symptom disease burden, and greater activity limitations. They also reported impairment in their ability to work, increased utilization of healthcare services, and greater out of pocket medical costs. Conclusions. CLD patients have significantly impaired HRQoL and greater healthcare utilization compared to the general population and patients with other chronic diseases. The heavy burden of illness associated with CLD highlights the need for earlier diagnosis and innovative treatment approaches that may reduce the burden of illness and concomitant costs posed by this illness. PMID:24749006
Detection of gastro-oesophageal reflux disease (GORD) in patients with obstructive lung disease using exhaled breath profiling.

PubMed

Timms, Chris; Thomas, Paul S; Yates, Deborah H

2012-03-01

Gastro-oesophageal reflux disease (GORD) has been implicated in the worsening of several respiratory disorders. Current methods of diagnosis lack accuracy, are invasive and can be costly. Recently, novel methods of analysing lung pathophysiology have been developed including the use of an electronic nose and analysis of components of exhaled breath condensate (EBC). We hypothesised that these methods would distinguish patients with GORD from those without GORD in the common obstructive lung diseases and healthy controls. In a cross-sectional study, exhaled breath was analysed using the Cyranose 320 electronic nose, using principal components and canonical discriminant analyses. EBC pH and pepsin were quantified using a pH meter and an enzyme-linked immunosorbent assay, respectively. A standardized reflux disease questionnaire (RDQ) was used to assess reflux symptoms. The Cyranose 320 distinguished exhaled breath profiles of obstructive lung disease patients without GORD from obstructive lung disease patients with GORD (p = 0.023, accuracy 67.6%), asthmatic patients with reflux from asthmatics without GORD (85%, p = < 0.015, interclass M distance > 2.8), but did not produce as robust a profile for patients with COPD and COPD with GORD (p = 0.047, accuracy 64%). Patients with obstructive lung disease and GORD had significantly higher levels of EBC pepsin (9.81 ± interquartile range (IQR) 4.38 ng ml(-1)) than those without GORD (4.6 ± IQR 6.95 ng ml(-1)), as well as healthy controls (3.44 ± IQR 7.87 ng ml(-1); p = < 0.013). EBC pH was not significantly related to the presence of GORD in any group. The RDQ results correlated significantly with the presence of EBC pepsin. This pilot study has shown that exhaled breath profiling can be used for detecting GORD in obstructive lung diseases. While the electronic nose was useful in asthma, EBC pepsin was more helpful in COPD. In this study, several different confounders could potentially have affected results and larger prospective interventional studies are needed.
A discussion on disease severity index values: using the disease severity index for null hypothesis testing

USDA-ARS?s Scientific Manuscript database

A disease severity index (DSI) is a single number for summarizing a large amount of information on disease severity. It has been used to indicate the performance of a cultivar in regard to disease resistance at a particular location, to relate disease severity to yield loss, to determine the effecti...
Role of clinical questionnaires in optimizing everyday care of chronic obstructive pulmonary disease

PubMed Central

Jones, Paul W; Price, David; van der Molen, Thys

2011-01-01

Chronic obstructive pulmonary disease (COPD) is a leading cause of disability in all its stages, and death in patients with moderate or severe obstruction. At present, COPD is suboptimally managed; current health is often not measured properly and hardly taken into account in management plans, and the future risk for patients with regard to health status and quality of life is not being evaluated. This review addresses the effect of COPD on the lives of patients and examines ways in which existing assessment tools meet physicians’ needs for a standardized, simple method to measure consistently the full impact of COPD on patients in routine clinical practice. Current assessment of COPD severity tends to focus on airflow limitation, but this does not capture the full impact of the disease and is not well correlated with patient perception of symptoms and health-related quality of life. Qualitative studies have demonstrated that patients usually consider COPD impact in terms of frequency and severity of symptoms, and physical and emotional wellbeing. However, patients often have difficulty expressing their disease burden and physicians generally have insufficient time to collect this information. Therefore, it is important that methods are implemented to help generate a more complete understanding of the impact of COPD. This can be achieved most efficiently using a quick, reliable, and standardized measure of disease impact, such as a short questionnaire that can be applied in daily clinical practice. Questionnaires are precision instruments that contribute sensitive and specific information, and can potentially help physicians provide optimal care for patients with COPD. Two short, easy-to-use, specific measures, ie, the COPD Assessment Test and the Clinical COPD Questionnaire, enable physicians to assess patients’ health status accurately and improve disease management. Such questionnaires provide important measurements that can assist primary care physicians to capture the impact of COPD on patients’ daily lives and wellbeing, and improve long-term COPD management. PMID:21697993
Factors Associated with Myelosuppression Related to Low-Dose Methotrexate Therapy for Inflammatory Rheumatic Diseases

PubMed Central

Mori, Shunsuke; Hidaka, Michihiro; Kawakita, Toshiro; Hidaka, Toshihiko; Tsuda, Hiroyuki; Yoshitama, Tamami; Migita, Kiyoshi; Ueki, Yukitaka

2016-01-01

Objective Severe myelosuppression is a serious concern in the management of rheumatic disease patients receiving methotrexate (MTX) therapy. This study was intended to explore factors associated with the development of MTX-related myelosuppression and its disease severity. Methods We retrospectively examined a total of 40 cases of MTX-related myelosuppression that had been filed in the registries of participating rheumatology and hematology divisions. Data before onset were compared with those of 120 controls matched for age and sex. Cytopenia was graded according to the National Cancer Institute criteria for adverse events. Data before and at onset were compared between the severe and non-severe groups. Results Non-use of folic acid supplements, concurrent medications, and low renal function were significantly associated with the development of myelosuppression (p < 0.001, p < 0.001, and p = 0.002, respectively). In addition, significantly lower MTX dosages, higher blood cell counts, and lower hemoglobin levels were seen in the myelosuppression group (p < 0.001). No patients exhibited leukocytopenia, neutropenia, or thrombocytopenia in routine blood monitoring taken within the past month. One-fourth developed myelosuppression within the first two months (an early-onset period). Myelosuppression was severe in approximately 40% of patients. Hypoalbuminemia and non-use of folic acid supplements were significantly associated with the severity of pancytopenia (p = 0.001 and 0.008, respectively). Besides these two factors, early onset and the use of lower doses of MTX were significantly associated with the severity of neutropenia (p = 0.003, 0.007, 0.003, and 0.002, respectively). Conclusions Myelosuppression can occur abruptly at any time during low-dose MTX therapy, but severe neutropenia is more likely to occur in the early-onset period of this therapy. Contrary to our expectations, disease severity was not dependent on MTX doses. Serum albumin levels and folic acid supplementation are the important factors affecting the severity of MTX-related pancytopenia and neutropenia. PMID:27128679
Economic Impact of Dementia by Disease Severity: Exploring the Relationship between Stage of Dementia and Cost of Care in Taiwan

PubMed Central

Ku, Li-Jung Elizabeth; Pai, Ming-Chyi; Shih, Pei-Yu

2016-01-01

Objective Given the shortage of cost-of-illness studies in dementia outside of the Western population, the current study estimated the annual cost of dementia in Taiwan and assessed whether different categories of care costs vary by severity using multiple disease-severity measures. Methods This study included 231 dementia patient–caregiver dyads in a dementia clinic at a national university hospital in southern Taiwan. Three disease measures including cognitive, functional, and behavioral disturbances were obtained from patients based on medical history. A societal perspective was used to estimate the total costs of dementia according to three cost sub-categories. The association between dementia severity and cost of care was examined through bivariate and multivariate analyses. Results Total costs of care for moderate dementia patient were 1.4 times the costs for mild dementia and doubled from mild to severe dementia among our community-dwelling dementia sample. Multivariate analysis indicated that functional declines had a greater impact on all cost outcomes as compared to behavioral disturbance, which showed no impact on any costs. Informal care costs accounted for the greatest share in total cost of care for both mild (42%) and severe (43%) dementia patients. Conclusions Since the total costs of dementia increased with severity, providing care to delay disease progression, with a focus on maintaining patient physical function, may reduce the overall cost of dementia. The greater contribution of informal care to total costs as opposed to social care also suggests a need for more publicly-funded long-term care services to assist family caregivers of dementia patients in Taiwan. PMID:26859891
Severity of Coexisting Patellofemoral Disease is Associated with Increased Impairments and Functional Limitations in Patients with Knee Osteoarthritis

PubMed Central

Farrokhi, Shawn; Piva, Sara R.; Gil, Alexandra B.; Oddis, Chester V.; Brooks, Maria M.; Fitzgerald, G. Kelley

2012-01-01

Objective To evaluate the association between severity of coexisting patellofemoral (PF) disease with lower limb impairments and functional limitations in patients with tibiofemoral (TF) osteoarthritis (OA). Methods Radiographic views of the TF and PF compartments, knee extension strength and knee range of motion were obtained for 167 patients with knee OA. Additionally, knee-specific symptoms and functional limitations were assessed using the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) and Activities of Daily Living Scale (ADLS). Results “Moderate/Severe PFOA” was associated with lower knee extension strength (1.4±0.5 Nm/BW) compared to “No PFOA” (1.8±0.5 Nm/BW). Additionally, total knee range of motion was significantly lower for patients with “Moderate/Severe PFOA” (120.8°±14.4°) compared to “No PFOA” (133.5°±10.7°) and “Mild PFOA” (125.8°±13.0°). “Moderate/Severe PFOA” and “Mild PFOA” were also associated with less pain while standing (OR= 0.2; 95% CI: 0.1,0.7 and OR= 0.2; 95% CI: 0.1,0.6, respectively) on the WOMAC and “Moderate/Severe PFOA” was associated with greater difficulty with going downstairs (OR=2.9; 95% CI: 1.0,8.1) on the ADLS. Conclusion It appears that knees with more severe coexisting PF disease demonstrate features distinct from those observed in TFOA in isolation or in combination with mild PF disease. Treatment strategies targeting the PF joint may be warranted to mitigate the specific lower limb impairments and functional problems present in this patient population. PMID:23045243
Impact of chronic obstructive pulmonary diseases on left ventricular diastolic function in hospitalized elderly patients

PubMed Central

Huang, Ying-Shuo; Feng, Ying-Chao; Zhang, Jian; Bai, Li; Huang, Wei; Li, Min; Sun, Ying

2015-01-01

Objective To evaluate the impact of chronic obstructive pulmonary disease (COPD) on left ventricular (LV) diastolic function in hospitalized elderly patients. Methods This was a case–control observational study of 148 consecutive hospitalized elderly patients (≥65 years old): 73 subjects without COPD as controls and 75 patients with COPD. Mild-to-moderate COPD was defined as stages 1 and 2, while severe and very severe COPD was defined as stages 3 and 4, according to the Global Initiative for Chronic Obstructive Lung Disease guidelines. Clinical characteristics and echocardiographic parameters were analyzed and compared. Results Compared with the control group, patients with COPD had a higher frequency of LV diastolic dysfunction and heart failure with preserved ejection fraction. Smoking frequency, frequency of cerebrovascular diseases and diabetes, and serum N-terminal pro-B-type natriuretic peptide (NT-proBNP) levels were higher in the COPD group (all P<0.05). COPD patients showed more abnormalities in diastolic function (E/e′: 11.51±2.50 vs 10.42±3.25, P=0.047), but no differences in systolic function and right ventricular function (all P>0.05). Patients with severe/very severe COPD showed no differences in LV diastolic function compared to patients with mild/moderate COPD (P>0.05), but serum NT-proBNP levels were higher in severe/very severe COPD (P<0.05). Conclusion Results suggest that early-stage COPD may have an impact on the LV diastolic function. Severe COPD mainly affected right ventricular function. In hospitalized elderly patients with COPD, LV diastolic dysfunction should be taken into account together with right ventricular function. PMID:25565790
Computational and Experimental Approaches to Reveal the Effects of Single Nucleotide Polymorphisms with Respect to Disease Diagnostics

PubMed Central

Kucukkal, Tugba G.; Yang, Ye; Chapman, Susan C.; Cao, Weiguo; Alexov, Emil

2014-01-01

DNA mutations are the cause of many human diseases and they are the reason for natural differences among individuals by affecting the structure, function, interactions, and other properties of DNA and expressed proteins. The ability to predict whether a given mutation is disease-causing or harmless is of great importance for the early detection of patients with a high risk of developing a particular disease and would pave the way for personalized medicine and diagnostics. Here we review existing methods and techniques to study and predict the effects of DNA mutations from three different perspectives: in silico, in vitro and in vivo. It is emphasized that the problem is complicated and successful detection of a pathogenic mutation frequently requires a combination of several methods and a knowledge of the biological phenomena associated with the corresponding macromolecules. PMID:24886813
Faecal microbiota transplant - prospects and safety.

PubMed

Bartnicka, Anna; Szachta, Patrycja; Gałecka, Mirosława

2015-01-01

The intestinal microbiota, either directly or indirectly, plays an important role in maintaining the homeostasis of the body. The intestine microorganisms are significant due to the role they play in stimulating the development of the immune system, protecting against pathogens, and also managing metabolic and nutrient processing. The effectiveness of probiotics and prebiotics in various gastrointestinal diseases has been repeatedly confirmed. However, increasing interest in faecal transplantation has also been observed. Its efficacy in the treatment of pseudomembranous colitis has been repeatedly demonstrated. More often this method is discussed regarding the possibility of using it in other diseases linked with dysbiosis. Faecal microbiota transplantation, because of its rapid efficacy, minimal risk and adverse effects, relatively low cost, and the ability to re-establish the correct intestinal microbiota profile, could be an alternative treatment method in several other diseases. This paper will introduce the latest therapeutic aspects of microbiota transplantation, including its implications in the treatment of gastrointestinal diseases.

The burden of mental disorders: a comparison of methods between the Australian burden of disease studies and the Global Burden of Disease study.

PubMed Central

Vos, T.; Mathers, C. D.

2000-01-01

The national and Victorian burden of disease studies in Australia set out to examine critically the methods used in the Global Burden of Disease study to estimate the burden of mental disorders. The main differences include the use of a different set of disability weights allowing estimates in greater detail by level of severity, adjustments for comorbidity between mental disorders, a greater number of mental disorders measured, and modelling of substance use disorders, anxiety disorders and bipolar disorder as chronic conditions. Uniform age-weighting in the Australian studies produces considerably lower estimates of the burden due to mental disorders in comparison with age-weighted disability-adjusted life years. A lack of follow-up data on people with mental disorders who are identified in cross-sectional surveys poses the greatest challenge in determining the burden of mental disorders more accurately. PMID:10885161
Validity of body composition assessment methods for older men with cardiac disease.

PubMed

Young, H; Porcari, J; Terry, L; Brice, G

1998-01-01

This study was designed to determine which of several body composition assessment methods was most accurate for patients with cardiac disease for the purpose of outcome measurement. Six body composition assessment methods were administered to each of 24 men with cardiac disease. Methods included circumference measurement, skinfold measurement, near-infrared interactance via the Futrex-5000, bioelectrical impedance via the BioAnalogics ElectroLipoGraph and Tanita TBF-150, and hydrostatic weighing, the criterion measure. A repeated measures analysis of variance indicated no significant (P > .05) difference between circumference and skinfold measurements compared to hydrostatic weighing. Near-infrared interactance presented the best standard error of estimates (3.5%) and the best correlation (r = .84) with hydrostatic weighing; however, the constant error was 3.76%. Bioelectrical impedance measured by the ElectroLipoGraph and TBF-150 instruments significantly underestimated percent body fat by 8.81% and 4.8%, respectively. In this study of middle-aged to older men with cardiac disease, the best method for determining body fat was circumferences. This technique was accurate, easy to administer, inexpensive, and had a lower error potential than the other techniques. Skinfold measurements were also closely related to hydrostatic weighing, but should be performed only by experienced practitioners because there is a greater potential for tester error in certain patients. In the future, near-infrared interactance measurements may be a viable technique for body composition assessment in patients with cardiac disease. However, algorithms specific to the population of patients with cardiac disease being tested must be developed before this technique can be routinely recommended for body composition assessment. Bioelectrical impedance assessment by either method is not recommended for patients with cardiac disease, as it consistently underestimated percent body fat when compared to hydrostatic weighing in this population.
DNorm: disease name normalization with pairwise learning to rank

PubMed Central

Leaman, Robert; Islamaj Doğan, Rezarta; Lu, Zhiyong

2013-01-01

Motivation: Despite the central role of diseases in biomedical research, there have been much fewer attempts to automatically determine which diseases are mentioned in a text—the task of disease name normalization (DNorm)—compared with other normalization tasks in biomedical text mining research. Methods: In this article we introduce the first machine learning approach for DNorm, using the NCBI disease corpus and the MEDIC vocabulary, which combines MeSH® and OMIM. Our method is a high-performing and mathematically principled framework for learning similarities between mentions and concept names directly from training data. The technique is based on pairwise learning to rank, which has not previously been applied to the normalization task but has proven successful in large optimization problems for information retrieval. Results: We compare our method with several techniques based on lexical normalization and matching, MetaMap and Lucene. Our algorithm achieves 0.782 micro-averaged F-measure and 0.809 macro-averaged F-measure, an increase over the highest performing baseline method of 0.121 and 0.098, respectively. Availability: The source code for DNorm is available at http://www.ncbi.nlm.nih.gov/CBBresearch/Lu/Demo/DNorm, along with a web-based demonstration and links to the NCBI disease corpus. Results on PubMed abstracts are available in PubTator: http://www.ncbi.nlm.nih.gov/CBBresearch/Lu/Demo/PubTator Contact: zhiyong.lu@nih.gov PMID:23969135
Epistaxis in end stage liver disease masquerading as severe upper gastrointestinal hemorrhage

PubMed Central

Camus, Marine; Jensen, Dennis M; Matthews, Jason D; Ohning, Gordon V; Kovacs, Thomas O; Jutabha, Rome; Ghassemi, Kevin A; Machicado, Gustavo A; Dulai, Gareth S

2014-01-01

AIM: To describe the prevalence, diagnosis, treatment, and outcomes of end stage liver disease (ESLD) patients with severe epistaxis thought to be severe upper gastrointestinal hemorrhage (UGIH). METHODS: This observational single center study included all consecutive patients with ESLD and epistaxis identified from consecutive subjects hospitalized with suspected UGIH and prospectively enrolled in our databases of severe UGIH between 1998 and 2011. RESULTS: A total of 1249 patients were registered for severe UGIH in the data basis, 461 (36.9%) were cirrhotics. Epistaxis rather than UGIH was the bleeding source in 20 patients. All patients had severe coagulopathy. Epistaxis was initially controlled in all cases. Fifteen (75%) subjects required posterior nasal packing and 2 (10%) embolization in addition to correction of coagulopathy. Five (25%) patients died in the hospital, 12 (60%) received orthotopic liver transplantation (OLT), and 3 (15%) were discharged without OLT. The mortality rate was 63% in patients without OLT. CONCLUSION: Severe epistaxis in patients with ESLD is (1) a diagnosis of exclusion that requires upper endoscopy to exclude severe UGIH; and (2) associated with a high mortality rate in patients not receiving OLT. PMID:25320538
Statistical Analysis of Big Data on Pharmacogenomics

PubMed Central

Fan, Jianqing; Liu, Han

2013-01-01

This paper discusses statistical methods for estimating complex correlation structure from large pharmacogenomic datasets. We selectively review several prominent statistical methods for estimating large covariance matrix for understanding correlation structure, inverse covariance matrix for network modeling, large-scale simultaneous tests for selecting significantly differently expressed genes and proteins and genetic markers for complex diseases, and high dimensional variable selection for identifying important molecules for understanding molecule mechanisms in pharmacogenomics. Their applications to gene network estimation and biomarker selection are used to illustrate the methodological power. Several new challenges of Big data analysis, including complex data distribution, missing data, measurement error, spurious correlation, endogeneity, and the need for robust statistical methods, are also discussed. PMID:23602905
Effects of disease severity distribution on the performance of quantitative diagnostic methods and proposal of a novel ‘V-plot’ methodology to display accuracy values

PubMed Central

Dehbi, Hakim-Moulay; Howard, James P; Shun-Shin, Matthew J; Sen, Sayan; Nijjer, Sukhjinder S; Mayet, Jamil; Davies, Justin E; Francis, Darrel P

2018-01-01

Background Diagnostic accuracy is widely accepted by researchers and clinicians as an optimal expression of a test’s performance. The aim of this study was to evaluate the effects of disease severity distribution on values of diagnostic accuracy as well as propose a sample-independent methodology to calculate and display accuracy of diagnostic tests. Methods and findings We evaluated the diagnostic relationship between two hypothetical methods to measure serum cholesterol (Cholrapid and Cholgold) by generating samples with statistical software and (1) keeping the numerical relationship between methods unchanged and (2) changing the distribution of cholesterol values. Metrics of categorical agreement were calculated (accuracy, sensitivity and specificity). Finally, a novel methodology to display and calculate accuracy values was presented (the V-plot of accuracies). Conclusion No single value of diagnostic accuracy can be used to describe the relationship between tests, as accuracy is a metric heavily affected by the underlying sample distribution. Our novel proposed methodology, the V-plot of accuracies, can be used as a sample-independent measure of a test performance against a reference gold standard. PMID:29387424
[Prevalence of severe periodontal disease and its association with respiratory disease in hospitalized adult patients in a tertiary care center].

PubMed

Fernández-Plata, Rosario; Olmedo-Torres, Daniel; Martínez-Briseño, David; García-Sancho, Cecilia; Franco-Marina, Francisco; González-Cruz, Herminia

2015-01-01

Severe periodontal disease is a chronic inflammatory gingival process associated with systemic diseases. To determine the prevalence of severe periodontal disease and its association with respiratory diseases among hospitalized patients at the Institute of Respiratory Diseases "Ismael Cosio Villegas" (INER) in 2011. A cross-sectional study was developed. The severe periodontal disease was diagnosed by the Department of Stomatology. The International Classification of Diseases 10th revision was used. A multinomial logistic was fit to estimate relative-risk. Three thousand and fifty-nine patients were included; 772/3,059 (25.2%) had severe periodontal disease. After controlling for age, sex, inpatient days, death, and socioeconomic status, the infectious respiratory diseases that were significantly associated with severe periodontal disease were: HIV/AIDS (RR: 10.6; 95% CI: 9.1-23.3; p < 0.0001); pneumonia (RR: 2.6; 95% CI: 2.2-5.7; p < 0.0001); pulmonary tuberculosis and its sequels (RR: 2.1; 95% CI: 1.6-4.9; p < 0.0001); and lung abscess (RR: 2.6; 95% CI: 1.6-7.8; p = 0.002). Lung cancer and pleural diseases were also significantly associated with severe periodontal disease. High prevalence of severe periodontal disease was observed in the different respiratory diseases. Severe periodontal disease was associated with both infectious and non-infectious respiratory diseases. It is important to study an oral health intervention.
Serum Squamous Cell Carcinoma Antigen in Psoriasis: A Potential Quantitative Biomarker for Disease Severity.

PubMed

Sun, Ziwen; Shi, Xiaomin; Wang, Yun; Zhao, Yi

2018-06-05

An objective and quantitative method to evaluate psoriasis severity is important for practice and research in the precision care of psoriasis. We aimed to explore serum biomarkers quantitatively in association with disease severity and treatment response in psoriasis patients, with serum squamous cell carcinoma antigen (SCCA) evaluated in this pilot study. 15 psoriasis patients were treated with adalimumab. At different visits before and after treatment, quantitative body surface area (qBSA) was obtained from standardized digital body images of the patients, and the psoriasis area severity index (PASI) was also monitored. SCCA were detected by using microparticle enzyme immunoassay. The serum biomarkers were also tested in healthy volunteers as normal controls. Receiver-operating characteristic (ROC) curve analysis was used to explore the optimal cutoff point of SCCA to differentiate mild and moderate-to-severe psoriasis. The serum SCCA level in the psoriasis group was significantly higher (p < 0.05) than in the normal control group. After treatment, the serum SCCA levels were significantly decreased (p < 0.05). The SCCA level was well correlated with PASI and qBSA. In ROC analysis, when taking PASI = 10 or qBSA = 10% as the threshold, an optimal cutoff point of SCCA was found at 2.0 ng/mL with the highest Youden index. Serum SCCA might be a useful quantitative biomarker for psoriasis disease severity. © 2018 S. Karger AG, Basel.
SpatialEpiApp: A Shiny web application for the analysis of spatial and spatio-temporal disease data.

PubMed

Moraga, Paula

2017-11-01

During last years, public health surveillance has been facilitated by the existence of several packages implementing statistical methods for the analysis of spatial and spatio-temporal disease data. However, these methods are still inaccesible for many researchers lacking the adequate programming skills to effectively use the required software. In this paper we present SpatialEpiApp, a Shiny web application that integrate two of the most common approaches in health surveillance: disease mapping and detection of clusters. SpatialEpiApp is easy to use and does not require any programming knowledge. Given information about the cases, population and optionally covariates for each of the areas and dates of study, the application allows to fit Bayesian models to obtain disease risk estimates and their uncertainty by using R-INLA, and to detect disease clusters by using SaTScan. The application allows user interaction and the creation of interactive data visualizations and reports showing the analyses performed. Copyright © 2017 Elsevier Ltd. All rights reserved.
Ultrasound sonoelastography in the evaluation of thyroiditis and autoimmune thyroid disease.

PubMed

Ruchała, Marek; Szmyt, Krzysztof; Sławek, Sylwia; Zybek, Ariadna; Szczepanek-Parulska, Ewelina

2014-01-01

Sonoelastography (USE) is a constantly evolving imaging technique used for the noninvasive and objective estimation of tissue stiffness. Several USE methods have been developed, including Quasi-Static or Strain Elastography and Shear Wave Elastography. The utility of USE has been demonstrated in differentiating between malignant and benign thyroid lesions. Recently, USE has been applied in the evaluation of thyroiditis and autoimmune thyroid disease (AITD).Thyroid inflammatory illnesses constitute a diverse group of diseases and may manifest various symptoms. These conditions may share some parallel clinical, biochemical, and ultrasonographic features, which can lead to diagnostic difficulties. USE may be an additional tool, supporting other methods in the diagnosis and treatment monitoring of thyroid diseases, other than thyroid nodular disease.The aim of this article was to analyse and summarise the available literature on the applicability of different elastographic techniques in the diagnosis, differentiation and monitoring of various types of thyroiditis and AITD. Advantages and limitations of this technique are also discussed.
In vivo and in vitro disease modeling with CRISPR/Cas9.

PubMed

Kato, Tomoko; Takada, Shuji

2017-01-01

In the past few years, extensive progress has been made in the development of genome-editing technology. Among several genome-editing tools, the clustered regularly interspaced short palindrome repeat-associated Cas9 nuclease (CRISPR/Cas9) system is particularly widely used owing to the ease of sequence-specific nuclease construction and the highly efficient introduction of mutations. The CRISPR/Cas9 system was originally constructed to induce small insertion and deletion mutations, but various methods have been developed to introduce point mutations, deletions, insertions, chromosomal translocations and so on. These methods should be useful for the reconstruction of disease-causing mutations in cultured cell lines and living organisms to elucidate disease pathogenesis and for disease prevention, treatment and drug discovery. This review summarizes the current technical aspects of the CRISPR/Cas9 system for disease modeling in cultured cells and living organisms, mainly mice. © The Author 2016. Published by Oxford University Press. All rights reserved. For permissions, please email: journals.permissions@oup.com.
Clinical and laboratory aspects of Legionnaire's disease.

PubMed

Strampfer, M J; Cunha, B A

1987-12-01

Legionnaires' disease is an illness with protean manifestations that are due to infection with Legionella pneumophila. It occurs both in epidemic and sporadic form and usually presents as an atypical pneumonia. Relative bradycardia, abnormal liver function test results, and a patient presenting with an atypical pneumonia should alert the clinician to the possibility of Legionella. The presence of systemic involvement, specifically neurological, gastrointestinal, and renal abnormalities, should further suggest the diagnosis. Patients may demonstrate multiple extrapulmonary manifestations of legionnaires' disease, sometimes without pneumonia. Several methods are available to aid the clinician in making the diagnosis of legionnaires' disease, and the use of all tests will increase the overall sensitivity.
A system for rapid analysis of the femoral blood velocity waveform at the bedside.

PubMed

Capper, W L; Amoore, J N; Clifford, P C; Immelman, E J; Harries-Jones, E P

1986-01-01

The shape of the arterial blood velocity waveform varies with atherosclerotic disease and several methods of quantifying the shape in order to predict the severity of the disease have been described. These methods include pulsatility index, the Laplace transform method, and principal component analysis. This paper describes the development of a system which allows the operator to acquire, display, and store waveforms from each limb and then to quantify the waveforms at the bedside within a few minutes. The system includes a 10 MHz bi-directional Doppler unit, an instantaneous mean frequency processor, and an Apple II microcomputer fitted with an accelerator card. Both the Laplace transform parameters and the pulsatility index are computed and each result is printed in tabular form together with the averaged results of five waveforms from each limb. The printout is suitable for inclusion in the patient's folder. In initial clinical studies Laplace transform analysis exhibited a good correlation with aorto-iliac stenosis as assessed angiographically (R = 0.73 P less than 0.001 t test).
Effects of disease severity distribution on the performance of quantitative diagnostic methods and proposal of a novel 'V-plot' methodology to display accuracy values.

PubMed

Petraco, Ricardo; Dehbi, Hakim-Moulay; Howard, James P; Shun-Shin, Matthew J; Sen, Sayan; Nijjer, Sukhjinder S; Mayet, Jamil; Davies, Justin E; Francis, Darrel P

2018-01-01

Diagnostic accuracy is widely accepted by researchers and clinicians as an optimal expression of a test's performance. The aim of this study was to evaluate the effects of disease severity distribution on values of diagnostic accuracy as well as propose a sample-independent methodology to calculate and display accuracy of diagnostic tests. We evaluated the diagnostic relationship between two hypothetical methods to measure serum cholesterol (Chol rapid and Chol gold ) by generating samples with statistical software and (1) keeping the numerical relationship between methods unchanged and (2) changing the distribution of cholesterol values. Metrics of categorical agreement were calculated (accuracy, sensitivity and specificity). Finally, a novel methodology to display and calculate accuracy values was presented (the V-plot of accuracies). No single value of diagnostic accuracy can be used to describe the relationship between tests, as accuracy is a metric heavily affected by the underlying sample distribution. Our novel proposed methodology, the V-plot of accuracies, can be used as a sample-independent measure of a test performance against a reference gold standard.
Treatment inferred disease severity in Crohn's disease: evidence for a European gradient of disease course.

PubMed

Wolters, Frank L; Joling, Catelijne; Russel, Maurice G; Sijbrandij, Jildou; De Bruin, Marion; Odes, Selwyn; Riis, Lene; Munkholm, Pia; Bodini, Paolo; Ryan, Barbara; O'Morain, Colm; Mouzas, Ioannis A; Tsianos, Epameinondas; Vermeire, Severine; Monteiro, Estela; Limonard, Charles; Vatn, Morten; Fornaciari, Giovanni; Rodriguez, Dolores; Groot, Wim; Moum, Bjørn; Stockbrügger, Reinhold W

2007-03-01

Geographic differences in disease course of Crohn's disease (CD) might possibly be related to differences in genetic and environmental factors encountered in different parts of the world. The aim of this study was to assess differences in treatment regimens within a European cohort of CD patients as a reflection of disease course, and to identify associated phenotypic risk factors at diagnosis. A prospective European population-based inception cohort of 380 CD patients was studied. The patients were classified for phenotype according to the Vienna classification. Differences between Northern and Southern European centres in treatment over the first 10 years of disease were analysed using a competing risks survival analysis method. Patients in the North were more likely to have had surgery (p<0.01), whereas patients in the South were more likely to have been treated medically (p<0.01). Phenotype at diagnosis was not predictive of differences in treatment regimens between North and South. In this study, a difference in management of CD was observed between Northern and Southern European centres. This suggests that there may be a North-South disease severity gradient across Europe. Phenotypic differences between patients in the North and South did not explain this observed difference.
Prevalence and predictors for periodontitis among adults in China, 2010

PubMed Central

Zhang, Qi; Li, Zhixin; Wang, Chunxiao; Shen, Tao; Yang, Yang; Chotivichien, Saipin; Wang, Linhong

2014-01-01

Background Although the interrelationship between poor oral health and chronic diseases is well established, few related studies are available in China. In this study, the prevalence of severe periodontitis and its association with chronic diseases among adults in China have been explored. Design During China's 2010 Chronic Disease and Risk Factor Surveillance (CCDRFS) survey among adults aged 18 and older, 3 out of 162 surveillance points and the entire sample from each point (600×3=1,800 subjects) were selected as pilot study sites in which oral examination was performed. Basic demographic information, chronic diseases status, and results of oral examination were collected from 2010 CCDRFS data. A standard oral examination was conducted by trained staff. Periodontitis was defined as moderate (4–5 mm pockets) or severe (≥6 mm pockets). Chronic disease status was determined by using standard methods and criteria. Multivariate logistic analysis was used to identify the independent association of various factors with severe periodontitis. Results Of 1,800 subjects, 1,728 subjects (96%) provided complete information. The prevalence of severe periodontitis was 1.9% (32/1,728) (95% CI=1.2–2.5). In multivariate model, participants with diabetes were 2.4 times (OR=2.4, 95% CI=1.1–5.6) more likely to have severe periodontitis. Being male was significantly associated with severe periodontitis (OR=3.5, 95% CI=1.6–7.7). Living in a rural area was related to an increased chance of having severe periodontitis (OR=2.1, 95% CI=1.0– 4.9). Attainment of at least 6 years of education was inversely associated with severe periodontitis (OR=0.3, 95% CI=0.1–0.8). Conclusions According to this pilot project, prevalence of severe periodontitis was low. Control measures should be particularly emphasized for high-risk groups such as less educated people (<6 years of education), people living in rural areas, men, and diabetes patients. Population-based studies, including oral examination by trained staff, are feasible and should be done in order to understand the burden of periodontitis and to provide an effective response to this key oral health issue. PMID:25008055
Disrupting mating behavior of Diaphorina citri (Liviidae)

USDA-ARS?s Scientific Manuscript database

Severe economic damage from citrus greening disease, caused by ‘Candidatus Liberibacter asiaticus’ bacteria, has stimulated development of methods to reduce mating and reproduction in populations of its insect vector, Diaphorina citri (Hemiptera: Liviidae). Male D. citri find mating partners by walk...
Correlation between clinical severity of central nervous system (CNS) lupus and findings on single photon emission computed tomographic (SPECT) images of the brain; preliminary results

DOE Office of Scientific and Technical Information (OSTI.GOV)

Silverman, I.E.; Zeit, R.M.; Von Feldt, J.M.

1994-05-01

Systemic Lupus Erythematosis (SLE) commonly causes significant neuropsychiatric disorders. The purpose of this study was to review the brain SPECT studies of SLE patients with clinical evidence of CNS involvement and determine whether there is a correlation between the findings on SPECT images and the clinical manifestations of this serious phase of the disease. We enrolled 19 SLE patients and 12 normal controls in this study. The level of each patient`s disease activity was determined by the SLE Disease Activity Index (SLEDAI), an established method of scoring disease severity which is heavily weighted toward neuropsychiatric symptomatology, for 15 of themore » 19 SLE patients. The SLEDAI was calculated within a 10 day window of the date when the SPECT scan was obtained. SPECT scans were performed 30 minutes following the intravenous administration of 99mTc-HMPAO. Results are discussed.« less
Genetic architecture of retinal and macular degenerative diseases: the promise and challenges of next-generation sequencing

PubMed Central

2013-01-01

Inherited retinal degenerative diseases (RDDs) display wide variation in their mode of inheritance, underlying genetic defects, age of onset, and phenotypic severity. Molecular mechanisms have not been delineated for many retinal diseases, and treatment options are limited. In most instances, genotype-phenotype correlations have not been elucidated because of extensive clinical and genetic heterogeneity. Next-generation sequencing (NGS) methods, including exome, genome, transcriptome and epigenome sequencing, provide novel avenues towards achieving comprehensive understanding of the genetic architecture of RDDs. Whole-exome sequencing (WES) has already revealed several new RDD genes, whereas RNA-Seq and ChIP-Seq analyses are expected to uncover novel aspects of gene regulation and biological networks that are involved in retinal development, aging and disease. In this review, we focus on the genetic characterization of retinal and macular degeneration using NGS technology and discuss the basic framework for further investigations. We also examine the challenges of NGS application in clinical diagnosis and management. PMID:24112618
Endothelial and circulating progenitor cells in hematological diseases and allogeneic hematopoietic stem cell transplantation.

PubMed

Ruggeri, Annalisa; Paviglianiti, Annalisa; Volt, Fernanda; Kenzey, Chantal; Rafii, Hanadi; Rocha, Vanderson; Gluckman, Eliane

2017-10-12

Circulating endothelial cells (CECs), originated form endothelial progenitors (EPCs) are mature cells which are not associated with vessel walls, and that are detached from the endothelium. Normally, they are present in insignificant amounts in the peripheral blood of healthy individuals. On the other hand, elevated CECs and EPCs levels have been reported in the peripheral blood of patients with different types of cancers and some other diseases. Consequently, CECs and EPCs represent a potential biomarker in several clinical conditions involving endothelial turnover and remodeling, such as hematological diseases. These cells may be involved in disease progression and the neoplastic angiogenesis process. Moreover, CESs and EPCs are probably involved in endothelial damage that is a marker of several complications following allogeneic hematopoietic stem cell transplantation. This review aims to provide an overview on the characterization of CECs and EPCs, describe isolation methods and to identify the potential role of these cells in hematological diseases and hematopoietic stem cell transplantation. Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.org.

Prevalence and predictors of dysphagia in Iranian patients with multiple sclerosis

PubMed Central

Tarameshlu, Maryam; Azimi, Amir Reza; Ghelichi, Leila; Ansari, Noureddin Nakhostin

2017-01-01

Background: Dysphagia is frequently observed in patients with multiple sclerosis (MS). Dysphagia and its complications are common causes of morbidity and mortality in final stages of MS disease. This study aimed at determining the prevalence of dysphagia in Iranian patients with MS and identifying predictors associated with dysphagia. Methods: A total of 230 MS patients were enrolled in this cross-sectional study. Dysphagia was evaluated using Mann Assessment of Swallowing Ability (MASA). Demographic characteristics (age and gender), duration of the disease, disease course, and Expanded Disability Status Scale (EDSS) were recorded for all participants. Results: In total, dysphagia was found in 85 participants (37%) with mild to severe dysphagia (mild 50.6%; moderate 29.4%; and severe 20%). The logistic regression model demonstrated that disability status in EDSS (OR= 2.1; 95% CI 0.5-1.2) and disease duration (OR= 2.3; 95% CI 0.4-1.1) predicts a high risk for dysphagia in MS patients. Conclusion: Dysphagia is prevalent in Iranian patients with MS. Disability level and disease duration are significant predictors of dysphagia after MS.
CT Metrics of Airway Disease and Emphysema in Severe COPD

PubMed Central

Kim, Woo Jin; Silverman, Edwin K.; Hoffman, Eric; Criner, Gerard J.; Mosenifar, Zab; Sciurba, Frank C.; Make, Barry J.; Carey, Vincent; Estépar, Raúl San José; Diaz, Alejandro; Reilly, John J.; Martinez, Fernando J.; Washko, George R.

2009-01-01

Background: CT scan measures of emphysema and airway disease have been correlated with lung function in cohorts of subjects with a range of COPD severity. The contribution of CT scan-assessed airway disease to objective measures of lung function and respiratory symptoms such as dyspnea in severe emphysema is less clear. Methods: Using data from 338 subjects in the National Emphysema Treatment Trial (NETT) Genetics Ancillary Study, densitometric measures of emphysema using a threshold of −950 Hounsfield units (%LAA-950) and airway wall phenotypes of the wall thickness (WT) and the square root of wall area (SRWA) of a 10-mm luminal perimeter airway were calculated for each subject. Linear regression analysis was performed for outcome variables FEV1 and percent predicted value of FEV1 with CT scan measures of emphysema and airway disease. Results: In univariate analysis, there were significant negative correlations between %LAA-950 and both the WT (r = −0.28, p = 0.0001) and SRWA (r = −0.19, p = 0.0008). Airway wall thickness was weakly but significantly correlated with postbronchodilator FEV1% predicted (R = −0.12, p = 0.02). Multivariate analysis showed significant associations between either WT or SRWA (β = −5.2, p = 0.009; β = −2.6, p = 0.008, respectively) and %LAA-950 (β = −10.6, p = 0.03) with the postbronchodilator FEV1% predicted. Male subjects exhibited significantly thicker airway wall phenotypes (p = 0.007 for WT and p = 0.0006 for SRWA). Conclusions: Airway disease and emphysema detected by CT scanning are inversely related in patients with severe COPD. Airway wall phenotypes were influenced by gender and associated with lung function in subjects with severe emphysema. PMID:19411295
Elevated serum concentrations of HE4 as a novel biomarker of disease severity and renal fibrosis in kidney disease

PubMed Central

Liang, Jianbo; Yue, Caifeng; Wang, Fen; Song, Junli; Wang, Jianfeng; Liu, Min; Luo, Jinmei; Li, Laisheng

2016-01-01

Background Human epididymis protein 4 (HE4), has recently been reported as a mediator of renal fibrosis. However, serum HE4 levels appear in a large number of patient samples with chronic kidney disease (CKD), and the relationship of these levels to disease severity and renal fibrosis is unknown. Methods In 427 patients at different stages of CKD excluding gynecologic cancer and 173 healthy subjects, serum HE4 concentrations were tested by chemiluminescent microparticle immunoassay. Renal biopsy was performed on 259 of 427 subjects. Histological findings were evaluated using standard immunohistochemistry. Results The levels of serum HE4 were higher in CKD patients than in healthy subjects, and higher levels were associated with more severe CKD stages. Patients with more severe renal fibrosis tended to have higher HE4 levels, and correlation analysis showed a significant correlation between HE4 and degree of renal fibrosis (r = 0.938, P < 0.0001). HE4 can be a predictor of renal fibrosis in CKD patients; the area under the receiver-operating characteristic curve (AUC-ROC) was 0.99, higher than the AUC-ROC of serum creatinine (0.89). Conclusion Elevated levels of serum HE4 are associated with decreased kidney function, and also with an advanced stage of renal fibrosis, suggesting that HE4 may serve as a valuable clinical biomarker for renal fibrosis of CKD. PMID:27589683
Review of major sweetpotato pests in Japan, with information on resistance breeding programs.

PubMed

Okada, Yoshihiro; Kobayashi, Akira; Tabuchi, Hiroaki; Kuranouchi, Toshikazu

2017-01-01

Sweetpotato ( Ipomoeae batatas (L.) Lam.) is an important food crop affected by several pests throughout the world, especially in tropical, subtropical, and temperate regions. Although Japan is relatively free from many serious sweetpotato pests, some pests, especially soil-borne pathogens, viruses, and insects such as plant-parasitic nematodes and weevils, cause severe damage in Japan. In this review, we describe the current status and management options for sweetpotato pests and diseases in Japan and review research related to sweetpotato breeding that can promote resistance to these problems. Furthermore, we describe methods to evaluate resistance to pests and disease used in sweetpotato breeding at the National Agriculture and Food Research Organization (NARO).
Rare lung disease research: strategies for improving identification and recruitment of research participants.

PubMed

Gupta, Samir; Bayoumi, Ahmed M; Faughnan, Marie E

2011-11-01

Research in rare lung diseases faces methodologic limitations by virtue of the small number of participants available to be studied. We explored several strategies that may improve researchers' ability to identify and recruit research participants with rare lung diseases. We provide an overview of strategies based on available evidence, previously used approaches, and reasoning. First, disease detection is generally poor and may be improved through strategies targeted at primary care practitioners or directly at patients, thus increasing the pool of patients available for research studies. Next, standardization of case definitions in rare lung diseases is often lacking, hindering research recruitment efforts because of confusion over appropriate recruitment criteria. Expert consensus statements can enhance both clinical care and research recruitment by standardizing definitions. Finally, recruitment strategies using rare lung disease registries, clinical research networks, novel Internet-based direct patient recruitment approaches, and patient organizations may facilitate recruitment of patients with rare lung diseases. In summary, although several strategies for improving the identification and recruitment of research participants with rare lung diseases have been proposed, published examples are few. Objective measurement and reporting of novel recruitment methods and collaboration among researchers facing the same limitations across various rare lung diseases are required. Advancements in this area are vital to the design and performance of much-needed robust clinical studies across the spectrum of rare lung diseases.
Pulmonary Angiography and Embolization for Severe Hemoptysis Due to Cavitary Pulmonary Tuberculosis

DOE Office of Scientific and Technical Information (OSTI.GOV)

Sanyika, Charles; Corr, Peter; Royston, Duncan

1999-11-15

Purpose: To identify the role of pulmonary angiography in the diagnosis and treatment of severe hemoptysis due to cavitary pulmonary tuberculosis. Methods: Selective pulmonary angiography was performed on eight patients with severe hemoptysis uncontrolled by previous bronchial and systemic arterial embolization. Results: Three (38%) patients had Rasmussen aneurysms, which were successfully embolized with steel coils. Five patients demonstrated pulmonary arterial hypoperfusion in the diseased lung. Conclusions: We recommend pulmonary angiography in cavitary tuberculous patients with severe hemoptysis who do not respond to systemic arterial embolization. Rasmussen aneurysms are effectively treated by steel coil occlusion.
Correlation between Epstein-Barr Virus Infection and Disease Activity of Systemic Lupus Erythematosus: a Cross-Sectional Study

PubMed

Piroozmand, Ahmad; Haddad Kashani, Hamed; Zamani, Batool

2017-02-01

Background: Systemic lupus erythematosus (SLE) is an autoimmune disease for whose pathogenesis viral infections are important. The Epstein-Barr virus (EBV) is the main infectious etiological agent. This study aimed to quantitative evaluation of EBV in SLE patients. Materials and Methods: In this cross-sectional study, 40 patients with SLE diagnosed based on American College of Rheumatology criteria were selected using purposive sampling. All were included in the study after obtaining informed consent for participation. Whole blood samples were taken and buffy coat preparations were isolated to determine viral load using the real-time polymerase chain reaction method and assessment with the SLE disease activity index (SLE-DAI). Results: From a total of 40 patients, 37 cases (92.5%) were women. The EBV test was positive in 67.5% and mean viral load was 5396 ± 1891.9 copy/ml. Twenty of forty patients had active and 50% inactive disease, mean EBV viral loads being 6798 and 28.25 copy/ml, respectively (P-value = 0.003). In terms of the severity of disease activity, 17.5 % of female patients had mild to moderate activity, whilst 32.5% of them had severe activity, with respective viral loads of 5,803.3 and 29.73 copy/ml (P-value = 0.003). Conclusion: The Epstein-Barr viral load in SLE patients with active disease was found to be markedly higher than in inactive cases. Thus, EBV may have an important role in the pathogenesis and activity of SLE. Creative Commons Attribution License
New Spectral Index for Detecting Wheat Yellow Rust Using Sentinel-2 Multispectral Imagery

PubMed Central

Zheng, Qiong; Huang, Wenjiang; Cui, Ximin; Liu, Linyi

2018-01-01

Yellow rust is one of the most destructive diseases for winter wheat and has led to a significant decrease in winter wheat quality and yield. Identifying and monitoring yellow rust is of great importance for guiding agricultural production over large areas. Compared with traditional crop disease discrimination methods, remote sensing technology has proven to be a useful tool for accomplishing such a task at large scale. This study explores the potential of the Sentinel-2 Multispectral Instrument (MSI), a newly launched satellite with refined spatial resolution and three red-edge bands, for discriminating between yellow rust infection severities (i.e., healthy, slight, and severe) in winter wheat. The corresponding simulative multispectral bands for the Sentinel-2 sensor were calculated by the sensor’s relative spectral response (RSR) function based on the in situ hyperspectral data acquired at the canopy level. Three Sentinel-2 spectral bands, including B4 (Red), B5 (Re1), and B7 (Re3), were found to be sensitive bands using the random forest (RF) method. A new multispectral index, the Red Edge Disease Stress Index (REDSI), which consists of these sensitive bands, was proposed to detect yellow rust infection at different severity levels. The overall identification accuracy for REDSI was 84.1% and the kappa coefficient was 0.76. Moreover, REDSI performed better than other commonly used disease spectral indexes for yellow rust discrimination at the canopy scale. The optimal threshold method was adopted for mapping yellow rust infection at regional scales based on realistic Sentinel-2 multispectral image data to further assess REDSI’s ability for yellow rust detection. The overall accuracy was 85.2% and kappa coefficient was 0.67, which was found through validation against a set of field survey data. This study suggests that the Sentinel-2 MSI has the potential for yellow rust discrimination, and the newly proposed REDSI has great robustness and generalized ability for yellow rust detection at canopy and regional scales. Furthermore, our results suggest that the above remote sensing technology can be used to provide scientific guidance for monitoring and precise management of crop diseases and pests. PMID:29543736
New Spectral Index for Detecting Wheat Yellow Rust Using Sentinel-2 Multispectral Imagery.

PubMed

Zheng, Qiong; Huang, Wenjiang; Cui, Ximin; Shi, Yue; Liu, Linyi

2018-03-15

Yellow rust is one of the most destructive diseases for winter wheat and has led to a significant decrease in winter wheat quality and yield. Identifying and monitoring yellow rust is of great importance for guiding agricultural production over large areas. Compared with traditional crop disease discrimination methods, remote sensing technology has proven to be a useful tool for accomplishing such a task at large scale. This study explores the potential of the Sentinel-2 Multispectral Instrument (MSI), a newly launched satellite with refined spatial resolution and three red-edge bands, for discriminating between yellow rust infection severities (i.e., healthy, slight, and severe) in winter wheat. The corresponding simulative multispectral bands for the Sentinel-2 sensor were calculated by the sensor's relative spectral response (RSR) function based on the in situ hyperspectral data acquired at the canopy level. Three Sentinel-2 spectral bands, including B4 (Red), B5 (Re1), and B7 (Re3), were found to be sensitive bands using the random forest (RF) method. A new multispectral index, the Red Edge Disease Stress Index (REDSI), which consists of these sensitive bands, was proposed to detect yellow rust infection at different severity levels. The overall identification accuracy for REDSI was 84.1% and the kappa coefficient was 0.76. Moreover, REDSI performed better than other commonly used disease spectral indexes for yellow rust discrimination at the canopy scale. The optimal threshold method was adopted for mapping yellow rust infection at regional scales based on realistic Sentinel-2 multispectral image data to further assess REDSI's ability for yellow rust detection. The overall accuracy was 85.2% and kappa coefficient was 0.67, which was found through validation against a set of field survey data. This study suggests that the Sentinel-2 MSI has the potential for yellow rust discrimination, and the newly proposed REDSI has great robustness and generalized ability for yellow rust detection at canopy and regional scales. Furthermore, our results suggest that the above remote sensing technology can be used to provide scientific guidance for monitoring and precise management of crop diseases and pests.
[Role of noninvasive mechanical ventilation in patients with severe avian influenza A (H7N9) complicated with acute respiratory distress syndrome].

PubMed

Luo, Haili; Wang, Shaohong; Shen, Feng; Yuan, Tongmei; Pan, Xianguo; Liu, Jingtao; Yao, Ling; Wu, Juncheng; Long, Xuemei

2018-05-01

Human infection with avian influenza A (H7N9) is an acute contagious respiratory disease. Acute respiratory distress syndrome (ARDS) is a common complication in patients with severe avian influenza A (H7N9), for whom mechanical ventilation (MV) is an important supportive method. A patient, suffered from severe avian influenza A (H7N9) and complicated with ARDS, was admitted to the Second Affiliated Hospital of Guizhou Medical University in January 2017. With very intensive care for oxygenation, respiration and consciousness, and monitoring, she was successfully cured by comprehensive managements, among which noninvasive mechanical ventilation (NIV) was the major respiratory support method. The result demonstrate that, in patients with conscious state, satisfied expectoration ability and relatively good cooperation, and with close observation of oxygenation and respiratory rate, NIV may be accepted as an effective method for patient with ARDS caused by severe avian influenza A (H7N9).
Prediction of potential disease-associated microRNAs based on random walk.

PubMed

Xuan, Ping; Han, Ke; Guo, Yahong; Li, Jin; Li, Xia; Zhong, Yingli; Zhang, Zhaogong; Ding, Jian

2015-06-01

Identifying microRNAs associated with diseases (disease miRNAs) is helpful for exploring the pathogenesis of diseases. Because miRNAs fulfill function via the regulation of their target genes and because the current number of experimentally validated targets is insufficient, some existing methods have inferred potential disease miRNAs based on the predicted targets. It is difficult for these methods to achieve excellent performance due to the high false-positive and false-negative rates for the target prediction results. Alternatively, several methods have constructed a network composed of miRNAs based on their associated diseases and have exploited the information within the network to predict the disease miRNAs. However, these methods have failed to take into account the prior information regarding the network nodes and the respective local topological structures of the different categories of nodes. Therefore, it is essential to develop a method that exploits the more useful information to predict reliable disease miRNA candidates. miRNAs with similar functions are normally associated with similar diseases and vice versa. Therefore, the functional similarity between a pair of miRNAs is calculated based on their associated diseases to construct a miRNA network. We present a new prediction method based on random walk on the network. For the diseases with some known related miRNAs, the network nodes are divided into labeled nodes and unlabeled nodes, and the transition matrices are established for the two categories of nodes. Furthermore, different categories of nodes have different transition weights. In this way, the prior information of nodes can be completely exploited. Simultaneously, the various ranges of topologies around the different categories of nodes are integrated. In addition, how far the walker can go away from the labeled nodes is controlled by restarting the walking. This is helpful for relieving the negative effect of noisy data. For the diseases without any known related miRNAs, we extend the walking on a miRNA-disease bilayer network. During the prediction process, the similarity between diseases, the similarity between miRNAs, the known miRNA-disease associations and the topology information of the bilayer network are exploited. Moreover, the importance of information from different layers of network is considered. Our method achieves superior performance for 18 human diseases with AUC values ranging from 0.786 to 0.945. Moreover, case studies on breast neoplasms, lung neoplasms, prostatic neoplasms and 32 diseases further confirm the ability of our method to discover potential disease miRNAs. A web service for the prediction and analysis of disease miRNAs is available at http://bioinfolab.stx.hk/midp/. © The Author 2015. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.
Early efforts in modeling the incubation period of infectious diseases with an acute course of illness.

PubMed

Nishiura, Hiroshi

2007-05-11

The incubation period of infectious diseases, the time from infection with a microorganism to onset of disease, is directly relevant to prevention and control. Since explicit models of the incubation period enhance our understanding of the spread of disease, previous classic studies were revisited, focusing on the modeling methods employed and paying particular attention to relatively unknown historical efforts. The earliest study on the incubation period of pandemic influenza was published in 1919, providing estimates of the incubation period of Spanish flu using the daily incidence on ships departing from several ports in Australia. Although the study explicitly dealt with an unknown time of exposure, the assumed periods of exposure, which had an equal probability of infection, were too long, and thus, likely resulted in slight underestimates of the incubation period. After the suggestion that the incubation period follows lognormal distribution, Japanese epidemiologists extended this assumption to estimates of the time of exposure during a point source outbreak. Although the reason why the incubation period of acute infectious diseases tends to reveal a right-skewed distribution has been explored several times, the validity of the lognormal assumption is yet to be fully clarified. At present, various different distributions are assumed, and the lack of validity in assuming lognormal distribution is particularly apparent in the case of slowly progressing diseases. The present paper indicates that (1) analysis using well-defined short periods of exposure with appropriate statistical methods is critical when the exact time of exposure is unknown, and (2) when assuming a specific distribution for the incubation period, comparisons using different distributions are needed in addition to estimations using different datasets, analyses of the determinants of incubation period, and an understanding of the underlying disease mechanisms.
Severe disease presentation and poor outcomes among pediatric systemic lupus erythematosus patients in South Africa.

PubMed

Lewandowski, L B; Schanberg, L E; Thielman, N; Phuti, A; Kalla, A A; Okpechi, I; Nourse, P; Gajjar, P; Faller, G; Ambaram, P; Reuter, H; Spittal, G; Scott, C

2017-02-01

Background Systemic lupus erythematosus (SLE) is a life-threatening multisystem autoimmune disease that is more severe in patients of African ancestry and children, yet pediatric SLE on the African continent has been understudied. This study describes a cohort of pediatric SLE (PULSE) patients in South Africa. Methods Patients with a diagnosis of SLE (1997 American College of Rheumatology criteria) diagnosed prior to age 19 years in Cape Town, South Africa, were enrolled in this cross-sectional study from September 2013 to December 2014. Information on clinical and serological characteristics was extracted from medical records. Results were compared to a well-described North American pediatric SLE cohort. Results Seventy-two South African patients were enrolled in the study; mean age 11.5 years; 82% were girls. The racial distribution was 68% Coloured, 24% Black, 5% White and 3% Asian/Indian. Most patients presented with severe lupus nephritis documented by renal biopsy (61%). Of patients with lupus nephritis, 63% presented with International Society of Nephrology/Renal Pathology Society class III or IV. Patients in the PULSE cohort were more likely to be treated with cyclophosphamide, methotrexate and azathioprine. The PULSE cohort had high disease activity at diagnosis (mean Systemic Lupus Erythematosus Disease Activity Index-2K (SLEDAI-2K) 20.6). The SLEDAI-2K at enrolment in the PULSE cohort (5.0) did not differ from the North American pediatric SLE cohort (4.8). Sixty-three per cent of the PULSE cohort had end organ damage with Systemic Lupus International Collaborating Clinics Damage Index (SLICC-DI) score >0 (mean SLICC-DI 1.9), compared to 23% in a previously reported US cohort. Within the PULSE cohort, nine (13%) developed end-stage renal disease with six (8%) requiring transplant, strikingly higher than North American peers (transplant rate <1%). Conclusions The PULSE cohort had highly active multiorgan disease at diagnosis and significant disease damage at enrolment in the South African registry. South African patients have severe lupus nephritis and poor renal outcomes compared to North American peers. Our study revealed a severe disease phenotype in the PULSE cohort resulting in poor outcomes in this high-risk population.
Reliability and validity of the Wolfram Unified Rating Scale (WURS)

PubMed Central

2012-01-01

Background Wolfram syndrome (WFS) is a rare, neurodegenerative disease that typically presents with childhood onset insulin dependent diabetes mellitus, followed by optic atrophy, diabetes insipidus, deafness, and neurological and psychiatric dysfunction. There is no cure for the disease, but recent advances in research have improved understanding of the disease course. Measuring disease severity and progression with reliable and validated tools is a prerequisite for clinical trials of any new intervention for neurodegenerative conditions. To this end, we developed the Wolfram Unified Rating Scale (WURS) to measure the severity and individual variability of WFS symptoms. The aim of this study is to develop and test the reliability and validity of the Wolfram Unified Rating Scale (WURS). Methods A rating scale of disease severity in WFS was developed by modifying a standardized assessment for another neurodegenerative condition (Batten disease). WFS experts scored the representativeness of WURS items for the disease. The WURS was administered to 13 individuals with WFS (6-25 years of age). Motor, balance, mood and quality of life were also evaluated with standard instruments. Inter-rater reliability, internal consistency reliability, concurrent, predictive and content validity of the WURS were calculated. Results The WURS had high inter-rater reliability (ICCs>.93), moderate to high internal consistency reliability (Cronbach’s α = 0.78-0.91) and demonstrated good concurrent and predictive validity. There were significant correlations between the WURS Physical Assessment and motor and balance tests (rs>.67, p<.03), between the WURS Behavioral Scale and reports of mood and behavior (rs>.76, p<.04) and between WURS Total scores and quality of life (rs=-.86, p=.001). The WURS demonstrated acceptable content validity (Scale-Content Validity Index=0.83). Conclusions These preliminary findings demonstrate that the WURS has acceptable reliability and validity and captures individual differences in disease severity in children and young adults with WFS. PMID:23148655
DNorm: disease name normalization with pairwise learning to rank.

PubMed

Leaman, Robert; Islamaj Dogan, Rezarta; Lu, Zhiyong

2013-11-15

Despite the central role of diseases in biomedical research, there have been much fewer attempts to automatically determine which diseases are mentioned in a text-the task of disease name normalization (DNorm)-compared with other normalization tasks in biomedical text mining research. In this article we introduce the first machine learning approach for DNorm, using the NCBI disease corpus and the MEDIC vocabulary, which combines MeSH® and OMIM. Our method is a high-performing and mathematically principled framework for learning similarities between mentions and concept names directly from training data. The technique is based on pairwise learning to rank, which has not previously been applied to the normalization task but has proven successful in large optimization problems for information retrieval. We compare our method with several techniques based on lexical normalization and matching, MetaMap and Lucene. Our algorithm achieves 0.782 micro-averaged F-measure and 0.809 macro-averaged F-measure, an increase over the highest performing baseline method of 0.121 and 0.098, respectively. The source code for DNorm is available at http://www.ncbi.nlm.nih.gov/CBBresearch/Lu/Demo/DNorm, along with a web-based demonstration and links to the NCBI disease corpus. Results on PubMed abstracts are available in PubTator: http://www.ncbi.nlm.nih.gov/CBBresearch/Lu/Demo/PubTator .
Phenotypic diversity in autosomal-dominant cone-rod dystrophy elucidated by adaptive optics retinal imaging

PubMed Central

Song, Hongxin; Rossi, Ethan A; Stone, Edwin; Latchney, Lisa; Williams, David; Dubra, Alfredo; Chung, Mina

2018-01-01

Purpose Several genes causing autosomal-dominant cone-rod dystrophy (AD-CRD) have been identified. However, the mechanisms by which genetic mutations lead to cellular loss in human disease remain poorly understood. Here we combine genotyping with high-resolution adaptive optics retinal imaging to elucidate the retinal phenotype at a cellular level in patients with AD-CRD harbouring a defect in the GUCA1A gene. Methods Nine affected members of a four-generation AD-CRD pedigree and three unaffected first-degree relatives underwent clinical examinations including visual acuity, fundus examination, Goldmann perimetry, spectral domain optical coherence tomography and electroretinography. Genome-wide scan followed by bidirectional sequencing was performed on all affected participants. High-resolution imaging using a custom adaptive optics scanning light ophthalmoscope (AOSLO) was performed for selected participants. Results Clinical evaluations showed a range of disease severity from normal fundus appearance in teenaged patients to pronounced macular atrophy in older patients. Molecular genetic testing showed a mutation in in GUCA1A segregating with disease. AOSLO imaging revealed that of the two teenage patients with mild disease, one had severe disruption of the photoreceptor mosaic while the other had a normal cone mosaic. Conclusions AOSLO imaging demonstrated variability in the pattern of cone and rod cell loss between two teenage cousins with early AD-CRD, who had similar clinical features and had the identical disease-causing mutation in GUCA1A. This finding suggests that a mutation in GUCA1A does not lead to the same degree of AD-CRD in all patients. Modifying factors may mitigate or augment disease severity, leading to different retinal cellular phenotypes. PMID:29074494
Methodology and potential pitfalls in allergic diseases study designs: measurements for the assessment of the overall severity of atopic dermatitis--the four step severity score (FSSS), SCORAD-related, electronic system, for the simple and rapid evaluation of the skin and mucosal allergic inflammation.

PubMed

Mastrandrea, F; Pecora, S; Scatena, C; Cadario, G

2005-11-01

Medical statistics may contribute to ameliorate research by improving the design of studies and identifying the optimal method for the analysis of results. Sometimes, nevertheless, it could be misemployed flawing the benefit potential. Allergic diseases pathogenesis is recognized to be systemic but global initiatives such as GINA and ARIA documents define allergic asthma and rhinitis as organ diseases; such an asymmetrical view raises a set of known and unknown confounding that could influence the quality of the process of evidence-based decision-making (topic symptomatic therapeutic interventions versus systemic pathogenetic interventions). This article shows the first scoring system for the assessment of atopic dermatitis lesions developed in the allergy-area. A four-step severity score (FSSS) was chosen in agreement with those developed for asthma and rhinitis in global initiatives, to avoid any further differences in evaluating the severity of allergic diseases. FSSS relates each step with the objective signs of the SCORAD and rates the disease course as intermittent or persistent. A devoted electronic program has been also framed to allow a quick and simple contemporary evaluation of the SCORAD Index (Section I) and of the FSSS (Section II); the program furthermore foresees a third section named ESAS (Extra Skin Allergic Signs) (Section III) in which it is possible to check whether organs other than the skin are involved by the allergic inflammation. The limitations potential generated by a misemployment of medical statistics for clinical trials designed to establish benefits rising from specific immunotherapy for allergic diseases have been also discussed extensively.
Factors affecting interactome-based prediction of human genes associated with clinical signs.

PubMed

González-Pérez, Sara; Pazos, Florencio; Chagoyen, Mónica

2017-07-17

Clinical signs are a fundamental aspect of human pathologies. While disease diagnosis is problematic or impossible in many cases, signs are easier to perceive and categorize. Clinical signs are increasingly used, together with molecular networks, to prioritize detected variants in clinical genomics pipelines, even if the patient is still undiagnosed. Here we analyze the ability of these network-based methods to predict genes that underlie clinical signs from the human interactome. Our analysis reveals that these approaches can locate genes associated with clinical signs with variable performance that depends on the sign and associated disease. We analyzed several clinical and biological factors that explain these variable results, including number of genes involved (mono- vs. oligogenic diseases), mode of inheritance, type of clinical sign and gene product function. Our results indicate that the characteristics of the clinical signs and their related diseases should be considered for interpreting the results of network-prediction methods, such as those aimed at discovering disease-related genes and variants. These results are important due the increasing use of clinical signs as an alternative to diseases for studying the molecular basis of human pathologies.
Lyme disease and conservation

USGS Publications Warehouse

Ginsberg, H.

1994-01-01

Lyme disease is a tick-borne illness that is wide-spread in North America, especially in the northeastern and northcentral United States. This disease could negatively influence efforts to conserve natural populations in two ways: (1) the disease could directly affect wild animal health; and (2) tick control efforts could adversely affect natural populations and communities. Lyme disease affects several domestic animals, but symptoms have been reported in only a few wild species. Direct effects of Lyme disease on wild animal populations have not been reported, but the disease should be considered as a possible cause in cases of unexplained population declines in endemic areas. Methods available to manage ticks and Lyme disease include human self-protection techniques, manipulation of habitats and hosts species populations, biological control, and pesticide applications. The diversity of available techniques allows selection of approaches to minimize environmental effects by (1) emphasizing personal protection techniques, (2) carefully targeting management efforts to maximize efficiency, and (3) integrating environmentally benign techniques to improve management while avoiding broad-scale environmentally destructive approaches. The environmental effects of Lyme disease depend, to a large extent, on the methods chosen to minimize human exposure to infected ticks. Conservation biologists can help design tick management programs that effectively lower the incidence of human Lyme disease while simultaneously minimizing negative effects on natural populations.
[Imaging of pleural diseases: evaluation of imaging methods based on chest radiography].

PubMed

Poyraz, Necdet; Kalkan, Havva; Ödev, Kemal; Ceran, Sami

2017-03-01

The most commonly employed radiologic method in diagnosis of pleural diseases is conventional chest radiograph. The commonest chest- X-Ray findings are the presence of pleural effusion and thickening. Small pleural effusions are not readily identified on posteroanterior chest radiograph. However, lateral decubitus chest radiograph and chest ultrasonography may show small pleural effusions. These are more efficient methods than posteroanterior chest radiograph in the erect position for demonstrating small amounts of free pleural effusions. Chest ultrasonograph may be able to help in distinguishing the pleural pathologies from parenchymal lesions. On chest radiograph pleural effusions or pleural thickening may obscure the visibility of the underlying disease or parenchymal abnormality. Thus, computed tomography (CT) may provide additional information of determining the extent and severity of pleural disease and may help to differentiate malign pleural lesions from the benign ones. Moreover, CT may provide the differentiation of parenchmal abnormalities from pleural pathologies. CT (coronal and sagittal reformatted images) that also show invasion of chest wall, mediastinum and diaphragm, as well as enlarged hilar or mediastinal lymph nodes. Standart non-invasive imaging techniques may be supplemented with magnetic resonans imaging (MRI).

Glycated Hemoglobin (HbA1c) Correlation with Severity of Coronary Artery Disease in Non-diabetic Patients - A Hospital based Study from North-Eastern India

PubMed Central

Dutta, Bornali; Neginhal, Mahesh

2016-01-01

Introduction Glycated Hemoglobin (HbA1c) levels are predictive of cardiovascular disease and mortality in patients with diabetes mellitus, however, association of HbA1c with Coronary Artery Disease (CAD) in non-diabetics is inconsistent. Aim To evaluate the correlation between HbA1c level and severity of CAD in non-diabetic patients using SYNTAX score in a cohort of proven CAD on angiography at Gauhati Medical College, Guwahati, Assam, India, which is a major tertiary care hospital of North-Eastern India. Materials and Methods We prospectively collected data of non-diabetic patients with proven CAD on angiography from June 2014 to June 2015. Patients were divided into four groups (interquartiles) according to HbA1c levels, less than 4.8%, 4.8% to 5.1%, 5.1% to 5.6%, and 5.6% to 6.5%. Severity of CAD was assessed using SYNTAX score and the number of coronary vessels diseased. We compared different quartiles of HbA1c with regard to SYNTAX score and number of diseased vessels. Results A total of 346 patients were included in the study. Mean age was 58.1±10.4 years. Of the total 91.9% (318) were males, 44.8% (155) were hypertensives, 29.2% (101) were smokers and 34.7% (120) were dyslipidemic. We found that CAD severity by SYNTAX score as well as number of vessels involved was significantly different among quartiles (p-values <0.001 and <0.001 respectively). Increase in HbA1c level was strongly correlated with disease severity and higher SYNTAX score. A significant increase was noted in the mean number of diseased vessels (p-value <0.001) as HbA1c level increases. Age, gender, hypertension and dyslipidemia did not show significant difference among quartiles however smoking was found to be an independent predictor of severity of CAD by SYNTAX score (p <0.05). Conclusion From this clinical study, we can conclude that a significant correlation exists between HbA1c and severity of CAD by SYNTAX score as well as number of vessels involved in non- diabetes. PMID:27790487
Robust Identification of Alzheimer's Disease subtypes based on cortical atrophy patterns.

PubMed

Park, Jong-Yun; Na, Han Kyu; Kim, Sungsoo; Kim, Hyunwook; Kim, Hee Jin; Seo, Sang Won; Na, Duk L; Han, Cheol E; Seong, Joon-Kyung

2017-03-09

Accumulating evidence suggests that Alzheimer's disease (AD) is heterogenous and can be classified into several subtypes. Here, we propose a robust subtyping method for AD based on cortical atrophy patterns and graph theory. We calculated similarities between subjects in their atrophy patterns throughout the whole brain, and clustered subjects with similar atrophy patterns using the Louvain method for modular organization extraction. We applied our method to AD patients recruited at Samsung Medical Center and externally validated our method by using the AD Neuroimaging Initiative (ADNI) dataset. Our method categorized very mild AD into three clinically distinct subtypes with high reproducibility (>90%); the parietal-predominant (P), medial temporal-predominant (MT), and diffuse (D) atrophy subtype. The P subtype showed the worst clinical presentation throughout the cognitive domains, while the MT and D subtypes exhibited relatively mild presentation. The MT subtype revealed more impaired language and executive function compared to the D subtype.
Robust Identification of Alzheimer’s Disease subtypes based on cortical atrophy patterns

NASA Astrophysics Data System (ADS)

Park, Jong-Yun; Na, Han Kyu; Kim, Sungsoo; Kim, Hyunwook; Kim, Hee Jin; Seo, Sang Won; Na, Duk L.; Han, Cheol E.; Seong, Joon-Kyung; Weiner, Michael; Aisen, Paul; Petersen, Ronald; Jack, Clifford R.; Jagust, William; Trojanowki, John Q.; Toga, Arthur W.; Beckett, Laurel; Green, Robert C.; Saykin, Andrew J.; Morris, John; Shaw, Leslie M.; Liu, Enchi; Montine, Tom; Thomas, Ronald G.; Donohue, Michael; Walter, Sarah; Gessert, Devon; Sather, Tamie; Jiminez, Gus; Harvey, Danielle; Bernstein, Matthew; Fox, Nick; Thompson, Paul; Schuff, Norbert; Decarli, Charles; Borowski, Bret; Gunter, Jeff; Senjem, Matt; Vemuri, Prashanthi; Jones, David; Kantarci, Kejal; Ward, Chad; Koeppe, Robert A.; Foster, Norm; Reiman, Eric M.; Chen, Kewei; Mathis, Chet; Landau, Susan; Cairns, Nigel J.; Householder, Erin; Taylor Reinwald, Lisa; Lee, Virginia; Korecka, Magdalena; Figurski, Michal; Crawford, Karen; Neu, Scott; Foroud, Tatiana M.; Potkin, Steven G.; Shen, Li; Kelley, Faber; Kim, Sungeun; Nho, Kwangsik; Kachaturian, Zaven; Frank, Richard; Snyder, Peter J.; Molchan, Susan; Kaye, Jeffrey; Quinn, Joseph; Lind, Betty; Carter, Raina; Dolen, Sara; Schneider, Lon S.; Pawluczyk, Sonia; Beccera, Mauricio; Teodoro, Liberty; Spann, Bryan M.; Brewer, James; Vanderswag, Helen; Fleisher, Adam; Heidebrink, Judith L.; Lord, Joanne L.; Mason, Sara S.; Albers, Colleen S.; Knopman, David; Johnson, Kris; Doody, Rachelle S.; Villanueva Meyer, Javier; Chowdhury, Munir; Rountree, Susan; Dang, Mimi; Stern, Yaakov; Honig, Lawrence S.; Bell, Karen L.; Ances, Beau; Carroll, Maria; Leon, Sue; Mintun, Mark A.; Schneider, Stacy; Oliver, Angela; Marson, Daniel; Griffith, Randall; Clark, David; Geldmacher, David; Brockington, John; Roberson, Erik; Grossman, Hillel; Mitsis, Effie; de Toledo-Morrell, Leyla; Shah, Raj C.; Duara, Ranjan; Varon, Daniel; Greig, Maria T.; Roberts, Peggy; Albert, Marilyn; Onyike, Chiadi; D'Agostino, Daniel, II; Kielb, Stephanie; Galvin, James E.; Pogorelec, Dana M.; Cerbone, Brittany; Michel, Christina A.; Rusinek, Henry; de Leon, Mony J.; Glodzik, Lidia; de Santi, Susan; Doraiswamy, P. Murali; Petrella, Jeffrey R.; Wong, Terence Z.; Arnold, Steven E.; Karlawish, Jason H.; Wolk, David; Smith, Charles D.; Jicha, Greg; Hardy, Peter; Sinha, Partha; Oates, Elizabeth; Conrad, Gary; Lopez, Oscar L.; Oakley, Maryann; Simpson, Donna M.; Porsteinsson, Anton P.; Goldstein, Bonnie S.; Martin, Kim; Makino, Kelly M.; Ismail, M. Saleem; Brand, Connie; Mulnard, Ruth A.; Thai, Gaby; Mc Adams Ortiz, Catherine; Womack, Kyle; Mathews, Dana; Quiceno, Mary; Diaz Arrastia, Ramon; King, Richard; Weiner, Myron; Martin Cook, Kristen; Devous, Michael; Levey, Allan I.; Lah, James J.; Cellar, Janet S.; Burns, Jeffrey M.; Anderson, Heather S.; Swerdlow, Russell H.; Apostolova, Liana; Tingus, Kathleen; Woo, Ellen; Silverman, Daniel H. S.; Lu, Po H.; Bartzokis, George; Graff Radford, Neill R.; Parfitt, Francine; Kendall, Tracy; Johnson, Heather; Farlow, Martin R.; Marie Hake, Ann; Matthews, Brandy R.; Herring, Scott; Hunt, Cynthia; van Dyck, Christopher H.; Carson, Richard E.; Macavoy, Martha G.; Chertkow, Howard; Bergman, Howard; Hosein, Chris; Black, Sandra; Stefanovic, Bojana; Caldwell, Curtis; Robin Hsiung, Ging Yuek; Feldman, Howard; Mudge, Benita; Assaly, Michele; Trost, Dick; Bernick, Charles; Munic, Donna; Kerwin, Diana; Marsel Mesulam, Marek; Lipowski, Kristine; Kuo Wu, Chuang; Johnson, Nancy; Sadowsky, Carl; Martinez, Walter; Villena, Teresa; Scott Turner, Raymond; Johnson, Kathleen; Reynolds, Brigid; Sperling, Reisa A.; Johnson, Keith A.; Marshall, Gad; Frey, Meghan; Yesavage, Jerome; Taylor, Joy L.; Lane, Barton; Rosen, Allyson; Tinklenberg, Jared; Sabbagh, Marwan N.; Belden, Christine M.; Jacobson, Sandra A.; Sirrel, Sherye A.; Kowall, Neil; Killiany, Ronald; Budson, Andrew E.; Norbash, Alexander; Lynn Johnson, Patricia; Obisesan, Thomas O.; Wolday, Saba; Allard, Joanne; Lerner, Alan; Ogrocki, Paula; Hudson, Leon; Fletcher, Evan; Carmichael, Owen; Olichney, John; Kittur, Smita; Borrie, Michael; Lee, T. Y.; Bartha, Rob; Johnson, Sterling; Asthana, Sanjay; Carlsson, Cynthia M.; Preda, Adrian; Nguyen, Dana; Tariot, Pierre; Reeder, Stephanie; Bates, Vernice; Capote, Horacio; Rainka, Michelle; Scharre, Douglas W.; Kataki, Maria; Adeli, Anahita; Zimmerman, Earl A.; Celmins, Dzintra; Brown, Alice D.; Pearlson, Godfrey D.; Blank, Karen; Anderson, Karen; Santulli, Robert B.; Kitzmiller, Tamar J.; Schwartz, Eben S.; Sink, Kaycee M.; Williamson, Jeff D.; Garg, Pradeep; Watkins, Franklin; Ott, Brian R.; Querfurth, Henry; Tremont, Geoffrey; Salloway, Stephen; Malloy, Paul; Correia, Stephen; Rosen, Howard J.; Miller, Bruce L.; Mintzer, Jacobo; Spicer, Kenneth; Bachman, David; Finger, Elizabether; Pasternak, Stephen; Rachinsky, Irina; Rogers, John; Kertesz, Andrew; Pomara, Nunzio; Hernando, Raymundo; Sarrael, Antero; Schultz, Susan K.; Boles Ponto, Laura L.; Shim, Hyungsub; Smith, Karen Elizabeth; Relkin, Norman; Chaing, Gloria; Raudin, Lisa; Smith, Amanda; Fargher, Kristin; Raj, Balebail Ashok

2017-03-01

Accumulating evidence suggests that Alzheimer’s disease (AD) is heterogenous and can be classified into several subtypes. Here, we propose a robust subtyping method for AD based on cortical atrophy patterns and graph theory. We calculated similarities between subjects in their atrophy patterns throughout the whole brain, and clustered subjects with similar atrophy patterns using the Louvain method for modular organization extraction. We applied our method to AD patients recruited at Samsung Medical Center and externally validated our method by using the AD Neuroimaging Initiative (ADNI) dataset. Our method categorized very mild AD into three clinically distinct subtypes with high reproducibility (>90%) the parietal-predominant (P), medial temporal-predominant (MT), and diffuse (D) atrophy subtype. The P subtype showed the worst clinical presentation throughout the cognitive domains, while the MT and D subtypes exhibited relatively mild presentation. The MT subtype revealed more impaired language and executive function compared to the D subtype.
Cluster analysis in phenotyping a Portuguese population.

PubMed

Loureiro, C C; Sa-Couto, P; Todo-Bom, A; Bousquet, J

2015-09-03

Unbiased cluster analysis using clinical parameters has identified asthma phenotypes. Adding inflammatory biomarkers to this analysis provided a better insight into the disease mechanisms. This approach has not yet been applied to asthmatic Portuguese patients. To identify phenotypes of asthma using cluster analysis in a Portuguese asthmatic population treated in secondary medical care. Consecutive patients with asthma were recruited from the outpatient clinic. Patients were optimally treated according to GINA guidelines and enrolled in the study. Procedures were performed according to a standard evaluation of asthma. Phenotypes were identified by cluster analysis using Ward's clustering method. Of the 72 patients enrolled, 57 had full data and were included for cluster analysis. Distribution was set in 5 clusters described as follows: cluster (C) 1, early onset mild allergic asthma; C2, moderate allergic asthma, with long evolution, female prevalence and mixed inflammation; C3, allergic brittle asthma in young females with early disease onset and no evidence of inflammation; C4, severe asthma in obese females with late disease onset, highly symptomatic despite low Th2 inflammation; C5, severe asthma with chronic airflow obstruction, late disease onset and eosinophilic inflammation. In our study population, the identified clusters were mainly coincident with other larger-scale cluster analysis. Variables such as age at disease onset, obesity, lung function, FeNO (Th2 biomarker) and disease severity were important for cluster distinction. Copyright © 2015. Published by Elsevier España, S.L.U.
[Human coronavirus infections: importance and diagnosis].

PubMed

Vabret, A; Brouard, J; Petitjean, J; Eugene-Ruellan, G; Freymuth, F

1998-11-14

POORLY-KNOWN VIRUS: Coronaviruses, so named because of their sun-ray-like aspect, were discovered in the sixties. The biology of these RNA viruses is complex and poorly understood. KNOWN PATHOGENS: Coronaviruses are known pathogens in veterinary medicine, causing disease states in several domestic species. In human medicine, they can cause benign respiratory infections, but few laboratories include coronaviruses in their routine diagnostic tests. SUSPECTED PATHOGENS: There is some data in the literature suggesting coronaviruses might be implicated in more severe diseases including multiple sclerosis, necrotizing enterocolitis, and lower respiratory tract infections, particularly in infants. IMPROVING DIAGNOSTIC METHODS: Due to the lack of reliable and sensitive diagnostic techniques, it is impossible to date to correctly assess the medical impact of these ubiquitous and endemic viruses. Molecular biology techniques enabling detection of human coronavirus infections should be applied to verifying the suspected implication of these viruses in diverse disease states.
Spatiotemporal coupling of the tongue in amyotrophic lateral sclerosis.

PubMed

Kuruvilla, Mili S; Green, Jordan R; Yunusova, Yana; Hanford, Kathy

2012-12-01

The primary aim of the investigation was to identify deficits in spatiotemporal coupling between tongue regions in amyotrophic lateral sclerosis (ALS). The relations between disease-related changes in tongue movement patterns and speech intelligibility were also determined. Methods The authors recorded word productions from 11 individuals with ALS with mild, moderate, and severe dysarthria using an x-ray microbeam during word productions. A coupling index based on sliding window covariance was used to determine disease-related changes in the coupling between the tongue regions across each word. The results indicated decreased spatiotemporal coupling of mid-posterior tongue regions and reduced tongue speed in the ALS-moderate subgroup. Changes in the range of tongue coupling relations and speed of movement were highly correlated with speech intelligibility. These results provide new insights into the loss of lingual motor control due to ALS and suggest that measures of tongue performance may provide useful indicators of bulbar disease severity and progression.
Translational study of microRNAs and its application in kidney disease and hypertension research

PubMed Central

KRIEGEL, Alison J.; MLADINOV, Domagoj; LIANG, Mingyu

2015-01-01

MicroRNA research in humans and mammalian model organisms is in a crucial stage of development. Diagnostic and therapeutic values of microRNAs appear promising, but remain to be established. The physiological and pathophysiological significance of microRNAs is generally recognized, but much better understood in some organ systems and disease areas than others. In the present paper, we review several translational studies of microRNAs, including those showing the potential value of therapeutic agents targeting microRNAs and diagnostic or prognostic microRNA markers detectable in body fluids. We discuss the lessons learned and the experience gained from these studies. Several recent studies have begun to explore translational microRNA research in kidney disease and hypertension. Translational research of microRNAs in the kidney faces unique challenges, but provides many opportunities to develop and apply new methods, and to merge complementary basic and clinical approaches. PMID:22283365
Geographic Differences in Time to Culture Conversion in Liquid Media: Tuberculosis Trials Consortium Study 28. Culture Conversion Is Delayed in Africa

PubMed Central

Mac Kenzie, William R.; Heilig, Charles M.; Bozeman, Lorna; Johnson, John L.; Muzanye, Grace; Dunbar, Denise; Jost, Kenneth C.; Diem, Lois; Metchock, Beverly; Eisenach, Kathleen; Dorman, Susan; Goldberg, Stefan

2011-01-01

Background Tuberculosis Trials Consortium Study 28, was a double blind, randomized, placebo-controlled, phase 2 clinical trial examining smear positive pulmonary Mycobacterium tuberculosis. Over the course of intensive phase therapy, patients from African sites had substantially delayed and lower rates of culture conversion to negative in liquid media compared to non-African patients. We explored potential explanations of this finding. Methods In TBTC Study 28, protocol-correct patients (n = 328) provided spot sputum specimens for M. tuberculosis culture in liquid media, at baseline and weeks 2, 4, 6 and 8 of study therapy. We compared sputum culture conversion for African and non-African patients stratified by four baseline measures of disease severity: AFB smear quantification, extent of disease on chest radiograph, cavity size and the number of days to detection of M. tuberculosis in liquid media using the Kaplan-Meier product-limit method. We evaluated specimen processing and culture procedures used at 29 study laboratories serving 27 sites. Results African TB patients had more extensive disease at enrollment than non-African patients. However, African patients with the least disease by the 4 measures of disease severity had conversion rates on liquid media that were substantially lower than conversion rates in non-African patients with the greatest extent of disease. HIV infection, smoking and diabetes did not explain delayed conversion in Africa. Some inter-site variation in laboratory processing and culture procedures within accepted practice for clinical diagnostic laboratories was found. Conclusions Compared with patients from non-African sites, African patients being treated for TB had delayed sputum culture conversion and lower sputum conversion rates in liquid media that were not explained by baseline severity of disease, HIV status, age, smoking, diabetes or race. Further investigation is warranted into whether modest variation in laboratory processes substantially influences the efficacy outcomes of phase 2 TB treatment trials or if other factors (e.g., nutrition, host response) are involved. Trial Registration ClinicalTrials.gov NCT00144417 PMID:21494548
Pathophysiology and management of multivalvular disease

PubMed Central

Unger, Philippe; Clavel, Marie-Annick; Lindman, Brian R.; Mathieu, Patrick; Pibarot, Philippe

2016-01-01

Multivalvular disease (MVD) is a common condition with a complex pathophysiology, dependent on the specific combination of valve lesions. Diagnosis is challenging as several echocardiographic methods commonly used for the assessment of stenosis or regurgitation have been validated only in patients with single valve disease. Decisions about the timing and type of treatment should be made by a multidisciplinary heart valve team, on a case-by-case basis. Several factors should be considered, including the severity and consequences of the MVD, the patient’s life expectancy and comorbidities, the surgical risk associated with combined valve procedures, the long-term risk of morbidity and mortality associated with multiple valve prostheses, and the likelihood and risk of reoperation. The introduction of transcatheter valve therapies into clinical practice has provided new treatment options for patients with MVD, and decision-making algorithms on how to combine surgical and percutaneous treatment options are evolving rapidly. In this Review, we discuss the pathophysiology, diagnosis, and treatment of MVD, focussing on the combination of valve pathologies that are most often encountered in clinical practice. PMID:27121305
Regional cyst concentration as a prognostic biomarker for polycystic kidney disease

NASA Astrophysics Data System (ADS)

Warner, Joshua D.; Irazabal, Maria V.; Torres, Vicente E.; King, Bernard F.; Erickson, Bradley J.

2014-03-01

Polycystic kidney disease (PKD) is a major cause of renal failure. Despite recent advances in understanding the biochemistry and genetics of PKD, the functional mechanisms underpinning the declines in renal function observed in the disorder are not well established. No studies investigating the distribution of cysts within polycystic kidneys exist. This work introduces regional cyst concentration as a new biomarker for evaluation of patients suffering from PKD. We derive a method to define central and peripheral regions of the kidney, approximating the anatomical division between cortex and medulla, and apply it to two cohorts of ten patients with early/mild or late/severe disease. Our results from the late/severe cohort show peripheral cyst concentration correlates with the current standard PKD biomarker, total kidney volume (TKV), signi cantly better than central cyst concentration (p < 0.05). We also find that cyst concentration was globally increased in the late/severe cohort (p << 0.01) compared to the early/mild cohort, for both central and peripheral regions. These findings show cysts in PKD are not distributed homogeneously throughout the renal tissues.
Younger and Sicker: Comparing Micronesians to Other Ethnicities in Hawaii

PubMed Central

Miyamura, Jill; Yamada, Seiji; Sentell, Tetine

2016-01-01

Objectives. We compared the age at admission and the severity of illness of hospitalized Micronesians with 3 other racial/ethnic groups in Hawaii. Methods. With Hawaii Health Information Corporation inpatient data, we determined the age at admission and the severity of illness for 162 152 adult, non–pregnancy-related hospital discharges in Hawaii from 2010 to 2012. We performed multivariable linear regression analyses within major disease categories by racial/ethnic group. We created disease categories with all patient refined–diagnosis related groups. Results. Hospitalized Micronesians were significantly younger at admission than were comparison racial/ethnic groups across all patient refined–diagnosis related group categories. The severity of illness for Micronesians was significantly higher than was that of all comparison racial/ethnic groups for cardiac and infectious diseases, higher than was that of Whites and Japanese for cancer and endocrine hospitalizations, and higher than was that of Native Hawaiians for substance abuse hospitalizations. Conclusions. Micronesians were hospitalized significantly younger and often sicker than were comparison populations. Our results will be useful to researchers, state governments, and hospitals, providers, and health systems for this vulnerable group. PMID:26691107
Risk factors for severe outcomes among members of the United States military hospitalized with pneumonia and influenza, 2000–2012

PubMed Central

Van Kerkhove, Maria D; Cooper, Michael J.; Eick-Cost, Angelia A.; Sanchez, Jose L.; Riley, Steven

2016-01-01

Background The progression from hospitalization for a respiratory infection to requiring substantial supportive therapy is a key stage of the influenza severity pyramid. Respiratory infections are responsible for 300,000 to 400,000 medical encounters each year among US military personnel, some of which progress to severe acute respiratory infections. Methods We obtained data on 11,086 hospitalizations for pneumonia and influenza (P&I) among non-recruit US military service members during the period of 1 January 2000 through 31 December 2012. From these, we identified 512 P&I hospitalizations that progressed to severe episodes using standard case definitions. We evaluated the effect of demographic and occupational characteristics, comorbid conditions, and history of influenza vaccination on the risk of a hospitalized P&I case becoming a severe case. We also evaluated the risk of a severe outcome and the length of time since influenza vaccination (within 180, 60 and 30 days). Results The median age of subjects at the time of the P&I episode was 32 years (range, 28–40) and subjects were predominantly male (89.5%). In a univariate analysis, demographic risk factors for a severe episode included service in the US Air Force (RR=1.6 relative to US Army, 95%CI 1.3-2.1), US Coast Guard (RR=2.1, 1.2-3.7) or US Navy (RR=1.4, 1.1-1.8). Being born in the US and recent influenza vaccination (within 180 days of episode) were protective against developing severe disease. Among comorbid conditions, univariate risk factors for severe disease included chronic renal or liver disease (RR=4.98, 95%CI 4.1-6.1), diseases of the circulatory system (RR=3.1, 95%CI 2.6-3.7), diabetes mellitus (RR=2.3, 95%CI 1.5-3.6), obesity (RR=1.6, 95%CI 1.2-2.1), cancer (RR=1.6, 95%CI 1.3-2.0) and chronic obstructive pulmonary disease (RR=1.4, 95%CI 1.1-1.7). Although many of the risk factors found to be significant in univariate analysis were no longer significant under a multivariate analysis, receipt of any influenza vaccine within 180 days of episode remained protective (RR=0.81, 95%CI 0.67-0.99), while serving in the US Coast Guard (RR=1.9, 95%CI 1.1-3.4) or US Air Force (RR=1. 5, 95%CI 1.2-2.0), presence of renal or liver disease (RR=3.6, 95%CI 2.9-4.6) and diseases of the circulatory system (RR=2.2, 95%CI 1.8-2.8), remained significantly associated with a higher risk of developing severe disease. Conclusions In a large cohort, after adjusting for many possible risk factors, influenza vaccination was protective against severe episodes among P&I hospitalizations. The service-specific (US Coast Guard or US Air Force) increased risk may represent some differences in data (e.g., coding or reporting practices) as opposed to genuine differences in physiological outcome. Our findings suggest that renal and liver disease as well as diseases of the circulatory system may contribute to influenza severity in this population independently of age and other potential comorbidities. These findings provide additional evidence for the prioritization of specific risk groups within the US military for influenza vaccination. PMID:26494627
Development of a Trypanosoma cruzi strain typing assay using MS2 peptide spectral libraries (Tc-STAMS2)

PubMed Central

de Oliveira, Gilberto Santos; Kawahara, Rebeca; Rosa-Fernandes, Livia; Avila, Carla Cristi; Teixeira, Marta M. G.; Larsen, Martin R.

2018-01-01

Background Chagas disease also known as American trypanosomiasis is caused by the protozoan Trypanosoma cruzi. Over the last 30 years, Chagas disease has expanded from a neglected parasitic infection of the rural population to an urbanized chronic disease, becoming a potentially emergent global health problem. T. cruzi strains were assigned to seven genetic groups (TcI-TcVI and TcBat), named discrete typing units (DTUs), which represent a set of isolates that differ in virulence, pathogenicity and immunological features. Indeed, diverse clinical manifestations (from asymptomatic to highly severe disease) have been attempted to be related to T.cruzi genetic variability. Due to that, several DTU typing methods have been introduced. Each method has its own advantages and drawbacks such as high complexity and analysis time and all of them are based on genetic signatures. Recently, a novel method discriminated bacterial strains using a peptide identification-free, genome sequence-independent shotgun proteomics workflow. Here, we aimed to develop a Trypanosoma cruzi Strain Typing Assay using MS/MS peptide spectral libraries, named Tc-STAMS2. Methods/Principal findings The Tc-STAMS2 method uses shotgun proteomics combined with spectral library search to assign and discriminate T. cruzi strains independently on the genome knowledge. The method is based on the construction of a library of MS/MS peptide spectra built using genotyped T. cruzi reference strains. For identification, the MS/MS peptide spectra of unknown T. cruzi cells are identified using the spectral matching algorithm SpectraST. The Tc-STAMS2 method allowed correct identification of all DTUs with high confidence. The method was robust towards different sample preparations, length of chromatographic gradients and fragmentation techniques. Moreover, a pilot inter-laboratory study showed the applicability to different MS platforms. Conclusions and significance This is the first study that develops a MS-based platform for T. cruzi strain typing. Indeed, the Tc-STAMS2 method allows T. cruzi strain typing using MS/MS spectra as discriminatory features and allows the differentiation of TcI-TcVI DTUs. Similar to genomic-based strategies, the Tc-STAMS2 method allows identification of strains within DTUs. Its robustness towards different experimental and biological variables makes it a valuable complementary strategy to the current T. cruzi genotyping assays. Moreover, this method can be used to identify DTU-specific features correlated with the strain phenotype. PMID:29608573
The analysis of volatile organic compounds in exhaled breath and biomarkers in exhaled breath condensate in children - clinical tools or scientific toys?

PubMed

van Mastrigt, E; de Jongste, J C; Pijnenburg, M W

2015-07-01

Current monitoring strategies for respiratory diseases are mainly based on clinical features, lung function and imaging. As airway inflammation is the hallmark of many respiratory diseases in childhood, noninvasive methods to assess the presence and severity of airway inflammation might be helpful in both diagnosing and monitoring paediatric respiratory diseases. At present, the measurement of fractional exhaled nitric oxide is the only noninvasive method available to assess eosinophilic airway inflammation in clinical practice. We aimed to evaluate whether the analysis of volatile organic compounds (VOCs) in exhaled breath (EB) and biomarkers in exhaled breath condensate (EBC) is helpful in diagnosing and monitoring respiratory diseases in children. An extensive literature search was conducted in Medline, Embase and PubMed on the analysis and applications of VOCs in EB and EBC in children. We retrieved 1165 papers, of which nine contained original data on VOCs in EB and 84 on biomarkers in EBC. These were included in this review. We give an overview of the clinical applications in childhood and summarize the methodological issues. Several VOCs in EB and biomarkers in EBC have the potential to distinguish patients from healthy controls and to monitor treatment responses. Lack of standardization of collection methods and analysis techniques hampers the introduction in clinical practice. The measurement of metabolomic profiles may have important advantages over detecting single markers. There is a lack of longitudinal studies and external validation to reveal whether EB and EBC analysis have added value in the diagnostic process and follow-up of children with respiratory diseases. In conclusion, the use of VOCs in EB and biomarkers in EBC as markers of inflammatory airway diseases in children is still a research tool and not validated for clinical use. © 2014 John Wiley & Sons Ltd.
Individualizing Pharmacotherapy in Patients with Renal Impairment: The Validity of the Modification of Diet in Renal Disease Formula in Specific Patient Populations with a Glomerular Filtration Rate below 60 Ml/Min. A Systematic Review

PubMed Central

Kramers, Cornelis; Derijks, Hieronymus J.; Wensing, Michel; Wetzels, Jack F. M.

2015-01-01

Background The Modification of Diet in Renal Disease (MDRD) formula is widely used in clinical practice to assess the correct drug dose. This formula is based on serum creatinine levels which might be influenced by chronic diseases itself or the effects of the chronic diseases. We conducted a systematic review to determine the validity of the MDRD formula in specific patient populations with renal impairment: elderly, hospitalized and obese patients, patients with cardiovascular disease, cancer, chronic respiratory diseases, diabetes mellitus, liver cirrhosis and human immunodeficiency virus. Methods and Findings We searched for articles in Pubmed published from January 1999 through January 2014. Selection criteria were (1) patients with a glomerular filtration rate (GFR) < 60 ml/min (/1.73m2), (2) MDRD formula compared with a gold standard and (3) statistical analysis focused on bias, precision and/or accuracy. Data extraction was done by the first author and checked by a second author. A bias of 20% or less, a precision of 30% or less and an accuracy expressed as P30% of 80% or higher were indicators of the validity of the MDRD formula. In total we included 27 studies. The number of patients included ranged from 8 to 1831. The gold standard and measurement method used varied across the studies. For none of the specific patient populations the studies provided sufficient evidence of validity of the MDRD formula regarding the three parameters. For patients with diabetes mellitus and liver cirrhosis, hospitalized patients and elderly with moderate to severe renal impairment we concluded that the MDRD formula is not valid. Limitations of the review are the lack of considering the method of measuring serum creatinine levels and the type of gold standard used. Conclusion In several specific patient populations with renal impairment the use of the MDRD formula is not valid or has uncertain validity. PMID:25741695
Is Pregnancy Associated with Severe Dengue? A Review of Data from the Rio de Janeiro Surveillance Information System

PubMed Central

Machado, Carolina Romero; Machado, Elizabeth Stankiewicz; Rohloff, Roger Denis; Azevedo, Marina; Campos, Dayse Pereira; de Oliveira, Robson Bruniera; Brasil, Patrícia

2013-01-01

Background Dengue is a reportable disease in Brazil; however, pregnancy has been included in the application form of the Brazilian notification information system only after 2006. To estimate the severity of maternal dengue infection, the available data that were compiled from January 2007 to December 2008 by the official surveillance information system of the city of Rio de Janeiro were reviewed. Methods and Principal Findings During the study period, 151,604 cases of suspected dengue infection were reported. Five hundred sixty-one women in their reproductive age (15–49 years) presented with dengue infection; 99 (18.1%) pregnant and 447 (81.9%) non-pregnant women were analyzed. Dengue cases were categorized using the 1997 WHO classification system, and DHF/DSS were considered severe disease. The Mann-Whitney test was used to compare maternal age, according to gestational period, and severity of disease. A chi-square test was utilized to evaluate the differences in the proportion of dengue severity between pregnant and non-pregnant women. Univariate analysis was performed to compare outcome variables (severe dengue and non-severe dengue) and explanatory variables (pregnancy, gestational age and trimester) using the Wald test. A multivariate analysis was performed to assess the independence of statistically significant variables in the univariate analysis. A p-value<0.05 was considered statistically significant. A higher percentage of severe dengue infection among pregnant women was found, p = 0.0001. Final analysis demonstrated that pregnant women are 3.4 times more prone to developing severe dengue (OR: 3.38; CI: 2.10–5.42). Mortality among pregnant women was superior to non-pregnant women. Conclusion Pregnant women have an increased risk of developing severe dengue infection and dying of dengue. PMID:23675548
Roi Detection and Vessel Segmentation in Retinal Image

NASA Astrophysics Data System (ADS)

Sabaz, F.; Atila, U.

2017-11-01

Diabetes disrupts work by affecting the structure of the eye and afterwards leads to loss of vision. Depending on the stage of disease that called diabetic retinopathy, there are sudden loss of vision and blurred vision problems. Automated detection of vessels in retinal images is a useful study to diagnose eye diseases, disease classification and other clinical trials. The shape and structure of the vessels give information about the severity of the disease and the stage of the disease. Automatic and fast detection of vessels allows for a quick diagnosis of the disease and the treatment process to start shortly. ROI detection and vessel extraction methods for retinal image are mentioned in this study. It is shown that the Frangi filter used in image processing can be successfully used in detection and extraction of vessels.
Pathways, Contributors, and Correlates of Functional Limitation across Specialties: Workshop Summary.

PubMed

Kritchevsky, Stephen B; Forman, Daniel E; Callahan, Kathryn; Ely, E Wesley; High, Kevin P; McFarland, Frances; Pérez-Stable, Eliseo J; Schmader, Kenneth; Studenski, Stephanie; Williams, John; Zieman, Susan; Guralnik, Jack M

2018-04-25

Traditional clinical care models focus on the measurement and normalization of individual organ systems and de-emphasize aspects of health related to the integration of physiologic systems. Measures of physical, cognitive and sensory, and psychosocial or emotional function predict important health outcomes like death and disability independently from the severity of a specific disease, cumulative co-morbidity, or disease severity measures. A growing number of clinical scientists in several subspecialties are exploring the utility of functional assessment to predict complication risk, indicate stress resistance, inform disease screening approaches and risk factor interpretation, and evaluate care. Because a substantial number of older adults in the community have some form of functional limitation, integrating functional assessment into clinical medicine could have a large impact. Although interest in functional implications for health and disease management is growing, the science underlying functional capacity, functional limitation, physical frailty, and functional metrics is often siloed among different clinicians and researchers, with fragmented concepts and methods. On August 25-26, 2016, participants at a trans-disciplinary workshop, supported by the National Institute on Aging and the John A. Hartford Foundation, explored what is known about the pathways, contributors, and correlates of physical, cognitive and sensory functional measures across conditions and disease states; considered social determinants and health disparities; identified knowledge gaps, and suggested priorities for future research. This paper summarizes those discussions.
Real‐World Multicenter Registry of Patients with Severe Coronary Artery Calcification Undergoing Orbital Atherectomy

PubMed Central

Shlofmitz, Evan; Kaplan, Barry; Alexandru, Dragos; Meraj, Perwaiz; Shlofmitz, Richard

2016-01-01

Objectives We evaluated the safety and efficacy of orbital atherectomy in real‐world patients with severe coronary artery calcification (CAC). Background The presence of severe CAC increases the complexity of percutaneous coronary intervention as it may impede stent delivery and optimal stent expansion. Atherectomy may be an indispensable tool for uncrossable or undilatable lesions by modifying severe CAC. Although the ORBIT I and II trials report that orbital atherectomy was safe and effective for the treatment of severe CAC, patients with kidney disease, recent myocardial infarction, long diffuse disease, severe left ventricular dysfunction, and unprotected left main disease were excluded. Methods This retrospective study included 458 consecutive patients with severe CAC who underwent orbital atherectomy followed by stenting from October 2013 to December 2015 at 3 centers. Results The primary endpoint of major adverse cardiac and cerebrovascular events at 30 days was 1.7%. Low rates of 30‐day all‐cause mortality (1.3%), myocardial infarction (1.1%), target vessel revascularization (0%), stroke (0.2%), and stent thrombosis (0.9%) were observed. Angiographic complications were low: perforation was 0.7%, dissection 0.9%, and no‐reflow 0.7%. Emergency coronary artery bypass graft surgery was performed in 0.2% of patients. Conclusion In the largest real‐world study of patients who underwent orbital atherectomy, including high‐risk patients who were not surgical candidates as well as those with very complex coronary anatomy, acute and short‐term adverse clinical event rates were low. A randomized clinical trial is needed to identify the ideal treatment strategy for patients with severe CAC. PMID:27358246
Redrawing the US Obesity Landscape: Bias-Corrected Estimates of State-Specific Adult Obesity Prevalence

PubMed Central

Ward, Zachary J.; Long, Michael W.; Resch, Stephen C.; Gortmaker, Steven L.; Cradock, Angie L.; Giles, Catherine; Hsiao, Amber; Wang, Y. Claire

2016-01-01

Background State-level estimates from the Centers for Disease Control and Prevention (CDC) underestimate the obesity epidemic because they use self-reported height and weight. We describe a novel bias-correction method and produce corrected state-level estimates of obesity and severe obesity. Methods Using non-parametric statistical matching, we adjusted self-reported data from the Behavioral Risk Factor Surveillance System (BRFSS) 2013 (n = 386,795) using measured data from the National Health and Nutrition Examination Survey (NHANES) (n = 16,924). We validated our national estimates against NHANES and estimated bias-corrected state-specific prevalence of obesity (BMI≥30) and severe obesity (BMI≥35). We compared these results with previous adjustment methods. Results Compared to NHANES, self-reported BRFSS data underestimated national prevalence of obesity by 16% (28.67% vs 34.01%), and severe obesity by 23% (11.03% vs 14.26%). Our method was not significantly different from NHANES for obesity or severe obesity, while previous methods underestimated both. Only four states had a corrected obesity prevalence below 30%, with four exceeding 40%–in contrast, most states were below 30% in CDC maps. Conclusions Twelve million adults with obesity (including 6.7 million with severe obesity) were misclassified by CDC state-level estimates. Previous bias-correction methods also resulted in underestimates. Accurate state-level estimates are necessary to plan for resources to address the obesity epidemic. PMID:26954566

Strategies to Prevent, Treat, and Provoke Corynebacterium-Associated Hyperkeratosis in Athymic Nude Mice

PubMed Central

Burr, Holly N; Lipman, Neil S; White, Julie R; Zheng, Junting; Wolf, Felix R

2011-01-01

Athymic nude mice infected with Corynebacterium bovis typically exhibit transient hyperkeratotic dermatitis. Our vivarium experienced an increased incidence of disease characterized by persistent skin lesions and increased mortality, leading to this study. For detection of infection, skin and buccal swab methods showed comparable sensitivities in nude mice. Various prevention, treatment, and eradication strategies were evaluated through clinical assessment, microbiology, and histopathology. In experimentally naïve athymic nude mice, a 2-wk course of prophylactic amoxicillin-containing diet (1200 ppm amoxicillin; effective dose, 200 mg/kg) was ineffective at preventing infection or disease. There was also no significant difference in disease duration or severity in athymic nude mice that received amoxicillin diet or penicillin–streptomycin topical spray (penicillin, 2500 U/mL; streptomycin, 2500 µg/mL). Prolonged treatment with 4 or 8 wk of amoxicillin diet cleared only a small number of athymic nude mice that had subclinical C. bovis infections. Antibiotic sensitivity of C. bovis isolates demonstrated a small colony isolate with less susceptibility to all antibiotics compared with a large colony isolate. Resistance did not appear to develop after prolonged treatment with amoxicillin. Provocation testing by administration of cyclophosphamide (50 mg/kg IP every 48 to 72 h for 90 d) to subclinically infected athymic nude mice resulted in prolonged clinical disease that waxed and waned without progression to severe disease. Our findings suggest that antibiotic prophylaxis and treatment of clinical disease in experimentally naïve mice is unrewarding, eradication of bacterial infection is difficult, and severe disease associated with C. bovis is likely multifactorial. PMID:21640035
Degenerative spinal disease in large felids.

PubMed

Kolmstetter, C; Munson, L; Ramsay, E C

2000-03-01

Degenerative spinal disorders, including intervertebral disc disease and spondylosis, seldom occur in domestic cats. In contrast, a retrospective study of 13 lions (Panthera leo), 16 tigers (Panthera tigris), 4 leopards (Panthera pardis), 1 snow leopard (Panthera uncia), and 3 jaguars (Panthera onca) from the Knoxville Zoo that died or were euthanatized from 1976 to 1996 indicated that degenerative spinal disease is an important problem in large nondomestic felids. The medical record, radiographic data, and the necropsy report of each animal were examined for evidence of intervertebral disc disease or spondylosis. Eight (three lions, four tigers, and one leopard) animals were diagnosed with degenerative spinal disease. Clinical signs included progressively decreased activity, moderate to severe rear limb muscle atrophy, chronic intermittent rear limb paresis, and ataxia. The age at onset of clinical signs was 10-19 yr (median = 18 yr). Radiographic evaluation of the spinal column was useful in assessing the severity of spinal lesions, and results were correlated with necropsy findings. Lesions were frequently multifocal, included intervertebral disc mineralization or herniation with collapsed intervertebral disc spaces, and were most common in the lumbar area but also involved cervical and thoracic vertebrae. Marked spondylosis was present in the cats with intervertebral disc disease, presumably subsequent to vertebral instability. Six of the animals' spinal cords were examined histologically, and five had acute or chronic damage to the spinal cord secondary to disc protrusion. Spinal disease should be suspected in geriatric large felids with decreased appetite or activity. Radiographic evaluation of the spinal column is the most useful method to assess the type and severity of spinal lesions.
The study of the oipA and dupA genes in Helicobacter pylori strains and their relationship with different gastroduodenal diseases

PubMed Central

Souod, Negar; Sarshar, Meysam; Dabiri, Hossein; Momtaz, Hassan; Kargar, Mohammad; Mohammadzadeh, Alireza; Abdi, Saeed

2015-01-01

Aim: The purpose of this investigation was to determine the oipA and dupA genes of Helicobacter pylori isolates from west of Iran; Chaharmahalo Bakhtiyari region and find their relationship with the severity of the gastroduodenal diseases. Background: Helicobacter pylori is an organism responsible for many gastroduodenal diseases. Many studies suggest that genetic diversity in H. pylori virulence factors such as oipA and dupA genes is high among isolates of different geographic regions and may cause more severe diseases. Patients and methods: In this cross-sectional study, gastric biopsy specimens were taken from 150 patients suffering from gastroduodenal diseases. The presence of ureC, dupA and oipA genes was tested by polymerase chain reaction (PCR). Results: Overall, 123 (82%) H. pylori strains were isolated from 150 specimens. dupA gene was detected in 41 (33.33%) H.pylori-positive specimens. There was a reverse correlation between this gene and gastric cancer. The oipA gene was found in 88 (71.54%) samples and statistically there was no association between this gene and gastric disorders. As statistical analyses revealed, the presence of the dupA was more common in isolates with the oipA negative. Conclusion: Based on our findings, the presence of dupA gene can be considered as a marker for the onset of severe diseases. However, the oipA gene cannot be regarded for prediction of gastroenterology diseases. Meanwhile, extended molecular epidemiology researches in other populations are recommended. PMID:26171137
Quantification of Diaphragm Mechanics in Pompe Disease Using Dynamic 3D MRI

PubMed Central

Mogalle, Katja; Perez-Rovira, Adria; Ciet, Pierluigi; Wens, Stephan C. A.; van Doorn, Pieter A.; Tiddens, Harm A. W. M.; van der Ploeg, Ans T.; de Bruijne, Marleen

2016-01-01

Background Diaphragm weakness is the main reason for respiratory dysfunction in patients with Pompe disease, a progressive metabolic myopathy affecting respiratory and limb-girdle muscles. Since respiratory failure is the major cause of death among adult patients, early identification of respiratory muscle involvement is necessary to initiate treatment in time and possibly prevent irreversible damage. In this paper we investigate the suitability of dynamic MR imaging in combination with state-of-the-art image analysis methods to assess respiratory muscle weakness. Methods The proposed methodology relies on image registration and lung surface extraction to quantify lung kinematics during breathing. This allows for the extraction of geometry and motion features of the lung that characterize the independent contribution of the diaphragm and the thoracic muscles to the respiratory cycle. Results Results in 16 3D+t MRI scans (10 Pompe patients and 6 controls) of a slow expiratory maneuver show that kinematic analysis from dynamic 3D images reveals important additional information about diaphragm mechanics and respiratory muscle involvement when compared to conventional pulmonary function tests. Pompe patients with severely reduced pulmonary function showed severe diaphragm weakness presented by minimal motion of the diaphragm. In patients with moderately reduced pulmonary function, cranial displacement of posterior diaphragm parts was reduced and the diaphragm dome was oriented more horizontally at full inspiration compared to healthy controls. Conclusion Dynamic 3D MRI provides data for analyzing the contribution of both diaphragm and thoracic muscles independently. The proposed image analysis method has the potential to detect less severe diaphragm weakness and could thus be used to determine the optimal start of treatment in adult patients with Pompe disease in prospect of increased treatment response. PMID:27391236
Ultrasonographic, endoscopic and histological appearances of the caecum in cats presenting with chronic clinical signs of caecocolic disease.

PubMed

Hahn, Harriet; Pey, Pascaline; Baril, Aurélie; Charpentier, Julie; Desquilbet, Loic; Le Poder, Sophie; Château-Joubert, Sophie; Laloy, Eve; Freiche, Valerie

2017-02-01

Objectives This study aimed to describe the ultrasonographic, endoscopic and histological characteristics of the caecum and ileocaecocolic junction in cats suffering from chronic clinical signs compatible with caecocolic disease. Methods Cats presenting with clinical signs suggestive of a caecocolic disease were prospectively recruited. All cats underwent an ultrasonographic examination of the caecum, ileum, colon, ileocolic lymph nodes and local mesenteric fat, in addition to comprehensive abdominal ultrasonography. This was followed by a colonoscopy with a macroscopic assessment of the caecocolic mucosa; caecocolic tissue samples were systematically collected for histologic analysis. Results Eighteen cats were included. Eleven of 18 cats had ultrasonographic abnormalities adjacent to the ileocaecocolic junction (lymphadenopathy, local steatitis) and 13/18 cats had abnormalities directly related to the junction (wall thickening, loss of wall layering). Seventeen of 18 cats had at least one ultrasonographic abnormality. Endoscopically, hyperaemia, oedema, discoloration and/or erosions were found in all cats. Each cat was classified as having mild or moderate-to-severe lesions according to endoscopic results; no classification could be established statistically for ultrasonographic results. The accentuation of the dimpled pattern tended to be inversely related to the severity of endoscopic lesion scoring. Histologically, a large proportion of cats showed typhlitis (13/16), one had lymphoma and two were normal. All cats with typhlitis also had colitis. There was only slight agreement between endoscopic and histological caecal results regarding the severity of lesions. Loss of caecal wall layering on ultrasound was found in 7/18 cats and, surprisingly, did not appear as a reliable predictor of the severity of inflammation or of malignancy; neither did local steatitis nor lymph node size. Conclusions and relevance Ultrasonography and endoscopy should not be used as the sole methods to investigate the ileocaecocolic region in cats with clinical signs suggestive of caecocolic disease. The presence of chronic clinical signs should routinely prompt histological biopsy.
ICD-9-CM and ICD-10-CM mapping of the AAST Emergency General Surgery disease severity grading systems: Conceptual approach, limitations, and recommendations for the future.

PubMed

Utter, Garth H; Miller, Preston R; Mowery, Nathan T; Tominaga, Gail T; Gunter, Oliver; Osler, Turner M; Ciesla, David J; Agarwal, Suresh K; Inaba, Kenji; Aboutanos, Michel B; Brown, Carlos V R; Ross, Steven E; Crandall, Marie L; Shafi, Shahid

2015-05-01

The American Association for the Surgery of Trauma (AAST) recently established a grading system for uniform reporting of anatomic severity of several emergency general surgery (EGS) diseases. There are five grades of severity for each disease, ranging from I (lowest severity) to V (highest severity). However, the grading process requires manual chart review. We sought to evaluate whether International Classification of Diseases, 9th and 10th Revisions, Clinical Modification (ICD-9-CM, ICD-10-CM) codes might allow estimation of AAST grades for EGS diseases. The Patient Assessment and Outcomes Committee of the AAST reviewed all available ICD-9-CM and ICD-10-CM diagnosis codes relevant to 16 EGS diseases with available AAST grades. We then matched grades for each EGS disease with one or more ICD codes. We used the Official Coding Guidelines for ICD-9-CM and ICD-10-CM and the American Hospital Association's "Coding Clinic for ICD-9-CM" for coding guidance. The ICD codes did not allow for matching all five AAST grades of severity for each of the 16 diseases. With ICD-9-CM, six diseases mapped into four categories of severity (instead of five), another six diseases into three categories of severity, and four diseases into only two categories of severity. With ICD-10-CM, five diseases mapped into four categories of severity, seven diseases into three categories, and four diseases into two categories. Two diseases mapped into discontinuous categories of grades (two in ICD-9-CM and one in ICD-10-CM). Although resolution is limited, ICD-9-CM and ICD-10-CM diagnosis codes might have some utility in roughly approximating the severity of the AAST grades in the absence of more precise information. These ICD mappings should be validated and refined before widespread use to characterize EGS disease severity. In the long-term, it may be desirable to develop alternatives to ICD-9-CM and ICD-10-CM codes for routine collection of disease severity characteristics.
Body mass index and the rheumatoid arthritis swollen joint count: an observational study

PubMed Central

Caplan, Liron; Davis, Lisa A.; Bright, Christina M.; Kerr, Gail S.; Lazaro, Deana M.; Khan, Nasim A.; Richards, J. Steuart; Johnson, Dannette S.; Cannon, Grant W.; Reimold, Andreas M.; Mikuls, Ted R.

2012-01-01

Objective Obesity is a prevalent condition and a serious health concern. The relationship between obesity and RA disease activity and severity has not been adequately examined, and there are concerns that periarticular adipose tissue may reduce the utility of the joint examination. Methods We used a cross-sectional study to compare the performance of swollen joint count (SJC) in subjects with rheumatoid arthritis (RA) across body mass index (BMI) strata. Specifically, regression techniques tested for associations of SJC and seven RA disease activity/severity measures (including high sensitivity c-reactive protein, radiographic changes, and multi-dimensional health assessment questionnaire scores) within BMI quartiles. We also evaluated the association of BMI with radiographic evidence of RA in multivariate analyses and the association of BMI with SJC. Clinical and laboratory data from 980 Veterans Affairs Rheumatoid Arthritis (VARA) registry participants were analyzed using linear and logistic regression. Results Associations were evident between SJC and six of the seven examined RA disease activity/severity measures. SJC predicts RA disease activity/severity at least as well in more obese subjects as in subjects with lower BMIs, and there was a trend towards better performance in higher BMI individuals. Subjects with higher BMIs were marginally less likely to be characterized by radiographic changes (O.R. 0.98, p=0.051). We found no association between BMI and SJC. Conclusions BMI does not obscure the relationship of SJC and objective disease activity measures. There is a borderline association of higher BMI and likelihood of radiographic changes characteristic of RA after controlling for clinical characteristics. PMID:22623288
Distinct patterns of brain activity evoked by histamine-induced itch reveal an association with itch intensity and disease severity in atopic dermatitis

PubMed Central

Ishiuji, Y.; Coghill, R.C.; Patel, T.S.; Oshiro, Y.; Kraft, R.A.; Yosipovitch, G.

2009-01-01

Summary Background Little is known about brain mechanisms supporting the experience of chronic puritus in disease states. Objectives To examine the difference in brain processing of histamine-induced itch in patients with active atopic dermatitis (AD) vs. healthy controls with the emerging technique of functional magnetic resonance imaging (fMRI) using arterial spin labelling (ASL). Methods Itch was induced with histamine iontophoresis in eight patients with AD and seven healthy subjects. Results We found significant differences in brain processing of histamine-induced itch between patients with AD and healthy subjects. Patients with AD exhibited bilateral activation of the anterior cingulate cortex (ACC), posterior cingulate cortex (PCC), retrosplenial cingulate cortex and dorsolateral prefrontal cortex (DLPFC) as well as contralateral activation of the caudate nucleus and putamen. In contrast, healthy subjects activated the primary motor cortex, primary somatosensory cortex and superior parietal lobe. The PCC and precuneus exhibited significantly greater activity in patients vs. healthy subjects. A significant correlation between percentage changes of brain activation was noted in the activation of the ACC and contralateral insula and histamine-induced itch intensity as well as disease severity in patients with AD. In addition, an association was noted between DLPFC activity and disease severity. Conclusions Our results demonstrate that ASL fMRI is a promising technique to assess brain activity in chronic itch. Brain activity of acute itch in AD seems to differ from that in healthy subjects. Moreover, the activity in cortical areas involved in affect and emotion correlated to measures of disease severity. PMID:19663870
Visual Analysis for Detection and Quantification of Pseudomonas cichorii Disease Severity in Tomato Plants.

PubMed

Rajendran, Dhinesh Kumar; Park, Eunsoo; Nagendran, Rajalingam; Hung, Nguyen Bao; Cho, Byoung-Kwan; Kim, Kyung-Hwan; Lee, Yong Hoon

2016-08-01

Pathogen infection in plants induces complex responses ranging from gene expression to metabolic processes in infected plants. In spite of many studies on biotic stress-related changes in host plants, little is known about the metabolic and phenotypic responses of the host plants to Pseudomonas cichorii infection based on image-based analysis. To investigate alterations in tomato plants according to disease severity, we inoculated plants with different cell densities of P. cichorii using dipping and syringe infiltration methods. High-dose inocula (≥ 10(6) cfu/ml) induced evident necrotic lesions within one day that corresponded to bacterial growth in the infected tissues. Among the chlorophyll fluorescence parameters analyzed, changes in quantum yield of PSII (ΦPSII) and non-photochemical quenching (NPQ) preceded the appearance of visible symptoms, but maximum quantum efficiency of PSII (Fv/Fm) was altered well after symptom development. Visible/near infrared and chlorophyll fluorescence hyperspectral images detected changes before symptom appearance at low-density inoculation. The results of this study indicate that the P. cichorii infection severity can be detected by chlorophyll fluorescence assay and hyperspectral images prior to the onset of visible symptoms, indicating the feasibility of early detection of diseases. However, to detect disease development by hyperspectral imaging, more detailed protocols and analyses are necessary. Taken together, change in chlorophyll fluorescence is a good parameter for early detection of P. cichorii infection in tomato plants. In addition, image-based visualization of infection severity before visual damage appearance will contribute to effective management of plant diseases.
Multimodal pain stimulation of the gastrointestinal tract

PubMed Central

Drewes, Asbjørn Mohr; Gregersen, Hans

2006-01-01

Understanding and characterization of pain and other sensory symptoms are among the most important issues in the diagnosis and assessment of patient with gastrointestinal disorders. Methods to evoke and assess experimental pain have recently developed into a new area with the possibility for multimodal stimulation (e.g., electrical, mechanical, thermal and chemical stimulation) of different nerves and pain pathways in the human gut. Such methods mimic to a high degree the pain experienced in the clinic. Multimodal pain methods have increased our basic understanding of different peripheral receptors in the gut in health and disease. Together with advanced muscle analysis, the methods have increased our understanding of receptors sensitive to mechanical, chemical and temperature stimuli in diseases, such as systemic sclerosis and diabetes. The methods can also be used to unravel central pain mechanisms, such as those involved in allodynia, hyperalgesia and referred pain. Abnormalities in central pain mechanisms are often seen in patients with chronic gut pain and hence methods relying on multimodal pain stimulation may help to understand the symptoms in these patients. Sex differences have been observed in several diseases of the gut, and differences in central pain processing between males and females have been hypothesized using multimodal pain stimulations. Finally, multimodal methods have recently been used to gain more insight into the effect of drugs against pain in the GI tract. Hence, the multimodal methods undoubtedly represents a major step forward in the future characterization and treatment of patients with various diseases of the gut. PMID:16688791
Analytic strategies to evaluate the association of time-varying exposures to HIV-related outcomes: Alcohol consumption as an example.

PubMed

Cook, Robert L; Kelso, Natalie E; Brumback, Babette A; Chen, Xinguang

2016-01-01

As persons with HIV are living longer, there is a growing need to investigate factors associated with chronic disease, rate of disease progression and survivorship. Many risk factors for this high-risk population change over time, such as participation in treatment, alcohol consumption and drug abuse. Longitudinal datasets are increasingly available, particularly clinical data that contain multiple observations of health exposures and outcomes over time. Several analytic options are available for assessment of longitudinal data; however, it can be challenging to choose the appropriate analytic method for specific combinations of research questions and types of data. The purpose of this review is to help researchers choose the appropriate methods to analyze longitudinal data, using alcohol consumption as an example of a time-varying exposure variable. When selecting the optimal analytic method, one must consider aspects of exposure (e.g. timing, pattern, and amount) and outcome (fixed or time-varying), while also addressing minimizing bias. In this article, we will describe several analytic approaches for longitudinal data, including developmental trajectory analysis, generalized estimating equations, and mixed effect models. For each analytic strategy, we describe appropriate situations to use the method and provide an example that demonstrates the use of the method. Clinical data related to alcohol consumption and HIV are used to illustrate these methods.
Pitfalls in the detection of cholesterol in Huntington's disease models.

PubMed

Marullo, Manuela; Valenza, Marta; Leoni, Valerio; Caccia, Claudio; Scarlatti, Chiara; De Mario, Agnese; Zuccato, Chiara; Di Donato, Stefano; Carafoli, Ernesto; Cattaneo, Elena

2012-10-11

Background Abnormalities in brain cholesterol homeostasis have been reported in Huntington's disease (HD), an adult-onset neurodegenerative disorder caused by an expansion in the number of CAG repeats in the huntingtin (HTT) gene. However, the results have been contradictory with respect to whether cholesterol levels increase or decrease in HD models. Biochemical and mass spectrometry methods show reduced levels of cholesterol precursors and cholesterol in HD cells and in the brains of several HD animal models. Abnormal brain cholesterol homeostasis was also inferred from studies in HD patients. In contrast, colorimetric and enzymatic methods indicate cholesterol accumulation in HD cells and tissues. Here we used several methods to investigate cholesterol levels in cultured cells in the presence or absence of mutant HTT protein. Results Colorimetric and enzymatic methods with low sensitivity gave variable results, whereas results from a sensitive analytical method, gas chromatography-mass spectrometry, were more reliable. Sample preparation, high cell density and cell clonality also influenced the detection of intracellular cholesterol. Conclusions Detection of cholesterol in HD samples by colorimetric and enzymatic assays should be supplemented by detection using more sensitive analytical methods. Care must be taken to prepare the sample appropriately. By evaluating lathosterol levels using isotopic dilution mass spectrometry, we confirmed reduced cholesterol biosynthesis in knock-in cells expressing the polyQ mutation in a constitutive or inducible manner. *Correspondence should be addressed to Elena Cattaneo: elena.cattaneo@unimi.it.
Family History of Peripheral Artery Disease is associated with Prevalence and Severity of Peripheral Artery Disease: The San Diego Population Study (SDPS)

PubMed Central

Wassel, Christina L.; Loomba, Rohit; Ix, Joachim H.; Allison, Matthew A.; Denenberg, Julie O.; Criqui, Michael H.

2011-01-01

Objective To determine the association of family history of peripheral artery disease (PAD) with PAD prevalence and severity. Background PAD is a significant public health problem. Shared genetic and environmental factors may play an important role in the development of PAD. However, family history of PAD has not been adequately investigated. Methods The San Diego Population Study (SDPS) enrolled 2404 ethnically diverse men and women aged 29–91 who attended a baseline visit from 1994–98 to assess PAD and venous disease. Ankle brachial index (ABI) measurement was performed at the baseline clinic examination and family history of PAD was obtained via questionnaire. Family history of PAD was primarily defined as having any 1st degree relative with PAD. Prevalent PAD was defined as ABI ≤ 0.90 and severe prevalent PAD as ABI ≤ 0.70, with both definitions also including any previous leg revascularization. Logistic regression was used to evaluate the association of family history of PAD with prevalent PAD. Results The mean (SD) age was 59 (11) years, 66% were women, and 58% were Caucasian with 42% comprising other racial/ethnic groups. Prevalence of PAD was 3.6%, and severe prevalent PAD was 1.9%. In fully adjusted models, family history of PAD was associated with a 1.83-fold higher odds of PAD (95% CI (1.03, 3.26), p=0.04), an association which was stronger for severe prevalent PAD (OR 2.42, 95% CI (1.13, 5.23), p=0.02). Conclusions Family history of PAD is independently strongly associated with PAD prevalence and severity. This indicates a role for genetic factors and/or other shared environmental factors contributing to PAD. PMID:21920269
Risk factors for the development of severe typhoid fever in Vietnam

PubMed Central

2014-01-01

Background Typhoid fever is a systemic infection caused by the bacterium Salmonella enterica serovar Typhi. Age, sex, prolonged duration of illness, and infection with an antimicrobial resistant organism have been proposed risk factors for the development of severe disease or fatality in typhoid fever. Methods We analysed clinical data from 581 patients consecutively admitted with culture confirmed typhoid fever to two hospitals in Vietnam during two periods in 1993–1995 and 1997–1999. These periods spanned a change in the antimicrobial resistance phenotypes of the infecting organisms i.e. fully susceptible to standard antimicrobials, resistance to chloramphenicol, ampicillin and trimethoprim-sulphamethoxazole (multidrug resistant, MDR), and intermediate susceptibility to ciprofloxacin (nalidixic acid resistant). Age, sex, duration of illness prior to admission, hospital location and the presence of MDR or intermediate ciprofloxacin susceptibility in the infecting organism were examined by logistic regression analysis to identify factors independently associated with severe typhoid at the time of hospital admission. Results The prevalence of severe typhoid was 15.5% (90/581) and included: gastrointestinal bleeding (43; 7.4%); hepatitis (29; 5.0%); encephalopathy (16; 2.8%); myocarditis (12; 2.1%); intestinal perforation (6; 1.0%); haemodynamic shock (5; 0.9%), and death (3; 0.5%). Severe disease was more common with increasing age, in those with a longer duration of illness and in patients infected with an organism exhibiting intermediate susceptibility to ciprofloxacin. Notably an MDR phenotype was not associated with severe disease. Severe disease was independently associated with infection with an organism with an intermediate susceptibility to ciprofloxacin (AOR 1.90; 95% CI 1.18-3.07; p = 0.009) and male sex (AOR 1.61 (1.00-2.57; p = 0.035). Conclusions In this group of patients hospitalised with typhoid fever infection with an organism with intermediate susceptibility to ciprofloxacin was independently associated with disease severity. During this period many patients were being treated with fluoroquinolones prior to hospital admission. Ciprofloxacin and ofloxacin should be used with caution in patients infected with S. Typhi that have intermediate susceptibility to ciprofloxacin. PMID:24512443
Incidence and admission rates for severe malaria and their impact on mortality in Africa.

PubMed

Camponovo, Flavia; Bever, Caitlin A; Galactionova, Katya; Smith, Thomas; Penny, Melissa A

2017-01-03

Appropriate treatment of life-threatening Plasmodium falciparum malaria requires in-patient care. Although the proportion of severe cases accessing in-patient care in endemic settings strongly affects overall case fatality rates and thus disease burden, this proportion is generally unknown. At present, estimates of malaria mortality are driven by prevalence or overall clinical incidence data, ignoring differences in case fatality resulting from variations in access. Consequently, the overall impact of preventive interventions on disease burden have not been validly compared with those of improvements in access to case management or its quality. Using a simulation-based approach, severe malaria admission rates and the subsequent severe malaria disease and mortality rates for 41 malaria endemic countries of sub-Saharan Africa were estimated. Country differences in transmission and health care settings were captured by use of high spatial resolution data on demographics and falciparum malaria prevalence, as well as national level estimates of effective coverage of treatment for uncomplicated malaria. Reported and modelled estimates of cases, admissions and malaria deaths from the World Malaria Report, along with predicted burden from simulations, were combined to provide revised estimates of access to in-patient care and case fatality rates. There is substantial variation between countries' in-patient admission rates and estimated levels of case fatality rates. It was found that for many African countries, most patients admitted for in-patient treatment would not meet strict criteria for severe disease and that for some countries only a small proportion of the total severe cases are admitted. Estimates are highly sensitive to the assumed community case fatality rates. Re-estimation of national level malaria mortality rates suggests that there is substantial burden attributable to inefficient in-patient access and treatment of severe disease. The model-based methods proposed here offer a standardized approach to estimate the numbers of severe malaria cases and deaths based on national level reporting, allowing for coverage of both curative and preventive interventions. This makes possible direct comparisons of the potential benefits of scaling-up either category of interventions. The profound uncertainties around these estimates highlight the need for better data.
Modeling Disease Severity in Multiple Sclerosis Using Electronic Health Records

PubMed Central

Xia, Zongqi; Secor, Elizabeth; Chibnik, Lori B.; Bove, Riley M.; Cheng, Suchun; Chitnis, Tanuja; Cagan, Andrew; Gainer, Vivian S.; Chen, Pei J.; Liao, Katherine P.; Shaw, Stanley Y.; Ananthakrishnan, Ashwin N.; Szolovits, Peter; Weiner, Howard L.; Karlson, Elizabeth W.; Murphy, Shawn N.; Savova, Guergana K.; Cai, Tianxi; Churchill, Susanne E.; Plenge, Robert M.; Kohane, Isaac S.; De Jager, Philip L.

2013-01-01

Objective To optimally leverage the scalability and unique features of the electronic health records (EHR) for research that would ultimately improve patient care, we need to accurately identify patients and extract clinically meaningful measures. Using multiple sclerosis (MS) as a proof of principle, we showcased how to leverage routinely collected EHR data to identify patients with a complex neurological disorder and derive an important surrogate measure of disease severity heretofore only available in research settings. Methods In a cross-sectional observational study, 5,495 MS patients were identified from the EHR systems of two major referral hospitals using an algorithm that includes codified and narrative information extracted using natural language processing. In the subset of patients who receive neurological care at a MS Center where disease measures have been collected, we used routinely collected EHR data to extract two aggregate indicators of MS severity of clinical relevance multiple sclerosis severity score (MSSS) and brain parenchymal fraction (BPF, a measure of whole brain volume). Results The EHR algorithm that identifies MS patients has an area under the curve of 0.958, 83% sensitivity, 92% positive predictive value, and 89% negative predictive value when a 95% specificity threshold is used. The correlation between EHR-derived and true MSSS has a mean R2 = 0.38±0.05, and that between EHR-derived and true BPF has a mean R2 = 0.22±0.08. To illustrate its clinical relevance, derived MSSS captures the expected difference in disease severity between relapsing-remitting and progressive MS patients after adjusting for sex, age of symptom onset and disease duration (p = 1.56×10−12). Conclusion Incorporation of sophisticated codified and narrative EHR data accurately identifies MS patients and provides estimation of a well-accepted indicator of MS severity that is widely used in research settings but not part of the routine medical records. Similar approaches could be applied to other complex neurological disorders. PMID:24244385
Development and Validation of a Symptom-Based Activity Index for Adults with Eosinophilic Esophagitis

PubMed Central

Schoepfer, Alain M.; Straumann, Alex; Panczak, Radoslaw; Coslovsky, Michael; Kuehni, Claudia E.; Maurer, Elisabeth; Haas, Nadine A.; Romero, Yvonne; Hirano, Ikuo; Alexander, Jeffrey A.; Gonsalves, Nirmala; Furuta, Glenn T.; Dellon, Evan S.; Leung, John; Collins, Margaret H.; Bussmann, Christian; Netzer, Peter; Gupta, Sandeep K.; Aceves, Seema S.; Chehade, Mirna; Moawad, Fouad J.; Enders, Felicity T.; Yost, Kathleen J.; Taft, Tiffany H.; Kern, Emily; Zwahlen, Marcel; Safroneeva, Ekaterina

2015-01-01

BACKGROUND & AIMS Standardized instruments are needed to assess the activity of eosinophilic esophagitis (EoE), to provide endpoints for clinical trials and observational studies. We aimed to develop and validate a patient-reported outcome (PRO) instrument and score, based on items that could account for variations in patients’ assessments of disease severity. We also evaluated relationships between patients’ assessment of disease severity and EoE-associated endoscopic, histologic, and laboratory findings. METHODS We collected information from 186 patients with EoE in Switzerland and the US (69.4% male; median age, 43 years) via surveys (n = 135), focus groups (n = 27), and semi-structured interviews (n = 24). Items were generated for the instruments to assess biologic activity based on physician input. Linear regression was used to quantify the extent to which variations in patient-reported disease characteristics could account for variations in patients’ assessment of EoE severity. The PRO instrument was prospectively used in 153 adult patients with EoE (72.5% male; median age, 38 years), and validated in an independent group of 120 patients with EoE (60.8% male; median age, 40.5 years). RESULTS Seven PRO factors that are used to assess characteristics of dysphagia, behavioral adaptations to living with dysphagia, and pain while swallowing accounted for 67% of the variation in patients’ assessment of disease severity. Based on statistical consideration and patient input, a 7-day recall period was selected. Highly active EoE, based on endoscopic and histologic findings, was associated with an increase in patient-assessed disease severity. In the validation study, the mean difference between patient assessment of EoE severity and PRO score was 0.13 (on a scale from 0 to 10). CONCLUSIONS We developed and validated an EoE scoring system based on 7 PRO items that assesses symptoms over a 7-day recall period. Clinicaltrials.gov number: NCT00939263. PMID:25160980
An extensive analysis of disease-gene associations using network integration and fast kernel-based gene prioritization methods.

PubMed

Valentini, Giorgio; Paccanaro, Alberto; Caniza, Horacio; Romero, Alfonso E; Re, Matteo

2014-06-01

In the context of "network medicine", gene prioritization methods represent one of the main tools to discover candidate disease genes by exploiting the large amount of data covering different types of functional relationships between genes. Several works proposed to integrate multiple sources of data to improve disease gene prioritization, but to our knowledge no systematic studies focused on the quantitative evaluation of the impact of network integration on gene prioritization. In this paper, we aim at providing an extensive analysis of gene-disease associations not limited to genetic disorders, and a systematic comparison of different network integration methods for gene prioritization. We collected nine different functional networks representing different functional relationships between genes, and we combined them through both unweighted and weighted network integration methods. We then prioritized genes with respect to each of the considered 708 medical subject headings (MeSH) diseases by applying classical guilt-by-association, random walk and random walk with restart algorithms, and the recently proposed kernelized score functions. The results obtained with classical random walk algorithms and the best single network achieved an average area under the curve (AUC) across the 708 MeSH diseases of about 0.82, while kernelized score functions and network integration boosted the average AUC to about 0.89. Weighted integration, by exploiting the different "informativeness" embedded in different functional networks, outperforms unweighted integration at 0.01 significance level, according to the Wilcoxon signed rank sum test. For each MeSH disease we provide the top-ranked unannotated candidate genes, available for further bio-medical investigation. Network integration is necessary to boost the performances of gene prioritization methods. Moreover the methods based on kernelized score functions can further enhance disease gene ranking results, by adopting both local and global learning strategies, able to exploit the overall topology of the network. Copyright © 2014 The Authors. Published by Elsevier B.V. All rights reserved.
Serum Metabolomic Profiling in Acute Alcoholic Hepatitis Identifies Multiple Dysregulated Pathways

PubMed Central

Rachakonda, Vikrant; Gabbert, Charles; Raina, Amit; Bell, Lauren N.; Cooper, Sara; Malik, Shahid; Behari, Jaideep

2014-01-01

Background and Objectives While animal studies have implicated derangements of global energy homeostasis in the pathogenesis of acute alcoholic hepatitis (AAH), the relevance of these findings to the development of human AAH remains unclear. Using global, unbiased serum metabolomics analysis, we sought to characterize alterations in metabolic pathways associated with severe AAH and identify potential biomarkers for disease prognosis. Methods This prospective, case-control study design included 25 patients with severe AAH and 25 ambulatory patients with alcoholic cirrhosis. Serum samples were collected within 24 hours of the index clinical encounter. Global, unbiased metabolomics profiling was performed. Patients were followed for 180 days after enrollment to determine survival. Results Levels of 234 biochemicals were altered in subjects with severe AAH. Random-forest analysis, principal component analysis, and integrated hierarchical clustering methods demonstrated that metabolomics profiles separated the two cohorts with 100% accuracy. Severe AAH was associated with enhanced triglyceride lipolysis, impaired mitochondrial fatty acid beta oxidation, and upregulated omega oxidation. Low levels of multiple lysolipids and related metabolites suggested decreased plasma membrane remodeling in severe AAH. While most measured bile acids were increased in severe AAH, low deoxycholate and glycodeoxycholate levels indicated intestinal dysbiosis. Several changes in substrate utilization for energy homeostasis were identified in severe AAH, including increased glucose consumption by the pentose phosphate pathway, altered tricarboxylic acid (TCA) cycle activity, and enhanced peptide catabolism. Finally, altered levels of small molecules related to glutathione metabolism and antioxidant vitamin depletion were observed in patients with severe AAH. Univariable logistic regression revealed 15 metabolites associated with 180-day survival in severe AAH. Conclusion Severe AAH is characterized by a distinct metabolic phenotype spanning multiple pathways. Metabolomics profiling revealed a panel of biomarkers for disease prognosis, and future studies are planned to validate these findings in larger cohorts of patients with severe AAH. PMID:25461442
Review of diagnostic and therapeutic endoscopic retrograde cholangiopancreatography using several endoscopic methods in patients with surgically altered gastrointestinal anatomy

PubMed Central

Shimatani, Masaaki; Takaoka, Makoto; Tokuhara, Mitsuo; Miyoshi, Hideaki; Ikeura, Tsukasa; Okazaki, Kazuichi

2015-01-01

The endoscopic approach for biliary diseases in patients with surgically altered gastrointestinal anatomy (SAGA) had been generally deemed impractical. However, it was radically made feasible by the introduction of double balloon endoscopy (DBE) that was originally developed for diagnosis and treatments for small-bowel diseases. Followed by the subsequent development of single-balloon endoscopy (SBE) and spiral endoscopy (SE), interventions using several endoscopes for biliary disease in patients with SAGA widely gained an acceptance as a new modality. Many studies have been made on this new technique. Yet, some problems are to be solved. For instance, the mutual unavailability among devices due to different working lengths and channels, and unestablished standardization of procedural techniques can be raised. Additionally, in an attempt to standardize endoscopic procedures, it is important to evaluate biliary cannulating methods by case with existence of papilla or not. A full comprehension of the features of respective scope types is also required. However there are not many papers written as a review. In our manuscript, we would like to evaluate and make a review of the present status of diagnostic and therapeutic endoscopic retrograde cholangiopancreatography applying DBE, SBE and SE for biliary diseases in patients with SAGA for establishment of these modalities as a new technology and further improvement of the scopes and devices. PMID:26078830

Nonalcoholic fatty liver disease - A multisystem disease?

PubMed Central

Mikolasevic, Ivana; Milic, Sandra; Turk Wensveen, Tamara; Grgic, Ivana; Jakopcic, Ivan; Stimac, Davor; Wensveen, Felix; Orlic, Lidija

2016-01-01

Non-alcoholic fatty liver disease (NAFLD) is one of the most common comorbidities associated with overweight and metabolic syndrome (MetS). Importantly, NAFLD is one of its most dangerous complications because it can lead to severe liver pathologies, including fibrosis, cirrhosis and hepatic cellular carcinoma. Given the increasing worldwide prevalence of obesity, NAFLD has become the most common cause of chronic liver disease and therefore is a major global health problem. Currently, NAFLD is predominantly regarded as a hepatic manifestation of MetS. However, accumulating evidence indicates that the effects of NAFLD extend beyond the liver and are negatively associated with a range of chronic diseases, most notably cardiovascular disease (CVD), diabetes mellitus type 2 (T2DM) and chronic kidney disease (CKD). It is becoming increasingly clear that these diseases are the result of the same underlying pathophysiological processes associated with MetS, such as insulin resistance, chronic systemic inflammation and dyslipidemia. As a result, they have been shown to be independent reciprocal risk factors. In addition, recent data have shown that NAFLD actively contributes to aggravation of the pathophysiology of CVD, T2DM, and CKD, as well as several other pathologies. Thus, NAFLD is a direct cause of many chronic diseases associated with MetS, and better detection and treatment of fatty liver disease is therefore urgently needed. As non-invasive screening methods for liver disease become increasingly available, detection and treatment of NAFLD in patients with MetS should therefore be considered by both (sub-) specialists and primary care physicians. PMID:27920470
Improving inflammatory arthritis management through tighter monitoring of patients and the use of innovative electronic tools

PubMed Central

van Riel, Piet; Combe, Bernard; Abdulganieva, Diana; Bousquet, Paola; Courtenay, Molly; Curiale, Cinzia; Gómez-Centeno, Antonio; Haugeberg, Glenn; Leeb, Burkhard; Puolakka, Kari; Ravelli, Angelo; Rintelen, Bernhard; Sarzi-Puttini, Piercarlo

2016-01-01

Treating to target by monitoring disease activity and adjusting therapy to attain remission or low disease activity has been shown to lead to improved outcomes in chronic rheumatic diseases such as rheumatoid arthritis and spondyloarthritis. Patient-reported outcomes, used in conjunction with clinical measures, add an important perspective of disease activity as perceived by the patient. Several validated PROs are available for inflammatory arthritis, and advances in electronic patient monitoring tools are helping patients with chronic diseases to self-monitor and assess their symptoms and health. Frequent patient monitoring could potentially lead to the early identification of disease flares or adverse events, early intervention for patients who may require treatment adaptation, and possibly reduced appointment frequency for those with stable disease. A literature search was conducted to evaluate the potential role of patient self-monitoring and innovative monitoring of tools in optimising disease control in inflammatory arthritis. Experience from the treatment of congestive heart failure, diabetes and hypertension shows improved outcomes with remote electronic self-monitoring by patients. In inflammatory arthritis, electronic self-monitoring has been shown to be feasible in patients despite manual disability and to be acceptable to older patients. Patients' self-assessment of disease activity using such methods correlates well with disease activity assessed by rheumatologists. This review also describes several remote monitoring tools that are being developed and used in inflammatory arthritis, offering the potential to improve disease management and reduce pressure on specialists. PMID:27933206
Toxoplasmosis – A Global Threat. Correlation of Latent Toxoplasmosis with Specific Disease Burden in a Set of 88 Countries

PubMed Central

Flegr, Jaroslav; Prandota, Joseph; Sovičková, Michaela; Israili, Zafar H.

2014-01-01

Background Toxoplasmosis is becoming a global health hazard as it infects 30–50% of the world human population. Clinically, the life-long presence of the parasite in tissues of a majority of infected individuals is usually considered asymptomatic. However, a number of studies show that this ‘asymptomatic infection’ may also lead to development of other human pathologies. Aims of the Study The purpose of the study was to collect available geoepidemiological data on seroprevalence of toxoplasmosis and search for its relationship with mortality and disability rates in different countries. Methods and Findings Prevalence data published between 1995–2008 for women in child-bearing age were collected for 88 countries (29 European). The association between prevalence of toxoplasmosis and specific disease burden estimated with age-standardized Disability Adjusted Life Year (DALY) or with mortality, was calculated using General Linear Method with Gross Domestic Product per capita (GDP), geolatitude and humidity as covariates, and also using nonparametric partial Kendall correlation test with GDP as a covariate. The prevalence of toxoplasmosis correlated with specific disease burden in particular countries explaining 23% of variability in disease burden in Europe. The analyses revealed that for example, DALY of 23 of 128 analyzed diseases and disease categories on the WHO list showed correlations (18 positive, 5 negative) with prevalence of toxoplasmosis and another 12 diseases showed positive trends (p<0.1). For several obtained significant correlations between the seroprevalence of toxoplasmosis and specific diseases/clinical entities, possible pathophysiological, biochemical and molecular explanations are presented. Conclusions The seroprevalence of toxoplasmosis correlated with various disease burden. Statistical associations does not necessarily mean causality. The precautionary principle suggests however that possible role of toxoplasmosis as a triggering factor responsible for development of several clinical entities deserves much more attention and financial support both in everyday medical practice and future clinical research. PMID:24662942
Validity of using ad hoc methods to analyze secondary traits in case-control association studies.

PubMed

Yung, Godwin; Lin, Xihong

2016-12-01

Case-control association studies often collect from their subjects information on secondary phenotypes. Reusing the data and studying the association between genes and secondary phenotypes provide an attractive and cost-effective approach that can lead to discovery of new genetic associations. A number of approaches have been proposed, including simple and computationally efficient ad hoc methods that ignore ascertainment or stratify on case-control status. Justification for these approaches relies on the assumption of no covariates and the correct specification of the primary disease model as a logistic model. Both might not be true in practice, for example, in the presence of population stratification or the primary disease model following a probit model. In this paper, we investigate the validity of ad hoc methods in the presence of covariates and possible disease model misspecification. We show that in taking an ad hoc approach, it may be desirable to include covariates that affect the primary disease in the secondary phenotype model, even though these covariates are not necessarily associated with the secondary phenotype. We also show that when the disease is rare, ad hoc methods can lead to severely biased estimation and inference if the true disease model follows a probit model instead of a logistic model. Our results are justified theoretically and via simulations. Applied to real data analysis of genetic associations with cigarette smoking, ad hoc methods collectively identified as highly significant (P<10-5) single nucleotide polymorphisms from over 10 genes, genes that were identified in previous studies of smoking cessation. © 2016 WILEY PERIODICALS, INC.
Fetal growth and risk of childhood asthma and allergic disease

PubMed Central

Tedner, S G; Örtqvist, A K; Almqvist, C

2012-01-01

Introduction Early genetic and environmental factors have been discussed as potential causes for the high prevalence of asthma and allergic disease in the western world, and knowledge on fetal growth and its consequence on future health and disease development is emerging. Objective This review article is an attempt to summarize research on fetal growth and risk of asthma and allergic disease. Current knowledge and novel findings will be reviewed and open research questions identified, to give basic scientists, immunologists and clinicians an overview of an emerging research field. Methods PubMed-search on pre-defined terms and cross-references. Results Several studies have shown a correlation between low birth weight and/or gestational age and asthma and high birth weight and/or gestational age and atopy. The exact mechanism is not yet clear but both environmental and genetic factors seem to contribute to fetal growth. Some of these factors are confounders that can be adjusted for, and twin studies have been very helpful in this context. Suggested mechanisms behind fetal growth are often linked to the feto-maternal circulation, including the development of placenta and umbilical cord. However, the causal link between fetal growth restriction and subsequent asthma and allergic disease remains unexplained. New research regarding the catch-up growth following growth restriction has posited an alternative theory that diseases later on in life result from rapid catch-up growth rather than intrauterine growth restriction per se. Several studies have found a correlation between a rapid weight gain after birth and development of asthma or wheezing in childhood. Conclusion and clinical relevance Asthma and allergic disease are multifactorial. Several mechanisms seem to influence their development. Additional studies are needed before we fully understand the causal links between fetal growth and development of asthma and allergic diseases. PMID:22994341
Cross-disease Meta-analysis of Genome-wide Association Studies for Systemic Sclerosis and Rheumatoid Arthritis Reveals IRF4 as a New Common Susceptibility Locus

PubMed Central

López-Isac, Elena; Martín, Jose-Ezequiel; Assassi, Shervin; Simeón, Carmen P; Carreira, Patricia; Ortego-Centeno, Norberto; Freire, Mayka; Beltrán, Emma; Narváez, Javier; Alegre-Sancho, Juan J; Fernández-Gutiérrez, Benjamín; Balsa, Alejandro; Ortiz, Ana M; González-Gay, Miguel A; Beretta, Lorenzo; Santaniello, Alessandro; Bellocchi, Chiara; Lunardi, Claudio; Moroncini, Gianluca; Gabrielli, Armando; Witte, Torsten; Hunzelmann, Nicolas; Distler, Jörg HW; Riekemasten, Gabriella; van der Helm-van Mil, Annete H; de Vries-Bouwstra, Jeska; Magro-Checa, Cesar; Voskuyl, Alexandre E; Vonk, Madelon C; Molberg, Øyvind; Merriman, Tony; Hesselstrand, Roger; Nordin, Annika; Padyukov, Leonid; Herrick, Ariane; Eyre, Steve; Koeleman, Bobby PC; Denton, Christopher P; Fonseca, Carmen; Radstake, Timothy RDJ; Worthington, Jane; Mayes, Maureen D; Martín, Javier

2017-01-01

Objectives Systemic sclerosis (SSc) and rheumatoid arthritis (RA) are autoimmune diseases that share clinical and immunological characteristics. To date, several shared SSc-RA loci have been identified independently. In this study, we aimed to systematically search for new common SSc-RA loci through an inter-disease meta-GWAS strategy. Methods We performed a meta-analysis combining GWAS datasets of SSc and RA using a strategy that allowed identification of loci with both same-direction and opposing-direction allelic effects. The top single-nucleotide polymorphisms (SNPs) were followed-up in independent SSc and RA case-control cohorts. This allowed us to increase the sample size to a total of 8,830 SSc patients, 16,870 RA patients and 43,393 controls. Results The cross-disease meta-analysis of the GWAS datasets identified several loci with nominal association signals (P-value < 5 × 10-6), which also showed evidence of association in the disease-specific GWAS scan. These loci included several genomic regions not previously reported as shared loci, besides risk factors associated with both diseases in previous studies. The follow-up of the putatively new SSc-RA loci identified IRF4 as a shared risk factor for these two diseases (Pcombined = 3.29 × 10-12). In addition, the analysis of the biological relevance of the known SSc-RA shared loci pointed to the type I interferon and the interleukin 12 signaling pathways as the main common etiopathogenic factors. Conclusions Our study has identified a novel shared locus, IRF4, for SSc and RA and highlighted the usefulness of cross-disease GWAS meta-analysis in the identification of common risk loci. PMID:27111665
Impaired small fiber conduction in patients with Fabry disease: a neurophysiological case–control study

PubMed Central

2013-01-01

Background Fabry disease is an inborn lysosomal storage disorder which is associated with small fiber neuropathy. We set out to investigate small fiber conduction in Fabry patients using pain-related evoked potentials (PREP). Methods In this case–control study we prospectively studied 76 consecutive Fabry patients for electrical small fiber conduction in correlation with small fiber function and morphology. Data were compared with healthy controls using non-parametric statistical tests. All patients underwent neurological examination and were investigated with pain and depression questionnaires. Small fiber function (quantitative sensory testing, QST), morphology (skin punch biopsy), and electrical conduction (PREP) were assessed and correlated. Patients were stratified for gender and disease severity as reflected by renal function. Results All Fabry patients (31 men, 45 women) had small fiber neuropathy. Men with Fabry disease showed impaired cold (p < 0.01) and warm perception (p < 0.05), while women did not differ from controls. Intraepidermal nerve fiber density (IENFD) was reduced at the lower leg (p < 0.001) and the back (p < 0.05) mainly of men with impaired renal function. When investigating A-delta fiber conduction with PREP, men but not women with Fabry disease had lower amplitudes upon stimulation at face (p < 0.01), hands (p < 0.05), and feet (p < 0.01) compared to controls. PREP amplitudes further decreased with advance in disease severity. PREP amplitudes and warm (p < 0.05) and cold detection thresholds (p < 0.01) at the feet correlated positively in male patients. Conclusion Small fiber conduction is impaired in men with Fabry disease and worsens with advanced disease severity. PREP are well-suited to measure A-delta fiber conduction. PMID:23705943
Brain-water diffusion coefficients reflect the severity of inherited prion disease

PubMed Central

Hyare, H.; Wroe, S.; Siddique, D.; Webb, T.; Fox, N. C.; Stevens, J.; Collinge, J.; Yousry, T.; Thornton, J. S.

2010-01-01

Objective: Inherited prion diseases are progressive neurodegenerative conditions, characterized by cerebral spongiosis, gliosis, and neuronal loss, caused by mutations within the prion protein (PRNP) gene. We wished to assess the potential of diffusion-weighted MRI as a biomarker of disease severity in inherited prion diseases. Methods: Twenty-five subjects (mean age 45.2 years) with a known PRNP mutation including 19 symptomatic patients, 6 gene-positive asymptomatic subjects, and 7 controls (mean age 54.1 years) underwent conventional and diffusion-weighted MRI. An index of normalized brain volume (NBV) and region of interest (ROI) mean apparent diffusion coefficient (ADC) for the head of caudate, putamen, and pulvinar nuclei were recorded. ADC histograms were computed for whole brain (WB) and gray matter (GM) tissue fractions. Clinical assessment utilized standardized clinical scores. Mann-Whitney U test and regression analyses were performed. Results: Symptomatic patients exhibited an increased WB mean ADC (p = 0.006) and GM mean ADC (p = 0.024) compared to controls. Decreased NBV and increased mean ADC measures significantly correlated with clinical measures of disease severity. Using a stepwise multivariate regression procedure, GM mean ADC was an independent predictor of Clinician's Dementia Rating score (p = 0.001), Barthel Index of activities of daily living (p = 0.001), and Rankin disability score (p = 0.019). Conclusions: Brain volume loss in inherited prion diseases is accompanied by increased cerebral apparent diffusion coefficient (ADC), correlating with increased disease severity. The association between gray matter ADC and clinical neurologic status suggests this measure may prove a useful biomarker of disease activity in inherited prion diseases. GLOSSARY ADAS-Cog = Alzheimer's Disease Assessment Scale–Cognitive subscale; ADC = apparent diffusion coefficient; ADL = Barthel Activities of Daily Living scale; BET = brain extraction tool; BPRS = Brief Psychiatric Rating Scale; BSE = bovine spongiform encephalopathy; CDR = Clinician's Dementia Rating Scale; CGIS = Clinician's Global Impression of Disease; CI = confidence interval; DWI = diffusion-weighted imaging; FLAIR = fluid-attenuated inversion recovery; FOV = field of view; GM = gray matter; LC = left head of caudate; LP = left putamen; LPu = left pulvinar; MMSE = Mini-Mental State Examination; NBV = normalized brain volume; PH = peak height; PL = peak location; RC = right head of caudate; RP = right putamen; RPu = right pulvinar; ROI = region of interest; sCJD = sporadic Creutzfeldt-Jakob disease; TE = echo time; TI = inversion time; TR = repetition time; vCJD = variant Creutzfeldt-Jakob disease; WB = whole brain; WM = white matter. PMID:20177119
A robust method using propensity score stratification for correcting verification bias for binary tests

PubMed Central

He, Hua; McDermott, Michael P.

2012-01-01

Sensitivity and specificity are common measures of the accuracy of a diagnostic test. The usual estimators of these quantities are unbiased if data on the diagnostic test result and the true disease status are obtained from all subjects in an appropriately selected sample. In some studies, verification of the true disease status is performed only for a subset of subjects, possibly depending on the result of the diagnostic test and other characteristics of the subjects. Estimators of sensitivity and specificity based on this subset of subjects are typically biased; this is known as verification bias. Methods have been proposed to correct verification bias under the assumption that the missing data on disease status are missing at random (MAR), that is, the probability of missingness depends on the true (missing) disease status only through the test result and observed covariate information. When some of the covariates are continuous, or the number of covariates is relatively large, the existing methods require parametric models for the probability of disease or the probability of verification (given the test result and covariates), and hence are subject to model misspecification. We propose a new method for correcting verification bias based on the propensity score, defined as the predicted probability of verification given the test result and observed covariates. This is estimated separately for those with positive and negative test results. The new method classifies the verified sample into several subsamples that have homogeneous propensity scores and allows correction for verification bias. Simulation studies demonstrate that the new estimators are more robust to model misspecification than existing methods, but still perform well when the models for the probability of disease and probability of verification are correctly specified. PMID:21856650
[Preimplantation genetic diagnosis and monogenic inherited eye diseases].

PubMed

Hlavatá, L; Ďuďáková, Ľ; Trková, M; Soldátová, I; Skalická, P; Kousal, B; Lišková, P

Preimplantation genetic diagnosis (PGD) is an established application of genetic testing in the context of in vitro fertilization. PGD is an alternative method to prenatal diagnosis which aims to prevent the transmission of an inherited disorder to the progeny by implanting only embryos that do not carry genetic predisposition for a particular disease. The aim of this study is to provide an overview of eye disorders for which PGD has been carried out. The European literature search focused on best practices, ethical issues, risks and results of PGD for inherited eye disorders. PGD is performed for a number of ocular disorders; a prerequisite for its application is however, the knowledge of a disease-causing mutation(s). The main advantage of this method is that the couple is not exposed to a decision of whether or not to undergo an abortion. Qualified counselling must be provided prior to the PGD in order to completely understand the risk of disability in any child conceived, consequences of disease manifestation, and advantages as well as limitations of this method. In the group of non-syndromic eye diseases and diseases in which ocular findings dominate, PGD has been performed in European countries for aniridia, choroideremia, congenital fibrosis of extraocular muscles, Leber congenital amaurosis, ocular albinism, retinitis pigmentosa, X-linked retinoschisis, Stargardt disease, blepharophimosis-ptosis-inverse epicanthus syndrome and retinoblastoma. Sexing for X-linked or mitochondrial diseases has been carried out for blue cone monochromatism, choroideremia, familial exudative vitreoretinopathy, Leber hereditary optic neuropathy, macular dystrophy (not further specified), Norrie disease, X-linked congenital stationary night blindness, X-linked retinoschisis and nystagmus (not further specified). In recent years, there has been an increase in potential to use PGD. The spectrum of diseases for this method has widened to include severe inherited eye diseases.Key words: preimplantation genetic diagnosis; monogenic eye diseases; in vitro fertilization.
Methods to assess pecan scab

USDA-ARS?s Scientific Manuscript database

Pecan scab (Fusicladium effusum [G. Winter]) is the most important disease of pecan in the U.S. Measuring the severity of scab accurately and reliably and providing data amenable to analysis using parametric statistics is important where treatments are being compared to minimize the risk of Type II ...
Sjogren's syndrome from the perspective of ophthalmology.

PubMed

Kuklinski, Eric; Asbell, Penny A

2017-09-01

Sjogren's syndrome (SS) is an autoimmune disease affecting the lacrimal glands resulting in dry eye disease (DED). Ophthalmologists may be the first line of detection of Sjogren's syndrome given the frequency of DED in SS and that dry eye is often the presenting symptom. Numerous symptom questionnaires and tests have been developed to help diagnose DED, but as of yet, there is no "gold standard." Minimally invasive objective metrics are needed for a reliable diagnosis of DED. Currently there is no single test to diagnose SS-associated DED. Although there are several approaches to treatment, none are specific for DED in SS, and, generally, several methods need to be tried to find what works best for a specific patient. Treatment for DED continues to be an unmet medical need, especially given that DED in SS is typically on the severe end of the spectrum. Copyright © 2017 Elsevier Inc. All rights reserved.
Development of a Trypanosoma cruzi strain typing assay using MS2 peptide spectral libraries (Tc-STAMS2).

PubMed

de Oliveira, Gilberto Santos; Kawahara, Rebeca; Rosa-Fernandes, Livia; Mule, Simon Ngao; Avila, Carla Cristi; Teixeira, Marta M G; Larsen, Martin R; Palmisano, Giuseppe

2018-04-01

Chagas disease also known as American trypanosomiasis is caused by the protozoan Trypanosoma cruzi. Over the last 30 years, Chagas disease has expanded from a neglected parasitic infection of the rural population to an urbanized chronic disease, becoming a potentially emergent global health problem. T. cruzi strains were assigned to seven genetic groups (TcI-TcVI and TcBat), named discrete typing units (DTUs), which represent a set of isolates that differ in virulence, pathogenicity and immunological features. Indeed, diverse clinical manifestations (from asymptomatic to highly severe disease) have been attempted to be related to T.cruzi genetic variability. Due to that, several DTU typing methods have been introduced. Each method has its own advantages and drawbacks such as high complexity and analysis time and all of them are based on genetic signatures. Recently, a novel method discriminated bacterial strains using a peptide identification-free, genome sequence-independent shotgun proteomics workflow. Here, we aimed to develop a Trypanosoma cruzi Strain Typing Assay using MS/MS peptide spectral libraries, named Tc-STAMS2. The Tc-STAMS2 method uses shotgun proteomics combined with spectral library search to assign and discriminate T. cruzi strains independently on the genome knowledge. The method is based on the construction of a library of MS/MS peptide spectra built using genotyped T. cruzi reference strains. For identification, the MS/MS peptide spectra of unknown T. cruzi cells are identified using the spectral matching algorithm SpectraST. The Tc-STAMS2 method allowed correct identification of all DTUs with high confidence. The method was robust towards different sample preparations, length of chromatographic gradients and fragmentation techniques. Moreover, a pilot inter-laboratory study showed the applicability to different MS platforms. This is the first study that develops a MS-based platform for T. cruzi strain typing. Indeed, the Tc-STAMS2 method allows T. cruzi strain typing using MS/MS spectra as discriminatory features and allows the differentiation of TcI-TcVI DTUs. Similar to genomic-based strategies, the Tc-STAMS2 method allows identification of strains within DTUs. Its robustness towards different experimental and biological variables makes it a valuable complementary strategy to the current T. cruzi genotyping assays. Moreover, this method can be used to identify DTU-specific features correlated with the strain phenotype.
Progression of liver fibrosis is associated with non‐liver‐related mortality in patients with nonalcoholic fatty liver disease

PubMed Central

Kumada, Takashi; Toyoda, Hidenori; Mizuno, Kazuyuki; Sone, Yasuhiro; Akita, Tomoyuki; Tanaka, Junko

2017-01-01

In patients with nonalcoholic fatty liver disease (NAFLD), prognosis and outcome, especially non‐liver‐related mortality, remain incompletely elucidated. We clarified the mortality from all causes in patients with NAFLD. A total of 4,073 patients with NAFLD diagnosed by ultrasonography were enrolled. We investigated the causes of death and analyzed the mortality from non‐liver‐related diseases according to the degrees of steatosis and fibrosis using the competing risk method. We used the NAFLD fibrosis score (NFS) to assess fibrosis severity and the ultrasonography fatty liver score to evaluate steatosis severity. The numbers of patients with NFS indicating low, intermediate, and high probabilities of advanced fibrosis were 2,451 (60.2%), 1,462 (35.9%), and 160 (3.9%), respectively. Of the 4,073 patients, 179 died during follow‐up, but only nine deaths were due to liver‐related diseases. Of the remaining 170 patients who died due to non‐liver‐related diseases, 83 (48.8%), 42 (24.7%), and 45 (26.5%) patients died due to malignancies, cerebrovascular and cardiovascular diseases, and benign diseases (excluding cerebrovascular and cardiovascular diseases), respectively. Multivariate analysis showed that the intermediate and high NFS groups were independently associated with each disease category: hazard ratio (HR) 2.163 (95% confidence interval [CI], 1.354‐3.457) and HR 4.814 (95% CI, 2.323‐9.977) for malignancies; HR 2.265 (95% CI, 1.141‐4.497) and HR 8.482 (95% CI, 3.558‐20.220) for cerebrovascular and cardiovascular diseases; and HR 3.216 (95% CI, 1.641‐6.303) and HR 5.558 (95% CI, 1.923‐16.070) for benign diseases, respectively. Conversely, the status of steatosis was not associated with risk of mortality in multivariate analysis. Conclusion: Progression of liver fibrosis severity was associated with mortality from various non‐liver‐related causes in patients with NAFLD. (Hepatology Communications 2017;1:928–945) PMID:29404500
Relationship Between Disease Characteristics and Orofacial Manifestations in Systemic Sclerosis: Canadian Systemic Sclerosis Oral Health Study III

PubMed Central

BARON, MURRAY; HUDSON, MARIE; TATIBOUET, SOLÈNE; STEELE, RUSSELL; LO, ERNEST; GRAVEL, SABRINA; GYGER, GENEVIÈVE; SAYEGH, TAREK EL; POPE, JANET; FONTAINE, AUDREY; MASETTO, ARIEL; MATTHEWS, DEBORA; SUTTON, EVELYN; THIE, NORMAN; JONES, NIALL; COPETE, MARIA; KOLBINSON, DEAN; MARKLAND, JANET; NOGUEIRA, GETULIO; ROBINSON, DAVID; FRITZLER, MARVIN; GORNITSKY, MERVYN

2015-01-01

Objective Systemic sclerosis (SSc; scleroderma) is associated with decreased saliva production and interincisal distance, more missing teeth, and periodontal disease. We undertook this study to determine the clinical correlates of SSc with these oral abnormalities. Methods Subjects were recruited from the Canadian Scleroderma Research Group cohort. Detailed dental and clinical examinations were performed according to standardized protocols. Associations between dental abnormalities and selected clinical and serologic manifestations of SSc were examined. Results One hundred sixty-three SSc subjects were included: 90% women, mean ± SD age 56 ± 11 years, mean ± SD disease duration 14 ± 8 years, 72% with limited cutaneous disease, and 28% with diffuse cutaneous disease. Decreased saliva production was associated with Sjögren’s syndrome–related autoantibodies (β = −43.32; 95% confidence interval [95% CI] −80.89, −5.75), but not with disease severity (β = −2.51; 95% CI −8.75, 3.73). Decreased interincisal distance was related to disease severity (β = −1.02; 95% CI −1.63, −0.42) and the modified Rodnan skin thickness score (β = −0.38; 95% CI −0.53, −0.23). The number of missing teeth was associated with decreased saliva production (relative risk [RR] 0.97; 95% CI 0.94, 0.99), worse hand function (RR 1.52; 95% CI 1.13, 2.02), and the presence of gastroesophageal reflux disease (GERD; RR 1.68 [95% CI 1.14, 2.46]). No clinical or serologic variables were correlated with periodontal disease. Conclusion In SSc, diminished interincisal distance is related to overall disease severity. Decreased saliva production is related to concomitant Sjögren’s syndrome antibodies. Tooth loss is associated with poor upper extremity function, GERD, and decreased saliva. The etiology of excess periodontal disease is likely multifactorial and remains unclear. PMID:25303223
Non-Clostridium perfringens infectious agents producing necrotic enteritis-like lesions in poultry.

PubMed

Uzal, F A; Sentíes-Cué, C G; Rimoldi, G; Shivaprasad, H L

2016-06-01

Necrotic enteritis (NE) produced by Clostridium perfringens is amongst the most prevalent enteric diseases of chickens and turkeys. However, several other bacterial, parasitic and viral agents can cause clinical signs, gross and microscopic lesions in poultry very similar to those of NE and the diseases produced by those agents need to be differentiated from NE. The main differential diagnoses for C. perfringens NE include bacterial (Clostridium colinum, Clostridium sordellii, Clostridium difficile, Pasteurella multocida, Brachyspira spp.), parasitic (Eimeria spp., Histomonas meleagridis) and viral (Duck Herpesvirus type 1, Avian Paramyxovirus type 1) diseases. Confirmation of the diagnosis of these diseases requires identification of the aetiological agents by morphological, cultural and/or molecular methods.
Paediatric nurses' perception of the child-family dyad's autonomy in managing a chronic disease situation: the experience of an Italian paediatric department.

PubMed

Bagnasco, A; Petralia, P; Furnari, S; Ghio, S; Calza, S; Sasso, L

2013-06-01

Chronically ill patients have to take several medications and non-adherence to treatment can lead to severe and negative outcomes. Therefore, several interventions are suggested in literature to improve adherence rates in clinical practice. Adherence to treatment can be particularly troublesome in adolescents, who strive for autonomy and self-care independence. Literature suggests that improving adherence is useful to guarantee positive outcomes and reduce costs. To explore how nurses perceived autonomy in parents, adolescents, and children related to the management of chronic disease. A qualitative study including 1 focus group and 7 semi-structured interviews conducted between September 2011 and October 2011. The qualitative date were analysed with the thematic analysis method. The sample included 12 paediatric nurses working in a Children's Cystic Fibrosis Unit and Neuromuscular Disease Unit. The 5 main categories that emerged from this qualitative study after he process of categorization were: 'Changes in daily lifestyle', 'Nurses' attitude towards educating the dyad', 'Adolescence and transition', 'Parents' attitudes towards chronic disease', and 'Availability of information'. Correct information and education is crucial for families who have a chronically ill child. Internet can be a misleading source of information and provide wrong information also in relation to prevention.
Cirrhosis in children and adolescents: An overview

PubMed Central

Pinto, Raquel Borges; Schneider, Ana Claudia Reis; da Silveira, Themis Reverbel

2015-01-01

Several conditions, especially chronic liver diseases, can lead to cirrhosis in children and adolescents. Most cases in clinical practice are caused by similar etiologies. In infants, cirrhosis is most often caused by biliary atresia and genetic-metabolic diseases, while in older children, it tends to result from autoimmune hepatitis, Wilson’s disease, alpha-1-antitrypsin deficiency and primary sclerosing cholangitis. The symptoms of cirrhosis in children and adolescents are similar to those of adults. However, in pediatric patients, the first sign of cirrhosis is often poor weight gain. The complications of pediatric cirrhosis are similar to those observed in adult patients, and include gastrointestinal bleeding caused by gastroesophageal varices, ascites and spontaneous bacterial peritonitis. In pediatric patients, special attention should be paid to the nutritional alterations caused by cirrhosis, since children and adolescents have higher nutritional requirements for growth and development. Children and adolescents with chronic cholestasis are at risk for several nutritional deficiencies. Malnutrition can have severe consequences for both pre- and post-liver transplant patients. The treatment of cirrhosis-induced portal hypertension in children and adolescents is mostly based on methods developed for adults. The present article will review the diagnostic and differential diagnostic aspects of end-stage liver disease in children, as well as the major treatment options for this condition. PMID:25848466
Defining glycoprotein cancer biomarkers by MS in conjunction with glycoprotein enrichment.

PubMed

Song, Ehwang; Mechref, Yehia

2015-01-01

Protein glycosylation is an important and common post-translational modification. More than 50% of human proteins are believed to be glycosylated to modulate the functionality of proteins. Aberrant glycosylation has been correlated to several diseases, such as inflammatory skin diseases, diabetes mellitus, cardiovascular disorders, rheumatoid arthritis, Alzheimer's and prion diseases, and cancer. Many approved cancer biomarkers are glycoproteins which are not highly abundant proteins. Therefore, effective qualitative and quantitative assessment of glycoproteins entails enrichment methods. This chapter summarizes glycoprotein enrichment methods, including lectin affinity, immunoaffinity, hydrazide chemistry, hydrophilic interaction liquid chromatography, and click chemistry. The use of these enrichment approaches in assessing the qualitative and quantitative changes of glycoproteins in different types of cancers are presented and discussed. This chapter highlights the importance of glycoprotein enrichment techniques for the identification and characterization of new reliable cancer biomarkers.
Human rhinovirus and disease severity in children.

PubMed

Costa, Lourenço Faria; Queiróz, Divina Aparecida Oliveira; Lopes da Silveira, Hélio; Bernardino Neto, Morun; de Paula, Nayhanne Tizzo; Oliveira, Thelma Fátima Mattos Silva; Tolardo, Aline Lavado; Yokosawa, Jonny

2014-02-01

To evaluate retrospectively human rhinovirus (HRV) infections in children up to 5 years old and factors involved in disease severity. Nasopharyngeal aspirates from 434 children presenting a broad range of respiratory infection symptoms and severity degrees were tested for presence of HRV and 8 other respiratory viruses. Presence of host risk factors was also assessed. HRV was detected in 181 (41.7%) samples, in 107 of them as the only agent and in 74 as coinfections, mostly with respiratory syncytial virus (RSV; 43.2%). Moderate to severe symptoms were observed in 28.9% (31/107) single infections and in 51.3% (38/74) coinfections (P = .004). Multivariate analyses showed association of coinfections with lower respiratory tract symptoms and some parameters of disease severity, such as hospitalization. In coinfections, RSV was the most important virus associated with severe disease. Prematurity, cardiomyopathies, and noninfectious respiratory diseases were comorbidities that also were associated with disease severity (P = .007). Our study showed that HRV was a common pathogen of respiratory disease in children and was also involved in severe cases, causing symptoms of the lower respiratory tract. Severe disease in HRV infections were caused mainly by presence of RSV in coinfections, prematurity, congenital heart disease, and noninfectious respiratory disease.

[Technologies for Complex Intelligent Clinical Data Analysis].

PubMed

Baranov, A A; Namazova-Baranova, L S; Smirnov, I V; Devyatkin, D A; Shelmanov, A O; Vishneva, E A; Antonova, E V; Smirnov, V I

2016-01-01

The paper presents the system for intelligent analysis of clinical information. Authors describe methods implemented in the system for clinical information retrieval, intelligent diagnostics of chronic diseases, patient's features importance and for detection of hidden dependencies between features. Results of the experimental evaluation of these methods are also presented. Healthcare facilities generate a large flow of both structured and unstructured data which contain important information about patients. Test results are usually retained as structured data but some data is retained in the form of natural language texts (medical history, the results of physical examination, and the results of other examinations, such as ultrasound, ECG or X-ray studies). Many tasks arising in clinical practice can be automated applying methods for intelligent analysis of accumulated structured array and unstructured data that leads to improvement of the healthcare quality. the creation of the complex system for intelligent data analysis in the multi-disciplinary pediatric center. Authors propose methods for information extraction from clinical texts in Russian. The methods are carried out on the basis of deep linguistic analysis. They retrieve terms of diseases, symptoms, areas of the body and drugs. The methods can recognize additional attributes such as "negation" (indicates that the disease is absent), "no patient" (indicates that the disease refers to the patient's family member, but not to the patient), "severity of illness", disease course", "body region to which the disease refers". Authors use a set of hand-drawn templates and various techniques based on machine learning to retrieve information using a medical thesaurus. The extracted information is used to solve the problem of automatic diagnosis of chronic diseases. A machine learning method for classification of patients with similar nosology and the methodfor determining the most informative patients'features are also proposed. Authors have processed anonymized health records from the pediatric center to estimate the proposed methods. The results show the applicability of the information extracted from the texts for solving practical problems. The records ofpatients with allergic, glomerular and rheumatic diseases were used for experimental assessment of the method of automatic diagnostic. Authors have also determined the most appropriate machine learning methods for classification of patients for each group of diseases, as well as the most informative disease signs. It has been found that using additional information extracted from clinical texts, together with structured data helps to improve the quality of diagnosis of chronic diseases. Authors have also obtained pattern combinations of signs of diseases. The proposed methods have been implemented in the intelligent data processing system for a multidisciplinary pediatric center. The experimental results show the availability of the system to improve the quality of pediatric healthcare.
Computational Determination of the Effects of Bacteriophage Bacteriophage Interactions in Human body.

PubMed

Mostafa, Marwa Mostafa; Nassef, Mohammad; Badr, Amr

2017-10-19

Chronic diseases are becoming more serious and widely spreading and this carries a heavy burden on doctors to deal with such patients. Although many of these diseases can be treated by bacteriophages, the situation is significantly dangerous in patients having concomitant more than one chronic disease, where conflicts between phages used in treating these diseases are very closer to happen. This research paper presents a method to detecting the Bacteriophage-Bacteriophage Interaction. This method is implemented based on Domain-Domain Interactions model and it was used to infer Domain-Domain Interactions between the bacteriophages injected in the human body at the same time. By testing the method over bacteriophages that are used to treat tuberculosis, salmonella and virulent E.coli, many interactions have been inferred and detected between these bacteriophages. Several effects were detected for the resulted interactions such as: playing a role in DNA repair such as non-homologous end joining, playing a role in DNA replication, playing a role in the interaction between the immune system and the tumor cells and playing a role in the stiff man syndrome. We revised all patents relating to bacteriophage bacteriophage interactions and phage therapy. The proposed method is developed to help doctors to realize the effect of simultaneously injecting different bacteriophages into the human body to treat different diseases. Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.org.
Molecular diagnosis of Papaya meleira virus (PMeV) from leaf samples of Carica papaya L. using conventional and real-time RT-PCR.

PubMed

Abreu, Paolla M V; Piccin, João G; Rodrigues, Silas P; Buss, David S; Ventura, José A; Fernandes, Patricia M B

2012-03-01

Papaya meleira virus (PMeV) is the causal agent of papaya sticky disease. This study describes two methods for molecular diagnosis of PMeV using conventional and real-time PCR. These methods were shown to be more efficient than current methods of viral detection using extraction of PMeV dsRNA and observation of symptoms in the field. The methods described here were used to evaluate the effect of inoculation of papaya plants with purified PMeV dsRNA on the progress of PMeV infection. A single inoculation with PMeV dsRNA was observed to delay the progress of the virus infection by several weeks. The possibility of vertical transmission of PMeV was also investigated. No evidence was found for PMeV transmission through seeds collected from diseased fruit. The implications of these results for the epidemiology of PMeV and the management of papaya sticky disease are discussed. Copyright Â© 2011 Elsevier B.V. All rights reserved.
Abnormal illness behavior and Internet addiction severity: The role of disease conviction, irritability, and alexithymia

PubMed Central

Scimeca, Giuseppe; Bruno, Antonio; Crucitti, Manuela; Conti, Claudio; Quattrone, Diego; Pandolfo, Gianluca; Zoccali, Rocco Antonio; Muscatello, Maria Rosaria Anna

2017-01-01

Background and aims While the association between health anxiety and maladaptive Internet use is a well-established finding, no studies have been performed to examine the possible effect of abnormal illness behavior (AIB). AIB is a maladaptive manner of experiencing, evaluating, or acting in response to health and illness that is disproportionate to evident pathology. The aim of this study was to investigate the association between AIB and Internet addiction (IA) severity in a sample of Italian University students. The possible effect of alexithymia, anxiety, and depression was also taken into account. Methods Participants were 115 men and 163 women (mean age = 23.62 ± 4.38 years); AIB was measured via the Illness Behavior Questionnaire (IBQ), and IA severity by the Internet Addiction Test (IAT). Results The most powerful IBQ factor predicting IA severity scores was disease conviction. Irritability was the only emotional IBQ factor associated with IA severity. Nevertheless, disease conviction and alexithymia remained the only significant predictors of IAT scores when hierarchical regression analysis was executed. Discussion and conclusions Our results support previous findings showing that those characterized by health anxiety are more prone to an excessive and maladaptive use of Internet. Moreover, this study showed that irritability was the only emotional aspect of AIB predicting IA severity. This finding is consistent with the cognitive model of hypochondria, which states that cognitive factors (dysfunctional beliefs and assumptions) play a major role in the explanation of this psychopathological condition. PMID:28245678
Abnormal illness behavior and Internet addiction severity: The role of disease conviction, irritability, and alexithymia.

PubMed

Scimeca, Giuseppe; Bruno, Antonio; Crucitti, Manuela; Conti, Claudio; Quattrone, Diego; Pandolfo, Gianluca; Zoccali, Rocco Antonio; Muscatello, Maria Rosaria Anna

2017-03-01

Background and aims While the association between health anxiety and maladaptive Internet use is a well-established finding, no studies have been performed to examine the possible effect of abnormal illness behavior (AIB). AIB is a maladaptive manner of experiencing, evaluating, or acting in response to health and illness that is disproportionate to evident pathology. The aim of this study was to investigate the association between AIB and Internet addiction (IA) severity in a sample of Italian University students. The possible effect of alexithymia, anxiety, and depression was also taken into account. Methods Participants were 115 men and 163 women (mean age = 23.62 ± 4.38 years); AIB was measured via the Illness Behavior Questionnaire (IBQ), and IA severity by the Internet Addiction Test (IAT). Results The most powerful IBQ factor predicting IA severity scores was disease conviction. Irritability was the only emotional IBQ factor associated with IA severity. Nevertheless, disease conviction and alexithymia remained the only significant predictors of IAT scores when hierarchical regression analysis was executed. Discussion and conclusions Our results support previous findings showing that those characterized by health anxiety are more prone to an excessive and maladaptive use of Internet. Moreover, this study showed that irritability was the only emotional aspect of AIB predicting IA severity. This finding is consistent with the cognitive model of hypochondria, which states that cognitive factors (dysfunctional beliefs and assumptions) play a major role in the explanation of this psychopathological condition.
Silver Nanoparticle Modified Electrode Covered by Graphene Oxide for the Enhanced Electrochemical Detection of Dopamine

PubMed Central

Shin, Jae-Wook; Kim, Kyeong-Jun; Yoon, Jinho; Jo, Jinhee; El-Said, Waleed Ahmed; Choi, Jeong-Woo

2017-01-01

Several neurological disorders such as Alzheimer’s disease and Parkinson’s disease have become a serious impediment to aging people nowadays. One of the efficient methods used to monitor these neurological disorders is the detection of neurotransmitters such as dopamine. Metal materials, such as gold and platinum, are widely used in this electrochemical detection method; however, low sensitivity and linearity at low dopamine concentrations limit the use of these materials. To overcome these limitations, a silver nanoparticle (SNP) modified electrode covered by graphene oxide for the detection of dopamine was newly developed in this study. For the first time, the surface of an indium tin oxide (ITO) electrode was modified using SNPs and graphene oxide sequentially through the electrochemical deposition method. The developed biosensor provided electrochemical signal enhancement at low dopamine concentrations in comparison with previous biosensors. Therefore, our newly developed SNP modified electrode covered by graphene oxide can be used to monitor neurological diseases through electrochemical signal enhancement at low dopamine concentrations. PMID:29186040
Silver Nanoparticle Modified Electrode Covered by Graphene Oxide for the Enhanced Electrochemical Detection of Dopamine.

PubMed

Shin, Jae-Wook; Kim, Kyeong-Jun; Yoon, Jinho; Jo, Jinhee; El-Said, Waleed Ahmed; Choi, Jeong-Woo

2017-11-29

Several neurological disorders such as Alzheimer's disease and Parkinson's disease have become a serious impediment to aging people nowadays. One of the efficient methods used to monitor these neurological disorders is the detection of neurotransmitters such as dopamine. Metal materials, such as gold and platinum, are widely used in this electrochemical detection method; however, low sensitivity and linearity at low dopamine concentrations limit the use of these materials. To overcome these limitations, a silver nanoparticle (SNP) modified electrode covered by graphene oxide for the detection of dopamine was newly developed in this study. For the first time, the surface of an indium tin oxide (ITO) electrode was modified using SNPs and graphene oxide sequentially through the electrochemical deposition method. The developed biosensor provided electrochemical signal enhancement at low dopamine concentrations in comparison with previous biosensors. Therefore, our newly developed SNP modified electrode covered by graphene oxide can be used to monitor neurological diseases through electrochemical signal enhancement at low dopamine concentrations.
[Current status and perspectives of diagnosis and treatment of complications related to liver cirrhosis].

PubMed

Nan, Y M

2017-04-20

Liver cirrhosis is the severe period of chronic liver diseases, especially decompensated liver cirrhosis and its complications, such as ascites, esophagogastric variceal bleeding, hepatic encephalopathy, acute kidney injury, and hepatocellular carcinoma, which greatly affect patients' quality of life and even threaten their lives. Early prevention and treatment of the causes of development and progression and pathogenic mechanism may slow down or reverse liver cirrhosis and its severe complications. Once the disease progresses to portal hypertension and related complications, it is very important to select preventive measures for acute exacerbation of different complications, as well as the methods and timing for treatment in acute stage, which may help to save patients' lives and improve their prognosis.
The Airway Microbiome in Severe Asthma: Associations with Disease Features and Severity

PubMed Central

Huang, Yvonne J.; Nariya, Snehal; Harris, Jeffrey M.; Lynch, Susan V.; Choy, David F.; Arron, Joseph R.; Boushey, Homer

2015-01-01

Background Asthma is heterogeneous, and airway dysbiosis is associated with clinical features in mild-moderate asthma. Whether similar relationships exist among patients with severe asthma is unknown. Objective To evaluate relationships between the bronchial microbiome and features of severe asthma. Methods Bronchial brushings from 40 participants in the BOBCAT study (Bronchoscopic Exploratory Research Study of Biomarkers in Corticosteroid-refractory Asthma) were evaluated using 16S rRNA-based methods. Relationships to clinical and inflammatory features were analyzed among microbiome-profiled subjects. Secondarily, bacterial compositional profiles were compared between severe asthmatics, and previously studied healthy controls (n=7), and mild-moderate asthma subjects (n=41). Results In severe asthma, bronchial bacterial composition was associated with several disease-related features, including body-mass index (BMI; Bray-Curtis distance PERMANOVA, p < 0.05), changes in Asthma Control Questionnaire (ACQ) scores (p < 0.01), sputum total leukocytes (p = 0.06) and bronchial biopsy eosinophils (per mm2; p = 0.07). Bacterial communities associated with worsening ACQ and sputum total leukocytes (predominantly Proteobacteria) differed markedly from those associated with BMI (Bacteroidetes/Firmicutes). In contrast, improving/stable ACQ and bronchial epithelial gene expression of FKBP5, an indicator of steroid responsiveness, correlated with Actinobacteria. Mostly negative correlations were observed between biopsy eosinophils and Proteobacteria. No taxa were associated with a T-helper type 2-related epithelial gene expression signature, but expression of Th17-related genes was associated with Proteobacteria. Severe asthma subjects, compared to healthy controls or mild-moderate asthmatics, were significantly enriched in Actinobacteria, although the largest differences observed involved a Klebsiella genus member (7.8 fold-increase in severe asthma, padj < 0.001) Conclusions Specific microbiota are associated with and may modulate inflammatory processes in severe asthma and related phenotypes. Airway dysbiosis in severe asthma appears to differ from that observed in milder asthma in the setting of inhaled corticosteroid use. PMID:26220531
A functional U-statistic method for association analysis of sequencing data.

PubMed

Jadhav, Sneha; Tong, Xiaoran; Lu, Qing

2017-11-01

Although sequencing studies hold great promise for uncovering novel variants predisposing to human diseases, the high dimensionality of the sequencing data brings tremendous challenges to data analysis. Moreover, for many complex diseases (e.g., psychiatric disorders) multiple related phenotypes are collected. These phenotypes can be different measurements of an underlying disease, or measurements characterizing multiple related diseases for studying common genetic mechanism. Although jointly analyzing these phenotypes could potentially increase the power of identifying disease-associated genes, the different types of phenotypes pose challenges for association analysis. To address these challenges, we propose a nonparametric method, functional U-statistic method (FU), for multivariate analysis of sequencing data. It first constructs smooth functions from individuals' sequencing data, and then tests the association of these functions with multiple phenotypes by using a U-statistic. The method provides a general framework for analyzing various types of phenotypes (e.g., binary and continuous phenotypes) with unknown distributions. Fitting the genetic variants within a gene using a smoothing function also allows us to capture complexities of gene structure (e.g., linkage disequilibrium, LD), which could potentially increase the power of association analysis. Through simulations, we compared our method to the multivariate outcome score test (MOST), and found that our test attained better performance than MOST. In a real data application, we apply our method to the sequencing data from Minnesota Twin Study (MTS) and found potential associations of several nicotine receptor subunit (CHRN) genes, including CHRNB3, associated with nicotine dependence and/or alcohol dependence. © 2017 WILEY PERIODICALS, INC.
Iris features-based heart disease diagnosis by computer vision

NASA Astrophysics Data System (ADS)

Nguchu, Benedictor A.; Li, Li

2017-07-01

The study takes advantage of several new breakthroughs in computer vision technology to develop a new mid-irisbiomedical platform that processes iris image for early detection of heart-disease. Guaranteeing early detection of heart disease provides a possibility of having non-surgical treatment as suggested by biomedical researchers and associated institutions. However, our observation discovered that, a clinical practicable solution which could be both sensible and specific for early detection is still lacking. Due to this, the rate of majority vulnerable to death is highly increasing. The delayed diagnostic procedures, inefficiency, and complications of available methods are the other reasons for this catastrophe. Therefore, this research proposes the novel IFB (Iris Features Based) method for diagnosis of premature, and early stage heart disease. The method incorporates computer vision and iridology to obtain a robust, non-contact, nonradioactive, and cost-effective diagnostic tool. The method analyzes abnormal inherent weakness in tissues, change in color and patterns, of a specific region of iris that responds to impulses of heart organ as per Bernard Jensen-iris Chart. The changes in iris infer the presence of degenerative abnormalities in heart organ. These changes are precisely detected and analyzed by IFB method that includes, tensor-based-gradient(TBG), multi orientations gabor filters(GF), textural oriented features(TOF), and speed-up robust features(SURF). Kernel and Multi class oriented support vector machines classifiers are used for classifying normal and pathological iris features. Experimental results demonstrated that the proposed method, not only has better diagnostic performance, but also provides an insight for early detection of other diseases.
Influence of cerebrovascular disease on brain networks in prodromal and clinical Alzheimer's disease.

PubMed

Chong, Joanna Su Xian; Liu, Siwei; Loke, Yng Miin; Hilal, Saima; Ikram, Mohammad Kamran; Xu, Xin; Tan, Boon Yeow; Venketasubramanian, Narayanaswamy; Chen, Christopher Li-Hsian; Zhou, Juan

2017-11-01

Network-sensitive neuroimaging methods have been used to characterize large-scale brain network degeneration in Alzheimer's disease and its prodrome. However, few studies have investigated the combined effect of Alzheimer's disease and cerebrovascular disease on brain network degeneration. Our study sought to examine the intrinsic functional connectivity and structural covariance network changes in 235 prodromal and clinical Alzheimer's disease patients with and without cerebrovascular disease. We focused particularly on two higher-order cognitive networks-the default mode network and the executive control network. We found divergent functional connectivity and structural covariance patterns in Alzheimer's disease patients with and without cerebrovascular disease. Alzheimer's disease patients without cerebrovascular disease, but not Alzheimer's disease patients with cerebrovascular disease, showed reductions in posterior default mode network functional connectivity. By comparison, while both groups exhibited parietal reductions in executive control network functional connectivity, only Alzheimer's disease patients with cerebrovascular disease showed increases in frontal executive control network connectivity. Importantly, these distinct executive control network changes were recapitulated in prodromal Alzheimer's disease patients with and without cerebrovascular disease. Across Alzheimer's disease patients with and without cerebrovascular disease, higher default mode network functional connectivity z-scores correlated with greater hippocampal volumes while higher executive control network functional connectivity z-scores correlated with greater white matter changes. In parallel, only Alzheimer's disease patients without cerebrovascular disease showed increased default mode network structural covariance, while only Alzheimer's disease patients with cerebrovascular disease showed increased executive control network structural covariance compared to controls. Our findings demonstrate the differential neural network structural and functional changes in Alzheimer's disease with and without cerebrovascular disease, suggesting that the underlying pathology of Alzheimer's disease patients with cerebrovascular disease might differ from those without cerebrovascular disease and reflect a combination of more severe cerebrovascular disease and less severe Alzheimer's disease network degeneration phenotype. © The Author (2017). Published by Oxford University Press on behalf of the Guarantors of Brain.
Influence of cerebrovascular disease on brain networks in prodromal and clinical Alzheimer’s disease

PubMed Central

Chong, Joanna Su Xian; Liu, Siwei; Loke, Yng Miin; Hilal, Saima; Ikram, Mohammad Kamran; Xu, Xin; Tan, Boon Yeow; Venketasubramanian, Narayanaswamy; Chen, Christopher Li-Hsian

2017-01-01

Abstract Network-sensitive neuroimaging methods have been used to characterize large-scale brain network degeneration in Alzheimer’s disease and its prodrome. However, few studies have investigated the combined effect of Alzheimer’s disease and cerebrovascular disease on brain network degeneration. Our study sought to examine the intrinsic functional connectivity and structural covariance network changes in 235 prodromal and clinical Alzheimer’s disease patients with and without cerebrovascular disease. We focused particularly on two higher-order cognitive networks—the default mode network and the executive control network. We found divergent functional connectivity and structural covariance patterns in Alzheimer’s disease patients with and without cerebrovascular disease. Alzheimer’s disease patients without cerebrovascular disease, but not Alzheimer’s disease patients with cerebrovascular disease, showed reductions in posterior default mode network functional connectivity. By comparison, while both groups exhibited parietal reductions in executive control network functional connectivity, only Alzheimer’s disease patients with cerebrovascular disease showed increases in frontal executive control network connectivity. Importantly, these distinct executive control network changes were recapitulated in prodromal Alzheimer’s disease patients with and without cerebrovascular disease. Across Alzheimer’s disease patients with and without cerebrovascular disease, higher default mode network functional connectivity z-scores correlated with greater hippocampal volumes while higher executive control network functional connectivity z-scores correlated with greater white matter changes. In parallel, only Alzheimer’s disease patients without cerebrovascular disease showed increased default mode network structural covariance, while only Alzheimer’s disease patients with cerebrovascular disease showed increased executive control network structural covariance compared to controls. Our findings demonstrate the differential neural network structural and functional changes in Alzheimer’s disease with and without cerebrovascular disease, suggesting that the underlying pathology of Alzheimer’s disease patients with cerebrovascular disease might differ from those without cerebrovascular disease and reflect a combination of more severe cerebrovascular disease and less severe Alzheimer’s disease network degeneration phenotype. PMID:29053778
Saint John's wort, an herbal inducer of the cytochrome P4503A4 isoform, may alleviate symptoms of Willis-Ekbom's disease

PubMed Central

Pereira, José Carlos; Pradella-Hallinan, Márcia; Alves, Rosana Cardoso

2013-01-01

OBJECTIVE: Certain drug classes alleviate the symptoms of Willis-Ekbom's disease, whereas others aggravate them. The pharmacological profiles of these drugs suggest that drugs that alleviate Willis-Ekbom's disease inhibit thyroid hormone activity, whereas drugs that aggravate Willis-Ekbom's disease increase thyroid hormone activity. These different effects may be secondary to the opposing actions that drugs have on the CYP4503A4 enzyme isoform. Drugs that worsen the symptoms of the Willis-Ekbom's disease inhibit the CYP4503A4 isoform, and drugs that ameliorate the symptoms induce CYP4503A4. The aim of this study is to determine whether Saint John's wort, as an inducer of the CYP4503A4 isoform, diminishes the severity of Willis-Ekbom's disease symptoms by increasing the metabolism of thyroid hormone in treated patients. METHODS: In an open-label pilot trial, we treated 21 Willis-Ekbom's disease patients with a concentrated extract of Saint John's wort at a daily dose of 300 mg over the course of three months. RESULTS: Saint John's wort reduced the severity of Willis-Ekbom's disease symptoms in 17 of the 21 patients. CONCLUSION: Results of this trial suggest that Saint John's wort may benefit some Willis-Ekbom's disease patients. However, as this trial was not placebo-controlled, the extent to which Saint John's wort is effective as a Willis-Ekbom's disease treatment will depend on future, blinded placebo-controlled studies. PMID:23778343
Actigraphy monitoring of symptoms in patients with Parkinson's disease.

PubMed

Pan, Weidong; Kwak, Shin; Li, Fuzhong; Wu, Chunlan; Chen, Yiyun; Yamamoto, Yoshiharu; Cai, Dingfang

2013-07-02

Although the Unified Parkinson's Disease Rating Scale (UPDRS) is the "gold-standard" tool in assessing the severity of symptoms in patients with Parkinson's disease (PD), not all activity-related disease symptoms can be accurately captured by the well-established clinical rating scale. Using an alternative approach, this study examined the level of physical activity measured by actigraphy over time and whether change in physical activity was associated with disease severity assessed by UPDRS. We used a longitudinal design in which physical activity and disease severity were assessed repeatedly during a 4-month interval, over a 3-year observational period, in a sample of 61 patients with idiopathic PD and a control group of 32 neurologically intact individuals. Physical activity data during awake-time were analyzed using the power-law exponent (PLE) method. Correlational relationships between changes in maxima values of PLE and scores of total UPDRS, UPDRS-part II (Activities of Daily Living), and UPDRS-part III (Motor Examination) in patients with PD were examined. Results show an increase in maxima values of PLE and the UPDRS total score in PD patients and that there is a positive association between changes in maxima values and total UPDRS score (r=0.746, p=0.032), UPDRS-part II score (r=0.687, p=0.027), and UPDRS-part III score (r=0.893, p=0.018). There was no significant change in the level of physical activity over time for the controls. Findings from this study indicate that change in physical activity, as captured by actigraphy, is associated with increased severity in patients' clinical symptoms of PD over time. Thus, these data suggest that, when used in conjunction with the conventional UPDRS measure, an actigraphic measure of physical activity may provide clinicians an adjunct measurement approach to monitor patients' activity-based disease progression or responses to treatment in outpatient clinic settings. Copyright © 2013 The Authors. Published by Elsevier Inc. All rights reserved.
Functional Brain Connectome and Its Relation to Hoehn and Yahr Stage in Parkinson Disease.

PubMed

Suo, Xueling; Lei, Du; Li, Nannan; Cheng, Lan; Chen, Fuqin; Wang, Meiyun; Kemp, Graham J; Peng, Rong; Gong, Qiyong

2017-12-01

Purpose To use resting-state functional magnetic resonance (MR) imaging and graph theory approaches to investigate the brain functional connectome and its potential relation to disease severity in Parkinson disease (PD). Materials and Methods This case-control study was approved by the local research ethics committee, and all participants provided informed consent. There were 153 right-handed patients with PD and 81 healthy control participants recruited who were matched for age, sex, and handedness to undergo a 3-T resting-state functional MR examination. The whole-brain functional connectome was constructed by thresholding the Pearson correlation matrices of 90 brain regions, and the topologic properties were analyzed by using graph theory approaches. Nonparametric permutation tests were used to compare topologic properties, and their relationship to disease severity was assessed. Results The functional connectome in PD showed abnormalities at the global level (ie, decrease in clustering coefficient, global efficiency, and local efficiency, and increase in characteristic path length) and at the nodal level (decreased nodal centralities in the sensorimotor cortex, default mode, and temporal-occipital regions; P < .001, false discovery rate corrected). Further, the nodal centralities in left postcentral gyrus and left superior temporal gyrus correlated negatively with Unified Parkinson's Disease Rating Scale III score (P = .038, false discovery rate corrected, r = -0.198; and P = .009, false discovery rate corrected, r = -0.270, respectively) and decreased with increasing Hoehn and Yahr stage in patients with PD. Conclusion The configurations of brain functional connectome in patients with PD were perturbed and correlated with disease severity, notably with those responsible for motor functions. These results provide topologic insights into understanding the neural functional changes in relation to disease severity of PD. © RSNA, 2017 Online supplemental material is available for this article. An earlier incorrect version of this article appeared online. This article was corrected on September 11, 2017.
Severe disease presentation and poor outcomes among pediatric systemic lupus erythematosus patients in South Africa

PubMed Central

Lewandowski, Laura B; Schanberg, Laura E; Thielman, Nathan; Phuti, Angel; Kalla, Asgar A; Okpechi, Ikechi; Nourse, Peter; Gajjar, Priya; Faller, Gail; Ambaram, Priya; Reuter, Helmuth; Spittal, Graeme; Scott, Christiaan

2016-01-01

Background Systemic Lupus Erythematosus (SLE) is a life-threatening multisystem autoimmune disease that is more severe in patients of African ancestry and children, yet pediatric SLE (pSLE) on the African continent has been understudied. This study describes a cohort of pediatric SLE (PULSE) patients in South Africa (SA). Methods Patients with a diagnosis of SLE (1997 American College of Rheumatology criteria) diagnosed prior to age 19 years in Cape Town, South Africa, were enrolled in this cross-sectional study from September 2013 to December 2014. Information on clinical and serologic characteristics was extracted from medical records. Results were compared to a well-described North American pSLE cohort. Results Seventy-two SA patients were enrolled in the study; mean age 11.5 years, 82% female. The racial distribution was 68% Coloured, 24% Black, 5% White, and 3% Asian/Indian. Most patients presented with severe lupus nephritis (LN) documented by renal biopsy (61%). Of patients with LN, 63% presented with International Society of Nephrology/Renal Pathology Society (ISN/RPS) class III or IV. Patients in the PULSE cohort were more likely to be treated with cyclophosphamide, methotrexate, and azathioprine. The PULSE cohort had high disease activity at diagnosis (mean Systemic Lupus Erythematosus Disease Activity Index-2K [SLEDAI-2K] 20.6). The SLEDAI-2K at enrollment in the PULSE cohort (5.0) did not differ from the North American pSLE cohort (4.8). Sixty three % of PULSE cohort had end organ damage with System Lupus International Collaborating Clinic-Damage Index (SLICC-DI) score >0 (mean SLICC-DI 1.9), compared to 23% in a previously reported US cohort. Within the PULSE cohort, 9 (13%) developed ESRD with 6 (8%) requiring transplant, strikingly higher than North American peers (transplant rate <1%). Conclusions The PULSE cohort had highly active multiorgan disease at diagnosis and significant disease damage at enrollment in the SA registry. SA patients have severe lupus nephritis and poor renal outcomes compared to North American peers. Our study reveals a severe disease phenotype in the PULSE cohort resulting in poor outcomes in this high-risk population. PMID:27488473
Anti-actin IgA antibodies in severe coeliac disease

PubMed Central

Granito, A; Muratori, P; Cassani, F; Pappas, G; Muratori, L; Agostinelli, D; Veronesi, L; Bortolotti, R; Petrolini, N; Bianchi, F B; Volta, U

2004-01-01

Anti-actin IgA antibodies have been found in sera of coeliacs. Our aim was to define the prevalence and clinical significance of anti-actin IgA in coeliacs before and after gluten withdrawal. One hundred and two biopsy-proven coeliacs, 95 disease controls and 50 blood donors were studied. Anti-actin IgA were evaluated by different methods: (a) antimicrofilament positivity on HEp-2 cells and on cultured fibroblasts by immunofluorescence; (b) anti-actin positivity by enzyme-linked immuosorbent assay (ELISA); and (c) presence of the tubular/glomerular pattern of anti-smooth muscle antibodies on rat kidney sections by immunofluorescence. Antimicrofilament IgA were present in 27% of coeliacs and in none of the controls. Antimicrofilament antibodies were found in 25 of 54 (46%) coeliacs with severe villous atrophy and in three of 48 (6%) with mild damage (P < 0·0001). In the 20 patients tested, antimicrofilaments IgA disappeared after gluten withdrawal in accordance with histological recovery. Our study shows a significant correlation between antimicrofilament IgA and the severity of intestinal damage in untreated coeliacs. The disappearance of antimicrofilament IgA after gluten withdrawal predicts the normalization of intestinal mucosa and could be considered a useful tool in the follow-up of severe coeliac disease. PMID:15270857
The prevalence of periodontal disease in a Romano-British population c. 200-400 AD

PubMed Central

Raitapuro-Murray, T.; Molleson, T. I.; Hughes, F. J.

2014-01-01

Objective The aim of this study was to investigate the prevalence of moderate to severe periodontitis in an ancient British cohort c. 200-400 AD. Design Observational study to assess periodontal and other oral disease parameters. Setting Natural History Museum, London. Subjects and methods 303 skulls from a Romano-British burial site in Poundbury, Dorset were examined for evidence of dental disease. Main outcome measures The primary outcome measure was presence of moderate to severe periodontitis. Secondary outcomes included: amount of horizontal bone loss; prevalence of ante-mortem tooth loss; and presence of other dental pathologies. Results The overall prevalence of moderate to severe periodontitis was just greater than 5%. The prevalence rate remained nearly constant between ages 20 to 60, after which it rose to around 10%. The number of affected teeth increased with age. Horizontal bone loss was generally minor. Caries was seen in around 50% of the cohort, and evidence of pulpal and apical pathology was seen in around 25%. Conclusions The prevalence of moderate to severe periodontitis was markedly decreased when compared to the prevalence in modern populations, underlining the potential importance of risk factors such as smoking and diabetes in determining susceptibility to progressive periodontitis in modern populations. PMID:25342357
Anti-Cyclic Citrullinated Peptide Antibodies and Severity of Interstitial Lung Disease in Women with Rheumatoid Arthritis

PubMed Central

Ponce-Guarneros, Manuel; Mejía, Mayra; Juárez-Contreras, Pablo; Corona-Sánchez, Esther Guadalupe; Rodríguez-Hernández, Tania Marlen; Salazar-Páramo, Mario; Cardona-Muñoz, Ernesto German; Celis, Alfredo; González-Lopez, Laura

2015-01-01

Objective. To evaluate whether serum titers of second-generation anticyclic citrullinated peptide antibodies (anti-CCP2) are associated with the severity and extent of interstitial lung disease in rheumatoid arthritis (RA-ILD). Methods. In across-sectional study, 39 RA-ILD patients confirmed by high-resolution computed tomography (HRCT) were compared with 42 RA without lung involvement (RA only). Characteristics related to RA-ILD were assessed in all of the patients and serum anti-CCP2 titers quantified. Results. Higher anti-CCP2 titers were found in RA-ILD compared with RA only (medians 77.9 versus 30.2 U/mL, P < 0.001). In the logistic regression analysis after adjustment for age, disease duration (DD), smoke exposure, disease activity, functioning, erythrocyte sedimentation rate, and methotrexate (MTX) treatment duration, the characteristics associated with RA-ILD were higher anti-CCP2 titers (P = 0.003) and + RF (P = 0.002). In multivariate linear regression, the variables associated with severity of ground-glass score were anti-CCP2 titers (P = 0.02) and with fibrosis score DD (P = 0.01), anti-CCP2 titers (P < 0.001), and MTX treatment duration (P < 0.001). Conclusions. Anti-CCP2 antibodies are markers of severity and extent of RA-ILD in HRCT. Further longitudinal studies are required to identify if higher anti-CCP2 titers are associated with worst prognosis in RA-ILD. PMID:26090479

Osteoporosis and Osteopathy Markers in Patients with Mastocytosis

PubMed Central

Alpay Kanıtez, Nilüfer; Erer, Burak; Doğan, Öner; Büyükbabani, Nesimi; Baykal, Can; Sindel, Dilşad; Tanakol, Refik; Yavuz, Akif Selim

2015-01-01

Objective: Osteoporosis, osteosclerosis, and lytic bone lesions have been observed in patients with systemic mastocytosis (SM). We examined bone mineral density (BMD) biochemical turnover markers and serum tryptase levels in SM, which is considered a rare disease. Materials and Methods: Seventeen adult patients (5 females, 12 males; median age: 33 years, range: 20-64) with mastocytosis were included in this study. We investigated the value of quantitative ultrasound (QUS) of the calcaneus in the assessment of BMD in SM patients, as well as BMD of the lumbar spine (L1-L4), femoral neck, and distal radius using dual energy x-ray absorptiometry (DXA) and plasma tryptase levels, biochemical markers of bone turnover. Results: At lumbar spine L1-L4, the femoral neck, and the distal radius or as calcaneus stiffness, 12 of 17 patients had T-scores of less than -1 at least at 1 site, reflecting osteopenia. Three of 17 patients had T-scores showing osteoporosis (T-score <-2.5). There was no relationship between DXA and bone lesion severity. We also found a significant positive correlation between tryptase levels and disease severity, as well as between disease severity and pyridinoline (p<0.01 by Spearman’s test). Conclusion: DXA and calcaneal QUS may not be appropriate techniques to assess bone involvement in SM patients because of the effects of osteosclerosis. This study further shows that the osteoclastic marker pyridinoline is helpful in patients with severe disease activity and sclerotic bone lesions to show bone demineralization. PMID:25805674
First Enterovirus D68 (EV-D68) cases detected in hospitalised patients in a tertiary care university hospital in Spain, October 2014.

PubMed

Gimferrer, Laura; Campins, Magda; Codina, Maria Gema; Esperalba, Juliana; Martin, Maria Del Carmen; Fuentes, Francisco; Pumarola, Tomas; Anton, Andres

2015-11-01

Several outbreaks of Enterovirus 68 (EV-D68) have recently been reported in the USA and Canada, causing substantial hospitalisation of children with severe respiratory disease. The acute flaccid paralysis detected in the USA and Canada among children with EV-D68 infection has raised concerns about the aetiological role of this EV serotype in severe neurological disease. The circulation of EV-D68 in the general European population seems to be low, but European Centre for Disease Prevention and Control (ECDC) recommends being vigilant to new cases, particularly in severely ill hospitalised patients. In October 2014, enteroviruses were detected in respiratory samples collected from five hospitalised patients, children and adults. Phylogenetic analysis of partial VP1 sequences confirmed that the detected enteroviruses belonged to the D68 serotype, which were also similar to strains reported in USA (2014). However, all five patients developed respiratory symptoms, but only one required ICU admission. None of the patients described had symptoms of neurological disease. Other considerations related to the detection methods used for the diagnosis of respiratory enteroviruses are also discussed. In conclusion, additional evidence has been provided that supports the role of EV-D68 in respiratory infections in hospitalised patients. Copyright © 2015 Elsevier España, S.L.U. y Sociedad Española de Enfermedades Infecciosas y Microbiología Clínica. All rights reserved.
Translation, cross-cultural adaptation and applicability of the Brazilian version of the Frontotemporal Dementia Rating Scale (FTD-FRS)

PubMed Central

Lima-Silva, Thais Bento; Bahia, Valéria Santoro; Carvalho, Viviane Amaral; Guimarães, Henrique Cerqueira; Caramelli, Paulo; Balthazar, Márcio; Damasceno, Benito; Bottino, Cássio Machado de Campos; Brucki, Sônia Maria Dozzi; Mioshi, Eneida; Nitrini, Ricardo; Yassuda, Mônica Sanches

2013-01-01

BACKGROUND Staging scales for dementia have been devised for grading Alzheimer's disease (AD) but do not include the specific symptoms of frontotemporal lobar degeneration (FTLD). OBJECTIVE To translate and adapt the Frontotemporal Dementia Rating Scale (FTD-FRS) to Brazilian Portuguese. METHODS The cross-cultural adaptation process consisted of the following steps: translation, back-translation (prepared by independent translators), discussion with specialists, and development of a final version after minor adjustments. A pilot application was carried out with 12 patients diagnosed with bvFTD and 11 with AD, matched for disease severity (CDR=1.0). The evaluation protocol included: Addenbrooke's Cognitive Examination-Revised (ACE-R), Mini-Mental State Examination (MMSE), Executive Interview (EXIT-25), Neuropsychiatric Inventory (NPI), Frontotemporal Dementia Rating Scale (FTD-FRS) and Clinical Dementia Rating scale (CDR). RESULTS The Brazilian version of the FTD-FRS seemed appropriate for use in this country. Preliminary results revealed greater levels of disability in bvFTD than in AD patients (bvFTD: 25% mild, 50% moderate and 25% severe; AD: 36.36% mild, 63.64% moderate). It appears that the CDR underrates disease severity in bvFTD since a relevant proportion of patients rated as having mild dementia (CDR=1.0) in fact had moderate or severe levels of disability according to the FTD-FRS. CONCLUSION The Brazilian version of the FTD-FRS seems suitable to aid staging and determining disease progression. PMID:29213863
Working ability in relation to disease severity, everyday occupations and well-being in women with limited systemic sclerosis.

PubMed

Sandqvist, G; Scheja, A; Eklund, M

2008-11-01

To investigate how women with SSc and varying degrees of working ability differed regarding disease severity, everyday occupations and well-being. Working ability was operationalized according to the degree of sick leave. Forty-four women of working age with lcSSc were assessed regarding sociodemographic characteristics, disease severity including organ manifestation, perceived physical symptoms, hand function, and satisfaction with everyday occupations, self-rated health and well-being. The subjects formed three groups with regard to reduction in working capacity. Twenty-one women (48%) had no sick leave, 15 women (34%) were on partial sick leave and eight women (18%) were temporarily on full-time sick leave or had a full disability pension. There were no statistically significant differences concerning sociodemographics between the groups. Women without sick leave had less physically demanding jobs (P = 0.026), and the hypothesis that working ability reflects lower disease severity was confirmed regarding dexterity grip force and perceived fatigue and breathlessness (P < 0.05). Greater working ability was associated with better capacity to perform activities of daily life (P < 0.01), greater satisfaction with occupations (P < 0.01), better well-being (P < 0.001) and better health (P < 0.001). Fifty per cent of the women were restricted in their working ability; the lower the working ability, the lower their perceived well-being. This emphasizes the need for further research into the factors that promote working ability and the development of suitable methods to improve working ability.
Are we comparing frontotemporal dementia and Alzheimer disease patients with the right measures?

PubMed Central

Deutsch, Mariel B.; Liang, Li-Jung; Jimenez, Elvira E.; Mather, Michelle J.; Mendez, Mario F.

2016-01-01

Background Clinical research studies of behavioral variant frontotemporal dementia (bvFTD) often use Alzheimer disease (AD) as a comparison group for control of dementia variables, using tests of cognitive function to match the groups. These two dementia syndromes, however, are very different in clinical manifestations, and the comparable severity of these dementias may not be reflected by commonly used cognitive scales such as the Mini-Mental State Examination (MMSE). Methods We evaluated different measures of dementia severity and symptoms among 20 people with bvFTD compared to 24 with early-onset AD. Results Despite similar ages, disease-duration, education, and cognitive performance on two tests of cognitive function, the MMSE and the Montreal Cognitive Assessment (MoCA), the bvFTD participants, compared to the AD participants, were significantly more impaired on other measures of disease severity, including function (Functional Assessment Questionnaire (FAQ)), neuropsychiatric symptoms (Neuropsychiatric Inventory (NPI)), and global dementia stage (Clinical Dementia Rating Scales (CDRs)). However, when we adjusted for the frontotemporal lobar degeneration-CDR (FTLD-CDR) in the analyses, the two dementia groups were comparable across all measures despite significant differences on the cognitive scales. Conclusion We found tests of cognitive functions (MMSE and MoCA) to be insufficient measures for ensuring comparability between bvFTD and AD groups. In clinical studies, the FTLD-CDR, which includes additional language and behavior items, may be a better overall way to match bvFTD and AD groups on dementia severity. PMID:27079571
Increased serum concentrations of Nɛ-carboxymethyllysine are related to the presence and the severity of rheumatoid arthritis.

PubMed

Knani, Ines; Bouzidi, Hassan; Zrour, Saoussen; Bergaoui, Naceur; Hammami, Mohamed; Kerkeni, Mohsen

2018-07-01

Background There are limited data regarding the contribution of advanced glycation end products in the presence of rheumatoid arthritis. We investigated whether serum N ɛ -carboxymethyllysine and pentosidine were related to the presence and the severity of rheumatoid arthritis. Methods Eighty patients with rheumatoid arthritis and 30 control subjects were included in a cross-sectional study. The severity of rheumatoid arthritis was assessed using the disease activity score for 28 joints. Serum N ɛ -carboxymethyllysine and pentosidine were measured by enzyme-linked immunosorbent assay. Results Serum N ɛ -carboxymethyllysine and pentosidine concentrations were significantly higher in patients with rheumatoid arthritis vs. control subjects ( P < 0.001). Serum N ɛ -carboxymethyllysine and pentosidine concentrations were significantly higher in rheumatoid arthritis patients with high disease activity vs. rheumatoid arthritis patients with moderate disease activity ( P < 0.001, P = 0.019, respectively). A multiple logistic regression analysis demonstrated that N ɛ -carboxymethyllysine was independently associated with the presence of rheumatoid arthritis (OR = 1.21, 95% CI: 1.05-1.39, P = 0.006). Furthermore, in a multivariate stepwise regression analysis, N ɛ -carboxymethyllysine was independently correlated with disease activity score for 28 joints (standardized β = 0.43, P = 0.001). Conclusion Serum N ɛ -carboxymethyllysine and pentosidine were increased during rheumatoid arthritis, and N ɛ -carboxymethyllysine was independently associated with the presence and the severity of rheumatoid arthritis.
Disease progression model for Clinical Dementia Rating–Sum of Boxes in mild cognitive impairment and Alzheimer’s subjects from the Alzheimer’s Disease Neuroimaging Initiative

PubMed Central

Samtani, Mahesh N; Raghavan, Nandini; Novak, Gerald; Nandy, Partha; Narayan, Vaibhav A

2014-01-01

Background The objective of this analysis was to develop a nonlinear disease progression model, using an expanded set of covariates that captures the longitudinal Clinical Dementia Rating Scale–Sum of Boxes (CDR–SB) scores. These were derived from the Alzheimer’s Disease Neuroimaging Initiative ADNI-1 study, of 301 Alzheimer’s disease and mild cognitive impairment patients who were followed for 2–3 years. Methods The model describes progression rate and baseline disease score as a function of covariates. The covariates that were tested fell into five groups: a) hippocampal volume; b) serum and cerebrospinal fluid (CSF) biomarkers; c) demographics and apolipoprotein Epsilon 4 (ApoE4) allele status; d) baseline cognitive tests; and e) disease state and comedications. Results Covariates associated with baseline disease severity were disease state, hippocampal volume, and comedication use. Disease progression rate was influenced by baseline CSF biomarkers, Trail-Making Test part A score, delayed logical memory test score, and current level of impairment as measured by CDR–SB. The rate of disease progression was dependent on disease severity, with intermediate scores around the inflection point score of 10 exhibiting high disease progression rate. The CDR–SB disease progression rate in a typical patient, with late mild cognitive impairment and mild Alzheimer’s disease, was estimated to be approximately 0.5 and 1.4 points/year, respectively. Conclusions In conclusion, this model describes disease progression in terms of CDR–SB changes in patients and its dependency on novel covariates. The CSF biomarkers included in the model discriminate mild cognitive impairment subjects as progressors and nonprogressors. Therefore, the model may be utilized for optimizing study designs, through patient population enrichment and clinical trial simulations. PMID:24926196
Baseline Severity as Predictor of Change in St George’s Respiratory Questionnaire Scores in Trials of Long-acting Bronchodilators with COPD Patients

PubMed Central

Jones, Paul W.; Gelhorn, Heather; Karlsson, Niklas; Menjoge, Shailendra; Müllerova, Hana; Rennard, Stephen I.; Tal-Singer, Ruth; Wilson, Hilary; Merrill, Debora; Tabberer, Maggie

2017-01-01

Background: In trials oflong-acting bronchodilators, health status is an important trial outcome, however the influence of baseline severity on response measured by St George’s Respiratory Questionnaire (SGRQ) is not known. We have compared SGRQ changes between patients with chronic obstructive pulmonary disease (COPD) of mild-moderate severity or dyspnea (Global initiative for chronic Obstructive Lung disease [GOLD] grades 1 and 2; modified Medical Research Council [mMRC] grades 1 and 2) to those with severe-very severe severity or dyspnea (GOLD grades 3 and 4; mMRC grades 3 and 4). Methods: Combined individual patient data from the COPD Biomarkers Qualification Consortium database (trials of long-acting bronchodilators) were used comprising of patients from short-term (≤1-year duration; n=10802) and medium-term (2-4 years’ duration; n=8963) studies. A repeated measures analysis of variance (ANOVA) was used to determine the effects of baseline severity (GOLD/mMRC) on SGRQ response to treatment. All treatment arms were combined. Results: In short-term studies, milder patients showed a greater response than those with more severe disease in terms of GOLD grade (partial Eta2 = 0.03, p < 0.0001) and mMRC grade (partial Eta2 = 0.05, p < 0.0001). Similar results were seen in the medium-term studies (partial Eta2 = 0.02, p < 0.0001; mMRC: partial Eta2 = 0.05, p < 0.0001,). Conclusions: Patients with less severe airflow limitation and less severe dyspnea showed larger improvements in SGRQ score than more severely obstructed or dyspneic patients. Although these severity influences are small (2%-5% of the variance in SGRQ score), they do suggest that pre-specified separate analyses are warranted to test for differences in response, based on baseline severity. PMID:28848922
Effects of damping-off caused by Rhizoctonia solani anastomosis group 2-1 on roots of wheat and oil seed rape quantified using X-ray Computed Tomography and real-time PCR

PubMed Central

Sturrock, Craig J.; Woodhall, James; Brown, Matthew; Walker, Catherine; Mooney, Sacha J.; Ray, Rumiana V.

2015-01-01

Rhizoctonia solani is a plant pathogenic fungus that causes significant establishment and yield losses to several important food crops globally. This is the first application of high resolution X-ray micro Computed Tomography (X-ray μCT) and real-time PCR to study host–pathogen interactions in situ and elucidate the mechanism of Rhizoctonia damping-off disease over a 6-day period caused by R. solani, anastomosis group (AG) 2-1 in wheat (Triticum aestivum cv. Gallant) and oil seed rape (OSR, Brassica napus cv. Marinka). Temporal, non-destructive analysis of root system architectures was performed using RooTrak and validated by the destructive method of root washing. Disease was assessed visually and related to pathogen DNA quantification in soil using real-time PCR. R. solani AG2-1 at similar initial DNA concentrations in soil was capable of causing significant damage to the developing root systems of both wheat and OSR. Disease caused reductions in primary root number, root volume, root surface area, and convex hull which were affected less in the monocotyledonous host. Wheat was more tolerant to the pathogen, exhibited fewer symptoms and developed more complex root systems. In contrast, R. solani caused earlier damage and maceration of the taproot of the dicot, OSR. Disease severity was related to pathogen DNA accumulation in soil only for OSR, however, reductions in root traits were significantly associated with both disease and pathogen DNA. The method offers the first steps in advancing current understanding of soil-borne pathogen behavior in situ at the pore scale, which may lead to the development of mitigation measures to combat disease influence in the field. PMID:26157449
Effects of damping-off caused by Rhizoctonia solani anastomosis group 2-1 on roots of wheat and oil seed rape quantified using X-ray Computed Tomography and real-time PCR.

PubMed

Sturrock, Craig J; Woodhall, James; Brown, Matthew; Walker, Catherine; Mooney, Sacha J; Ray, Rumiana V

2015-01-01

Rhizoctonia solani is a plant pathogenic fungus that causes significant establishment and yield losses to several important food crops globally. This is the first application of high resolution X-ray micro Computed Tomography (X-ray μCT) and real-time PCR to study host-pathogen interactions in situ and elucidate the mechanism of Rhizoctonia damping-off disease over a 6-day period caused by R. solani, anastomosis group (AG) 2-1 in wheat (Triticum aestivum cv. Gallant) and oil seed rape (OSR, Brassica napus cv. Marinka). Temporal, non-destructive analysis of root system architectures was performed using RooTrak and validated by the destructive method of root washing. Disease was assessed visually and related to pathogen DNA quantification in soil using real-time PCR. R. solani AG2-1 at similar initial DNA concentrations in soil was capable of causing significant damage to the developing root systems of both wheat and OSR. Disease caused reductions in primary root number, root volume, root surface area, and convex hull which were affected less in the monocotyledonous host. Wheat was more tolerant to the pathogen, exhibited fewer symptoms and developed more complex root systems. In contrast, R. solani caused earlier damage and maceration of the taproot of the dicot, OSR. Disease severity was related to pathogen DNA accumulation in soil only for OSR, however, reductions in root traits were significantly associated with both disease and pathogen DNA. The method offers the first steps in advancing current understanding of soil-borne pathogen behavior in situ at the pore scale, which may lead to the development of mitigation measures to combat disease influence in the field.
Exercise for falls prevention in Parkinson disease

PubMed Central

Sherrington, Catherine; Lord, Stephen R.; Close, Jacqueline C.T.; Heritier, Stephane; Heller, Gillian Z.; Howard, Kirsten; Allen, Natalie E.; Latt, Mark D.; Murray, Susan M.; O'Rourke, Sandra D.; Paul, Serene S.; Song, Jooeun; Fung, Victor S.C.

2015-01-01

Objective: To determine whether falls can be prevented with minimally supervised exercise targeting potentially remediable fall risk factors, i.e., poor balance, reduced leg muscle strength, and freezing of gait, in people with Parkinson disease. Methods: Two hundred thirty-one people with Parkinson disease were randomized into exercise or usual-care control groups. Exercises were practiced for 40 to 60 minutes, 3 times weekly for 6 months. Primary outcomes were fall rates and proportion of fallers during the intervention period. Secondary outcomes were physical (balance, mobility, freezing of gait, habitual physical activity), psychological (fear of falling, affect), and quality-of-life measures. Results: There was no significant difference between groups in the rate of falls (incidence rate ratio [IRR] = 0.73, 95% confidence interval [CI] 0.45–1.17, p = 0.18) or proportion of fallers (p = 0.45). Preplanned subgroup analysis revealed a significant interaction for disease severity (p < 0.001). In the lower disease severity subgroup, there were fewer falls in the exercise group compared with controls (IRR = 0.31, 95% CI 0.15–0.62, p < 0.001), while in the higher disease severity subgroup, there was a trend toward more falls in the exercise group (IRR = 1.61, 95% CI 0.86–3.03, p = 0.13). Postintervention, the exercise group scored significantly (p < 0.05) better than controls on the Short Physical Performance Battery, sit-to-stand, fear of falling, affect, and quality of life, after adjusting for baseline performance. Conclusions: An exercise program targeting balance, leg strength, and freezing of gait did not reduce falls but improved physical and psychological health. Falls were reduced in people with milder disease but not in those with more severe Parkinson disease. Classification of evidence: This study provides Class III evidence that for patients with Parkinson disease, a minimally supervised exercise program does not reduce fall risk. This study lacked the precision to exclude a moderate reduction or modest increase in fall risk from exercise. Trial registration: Australian New Zealand Clinical Trials Registry (ACTRN12608000303347). PMID:25552576
Disease in marine aquaculture

NASA Astrophysics Data System (ADS)

Sindermann, C. J.

1984-03-01

It has become almost a truism that success in intensive production of animals must be based in part on development of methods for disease diagnosis and control. Excellent progress has been made in methods of diagnosis for major pathogens of cultivated fish, crustacean and molluscan species. In many instances these have proved to be facultative pathogens, able to exert severe effects in populations of animals under other stresses (marginal physical or chemical conditions; overcrowding). The concept of stress management as a critical prophylactic measure is not new, but its significance is being demonstrated repeatedly. The particular relationship of water quality and facultative pathogens such as Vibrio, Pseudomonas and Aeromonas species has been especially apparent. Virus diseases of marine vertebrates and invertebrates — little known two decades ago — are now recognized to be of significance to aquaculture. Virus infections of oysters, clams, shrimps and crabs have been described, and mortalities have been attributed to them. Several virus diseases of fish have also been recognized as potential or actual problems in culture. In some instances, the pathogens seem to be latent in natural populations, and may be provoked into patency by stresses of artificial environments. One of the most promising approaches to disease prophylaxis is through immunization. Fish respond well to various vaccination procedures, and new non-stressing methods have been developed. Vibriosis — probably the most severe disease of ocean-reared salmon — has been controlled to a great extent through use of a polyvalent bacterin, which can be modified as new pathogenic strains are isolated. Prophylactic immunization for other bacterial diseases of cultivated fish has been attempted, especially in Japan, with some success. There is also some evidence that the larger crustaceans may be immunologically responsive, and that at least short-term protection may be afforded to cultured populations. Some progress has been made in marine disease control through chemical treatment in intensive culture systems, principally through application and modification of methods developed for freshwater aquaculture. Major constraints to use of chemicals are restrictions due to public health concerns about food contamination, and the negative effects of some chemicals on biological filters and on algal food production. There is a continuing need, however, for development of specific treatments for acute disease episodes — such as the nitrofurans, developed in Japan, which are effective for some bacterial diseases. The history of aquaculture — freshwater as well as marine — has been characterized by transfers and introductions of species to waters beyond their present ranges. The process continues, and carries with it the possibility of transfers of pathogens to native species and to the recipient culture environments. International groups are attempting to define codes of practice to govern such mass movements, but examples of introductions of real or potential pathogens already exist. The most recent and the most dramatic is the world wide transfer of a virus pathogen of penaeid shrimps. Earlier examples include the introduction of a protozoan pathogen of salmonids to the western hemisphere, and the introduction of a parasitic copepod from the Far East to the west coast of North America and to France. The conclusion is inevitable — diseases are substantial deterrents to aquaculture production. Diagnostic and control procedures are and will be important components of emerging aquaculture technology.
Adjusting for treatment switching in randomised controlled trials - A simulation study and a simplified two-stage method.

PubMed

Latimer, Nicholas R; Abrams, K R; Lambert, P C; Crowther, M J; Wailoo, A J; Morden, J P; Akehurst, R L; Campbell, M J

2017-04-01

Estimates of the overall survival benefit of new cancer treatments are often confounded by treatment switching in randomised controlled trials (RCTs) - whereby patients randomised to the control group are permitted to switch onto the experimental treatment upon disease progression. In health technology assessment, estimates of the unconfounded overall survival benefit associated with the new treatment are needed. Several switching adjustment methods have been advocated in the literature, some of which have been used in health technology assessment. However, it is unclear which methods are likely to produce least bias in realistic RCT-based scenarios. We simulated RCTs in which switching, associated with patient prognosis, was permitted. Treatment effect size and time dependency, switching proportions and disease severity were varied across scenarios. We assessed the performance of alternative adjustment methods based upon bias, coverage and mean squared error, related to the estimation of true restricted mean survival in the absence of switching in the control group. We found that when the treatment effect was not time-dependent, rank preserving structural failure time models (RPSFTM) and iterative parameter estimation methods produced low levels of bias. However, in the presence of a time-dependent treatment effect, these methods produced higher levels of bias, similar to those produced by an inverse probability of censoring weights method. The inverse probability of censoring weights and structural nested models produced high levels of bias when switching proportions exceeded 85%. A simplified two-stage Weibull method produced low bias across all scenarios and provided the treatment switching mechanism is suitable, represents an appropriate adjustment method.
HIPS: A new hippocampus subfield segmentation method.

PubMed

Romero, José E; Coupé, Pierrick; Manjón, José V

2017-12-01

The importance of the hippocampus in the study of several neurodegenerative diseases such as Alzheimer's disease makes it a structure of great interest in neuroimaging. However, few segmentation methods have been proposed to measure its subfields due to its complex structure and the lack of high resolution magnetic resonance (MR) data. In this work, we present a new pipeline for automatic hippocampus subfield segmentation using two available hippocampus subfield delineation protocols that can work with both high and standard resolution data. The proposed method is based on multi-atlas label fusion technology that benefits from a novel multi-contrast patch match search process (using high resolution T1-weighted and T2-weighted images). The proposed method also includes as post-processing a new neural network-based error correction step to minimize systematic segmentation errors. The method has been evaluated on both high and standard resolution images and compared to other state-of-the-art methods showing better results in terms of accuracy and execution time. Copyright © 2017 Elsevier Inc. All rights reserved.
Early Detection Of Breast Cancer using Post-Translationally Modified Biomarkers

DTIC Science & Technology

2012-03-01

methods are widely used to screen many potential diseases based on changes in blood proteins. Changes in proteins identified by proteomic studies are...suggest that circulating PTM levels can be used as a biomarker for endothelial cell dysfunction, which is of concern in several human diseases . We have...plasmid expressing the wild type PTENP1 3’UTR (pGLU/ψ3’UTR) or the 3’UTR in which the seed matches of the 5 PTEN-targeting microRNAs have been
[Inpatients days in patients with respiratory diseases and periodontal disease].

PubMed

Fernández-Plata, Rosario; Olmedo-Torres, Daniel; Martínez-Briseño, David; González-Cruz, Herminia; Casa-Medina, Guillermo; García-Sancho, Cecilia

2017-01-01

Periodontal disease is a chronic inflammatory gingival process that has been associated with the severity of respiratory diseases. In Mexico a prevalence of 78% was found in population with social security and > 60 years old. The aim of this study is to establish the association between periodontal disease and respiratory diseases according to the inpatient days. A cross-sectional study was conducted from January to December 2011. We included hospitalized patients, ≥ 18 years of age, without sedation or intubated. A dentist classified patients into two groups according to the severity of the periodontal disease: mild-to-moderate and severe. We estimated medians of inpatient days by disease and severity. Negative binomial models were adjusted to estimate incidence rate ratios and predicted inpatient days. 3,059 patients were enrolled. The median of observed and predicted inpatient days was higher in the group of severe periodontal disease (p < 0.05). Patients with chronic obstructive pulmonary disease, tuberculosis, and influenza had the highest incidence rates ratios of periodontal disease (p < 0.05). The severity of periodontal disease is positively -associated with inpatient days of patients with respiratory diseases.
Cancer genetics meets biomolecular mechanism-bridging an age-old gulf.

PubMed

González-Sánchez, Juan Carlos; Raimondi, Francesco; Russell, Robert B

2018-02-01

Increasingly available genomic sequencing data are exploited to identify genes and variants contributing to diseases, particularly cancer. Traditionally, methods to find such variants have relied heavily on allele frequency and/or familial history, often neglecting to consider any mechanistic understanding of their functional consequences. Thus, while the set of known cancer-related genes has increased, for many, their mechanistic role in the disease is not completely understood. This issue highlights a wide gap between the disciplines of genetics, which largely aims to correlate genetic events with phenotype, and molecular biology, which ultimately aims at a mechanistic understanding of biological processes. Fortunately, new methods and several systematic studies have proved illuminating for many disease genes and variants by integrating sequencing with mechanistic data, including biomolecular structures and interactions. These have provided new interpretations for known mutations and suggested new disease-relevant variants and genes. Here, we review these approaches and discuss particular examples where these have had a profound impact on the understanding of human cancers. © 2018 Federation of European Biochemical Societies.
[Current status and clinical application prospect of Akabane's test].

PubMed

Wang, Wenjie; Du, Yanjun

2016-06-12

The Akabane's test is one of the meridian diagnostic methods. Compared with the current meridian diagnostic methods, it has the advantages of convenience and efficiency, but it also has several disadvantages such as the accuracy is difficult to control, the outcome interpretation is limited, etc. In this paper, the influence factors of Akabane's test were analyzed one by one, especially proposed personal opinion on outcome interpretation, which could ascertain the location and nature of disease, leading to disease syndrome. With accurate syndrome, the treatment plan could be established. The application prospect of Akabane's test was initially explored, and it was proposed that wearable automation equipment could be one of the development directions.
Approximate analytical modeling of leptospirosis infection

NASA Astrophysics Data System (ADS)

Ismail, Nur Atikah; Azmi, Amirah; Yusof, Fauzi Mohamed; Ismail, Ahmad Izani

2017-11-01

Leptospirosis is an infectious disease carried by rodents which can cause death in humans. The disease spreads directly through contact with feces, urine or through bites of infected rodents and indirectly via water contaminated with urine and droppings from them. Significant increase in the number of leptospirosis cases in Malaysia caused by the recent severe floods were recorded during heavy rainfall season. Therefore, to understand the dynamics of leptospirosis infection, a mathematical model based on fractional differential equations have been developed and analyzed. In this paper an approximate analytical method, the multi-step Laplace Adomian decomposition method, has been used to conduct numerical simulations so as to gain insight on the spread of leptospirosis infection.
ELISA Methods for the Detection of Ebolavirus Infection.

PubMed

Cross, Robert W; Ksiazek, Thomas G

2017-01-01

Ebola viruses are high-priority pathogens first discovered in rural Africa associated with sporadic outbreaks of severe hemorrhagic disease in humans and nonhuman primates. Little is known about the disease ecology or the prevalence of past exposure of human populations to any of the five species of the genus Ebolavirus. The use of immunologic means of detection for either virus antigens or the host's immune response to antigen associated with prior infections offers a powerful approach at understanding the epidemiology and epizootiology of these agents. Here we describe methods for preparing antigen detection sandwich enzyme-linked immunosorbent assays (ELISAs) as well as IgG and IgM ELISAs for the detection of ebolavirus antigens or antibodies in biological samples.

Combining Magnetic Resonance Imaging (MRI) and Medical Infrared Thermography (MIT) in the pre- and per-operating management of severe Hidradenitis Suppurativa (HS).

PubMed

Derruau, Stéphane; Renard, Yohann; Pron, Hervé; Taiar, Redha; Abdi, Ellie; Polidori, Guillaume; Lorimier, Sandrine

2018-05-12

Hidradenitis suppurativa (HS) is a chronic, inflammatory, and recurrent skin disease. Surgical excision of wounds appears to be the only curative treatment for the prevention of recurrence of moderate to severe stages. Magnetic resonance imaging (MRI) is a standard reference examination for the detection of HS peri-anal inflammatory fistula. In this case study, the use of real-time medical infrared thermography, in combination with MRI as appropriate imaging, is proposed. The aim is to assist surgeons in the pre- and peri-surgical management of severe perianal hidradenitis suppurativa with the intent to ensure that all diseased lesions were removed during surgery and therefore to limit recurrence. The results show that medical infrared thermography (MIT), coupled with MRI, could be highly effective strategy to address thermally distinguished health tissues and inflammatory sites during excision, as characterised by differential increases in temperature. Medical infrared thermography could be used to check the total excision of inflammatory lesions as a noninvasive method that is not painful, not radiant, and is easily transportable during surgery. Ultimately, this method could be complementary with MRI in providing clinicians with objective data on the status of tissues below the perianal skin surface in the pre- and per-operating management of severe hidradenitis suppurativa. Copyright © 2018 Elsevier B.V. All rights reserved.
The Global Burden of Occupational Disease.

PubMed

Rushton, Lesley

2017-09-01

Burden of occupational disease estimation contributes to understanding of both magnitude and relative importance of different occupational hazards and provides essential information for targeting risk reduction. This review summarises recent key findings and discusses their impact on occupational regulation and practice. New methods have been developed to estimate burden of occupational disease that take account of the latency of many chronic diseases and allow for exposure trends and workforce turnover. Results from these studies have shown in several countries and globally that, in spite of improvements in workplace technology, practices and exposures over the last decades, occupational hazards remain an important cause of ill health and mortality worldwide. Major data gaps have been identified particularly regarding exposure information. Reliable data on employment and disease are also lacking especially in developing countries. Burden of occupational disease estimates form an important part of decision-making processes.
A computational method for drug repositioning using publicly available gene expression data.

PubMed

Shabana, K M; Abdul Nazeer, K A; Pradhan, Meeta; Palakal, Mathew

2015-01-01

The identification of new therapeutic uses of existing drugs, or drug repositioning, offers the possibility of faster drug development, reduced risk, lesser cost and shorter paths to approval. The advent of high throughput microarray technology has enabled comprehensive monitoring of transcriptional response associated with various disease states and drug treatments. This data can be used to characterize disease and drug effects and thereby give a measure of the association between a given drug and a disease. Several computational methods have been proposed in the literature that make use of publicly available transcriptional data to reposition drugs against diseases. In this work, we carry out a data mining process using publicly available gene expression data sets associated with a few diseases and drugs, to identify the existing drugs that can be used to treat genes causing lung cancer and breast cancer. Three strong candidates for repurposing have been identified- Letrozole and GDC-0941 against lung cancer, and Ribavirin against breast cancer. Letrozole and GDC-0941 are drugs currently used in breast cancer treatment and Ribavirin is used in the treatment of Hepatitis C.
Endotoxin Neutralization as a Biomonitor for Inflammatory Bowel Disease

PubMed Central

Champion, Keith; Chiu, Laura; Ferbas, John; Pepe, Michael

2013-01-01

Gram-negative bacterial endotoxin is a potent immunostimulant implicated in the development and/or progression of a variety of diseases. The mammalian immune system has both innate and adaptive immune responses to neutralize endotoxin. In this study, a system was developed to monitor bacterial exposure by measuring the extent and nature of endotoxin neutralization in plasma. In control patients, females had higher levels of endotoxin neutralization than males, mirroring clinical outcomes from bacterial infection and sepsis. In addition to the total amount of neutralization, we used inactivation techniques to elucidate the nature of this activity and develop a system to compare early and late immune responses. Using this method to monitor patients with inflammatory bowel disease, we found a more robust total response that relies more on long-term, adaptive components of the immune system and less on early, innate components. Our results indicate that endotoxin neutralization is a valuable method to discern inflammatory bowel disease patients from a control population. Additionally, the nature of neutralization may be valuable in monitoring disease severity and/or the role of medication. PMID:23826338
State-of-the-Art Fluorescence Fluctuation-Based Spectroscopic Techniques for the Study of Protein Aggregation

PubMed Central

Kinjo, Masataka

2018-01-01

Neurodegenerative diseases, including amyotrophic lateral sclerosis (ALS), Alzheimer’s disease, Parkinson’s disease, and Huntington’s disease, are devastating proteinopathies with misfolded protein aggregates accumulating in neuronal cells. Inclusion bodies of protein aggregates are frequently observed in the neuronal cells of patients. Investigation of the underlying causes of neurodegeneration requires the establishment and selection of appropriate methodologies for detailed investigation of the state and conformation of protein aggregates. In the current review, we present an overview of the principles and application of several methodologies used for the elucidation of protein aggregation, specifically ones based on determination of fluctuations of fluorescence. The discussed methods include fluorescence correlation spectroscopy (FCS), imaging FCS, image correlation spectroscopy (ICS), photobleaching ICS (pbICS), number and brightness (N&B) analysis, super-resolution optical fluctuation imaging (SOFI), and transient state (TRAST) monitoring spectroscopy. Some of these methodologies are classical protein aggregation analyses, while others are not yet widely used. Collectively, the methods presented here should help the future development of research not only into protein aggregation but also neurodegenerative diseases. PMID:29570669
Standard methods for fungal brood disease research

PubMed Central

Jensen, Annette Bruun; Aronstein, Kathrine; Flores, José Manuel; Vojvodic, Svjetlana; Palacio, María Alejandra; Spivak, Marla

2013-01-01

Summary Chalkbrood and stonebrood are two fungal diseases associated with honey bee brood. Chalkbrood, caused by Ascosphaera apis, is a common and widespread disease that can result in severe reduction of emerging worker bees and thus overall colony productivity. Stonebrood is caused by Aspergillus spp. that are rarely observed, so the impact on colony health is not very well understood. A major concern with the presence of Aspergillus in honey bees is the production of airborne conidia, which can lead to allergic bronchopulmonary aspergillosis, pulmonary aspergilloma, or even invasive aspergillosis in lung tissues upon inhalation by humans. In the current chapter we describe the honey bee disease symptoms of these fungal pathogens. In addition, we provide research methodologies and protocols for isolating and culturing, in vivo and in vitro assays that are commonly used to study these host pathogen interactions. We give guidelines on the preferred methods used in current research and the application of molecular techniques. We have added photographs, drawings and illustrations to assist bee-extension personnel and bee scientists in the control of these two diseases. PMID:24198438
Osteoarthritis: new insights in animal models.

PubMed

Longo, Umile Giuseppe; Loppini, Mattia; Fumo, Caterina; Rizzello, Giacomo; Khan, Wasim Sardar; Maffulli, Nicola; Denaro, Vincenzo

2012-01-01

Osteoarthritis (OA) is the most frequent and symptomatic health problem in the middle-aged and elderly population, with over one-half of all people over the age of 65 showing radiographic changes in painful knees. The aim of the present study was to perform an overview on the available animal models used in the research field on the OA. Discrepancies between the animal models and the human disease are present. As regards human 'idiopathic' OA, with late onset and slow progression, it is perhaps wise not to be overly enthusiastic about animal models that show severe chondrodysplasia and very early OA. Advantage by using genetically engineered mouse models, in comparison with other surgically induced models, is that molecular etiology is known. Find potential molecular markers for the onset of the disease and pay attention to the role of gender and environmental factors should be very helpful in the study of mice that acquire premature OA. Surgically induced destabilization of joint is the most widely used induction method. These models allow the temporal control of disease induction and follow predictable progression of the disease. In animals, ACL transection and meniscectomy show a speed of onset and severity of disease higher than in humans after same injury.
Genome-wide association study for Crohn's disease in the Quebec Founder Population identifies multiple validated disease loci.

PubMed

Raelson, John V; Little, Randall D; Ruether, Andreas; Fournier, Hélène; Paquin, Bruno; Van Eerdewegh, Paul; Bradley, W E C; Croteau, Pascal; Nguyen-Huu, Quynh; Segal, Jonathan; Debrus, Sophie; Allard, René; Rosenstiel, Philip; Franke, Andre; Jacobs, Gunnar; Nikolaus, Susanna; Vidal, Jean-Michel; Szego, Peter; Laplante, Nathalie; Clark, Hilary F; Paulussen, René J; Hooper, John W; Keith, Tim P; Belouchi, Abdelmajid; Schreiber, Stefan

2007-09-11

Genome-wide association (GWA) studies offer a powerful unbiased method for the identification of multiple susceptibility genes for complex diseases. Here we report the results of a GWA study for Crohn's disease (CD) using family trios from the Quebec Founder Population (QFP). Haplotype-based association analyses identified multiple regions associated with the disease that met the criteria for genome-wide significance, with many containing a gene whose function appears relevant to CD. A proportion of these were replicated in two independent German Caucasian samples, including the established CD loci NOD2 and IBD5. The recently described IL23R locus was also identified and replicated. For this region, multiple individuals with all major haplotypes in the QFP were sequenced and extensive fine mapping performed to identify risk and protective alleles. Several additional loci, including a region on 3p21 containing several plausible candidate genes, a region near JAKMIP1 on 4p16.1, and two larger regions on chromosome 17 were replicated. Together with previously published loci, the spectrum of CD genes identified to date involves biochemical networks that affect epithelial defense mechanisms, innate and adaptive immune response, and the repair or remodeling of tissue.
[Bone and joint decade--"mile step" in diagnostics and treatment of movement system diseases?].

PubMed

Brongel, Leszek; Lorkowski, Jacek; Hładki, Waldemar; Trybus, Marek

2006-01-01

Musculoskeletal disorders affect hundreds of millions of people across the world and are the most common causes of severe long-term pain and physical disability. The impact from such disorders on the individual and on society let to propose by WHO for the Decade of the Bone and Joint from 2000 to 2010. The goal of the Decade is to improve the health-related quality of life for people with musculoskeletal disorders throughout the world and this could be achieved by raising awareness of the growing burden of bone and joint diseases on society, promoting prevention and treatment and advancing understanding of musculoskeletal disorders through research. The main fields of interest during the Decade are joint diseases, spinal disorders and low back pain, osteoporosis and severe trauma of the extremities. In our Department we study problems concerning on traumatology of old patients, multitrauma injury, biomechanics in spinal disorders, in degenerative joint disease and foot diseases. Apart from contemporary imaging methods like US or CT we use pedobarographic diagnostics and fotogrammetric examination. In this study we present strategic goals and the summary of our ongoing projects in our Department related to the goals of the Bone and Joint Decade.
Computer-based objective quantitative assessment of pulmonary parenchyma via x-ray CT

NASA Astrophysics Data System (ADS)

Uppaluri, Renuka; McLennan, Geoffrey; Sonka, Milan; Hoffman, Eric A.

1998-07-01

This paper is a review of our recent studies using a texture- based tissue characterization method called the Adaptive Multiple Feature Method. This computerized method is automated and performs tissue classification based upon the training acquired on a set of representative examples. The AMFM has been applied to several different discrimination tasks including normal subjects, subjects with interstitial lung disease, smokers, asbestos-exposed subjects, and subjects with cystic fibrosis. The AMFM has also been applied to data acquired using different scanners and scanning protocols. The AMFM has shown to be successful and better than other existing techniques in discriminating the tissues under consideration. We demonstrate that the AMFM is considerably more sensitive and specific in characterizing the lung, especially in the presence of mixed pathology, as compared to more commonly used methods. Evidence is presented suggesting that the AMFM is highly sensitive to some of the earliest disease processes.
Variations in the pre-operative status of patients coming to primary hip replacement for osteoarthritis in European orthopaedic centres

PubMed Central

Dieppe, Paul; Judge, Andrew; Williams, Susan; Ikwueke, Ifeoma; Guenther, Klaus-Peter; Floeren, Markus; Huber, Joerg; Ingvarsson, Thorvaldur; Learmonth, Ian; Lohmander, L Stefan; Nilsdotter, Anna; Puhl, Wofhart; Rowley, David; Thieler, Robert; Dreinhoefer, Karsten

2009-01-01

Background Total hip joint replacement (THR) is a high volume, effective intervention for hip osteoarthritis (OA). However, indications and determinants of outcome remain unclear. The 'EUROHIP consortium' has undertaken a cohort study to investigate these questions. This paper describes the variations in disease severity in this cohort and the relationships between clinical and radiographic severity, and explores some of the determinants of variation. Methods A minimum of 50 consecutive, consenting patients coming to primary THR for primary hip OA in each of the 20 participating orthopaedic centres entered the study. Pre-operative data included demographics, employment and educational attainment, drug utilisation, and involvement of other joints. Each subject completed the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC – Likert version 3.1). Other data collected at the time of surgery included the prosthesis used and American Society of Anaesthesiologists (ASA) status. Pre-operative radiographs were read by the same three readers for Kellgren and Lawrence (K&L) grading and Osteoarthritis Research Society International (OARSI) atlas features. Regression analyses were carried out. Results Data from 1327 subjects has been analysed. The mean age of the group was 65.7 years, and there were more women (53.4%) than men. Most (79%) were ASA status 1 or 2. Reported disease duration was 5 years or less in 69.2%. Disease in other joint sites was common. Radiographs were available in 1051 subjects and the K&L grade was 3 or 4 in 95.8%. There was much more variation in clinical severity (WOMAC score); the mean total WOMAC score was 59.2 (SD 16.1). The radiographic severity showed no correlation with WOMAC scores. Significantly higher WOMAC scores (worse disease) were seen in older people, women, those with obesity, those with worse general health, and those with lower educational attainment. Conclusion 1. Clinical disease severity varies widely at the time of THR for OA. 2. In advanced hip OA clinical severity shows no correlation with radiographic severity. 3. Simple scores of pain and disability do not reflect the complexity of decision-making about who should have a THR. PMID:19208230
Integrative analysis of transcriptomic and metabolomic data via sparse canonical correlation analysis with incorporation of biological information.

PubMed

Safo, Sandra E; Li, Shuzhao; Long, Qi

2018-03-01

Integrative analysis of high dimensional omics data is becoming increasingly popular. At the same time, incorporating known functional relationships among variables in analysis of omics data has been shown to help elucidate underlying mechanisms for complex diseases. In this article, our goal is to assess association between transcriptomic and metabolomic data from a Predictive Health Institute (PHI) study that includes healthy adults at a high risk of developing cardiovascular diseases. Adopting a strategy that is both data-driven and knowledge-based, we develop statistical methods for sparse canonical correlation analysis (CCA) with incorporation of known biological information. Our proposed methods use prior network structural information among genes and among metabolites to guide selection of relevant genes and metabolites in sparse CCA, providing insight on the molecular underpinning of cardiovascular disease. Our simulations demonstrate that the structured sparse CCA methods outperform several existing sparse CCA methods in selecting relevant genes and metabolites when structural information is informative and are robust to mis-specified structural information. Our analysis of the PHI study reveals that a number of gene and metabolic pathways including some known to be associated with cardiovascular diseases are enriched in the set of genes and metabolites selected by our proposed approach. © 2017, The International Biometric Society.
Extensive respiratory chain defects in inhibitory interneurones in patients with mitochondrial disease

PubMed Central

Lax, Nichola Z.; Grady, John; Laude, Alex; Chan, Felix; Hepplewhite, Philippa D.; Gorman, Grainne; Whittaker, Roger G.; Ng, Yi; Cunningham, Mark O.

2015-01-01

Aims Mitochondrial disorders are among the most frequently inherited cause of neurological disease and arise due to mutations in mitochondrial or nuclear DNA. Currently, we do not understand the specific involvement of certain brain regions or selective neuronal vulnerability in mitochondrial disease. Recent studies suggest γ‐aminobutyric acid (GABA)‐ergic interneurones are particularly susceptible to respiratory chain dysfunction. In this neuropathological study, we assess the impact of mitochondrial DNA defects on inhibitory interneurones in patients with mitochondrial disease. Methods Histochemical, immunohistochemical and immunofluorescent assays were performed on post‐mortem brain tissue from 10 patients and 10 age‐matched control individuals. We applied a quantitative immunofluorescent method to interrogate complex I and IV protein expression in mitochondria within GABAergic interneurone populations in the frontal, temporal and occipital cortices. We also evaluated the density of inhibitory interneurones in serial sections to determine if cell loss was occurring. Results We observed significant, global reductions in complex I expression within GABAergic interneurones in frontal, temporal and occipital cortices in the majority of patients. While complex IV expression is more variable, there is reduced expression in patients harbouring m.8344A>G point mutations and POLG mutations. In addition to the severe respiratory chain deficiencies observed in remaining interneurones, quantification of GABAergic cell density showed a dramatic reduction in cell density suggesting interneurone loss. Conclusions We propose that the combined loss of interneurones and severe respiratory deficiency in remaining interneurones contributes to impaired neuronal network oscillations and could underlie development of neurological deficits, such as cognitive impairment and epilepsy, in mitochondrial disease. PMID:25786813
Plantar pressures in children with and without sever's disease.

PubMed

Becerro de Bengoa Vallejo, Ricardo; Losa Iglesias, Marta Elena; Rodríguez Sanz, David; Prados Frutos, Juan Carlos; Salvadores Fuentes, Paloma; Chicharro, José López

2011-01-01

a case-control study was conducted to compare static plantar pressures and distribution of body weight across the two lower limbs, as well as the prevalence of gastrocnemius soleus equinus, in children with and without calcaneal apophysitis (Sever's disease). the participants were 54 boys enrolled in a soccer academy, of which eight were lost to follow-up. Twenty-two boys with unilateral Sever's disease comprised the Sever's disease group and 24 healthy boys constituted a control group. Plantar pressure data were collected using pedobarography, and gastrocnemius soleus equinus was assessed. peak pressure and percentage of body weight supported were significantly higher in the symptomatic feet of the Sever's disease group than in the asymptomatic feet of the Sever's disease group and the control group. Every child in the Sever's disease group had bilateral gastrocnemius equinus, while nearly all children in the control group had no equinus. high plantar foot pressures are associated with Sever's disease, although it is unclear whether they are a predisposing factor or a result of the condition. Gastrocnemius equinus may be a predisposing factor for Sever's disease. Further research is needed to identify other factors involved in the disease and to better understand the factors that contribute to abnormal distribution of body weight in the lower limbs.
Comparison of Doppler and oscillometric ankle blood pressure measurement in patients with angiographically documented lower extremity arterial occlusive disease.

PubMed

Nukumizu, Yoshihito; Matsushita, Masahiro; Sakurai, Tsunehisa; Kobayashi, Masayoshi; Nishikimi, Naomichi; Komori, Kimihiro

2007-01-01

To assess the reliability of the oscillometric method in patients with peripheral vascular disease, ankle blood pressure measurement by Doppler and oscillometry was compared. This study represents a prospective, non-blinded examination of pressure measurements in 168 patients. Twenty-two patients were included who had abdominal aortic aneurysms (AAA) and 146 had peripheral arterial occlusive disease (PAOD). Patients with PAOD were divided into 2 groups according to angiography results: a crural artery occlusion group (CAO, n = 32), and a no crural artery occlusion group (NCAO, n = 114). All subjects underwent pressure measurement by both Doppler and oscillometry. The correlation coefficient was 0.928 in AAA patients and 0.922 in PAOD patients. In CAO patients, there were significantly fewer patients whose oscillometric pressure was equivalent to the Doppler pressure (DP), as compared to NCAO patients, because the oscillometric pressure (OP) was 10% higher than DP in 44% of CAO patients. A high correlation exists between Doppler and oscillometric ankle pressure measurements irrespective of the type of vascular disease. However, the oscillometric method could not be substituted for the Doppler method completely, because there were several patients whose OP was greater than DP especially in those with crural artery occlusive disease.
Liver fibrosis markers of nonalcoholic steatohepatitis

PubMed Central

Enomoto, Hirayuki; Bando, Yukihiro; Nakamura, Hideji; Nishiguchi, Shuhei; Koga, Masafumi

2015-01-01

Nonalcoholic fatty liver disease (NAFLD) is one of the major causes of chronic liver injury. NAFLD includes a wide range of clinical conditions from simple steatosis to nonalcoholic steatohepatitis (NASH), advanced fibrosis, and liver cirrhosis. The histological findings of NASH indicate hepatic steatosis and inflammation with characteristic hepatocyte injury (e.g., ballooning degeneration), as is observed in the patients with alcoholic liver disease. NASH is considered to be a potentially health-threatening disease that can progress to cirrhosis. A liver biopsy remains the most reliable diagnostic method to appropriately diagnose NASH, evaluate the severity of liver fibrosis, and determine the prognosis and optimal treatment. However, this invasive technique is associated with several limitations in routine use, and a number of biomarkers have been developed in order to predict the degree of liver fibrosis. In the present article, we review the current status of noninvasive biomarkers available to estimate liver fibrosis in the patients with NASH. We also discuss our recent findings on the use of the glycated albumin-to-glycated hemoglobin ratio, which is a new index that correlates to various chronic liver diseases, including NASH. PMID:26139988
Liver fibrosis markers of nonalcoholic steatohepatitis.

PubMed

Enomoto, Hirayuki; Bando, Yukihiro; Nakamura, Hideji; Nishiguchi, Shuhei; Koga, Masafumi

2015-06-28

Nonalcoholic fatty liver disease (NAFLD) is one of the major causes of chronic liver injury. NAFLD includes a wide range of clinical conditions from simple steatosis to nonalcoholic steatohepatitis (NASH), advanced fibrosis, and liver cirrhosis. The histological findings of NASH indicate hepatic steatosis and inflammation with characteristic hepatocyte injury (e.g., ballooning degeneration), as is observed in the patients with alcoholic liver disease. NASH is considered to be a potentially health-threatening disease that can progress to cirrhosis. A liver biopsy remains the most reliable diagnostic method to appropriately diagnose NASH, evaluate the severity of liver fibrosis, and determine the prognosis and optimal treatment. However, this invasive technique is associated with several limitations in routine use, and a number of biomarkers have been developed in order to predict the degree of liver fibrosis. In the present article, we review the current status of noninvasive biomarkers available to estimate liver fibrosis in the patients with NASH. We also discuss our recent findings on the use of the glycated albumin-to-glycated hemoglobin ratio, which is a new index that correlates to various chronic liver diseases, including NASH.
Combination Therapy with Cholinesterase Inhibitors and Memantine for Alzheimer’s Disease: A Systematic Review and Meta-Analysis

PubMed Central

Kishi, Taro; Iwata, Nakao

2015-01-01

Background: We performed an updated meta-analysis of randomized controlled trials of combination therapy with cholinesterase inhibitors and memantine in patients with Alzheimer’s disease. Methods: We reviewed cognitive function, activities of daily living, behavioral disturbance, global assessment, discontinuation rate, and individual side effects. Results: Seven studies (total n=2182) were identified. Combination therapy significantly affected behavioral disturbance scores (standardized mean difference=−0.13), activity of daily living scores (standardized mean difference=−0.10), and global assessment scores (standardized mean difference=−0.15). In addition, cognitive function scores (standardized mean difference=−0.13, P=.06) exhibited favorable trends with combination therapy. The effects of combination therapy were more significant in the moderate-to-severe Alzheimer’s disease subgroup in terms of all efficacy outcome scores. The discontinuation rate was similar in both groups, and there were no significant differences in individual side effects. Conclusions: Combination therapy was beneficial for the treatment of moderate-to-severe Alzheimer’s disease in terms of cognition, behavioral disturbances, activities of daily living, and global assessment was well tolerated. PMID:25548104
As-yet-uncultivated oral bacteria: breadth and association with oral and extra-oral diseases

PubMed Central

Siqueira, José F.; Rôças, Isabela N.

2013-01-01

It has been shown that 40–60% of the bacteria found in different healthy and diseased oral sites still remain to be grown in vitro, phenotypically characterized, and formally named as species. The possibility exists that these as-yet-uncultivated bacteria play important ecological roles in oral bacterial communities and may participate in the pathogenesis of several oral infectious diseases. There is also a potential for these as-yet-uncultivated oral bacteria to take part in extra-oral infections. For a comprehensive characterization of physiological and pathogenic properties as well as antimicrobial susceptibility of individual bacterial species, strains need to be grown in pure culture. Advances in culturing techniques have allowed the cultivation of several oral bacterial taxa only previously known by a 16S rRNA gene sequence signature, and novel species have been proposed. There is a growing need for developing improved methods to cultivate and characterize the as-yet-uncultivated portion of the oral microbiome so as to unravel its role in health and disease. PMID:23717756
Streptococcal toxic shock syndrome from necrotizing soft-tissue infection of the breast caused by a mucoid type strain.

PubMed

Kohayagawa, Yoshitaka; Ishitobi, Natsuko; Yamamori, Yuji; Wakuri, Miho; Sano, Chiaki; Tominaga, Kiyoshi; Ikebe, Tadayoshi

2015-02-01

Streptococcal toxic shock syndrome is a severe infectious disease. We report a Japanese case of Streptococcal toxic shock syndrome caused by a highly mucoid strain of Streptococcus pyogenes. A 31-year old female with shock vital sign presented at a tertiary medical center. Her left breast was necrotizing and S. pyogenes was detected by Immunochromatographic rapid diagnostic kits. Intensive care, including administration of antibiotics and skin debridement, was performed. After 53 days in our hospital, she was discharged. The blood cultures and skin swab cultures all grew S. pyogenes which displayed a highly mucoid morphology on culture media. In her course of the disease, the Streptococcus strain had infected two other family members. All of the strains possessed the T1 and M1 antigens, as well as the emm1.0 gene. As for fever genes, the strains were all positive for speA, speB, and speF, but negative for speC. All of the strains exhibited and the same pattern in PFGE with the SfiI restriction enzyme. The strain might have spread in the local area by the data from the Japanese Infectious Disease Surveillance Center. Immunochromatographic rapid diagnostic kits are very useful for detecting S. pyogenes. However, they can not be used to diagnose severe streptococcul disease by highly mucoid strain alone. Careful observation of patients and colony morphology are useful methods for diagnosing severe streptococcal disease by highly mucoid strain. Copyright © 2014 Japanese Society of Chemotherapy and The Japanese Association for Infectious Diseases. Published by Elsevier Ltd. All rights reserved.

Examination of high-antibiotic users in a multi-institutional cohort of CRS patients

PubMed Central

Ramakrishnan, Vijay R.; Mace, Jess C.; Soler, Zachary M.; Smith, Timothy L.

2016-01-01

Background In addition to known concerns regarding antibiotic overuse, recent research indicates that excessive antibiotic use is associated with poorer long-term health. Given that rhinosinusitis is the leading condition accounting for antibiotic prescriptions in the ambulatory setting, we aimed to evaluate characteristics associated with greater antibiotic use in CRS. Methods Adult CRS patients enrolled in a prospective, multi-institutional, observational cohort study evaluating treatment outcomes were included in this analysis. Study participants were asked to report the number of days out of the previous 90 days that systemic antibiotics were taken for sinus disease. Patient demographics, disease characteristics, and measures of disease severity were evaluated. Results 561 patients from 4 institutions were included in the analysis, with mean antibiotic use of 17.4 +/−22.4 out of the prior 90 days. No differences between antibiotic-use groups were found for objective measures of disease severity (CT, endoscopy, BSIT scores), however, increased patient-reported symptom burden (SNOT-22, RSDI) was associated with more antibiotic use. Patients reporting the most antibiotic use were older (p=0.004) but no ethnic or gender differences were seen. Comorbid diagnoses of allergy, asthma, diabetes, depression, or fibromyalgia, were not associated with increased antibiotic use. In accordance with literature recommendations, CRSwNP patients were less likely to have used antibiotics. ESS significantly decreased antibiotic use. Conclusion Variability in antibiotic use in CRS appears to be driven by symptom burden, independent of objective measures of disease severity, patient demographics, and presence of comorbid disease. Clear guidelines are essential to define appropriate antibiotic use in CRS. PMID:28084683
Results of home parenteral nutrition in patients with severe inflammatory bowel disease - an alternative for surgery of malnourished patients.

PubMed

Turkot, Maryla; Sobocki, Jacek

2017-10-31

In the world, the inflammatory bowel disease affects an increasing number of younger and younger patients, and in some of them parenteral nutrition is an alternative to high-risk surgical intervention due to advancement of the disease and malnutrition. The aim of the study was to assess the results of home parenteral nutrition in patients with severe bowel inflammatory disease, in whom surgical treatment is associated with high risk of complications. A retrospective analysis was conducted on 46 patients, who received home parenteral nutrition instead of another surgical intervention. The inclusion criteria included home parenteral nutrition and diagnosis of Crohn's disease or ulcerative colitis. Mean number of complications requiring hospital admission per patient was 1.76, the BMI increased by 4.3 on average [kg/m2]. During parenteral nutrition, the percentage of patients, in whom anti-inflammatory or immunosuppressant drugs were completely discontinued, was 17.4%. In the whole group, at least one immunosuppressive drug was discontinued in onefifth of patients. Mean albumin level increased by 2.4 g/L, lymphocyte count dropped by 474 lymphocytes/mm3, and leukocyte count increased by 747.6/mm3. The patients described their condition as good in 87%, and 7.4% of patients were able to work. Home parenteral nutrition positively affects patient's general condition by increasing BMI and normalizing biochemical test results. The results indicate the need to consider this method as an alternative to surgical intervention in severe bowel inflammatory disease with high perioperative risk, which could reduce the complication rate.
Health-related quality of life in children and adolescents with celiac disease: from the perspectives of children and parents.

PubMed

Byström, Ing-Marie; Hollén, Elisabet; Fälth-Magnusson, Karin; Johansson, Annakarin

2012-01-01

Aim. To examine how celiac children and adolescents on gluten-free diet valued their health-related quality of life, and if age and severity of the disease at onset affected the children's self-valuation later in life. We also assessed the parents' valuation of their child's quality of life. Methods. The DISABKIDS Chronic generic measure, short versions for both children and parents, was used on 160 families with celiac disease. A paediatric gastroenterologist classified manifestations of the disease at onset retrospectively. Results. Age or sex did not influence the outcome. Children diagnosed before the age of five scored higher than children diagnosed later. Children diagnosed more than eight years ago scored higher than more recently diagnosed children, and children who had the classical symptoms of the disease at onset scored higher than those who had atypical symptoms or were asymptomatic. The parents valuated their children's quality of life as lower than the children did. Conclusion. Health-related quality of life in treated celiac children and adolescents was influenced by age at diagnosis, disease severity at onset, and years on gluten-free diet. The disagreement between child-parent valuations highlights the importance of letting the children themselves be heard about their perceived quality of life.
Association of restless legs syndrome, pain, and mood disorders in Parkinson's disease.

PubMed

Rana, Abdul Qayyum; Qureshi, Abdul Rehman M; Rahman, Labiba; Jesudasan, Ajantha; Hafez, Kevin K; Rana, Mohammad A

2016-01-01

The objectives of the study were to analyze the association between Parkinson's disease and restless legs syndrome, and to explore the relationship between mood disorder comorbidity (anxiety and depression), pain, and restless legs syndrome. This study included 123 Parkinson's disease patients and 123 non-Parkinson's disease patients matched for age and gender, and evaluated for anxiety severity, depression severity, pain severity, pain interference, pain disability, and restless legs syndrome prevalence. This was performed using semi-structured interviews and a neurological examination through the restless legs syndrome diagnostic criteria and the following inventories; Hospital Anxiety and Depression Scale, Brief Pain Inventory, and Pain Disability Index. Parkinson's disease patients had significantly greater anxiety severity, depression severity, pain severity, pain interference, pain disability, and restless legs syndrome prevalence in comparison to controls. In addition, Parkinson's disease patients' comorbid for anxiety and depression had significantly greater pain severity, pain interference, and pain disability, but not RLS prevalence, in comparison to Parkinson's disease only, Parkinson's disease anxiety, and Parkinson's disease depression patients. Pain interference, pain severity, and pain disability is greater among Parkinson's disease patients with anxiety and depression, in comparison to Parkinson's disease patients without anxiety and depression. On the contrary, the prevalence of restless legs syndrome was not found to be relevant.
[Clinical importance of semi-quantitative monitoring of lymphomas using the comparative polymerase chain reaction].

PubMed

Slavícková, A; Ivánek, R; Cerný, J; Sálková, J; Trnĕný, M

2002-11-22

PCR techniques detecting interchromosomal translocation and clonal immunoglobulin gene rearrangement (IgH) as disease markers in non-Hodgkin's lymphomas (NHL) has been utilised past ten years. However, qualitative PCR detection of persisted minimal residual disease cannot provide clinically useful prognostic information and presently, quantitative approaches are required to predict patient outcome and assess response to the treatment. In some cases, "end-point" quantifying techniques, such as comparative PCR, are applicable and the relative estimation of differences in target quantity may serve in disease monitoring rather than absolute number of target copies. Our method of comparative PCR employs co-amplification of sequences of interest (clonal CDR3, bcl2/Jh) and the segment of Hras 1 gene(ras) as an internal standard. Serial dilutions of stored diagnostic DNAs from blood and bone marrow are examined in the same PCR and, after gel densitometry, the amount of initial target is assessed by comparing exponential products of co-amplification. The comparative PCR assay was utilized in monitoring of NHL patients cured either with conventional therapy, or with high-dose regimens and transplantation with stem cells, or with chimaeric anti-CD20 monoclonal antibody (Rituximab). Results from 50 monitored intervals obtained during several months up to several years were supplemented with clinical statements retrospectively. Some of patients became PCR-negative, reappearance of PCR-positivity was observed as well. The decrease or increase of disease marker corresponded to clinical observations. Results obtained from bone marrow were in agreement with those obtained from blood. End-point quantifying PCR comparative assay may provide an information on the increased risk of relapse and impact of the therapy. The predictive value of these methods depends on the frequency of sample taking and on the sensitivity of the method, which should be monitored in negative cases.
A review of health utilities using the EQ-5D in studies of cardiovascular disease

PubMed Central

2010-01-01

Background The EQ-5D has been extensively used to assess patient utility in trials of new treatments within the cardiovascular field. The aims of this study were to review evidence of the validity and reliability of the EQ-5D, and to summarise utility scores based on the use of the EQ-5D in clinical trials and in studies of patients with cardiovascular disease. Methods A structured literature search was conducted using keywords related to cardiovascular disease and EQ-5D. Original research studies of patients with cardiovascular disease that reported EQ-5D results and its measurement properties were included. Results Of 147 identified papers, 66 met the selection criteria, with 10 studies reporting evidence on validity or reliability and 60 reporting EQ-5D responses (VAS or self-classification). Mean EQ-5D index-based scores ranged from 0.24 (SD 0.39) to 0.90 (SD 0.16), while VAS scores ranged from 37 (SD 21) to 89 (no SD reported). Stratification of EQ-5D index scores by disease severity revealed that scores decreased from a mean of 0.78 (SD 0.18) to 0.51 (SD 0.21) for mild to severe disease in heart failure patients and from 0.80 (SD 0.05) to 0.45 (SD 0.22) for mild to severe disease in angina patients. Conclusions The published evidence generally supports the validity and reliability of the EQ-5D as an outcome measure within the cardiovascular area. This review provides utility estimates across a range of cardiovascular subgroups and treatments that may be useful for future modelling of utilities and QALYs in economic evaluations within the cardiovascular area. PMID:20109189
Pulmonary Microvascular Blood Flow in Mild Chronic Obstructive Pulmonary Disease and Emphysema. The MESA COPD Study

PubMed Central

Hueper, Katja; Vogel-Claussen, Jens; Parikh, Megha A.; Austin, John H. M.; Bluemke, David A.; Carr, James; Choi, Jiwoong; Goldstein, Thomas A.; Gomes, Antoinette S.; Hoffman, Eric A.; Kawut, Steven M.; Lima, Joao; Michos, Erin D.; Post, Wendy S.; Po, Ming Jack; Prince, Martin R.; Liu, Kiang; Rabinowitz, Dan; Skrok, Jan; Smith, Ben M.; Watson, Karol; Yin, Youbing; Zambeli-Ljepovic, Alan M.

2015-01-01

Rationale: Smoking-related microvascular loss causes end-organ damage in the kidneys, heart, and brain. Basic research suggests a similar process in the lungs, but no large studies have assessed pulmonary microvascular blood flow (PMBF) in early chronic lung disease. Objectives: To investigate whether PMBF is reduced in mild as well as more severe chronic obstructive pulmonary disease (COPD) and emphysema. Methods: PMBF was measured using gadolinium-enhanced magnetic resonance imaging (MRI) among smokers with COPD and control subjects age 50 to 79 years without clinical cardiovascular disease. COPD severity was defined by standard criteria. Emphysema on computed tomography (CT) was defined by the percentage of lung regions below −950 Hounsfield units (−950 HU) and by radiologists using a standard protocol. We adjusted for potential confounders, including smoking, oxygenation, and left ventricular cardiac output. Measurements and Main Results: Among 144 participants, PMBF was reduced by 30% in mild COPD, by 29% in moderate COPD, and by 52% in severe COPD (all P < 0.01 vs. control subjects). PMBF was reduced with greater percentage emphysema−950HU and radiologist-defined emphysema, particularly panlobular and centrilobular emphysema (all P ≤ 0.01). Registration of MRI and CT images revealed that PMBF was reduced in mild COPD in both nonemphysematous and emphysematous lung regions. Associations for PMBF were independent of measures of small airways disease on CT and gas trapping largely because emphysema and small airways disease occurred in different smokers. Conclusions: PMBF was reduced in mild COPD, including in regions of lung without frank emphysema, and may represent a distinct pathological process from small airways disease. PMBF may provide an imaging biomarker for therapeutic strategies targeting the pulmonary microvasculature. PMID:26067761
Differences of Behavioral and Psychological Symptoms of Dementia in Disease Severity in Four Major Dementias

PubMed Central

Kazui, Hiroaki; Yoshiyama, Kenji; Kanemoto, Hideki; Suzuki, Yukiko; Sato, Shunsuke; Hashimoto, Mamoru; Ikeda, Manabu; Tanaka, Hibiki; Hatada, Yutaka; Matsushita, Masateru; Nishio, Yoshiyuki; Mori, Etsuro; Tanimukai, Satoshi; Komori, Kenjiro; Yoshida, Taku; Shimizu, Hideaki; Matsumoto, Teruhisa; Mori, Takaaki; Kashibayashi, Tetsuo; Yokoyama, Kazumasa; Shimomura, Tatsuo; Kabeshita, Yasunobu; Adachi, Hiroyoshi; Tanaka, Toshihisa

2016-01-01

Background/Aims Behavioral and psychological symptoms of dementia (BPSDs) negatively impact the prognosis of dementia patients and increase caregiver distress. The aims of this study were to clarify the differences of trajectories of 12 kinds of BPSDs by disease severity in four major dementias and to develop charts showing the frequency, severity, and associated caregiver distress (ACD) of BPSDs using the data of a Japan multicenter study (J-BIRD). Methods We gathered Neuropsychiatric Inventory (NPI) data of patients with Alzheimer’s disease (AD; n = 1091), dementia with Lewy bodies (DLB; n = 249), vascular dementia (VaD; n = 156), and frontotemporal lobar degeneration (FTLD; n = 102) collected during a 5-year period up to July 31, 2013 in seven centers for dementia in Japan. The NPI composite scores (frequency × severity) of 12 kinds of items were analyzed using a principal component analysis (PCA) in each dementia. The factor scores of the PCA were compared in each dementia by disease severity, which was determined with Clinical Dementia Rating (CDR). Results Significant increases with higher CDR scores were observed in 1) two of the three factor scores which were loaded for all items except euphoria in AD, 2) two of the four factor scores for apathy, aberrant motor behavior (AMB), sleep disturbances, agitation, irritability, disinhibition, and euphoria in DLB, and 3) one of the four factor scores for apathy, depression, anxiety, and sleep disturbances in VaD. However, no increases were observed in any of the five factor scores in FTLD. Conclusions As dementia progresses, several BPSDs become more severe, including 1) apathy and sleep disturbances in AD, DLB, and VaD, 2) all of the BPSDs except euphoria in AD, 3) AMB, agitation, irritability, disinhibition, and euphoria in DLB, and 4) depression and anxiety in VaD. Trajectories of BPSDs in FTLD were unclear. PMID:27536962
Relative Impact of Multimorbid Chronic Conditions on Health-Related Quality of Life – Results from the MultiCare Cohort Study

PubMed Central

Brettschneider, Christian; Leicht, Hanna; Bickel, Horst; Dahlhaus, Anne; Fuchs, Angela; Gensichen, Jochen; Maier, Wolfgang; Riedel-Heller, Steffi; Schäfer, Ingmar; Schön, Gerhard; Weyerer, Siegfried; Wiese, Birgitt; König, Hans-Helmut; Altiner, Attila; Bickel, Horst; Blank, Wolfgang; Brettschneider, Christian; Bullinger, Monika; van den Bussche, Hendrik; Dahlhaus, Anne; Ehreke, Lena; Freitag, Michael; Fuchs, Angela; Gensichen, Jochen; Gerlach, Ferdinand; Hansen, Heike; Heinrich, Sven; Höfels, Susanne; von dem Knesebeck, Olaf; König, Hans-Helmut; Krause, Norbert; Leicht, Hanna; Luppa, Melanie; Maier, Wolfgang; Mayer, Manfred; Mellert, Christine; Nützel, Anna; Paschke, Thomas; Petersen, Juliana; Prokein, Jana; Riedel-Heller, Steffi; Romberg, Heinz-Peter; Schäfer, Ingmar; Scherer, Martin; Schön, Gerhard; Steinmann, Susanne; Schulz, Sven; Wegscheider, Karl; Weckbecker, Klaus; Werle, Jochen; Weyerer, Siegfried; Wiese, Birgitt; Zieger, Margrit

2013-01-01

Background Multimorbidity has a negative impact on health-related quality of life (HRQL). Previous studies included only a limited number of conditions. In this study, we analyse the impact of a large number of conditions on HRQL in multimorbid patients without preselecting particular diseases. We also explore the effects of these conditions on the specific dimensions of HRQL. Materials and Methods This analysis is based on a multicenter, prospective cohort study of 3189 multimorbid primary care patients aged 65 to 85. The impact of 45 conditions on HRQL was analysed. The severity of the conditions was rated. The EQ-5D, consisting of 5 dimensions and a visual-analogue-scale (EQ VAS), was employed. Data were analysed using multiple ordinary least squares and multiple logistic regressions. Multimorbidity measured by a weighted count score was significantly associated with lower overall HRQL (EQ VAS), b = −1.02 (SE: 0.06). Parkinson’s disease had the most pronounced negative effect on overall HRQL (EQ VAS), b = −12.29 (SE: 2.18), followed by rheumatism, depression, and obesity. With regard to the individual EQ-5D dimensions, depression (OR = 1.39 to 3.3) and obesity (OR = 1.44 to 1.95) affected all five dimensions of the EQ-5D negatively except for the dimension anxiety/depression. Obesity had a positive effect on this dimension, OR = 0.78 (SE: 0.07). The dimensions “self-care”, OR = 4.52 (SE: 1.37) and “usual activities”, OR = 3.59 (SE: 1.0), were most strongly affected by Parkinson’s disease. As a limitation our sample may only represent patients with at most moderate disease severity. Conclusions The overall HRQL of multimorbid patients decreases with an increasing count and severity of conditions. Parkinson’s disease, depression and obesity have the strongest impact on HRQL. Further studies should address the impact of disease combinations which require very large sample sizes as well as advanced statistical methods. PMID:23826124
Clinical spectrum of Castleman disease–associated neuropathy

PubMed Central

Naddaf, Elie; Dispenzieri, Angela; Mandrekar, Jay

2016-01-01

Objective: To define the peripheral neuropathy phenotypes associated with Castleman disease. Methods: We conducted a retrospective chart review for patients with biopsy-proven Castleman disease evaluated between January 2003 and December 2014. Patients with associated peripheral neuropathy were identified and divided into 2 groups: those with Castleman disease without POEMS syndrome (CD-PN) and those with Castleman disease with POEMS syndrome (CD-POEMS). We used a cohort of patients with POEMS as controls. Clinical, electrodiagnostic, and laboratory characteristics were collected and compared among patient subgroups. Results: There were 7 patients with CD-PN, 20 with CD-POEMS, and 122 with POEMS. Patients with CD-PN had the mildest neuropathy characterized by predominant sensory symptoms with no pain and mild distal sensory deficits (median Neuropathy Impairment Score of 7 points). Although both patients with CD-POEMS and patients with POEMS had a severe sensory and motor neuropathy, patients with CD-POEMS were less affected (median Neuropathy Impairment Score of 33 and 66 points, respectively). The degree of severity was also reflected on electrodiagnostic testing in which patients with CD-PN demonstrated a mild degree of axonal loss, followed by patients with CD-POEMS and then those with POEMS. Demyelinating features, defined by European Federation of Neurologic Societies/Peripheral Nerve Society criteria, were present in 43% of the CD-PN, 78% of the CD-POEMS, and 86% of the POEMS group. Conclusion: There is a spectrum of demyelinating peripheral neuropathies associated with Castleman disease. CD-PN is sensory predominant and is the mildest phenotype, whereas CD-POEMS is a more severe sensory and motor neuropathy. Compared to the POEMS cohort, those with CD-POEMS neuropathy have a similar but less severe phenotype. Whether these patients respond differently to treatment deserves further study. PMID:27807187
Elevated Serum Levels of the Antiapoptotic Protein Decoy-Receptor 3 Are Associated with Advanced Liver Disease.

PubMed

Bamias, Giorgos; Gizis, Michalis; Delladetsima, Ioanna; Laoudi, Eyfrosyni; Siakavellas, Spyros I; Koutsounas, Ioannis; Kaltsa, Garyfallia; Vlachogiannakos, John; Vafiadis-Zouboulis, Irene; Daikos, George L; Papatheodoridis, George V; Ladas, Spiros D

2016-01-01

Background. Decoy-receptor 3 (DcR3) exerts antiapoptotic and immunomodulatory function and is overexpressed in neoplastic and inflammatory conditions. Serum DcR3 (sDcR3) levels during the chronic hepatitis/cirrhosis/hepatocellular carcinoma (HCC) sequence have not been explored. Objective. To assess the levels and significance of sDcR3 protein in various stages of chronic liver disease. Methods. We compared sDcR3 levels between healthy controls and patients with chronic viral hepatitis (CVH), decompensated cirrhosis (DC), and HCC. Correlations between sDcR3 levels and various patient- and disease-related factors were analyzed. Results. sDcR3 levels were significantly higher in patients with CVH than in controls (P < 0.01). sDcR3 levels were elevated in DC and HCC, being significantly higher compared not only to controls (P < 0.001 for both) but to CVH patients as well (P < 0.001 for both). In addition, DcR3 protein was detected in large quantities in the ascitic fluid of cirrhotics. In patients with CVH, sDcR3 significantly correlated to fibrosis severity, as estimated by Ishak score (P = 0.019) or by liver stiffness measured with elastography (Spearman r = 0.698, P < 0.001). In cirrhotic patients, significant positive correlations were observed between sDcR3 levels and markers of severity of hepatic impairment, including MELD score (r = 0.653, P < 0.001). Conclusions. Circulating levels of DcR3 are elevated during chronic liver disease and correlate with severity of liver damage. sDcR3 may serve as marker for liver fibrosis severity and progression to end-stage liver disease.
Quality of life in patients with Parkinson's disease: development of a questionnaire.

PubMed Central

de Boer, A G; Wijker, W; Speelman, J D; de Haes, J C

1996-01-01

OBJECTIVES--To develop and test a questionnaire for measuring quality of life in patients with Parkinson's disease. METHODS--An item pool was developed based on the experience of patients with Parkinson's disease and of neurologists; medical literature on the problems of patients with Parkinson's disease; and other quality of life questionnaires. To reduce the item pool, 13 patients identified items that were a problem to them and rated their importance. Items which were most often chosen and rated most important were included in the Parkinson's disease quality of life questionnaire (PDQL). The PDQL consists of 37 items. To evaluate the discriminant validity of the PDQL three groups of severity of disease were compared. To test for convergent validity, the scores of the PDQL were tested for correlation with standard indices of quality of life. RESULTS--The PDQL was filled out by 384 patients with Parkinson's disease. It consisted of four subscales: parkinsonian symptoms, systemic symptoms, emotional functioning, and social functioning. The internal-consistency reliability coefficients of the PDQL subscales were high (0.80-0.87). Patients with higher disease severity had significantly lower quality of life on all PDQL subscales (P < 0.05). Almost all PDQL subscales correlated highly (P < 0.001) with the corresponding scales of the standard quality of life indices. CONCLUSION--The PDQL is a relevant, reliable, and valid measure of the quality of life of patients with Parkinson's disease. Images PMID:8676165
The TNF-α -308 polymorphism may affect the severity of Crohn's disease

PubMed Central

Santana, Genoile; Bendicho, Maria Teresita; Santana, Tamara Celi; dos Reis, Lidiane Bianca; Lemaire, Denise; Lyra, André Castro

2011-01-01

OBJECTIVE: The goal of this project was to analyze the association between Crohn's disease, its clinical features, and the tumor necrosis factor alpha (TNF-α) -308 polymorphism. METHODS: This is a case-control and cross-sectional study that enrolled 91 patients with Crohn's disease and 91 controls. Patients with Crohn's disease were characterized according to the Montreal Classification, along with their clinical and surgical treatment history. Analysis of the TNF-α -308 polymorphism was performed using a commercial kit. A stratified analysis was applied using an OR (odds ratio) with a 95% confidence interval. The chi-square and Fisher's exact tests were utilized for analysis of the association between the polymorphism and the clinical features of Crohn's disease. RESULTS: The low producer predicted phenotype was present in 76.9% of Crohn's disease cases and 75.8% of controls (OR 0.94 [0.45-1.97]). The TNF2 allele and the high producer predicted phenotype were more frequent among patients with Crohn's disease penetrating behavior (p = 0.004). The TNF2 allele and the high producer predicted phenotype were also associated with a history of colectomy (p = 0.02), and the TNF2 allele was associated with small bowel resection (p = 0.03). CONCLUSIONS: The TNF-α -308 polymorphism appears to affect the severity of the disease. However, TNF-α -308 polymorphism does not appear to be important for the susceptibility in the development of Crohn's disease. PMID:21915486
[Quantitative measurement of axial rigidity, functional status and health-related quality of life in patients with Parkinson's disease].

PubMed

Cano de la Cuerda, Roberto; Vela, Lydia; Miangolarra-Page, Juan Carlos; Macías-Macías, Yolanda; Muñoz-Hellín, Elena

2010-08-16

Rigidity is a cardinal symptom of Parkinson's disease (PD). Clinically, rigidity is usually assessed by passively flexing and extending a patient's limb. Few studies have assessed rigidity in trunk muscles in PD patients. To develop an objective measurement to quantify trunk rigidity in PD patients, and to examine its relationship with disease severity using the Hoehn and Yahr staging score (HY) and the Unified Parkinson's Disease Rating Scale III (UPDRS-III), disease duration, functional status with the Schwab & England activities of daily living scale and health related quality of life (HRQoL) was assessed with the European Quality of Life-5 Dimensions and Parkinson's Disease Questionnaire-39 items (PDQ-39). An isokinetic dynamometer Biodex System 3 was employed to assess trunk rigidity in 36 PD patients. Passive trunk flexion and extension at 3 angular velocities, 30 degrees/s, 45 degrees/s and 60 degrees /s were applied and resistive torques were recorded as trunk flexor and extensors rigidity. Significant correlations between trunk flexors-extensors tone and HY staging score, UPDRS-III, disease duration and functional status at 30 degrees/s, 45 degrees/s and 60 degrees/s were obtained. Trunk rigidity was correlated with the HRQoL assessed with the PDQ-39. Our results suggest that the 30 degrees/s, 45 degrees/s and 60 degrees/s angular velocities of this objective method was valid to assess trunk rigidity and was correlated with disease severity, disease duration, functional status and HRQoL in PD patients.
Serum proinflammatory cytokines and nutritional status in pediatric chronic liver disease

PubMed Central

Santetti, Daniele; de Albuquerque Wilasco, Maria Inês; Dornelles, Cristina Toscani Leal; Werlang, Isabel Cristina Ribas; Fontella, Fernanda Urruth; Kieling, Carlos Oscar; dos Santos, Jorge Luiz; Vieira, Sandra Maria Gonçalves; Goldani, Helena Ayako Sueno

2015-01-01

AIM: To evaluate the nutritional status and its association with proinflammatory cytokines in children with chronic liver disease. METHODS: We performed a cross-sectional study with 43 children and adolescents, aged 0 to 17 years, diagnosed with chronic liver disease. All patients regularly attended the Pediatric Hepatology Unit and were under nutritional follow up. The exclusion criteria were fever from any etiology at the time of enrollment, inborn errors of the metabolism and any chronic illness. The severity of liver disease was assessed by Child-Pugh, Model for End-stage Liver Disease (MELD) and Pediatric End Stage Liver Disease (PELD) scores. Anthropometric parameters were height/age, body mass index/age and triceps skinfold/age according to World Health Organization standards. The cutoff points for nutritional status were risk of malnutrition (Z-score < -1.00) and malnutrition (Z-score < -2.00). Interleukin-1β (IL-1β), IL-6 and tumor necrosis factor-α levels were assessed by commercial ELISA kits. For multivariate analysis, linear regression was applied to assess the association between cytokine levels, disease severity and nutritional status. RESULTS: The median (25th-75th centile) age of the study population was 60 (17-116)-mo-old, and 53.5% were female. Biliary atresia was the main cause of chronic liver disease (72%). With respect to Child-Pugh score, cirrhotic patients were distributed as follows: 57.1% Child-Pugh A, a mild presentation of the disease, 34.3% Child-Pugh B, a moderate stage of cirrhosis and 8.6% Child-Pugh C, were considered severe cases. PELD and MELD scores were only above the cutoff point in 5 cases. IL-6 values were increased in patients at nutritional risk (34.9%) compared with those who were well-nourished [7.12 (0.58-34.23) pg/mL vs 1.63 (0.53-3.43) pg/mL; P = 0.02], correlating inversely with triceps skinfold-for-age z-score (rs = -0.61; P < 0.001). IL-6 levels were associated with liver disease severity assessed by Child-Pugh score (P = 0.001). This association remained significant after adjusting for nutritional status in a linear regression model. CONCLUSION: High IL-6 levels were found in children with chronic liver disease at nutritional risk. Inflammatory activity may be related to nutritional status deterioration in these patients. PMID:26269683
Regulation of defensive function on gingival epithelial cells can prevent periodontal disease.

PubMed

Fujita, Tsuyoshi; Yoshimoto, Tetsuya; Kajiya, Mikihito; Ouhara, Kazuhisa; Matsuda, Shinji; Takemura, Tasuku; Akutagawa, Keiichi; Takeda, Katsuhiro; Mizuno, Noriyoshi; Kurihara, Hidemi

2018-05-01

Periodontal disease is a bacterial biofilm-associated inflammatory disease that has been implicated in many systemic diseases. A new preventive method for periodontal disease needs to be developed in order to promote the health of the elderly in a super-aged society. The gingival epithelium plays an important role as a mechanical barrier against bacterial invasion and a part of the innate immune response to infectious inflammation in periodontal tissue. The disorganization of cell-cell interactions and subsequent inflammation contribute to the initiation of periodontal disease. These make us consider that regulation of host defensive functions, epithelial barrier and neutrophil activity, may become novel preventive methods for periodontal inflammation. Based on this concept, we have found that several agents regulate the barrier function of gingival epithelial cells and suppress the accumulation of neutrophils in the gingival epithelium. We herein introduce the actions of irsogladine maleate, azithromycin, amphotericin B, and Houttuynia cordata (dokudami in Japanese), which is commonly used in traditional medicine, on the epithelial barrier and neutrophil migration in gingival epithelial cells in vivo and in vitro , in order to provide support for the clinical application of these agents to the prevention of periodontal inflammation.
Cost-of-illness studies: concepts, scopes, and methods

PubMed Central

2014-01-01

Liver diseases are one of the main causes of death, and their ever-increasing prevalence is threatening to cause significant damage both to individuals and society as a whole. This damage is especially serious for the economically active population in Korea. From the societal perspective, it is therefore necessary to consider the economic impacts associated with liver diseases, and identify interventions that can reduce the burden of these diseases. The cost-of-illness study is considered to be an essential evaluation technique in health care. By measuring and comparing the economic burdens of diseases to society, such studies can help health-care decision-makers to set up and prioritize health-care policies and interventions. Using economic theories, this paper introduces various study methods that are generally applicable to most disease cases for estimating the costs of illness associated with mortality, morbidity, disability, and other disease characteristics. It also presents concepts and scopes of costs along with different cost categories from different research perspectives in cost estimations. By discussing the epidemiological and economic grounds of the cost-of-illness study, the reported results represent useful information about several evaluation techniques at an advanced level, such as cost-benefit analysis, cost-effectiveness analysis, and cost-utility analysis. PMID:25548737
Cost-of-illness studies: concepts, scopes, and methods.

PubMed

Jo, Changik

2014-12-01

Liver diseases are one of the main causes of death, and their ever-increasing prevalence is threatening to cause significant damage both to individuals and society as a whole. This damage is especially serious for the economically active population in Korea. From the societal perspective, it is therefore necessary to consider the economic impacts associated with liver diseases, and identify interventions that can reduce the burden of these diseases. The cost-of-illness study is considered to be an essential evaluation technique in health care. By measuring and comparing the economic burdens of diseases to society, such studies can help health-care decision-makers to set up and prioritize health-care policies and interventions. Using economic theories, this paper introduces various study methods that are generally applicable to most disease cases for estimating the costs of illness associated with mortality, morbidity, disability, and other disease characteristics. It also presents concepts and scopes of costs along with different cost categories from different research perspectives in cost estimations. By discussing the epidemiological and economic grounds of the cost-of-illness study, the reported results represent useful information about several evaluation techniques at an advanced level, such as cost-benefit analysis, cost-effectiveness analysis, and cost-utility analysis.
Republished review: Gene therapy for ocular diseases.

PubMed

Liu, Melissa M; Tuo, Jingsheng; Chan, Chi-Chao

2011-07-01

The eye is an easily accessible, highly compartmentalised and immune-privileged organ that offers unique advantages as a gene therapy target. Significant advancements have been made in understanding the genetic pathogenesis of ocular diseases, and gene replacement and gene silencing have been implicated as potentially efficacious therapies. Recent improvements have been made in the safety and specificity of vector-based ocular gene transfer methods. Proof-of-concept for vector-based gene therapies has also been established in several experimental models of human ocular diseases. After nearly two decades of ocular gene therapy research, preliminary successes are now being reported in phase 1 clinical trials for the treatment of Leber congenital amaurosis. This review describes current developments and future prospects for ocular gene therapy. Novel methods are being developed to enhance the performance and regulation of recombinant adeno-associated virus- and lentivirus-mediated ocular gene transfer. Gene therapy prospects have advanced for a variety of retinal disorders, including retinitis pigmentosa, retinoschisis, Stargardt disease and age-related macular degeneration. Advances have also been made using experimental models for non-retinal diseases, such as uveitis and glaucoma. These methodological advancements are critical for the implementation of additional gene-based therapies for human ocular diseases in the near future.
Gene therapy for ocular diseases.

PubMed

Liu, Melissa M; Tuo, Jingsheng; Chan, Chi-Chao

2011-05-01

The eye is an easily accessible, highly compartmentalised and immune-privileged organ that offers unique advantages as a gene therapy target. Significant advancements have been made in understanding the genetic pathogenesis of ocular diseases, and gene replacement and gene silencing have been implicated as potentially efficacious therapies. Recent improvements have been made in the safety and specificity of vector-based ocular gene transfer methods. Proof-of-concept for vector-based gene therapies has also been established in several experimental models of human ocular diseases. After nearly two decades of ocular gene therapy research, preliminary successes are now being reported in phase 1 clinical trials for the treatment of Leber congenital amaurosis. This review describes current developments and future prospects for ocular gene therapy. Novel methods are being developed to enhance the performance and regulation of recombinant adeno-associated virus- and lentivirus-mediated ocular gene transfer. Gene therapy prospects have advanced for a variety of retinal disorders, including retinitis pigmentosa, retinoschisis, Stargardt disease and age-related macular degeneration. Advances have also been made using experimental models for non-retinal diseases, such as uveitis and glaucoma. These methodological advancements are critical for the implementation of additional gene-based therapies for human ocular diseases in the near future.

High-Risk Screening for Fabry Disease: Analysis by Tandem Mass Spectrometry of Globotriaosylceramide (Gb3 ) in Urine Collected on Filter Paper.

PubMed

Auray-Blais, Christiane; Lavoie, Pamela; Boutin, Michel; Abaoui, Mona

2017-04-06

Fabry disease is a complex, panethnic lysosomal storage disorder. It is characterized by the accumulation of glycosphingolipids in tissues, organs, the vascular endothelium, and biological fluids. The reported incidence in different populations is quite variable, ranging from 1:1400 to 1:117,000. Its complexity lies in the marked genotypic and phenotypic heterogeneity. Despite the fact that it is an X-linked disease, more than 600 mutations affect both males and females. In fact, some females may be affected as severely as males. The purpose of this protocol is to focus on the high-risk screening of patients who might have Fabry disease using a simple, rapid, non-invasive high performance liquid chromatography-tandem mass spectrometry (HPLC-MS/MS) method for urinary globotriaosylceramide (Gb 3 ) analysis. Urine filter paper samples are easily collected at home by patients and sent by regular mail. This method has been successfully used for high-risk screening of patients with ophthalmologic manifestations and in an on-going study for high-risk screening of Fabry disease in patients with chronic kidney diseases. © 2017 by John Wiley & Sons, Inc. Copyright © 2017 John Wiley & Sons, Inc.
15kD Granulysin for Monocyte Differentiation: A New Immunotherapeutic for Both in vivo and ex vivo Applications | NCI Technology Transfer Center | TTC

Cancer.gov

Researchers at the NCI have developed a method of enhancing immune response in patients by using 15 kD granulysin. Granulysin, a proinflammatory molecule, is broadly applicable for the treatment of several diseases.
Fighting the Suicide Spirit

ERIC Educational Resources Information Center

Pember, Mary Annette

2010-01-01

Tribal colleges are at the forefront of a communitywide effort to combat suicide with culturally relevant methods. The Wiconi Ohitika project is one of several tribal college and mainstream university efforts to address the high rates of suicide among American Indians. According to the U. S. Centers for Disease Control and Prevention, the suicide…
Controlled laboratory challenge demonstrates substantial additive genetic variation in resistance to Streptococcus iniae in Nile tilapia

USDA-ARS?s Scientific Manuscript database

Streptococcus iniae is an etiologic agent of streptococcal disease in tilapia and is one of several Streptococcus spp. that negatively impact worldwide tilapia production. Methods for the prevention and control of S. iniae include vaccines, management strategies, and antibiotics. An alternative and ...
Some consequences of using the Horsfall-Barratt scale for hypothesis testing

USDA-ARS?s Scientific Manuscript database

Comparing treatment effects by hypothesis testing is a common practice in plant pathology. Nearest percent estimates (NPEs) of disease severity were compared to Horsfall-Barratt (H-B) scale data to explore whether there was an effect of assessment method on hypothesis testing. A simulation model ba...
Predictors of Severe Disease in Melioidosis Patients in Kuala Lumpur, Malaysia

PubMed Central

Mohd Roslani, Ardita Dewi Roslani; Tay, Sun Tee; Puthucheary, Savithri D.; Rukumani, Devi V.; Sam, I-Ching

2014-01-01

The predictors of severe disease or death were determined for 85 melioidosis patients in Kuala Lumpur, Malaysia. Most of the patients were male, > 40 years old, and diabetic. Severe disease or death occurred in 28 (32.9%) cases. Lower lymphocyte counts and positive blood cultures were significant independent predictors of severe disease, but age, presentations with pneumonia, inappropriate empirical antibiotics, or flagellin types of the infecting isolates were not. Knowledge of local predictors of severe disease is useful for clinical management. PMID:25246695
Implementing clinical guidelines for chronic obstructive pulmonary disease: barriers and solutions

PubMed Central

Overington, Jeff D.; Huang, Yao C.; Abramson, Michael J.; Brown, Juliet L.; Goddard, John R.; Bowman, Rayleen V.; Fong, Kwun M.

2014-01-01

Chronic obstructive pulmonary disease (COPD) is a complex chronic lung disease characterised by progressive fixed airflow limitation and acute exacerbations that frequently require hospitalisation. Evidence-based clinical guidelines for the diagnosis and management of COPD are now widely available. However, the uptake of these COPD guidelines in clinical practice is highly variable, as is the case for many other chronic disease guidelines. Studies have identified many barriers to implementation of COPD and other guidelines, including factors such as lack of familiarity with guidelines amongst clinicians and inadequate implementation programs. Several methods for enhancing adherence to clinical practice guidelines have been evaluated, including distribution methods, professional education sessions, electronic health records (EHR), point of care reminders and computer decision support systems (CDSS). Results of these studies are mixed to date, and the most effective ways to implement clinical practice guidelines remain unclear. Given the significant resources dedicated to evidence-based medicine, effective dissemination and implementation of best practice at the patient level is an important final step in the process of guideline development. Future efforts should focus on identifying optimal methods for translating the evidence into everyday clinical practice to ensure that patients receive the best care. PMID:25478199
Label-Free Immuno-Sensors for the Fast Detection of Listeria in Food.

PubMed

Morlay, Alexandra; Roux, Agnès; Templier, Vincent; Piat, Félix; Roupioz, Yoann

2017-01-01

Foodborne diseases are a major concern for both food industry and health organizations due to the economic costs and potential threats for human lives. For these reasons, specific regulations impose the research of pathogenic bacteria in food products. Nevertheless, current methods, references and alternatives, take up to several days and require many handling steps. In order to improve pathogen detection in food, we developed an immune-sensor, based on Surface Plasmon Resonance imaging (SPRi) and bacterial growth which allows the detection of a very low number of Listeria monocytogenes in food sample in one day. Adequate sensitivity is achieved by the deposition of several antibodies in a micro-array format allowing real-time detection. This label-free method thus reduces handling and time to result compared with current methods.
Validation of Endogenous Internal Real-Time PCR Controls in Renal Tissues

PubMed Central

Cui, Xiangqin; Zhou, Juling; Qiu, Jing; Johnson, Martin R.; Mrug, Michal

2009-01-01

Background Endogenous internal controls (‘reference’ or ‘housekeeping’ genes) are widely used in real-time PCR (RT-PCR) analyses. Their use relies on the premise of consistently stable expression across studied experimental conditions. Unfortunately, none of these controls fulfills this premise across a wide range of experimental conditions; consequently, none of them can be recommended for universal use. Methods To determine which endogenous RT-PCR controls are suitable for analyses of renal tissues altered by kidney disease, we studied the expression of 16 commonly used ‘reference genes’ in 7 mildly and 7 severely affected whole kidney tissues from a well-characterized cystic kidney disease model. Expression levels of these 16 genes, determined by TaqMan® RT-PCR analyses and Affymetrix GeneChip® arrays, were normalized and tested for overall variance and equivalence of the means. Results Both statistical approaches and both TaqMan- and GeneChip-based methods converged on 3 out of the 4 top-ranked genes (Ppia, Gapdh and Pgk1) that had the most constant expression levels across the studied phenotypes. Conclusion A combination of the top-ranked genes will provide a suitable endogenous internal control for similar studies of kidney tissues across a wide range of disease severity. PMID:19729889
Can a bank crisis break your heart?

PubMed Central

Stuckler, David; Meissner, Christopher M; King, Lawrence P

2008-01-01

Background To assess whether a banking system crisis increases short-term population cardiovascular mortality rates. Methods International, longitudinal multivariate regression analysis of cardiovascular disease mortality data from 1960 to 2002 Results A system-wide banking crisis increases population heart disease mortality rates by 6.4% (95% CI: 2.5% to 10.2%, p < 0.01) in high income countries, after controlling for economic change, macroeconomic instability, and population age and social distribution. The estimated effect is nearly four times as large in low income countries. Conclusion Banking crises are a significant determinant of short-term increases in heart disease mortality rates, and may have more severe consequences for developing countries. PMID:18197979
Streptococcus pneumoniae Coinfection Is Correlated with the Severity of H1N1 Pandemic Influenza

PubMed Central

Cisterna, Daniel; Savji, Nazir; Bussetti, Ana Valeria; Kapoor, Vishal; Hui, Jeffrey; Tokarz, Rafal; Briese, Thomas; Baumeister, Elsa; Lipkin, W. Ian

2009-01-01

Background Initial reports in May 2009 of the novel influenza strain H1N1pdm estimated a case fatality rate (CFR) of 0.6%, similar to that of seasonal influenza. In July 2009, however, Argentina reported 3056 cases with 137 deaths, representing a CFR of 4.5%. Potential explanations for increased CFR included virus reassortment or genetic drift, or infection of a more vulnerable population. Virus genomic sequencing of 26 Argentinian samples representing both severe and mild disease indicated no evidence of reassortment, mutations associated with resistance to antiviral drugs, or genetic drift that might contribute to virulence. Furthermore, no evidence was found for increased frequency of risk factors for H1N1pdm disease. Methods/Principal Findings We examined nasopharyngeal swab samples (NPS) from 199 cases of H1N1pdm infection from Argentina with MassTag PCR, testing for 33 additional microbial agents. The study population consisted of 199 H1N1pdm-infected subjects sampled between 23 June and 4 July 2009. Thirty-nine had severe disease defined as death (n = 20) or hospitalization (n = 19); 160 had mild disease. At least one additional agent of potential pathogenic importance was identified in 152 samples (76%), including Streptococcus pneumoniae (n = 62); Haemophilus influenzae (n = 104); human respiratory syncytial virus A (n = 11) and B (n = 1); human rhinovirus A (n = 1) and B (n = 4); human coronaviruses 229E (n = 1) and OC43 (n = 2); Klebsiella pneumoniae (n = 2); Acinetobacter baumannii (n = 2); Serratia marcescens (n = 1); and Staphylococcus aureus (n = 35) and methicillin-resistant S. aureus (MRSA, n = 6). The presence of S. pneumoniae was strongly correlated with severe disease. S. pneumoniae was present in 56.4% of severe cases versus 25% of mild cases; more than one-third of H1N1pdm NPS with S. pneumoniae were from subjects with severe disease (22 of 62 S. pneumoniae-positive NPS, p = 0.0004). In subjects 6 to 55 years of age, the adjusted odds ratio (OR) of severe disease in the presence of S. pneumoniae was 125.5 (95% confidence interval [CI], 16.95, 928.72; p<0.0001). Conclusions/Significance The association of S. pneumoniae with morbidity and mortality is established in the current and previous influenza pandemics. However, this study is the first to demonstrate the prognostic significance of non-invasive antemortem diagnosis of S. pneumoniae infection and may provide insights into clinical management. PMID:20046873
IBD-related work disability in the community: Prevalence, severity and predictive factors. A cross-sectional study

PubMed Central

Ramos, Alexis; Sicilia, Beatriz; Vergara, Mercedes; Figuerola, Ariadna; Motos, Jaume; Sastre, Adoración; Villoria, Albert; Gomollón, Fernando

2015-01-01

Background and aims Data on the prevalence of work disability in patients with inflammatory bowel disease (IBD) are heterogeneous. As most studies have been performed in selected, often severe, IBD patients, the true prevalence of disability in the community remains controversial. The aim of this cross-sectional study was to evaluate the prevalence and severity of disability and its predictive factors in a community-based IBD population. Patients and methods Patients recorded in the community-based IBD register at the Hospital Universitario de Burgos were contacted. After informed consent they completed a set of questionnaires including demographic, clinical, disability and quality of life data. The statistical study was performed using SPSS 21. Results A total of 293 patients were included – 151 Crohn's disease (CD), 142 ulcerative colitis (UC), 137 female, mean age: 45 ± 11 years, mean time since diagnosis: 10.6 ± 11 years. Twelve patients (4.1%) had a work-disability pension. In addition, 93 (32%) of all patients had an officially recognized disability degree, which was generally moderate (n = 73, 25%) or severe (N = 16, 5%). Age, time since IBD diagnosis, CD, perianal disease, incontinence, active disease, the need for anti-TNF or psychological treatment, previous surgeries and the number of diagnostic tests and medical visits in the previous year were predictors of disability. Major predictors of qualifying for a disability pension were age, IBD activity, incontinence, need for biological drugs and ostomy. Conclusion Mild to moderate work disability is frequent in IBD. However, only a minority of patients develop severe disability qualifying them for a pension. PMID:26279841
Utility of warning signs in guiding admission and predicting severe disease in adult dengue

PubMed Central

2013-01-01

Background The recommendation from the 2009 World Health Organization guidelines for managing dengue suggests that patients with any warning sign can be hospitalized for observation and management. We evaluated the utility of using warning signs to guide hospital admission and predict disease progression in adults. Methods We conducted a prospective cohort study from January 2010 to September 2012. Daily demographic, clinical and laboratory data were collected from adult dengue patients. Warning signs were recorded. The proportion of admitted patients using current admission criteria and warning signs was compared. The sensitivity, specificity, positive and negative predictive values of warning signs in predicting disease progression were also evaluated. Results Four hundred and ninety-nine patients with confirmed dengue were analyzed. Using warning signs instead of the current admission criteria will lead to a 44% and 31% increase in admission for DHF II-IV and SD cases respectively. The proportion of non-severe dengue cases which were admitted also increased by 32% for non DHF II-IV and 33% for non-SD cases. Absence of any warning signs had a NPV of 91%, 100% and 100% for DHF I-IV, DHF II-IV and SD. Of those who progressed to severe illness, 16.3% had warning signs on the same day while 51.3% had warning signs the day before developing severe illness, respectively. Conclusions Our findings demonstrated that patients without any warning signs can be managed safely with ambulatory care to reduce hospital resource burden. No single warning sign can independently predict disease progression. The window from onset of warning sign to severe illness in most cases was within one day. PMID:24152678
Limb Stress-Rest Perfusion Imaging With Contrast Ultrasound For The Assessment Of Peripheral Arterial Disease Severity

PubMed Central

Lindner, Jonathan R.; Womack, Lisa; Barrett, Eugene J.; Feltman, Judy; Price, Wendy; Harthun, Nancy L.; Kaul, Sanjiv; Patrie, James T.

2009-01-01

Objectives We hypothesized that lower extremity stress-rest perfusion imaging with contrast-enhanced ultrasound (CEU) could evaluate the severity of peripheral arterial disease (PAD). Background Perfusion imaging may provide valuable quantitative information on PAD, particularly in patients with diabetes in whom microvascular functional abnormalities are common. Methods Twenty-six control subjects and 39 patients with symptomatic PAD, 19 with type-2 diabetes mellitus, were studied. Claudication threshold was determined by a modified treadmill exercise test. Bilateral pulse-volume recordings, ankle-brachial index (ABI), and post-exercise ABI were performed. CEU perfusion imaging of the gastrocnemius and soleus was performed at rest and after 2 min of plantar-flexion exercise. Results During exercise, claudication occurred earlier in PAD patients with diabetes than without. Muscle blood flow during plantar-flexion exercise was lower (p<0.05) in patients with PAD (10.4±6.7) and PAD with diabetes (7.9±5.9) compared to control subjects (20.0±9.5). After adjusting for diabetes, the only diagnostic tests that predicted severity of disease defined by claudication threshold were CEU exercise blood flow (odds ratios: 0.67 [95% CI (0.51 to 0.88); p=0.003], and flow reserve (odds ratio: 0.64 [95% CI (0.46 to 0.89), p=0.008]). A multivariate model incorporating all non-invasive diagnostic tests indicated that the best models for predicting severity of disease were the combination of presence of diabetes and either exercise blood flow or flow reserve. Conclusions Limb microvascular perfusion imaging during exercise can be evaluated by CEU. Skeletal muscle blood flow during exercise and flow reserve are impaired in patients with PAD and correlate with the severity of symptoms. PMID:19356447
Severity of maternal HIV-1 disease is associated with adverse birth outcomes in Malawian women: a cohort study

PubMed Central

Turner, Abigail Norris; Tabbah, Sammy; Mwapasa, Victor; Rogerson, Stephen J.; Meshnick, Steven R.; Ackerman, William; Kwiek, Jesse J.

2014-01-01

Background Compared to HIV-negative women, HIV-infected women have increased risk of low birth weight (LBW) and preterm delivery (PTD). We assessed whether severity of maternal HIV-1 disease was associated with LBW or PTD. Methods Secondary analysis of The Malaria and HIV in Pregnancy prospective cohort, which enrolled HIV-positive, pregnant Malawian women from 2000–2004. Included participants (n=809) were normotensive, antiretroviral treatment naïve women who delivered a live, singleton infant. Binomial regression models were used to assess the unadjusted and adjusted prevalence ratios (PRs) and 95% confidence intervals (CI) of the effect of severity of HIV-1 disease, defined by viral load and CD4-positive T-cell counts, on prevalence of LBW and PTD. Results In unadjusted analyses, among those with malaria (n=198), there was no association between severity of HIV-1 infection and LBW, while among women without malaria (n=611), we observed a harmful association between both increasing peripheral viral load and LBW (PR: 1.44 per one-log10 increase, 95% CI: 1.12, 1.86) and placental viral load and LBW (PR: 1.24 per one-log10 increase, 95% CI: 1.00, 1.53). We observed a similar association between increasing placental viral load and PTD (PR: 1.33 per one-log10 increase, 95% CI: 1.04, 1.69). These associations persisted in multivariate models adjusted for residence, maternal education, primigravid status, and maternal anemia. Conclusions In malaria-negative women, maternal HIV-1 disease severity was significantly associated with increased prevalence of LBW and PTD. Such an association was not found in the malaria-infected women. PMID:23846560
ACUTE PANCREATITIS GRAVITY PREDICTIVE FACTORS: WHICH AND WHEN TO USE THEM?

PubMed Central

FERREIRA, Alexandre de Figueiredo; BARTELEGA, Janaina Alves; URBANO, Hugo Corrêa de Andrade; de SOUZA, Iure Kalinine Ferraz

2015-01-01

Introduction: Acute pancreatitis has as its main causes lithiasic biliary disease and alcohol abuse. Most of the time, the disease shows a self-limiting course, with a rapid recovery, only with supportive treatment. However, in a significant percentage of cases, it runs with important local and systemic complications associated with high mortality rates. Aim: To present the current state of the use of these prognostic factors (predictive scores) of gravity, as the time of application, complexity and specificity. Method: A non-systematic literature review through 28 papers, with emphasis on 13 articles published in indexed journals between 2008 and 2013 using Lilacs, Medline, Pubmed. Results: Several clinical, laboratory analysis, molecular and image variables can predict the development of severe acute pancreatitis. Some of them by themselves can be determinant to the progression of the disease to a more severe form, such as obesity, hematocrit, age and smoking. Hematocrit with a value lower than 44% and serum urea lower than 20 mg/dl, both at admission, appear as risk factors for pancreatic necrosis. But the PCR differentiates mild cases of serious ones in the first 24 h. Multifactorial scores measured on admission and during the first 48 h of hospitalization have been used in intensive care units, being the most ones used: Ranson, Apache II, Glasgow, Iget and Saps II. Conclusion: Acute pancreatitis is a disease in which several prognostic factors are employed being useful in predicting mortality and on the development of the severe form. It is suggested that the association of a multifactorial score, especially the Saps II associated with Iget, may increase the prognosis accuracy. However, the professional's preferences, the experience on the service as well as the available tools, are factors that have determined the choice of the most suitable predictive score. PMID:26537149
Prevalence of pulmonary artery hypertension in patients of chronic obstructive pulmonary disease and its correlation with stages of chronic obstructive pulmonary disease, exercising capacity, and quality of life

PubMed Central

Gupta, Kamlesh Kumar; Roy, Bidyut; Chaudhary, Shyam Chand; Mishra, Arvind; Patel, M. L.; Singh, Jitendra; Kumar, Vivek

2018-01-01

Background: Pulmonary arterial hypertension (PAH) is a complication of chronic obstructive pulmonary disease (COPD) in advance stages, and its presence indicates poor prognosis. Aims and Objective: The present study was design to know the prevalence of PAH in patients with COPD and its correlation with stages of COPD, exercising capacity, and quality of life. Materials and Methods: It is a cross-sectional prevalence study over a period of 1 year from August 2015 to July 2016. The study included 109 COPD patients, diagnosed by spirometry, and severity was determined according Global Initiative for Chronic Obstructive Lung Disease (GOLD) classification criteria. Screening two-dimensional echocardiography was done to determine pulmonary arterial hypertension and exercising capacity assessed by 6 min walk test (6MWT) while the quality of life was assessed by St George respiratory Questionnaire for COPD (SGRQ-C) Questionnaires. Results: Out of 109 patients, PAH was present in 68 (62.4%) cases consisting of mild grade 41 (37.6%), moderate grade 11 (10.1%), and severe grade 16 (14.7%). In GOLD A stage, there were 20 cases of mild PAH and Stage B included 18 cases of mild and 3 cases of moderate PAH. Stage C had 3 cases of mild and 8 cases of moderate PAH while Stage D had 16 cases of severe PAH. In 6MWT, patients with severe grade PAH fail to perform the test while patients with mild to moderate PAH walked short distance. In SGRQ-C Questionnaires symptom, activity, impact, and total score were high with the severity of PAH. Conclusion: The prevalence of PAH in COPD was significant. Therefore, every COPD patient should be evaluated for PAH. PMID:29915733
Pitfalls in the detection of cholesterol in Huntington’s disease models

PubMed Central

Marullo, Manuela; Valenza, Marta; Leoni, Valerio; Caccia, Claudio; Scarlatti, Chiara; De Mario, Agnese; Zuccato, Chiara; Di Donato, Stefano; Carafoli, Ernesto; Cattaneo, Elena

2012-01-01

Background Abnormalities in brain cholesterol homeostasis have been reported in Huntington’s disease (HD), an adult-onset neurodegenerative disorder caused by an expansion in the number of CAG repeats in the huntingtin (HTT) gene. However, the results have been contradictory with respect to whether cholesterol levels increase or decrease in HD models. Biochemical and mass spectrometry methods show reduced levels of cholesterol precursors and cholesterol in HD cells and in the brains of several HD animal models. Abnormal brain cholesterol homeostasis was also inferred from studies in HD patients. In contrast, colorimetric and enzymatic methods indicate cholesterol accumulation in HD cells and tissues. Here we used several methods to investigate cholesterol levels in cultured cells in the presence or absence of mutant HTT protein. Results Colorimetric and enzymatic methods with low sensitivity gave variable results, whereas results from a sensitive analytical method, gas chromatography-mass spectrometry, were more reliable. Sample preparation, high cell density and cell clonality also influenced the detection of intracellular cholesterol. Conclusions Detection of cholesterol in HD samples by colorimetric and enzymatic assays should be supplemented by detection using more sensitive analytical methods. Care must be taken to prepare the sample appropriately. By evaluating lathosterol levels using isotopic dilution mass spectrometry, we confirmed reduced cholesterol biosynthesis in knock-in cells expressing the polyQ mutation in a constitutive or inducible manner. *Correspondence should be addressed to Elena Cattaneo: elena.cattaneo@unimi.it PMID:23145355
Recent advances in detection and control of infectious hematopoietic necrosis virus in aquaculture

USGS Publications Warehouse

Winton, James R.

1991-01-01

Infectious hematopoietic necrosis (IHN) is one of the most important viral diseases of salmon and trout reared in culture. The disease remains untreatable with avoidance being the only control measure. Much has been learned about the chemical, physical, and serological characteristics of the rhabdovirus causing IHN, but critical gaps exist in our understanding of the biology of the virus in nature. The tools of molecular biology have provided improved methods for detection of pathogens and new strategies for control of viral diseases. This paper reviews several recent improvements in methods for detecting infectious hematopoietic necrosis virus including the application of enzyme-linked immunosorbent assays, development of monoclonal antibodies and DNA probes, and use of the polymerase chain reaction. New strategies for control of IHN through the use of better water treatment, more resistant fish, antiviral drugs or chemicals, and new generation vaccines are discussed.
[What should we know about cardiac amyloidosis? From clinical signs to treatment].

PubMed

Földeák, Dóra; Nemes, Attila; Kalapos, Anita; Domsik, Péter; Kormányos, Árpád; Krenács, László; Bagdi, Enikő; Borbényi, Zita

2017-11-01

Systemic amyloidosis is a rare disease, in which the heart involvement is rather frequent and determines survival remarkably. Regarding the disease and organ involvement, new diagnostic procedures help to establish the diagnosis and to start the adequate treatment as soon as possible. Cardiac involvement is more likely to be characterised by monoclonal immunglobulin free light chain (AL amyloidosis) type and transthyretin type. In case of AL amyloidosis, heart involvement can lead to serious consequences. Biomarker assessments for cardiac function are important to determine disease severity at the beginning and to measure response to the treatment. In case of amyloidosis, the incidence of the heart involvement grows with age. The prevalence is not known exactly, but probably there are more cases than recognised. The authors present the clinical signs and diagnostic methods, emphasizing the importance of the cardiac examination methods. Orv Hetil. 2017; 158(46): 1811-1818.

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