The Usefulness of Clinical-Practice-Based Laboratory Data in Facilitating the Diagnosis of Dengue Illness

PubMed Central

Liu, Jien-Wei; Lee, Ing-Kit; Wang, Lin; Chen, Rong-Fu; Yang, Kuender D.

2013-01-01

Alertness to dengue and making a timely diagnosis is extremely important in the treatment of dengue and containment of dengue epidemics. We evaluated the complementary role of clinical-practice-based laboratory data in facilitating suspicion/diagnosis of dengue. One hundred overall dengue (57 dengue fever [DF] and 43 dengue hemorrhagic fever [DHF]) cases and another 100 nondengue cases (78 viral infections other than dengue, 6 bacterial sepsis, and 16 miscellaneous diseases) were analyzed. We separately compared individual laboratory variables (platelet count [PC] , prothrombin time [PT], activated partial thromboplastin time [APTT], alanine aminotransferase [ALT], and aspartate aminotransferase [AST]) and varied combined variables of DF and/or DHF cases with the corresponding ones of nondengue cases. The sensitivity, specificity, accuracy, positive predictive value (PPV), and negative predictive value (NPV) in the diagnosis of DF and/or DHF were measured based on these laboratory variables. While trade-off between sensitivity and specificity, and/or suboptimal PPV/NPV was found at measurements using these variables, prolonged APTT + normal PT + PC < 100 × 109 cells/L had a favorable sensitivity, specificity, PPV, and NPV in diagnosis of DF and/or DHF. In conclusion, these data suggested that prolonged APTT + normal PT + PC < 100 × 109 cells/L is useful in evaluating the likelihood of DF and/or DHF. PMID:24455678

Differential Diagnosis of Jakob-Creutzfeldt Disease

PubMed Central

Paterson, Ross W.; Torres-Chae, Charles C.; Kuo, Amy L.; Ando, Tim; Nguyen, Elizabeth A.; Wong, Katherine; DeArmond, Stephen J.; Haman, Aissa; Garcia, Paul; Johnson, David Y.; Miller, Bruce L.; Geschwind, Michael D.

2015-01-01

Objectives To identify the misdiagnoses of patients with sporadic Jakob-Creutzfeldt disease (sCJD) during the course of their disease and determine which medical specialties saw patients with sCJD prior to the correct diagnosis being made and at what point in the disease course a correct diagnosis was made. Design Retrospective medical record review. Setting A specialty referral center of a tertiary academic medical center. Participants One hundred sixty-three serial patients over a 5.5-year period who ultimately had pathologically proven sCJD. The study used the subset of 97 patients for whom we had adequate medical records. Main Outcome Measures Other diagnoses considered in the differential diagnosis and types of medical specialties assessing patients with sCJD. Results Ninety-seven subjects’ records were used in the final analysis. The most common disease categories of misdiagnosis were neurodegenerative, autoimmune/paraneoplastic, infectious, and toxic/metabolic disorders. The most common individual misdiagnoses were viral encephalitis, paraneoplastic disorder, depression, vertigo, Alzheimer disease, stroke, unspecified dementia, central nervous system vasculitis, peripheral neuropathy, and Hashimoto encephalopathy. The physicians who most commonly made these misdiagnoses were primary care physicians and neurologists; in the 18% of patients who were diagnosed correctly at their first assessment, the diagnosis was almost always by a neurologist. The mean time from onset to diagnosis was 7.9 months, an average of two-thirds of the way through their disease course. Conclusions Diagnosis of sCJD is quite delayed. When evaluating patients with rapidly progressive dementia with suspected neurodegenerative, autoimmune, infectious, or toxic/metabolic etiology, sCJD should also be included in the differential diagnosis, and appropriate diagnostic tests, such as diffusion brain magnetic resonance imaging, should be considered. Primary care physicians and neurologists

Australian children living with rare diseases: experiences of diagnosis and perceived consequences of diagnostic delays.

PubMed

Zurynski, Yvonne; Deverell, Marie; Dalkeith, Troy; Johnson, Sandra; Christodoulou, John; Leonard, Helen; Elliott, Elizabeth J

2017-04-11

family planning, only 44.8% received genetic counselling. Parents of children living with rare chronic and complex diseases have called for better education, resourcing of health professionals to prevent avoidable diagnostic delays, and to facilitate access to early interventions and treatments. Access to psychological support and genetic counselling should be available to all parents receiving a life-changing diagnosis for their child.

Model Organisms Facilitate Rare Disease Diagnosis and Therapeutic Research

PubMed Central

Wangler, Michael F.; Yamamoto, Shinya; Chao, Hsiao-Tuan; Posey, Jennifer E.; Westerfield, Monte; Postlethwait, John; Hieter, Philip; Boycott, Kym M.; Campeau, Philippe M.; Bellen, Hugo J.

2017-01-01

Efforts to identify the genetic underpinnings of rare undiagnosed diseases increasingly involve the use of next-generation sequencing and comparative genomic hybridization methods. These efforts are limited by a lack of knowledge regarding gene function, and an inability to predict the impact of genetic variation on the encoded protein function. Diagnostic challenges posed by undiagnosed diseases have solutions in model organism research, which provides a wealth of detailed biological information. Model organism geneticists are by necessity experts in particular genes, gene families, specific organs, and biological functions. Here, we review the current state of research into undiagnosed diseases, highlighting large efforts in North America and internationally, including the Undiagnosed Diseases Network (UDN) (Supplemental Material, File S1) and UDN International (UDNI), the Centers for Mendelian Genomics (CMG), and the Canadian Rare Diseases Models and Mechanisms Network (RDMM). We discuss how merging human genetics with model organism research guides experimental studies to solve these medical mysteries, gain new insights into disease pathogenesis, and uncover new therapeutic strategies. PMID:28874452

Molecular Diagnosis of Infantile Mitochondrial Disease with Targeted Next-Generation Sequencing

PubMed Central

Calvo, Sarah E.; Compton, Alison G.; Hershman, Steven G.; Lim, Sze Chern; Lieber, Daniel S.; Tucker, Elena J.; Laskowski, Adrienne; Garone, Caterina; Liu, Shangtao; Jaffe, David B.; Christodoulou, John; Fletcher, Janice M.; Bruno, Damien L; Goldblatt, Jack; DiMauro, Salvatore; Thorburn, David R.; Mootha, Vamsi K.

2012-01-01

Advances in next-generation sequencing (NGS) promise to facilitate diagnosis of inherited disorders. While in research settings NGS has pinpointed causal alleles using segregation in large families, the key challenge for clinical diagnosis is application to single individuals. To explore its diagnostic utility, we performed targeted NGS in 42 unrelated infants with clinical and biochemical evidence of mitochondrial oxidative phosphorylation disease, who were refractory to traditional molecular diagnosis. These devastating mitochondrial disorders are characterized by phenotypic and genetic heterogeneity, with over 100 causal genes identified to date. We performed “MitoExome” sequencing of the mitochondrial DNA (mtDNA) and exons of ~1000 nuclear genes encoding mitochondrial proteins and prioritized rare mutations predicted to disrupt function. Since patients and controls harbored a comparable number of such heterozygous alleles, we could not prioritize dominant acting genes. However, patients showed a five-fold enrichment of genes with two such mutations that could underlie recessive disease. In total, 23/42 (55%) patients harbored such recessive genes or pathogenic mtDNA variants. Firm diagnoses were enabled in 10 patients (24%) who had mutations in genes previously linked to disease. 13 patients (31%) had mutations in nuclear genes never linked to disease. The pathogenicity of two such genes, NDUFB3 and AGK, was supported by cDNA complementation and evidence from multiple patients, respectively. The results underscore the immediate potential and challenges of deploying NGS in clinical settings. PMID:22277967

Parkinson's Disease: Diagnosis and Treatment

MedlinePlus

... of this page please turn JavaScript on. Feature: Parkinson's Disease Parkinson's Disease: Diagnosis and Treatment Past Issues / Winter 2014 Table of Contents Medications for Parkinson's disease can help many patients live productive lives and ...

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

Effect of delayed diagnosis on disease course and management of Churg-Strauss syndrome: a retrospective study.

PubMed

Sokołowska, Barbara; Szczeklik, Wojciech; Mastalerz, Lucyna; Kuczia, Paweł; Wodkowski, Michał; Stodółkiewicz, Edyta; Macioł, Karolina; Musiał, Jacek

2013-03-01

Delayed diagnosis in patients with Churg-Strauss syndrome (CSS) is largely attributed to the variable and nonspecific presentation of the disease's initial symptoms. The aim of the study was to evaluate the effect of delayed diagnosis on the course of CSS. We conducted a retrospective study of 30 CSS patients followed up in our department. In each patient, we assessed the delay in CSS diagnosis (the time when patients already fulfilled four out of six of the American College of Rheumatology criteria and the diagnosis was not yet established), the disease activity at the time of diagnosis, and organ involvement during CSS course. A median value of 2 weeks was chosen as the cutoff point after which the diagnosis was considered as delayed. Sixteen patients were diagnosed before (group 1) and 14 patients after this cutoff point (group 2). In group 2, we found a higher Birmingham Vasculitis Activity Score at the moment of diagnosis (20.4 vs 25.1, p < 0.05) and a more severe disease course, resulting in more frequent hospitalization rates (0.64 vs 2.26/year, p < 0.00001), higher corticosteroids dose requirements (5.87 vs 11.57 mg/day converted to methylprednisolone, p < 0.0001), and additional immunosuppressive therapy administration (56.2 vs 92.8 %, p < 0.05) to maintain disease remission. All six perinuclear pattern of antineutrophil cytoplasmic antibobodies (pANCA)-positive patients (20 %) were found in group 1. Concluding, the delay in diagnosis of CSS of more than 2 weeks was found to be associated with a disease course that was more severe. The presence of the pANCA antibodies may occasionally facilitate establishment of the diagnosis.

[Initial diagnosis of Parkinson's disease - neuroradiological diagnosis].

PubMed

Orimo, Satoshi

2013-01-01

Brain MRI is essential for differentiating Parkinson's disease (PD) from other parkinsonian syndromes. The purpose of performing brain MRI is not to make a diagnosis of PD but is to exclude other parkinsonian syndromes. Recently, several new MRI techniques such as voxel based morphometry, relaxometry, magnetization transfer, spectroscopy, tractography, and functional MRI have been introduced in the diagnosis of PD. Neuromelanin imaging is one of the new techniques and can be useful to make an initial diagnosis of PD. MIBG myocardial scintigraphy is a sensitive imaging tool to differentiate PD from other parkinsonian syndromes and is one of the good tools to make an initial diagnosis of PD. Brain perfusion imaging is sometimes useful to make an initial diagnosis of PD, because reduced brain perfusion area can be detected before brain MRI detects morphological changes of the brain. Dopamine transporter imaging, not available in Japan, is a sensitive tool to detect very early parkinsonism and is useful to make an initial diagnosis of PD. However, it is difficult to differentiate PD from other parkinsonian syndromes.

Phenotype at diagnosis predicts recurrence rates in Crohn's disease.

PubMed

Wolters, F L; Russel, M G; Sijbrandij, J; Ambergen, T; Odes, S; Riis, L; Langholz, E; Politi, P; Qasim, A; Koutroubakis, I; Tsianos, E; Vermeire, S; Freitas, J; van Zeijl, G; Hoie, O; Bernklev, T; Beltrami, M; Rodriguez, D; Stockbrügger, R W; Moum, B

2006-08-01

In Crohn's disease (CD), studies associating phenotype at diagnosis and subsequent disease activity are important for patient counselling and health care planning. To calculate disease recurrence rates and to correlate these with phenotypic traits at diagnosis. A prospectively assembled uniformly diagnosed European population based inception cohort of CD patients was classified according to the Vienna classification for disease phenotype at diagnosis. Surgical and non-surgical recurrence rates throughout a 10 year follow up period were calculated. Multivariate analysis was performed to classify risk factors present at diagnosis for recurrent disease. A total of 358 were classified for phenotype at diagnosis, of whom 262 (73.2%) had a first recurrence and 113 patients (31.6%) a first surgical recurrence during the first 10 years after diagnosis. Patients with upper gastrointestinal disease at diagnosis had an excess risk of recurrence (hazard ratio 1.54 (95% confidence interval (CI) 1.13-2.10)) whereas age >/=40 years at diagnosis was protective (hazard ratio 0.82 (95% CI 0.70-0.97)). Colonic disease was a protective characteristic for resective surgery (hazard ratio 0.38 (95% CI 0.21-0.69)). More frequent resective surgical recurrences were reported from Copenhagen (hazard ratio 3.23 (95% CI 1.32-7.89)). A mild course of disease in terms of disease recurrence was observed in this European cohort. Phenotype at diagnosis had predictive value for disease recurrence with upper gastrointestinal disease being the most important positive predictor. A phenotypic North-South gradient in CD may be present, illustrated by higher surgery risks in some of the Northern European centres.

Phenotype at diagnosis predicts recurrence rates in Crohn's disease

PubMed Central

Wolters, F L; Russel, M G; Sijbrandij, J; Ambergen, T; Odes, S; Riis, L; Langholz, E; Politi, P; Qasim, A; Koutroubakis, I; Tsianos, E; Vermeire, S; Freitas, J; van Zeijl, G; Hoie, O; Bernklev, T; Beltrami, M; Rodriguez, D; Stockbrügger, R W; Moum, B

2006-01-01

Background In Crohn's disease (CD), studies associating phenotype at diagnosis and subsequent disease activity are important for patient counselling and health care planning. Aims To calculate disease recurrence rates and to correlate these with phenotypic traits at diagnosis. Methods A prospectively assembled uniformly diagnosed European population based inception cohort of CD patients was classified according to the Vienna classification for disease phenotype at diagnosis. Surgical and non‐surgical recurrence rates throughout a 10 year follow up period were calculated. Multivariate analysis was performed to classify risk factors present at diagnosis for recurrent disease. Results A total of 358 were classified for phenotype at diagnosis, of whom 262 (73.2%) had a first recurrence and 113 patients (31.6%) a first surgical recurrence during the first 10 years after diagnosis. Patients with upper gastrointestinal disease at diagnosis had an excess risk of recurrence (hazard ratio 1.54 (95% confidence interval (CI) 1.13–2.10)) whereas age ⩾40 years at diagnosis was protective (hazard ratio 0.82 (95% CI 0.70–0.97)). Colonic disease was a protective characteristic for resective surgery (hazard ratio 0.38 (95% CI 0.21–0.69)). More frequent resective surgical recurrences were reported from Copenhagen (hazard ratio 3.23 (95% CI 1.32–7.89)). Conclusions A mild course of disease in terms of disease recurrence was observed in this European cohort. Phenotype at diagnosis had predictive value for disease recurrence with upper gastrointestinal disease being the most important positive predictor. A phenotypic North‐South gradient in CD may be present, illustrated by higher surgery risks in some of the Northern European centres. PMID:16361306

Barriers to Diagnosis Access for Chagas Disease in Colombia

PubMed Central

Toquica Gahona, Christian Camilo; Rodríguez Hernández, Jorge Martín

2018-01-01

Chagas disease is the leading cause of nonischemic cardiomyopathy in Latin America. Timely access to diagnosis and trypanocidal treatment and preventive tools for millions of infected people continues to be a challenge. The purpose of this study was to identify potential barriers for the diagnosis of Chagas disease in Colombia from the perspective of healthcare providers. Using a simultaneous mixed-methods study design, we analyzed trends in access to screening and diagnosis for Chagas disease in Colombia and assessed the national barriers to access. The main barriers to access at the national level included a limited governmental public health infrastructure for the diagnosis of Chagas disease and limited physician awareness and knowledge of the disease. Data indicate that 1.5% of total expected cases based on national prevalence estimates were reported. Few public health laboratories have the capacity to perform complementary tests for the diagnosis of Chagas disease and almost 6 months elapse between the requests of the tests and the confirmation of the disease. This study shows that infected people must overcome a number of barriers to achieve diagnosis. Reducing barriers to early diagnosis of Chagas disease is an important goal in the fight against the disease. PMID:29568648

Survival after initial diagnosis of Alzheimer disease.

PubMed

Larson, Eric B; Shadlen, Marie-Florence; Wang, Li; McCormick, Wayne C; Bowen, James D; Teri, Linda; Kukull, Walter A

2004-04-06

Alzheimer disease is an increasingly common condition in older people. Knowledge of life expectancy after the diagnosis of Alzheimer disease and of associations of patient characteristics with survival may help planning for future care. To investigate the course of Alzheimer disease after initial diagnosis and examine associations hypothesized to correlate with survival among community-dwelling patients with Alzheimer disease. Prospective observational study. An Alzheimer disease patient registry from a base population of 23 000 persons age 60 years and older in the Group Health Cooperative, Seattle, Washington. 521 newly recognized persons with Alzheimer disease enrolled from 1987 to 1996 in an Alzheimer disease patient registry. Baseline measurements included patient demographic features, Mini-Mental State Examination score, Blessed Dementia Rating Scale score, duration since reported onset of symptoms, associated symptoms, comorbid conditions, and selected signs. Survival was the outcome of interest. The median survival from initial diagnosis was 4.2 years for men and 5.7 years for women with Alzheimer disease. Men had poorer survival across all age groups compared with females. Survival was decreased in all age groups compared with the life expectancy of the U.S. population. Predictors of mortality based on proportional hazards models included a baseline Mini-Mental State Examination score of 17 or less, baseline Blessed Dementia Rating Scale score of 5.0 or greater, presence of frontal lobe release signs, presence of extrapyramidal signs, gait disturbance, history of falls, congestive heart failure, ischemic heart disease, and diabetes at baseline. The base population, although typical of the surrounding Seattle community, may not be representative of other, more diverse populations. In this sample of community-dwelling elderly persons who received a diagnosis of Alzheimer disease, survival duration was shorter than predicted on the basis of U.S. population

Celiac Disease Diagnosis: Endoscopic Biopsy

MedlinePlus

... tissue samples are also vital to an accurate diagnosis—celiac disease can cause patchy lesions in the duodenum which ... to perform an intestinal biopsy to establish the diagnosis of celiac disease in a patient with DH; the skin biopsy ...

Laboratory diagnosis of von Willebrand's disease.

PubMed

Rick, M E

1994-12-01

The diagnosis of von Willebrand's disease is becoming complex as more is understood about the disease. Clinical information and laboratory data are necessary for the diagnosis because of the overlap of normal and abnormal laboratory values. A complete evaluation including von Willebrand factor multimers, ristocetin-induced platelet aggregation, factor VIII activity level, and a template bleeding time is necessary to correctly classify the patient so that optimal treatment may be given.

Network Approach to Disease Diagnosis

NASA Astrophysics Data System (ADS)

Sharma, Amitabh; Bashan, Amir; Barabasi, Alber-Laszlo

2014-03-01

Human diseases could be viewed as perturbations of the underlying biological system. A thorough understanding of the topological and dynamical properties of the biological system is crucial to explain the mechanisms of many complex diseases. Recently network-based approaches have provided a framework for integrating multi-dimensional biological data that results in a better understanding of the pathophysiological state of complex diseases. Here we provide a network-based framework to improve the diagnosis of complex diseases. This framework is based on the integration of transcriptomics and the interactome. We analyze the overlap between the differentially expressed (DE) genes and disease genes (DGs) based on their locations in the molecular interaction network (''interactome''). Disease genes and their protein products tend to be much more highly connected than random, hence defining a disease sub-graph (called disease module) in the interactome. DE genes, even though different from the known set of DGs, may be significantly associated with the disease when considering their closeness to the disease module in the interactome. This new network approach holds the promise to improve the diagnosis of patients who cannot be diagnosed using conventional tools. Support was provided by HL066289 and HL105339 grants from the U.S. National Institutes of Health.

Increased risk of non-alcoholic fatty liver disease after diagnosis of celiac disease.

PubMed

Reilly, Norelle R; Lebwohl, Benjamin; Hultcrantz, Rolf; Green, Peter H R; Ludvigsson, Jonas F

2015-06-01

Non-alcoholic fatty liver disease is a common cause of chronic liver disease. Celiac disease alters intestinal permeability and treatment with a gluten-free diet often causes weight gain, but so far there are few reports of non-alcoholic fatty liver disease in patients with celiac disease. Population-based cohort study. We compared the risk of non-alcoholic fatty liver disease diagnosed from 1997 to 2009 in individuals with celiac disease (n = 26,816) to matched reference individuals (n = 130,051). Patients with any liver disease prior to celiac disease were excluded, as were individuals with a lifetime diagnosis of alcohol-related disorder to minimize misclassification of non-alcoholic fatty liver disease. Cox regression estimated hazard ratios for non-alcoholic fatty liver disease were determined. During 246,559 person-years of follow-up, 53 individuals with celiac disease had a diagnosis of non-alcoholic fatty liver disease (21/100,000 person-years). In comparison, we identified 85 reference individuals diagnosed with non-alcoholic fatty liver disease during 1,488,413 person-years (6/100,000 person-years). This corresponded to a hazard ratio of 2.8 (95% CI 2.0-3.8), with the highest risk estimates seen in children (HR = 4.6; 95% CI 2.3-9.1). The risk increase in the first year after celiac disease diagnosis was 13.3 (95% CI 3.5-50.3) but remained significantly elevated even beyond 15 years after the diagnosis of celiac disease (HR = 2.5; 95% CI 1.0-5.9). Individuals with celiac disease are at increased risk of non-alcoholic fatty liver disease compared to the general population. Excess risks were highest in the first year after celiac disease diagnosis, but persisted through 15 years after diagnosis with celiac disease. Copyright © 2015 European Association for the Study of the Liver. Published by Elsevier B.V. All rights reserved.

Simultaneous quadruple modal nonlinear optical imaging for gastric diseases diagnosis and characterization

NASA Astrophysics Data System (ADS)

Wang, Zi; Zheng, Wei; Lin, Jian; Huang, Zhiwei

2015-03-01

We report the development of a unique simultaneous quadruple-modal nonlinear optical microscopy (i.e., stimulated Raman scattering (SRS), second-harmonic generation (SHG), two-photon excitation fluorescence (TPEF), and third-harmonic generation (THG)) platform for characterization of the gastric diseases (i.e., gastritis, intestinal metaplasia (IM), intestinal type adenocarcinoma). SRS highlights the goblet cells found in IM. SHG images the distribution of collagen in lamina propria. Collagen is found to aggregate for intestinal type adenocarcinoma. TPEF reveals the cell morphology and can reflect the damage inside glands caused by the diseases. THG visualizes the nuclei with high spatial resolution, which facilitates the identification of neutrophils that are usually used as a feature of inflammation. This work shows that the co-registration of quadruple-modal images can be an effective means for diagnosis and characterization of gastric diseases at the cellular and molecular levels.

Early diagnosis of Parkinson's disease.

PubMed

Becker, Georg; Müller, Antje; Braune, Stefan; Büttner, Thomas; Benecke, Reiner; Greulich, Wolfgang; Klein, Wolfgang; Mark, Günter; Rieke, Jürgen; Thümler, Reiner

2002-10-01

In idiopathic Parkinson's disease (IPD) approximately 60 % of the nigrostriatal neurons of the substantia nigra (SN) are degenerated before neurologists can establish the diagnosis according to the widely accepted clinical diagnostic criteria. It is conceivable that neuroprotective therapy starting at such an 'advanced stage' of the disease will fail to stop the degenerative process. Therefore, the identification of patients at risk and at earlier stages of the disease appears to be essential for any successful neuroprotection. The discovery of several genetic mutations associated with IPD raises the possibility that these, or other biomarkers, of the disease may help to identify persons at risk of IPD. Transcranial ultrasound have shown susceptibility factors for IPD related to an increased iron load of the substantia nigra. In the early clinical phase, a number of motor and particularly non-motor signs emerge, which can be identified by the patients and physicians years before the diagnosis is made, notably olfactory dysfunction, depression, or 'soft' motor signs such as changes in handwriting, speech or reduced ambulatory arm motion. These signs of the early, prediagnostic phase of IPD can be detected by inexpensive and easy-to-administer tests. As one single instrument will not be sensitive enough, a battery of tests has to be composed measuring independent parameters of the incipient disease. Subjects with abnormal findings in this test battery should than be submitted to nuclear medicine examinations to quantify the extent of dopaminergic injury and to reach the goal of a reliable, early diagnosis.

[Steinert disease: abnormal onset or "casual" diagnosis?].

PubMed

Pempinello, R; Iannece, M D; Di Pierro, M

2001-01-01

The most frequent myopathy is "Steinert's disease" (also called myotonic dystrophy). We present a case of particular interest due to the way diagnosis was made. A 20-year-old male was transferred to our Department from another Hospital with a diagnosis of "acute liver disease". He presented with fever (39 degrees C), tetrahyposthenia, dehydration and spatial-temporal disorientation. The most apparent laboratory data was a significant increase in serum levels of creatine phosphokinase (196,260 IU/L; normal values < 50 IU/L). After therapy based on parenteral nutrition and steroids, our patient improved progressively, with normalization of laboratory values. Muscle biopsy and electromyography yielded a diagnosis of Steinert's disease, and the patient's mother was found to be the carrier of a myotonine-kinase gene mutation. In this case, the onset of what appeared to be an influenza-A virus infection (the only positive data observed in the serological analysis) permitted the diagnosis of a hereditary myopathy that had remained asymptomatic up to that time.

Chronic beryllium disease: Diagnosis and management

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

Rossman, M.D.

1996-10-01

Chronic beryllium disease is predominantly a pulmonary granulomatosis that was originally described in 1946. Symptoms usually include dyspnea and cough. Fever, anorexia, and weight loss are common. Skin lesions are the most common extrathoracic manifestation. Granulomatous hepatitis, hypercalcemia, and kidney stones can also occur. Radiographic and physiologic abnormalities are similar to those in sarcoidosis. While traditionally the pathologic changes included granulomas and cellular interstitial changes, the hallmark of the disease today is the well-formed granuloma. Immunologic studies have demonstrated a cell-mediated response to beryllium that is due to an accumulation of CD4{sup +} T cells at the site of diseasemore » activity. Diagnosis depends on the demonstration of pathologic changes (i.e., granuloma) and evidence that the granuloma was caused by a hypersensitivity to beryllium (i.e., positive lung proliferative response to beryllium). Using these criteria, the diagnosis of chronic beryllium disease can now be made before the onset of clinical symptoms. Whether, with early diagnosis, the natural course of this condition will be the same as when it was traditionally diagnosed is not known. Currently, corticosteroids are used to treat patients with significant symptoms or evidence of progressive disease. 21 refs.« less

Barriers and Facilitators for Guidelines with Depression and Anxiety in Parkinson's Disease or Dementia.

PubMed

Goodarzi, Zahra; Hanson, Heather M; Jette, Nathalie; Patten, Scott; Pringsheim, Tamara; Holroyd-Leduc, Jayna

2018-06-01

ABSTRACTOur primary objective was to understand the barriers and facilitators associated with the implementation of high-quality clinical practice guidelines (CPGs) for depression and anxiety in patients with dementia or Parkinson's disease (PD). We conducted focus groups or interviews with participants experiencing dementia or PD, their caregivers, and physicians in Calgary, Alberta, and applied the theoretical domains framework and behaviour change wheel to guide data collection and perform a framework analysis. Thirty-three physicians and seven PD patients/caregivers participated. We report barriers and facilitators to the implementation of guideline recommendations for diagnosis, management, and the use of the guidelines. An overarching theme was the lack of evidence for depression or anxiety disorders in dementia or PD, which was prominent for anxiety versus depression. Patients noted difficulties with communicating symptoms and accessing services. Although guidelines are available, physicians have difficulty implementing certain recommendations due primarily to a lack of evidence regarding efficacy.

Enormous knowledge base of disease diagnosis criteria.

PubMed

Xiao, Z H; Xiao, Y H; Pei, J H

1995-01-01

One of the problems in the development of the medical knowledge systems is the limitations of the system's knowledge. It is a common expectation to increase the number of diseases contained in a system. Using a high density knowledge representation method designed by us, we have developed the Enormous Knowledge Base of Disease Diagnosis Criteria (EKBDDC). It contains diagnostic criteria of 1,001 diagnostic entities and describes nearly 4,000 items of diagnostic indicators. It is the core of a huge medical project--the Electronic-Brain Medical Erudite (EBME). This enormous knowledge base was implemented initially on a low-cost popular microcomputer, which can aid in the prompting of typical disease and in teaching of diagnosis. The knowledge base is easy to expand. One of the main goals of EKBDDC is to increase the number of diseases included in it as far as possible using a low-cost computer with a comparatively small storage capacity. For this, we have designed a high density knowledge representation method. Criteria of various diagnostic entities are respectively stored in different records of the knowledge base. Each diagnostic entity corresponds to a diagnostic criterion data set; each data set consists of some diagnostic criterion data values (Table 1); each data is composed of two parts: integer and decimal; the integral part is the coding number of the given diagnostic information, and the decimal part is the diagnostic value of this information to the disease indicated by corresponding record number. For example, 75.02: the integer 75 is the coding number of "hemorrhagic skin rash"; the decimal 0.02 is the diagnostic value of this manifestation for diagnosing allergic purpura. TABULAR DATA, SEE PUBLISHED ABSTRACT. The algebraic sum method, a special form of the weighted summation, is adopted as mathematical model. In EKBDDC, the diagnostic values, which represent the significance of the disease manifestations for diagnosing corresponding diseases, were

Emerging dilemmas in the diagnosis and management of gastroesophageal reflux disease

PubMed Central

Kahrilas, Peter; Yadlapati, Rena; Roman, Sabine

2017-01-01

Gastroesophageal reflux disease (GERD) is common, but less so than widely reported because of inconsistencies in definition. In clinical practice, the diagnosis is usually based on a symptom assessment without testing, and the extent of diagnostic testing pursued should be limited to that which guides management or which protects the patient from the risks of a potentially morbid treatment or an undetected early (or imminent) esophageal adenocarcinoma or which does both. When testing is pursued, upper gastrointestinal endoscopy is the most useful initial diagnostic test because it evaluates for the major potential morbidities (Barrett’s, stricture, and cancer) associated with GERD and facilitates the identification of some alternative diagnostic possibilities such as eosinophilic esophagitis. However, endoscopy is insensitive for diagnosing GERD because most patients with GERD have non-erosive reflux disease, a persistent diagnostic dilemma. Although many studies have tried to objectify the diagnosis of GERD with improved technology, this is ultimately a pragmatic diagnosis based on response to proton pump inhibitor (PPI) therapy, and, in the end, response to PPI therapy becomes the major indication for continued PPI therapy. Conversely, in the absence of objective criteria for GERD and the absence of apparent clinical benefit, PPI therapy is not indicated and should be discontinued. PPIs are well tolerated and safe, but nothing is perfectly safe, and in the absence of measurable benefit, even a miniscule risk dominates the risk-benefit assessment. PMID:29034088

Anemia of Chronic Disease and Iron Deficiency Anemia in Inflammatory Bowel Diseases: Pathophysiology, Diagnosis, and Treatment.

PubMed

Murawska, Natalia; Fabisiak, Adam; Fichna, Jakub

2016-05-01

Anemia coexists with inflammatory bowel disease (IBD) in up to two-thirds of patients, significantly impairing quality of life. The most common types of anemia in patients with IBD are iron deficiency anemia and anemia of chronic disease, which often overlap. In most cases, available laboratory tests allow successful diagnosis of iron deficiency, where difficulties appear, recently established indices such as soluble transferrin-ferritin ratio or percentage of hypochromic red cells are used. In this review, we discuss the management of the most common types of anemia in respect of the latest available data. Thus, we provide the mechanisms underlying pathophysiology of these entities; furthermore, we discuss the role of hepcidin in developing anemia in IBD. Next, we present the treatment options for each type of anemia and highlight the importance of individual choice of action. We also focus on newly developed intravenous iron preparations and novel, promising drug candidates targeting hepcidin. Concurrently, we talk about difficulties in differentiating between the true and functional iron deficiency, and discuss tools facilitating the process. Finally, we emphasize the importance of proper diagnosis and treatment of anemia in IBD. We conclude that management of anemia in patients with IBD is tricky, and appropriate screening of patients regarding anemia is substantial.

Molecular diagnosis of chronic granulomatous disease.

PubMed

Roos, D; de Boer, M

2014-02-01

Patients with chronic granulomatous disease (CGD) suffer from recurrent, life-threatening bacterial and fungal infections of the skin, the airways, the lymph nodes, liver, brain and bones. Frequently found pathogens are Staphylococcus aureus, Aspergillus species, Klebsiella species, Burkholderia cepacia and Salmonella species. CGD is a rare (∼1:250 000 births) disease caused by mutations in any one of the five components of the nicotinamide adenine dinucleotide phosphate (NADPH) oxidase in phagocytes. This enzyme generates superoxide and is essential for intracellular killing of pathogens by phagocytes. Molecular diagnosis of CGD involves measuring NADPH oxidase activity in phagocytes, measuring protein expression of NADPH oxidase components and mutation analysis of genes encoding these components. Residual oxidase activity is important to know for estimation of the clinical course and the chance of survival of the patient. Mutation analysis is mandatory for genetic counselling and prenatal diagnosis. This review summarizes the different assays available for the diagnosis of CGD, the precautions to be taken for correct measurements, the flow diagram to be followed, the assays for confirmation of the diagnosis and the determinations for carrier detection and prenatal diagnosis. © 2013 British Society for Immunology.

[Hirschsprung's disease: the immunohistochemistry as ancillary method for the diagnosis.

PubMed

Menchaca-Cervantes, Celestina; Rodríguez-Velasco, Alicia; Ramón-García, Guillermo; Rendón-Macías, Mario Enrique

2013-01-01

Background: the confirmatory diagnosis of Hirschsprung's disease is made by histopathological study. However, this procedure is limited with only hematoxylin and eosin staining, especially in biopsies of premature babies or when non-expert pathologists make the evaluation. The immunohistochemistry from ganglia cell calretinin has been used to reduce the risk of misdiagnosis. Our objective was to show the benefits of this antibody in diagnosis of Hirschsprung's disease in biopsy specimens. Methods: we evaluated patients with histopathological diagnosis of Hirschsprung's disease made by hematoxylin and eosin staining. We determined if there was enough paraffin block for immunohistochemistry with two markers: calretinin and neurofilaments. Three controls of autopsy of children under 3 years of age with other diagnosis were included. Results: of a total of 48 cases with histopathological diagnosis of Hirschsprung's disease only 13 had adequate tissue for immunohistochemistry. The immunohistochemistry confirmed the diagnosis in nine cases. In the other four cases there were initial misdiagnosis due to evidence of calretinin (ganglion cells) and, thus, Hirschsprung's disease was discarded. Conclusions: the use of immunohistochemistry allows confirming the diagnosis of Hirschsprung's disease and reduce the risk of a false-positive result with only hematoxylin and eosin staining.

Leveraging Collaborative Filtering to Accelerate Rare Disease Diagnosis

PubMed Central

Shen, Feichen; Liu, Sijia; Wang, Yanshan; Wang, Liwei; Afzal, Naveed; Liu, Hongfang

2017-01-01

In the USA, rare diseases are defined as those affecting fewer than 200,000 patients at any given time. Patients with rare diseases are frequently misdiagnosed or undiagnosed which may due to the lack of knowledge and experience of care providers. We hypothesize that patients’ phenotypic information available in electronic medical records (EMR) can be leveraged to accelerate disease diagnosis based on the intuition that providers need to document associated phenotypic information to support the diagnosis decision, especially for rare diseases. In this study, we proposed a collaborative filtering system enriched with natural language processing and semantic techniques to assist rare disease diagnosis based on phenotypic characterization. Specifically, we leveraged four similarity measurements with two neighborhood algorithms on 2010-2015 Mayo Clinic unstructured large patient cohort and evaluated different approaches. Preliminary results demonstrated that the use of collaborative filtering with phenotypic information is able to stratify patients with relatively similar rare diseases. PMID:29854225

Leveraging Collaborative Filtering to Accelerate Rare Disease Diagnosis.

PubMed

Shen, Feichen; Liu, Sijia; Wang, Yanshan; Wang, Liwei; Afzal, Naveed; Liu, Hongfang

2017-01-01

In the USA, rare diseases are defined as those affecting fewer than 200,000 patients at any given time. Patients with rare diseases are frequently misdiagnosed or undiagnosed which may due to the lack of knowledge and experience of care providers. We hypothesize that patients' phenotypic information available in electronic medical records (EMR) can be leveraged to accelerate disease diagnosis based on the intuition that providers need to document associated phenotypic information to support the diagnosis decision, especially for rare diseases. In this study, we proposed a collaborative filtering system enriched with natural language processing and semantic techniques to assist rare disease diagnosis based on phenotypic characterization. Specifically, we leveraged four similarity measurements with two neighborhood algorithms on 2010-2015 Mayo Clinic unstructured large patient cohort and evaluated different approaches. Preliminary results demonstrated that the use of collaborative filtering with phenotypic information is able to stratify patients with relatively similar rare diseases.

[RARE DISEASES DTC: DIAGNOSIS, TREATMENT AND CARE].

PubMed

Mendlovic, Joseph; Barash, Hila; Yardeni, Hadar; Banet-Levi, Yonit; Yonath, Hagith; Raas-Rothschild, Annick

2016-04-01

Rare diseases are chronic, progressive genetic disorders, which affect around 6-8% of the general population, mainly children. Therefore, in Israel approximately 500,000 people are probably affected by a rare disease. In this article, we review some of the issues pertaining to rare diseases, such as the need for accurate diagnosis which is necessary not only for specific care and treatment but also for informed family planning. In addition, we review the impact of the activities of patients' organizations on the awareness of rare diseases and their involvement in the creation of the Orphan Drug Act, which was the leading point on the way to drug development worldwide. During the last few years networks for reaching leading specialists' opinions on the way to proper diagnosis were created. Thereafter, the next generation genetic technologies, such as exome sequencing, have been a revolution in terms of options and hope for patients with rare undiagnosed diseases. Patients with rare diseases and their families are a challenge to the health care system, not only in terms of diagnosis and therapy, but also in terms of special needs. In addition, deciphering molecular pathways of rare diseases might be the key for understanding molecular events involved in common disorders. We emphasize the duty to ensure appropriate capacity and equal access to follow-up and clinical management of patients with rare diseases in Israel.

Biomarker detection for disease diagnosis using cost-effective microfluidic platforms.

PubMed

Sanjay, Sharma T; Fu, Guanglei; Dou, Maowei; Xu, Feng; Liu, Rutao; Qi, Hao; Li, XiuJun

2015-11-07

Early and timely detection of disease biomarkers can prevent the spread of infectious diseases, and drastically decrease the death rate of people suffering from different diseases such as cancer and infectious diseases. Because conventional diagnostic methods have limited application in low-resource settings due to the use of bulky and expensive instrumentation, simple and low-cost point-of-care diagnostic devices for timely and early biomarker diagnosis is the need of the hour, especially in rural areas and developing nations. The microfluidics technology possesses remarkable features for simple, low-cost, and rapid disease diagnosis. There have been significant advances in the development of microfluidic platforms for biomarker detection of diseases. This article reviews recent advances in biomarker detection using cost-effective microfluidic devices for disease diagnosis, with the emphasis on infectious disease and cancer diagnosis in low-resource settings. This review first introduces different microfluidic platforms (e.g. polymer and paper-based microfluidics) used for disease diagnosis, with a brief description of their common fabrication techniques. Then, it highlights various detection strategies for disease biomarker detection using microfluidic platforms, including colorimetric, fluorescence, chemiluminescence, electrochemiluminescence (ECL), and electrochemical detection. Finally, it discusses the current limitations of microfluidic devices for disease biomarker detection and future prospects.

Development and validation of a patient symptom questionnaire to facilitate early diagnosis of thyroid-associated orbitopathy in graves' disease.

PubMed

Mohaseb, Kam; Linder, Mark; Rootman, Jack; Wilkins, G E; Schechter, Martin T; Dolman, Peter J; Singer, Joel

2008-01-01

To construct a patient-based symptom questionnaire to facilitate early referral of thyroid-associated orbitopathy (TAO) in Graves' hyperthyroidism (GH). Phase I of our study involved developing a symptomatology-based questionnaire for the self-reporting of TAO symptoms in patients recently diagnosed with GH. Phase II involved administering the questionnaire along with a standard ophthalmic examination to a screening cohort of patients newly diagnosed with GH. Symptoms highly associated with the clinical diagnosis of TAO were used to construct a tool with the highest possible sensitivity. Phase III involved validation of this tool in a new cohort of patients recently diagnosed with GH. For each patient, the diagnosis of TAO was made by both a standardized orbital ophthalmic exam and the questionnaire. Results from the questionnaire were then compared to the clinical examination. The questionnaire was compared to the standardized examination and found to have a sensitivity of 0.76 and a specificity of 0.82 in the validation phase of the study. This questionnaire may be a useful tool in clinical practice to allow identification of patients with TAO secondary to GH. Future studies using this questionnaire are needed to determine whether earlier identification and management of these patients is associated with reduced morbidity from TAO.

Reconstructing normality following the diagnosis of a childhood chronic disease: does "rare" make a difference?

PubMed

Germeni, Evi; Vallini, Isabella; Bianchetti, Mario G; Schulz, Peter J

2018-04-01

Living with a childhood chronic disease can be challenging, especially if the diagnosis involves a rare condition. This study sought to elucidate how the diagnosis of a rare disease, as compared to a common, chronic condition, may influence maternal experiences of childhood illness. We conducted face-to-face, semi-structured interviews with 26 mothers of children treated in a pediatric hospital in the province of Lecco, Italy. Half of the participants had a child diagnosed with Bartter syndrome (BS), and the rest had a child suffering from celiac disease (CD). Interviews were recorded, transcribed, and analyzed using an inductive thematic approach. We identified three main themes from the analysis of our data: (1) disrupted normality and the need to know, (2) reconstructing normality, and (3) acting "normal." Although most participants experienced the disclosure of diagnosis as a relief, processes that facilitated normality reconstruction in celiac families, notably access to appropriate information, social support, and personal contact with comparison others, were found to be important stressors for mothers living with BS. This comparative qualitative study provides evidence on how well-known problems associated with the rarity of childhood diseases impact on families' efforts to cope with the illness and regain a sense of normality. What is Known: • Families living with a rare disease have been found to experience a range of common problems, directly linked to the rarity of these pathologies. What is New: • Maximization of both emotional and instrumental social support, through provision of appropriate information or establishment of disease-specific support groups, could greatly contribute to rare disease families' efforts to cope with childhood illness and regain a sense of normality.

Lyme disease: clinical diagnosis and treatment

PubMed Central

Hatchette, TF; Davis, I; Johnston, BL

2014-01-01

Background Lyme disease is an emerging zoonotic infection in Canada. As the Ixodes tick expands its range, more Canadians will be exposed to Borrelia burgdorferi, the bacterium that causes Lyme disease. Objective To review the clinical diagnosis and treatment of Lyme disease for front-line clinicians. Methods A literature search using PubMed and restricted to articles published in English between 1977 and 2014. Results Individuals in Lyme-endemic areas are at greatest risk, but not all tick bites transmit Lyme disease. The diagnosis is predominantly clinical. Patients with Lyme disease may present with early disease that is characterized by a “bull’s eye rash”, fever and myalgias or with early disseminated disease that can manifest with arthralgias, cardiac conduction abnormalities or neurologic symptoms. Late Lyme disease in North America typically manifests with oligoarticular arthritis but can present with a subacute encephalopathy. Antibiotic treatment is effective against Lyme disease and works best when given early in the infection. Prophylaxis with doxycyline may be indicated in certain circumstances. While a minority of patients may have persistent symptoms, evidence does not demonstrate that prolonged courses of antibiotics improve outcome. Conclusion Clinicians need to be aware of the signs and symptoms of Lyme disease. Knowing the regions where Borrelia infection is endemic in North America is important for recognizing patients at risk and informing the need for treatment. PMID:29769842

[Diagnosis and treatment of Pompe disease].

PubMed

Bravo-Oro, Antonio; de la Fuente-Cortez, Beatriz; Molina-García, Avril; Romero-Díaz, Víktor; Rodríguez-Leyva, Ildefonso; Esmer-Sánchez, María del Carmen

2013-01-01

Pompe disease is a rare, progressive and often fatal neuromuscular disorder. It is caused by a deficiency of the lysosomal alpha-glucosidase. Among glycogen storage disorders, it is one of the most common. Its clinical manifestations can start at any moment of life, with a very variable symptomatology. In this article, we show an extended revision of the literature in regards to the main medical aspects of Pompe disease: etiology, psychopathology, epidemiology, clinical variants, pathological diagnosis, and enzyme replacement therapy. With this information, we created a diagnostic and therapeutic guide, which is addressed to specialists and to first-level physicians, in order to let them identify both the classic and the late forms of this disease. We describe as well the best, timely, multidisciplinary treatment in use. Also, we show some suggestions to the proper functioning of health institutions, and routes to diagnosis. We conclude that Pompe disease may be properly diagnosed and treated if health care professionals follow the internationally approved recommendations.

Usefulness of lavage cytology during endoscopic transpapillary catheterization into the gallbladder in the cytological diagnosis of gallbladder disease.

PubMed

Naito, Yoshiki; Okabe, Yoshinobu; Kawahara, Akihiko; Taira, Tomoki; Isida, Yusuke; Kaji, Ryouhei; Sata, Michio; Ureshino, Hiroki; Mikagi, Kazuhiro; Kinoshita, Hisafumi; Yasumoto, Makiko; Kusano, Hironori; Kage, Masayoshi; Yano, Hirohisa

2009-06-01

Many studies have reported methods of cell collection involving percutaneous transhepatic cholangiodrainage (PTCD) and fine-needle aspiration cytology for the diagnosis of gallbladder disease. However, few studies have described the use of a transpapillary approach, i.e., endoscopic transpapillary catheterization into the gallbladder (ETCG). In this study, we analyzed cells collected by ETCG to evaluate its usefulness in the cytological diagnosis of gallbladder disease. The subjects were 19 patients who had undergone ETCG for the diagnosis of gallbladder disease. Of these patients, 11 and 8 had gallbladder cancer and benign gallbladder disease, respectively. We also evaluated the diagnostic accuracy of PTCD cytology performed in 15 patients with gallbladder cancer.Specimens were cytologically diagnosed as normal or benign, indeterminate, suspected malignancy, malignant, and inadequate in 47% (9/19), 11% (2/19), 0% (0/19), 37% (7/19), and 5% (1/19) of patients, respectively. Specimens were diagnosed as malignant, indeterminate, normal or benign, and inadequate in 7, 2, 1, and 1, respectively, of the 11 patients diagnosed with gallbladder cancer. The sensitivity and specificity of ETCG cytology were 78 and 100%, respectively, whereas the diagnostic accuracy of PTCD cytology was 20% (3/15). None of the patients developed complications of ETCG. Despite its technical difficulty, ETCG for bile cytology allows the collection of adequate cell numbers from patients with benign disease or gallbladder cancer and facilitates a cytological diagnosis, making it a useful method for collecting cells. (c) 2009 Wiley-Liss, Inc.

Diagnosis and treatment of gastroesophageal reflux disease

PubMed Central

Badillo, Raul; Francis, Dawn

2014-01-01

Gastroesophageal reflux disease (GERD) is a common disease with a prevalence as high as 10%-20% in the western world. The disease can manifest in various symptoms which can be grouped into typical, atypical and extra-esophageal symptoms. Those with the highest specificity for GERD are acid regurgitation and heartburn. In the absence of alarm symptoms, these symptoms can allow one to make a presumptive diagnosis and initiate empiric therapy. In certain situations, further diagnostic testing is needed to confirm the diagnosis as well as to assess for complications or alternate causes for the symptoms. GERD complications include erosive esophagitis, peptic stricture, Barrett’s esophagus, esophageal adenocarcinoma and pulmonary disease. Management of GERD may involve lifestyle modification, medical therapy and surgical therapy. Lifestyle modifications including weight loss and/or head of bed elevation have been shown to improve esophageal pH and/or GERD symptoms. Medical therapy involves acid suppression which can be achieved with antacids, histamine-receptor antagonists or proton-pump inhibitors. Whereas most patients can be effectively managed with medical therapy, others may go on to require anti-reflux surgery after undergoing a proper pre-operative evaluation. The purpose of this review is to discuss the current approach to the diagnosis and treatment of gastroesophageal reflux disease. PMID:25133039

An integrated approach to coronary heart disease diagnosis and clinical management.

PubMed

Infante, Teresa; Forte, Ernesto; Schiano, Concetta; Cavaliere, Carlo; Tedeschi, Carlo; Soricelli, Andrea; Salvatore, Marco; Napoli, Claudio

2017-01-01

The major issue in coronary heart disease (CHD) diagnosis and management is that symptoms onset in an advanced state of disease. Despite the availability of several clinical risk scores, the prediction of cardiovascular events is lacking, and many patients at risk are not well stratified according to the canonical risk factors alone. Therefore, adequate risk assessment remains the most challenging issue. Recently, the integration of imaging data with biochemical markers in a radiogenomic framework has been proposed in many fields of medicine as well as in cardiology. Multimodal imaging and advanced processing techniques can provide both direct (e.g., remodeling index, calcium score, total plaque volume, plaque burden) and indirect (e.g., myocardial perfusion index, coronary flow reserve) imaging features of CHD. Furthermore, the identification of novel non-invasive biochemical markers, mainly focused on plasma and/or serum samples, has increased the specificity of findings, reflecting several pathophysiological pathways of atherosclerosis, the principal actor in CHD. In this context, a multifaced approach, derived from the strengths of all these modalities, appears promising for finer risk stratification and treatment strategies, facilitating the decision-making and clinical management of patients. This review underlines the role of different imaging modalities in the quantification of coronary atherosclerosis and describes novel blood-based markers that could improve diagnosis and have a better predictive value in CHD.

Incidence, disease phenotype at diagnosis, and early disease course in inflammatory bowel diseases in Western Hungary, 2002-2006.

PubMed

Lakatos, Laszlo; Kiss, Lajos S; David, Gyula; Pandur, Tunde; Erdelyi, Zsuzsanna; Mester, Gabor; Balogh, Mihaly; Szipocs, Istvan; Molnar, Csaba; Komaromi, Erzsebet; Lakatos, Peter Laszlo

2011-12-01

Recent trends indicate a change in the epidemiology of inflammatory bowel diseases (IBD), with previously low incidence areas now reporting a progressive rise in the incidence. Our aim was to analyze the incidence and disease phenotype at diagnosis in IBD in the population-based Veszprem Province database, which included incident patients diagnosed between January 1, 2002 and December 31, 2006. Data of 393 incident patients were analyzed (ulcerative colitis [UC]: 220, age-at-diagnosis: 40.5 years; Crohn's disease [CD]: 163, age-at-diagnosis: 32.5 years; and indeterminate colitis [IC]: 10). Both hospital and outpatient records were collected and comprehensively reviewed. Adjusted mean incidence rates were 8.9/10(5) person-years for CD and 11.9/10(5) person-years in UC. Peak onset age in both CD and UC patients was 21-30 years old. Location at diagnosis in UC was proctitis in 26.8%, left-sided colitis in 50.9%, and pancolitis in 22.3%. The probability of proximal extension and colectomy after 5 years was 12.7% and 2.8%. The disease location in CD was ileal in 20.2%, colonic in 35.6%, ileocolonic in 44.2%, and upper gastrointestinal in four patients. Behavior at diagnosis was stenosing/penetrating in 35.6% and perianal in 11.1%. Patients with colonic disease were older at diagnosis compared to patients with ileal or ileocolonic disease. In a Kaplan-Meier analysis, probability of surgical resection was 9.8%, 18.5%, and 21.3% after 1, 3, and 5 years of disease duration, respectively. The incidence of IBD in Veszprem Province in the last decade was high, equal to that in high-incidence areas in Western European countries. Early disease course is milder compared to data reported in the literature. Copyright © 2011 Crohn's & Colitis Foundation of America, Inc.

Neuropathologic features associated with Alzheimer disease diagnosis

PubMed Central

Grinberg, L.T.; Miller, B.; Kawas, C.; Yaffe, K.

2011-01-01

Objective: To examine whether the association between clinical Alzheimer disease (AD) diagnosis and neuropathology and the precision by which neuropathology differentiates people with clinical AD from those with normal cognition varies by age. Methods: We conducted a cross-sectional analysis of 2,014 older adults (≥70 years at death) from the National Alzheimer's Coordinating Center database with clinical diagnosis of normal cognition (made ≤1 year before death, n = 419) or AD (at ≥65 years, n = 1,595) and a postmortem neuropathologic examination evaluating AD pathology (neurofibrillary tangles, neuritic plaques) and non-AD pathology (diffuse plaques, amyloid angiopathy, Lewy bodies, macrovascular disease, microvascular disease). We used adjusted logistic regression to analyze the relationship between clinical AD diagnosis and neuropathologic features, area under the receiver operating characteristic curve (c statistic) to evaluate how precisely neuropathology differentiates between cognitive diagnoses, and an interaction to identify effect modification by age group. Results: In a model controlling for coexisting neuropathologic features, the relationship between clinical AD diagnosis and neurofibrillary tangles was significantly weaker with increasing age (p < 0.001 for interaction). The aggregate of all neuropathologic features more strongly differentiated people with clinical AD from those without in younger age groups (70–74 years: c statistic, 95% confidence interval: 0.93, 0.89–0.96; 75–84 years: 0.95, 0.87–0.95; ≥85 years: 0.83, 0.80–0.87). Non-AD pathology significantly improved precision of differentiation across all age groups (p < 0.004). Conclusion: Clinical AD diagnosis was more weakly associated with neurofibrillary tangles among the oldest old compared to younger age groups, possibly due to less accurate clinical diagnosis, better neurocompensation, or unaccounted pathology among the oldest old. PMID:22031532

A kidney-disease gene panel allows a comprehensive genetic diagnosis of cystic and glomerular inherited kidney diseases.

PubMed

Bullich, Gemma; Domingo-Gallego, Andrea; Vargas, Iván; Ruiz, Patricia; Lorente-Grandoso, Laura; Furlano, Mónica; Fraga, Gloria; Madrid, Álvaro; Ariceta, Gema; Borregán, Mar; Piñero-Fernández, Juan Alberto; Rodríguez-Peña, Lidia; Ballesta-Martínez, Maria Juliana; Llano-Rivas, Isabel; Meñica, Mireia Aguirre; Ballarín, José; Torrents, David; Torra, Roser; Ars, Elisabet

2018-05-22

Molecular diagnosis of inherited kidney diseases remains a challenge due to their expanding phenotypic spectra as well as the constantly growing list of disease-causing genes. Here we develop a comprehensive approach for genetic diagnosis of inherited cystic and glomerular nephropathies. Targeted next generation sequencing of 140 genes causative of or associated with cystic or glomerular nephropathies was performed in 421 patients, a validation cohort of 116 patients with previously known mutations, and a diagnostic cohort of 207 patients with suspected inherited cystic disease and 98 patients with glomerular disease. In the validation cohort, a sensitivity of 99% was achieved. In the diagnostic cohort, causative mutations were found in 78% of patients with cystic disease and 62% of patients with glomerular disease, mostly familial cases, including copy number variants. Results depict the distribution of different cystic and glomerular inherited diseases showing the most likely diagnosis according to perinatal, pediatric and adult disease onset. Of all the genetically diagnosed patients, 15% were referred with an unspecified clinical diagnosis and in 2% genetic testing changed the clinical diagnosis. Therefore, in 17% of cases our genetic analysis was crucial to establish the correct diagnosis. Complex inheritance patterns in autosomal dominant polycystic kidney disease and Alport syndrome were suspected in seven and six patients, respectively. Thus, our kidney-disease gene panel is a comprehensive, noninvasive, and cost-effective tool for genetic diagnosis of cystic and glomerular inherited kidney diseases. This allows etiologic diagnosis in three-quarters of patients and is especially valuable in patients with unspecific or atypical phenotypes. Copyright © 2018 International Society of Nephrology. Published by Elsevier Inc. All rights reserved.

Diagnosis and Updates in Celiac Disease.

PubMed

Shannahan, Sarah; Leffler, Daniel A

2017-01-01

Celiac disease is an autoimmune disorder induced by gluten in genetically susceptible individuals. It can result in intraintestinal and extraintestinal manifestations of disease including diarrhea, weight loss, anemia, osteoporosis, or lymphoma. Diagnosis of celiac disease is made through initial serologic testing and then confirmed by histopathologic examination of duodenal biopsies. Generally celiac disease is a benign disorder with a good prognosis in those who adhere to a gluten-free diet. However, in refractory disease, complications may develop that warrant additional testing with more advanced radiologic and endoscopic methods. This article reviews the current strategy to diagnose celiac disease and the newer modalities to assess for associated complications. Copyright © 2016 Elsevier Inc. All rights reserved.

Simplifying Skin Disease Diagnosis with Topical Nanotechnology.

PubMed

Yeo, David C; Xu, Chenjie

2018-05-01

A new study published in the journal Nature Biomedical Engineering 1 documents a novel diagnostic technology that exploits topically applied nanotechnology to detect skin tissue biomarkers for diagnosis. This concept is demonstrated by noninvasively imaging connective tissue growth factor (CTGF) mRNA in abnormal scar cells, whole tissue, and animal models. In this commentary, we highlight the main findings and discuss their implications. Successful implementation in the clinic could give rise to self-applied, biopsy-free diagnostic technology and significantly reduce healthcare burden. Crucially, noninvasive visualization of disease biomarkers, mobile device signal acquisition, and Internet-enabled transmission could significantly transform the diagnosis of skin disease and other superficial tissues.

Identification of factors for physicians to facilitate early differential diagnosis of scrub typhus, murine typhus, and Q fever from dengue fever in Taiwan.

PubMed

Chang, Ko; Lee, Nan-Yao; Ko, Wen-Chien; Tsai, Jih-Jin; Lin, Wei-Ru; Chen, Tun-Chieh; Lu, Po-Liang; Chen, Yen-Hsu

2017-02-01

Dengue fever, rickettsial diseases, and Q fever are acute febrile illnesses with similar manifestations in tropical areas. Early differential diagnosis of scrub typhus, murine typhus, and Q fever from dengue fever may be made by understanding the distinguishing clinical characteristics and the significance of demographic and weather factors. We conducted a retrospective study to identify clinical, demographic, and meteorological characteristics of 454 dengue fever, 178 scrub typhus, 143 Q fever, and 81 murine typhus cases in three Taiwan hospitals. Case numbers of murine typhus and Q fever correlated significantly with temperature and rainfall; the scrub typhus case number was only significantly related with temperature. Neither temperature nor rainfall correlated with the case number of dengue fever. The rarity of dengue fever cases from January to June in Taiwan may be a helpful clue for diagnosis in the area. A male predominance was observed, as the male-to-female rate was 2.1 for murine typhus and 7.4 for Q fever. Multivariate analysis revealed the following six important factors for differentiating the rickettsial diseases and Q fever group from the dengue fever group: fever ≥8 days, alanine aminotransferase > aspartate aminotransferase, platelets >63,000/mL, C-reactive protein >31.9 mg/L, absence of bone pain, and absence of a bleeding syndrome. Understanding the rarity of dengue in the first half of a year in Taiwan and the six differentiating factors may help facilitate the early differential diagnosis of rickettsial diseases and Q fever from dengue fever, permitting early antibiotic treatment. Copyright © 2015. Published by Elsevier B.V.

Fox Den Disease: An Interesting Case Following Delayed Diagnosis.

PubMed

Stehr, Ryan C; Kim, Nicholas; LoGiudice, John A; Ludwig, Kirk

2015-06-01

Pyoderma fistulans sinifica, also known as fox den disease, is a rare and poorly understood inflammatory disorder of the skin and subcutaneous tissues. This disorder is often mistaken for other inflammatory skin disorders and treated inappropriately. The authors describe the case of a 53-year-old male who presented to the colorectal surgery service with a longstanding diagnosis of perirectal Crohn's disease. Despite aggressive immunosuppression and numerous surgical procedures, the patient continued to have unrelenting purulent drainage from the skin of his buttocks. Following wide excision of the affected skin and subcutaneous tissues by the colorectal surgeon, the plastic surgery team reconstructed the 30 cm x 55 cm wound using a combination of local flaps and skin grafts. The initial pathology report of the excised specimen confirmed the presence of nonspecific abscesses and inflammation. Upon special request by the plastic surgery team, the sample was resectioned with the specific intent of establishing a diagnosis of fox den disease. The additional slides met the criteria for an unequivocal diagnosis of fox den disease. Immunosuppression was discontinued and the patient healed his wounds without complication. Fox den disease is often overlooked because of the obscurity of the disease and the special histological sectioning needed to establish a diagnosis. In this case, the patient was unnecessarily treated with immunosuppressive drugs for more than 3 decades because of a misdiagnosis. With increased awareness of fox den disease, perhaps its pathophysiology can be better elucidated as more patients are appropriately diagnosed and treated.

[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

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.

[Congenital ChagaśDisease: epidemiology, laboratorial diagnosis, prognosis and treatment].

PubMed

Reiche, E M; Inouye, M M; Bonametti, A M; Jankevicius, J V

1996-01-01

The authors review studies about epidemiology, clinical aspects and methods used in laboratorial diagnosis of congenital Chagas'disease, emphasizing the limitations in their specificity and sensibility, and suggest alternative methods to improve the accuracy and the quality of the laboratorial diagnosis of congenital Chagaśdisease, essential to an efficient treatment.

[The design and development of a quality system for the diagnosis of exotic animal diseases at the National Centre for Animal and Plant Health in Cuba].

PubMed

de Oca, N Montes; Villoch, A; Pérez Ruano, M

2004-12-01

A quality system for the diagnosis of exotic animal diseases was developed at the national centre for animal and plant health (CENSA), responsible for coordinating the clinical, epizootiological and laboratory diagnosis of causal agents of exotic animal diseases in Cuba. A model was designed on the basis of standard ISO 9001:2000 of the International Organization for Standardization (ISO), standard ISO/IEC 17025:1999 of ISO and the International Electrotechnical Commission, recommendations of the World Organisation for Animal Health (OIE) and other regulatory documents from international and national organisations that deal specifically with the treatment of emerging diseases. Twenty-nine standardised operating procedures were developed, plus 13 registers and a checklist to facilitate the evaluation of the system. The effectiveness of the quality system was confirmed in the differential diagnosis of classical swine fever at an animal virology laboratory in Cuba.

Coeliac disease: review of diagnosis and management.

PubMed

Walker, Marjorie M; Ludvigsson, Jonas F; Sanders, David S

2017-08-21

Coeliac disease is an immune-mediated systemic disease triggered by exposure to gluten, and manifested by small intestinal enteropathy and gastrointestinal and extra-intestinal symptoms. Recent guidelines recommend a concerted use of clear definitions of the disease. In Australia, the most recent estimated prevalence is 1.2% in adult men (1:86) and 1.9% in adult women (1:52). Active case finding is appropriate to diagnose coeliac disease in high risk groups. Diagnosis of coeliac disease is important to prevent nutritional deficiency and long term risk of gastrointestinal malignancy. The diagnosis of coeliac disease depends on clinico-pathological correlation: history, presence of antitransglutaminase antibodies, and characteristic histological features on duodenal biopsy (when the patient is on a gluten-containing diet). Human leucocyte antigen class II haplotypes DQ2 or DQ8 are found in nearly all patients with coeliac disease, but are highly prevalent in the general population at large (56% in Australia) and testing can only exclude coeliac disease for individuals with non-permissive haplotypes. Adhering to a gluten free diet allows duodenal mucosal healing and alleviates symptoms. Patients should be followed up with a yearly review of dietary adherence and a health check. Non-coeliac gluten or wheat protein sensitivity is a syndrome characterised by both gastrointestinal and extra-intestinal symptoms related to the ingestion of gluten and possibly other wheat proteins in people who do not have coeliac disease or wheat allergy recognised by diagnostic tests.

Diagnosis of Celiac Disease: Taking a Bite Out of the Controversy.

PubMed

Turner, Justine M

2018-06-01

Celiac disease is a common autoimmune disorder of the small intestine, triggered by an immunological response to the gluten present in wheat, barley, and rye in individuals who are genetically at risk. A key to reducing the complications of this disease is early diagnosis, preferably in childhood, and consuming a lifelong gluten-free diet once diagnosis is confirmed. Yet, the diagnosis of celiac disease is often considerably delayed, exposing patients to needless suffering and morbidity. It is also difficult to confirm histologically if dietary gluten has been restricted prior to obtaining a diagnostic biopsy, a significant problem given the current growing popularity of gluten-free diets. Furthermore, failure to understand or follow current guidelines means physicians may recommend patients commence the gluten-free diet before initiating referral to a gastroenterologist. Finally, adding further confusion, pediatric guidelines in Europe support a diagnosis based on serology rather than on histology, whereas those based in North America do not. The purpose of this review is to discuss these issues and other controversies in the diagnosis of celiac disease and to consider ways to optimize diagnosis across the lifespan.

The Development of a General Auxiliary Diagnosis System for Common Disease of Animal

NASA Astrophysics Data System (ADS)

Xiao, Jianhua; Wang, Hongbin; Zhang, Ru; Luan, Peixian; Li, Lin; Xu, Danning

In order to development one expert system for animal disease in china, and this expert system can help veterinary surgeon diagnose all kinds of disease of animal. The design of an intelligent medical system for diagnosis of animal diseases is presented in this paper. The system comprises three major parts: a disease case management system (DCMS), a Knowledge management system (KMS) and an Expert System (ES). The DCMS is used to manipulate patient data include all kinds of data about the animal and the symptom, diagnosis result etc. The KMS is used to acquire knowledge from disease cases and manipulate knowledge by human. The ES is used to perform diagnosis. The program is designed in N-layers system; they are data layer, security layer, business layer, appearance layer, and user interface. When diagnosis, user can select some symptoms in system group by system. One conclusion with three possibilities (final diagnosis result, suspect diagnosis result, and no diagnosis result) is output. By diagnosis some times, one most possible result can be get. By application, this system can increased the accurate of diagnosis to some extent, but the statistics result was not compute now.

Intimate partner violence after the diagnosis of sexually transmitted diseases

PubMed Central

Andrade, Roumayne Fernandes Vieira; Araújo, Maria Alix Leite; Vieira, Luiza Jane Eyre de Souza; Reis, Cláudia Bastos Silveira; Miranda, Angélica Espinosa

2015-01-01

OBJECTIVE To assess the prevalence and factors associated with intimate partner violence after the diagnosis of sexually transmitted diseases. METHODS This cross-sectional study was conducted in Fortaleza, CE, Northeastern Brazil, in 2012 and involved 221 individuals (40.3% male and 59.7% female) attended to at reference health care units for the treatment of sexually transmitted diseases. Data were collected using a questionnaire applied during interviews with each participant. A multivariate analysis with a logistic regression model was conducted using the stepwise technique. Only the variables with a p value < 0.05 were included in the adjusted analysis. The odds ratio (OR) with 95% confidence interval (CI) was used as the measure of effect. RESULTS A total of 30.3% of the participants reported experiencing some type of violence (27.6%, psychological; 5.9%, physical; and 7.2%, sexual) after the diagnosis of sexually transmitted disease. In the multivariate analysis adjusted to assess intimate partner violence after the revelation of the diagnosis of sexually transmitted diseases, the following variables remained statistically significant: extramarital relations (OR = 3.72; 95%CI 1.91;7.26; p = 0.000), alcohol consumption by the partner (OR = 2.16; 95%CI 1.08;4.33; p = 0.026), history of violence prior to diagnosis (OR = 2.87; 95%CI 1.44;5.69; p = 0.003), and fear of disclosing the diagnosis to the partner (OR = 2.66; 95%CI 1.32;5.32; p = 0.006). CONCLUSIONS Individuals who had extramarital relations, experienced violence prior to the diagnosis of sexually transmitted disease, feared disclosing the diagnosis to the partner, and those whose partner consumed alcohol had an increased likelihood of suffering violence. The high prevalence of intimate partner violence suggests that this population is vulnerable and therefore intervention efforts should be directed to them. Referral health care services for the treatment of sexually transmitted diseases can be strategic

ACG clinical guidelines: diagnosis and management of celiac disease.

PubMed

Rubio-Tapia, Alberto; Hill, Ivor D; Kelly, Ciarán P; Calderwood, Audrey H; Murray, Joseph A

2013-05-01

This guideline presents recommendations for the diagnosis and management of patients with celiac disease. Celiac disease is an immune-based reaction to dietary gluten (storage protein for wheat, barley, and rye) that primarily affects the small intestine in those with a genetic predisposition and resolves with exclusion of gluten from the diet. There has been a substantial increase in the prevalence of celiac disease over the last 50 years and an increase in the rate of diagnosis in the last 10 years. Celiac disease can present with many symptoms, including typical gastrointestinal symptoms (e.g., diarrhea, steatorrhea, weight loss, bloating, flatulence, abdominal pain) and also non-gastrointestinal abnormalities (e.g., abnormal liver function tests, iron deficiency anemia, bone disease, skin disorders, and many other protean manifestations). Indeed, many individuals with celiac disease may have no symptoms at all. Celiac disease is usually detected by serologic testing of celiac-specific antibodies. The diagnosis is confirmed by duodenal mucosal biopsies. Both serology and biopsy should be performed on a gluten-containing diet. The treatment for celiac disease is primarily a gluten-free diet (GFD), which requires significant patient education, motivation, and follow-up. Non-responsive celiac disease occurs frequently, particularly in those diagnosed in adulthood. Persistent or recurring symptoms should lead to a review of the patient's original diagnosis to exclude alternative diagnoses, a review of the GFD to ensure there is no obvious gluten contamination, and serologic testing to confirm adherence with the GFD. In addition, evaluation for disorders associated with celiac disease that could cause persistent symptoms, such as microscopic colitis, pancreatic exocrine dysfunction, and complications of celiac disease, such as enteropathy-associated lymphoma or refractory celiac disease, should be entertained. Newer therapeutic modalities are being studied in

Formulation design facilitates magnetic nanoparticle delivery to diseased cells and tissues

PubMed Central

Singh, Dhirender; McMillan, JoEllyn M; Liu, Xin-Ming; Vishwasrao, Hemant M; Kabanov, Alexander V; Sokolsky-Papkov, Marina; Gendelman, Howard E

2015-01-01

Magnetic nanoparticles (MNPs) accumulate at disease sites with the aid of magnetic fields; biodegradable MNPs can be designed to facilitate drug delivery, influence disease diagnostics, facilitate tissue regeneration and permit protein purification. Because of their limited toxicity, MNPs are widely used in theranostics, simultaneously facilitating diagnostics and therapeutics. To realize therapeutic end points, iron oxide nanoparticle cores (5–30 nm) are encapsulated in a biocompatible polymer shell with drug cargos. Although limited, the toxic potential of MNPs parallels magnetite composition, along with shape, size and surface chemistry. Clearance is hastened by the reticuloendothelial system. To surmount translational barriers, the crystal structure, particle surface and magnetic properties of MNPs need to be optimized. With this in mind, we provide a comprehensive evaluation of advancements in MNP synthesis, functionalization and design, with an eye towards bench-to-bedside translation. PMID:24646020

Diagnosis and therapy of coronary artery disease: Second edition

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

Cohn, P.F.

1985-01-01

This book contains 18 selections. Some of the titles are: Nuclear cardiology; Diagnosis of acute myocardial infarction; Therapy of angina pectoris; Psychosocial aspects of coronary artery disease; Nonatherosclerotic coronary artery disease; and The epidemiology of coronary artery disease.

Polymylagia rheumatica: common disease, elusive diagnosis.

PubMed

Mager, Diana R

2015-03-01

Polymyalgia rheumatica (PMR) is a common inflammatory rheumatic disease with little known about its etiology or incidence. Frequently found in older adult women, this disease can be debilitating, painful, and dangerous. Diagnosing PMR can be elusive due to lack of specific laboratory tests, and treatment with use of long-term glucocorticoids can be difficult due to side effects. The following article describes the pathophysiology, diagnosis, signs and symptoms, and treatment of PMR, as well as implications for home healthcare.

Cone beam computed tomography in the diagnosis of dental disease.

PubMed

Tetradis, Sotirios; Anstey, Paul; Graff-Radford, Steven

2011-07-01

Conventional radiographs provide important information for dental disease diagnosis. However, they represent 2-D images of 3-D objects with significant structure superimposition and unpredictable magnification. Cone beam computed tomography, however, allows true 3-D visualization of the dentoalveolar structures, avoiding major limitations of conventional radiographs. Cone beam computed tomography images offer great advantages in disease detection for selected patients. The authors discuss cone beam computed tomography applications in dental disease diagnosis, reviewing the pertinent literature when available.

Can conjunctival provocation test facilitate the diagnosis of food allergy in children?

PubMed

Krane Kvenshagen, B; Jacobsen, M; Halvorsen, R

2010-01-01

Food allergy is common in children, occurring in 5-7.5%. The diagnosis may, however, be difficult. Elevated IgE or positive skin prick test to a food allergen is often considered proof of allergy, but may represent sensitisation without clinical manifestations. For a precise diagnosis oral challenge is necessary, but this is often not performed because of risk of serious allergic reactions. The aim of this study was to evaluate whether conjunctival provocation test would facilitate the diagnosis of IgE-mediated food allergy. One hundred and forty-nine children with 174 possible diagnoses of food allergy were included. General examination, skin prick test and specific IgE were performed, as well as conjunctival provocation test of the suspected food allergen. Open food challenges and double-blind placebo controlled tests were performed in order to diagnose possible food allergy. Forty-six children with strongly positive conjunctival reactions (rubor, itching, oedema) to fifty food allergens were all proven to have allergy to the food in question. The children with negative conjunctival provocation tests showed no allergic reactions when challenged. We find that a strongly positive conjunctival reaction to a food allergen correlates well with true allergy. An oral challenge should be carefully performed. With a negative conjunctival test an oral challenge may safely be performed. Copyright © 2009 SEICAP. Published by Elsevier Espana. All rights reserved.

Diagnosis of Alzheimer’s disease in Brazil: Supplementary exams

PubMed Central

Caramelli, Paulo; Teixeira, Antonio Lúcio; Buchpiguel, Carlos Alberto; Lee, Hae Won; Livramento, José Antônio; Fernandez, Liana Lisboa; Anghinah, Renato

2011-01-01

This article presents a review of the recommendations on supplementary exams employed for the clinical diagnosis of Alzheimer’s disease (AD) in Brazil published in 2005. A systematic assessment of the consensus reached in other countries, and of articles on AD diagnosis in Brazil available on the PUBMED and LILACS medical databases, was carried out. Recommended laboratory exams included complete blood count, serum creatinine, thyroid stimulating hormone (TSH), albumin, hepatic enzymes, Vitamin B12, folic acid, calcium, serological reactions for syphilis and serology for HIV in patients aged younger than 60 years with atypical clinical signs or suggestive symptoms. Structural neuroimaging, computed tomography or – preferably – magnetic resonance exams, are indicated for diagnostic investigation of dementia syndrome to rule out secondary etiologies. Functional neuroimaging exams (SPECT and PET), when available, increase diagnostic reliability and assist in the differential diagnosis of other types of dementia. The cerebrospinal fluid exam is indicated in cases of pre-senile onset dementia with atypical clinical presentation or course, for communicant hydrocephaly, and suspected inflammatory, infectious or prion disease of the central nervous system. Routine electroencephalograms aid the differential diagnosis of dementia syndrome with other conditions which impair cognitive functioning. Genotyping of apolipoprotein E or other susceptibility polymorphisms is not recommended for diagnostic purposes or for assessing the risk of developing the disease. Biomarkers related to the molecular alterations in AD are largely limited to use exclusively in research protocols, but when available can contribute to improving the accuracy of diagnosis of the disease. PMID:29213741

Tips to facilitate a preoperative diagnosis of adrenal ganglioneuroma. Report of a challenging experience and review of the literature.

PubMed

Proposito, Delia; De Lucia, Francesca; Giannella, Alessandra; Frangella, Francesca; Pappalardo, Giuseppe; Santangelo, Maria; Magagnano, Domenico

2016-02-10

Ganglioneuroma (GN) is the most uncommon and the most benign tumor among neuroblastic neoplasms, and in 29.7% of cases it finds in an adrenal gland. Usually asymptomatic, this tumor is detected incidentally in the majority of cases. It is generally challenging to obtain a precise diagnosis of adrenal ganglioneuroma (AGN) before surgery. Misdiagnosis rate of AGN on CT and MRI is 64.7% and clinicians and surgeons are often lacking in knowledge of this rare disease. For this reason, we pointed out the clinical, biochemical, radiologic and pathologic features of AGN in an our experience, with the aim to find out if there are some features able to facilitate a preoperative diagnosis. The present article also includes a review of the relevant literature in order to compare laparoscopic versus open adrenalectomy. Right AGN in a 42-year-old woman, in whom preoperative diagnosis was very difficult and only histopathological studies of the surgical specimen established the exact diagnosis. The patient underwent bilateral subcostal laparotomy for a large mass (sized measuring 14.5 x 11.6 x 6.5 cm.) and a right adrenalectomy was performed. Postoperative recovery was uneventful and the patient, at 12-months follow-up, is disease-free and in good health. Authors stress the importance of interdisciplinary collaboration between surgeons, radiologists and endocrinologists to optimize clinical management and surgical indications. Careful evaluation by endocrine examinations and multiple imaging procedures are necessary to provide a differential diagnosis. Surgeons should consider a diagnosis of AGN in case of: 1) an adrenal incidentaloma; 2) a nonfunctioning tumor with no elevated hormonal secretions, in which compressive symptoms may occur; 3) a homogeneous, encapsulated mass, with well-defined edges, without invasion of nearby structures (no vascular involvement), with presence of calcifications and nonenhanced attenuation of <40 HU on CT; 4) a homogeneous hypointense adrenal mass

Lynch syndrome: barriers to and facilitators of screening and disease management.

PubMed

Watkins, Kathy E; Way, Christine Y; Fiander, Jacqueline J; Meadus, Robert J; Esplen, Mary Jane; Green, Jane S; Ludlow, Valerie C; Etchegary, Holly A; Parfrey, Patrick S

2011-09-07

Lynch syndrome is a hereditary cancer with confirmed carriers at high risk for colorectal (CRC) and extracolonic cancers. The purpose of the current study was to develop a greater understanding of the factors influencing decisions about disease management post-genetic testing. The study used a grounded theory approach to data collection and analysis as part of a multiphase project examining the psychosocial and behavioral impact of predictive DNA testing for Lynch syndrome. Individual and small group interviews were conducted with individuals from 10 families with the MSH2 intron 5 splice site mutation or exon 8 deletion. The data from confirmed carriers (n = 23) were subjected to re-analysis to identify key barriers to and/or facilitators of screening and disease management. Thematic analysis identified personal, health care provider and health care system factors as dominant barriers to and/or facilitators of managing Lynch syndrome. Person-centered factors reflect risk perceptions and decision-making, and enduring screening/disease management. The perceived knowledge and clinical management skills of health care providers also influenced participation in recommended protocols. The health care system barriers/facilitators are defined in terms of continuity of care and coordination of services among providers. Individuals with Lynch syndrome often encounter multiple barriers to and facilitators of disease management that go beyond the individual to the provider and health care system levels. The current organization and implementation of health care services are inadequate. A coordinated system of local services capable of providing integrated, efficient health care and follow-up, populated by providers with knowledge of hereditary cancer, is necessary to maintain optimal health.

Delay in the Diagnosis of Adult-Onset Still’s Disease

PubMed Central

Pham, Cindy

2017-01-01

Adult-onset Still’s disease (AOSD) is a systemic autoinflammatory disease characterized by symptoms including spiking fever, arthralgia, myalgia, maculopapular rash, and pharyngitis. The lack of diagnostic biomarker, non-specific clinical presentation, and the rarity of AOSD often result in a significant delay in diagnosis and treatment. While the average time of initial presentation to diagnosis is four months, we present a case of AOSD diagnosis three years after initial onset of classical symptoms. By reporting the case of delayed diagnosis for AOSD, we hope to raise awareness in our medical community about the diagnostic difficulty in AOSD. The present case describes an otherwise healthy male who presented with typical symptoms of AOSD, but the diagnosis of AOSD was missed during his first presentation. In the second flaring episode, the diagnosis of AOSD was established. He had an excellent therapeutic response to anakinra and prednisone during the acute flaring episode. He is currently in complete remission on methotrexate as maintenance therapy. PMID:28690954

Imaging and machine learning techniques for diagnosis of Alzheimer's disease.

PubMed

Mirzaei, Golrokh; Adeli, Anahita; Adeli, Hojjat

2016-12-01

Alzheimer's disease (AD) is a common health problem in elderly people. There has been considerable research toward the diagnosis and early detection of this disease in the past decade. The sensitivity of biomarkers and the accuracy of the detection techniques have been defined to be the key to an accurate diagnosis. This paper presents a state-of-the-art review of the research performed on the diagnosis of AD based on imaging and machine learning techniques. Different segmentation and machine learning techniques used for the diagnosis of AD are reviewed including thresholding, supervised and unsupervised learning, probabilistic techniques, Atlas-based approaches, and fusion of different image modalities. More recent and powerful classification techniques such as the enhanced probabilistic neural network of Ahmadlou and Adeli should be investigated with the goal of improving the diagnosis accuracy. A combination of different image modalities can help improve the diagnosis accuracy rate. Research is needed on the combination of modalities to discover multi-modal biomarkers.

Sonographically guided percutaneous muscle biopsy in diagnosis of neuromuscular disease: a useful alternative to open surgical biopsy.

PubMed

O'Sullivan, Paul J; Gorman, Grainne M; Hardiman, Orla M; Farrell, Michael J; Logan, P Mark

2006-01-01

The purpose of this study was to evaluate the feasibility of sonographically guided percutaneous muscle biopsy in the investigation of neuromuscular disorders. Sonographically guided percutaneous needle biopsy of skeletal muscle was performed with a 14-gauge core biopsy system in 40 patients over a 24-month period. Patients were referred from the Department of Neurology under investigation for neuromuscular disorders. Sonography was used to find suitable tissue and to avoid major vascular structures. A local anesthetic was applied below skin only. A 3- to 4-mm incision was made. Three 14-gauge samples were obtained from each patient. All samples were placed on saline-dampened gauze and sent for neuropathologic analysis. As a control, we retrospectively assessed results of the 40 most recent muscle samples acquired via open surgical biopsy. With the use of sonography, 32 (80%) of 40 patients had a histologic diagnosis made via percutaneous needle biopsy. This included 26 (93%) of 28 patients with acute muscular disease and 6 (50%) of 12 patients with chronic disease. In the surgical group (all acute disease), 38 (95%) of 40 patients had diagnostic tissue attained. Sonographically guided percutaneous 14-gauge core skeletal muscle biopsy is a useful procedure, facilitating diagnosis in acute muscular disease. It provides results comparable with those of open surgical biopsy in acute muscular disease. It may also be used in chronic muscular disease but repeated or open biopsy may be needed.

New developments in epidemiology, diagnosis, and treatment of fascioliasis.

PubMed

Cabada, Miguel M; White, A Clinton

2012-10-01

This review focuses on the recent developments in the epidemiology, burden of disease, diagnostic tests, and treatment of fascioliasis. Recent epidemiologic data suggest that either the endemic areas are expanding or disease is being recognized in areas where it was not previously observed. In addition, recent data highlight the effects of fascioliasis on childhood anemia and nutrition. Diagnosis remains problematic, but newer diagnostic tests including antibody, antigen, and DNA detection tests may facilitate earlier diagnosis. Recent studies suggest that point-of-care testing may soon be possible. Treatment with triclabendazole is effective, but resistance is emerging in livestock and may pose a threat for patients. Fascioliasis continues to emerge as an important neglected disease, with new studies highlighting the under-recognized burden of disease. Further studies are needed on burden of disease, improved diagnosis, and alternative to triclabendazole treatment.

CE: Lyme Disease: Diagnosis, Treatment, and Prevention.

PubMed

Patton, Susan Kane; Phillips, Bailey

2018-04-01

: Lyme disease is recognized as the most common vector-borne disease in the United States. Surveillance data indicate both increasing numbers of Lyme disease cases and geographic expansion of areas where the causative spirochete, Borrelia burgdorferi, can be found. With prompt diagnosis and appropriate treatment in the acute stage, most patients will recover fully. Without treatment, however, the infecting pathogen remains within the body, often producing long-term complications, including musculoskeletal, neurologic, and cardiovascular effects. The authors describe early and late manifestations of Lyme disease, the appropriate use of diagnostic tests, the recommended treatment, and strategies for preventing tick-borne diseases nurses can share with patients.

Lewy Body Disease: Clinical and Pathological "Overlap Syndrome" Between Synucleinopathies (Parkinson Disease) and Tauopathies (Alzheimer Disease).

PubMed

Foguem, Clovis; Manckoundia, Patrick

2018-04-08

Lewy body disease (LBD) is a neurodegenerative disease resulting in dementia. It shares clinical and pathological features with Parkinson disease (PD), the most frequent synucleinopathy, Parkinson disease dementia (PDD), and Alzheimer disease (AD), a tauopathy. Even though the diagnostic criteria for these neurodegenerative diseases are clearly established, and recently revised for LBD, their precise clinical diagnosis is often difficult because LBD, PD, PDD, and AD share epidemiological, clinical, and pathological characteristics. This manuscript discusses current understanding of overlapping symptoms and the particular features of LBD, PD, and AD. It also describes features that could facilitate the diagnosis of each of these diseases. We concluded that the concept of neurodegenerative "overlap" syndrome, which includes the accepted diagnosis of LBD, may be taken in account and should contribute to clarifying LBD and definitions of close differential diagnoses. This should allow clinicians to suspect LBD at an earlier stage and provide better patient care.

Molecular diagnosis of putative Stargardt disease probands by exome sequencing

PubMed Central

2012-01-01

Background The commonest genetic form of juvenile or early adult onset macular degeneration is Stargardt Disease (STGD) caused by recessive mutations in the gene ABCA4. However, high phenotypic and allelic heterogeneity and a small but non-trivial amount of locus heterogeneity currently impede conclusive molecular diagnosis in a significant proportion of cases. Methods We performed whole exome sequencing (WES) of nine putative Stargardt Disease probands and searched for potentially disease-causing genetic variants in previously identified retinal or macular dystrophy genes. Follow-up dideoxy sequencing was performed for confirmation and to screen for mutations in an additional set of affected individuals lacking a definitive molecular diagnosis. Results Whole exome sequencing revealed seven likely disease-causing variants across four genes, providing a confident genetic diagnosis in six previously uncharacterized participants. We identified four previously missed mutations in ABCA4 across three individuals. Likely disease-causing mutations in RDS/PRPH2, ELOVL, and CRB1 were also identified. Conclusions Our findings highlight the enormous potential of whole exome sequencing in Stargardt Disease molecular diagnosis and research. WES adequately assayed all coding sequences and canonical splice sites of ABCA4 in this study. Additionally, WES enables the identification of disease-related alleles in other genes. This work highlights the importance of collecting parental genetic material for WES testing as the current knowledge of human genome variation limits the determination of causality between identified variants and disease. While larger sample sizes are required to establish the precision and accuracy of this type of testing, this study supports WES for inherited early onset macular degeneration disorders as an alternative to standard mutation screening techniques. PMID:22863181

Heart Health - Heart Disease: Symptoms, Diagnosis, Treatment

MedlinePlus

... Bar Home Current Issue Past Issues Cover Story Heart Health Heart Disease: Symptoms, Diagnosis, Treatment Past Issues / Winter 2009 ... of this page please turn Javascript on. Most heart attacks happen when a clot in the coronary ...

Cytauxzoonosis: Diagnosis and treatment of an emerging disease.

PubMed

Sherrill, Meredith K; Cohn, Leah A

2015-11-01

Cytauxzoonosis is a life-threatening hematoprotozoal disease with a rapidly progressive clinical course. Once considered a rare disease only relevant to a small geographic area, it is now recognized in more than about a third of the United States. The geographic range seems likely to increase with expansion of the range of the vector tick. Both disease diagnosis and treatment offer challenges. The acute illness is often recognized by characteristic parasitic cellular inclusions, but illness may occur before parasites can be identified, and parasitic inclusions may persist long after illness has resolved. Also, while infection was once considered nearly uniformly fatal, subclinical infections are now recognized. Disease prognosis has improved for many cats through implementation of new therapies, but some pathogens are resistant to these therapies and death from disease is still common. Currently, prevention strategies are limited to ectoparasite control. Cytauxzoonosis caused by Cytauxzoon felis is limited to the Americas, and is especially problematic in southeastern and south central USA. However, other Cytauxzoon species have been recognized in Europe and Asia. This review is aimed at veterinary practitioners and focuses on the diagnosis and treatment of cytauxzoonosis. Disease management is of crucial importance in endemic regions. Furthermore, the expanding geographic range of infection, and the possibility of parasite identification in chronically infected cats with a travel history, make understanding cytauxzoonosis relevant in non-endemic regions as well. The authors draw on evidence from prospective clinical trials, experimental infections, retrospective clinical studies and case reports, as well as their own personal experience with the diagnosis and treatment of cytauxzoonosis. © The Author(s) 2015.

Next generation sequencing in the diagnosis of Stargardt's disease.

PubMed

Jimenez-Rolando, B; Noval, S; Rosa-Perez, I; Mata Diaz, E; Del Pozo, A; Ibañez, C; Silla, J C; Montaño, V E F; Martin-Arenas, R; Vallespin, E

2018-03-01

Stargardt's disease is the most frequent form of inherited macular dystrophy in children and adults. It is a genetic eye disorder caused by mutations in ABCA4 gene with an autosomal recessive inheritance. ABCA4 is a very polymorphic and large gene containing 50 exons. The development of next generation sequencing (NGS) can be used for the genetic diagnosis of this disease. A report is presented on two patients with a clinical diagnosis of Stargardt's disease whose genetic confirmation was performed by a NGS panel of 298 genes. Clinically, the patients showed bull's eye maculopathy and absence of flecks, and genetically they shared the Gly1961Glu mutation that could explain their common phenotype, together with c.C3056T:p.T1019M for case 1, and c.287del:p.Asn96Thrfs*19 for case 2. NGS is particularly useful in the diagnosis of Stargardt's disease as ABCA4 is a large gene with a high allelic heterogeneity that causes a wide range of clinical manifestations. Copyright © 2017 Sociedad Española de Oftalmología. Publicado por Elsevier España, S.L.U. All rights reserved.

MSeqDR: A Centralized Knowledge Repository and Bioinformatics Web Resource to Facilitate Genomic Investigations in Mitochondrial Disease.

PubMed

Shen, Lishuang; Diroma, Maria Angela; Gonzalez, Michael; Navarro-Gomez, Daniel; Leipzig, Jeremy; Lott, Marie T; van Oven, Mannis; Wallace, Douglas C; Muraresku, Colleen Clarke; Zolkipli-Cunningham, Zarazuela; Chinnery, Patrick F; Attimonelli, Marcella; Zuchner, Stephan; Falk, Marni J; Gai, Xiaowu

2016-06-01

MSeqDR is the Mitochondrial Disease Sequence Data Resource, a centralized and comprehensive genome and phenome bioinformatics resource built by the mitochondrial disease community to facilitate clinical diagnosis and research investigations of individual patient phenotypes, genomes, genes, and variants. A central Web portal (https://mseqdr.org) integrates community knowledge from expert-curated databases with genomic and phenotype data shared by clinicians and researchers. MSeqDR also functions as a centralized application server for Web-based tools to analyze data across both mitochondrial and nuclear DNA, including investigator-driven whole exome or genome dataset analyses through MSeqDR-Genesis. MSeqDR-GBrowse genome browser supports interactive genomic data exploration and visualization with custom tracks relevant to mtDNA variation and mitochondrial disease. MSeqDR-LSDB is a locus-specific database that currently manages 178 mitochondrial diseases, 1,363 genes associated with mitochondrial biology or disease, and 3,711 pathogenic variants in those genes. MSeqDR Disease Portal allows hierarchical tree-style disease exploration to evaluate their unique descriptions, phenotypes, and causative variants. Automated genomic data submission tools are provided that capture ClinVar compliant variant annotations. PhenoTips will be used for phenotypic data submission on deidentified patients using human phenotype ontology terminology. The development of a dynamic informed patient consent process to guide data access is underway to realize the full potential of these resources. © 2016 WILEY PERIODICALS, INC.

MSeqDR: A Centralized Knowledge Repository and Bioinformatics Web Resource to Facilitate Genomic Investigations in Mitochondrial Disease

PubMed Central

Shen, Lishuang; Diroma, Maria Angela; Gonzalez, Michael; Navarro-Gomez, Daniel; Leipzig, Jeremy; Lott, Marie T.; van Oven, Mannis; Wallace, Douglas C.; Muraresku, Colleen Clarke; Zolkipli-Cunningham, Zarazuela; Chinnery, Patrick F.; Attimonelli, Marcella; Zuchner, Stephan

2016-01-01

MSeqDR is the Mitochondrial Disease Sequence Data Resource, a centralized and comprehensive genome and phenome bioinformatics resource built by the mitochondrial disease community to facilitate clinical diagnosis and research investigations of individual patient phenotypes, genomes, genes, and variants. A central Web portal (https://mseqdr.org) integrates community knowledge from expert-curated databases with genomic and phenotype data shared by clinicians and researchers. MSeqDR also functions as a centralized application server for Web-based tools to analyze data across both mitochondrial and nuclear DNA, including investigator-driven whole exome or genome dataset analyses through MSeqDR-Genesis. MSeqDR-GBrowse supports interactive genomic data exploration and visualization with custom tracks relevant to mtDNA variation and disease. MSeqDR-LSDB is a locus specific database that currently manages 178 mitochondrial diseases, 1,363 genes associated with mitochondrial biology or disease, and 3,711 pathogenic variants in those genes. MSeqDR Disease Portal allows hierarchical tree-style disease exploration to evaluate their unique descriptions, phenotypes, and causative variants. Automated genomic data submission tools are provided that capture ClinVar-compliant variant annotations. PhenoTips is used for phenotypic data submission on de-identified patients using human phenotype ontology terminology. Development of a dynamic informed patient consent process to guide data access is underway to realize the full potential of these resources. PMID:26919060

'The shock of diagnosis': Qualitative accounts from people with Motor Neurone Disease reflecting the need for more person-centred care.

PubMed

Aoun, Samar M; O'Brien, Mary R; Breen, Lauren J; O'Connor, Margaret

2018-04-15

The diagnosis of Motor Neurone Disease (MND) is devastating for people with MND (PwMND) and their families. The objective of this study is to describe the experiences of PwMND in receiving the diagnosis in order to inform a more person-centred approach to communicating such bad news. The design was an anonymous postal survey facilitated by all MND associations across Australia (2014-15). Survey questions centred on the SPIKES protocol for communicating bad news; each question contained an area for written responses, which were thematically analysed for content. Two hundred and forty-eight responses were received from people with MND (29% response rate). Four themes emerged: challenges in being diagnosed with MND; the emotions experienced; the good and the bad; and links to further information and support. Receiving such a diagnosis requires preparation, forethought, sensitive and individualised care on the part of the neurologist, including where and how the diagnosis is given; the supports required; and timing, amounts and sources of giving information. The emotional reactions of the neurologist also caused a lasting impression on those receiving the diagnosis. This study could form the basis for best practice programs implementing a more person-centred approach to caring for PwMND right from the diagnosis stage. The focus needs to shift on the person's values, preferences, psychosocial and existential concerns in the context of the underlying disease experience and the manner clinical practice is delivered. Copyright © 2018 Elsevier B.V. All rights reserved.

Matchmaking facilitates the diagnosis of an autosomal-recessive mitochondrial disease caused by biallelic mutation of the tRNA isopentenyltransferase (TRIT1) gene.

PubMed

Kernohan, Kristin D; Dyment, David A; Pupavac, Mihaela; Cramer, Zvi; McBride, Arran; Bernard, Genevieve; Straub, Isabella; Tetreault, Martine; Hartley, Taila; Huang, Lijia; Sell, Erick; Majewski, Jacek; Rosenblatt, David S; Shoubridge, Eric; Mhanni, Aziz; Myers, Tara; Proud, Virginia; Vergano, Samanta; Spangler, Brooke; Farrow, Emily; Kussman, Jennifer; Safina, Nicole; Saunders, Carol; Boycott, Kym M; Thiffault, Isabelle

2017-05-01

Deleterious variants in the same gene present in two or more families with overlapping clinical features provide convincing evidence of a disease-gene association; this can be a challenge in the study of ultrarare diseases. To facilitate the identification of additional families, several groups have created "matching" platforms. We describe four individuals from three unrelated families "matched" by GeneMatcher and MatchMakerExchange. Individuals had microcephaly, developmental delay, epilepsy, and recessive mutations in TRIT1. A single homozygous mutation in TRIT1 associated with similar features had previously been reported in one family. The identification of these individuals provides additional evidence to support TRIT1 as the disease-causing gene and interprets the variants as "pathogenic." TRIT1 functions to modify mitochondrial tRNAs and is necessary for protein translation. We show that dysfunctional TRIT1 results in decreased levels of select mitochondrial proteins. Our findings confirm the TRIT1 disease association and advance the phenotypic and molecular understanding of this disorder. © 2017 Wiley Periodicals, Inc.

Impact of live interactive teledermatology on diagnosis, disease management, and clinical outcomes.

PubMed

Lamel, Sonia; Chambers, Cindy J; Ratnarathorn, Mondhipa; Armstrong, April W

2012-01-01

To assess the impact of live interactive teledermatology consultations on changes in diagnosis, disease management, and clinical outcomes. We conducted a retrospective analysis of 1500 patients evaluated via live interactive teledermatology between 2003 and 2005 at the University of California, Davis. We compared diagnoses and treatment plans between the referring physicians and the teledermatologists. Patients with 2 or more teledermatology visits within a 1-year period were assessed for changes in clinical outcomes. Academic medical center with an established teledermatology program since 1996. Medical records were evaluated for 1500 patients who underwent live interactive teledermatology consultation. Patients seen for more than 1 teledermatology visit were included in the clinical outcome assessment. Live interactive teledermatology consultation. Changes in diagnosis, disease management, and clinical outcome. Compared with diagnoses and treatment plans from referring physicians, the 1500 live interactive teledermatology consultations resulted in changes in diagnosis in 69.9% of patients and changes in disease management in 97.7% of patients. Among 313 patients with at least 2 teledermatology visits within 1 year, clinical improvement was observed in 68.7% of patients. Multivariate analysis showed that changes in diagnosis (P = .01), changes in disease management (P < .001), and the number of teledermatology visits (P < .001) were significantly associated with improved clinical outcomes. Live interactive teledermatology consultations result in changes in diagnosis and disease management in most consultations. The numbers of live interactive teledermatology visits and changes in diagnosis and disease management are significantly associated with improved clinical outcomes.

[Gaucher disease--guidelines for diagnosis and management of adult patients].

PubMed

Merkler, Marijan; Simić, Iveta; Pećin, Ivan; Muacević-Katanec, Diana; Sucur, Nediljko; Reiner, Zeljko

2014-01-01

Gaucher disease is an autosomal recessive disorder, characterized by decreased levels of the lysosomal enzyme glucocerebrosidase. This deficiency results in a decreased breakdown of this glycosphingolipid glucocerebroside, which accumulates in the lysosomes of the monocyte-macrophage system. It is the most common form of sphingolipidosis. Clinically, the principle signs of Gaucher's disease are hepatosplenomegaly, bone involvement, hematological changes and CNS involvement. The diagnosis of Gaucher disease has to be confirmed by the measurement of the activity of the enzyme glucocerebrosidase in leukocytes or fibroblasts and genetic testing. An effective therapy for Gaucher disease has now been available for more than 10 years. It consists of life-long intravenous replacement of the deficient enzyme--glucocerebrosidase. If enzyme replacement therapy is started early enough, it leads to significant improvement in patient's general condition and quality of life. The aim of this document is to provide to the Croatian medical audience the guidelines for diagnosis and management of adult patients with Gaucher disease. These guidelines are produced by specialists who have long lasting experience with patients with rare metabolic diseases working in the Division of Metabolic Diseases, Department of Internal Medicine, University Hospital Center Zagreb which is the Referral Center for Rare and Metabolic diseases of the Ministry of Health, Republic of Croatia. They were endorsed by the Croatian Society for Rare Diseases, Croatian Medical Association. These are the first guidelines published in Croatia on diagnosis, treatment and follow-up of Gaucher disease.

Diagnosis of Periodontal Diseases by Biomarkers

NASA Astrophysics Data System (ADS)

Kido, Jun-Ichi; Hino, Mami; Bando, Mika; Hiroshima, Yuka

Many middle aged and old persons take periodontal diseases that mainly cause teeth loss and result in some systemic diseases. The prevention of periodontal diseases is very important for oral and systemic health, but the present diagnostic examination is not fully objective and suitable. To diagnose periodontal diseases exactly, some biomarkers shown inflammation, tissue degradation and bone resorption, in gingival crevicular fluid (GCF) and saliva are known. We demonstrated that GCF levels of calprotectin, inflammation-related protein, and carboxy-terminal propeptide of type I procollagen, bone metabolism-related protein, were associated with clinical condition of periodontal diseases, and suggested that these proteins may be useful biomarkers for periodontal diseases. Recently, determinations of genes and proteins by using microdevices are studied for diagnosis of some diseases. We detected calprotectin protein by chemiluminescent immunoassay on a microchip and showed the possibility of specific and quantitative detection of calprotectin in a very small amount of GCF. To determine plural markers in GCF by using microdevices contributes to develop accurate, objective diagnostic system of periodontal diseases.

Landmark-based deep multi-instance learning for brain disease diagnosis.

PubMed

Liu, Mingxia; Zhang, Jun; Adeli, Ehsan; Shen, Dinggang

2018-01-01

In conventional Magnetic Resonance (MR) image based methods, two stages are often involved to capture brain structural information for disease diagnosis, i.e., 1) manually partitioning each MR image into a number of regions-of-interest (ROIs), and 2) extracting pre-defined features from each ROI for diagnosis with a certain classifier. However, these pre-defined features often limit the performance of the diagnosis, due to challenges in 1) defining the ROIs and 2) extracting effective disease-related features. In this paper, we propose a landmark-based deep multi-instance learning (LDMIL) framework for brain disease diagnosis. Specifically, we first adopt a data-driven learning approach to discover disease-related anatomical landmarks in the brain MR images, along with their nearby image patches. Then, our LDMIL framework learns an end-to-end MR image classifier for capturing both the local structural information conveyed by image patches located by landmarks and the global structural information derived from all detected landmarks. We have evaluated our proposed framework on 1526 subjects from three public datasets (i.e., ADNI-1, ADNI-2, and MIRIAD), and the experimental results show that our framework can achieve superior performance over state-of-the-art approaches. Copyright © 2017 Elsevier B.V. All rights reserved.

Research of Litchi Diseases Diagnosis Expertsystem Based on Rbr and Cbr

NASA Astrophysics Data System (ADS)

Xu, Bing; Liu, Liqun

To conquer the bottleneck problems existing in the traditional rule-based reasoning diseases diagnosis system, such as low reasoning efficiency and lack of flexibility, etc.. It researched the integrated case-based reasoning (CBR) and rule-based reasoning (RBR) technology, and put forward a litchi diseases diagnosis expert system (LDDES) with integrated reasoning method. The method use data mining and knowledge obtaining technology to establish knowledge base and case library. It adopt rules to instruct the retrieval and matching for CBR, and use association rule and decision trees algorithm to calculate case similarity.The experiment shows that the method can increase the system's flexibility and reasoning ability, and improve the accuracy of litchi diseases diagnosis.

Automatic diagnosis of tuberculosis disease based on Plasmonic ELISA and color-based image classification.

PubMed

AbuHassan, Kamal J; Bakhori, Noremylia M; Kusnin, Norzila; Azmi, Umi Z M; Tania, Marzia H; Evans, Benjamin A; Yusof, Nor A; Hossain, M A

2017-07-01

Tuberculosis (TB) remains one of the most devastating infectious diseases and its treatment efficiency is majorly influenced by the stage at which infection with the TB bacterium is diagnosed. The available methods for TB diagnosis are either time consuming, costly or not efficient. This study employs a signal generation mechanism for biosensing, known as Plasmonic ELISA, and computational intelligence to facilitate automatic diagnosis of TB. Plasmonic ELISA enables the detection of a few molecules of analyte by the incorporation of smart nanomaterials for better sensitivity of the developed detection system. The computational system uses k-means clustering and thresholding for image segmentation. This paper presents the results of the classification performance of the Plasmonic ELISA imaging data by using various types of classifiers. The five-fold cross-validation results show high accuracy rate (>97%) in classifying TB images using the entire data set. Future work will focus on developing an intelligent mobile-enabled expert system to diagnose TB in real-time. The intelligent system will be clinically validated and tested in collaboration with healthcare providers in Malaysia.

[Scurvy. A rare differential diagnosis of rheumatic diseases].

PubMed

Hofheinz, K; Ganzleben, I; Schliep, S; Wacker, J; Schett, G; Manger, B

2016-03-01

In December 2014 a patient presented to our clinic with the clinical symptoms of vasculitis. However, treatment with glucocorticoids did not lead to any improvement; therefore, the differential diagnostics were extended to other indications and ultimately led to the diagnosis of scurvy. This article describes the clinical picture of scurvy and its relationship to rheumatic diseases based on a clinical case and additional information from the literature. Differences and similarities with important rheumatological disease symptoms are presented. Scurvy is a rare hypovitaminosis disease which can be manifested in different forms. In addition to vasculitis the symptoms can also resemble arthritis and hemarthrosis is a typical finding. These symptoms can be accompanied by unspecific manifestations, such as muscle pain and due to impaired collagen synthesis characteristic features, such as corkscrew hair can be observed. The causal therapy of scurvy is substitution of ascorbic acid. Scurvy is a rare differential diagnosis in the context of rheumatic diseases. The indications for scurvy can be a lack of response to immunosuppressive and immunomodulatory drugs as well as individual symptoms, such as corkscrew hair.

Exploring Symmetry to Assist Alzheimer's Disease Diagnosis

NASA Astrophysics Data System (ADS)

Illán, I. A.; Górriz, J. M.; Ramírez, J.; Salas-Gonzalez, D.; López, M.; Padilla, P.; Chaves, R.; Segovia, F.; Puntonet, C. G.

Alzheimer's disease (AD) is a progressive neurodegenerative disorder first affecting memory functions and then gradually affecting all cognitive functions with behavioral impairments and eventually causing death. Functional brain imaging as Single-Photon Emission Computed Tomography (SPECT) is commonly used to guide the clinician's diagnosis. The essential left-right symmetry of human brains is shown to play a key role in coding and recognition. In the present work we explore the implications of this symmetry in AD diagnosis, showing that recognition may be enhanced when considering this latent symmetry.

Cataplexy leading to the diagnosis of Niemann-Pick disease type C.

PubMed

Smit, Liesbeth S; Lammers, Gert Jan; Catsman-Berrevoets, Coriene E

2006-07-01

Cataplexy in childhood is a rare and often misdiagnosed symptom. It is described as a brief episode of bilateral loss of muscle tone with intact consciousness, triggered by a variety of strong emotions and in particular with unexpected laughter. This report presents a 9-year old male with progressive cerebellar and pyramidal symptoms and a cognitive decline since the age of 4. His recently developed "drop attacks" on laughter were recognized as cataplexy and led to the diagnosis of Niemann-Pick type C disease. With biochemical studies this diagnosis, a lysosomal storage disease, was confirmed. With cataplexy narcolepsy, Niemann-Pick type C disease, Norrie disease, Prader-Willi syndrome, and Coffin-Lowry syndrome are associated disorders. Recognition of cataplexy in children with concomitant neurologic symptoms may lead to an early and straight diagnosis of one of these disorders.

[Atheroembolism renal disease: diagnosis and etiologic factors].

PubMed

Granata, A; Insalaco, M; Di Pietro, F; Di Rosa, S; Romano, G; Scuderi, R

2012-07-01

Atheromatous renal disease is the major cause of renal insufficiency in the elderly, and cholesterol embolism is a manifestation of this disease. Cholesterol embolism occurs in patients suffering from diffuse erosive atherosclerosis, usually after triggering causes, such as aortic surgery, arterial invasive procedures (angiography, left heart catheterization and coronary angioplasty) and anticoagulant or thrombolytic therapy. It is characterized by occlusion of small arteries with cholesterol emboli deriving from eroded atheromatous plaques of the aorta or large feeder arteries. The proximity of the kidneys to the abdominal aorta and the large renal blood supply make the kidney a frequent target organ for cholesterol atheroembolism. The exact incidence of atheroembolic renal disease (AERD) is not known. The reported incidence AERD varied in the literature because of the differences in study design and the different criteria used for making the diagnosis. Retrospective data derived from autopsy or biopsy studies may exaggerate the frequency by including many subclinical cases. Clinical observations that are based on a short duration of follow-up after an invasive vascular procedure and the infrequency of the confirmatory renal biopsies can lead to an underestimation of the true incidence of AERD. The initial signs and symptoms in patients diagnosed with cholesterol embolism were blue toes syndrome, livedo reticularis, gangrene, leg, toe or foot pain, abdominal pain and flank or back pain, gross haematuria, accelerated hypertension and renal failure. Cholesterol embolism may also be associated with fever, increased erythrocyte sedimentation rate and eosinophilia. Thus, in the cases of spontaneous cholesterol embolism, differential diagnosis includes, polyarteritis nodosa, allergic vasculitis and subacute bacterial endocarditis. Skin and renal biopsy specimens are the best sample for histologic diagnosis. There is, at present, no pharmacological treatments shown to be

In-utero diagnosis of Norrie disease by ultrasonography.

PubMed

Redmond, R M; Vaughan, J I; Jay, M; Jay, B

1993-03-01

Obstetric ultrasonography of an obligate Norrie disease carrier revealed bilateral retinal detachments in a third trimester male fetus. Postnatal examination confirmed the diagnosis of Norrie disease. DNA linkage analysis with the markers L1.28 and MAO had been uninformative for this family. This report suggests that retinal detachment occurs late in the gestation of the affected fetus.

Advances in Raman spectroscopy for the diagnosis of Alzheimer's disease

NASA Astrophysics Data System (ADS)

Sudworth, Caroline D.; Archer, John K. J.; Black, Richard A.; Mann, David

2006-02-01

Within the next 50 years Alzheimer's disease is expected to affect 100 million people worldwide. The progressive decline in the mental health of the patient is caused by severe brain atrophy generated by the breakdown and aggregation of proteins, resulting in β-amyloid plaques and neurofibrillary tangles. The greatest challenge to Alzheimer's disease lies in the pursuit of an early and definitive diagnosis, in order that suitable treatment can be administered. At the present time, definitive diagnosis is restricted to post-mortem examination. Alzheimer's disease also remains without a long-term cure. This research demonstrates the potential role of Raman spectroscopy, combined with principle components analysis (PCA), as a diagnostic method. Analyses of ethically approved ex vivo post-mortem brain tissues (originating from frontal and occipital lobes) from control (3 normal elderly subjects and 3 Huntingdon's disease subjects) and Alzheimer's disease (12 subjects) brain sections, and a further set of 12 blinded samples are presented. Spectra originating from these tissues are highly reproducible, and initial results indicate a vital difference in protein content and conformation, relating to the abnormally high levels of aggregated proteins in the diseased tissues. Further examination of these spectra using PCA allows for the separation of control from diseased tissues. The validation of the PCA models using blinded samples also displays promise for the identification of Alzheimer's disease, in conjunction with secondary information regarding other brain diseases and dementias. These results provide a route for Raman spectroscopy as a possible non-invasive, non-destructive tool for the early diagnosis of Alzheimer's disease.

[Diagnosis of Hansen's disease].

PubMed

Yotsu, Rie Roselyne; Suzuki, Koichi; Mori, Shuichi; Ishii, Norihisa

2011-02-01

The Leprosy Mailing List (LML) is an e-mailing list open to whoever interested in the field from all over the world. It acts as a forum for exchanging information related to Hansen's disease. It was established in February 2001 in Italy, and the present moderator of the LML is Dr. Salvatore Noto. He and his colleague have recently introduced an atlas for diagnosing Hansen's disease which they brought together information and photos collected through the LML. The atlas is divided into three sections, (1) Introduction, (2) Cardinal signs, and (3) Diagnosis and the clinical spectrum of leprosy, and they are all accompanied with relevant photos. This time, Dr. Noto kindly permitted us to translate the atlas into Japanese to be published in the Japanese Journal of Leprosy and posted in the Japanese Leprosy Association homepage. This article includes the translation and some of the most informative photos. For more information, please refer to the homepage where you will find all photos in the atlas.

Delay in Diagnosis of Celiac Disease in Patients Without Gastrointestinal Complaints.

PubMed

Paez, Marco A; Gramelspacher, Anna Maria; Sinacore, James; Winterfield, Laura; Venu, Mukund

2017-11-01

The purpose of our study is to investigate the delay in diagnosis of patients with biopsy-proven celiac disease in those who present with gastrointestinal complaints vs nongastrointestinal complaints at our tertiary care center. Celiac disease is an autoimmune disorder that affects approximately 1% of the population worldwide. Celiac disease can have variable clinical presentations; it can be characterized by predominately gastrointestinal symptoms, or it may present without any gastrointestinal symptoms. We retrospectively reviewed the charts of 687 adult patients who carried the diagnosis of celiac disease. Patients included had biopsy-proven celiac disease and were categorized based on presence or absence of gastrointestinal symptoms prior to their diagnosis. There were 101 patients with biopsy-proven celiac disease that met inclusion criteria. Fifty-two patients presented with gastrointestinal symptoms and 49 had nongastrointestinal complaints. Results from Mann-Whitney statistical analysis showed a median delay in diagnosis of 2.3 months for the gastrointestinal symptoms group and 42 months for the nongastrointestinal group (P <.001); 43.2% of patients with nongastrointestinal symptoms had abnormal thyroid-stimulating hormone, as opposed to 15.5% in the gastrointestinal symptom group (P = .004). Of patients with nongastrointestinal symptoms, 69.4% had anemia, compared with 11.5% of the gastrointestinal symptom group (P <.001). The majority of patients in the nongastrointestinal symptom group, 68%, were noted to have abnormal bone density scans, compared with 41% in the gastrointestinal symptom group. No sex differences were noted on chi-squared analysis between the 2 groups (P = .997). Although there is growing awareness of celiac disease, the delay in diagnosis for patients without gastrointestinal symptoms remains prolonged, with an average delay of 3.5 years. Copyright © 2017 Elsevier Inc. All rights reserved.

Diagnosis and Prognosis of the Arbovirus-Dengue using Intelligent Algorithm

NASA Astrophysics Data System (ADS)

Jiji, G. Wiselin; Lakshmi, V. Selva; Lakshmi, K. Vathsala; Priya, S. Shunmuga

2016-06-01

Dengue is the most common and widespread arthropod-borne viral infection in the world. It was carried by mosquitoes and this disease used to be called break-bone fever. Dengue is a quite dangerous febrile disease transmitted by aedus aegypti mosquito that can even cause death. In this paper, we proposed new fusion architecture to support the diagnosis of Arbovirus-Dengue. The architecture combines features of platelets and Case-Based Reasoning (CBR) technology together to facilitate medical diagnosis. Along with these features and platelet count, CBR is incorporated which contains symptoms of the disease and platelet count. Experiments on a set of 10 images yielded a balanced accuracy of 86.95 %. This was a superior diagnosis performance in comparison with the state-of-the-art works.

Medical microbiology: laboratory diagnosis of invasive pneumococcal disease.

PubMed

Werno, Anja M; Murdoch, David R

2008-03-15

The laboratory diagnosis of invasive pneumococcal disease (IPD) continues to rely on culture-based methods that have been used for many decades. The most significant recent developments have occurred with antigen detection assays, whereas the role of nucleic acid amplification tests has yet to be fully clarified. Despite developments in laboratory diagnostics, a microbiological diagnosis is still not made in most cases of IPD, particularly for pneumococcal pneumonia. The limitations of existing diagnostic tests impact the ability to obtain accurate IPD burden data and to assess the effectiveness of control measures, such as vaccination, in addition to the ability to diagnose IPD in individual patients. There is an urgent need for improved diagnostic tests for pneumococcal disease--especially tests that are suitable for use in underresourced countries.

In Vitro and In Vivo SERS Biosensing for Disease Diagnosis.

PubMed

Moore, T Joshua; Moody, Amber S; Payne, Taylor D; Sarabia, Grace M; Daniel, Alyssa R; Sharma, Bhavya

2018-05-11

For many disease states, positive outcomes are directly linked to early diagnosis, where therapeutic intervention would be most effective. Recently, trends in disease diagnosis have focused on the development of label-free sensing techniques that are sensitive to low analyte concentrations found in the physiological environment. Surface-enhanced Raman spectroscopy (SERS) is a powerful vibrational spectroscopy that allows for label-free, highly sensitive, and selective detection of analytes through the amplification of localized electric fields on the surface of a plasmonic material when excited with monochromatic light. This results in enhancement of the Raman scattering signal, which allows for the detection of low concentration analytes, giving rise to the use of SERS as a diagnostic tool for disease. Here, we present a review of recent developments in the field of in vivo and in vitro SERS biosensing for a range of disease states including neurological disease, diabetes, cardiovascular disease, cancer, and viral disease.

Plasma-Enabled Carbon Nanostructures for Early Diagnosis of Neurodegenerative Diseases

PubMed Central

Pineda, Shafique; Han, Zhao Jun; Ostrikov, Kostya (Ken)

2014-01-01

Carbon nanostructures (CNs) are amongst the most promising biorecognition nanomaterials due to their unprecedented optical, electrical and structural properties. As such, CNs may be harnessed to tackle the detrimental public health and socio-economic adversities associated with neurodegenerative diseases (NDs). In particular, CNs may be tailored for a specific determination of biomarkers indicative of NDs. However, the realization of such a biosensor represents a significant technological challenge in the uniform fabrication of CNs with outstanding qualities in order to facilitate a highly-sensitive detection of biomarkers suspended in complex biological environments. Notably, the versatility of plasma-based techniques for the synthesis and surface modification of CNs may be embraced to optimize the biorecognition performance and capabilities. This review surveys the recent advances in CN-based biosensors, and highlights the benefits of plasma-processing techniques to enable, enhance, and tailor the performance and optimize the fabrication of CNs, towards the construction of biosensors with unparalleled performance for the early diagnosis of NDs, via a plethora of energy-efficient, environmentally-benign, and inexpensive approaches. PMID:28788112

Timely Diagnosis for Alzheimer's Disease: A Literature Review on Benefits and Challenges.

PubMed

Dubois, Bruno; Padovani, Alessandro; Scheltens, Philip; Rossi, Andrea; Dell'Agnello, Grazia

2016-01-01

Timely diagnosis of Alzheimer's disease (AD) refers to a diagnosis at the stage when patients come to the attention of clinicians because of concerns about changes in cognition, behavior, or functioning and can be still free of dementia and functionally independent. To comprehensively review existing scientific evidence on the benefits and potential challenges of making a timely diagnosis of AD. Relevant studies were identified by searching electronic databases (Medline, Embase) and bibliographies for studies published in English between 1 January 2000 and 2 June 2014 on the consequences of a timely diagnosis of AD. Nine studies were identified that investigated the consequences of diagnosing AD at the initial stages; none were specifically focused on prodromal AD. A timely diagnosis potentially offers the opportunities of early intervention, implementation of coordinated care plans, better management of symptoms, patient safety, cost savings, and postponement of institutionalization. Barriers to making a timely diagnosis include stigma, suicide risk, lack of training, diagnostic uncertainty, shortage of specialized diagnostic services, and the reluctance of healthcare providers to make a diagnosis when no effective disease-modifying options are available. Despite its potential benefits, few published studies have explored the advantages or risks of a timely diagnosis of AD. In light of the cultural shift toward diagnosis at the initial stage of the disease continuum, when the patient does not yet have dementia, more investigations are needed to evaluate the benefits and address the barriers that may impede making a timely AD diagnosis.

Bayesian approach to transforming public gene expression repositories into disease diagnosis databases.

PubMed

Huang, Haiyan; Liu, Chun-Chi; Zhou, Xianghong Jasmine

2010-04-13

The rapid accumulation of gene expression data has offered unprecedented opportunities to study human diseases. The National Center for Biotechnology Information Gene Expression Omnibus is currently the largest database that systematically documents the genome-wide molecular basis of diseases. However, thus far, this resource has been far from fully utilized. This paper describes the first study to transform public gene expression repositories into an automated disease diagnosis database. Particularly, we have developed a systematic framework, including a two-stage Bayesian learning approach, to achieve the diagnosis of one or multiple diseases for a query expression profile along a hierarchical disease taxonomy. Our approach, including standardizing cross-platform gene expression data and heterogeneous disease annotations, allows analyzing both sources of information in a unified probabilistic system. A high level of overall diagnostic accuracy was shown by cross validation. It was also demonstrated that the power of our method can increase significantly with the continued growth of public gene expression repositories. Finally, we showed how our disease diagnosis system can be used to characterize complex phenotypes and to construct a disease-drug connectivity map.

Serological Diagnosis of Chronic Chagas Disease: Is It Time for a Change?

PubMed Central

Abras, Alba; Gállego, Montserrat; Llovet, Teresa; Tebar, Silvia; Herrero, Mercedes; Berenguer, Pere; Ballart, Cristina; Martí, Carmen

2016-01-01

Chagas disease has spread to areas that are nonendemic for the disease with human migration. Since no single reference standard test is available, serological diagnosis of chronic Chagas disease requires at least two tests. New-generation techniques have significantly improved the accuracy of Chagas disease diagnosis by the use of a large mixture of recombinant antigens with different detection systems, such as chemiluminescence. The aim of the present study was to assess the overall accuracy of a new-generation kit, the Architect Chagas (cutoff, ≥1 sample relative light units/cutoff value [S/CO]), as a single technique for the diagnosis of chronic Chagas disease. The Architect Chagas showed a sensitivity of 100% (95% confidence interval [CI], 99.5 to 100%) and a specificity of 97.6% (95% CI, 95.2 to 99.9%). Five out of six false-positive serum samples were a consequence of cross-reactivity with Leishmania spp., and all of them achieved results of <5 S/CO. We propose the Architect Chagas as a single technique for screening in blood banks and for routine diagnosis in clinical laboratories. Only gray-zone and positive sera with a result of ≤6 S/CO would need to be confirmed by a second serological assay, thus avoiding false-positive sera and the problem of cross-reactivity with Leishmania species. The application of this proposal would result in important savings in the cost of Chagas disease diagnosis and therefore in the management and control of the disease. PMID:27053668

Diagnosis and Treatment of the Cardiovascular Consequences of Fabry Disease.

PubMed

Baig, S; Vijapurapu, R; Alharbi, F; Nordin, S; Kozor, R; Moon, J; Bembi, B; Geberhiwot, T; Steeds, R P

2018-06-06

Fabry Disease (FD) has been a diagnostic challenge since it was first recognised in 1898, with patients traditionally suffering from considerable delay before a diagnosis is made. Cardiac involvement is the current leading cause of death in FD. A combination of improved enzyme assays, availability of genetic profiling, together with more organised clinical services for rare diseases, has led to a rapid growth in the prevalence of FD. The earlier and more frequent diagnosis of asymptomatic individuals before development of the phenotype has focussed attention on early detection of organ involvement and closer monitoring of disease progression. The high cost of enzyme replacement therapy at a time of constraint within many health economies moreover, has challenged clinicians to target treatment effectively. This article provides an outline of FD for the general physician and summarises the aetiology and pathology of FD, the cardiovascular (CV) consequences thereof, modalities used in diagnosis, and then discusses current indications for treatment, including pharmacotherapy and device implantation.

Chlorophyll as a biomarker for early disease diagnosis

NASA Astrophysics Data System (ADS)

Manzoor Atta, Babar; Saleem, M.; Ali, Hina; Arshad, Hafiz Muhammad Imran; Ahmed, M.

2018-06-01

The current study was designed to identify the stage for the diagnosis of disease before visible symptoms appeared. Fluorescence spectroscopy has been employed to identify disease signatures for its early diagnosis in rice plant leaves. Bacterial leaf blight (BLB) diseased and healthy leaf samples were collected from the rice fields in September, 2017 which were then used to record spectra using an excitation wavelength at 410 nm. The spectral range of emission was set from 420 to 800 nm which covers the blue–green and the chlorophyll bands. It was found that diseased leaves have a narrower ‘chlorophyll a’ band than healthy ones, and furthermore, that the emission band at 730 nm was either declined or depleted in the sample with high infection symptoms. In contrast, the blue–green region was observed to increase due to the emergence of disease. As the band intensity of chlorophyll decreases during infection, this decrease in chlorophyll content and increase in the blue–green spectral region could provide a new approach for predicting BLB at an early stage. The important finding was that the chlorophyll degradation and rise in the blue–green region take place in leaves with BLB or during BLB infection. Principal component analysis has been applied to spectral data which successfully separated diseased samples from healthy ones even with very small spectral variations.

The Biosurveillance Analytics Resource Directory (BARD): Facilitating the use of epidemiological models for infectious disease surveillance

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

Margevicius, Kristen J.; Generous, Nicholas; Abeyta, Esteban

Epidemiological modeling for infectious disease is important for disease management and its routine implementation needs to be facilitated through better description of models in an operational context. A standardized model characterization process that allows selection or making manual comparisons of available models and their results is currently lacking. A key need is a universal framework to facilitate model description and understanding of its features. Los Alamos National Laboratory (LANL) has developed a comprehensive framework that can be used to characterize an infectious disease model in an operational context. The framework was developed through a consensus among a panel of subjectmore » matter experts. In this paper, we describe the framework, its application to model characterization, and the development of the Biosurveillance Analytics Resource Directory (BARD; http://brd.bsvgateway.org/brd/), to facilitate the rapid selection of operational models for specific infectious/communicable diseases. We offer this framework and associated database to stakeholders of the infectious disease modeling field as a tool for standardizing model description and facilitating the use of epidemiological models.« less

The Biosurveillance Analytics Resource Directory (BARD): Facilitating the Use of Epidemiological Models for Infectious Disease Surveillance

PubMed Central

Margevicius, Kristen J; Generous, Nicholas; Abeyta, Esteban; Althouse, Ben; Burkom, Howard; Castro, Lauren; Daughton, Ashlynn; Del Valle, Sara Y.; Fairchild, Geoffrey; Hyman, James M.; Kiang, Richard; Morse, Andrew P.; Pancerella, Carmen M.; Pullum, Laura; Ramanathan, Arvind; Schlegelmilch, Jeffrey; Scott, Aaron; Taylor-McCabe, Kirsten J; Vespignani, Alessandro; Deshpande, Alina

2016-01-01

Epidemiological modeling for infectious disease is important for disease management and its routine implementation needs to be facilitated through better description of models in an operational context. A standardized model characterization process that allows selection or making manual comparisons of available models and their results is currently lacking. A key need is a universal framework to facilitate model description and understanding of its features. Los Alamos National Laboratory (LANL) has developed a comprehensive framework that can be used to characterize an infectious disease model in an operational context. The framework was developed through a consensus among a panel of subject matter experts. In this paper, we describe the framework, its application to model characterization, and the development of the Biosurveillance Analytics Resource Directory (BARD; http://brd.bsvgateway.org/brd/), to facilitate the rapid selection of operational models for specific infectious/communicable diseases. We offer this framework and associated database to stakeholders of the infectious disease modeling field as a tool for standardizing model description and facilitating the use of epidemiological models. PMID:26820405

The Biosurveillance Analytics Resource Directory (BARD): Facilitating the Use of Epidemiological Models for Infectious Disease Surveillance.

PubMed

Margevicius, Kristen J; Generous, Nicholas; Abeyta, Esteban; Althouse, Ben; Burkom, Howard; Castro, Lauren; Daughton, Ashlynn; Del Valle, Sara Y; Fairchild, Geoffrey; Hyman, James M; Kiang, Richard; Morse, Andrew P; Pancerella, Carmen M; Pullum, Laura; Ramanathan, Arvind; Schlegelmilch, Jeffrey; Scott, Aaron; Taylor-McCabe, Kirsten J; Vespignani, Alessandro; Deshpande, Alina

2016-01-01

Epidemiological modeling for infectious disease is important for disease management and its routine implementation needs to be facilitated through better description of models in an operational context. A standardized model characterization process that allows selection or making manual comparisons of available models and their results is currently lacking. A key need is a universal framework to facilitate model description and understanding of its features. Los Alamos National Laboratory (LANL) has developed a comprehensive framework that can be used to characterize an infectious disease model in an operational context. The framework was developed through a consensus among a panel of subject matter experts. In this paper, we describe the framework, its application to model characterization, and the development of the Biosurveillance Analytics Resource Directory (BARD; http://brd.bsvgateway.org/brd/), to facilitate the rapid selection of operational models for specific infectious/communicable diseases. We offer this framework and associated database to stakeholders of the infectious disease modeling field as a tool for standardizing model description and facilitating the use of epidemiological models.

The Biosurveillance Analytics Resource Directory (BARD): Facilitating the use of epidemiological models for infectious disease surveillance

DOE PAGES

Margevicius, Kristen J.; Generous, Nicholas; Abeyta, Esteban; ...

2016-01-28

Epidemiological modeling for infectious disease is important for disease management and its routine implementation needs to be facilitated through better description of models in an operational context. A standardized model characterization process that allows selection or making manual comparisons of available models and their results is currently lacking. A key need is a universal framework to facilitate model description and understanding of its features. Los Alamos National Laboratory (LANL) has developed a comprehensive framework that can be used to characterize an infectious disease model in an operational context. The framework was developed through a consensus among a panel of subjectmore » matter experts. In this paper, we describe the framework, its application to model characterization, and the development of the Biosurveillance Analytics Resource Directory (BARD; http://brd.bsvgateway.org/brd/), to facilitate the rapid selection of operational models for specific infectious/communicable diseases. We offer this framework and associated database to stakeholders of the infectious disease modeling field as a tool for standardizing model description and facilitating the use of epidemiological models.« less

Prevalence of metabolic bone disease in children with celiac disease is independent of symptoms at diagnosis.

PubMed

Turner, Justine; Pellerin, Genevieve; Mager, Diana

2009-11-01

: Given dietary gluten exposure, growing children with celiac disease may experience malabsorption of nutrients, negatively affecting bone health. The purpose of this study was to determine the prevalence of low bone mass in children with celiac disease, according to the presence of symptoms at diagnosis. : A retrospective chart review of the Stollery Children's Hospital Celiac Clinic charts (April 1989-September 2007) was conducted. Bone mineral density (BMD) of the spine was measured using dual energy x-ray absorptiometry. Demographics, symptoms at presentation, and anthropometric and biochemical data relevant to bone health were recorded. : Seventy-four children (9.6 +/- 3.7 years; range 3.3-16.0 years) were included. Lumbar BMD z scores more than or equal to -1 were observed in 58 cases (65%), z scores below -1 but above -2 were observed in 14 cases (19%) and z scores less than or equal to -2 were observed in 12 cases (16%). There was no significant difference in mean lumbar BMD z scores between symptomatic and asymptomatic children (P = 0.34). When adjusted for bone age and bone surface area, BMD lumbar z score was inversely correlated with age at diagnosis (P < 0.05). : An equivalent reduction in spine bone mass was observed in children with celiac disease at diagnosis regardless of the presence of symptoms. Delayed diagnosis of children with celiac disease may increase the risk of adult osteoporosis. Appropriate screening of children at risk of celiac disease for the purpose of early diagnosis, as well as routine evaluation of bone mineral density in such children, are important to prevent long-term complications associated with poor bone health.

Multiomics tools for the diagnosis and treatment of rare neurological disease.

PubMed

Crowther, L M; Poms, M; Plecko, Barbara

2018-05-01

Conventional workup of rare neurological disease is frequently hampered by diagnostic delay or lack of diagnosis. While biomarkers have been established for many neurometabolic disorders, improved methods are required for diagnosis of previously unidentified or underreported causes of rare neurological disease. This would result in a higher diagnostic yield and increased patient numbers required for interventional studies. Recent studies using next-generation sequencing and metabolomics have led to identification of novel disease-causing genes and biomarkers. This combined approach can assist in overcoming challenges associated with analyzing and interpreting the large amount of data obtained from each technique. In particular, metabolomics can support the pathogenicity of sequence variants in genes encoding enzymes or transporters involved in metabolic pathways. Moreover, metabolomics can show the broader perturbation caused by inborn errors of metabolism and identify a metabolic fingerprint of metabolic disorders. As such, using "omics" has great potential to meet the current needs for improved diagnosis and elucidation of rare neurological disease.

Molecular Diagnosis of Putative Stargardt Disease by Capture Next Generation Sequencing

PubMed Central

Shi, Wei; Huang, Ping; Min, Qingjie; Li, Minghan; Yu, Xinping; Wu, Yaming; Zhao, Guangyu; Tong, Yi; Jin, Zi-Bing; Qu, Jia; Gu, Feng

2014-01-01

Stargardt Disease (STGD) is the commonest genetic form of juvenile or early adult onset macular degeneration, which is a genetically heterogeneous disease. Molecular diagnosis of STGD remains a challenge in a significant proportion of cases. To address this, seven patients from five putative STGD families were recruited. We performed capture next generation sequencing (CNGS) of the probands and searched for potentially disease-causing genetic variants in previously identified retinal or macular dystrophy genes. Seven disease-causing mutations in ABCA4 and two in PROM1 were identified by CNGS, which provides a confident genetic diagnosis in these five families. We also provided a genetic basis to explain the differences among putative STGD due to various mutations in different genes. Meanwhile, we show for the first time that compound heterozygous mutations in PROM1 gene could cause cone-rod dystrophy. Our findings support the enormous potential of CNGS in putative STGD molecular diagnosis. PMID:24763286

Diagnosis and management of refractory celiac disease: a systematic review.

PubMed

Labidi, Asma; Serghini, Meriem; Karoui, Sami; Boubaker, Jalel; Filali, Azza

2013-01-01

Refractory celiac disease is defined by persisting malabsorptive symptoms in spite of a strict gluten free diet for at least 6 to 12 months. Alternatives to gluten free diet seem to be still controversial. To describe the clinical and epidemiologic aspects of refractory celiac disease, and to identify therapeutic options in this condition. Systematic review and critical analysis of observational studies, clinical trials and case reports that focused on diagnosis and management of refractory celiac disease. Refractory celiac disease can be classified as type 1 or type 2 according to the phenotype of intraepithelial lymphocytes. Great complications such as enteropathy-associated T-cell lymphoma may occur in a subgroup of these patients mainly in refractory celiac disease type 2. Curative therapies are still lacking. Refractory celiac disease remains a diagnosis of exclusion. Its prognosis remains still dismal by the absence yet of curative therapies. However, some new treatments seem to hold promise during few cohort-studies.

Diagnosis and classification of Goodpasture's disease (anti-GBM).

PubMed

Hellmark, Thomas; Segelmark, Mårten

2014-01-01

Goodpasture's disease or anti-glomerular basement membrane disease (anti-GBM-disease) is included among immune complex small vessel vasculitides. The definition of anti-GBM disease is a vasculitis affecting glomerular capillaries, pulmonary capillaries, or both, with GBM deposition of anti-GBM autoantibodies. The disease is a prototype of autoimmune disease, where the patients develop autoantibodies that bind to the basement membranes and activate the classical pathway of the complement system, which start a neutrophil dependent inflammation. The diagnosis of anti-GBM disease relies on the detection of anti-GBM antibodies in conjunction with glomerulonephritis and/or alveolitis. Overt clinical symptoms are most prominent in the glomeruli where the inflammation usually results in a severe rapidly progressive glomerulonephritis. Despite modern treatment less than one third of the patients survive with a preserved kidney function after 6 months follow-up. Frequencies vary from 0.5 to 1 cases per million inhabitants per year and there is a strong genetic linkage to HLA-DRB1(∗)1501 and DRB1(∗)1502. Essentially, anti-GBM disease is now a preferred term for what was earlier called Goodpasture's syndrome or Goodpasture's disease; anti-GBM disease is now classified as small vessel vasculitis caused by in situ immune complex formation; the diagnosis relies on the detection of anti-GBM in tissues or circulation in conjunction with alveolar or glomerular disease; therapy is effective only when detected at an early stage, making a high degree of awareness necessary to find these rare cases; 20-35% have anti-GBM and MPO-ANCA simultaneously, which necessitates testing for anti-GBM whenever acute test for ANCA is ordered in patients with renal disease. Copyright © 2014 Elsevier Ltd. All rights reserved.

[An ophthalmologic diagnostic error leading to a rare systemic diagnosis: Erdheim-Chester disease].

PubMed

Gilles, M; Alberti, N; Seguy, C; Leger, F; Frulio, N; Pechmeja, J; Longueville, E; Korobelnik, J-F

2014-05-01

Erdheim-Chester disease is a rare systemic disease. The diagnosis is difficult due to significant clinical and morphological polymorphism. Orbital involvement is rare, but constitutes a classic means of detection. We report the case of a 60-year-old man, who consulted for evaluation of bilateral retro-orbital tumors. These tumors had been discovered on head CT two years previously during work-up of proptosis. Two biopsies were performed. The first one revealed polymorphous inflammatory tissue. The second one revealed intense granulomatous reaction, rich in non-specific foamy histiocytes. Thoracic-abdominal-pelvic CT scan detected peri-aortic and retroperitoneal infiltration. The association of these signs pointed to a diagnosis of Erdheim-Chester disease, confirmed by the re-examination of the histological samples. Erdheim-Chester disease is a rare non-Langerhans histiocytosis with a specific tropism for perivascular and fatty connective tissue. The cause is not known. The diagnosis of this systemic disease is histological. In the case of bilateral intra-orbital tumors, the diagnosis of Erdheim-Chester disease must be considered. Copyright © 2014 Elsevier Masson SAS. All rights reserved.

Diagnosis and Treatment of Hardware Disease.

PubMed

Miesner, Matt D; Reppert, Emily J

2017-11-01

Eating habits in cattle are less discriminant than other ruminants, and they more often accidentally ingest strange objects while feeding. Penetrating foreign bodies may cause mild to severe peritonitis, penetrate the diaphragm to cause pleuritis or pericarditis, or cause localized abscesses in the thorax or abdomen. Because these objects are most often metal, a common term for this problem is hardware disease. An accurate history and thorough physical examination often yields a diagnosis; however, ancillary diagnostics can enhance accuracy and disease magnitude before exploratory surgery. Treatment encompasses controlling infection and inflammation and foreign body removal; preventive measures are emphasized. Copyright © 2017 Elsevier Inc. All rights reserved.

Orbital inflammatory disease: Pictorial review and differential diagnosis

PubMed Central

Pakdaman, Michael N; Sepahdari, Ali R; Elkhamary, Sahar M

2014-01-01

Orbital inflammatory disease (OID) represents a collection of inflammatory conditions affecting the orbit. OID is a diagnosis of exclusion, with the differential diagnosis including infection, systemic inflammatory conditions, and neoplasms, among other conditions. Inflammatory conditions in OID include dacryoadenitis, myositis, cellulitis, optic perineuritis, periscleritis, orbital apicitis, and a focal mass. Sclerosing orbital inflammation is a rare condition with a chronic, indolent course involving dense fibrosis and lymphocytic infiltrate. Previously thought to be along the spectrum of OID, it is now considered a distinct pathologic entity. Imaging plays an important role in elucidating any underlying etiology behind orbital inflammation and is critical for ruling out other conditions prior to a definitive diagnosis of OID. In this review, we will explore the common sites of involvement by OID and discuss differential diagnosis by site and key imaging findings for each condition. PMID:24778772

Computer-Based Image Analysis for Plus Disease Diagnosis in Retinopathy of Prematurity

PubMed Central

Wittenberg, Leah A.; Jonsson, Nina J.; Chan, RV Paul; Chiang, Michael F.

2014-01-01

Presence of plus disease in retinopathy of prematurity (ROP) is an important criterion for identifying treatment-requiring ROP. Plus disease is defined by a standard published photograph selected over 20 years ago by expert consensus. However, diagnosis of plus disease has been shown to be subjective and qualitative. Computer-based image analysis, using quantitative methods, has potential to improve the objectivity of plus disease diagnosis. The objective was to review the published literature involving computer-based image analysis for ROP diagnosis. The PubMed and Cochrane library databases were searched for the keywords “retinopathy of prematurity” AND “image analysis” AND/OR “plus disease.” Reference lists of retrieved articles were searched to identify additional relevant studies. All relevant English-language studies were reviewed. There are four main computer-based systems, ROPtool (AU ROC curve, plus tortuosity 0.95, plus dilation 0.87), RISA (AU ROC curve, arteriolar TI 0.71, venular diameter 0.82), Vessel Map (AU ROC curve, arteriolar dilation 0.75, venular dilation 0.96), and CAIAR (AU ROC curve, arteriole tortuosity 0.92, venular dilation 0.91), attempting to objectively analyze vessel tortuosity and dilation in plus disease in ROP. Some of them show promise for identification of plus disease using quantitative methods. This has potential to improve the diagnosis of plus disease, and may contribute to the management of ROP using both traditional binocular indirect ophthalmoscopy and image-based telemedicine approaches. PMID:21366159

New digital cholangiopancreatoscopy for diagnosis and therapy of pancreaticobiliary diseases (with videos).

PubMed

Tanaka, Reina; Itoi, Takao; Honjo, Mitsusyoshi; Tsuchiya, Takayoshi; Kurihara, Toshio; Tsuji, Shujiro; Tonozuka, Ryosuke; Kamada, Kentato; Sofuni, Atsushi; Mukai, Shuntaro

2016-04-01

Recently, a new digital cholangiopancreatoscopy (DCPS) has been developed. The aim of this study is to retrospectively evaluate the utility of new DCPS in patients with pancreaticobiliary diseases. Digital cholangiopancreatoscopy was used in 26 patients (16 men) with pancreaticobiliary diseases that could not be diagnosed and treated by standard endoscopic retrograde cholangiopancreatography (ERCP). The procedures included DCPS-guided tissue sampling and interventions. Technical success and adverse events were evaluated. Among the 26 patients, 19 patients were classified for diagnostic purposes and seven for therapeutic purposes. The detailed breakdown of the particular conditions and numbers of patients was as follows: indeterminate bile duct (BD) lesion, indeterminate pancreatic duct (PD) lesion, lithotripsy by yttrium aluminum garnet-laser or electrohydraulic lithotripsy, removal of migrated BD stent and PD stent, and guidewire passing across the biliary stricture. The overall technical success rates of visualizing the target lesions and therapeutic interventions were 100% and 85.7%, respectively. The incidence of procedure-related adverse events among the patients was 7.7% (2/26). Cholangitis developed in one of the patients and post-endoscopic sphincterotomy bleeding in one patient. All adverse events were successfully treated by conservative therapy. Digital cholangiopancreatoscopy has a high potential for providing an accurate diagnosis and facilitating therapy in patients with pancreaticobiliary diseases. © 2016 Japanese Society of Hepato-Biliary-Pancreatic Surgery.

Crohn Disease: Epidemiology, Diagnosis, and Management.

PubMed

Feuerstein, Joseph D; Cheifetz, Adam S

2017-07-01

Crohn disease is a chronic idiopathic inflammatory bowel disease condition characterized by skip lesions and transmural inflammation that can affect the entire gastrointestinal tract from the mouth to the anus. For this review article, we performed a review of articles in PubMed through February 1, 2017, by using the following Medical Subject Heading terms: crohns disease, crohn's disease, crohn disease, inflammatory bowel disease, and inflammatory bowel diseases. Presenting symptoms are often variable and may include diarrhea, abdominal pain, weight loss, nausea, vomiting, and in certain cases fevers or chills. There are 3 main disease phenotypes: inflammatory, structuring, and penetrating. In addition to the underlying disease phenotype, up to a third of patients will develop perianal involvement of their disease. In addition, in some cases, extraintestinal manifestations may develop. The diagnosis is typically made with endoscopic and/or radiologic findings. Disease management is usually with pharmacologic therapy, which is determined on the basis of disease severity and underlying disease phenotype. Although the goal of management is to control the inflammation and induce a clinical remission with pharmacologic therapy, most patients will eventually require surgery for their disease. Unfortunately, surgery is not curative and patients still require ongoing therapy even after surgery for disease recurrence. Importantly, given the risks of complications from both Crohn disease and the medications used to treat the disease process, primary care physicians play an important role in optimizing the preventative care management to reduce the risk of complications. Copyright © 2017 Mayo Foundation for Medical Education and Research. Published by Elsevier Inc. All rights reserved.

Use of curcumin in diagnosis, prevention, and treatment of Alzheimer's disease

PubMed Central

Chen, Min; Du, Zhi-Yun; Zheng, Xi; Li, Dong-Li; Zhou, Ren-Ping; Zhang, Kun

2018-01-01

This review summarizes and describes the use of curcumin in diagnosis, prevention, and treatment of Alzheimer's disease. For diagnosis of Alzheimer's disease, amyloid-β and highly phosphorylated tau protein are the major biomarkers. Curcumin was developed as an early diagnostic probe based on its natural fluorescence and high binding affinity to amyloid-β. Because of its multi-target effects, curcumin has protective and preventive effects on many chronic diseases such as cerebrovascular disease, hypertension, and hyperlipidemia. For prevention and treatment of Alzheimer's disease, curcumin has been shown to effectively maintain the normal structure and function of cerebral vessels, mitochondria, and synapses, reduce risk factors for a variety of chronic diseases, and decrease the risk of Alzheimer's disease. The effect of curcumin on Alzheimer's disease involves multiple signaling pathways: anti-amyloid and metal iron chelating properties, antioxidation and anti-inflammatory activities. Indeed, there is a scientific basis for the rational application of curcumin in prevention and treatment of Alzheimer's disease. PMID:29722330

Use of curcumin in diagnosis, prevention, and treatment of Alzheimer's disease.

PubMed

Chen, Min; Du, Zhi-Yun; Zheng, Xi; Li, Dong-Li; Zhou, Ren-Ping; Zhang, Kun

2018-04-01

This review summarizes and describes the use of curcumin in diagnosis, prevention, and treatment of Alzheimer's disease. For diagnosis of Alzheimer's disease, amyloid-β and highly phosphorylated tau protein are the major biomarkers. Curcumin was developed as an early diagnostic probe based on its natural fluorescence and high binding affinity to amyloid-β. Because of its multi-target effects, curcumin has protective and preventive effects on many chronic diseases such as cerebrovascular disease, hypertension, and hyperlipidemia. For prevention and treatment of Alzheimer's disease, curcumin has been shown to effectively maintain the normal structure and function of cerebral vessels, mitochondria, and synapses, reduce risk factors for a variety of chronic diseases, and decrease the risk of Alzheimer's disease. The effect of curcumin on Alzheimer's disease involves multiple signaling pathways: anti-amyloid and metal iron chelating properties, antioxidation and anti-inflammatory activities. Indeed, there is a scientific basis for the rational application of curcumin in prevention and treatment of Alzheimer's disease.

Effective diagnosis of genetic disease by computational phenotype analysis of the disease-associated genome

PubMed Central

Zemojtel, Tomasz; Köhler, Sebastian; Mackenroth, Luisa; Jäger, Marten; Hecht, Jochen; Krawitz, Peter; Graul-Neumann, Luitgard; Doelken, Sandra; Ehmke, Nadja; Spielmann, Malte; Øien, Nancy Christine; Schweiger, Michal R.; Krüger, Ulrike; Frommer, Götz; Fischer, Björn; Kornak, Uwe; Flöttmann, Ricarda; Ardeshirdavani, Amin; Moreau, Yves; Lewis, Suzanna E.; Haendel, Melissa; Smedley, Damian; Horn, Denise; Mundlos, Stefan; Robinson, Peter N.

2015-01-01

Less than half of patients with suspected genetic disease receive a molecular diagnosis. We have therefore integrated next-generation sequencing (NGS), bioinformatics, and clinical data into an effective diagnostic workflow. We used variants in the 2741 established Mendelian disease genes [the disease-associated genome (DAG)] to develop a targeted enrichment DAG panel (7.1 Mb), which achieves a coverage of 20-fold or better for 98% of bases. Furthermore, we established a computational method [Phenotypic Interpretation of eXomes (PhenIX)] that evaluated and ranked variants based on pathogenicity and semantic similarity of patients’ phenotype described by Human Phenotype Ontology (HPO) terms to those of 3991 Mendelian diseases. In computer simulations, ranking genes based on the variant score put the true gene in first place less than 5% of the time; PhenIX placed the correct gene in first place more than 86% of the time. In a retrospective test of PhenIX on 52 patients with previously identified mutations and known diagnoses, the correct gene achieved a mean rank of 2.1. In a prospective study on 40 individuals without a diagnosis, PhenIX analysis enabled a diagnosis in 11 cases (28%, at a mean rank of 2.4). Thus, the NGS of the DAG followed by phenotype-driven bioinformatic analysis allows quick and effective differential diagnostics in medical genetics. PMID:25186178

Effective diagnosis of genetic disease by computational phenotype analysis of the disease-associated genome.

PubMed

Zemojtel, Tomasz; Köhler, Sebastian; Mackenroth, Luisa; Jäger, Marten; Hecht, Jochen; Krawitz, Peter; Graul-Neumann, Luitgard; Doelken, Sandra; Ehmke, Nadja; Spielmann, Malte; Oien, Nancy Christine; Schweiger, Michal R; Krüger, Ulrike; Frommer, Götz; Fischer, Björn; Kornak, Uwe; Flöttmann, Ricarda; Ardeshirdavani, Amin; Moreau, Yves; Lewis, Suzanna E; Haendel, Melissa; Smedley, Damian; Horn, Denise; Mundlos, Stefan; Robinson, Peter N

2014-09-03

Less than half of patients with suspected genetic disease receive a molecular diagnosis. We have therefore integrated next-generation sequencing (NGS), bioinformatics, and clinical data into an effective diagnostic workflow. We used variants in the 2741 established Mendelian disease genes [the disease-associated genome (DAG)] to develop a targeted enrichment DAG panel (7.1 Mb), which achieves a coverage of 20-fold or better for 98% of bases. Furthermore, we established a computational method [Phenotypic Interpretation of eXomes (PhenIX)] that evaluated and ranked variants based on pathogenicity and semantic similarity of patients' phenotype described by Human Phenotype Ontology (HPO) terms to those of 3991 Mendelian diseases. In computer simulations, ranking genes based on the variant score put the true gene in first place less than 5% of the time; PhenIX placed the correct gene in first place more than 86% of the time. In a retrospective test of PhenIX on 52 patients with previously identified mutations and known diagnoses, the correct gene achieved a mean rank of 2.1. In a prospective study on 40 individuals without a diagnosis, PhenIX analysis enabled a diagnosis in 11 cases (28%, at a mean rank of 2.4). Thus, the NGS of the DAG followed by phenotype-driven bioinformatic analysis allows quick and effective differential diagnostics in medical genetics. Copyright © 2014, American Association for the Advancement of Science.

Amyloid imaging with PET in early Alzheimer disease diagnosis.

PubMed

Rowe, Christopher C; Villemagne, Victor L

2013-05-01

In vivo imaging of amyloid-β (Aβ) with positron emission tomography has moved from the research arena into clinical practice. Clinicians working with cognitive decline and dementia must become familiar with its benefits and limitations. Amyloid imaging allows earlier diagnosis of Alzheimer disease and better differential diagnosis of dementia and provides prognostic information for mild cognitive impairment. It also has an increasingly important role in therapeutic trial recruitment and for evaluation of anti-Aβ treatments. Longitudinal observations are required to elucidate the role of Aβ deposition in the course of Alzheimer disease and provide information needed to fully use the prognostic power of this investigation. Copyright © 2013 Elsevier Inc. All rights reserved.

Diagnosis and Multimodality Management of Cushing's Disease: A Practical Review

PubMed Central

Zada, Gabriel

2013-01-01

Cushing's Disease is caused by oversecretion of ACTH from a pituitary adenoma and results in subsequent elevations of systemic cortisol, ultimately contributing to reduced patient survival. The diagnosis of Cushing's Disease frequently involves a stepwise approach including clinical, laboratory, neuroimaging, and sometimes interventional radiology techniques, often mandating multidisciplinary collaboration from numerous specialty practitioners. Pituitary microadenomas that do not appear on designated pituitary MRI or dynamic contrast protocols may pose a particularly challenging subset of this disease. The treatment of Cushing's Disease typically involves transsphenoidal surgical resection of the pituitary adenoma as a first-line option, yet may require the addition of adjunctive measures such as stereotactic radiosurgery or medical management to achieve normalization of serum cortisol levels. Vigilant long-term serial endocrine monitoring of patients is imperative in order to detect any recurrence that may occur, even years following initial remission. In this paper, a stepwise approach to the diagnosis, and various management strategies and associated outcomes in patients with Cushing's Disease are discussed. PMID:23401686

Chronic Chagas Disease Diagnosis: A Comparative Performance of Commercial Enzyme Immunoassay Tests

PubMed Central

Santos, Fred Luciano Neves; de Souza, Wayner Vieira; da Silva Barros, Michelle; Nakazawa, Mineo; Krieger, Marco Aurélio; de Miranda Gomes, Yara

2016-01-01

There is a significant heterogeneity in reported performance of serological assays for Chagas disease diagnosis. The conventional serology testing in laboratory diagnosis and in blood banks is unsatisfactory because of a high number of inconclusive and misclassified results. We aimed to assess the quality of four commercially available enzyme-linked immunosorbent assay tests for their ability to detect Trypanosoma cruzi antibodies in 685 sera samples. Cross-reactivity was assessed by using 748 sera from patients with unrelated diseases. Initially, we found that the reactivity index against T. cruzi antigen was statistically higher in sera from Chagas disease patients compared with those from non-chagasic patients, supporting the notion that all evaluated tests have a good discriminatory ability toward the diagnosis of T. cruzi infection in patients in the chronic phase of the disease. Although all tests were similarly sensitive for diagnosing T. cruzi infection, there were significant variations in terms of specificity and cross-reactivity among them. Indeed, we obtained divergent results when testing sera from patient with unrelated diseases, particularly leishmaniasis, with the levels of cross-reactivity being higher in tests using whole T. cruzi extracts compared with those using recombinant proteins. Our data suggest that all four tests may be used for the laboratory diagnosis and routine blood screening diagnose for Chagas disease. We also emphasize that, despite their general good performance, caution is needed when analyzing the results when these tests are performed in areas where other diseases, particularly leishmaniasis, are endemic. PMID:26976886

Current status of gastroesophageal reflux disease : diagnosis and treatment.

PubMed

Chuang, Tang-Wei; Chen, Shou-Chien; Chen, Kow-Tong

2017-01-01

The aim of this study was to explore the recent advances in diagnosis and treatment of gastroesophageal reflux disease (GERD). Previous studies were searched using the terms "gastroesophageal reflux disease" and "diagnosis" or "treatment" in Medline and Pubmed. Articles that were not published in the English language, manuscripts without an abstract, reviews, meta-analysis, and opinion articles were excluded from the review. After a preliminary screening, all of the articles were reviewed and synthesized to provide an overview of the contemporary approaches to GERD. GERD has a variety of symptomatic manifestations, which can be grouped into typical, atypical and extra-esophageal symptoms. Those with the highest specificity for GERD are acid regurgitation and heartburn. In the absence of other alarming symptoms, these symptoms allow one to make a presumptive diagnosis of GERD and initiate empiric therapy. GERD-associated complications include erosive esophagitis, peptic stricture, Barrett's esophagus, esophageal adenocarcinoma and pulmonary disease. Management of GERD may involve lifestyle modifications, medical and surgical therapy. Medical therapy involves acid suppression, which can be achieved with antacids, histamine-receptor antagonists or proton-pump inhibitors. Whereas most patients can be effectively managed with medical therapy, others may go on to require anti-reflux surgery after undergoing a proper pre-operative evaluation. The management of this disease requires a complex approach. Maintenance therapy of GERD after using anti-secretory drugs should be continuously monitored. © Acta Gastro-Enterologica Belgica.

Invasive prenatal diagnosis of fetal thalassemia.

PubMed

Li, Dong-Zhi; Yang, Yan-Dong

2017-02-01

Thalassemia is the most common monogenic inherited disease worldwide, affecting individuals originating from many countries to various extents. As the disease requires long-term care, prevention of the homozygous state presents a substantial global disease burden. The comprehensively preventive programs involve carrier detections, molecular diagnostics, genetic counseling, and prenatal diagnosis. Invasive prenatal diagnosis refers to obtaining fetal material by chorionic villus sampling (CVS) at the first trimester, and by amniocentesis or cordocentesis at the second trimester. Molecular diagnosis, which includes multiple techniques that are aimed at the detection of mutations in the α- or β-globin genes, facilitates prenatal diagnosis and definitive diagnosis of the fetus. These are valuable procedures for couples at risk, so that they can be offered options to have healthy offspring. According to local practices and legislation, genetic counseling should accompany the invasive diagnostic procedures, DNA testing, and disclosure of the results. The most critical issue in any type of prenatal molecular testing is maternal cell contamination (MCC), especially when a fetus is found to inherit a particular mutation from the mother. The best practice is to perform MCC studies on all prenatal samples. The recent successful studies of fetal DNA in maternal plasma may allow future prenatal testing that is non-invasive for the fetus and result in significant reduction of invasive diagnostic procedures. Copyright © 2016. Published by Elsevier Ltd.

Hybrid Disease Diagnosis Using Multiobjective Optimization with Evolutionary Parameter Optimization

PubMed Central

Nalluri, MadhuSudana Rao; K., Kannan; M., Manisha

2017-01-01

With the widespread adoption of e-Healthcare and telemedicine applications, accurate, intelligent disease diagnosis systems have been profoundly coveted. In recent years, numerous individual machine learning-based classifiers have been proposed and tested, and the fact that a single classifier cannot effectively classify and diagnose all diseases has been almost accorded with. This has seen a number of recent research attempts to arrive at a consensus using ensemble classification techniques. In this paper, a hybrid system is proposed to diagnose ailments using optimizing individual classifier parameters for two classifier techniques, namely, support vector machine (SVM) and multilayer perceptron (MLP) technique. We employ three recent evolutionary algorithms to optimize the parameters of the classifiers above, leading to six alternative hybrid disease diagnosis systems, also referred to as hybrid intelligent systems (HISs). Multiple objectives, namely, prediction accuracy, sensitivity, and specificity, have been considered to assess the efficacy of the proposed hybrid systems with existing ones. The proposed model is evaluated on 11 benchmark datasets, and the obtained results demonstrate that our proposed hybrid diagnosis systems perform better in terms of disease prediction accuracy, sensitivity, and specificity. Pertinent statistical tests were carried out to substantiate the efficacy of the obtained results. PMID:29065626

Norrie disease: first mutation report and prenatal diagnosis in an Indian family.

PubMed

Ghosh, Manju; Sharma, Shipra; Shastri, Shivaram; Arora, Sadhna; Shukla, Rashmi; Gupta, Neerja; Deka, Deepika; Kabra, Madhulika

2012-11-01

Norrie Disease (ND) is a rare X-linked recessive disorder characterised by congenital blindness due to severe retinal dysgenesis. Hearing loss and intellectual disability is present in 30-50 % cases. ND is caused by mutations in the NDP gene, located at Xp11.3. The authors describe mutation analysis of a proband with ND and subsequently prenatal diagnosis. Sequence analysis of the NDP gene revealed a hemizygous missense mutation arginine to serine in codon 41 (p.Arg41Ser) in the affected child. Mother was carrier for the mutation. In a subsequent di-chorionic di-amniotic pregnancy, the authors performed prenatal diagnosis by mutation analysis on chorionic villi sample at 11 wk of gestation. The fetuses were unaffected. This is a first mutation report and prenatal diagnosis of a familial case of Norrie disease from India. The importance of genetic testing of Norrie disease for confirmation, carrier testing, prenatal diagnosis and genetic counseling is emphasized.

An automated diagnosis system of liver disease using artificial immune and genetic algorithms.

PubMed

Liang, Chunlin; Peng, Lingxi

2013-04-01

The rise of health care cost is one of the world's most important problems. Disease prediction is also a vibrant research area. Researchers have approached this problem using various techniques such as support vector machine, artificial neural network, etc. This study typically exploits the immune system's characteristics of learning and memory to solve the problem of liver disease diagnosis. The proposed system applies a combination of two methods of artificial immune and genetic algorithm to diagnose the liver disease. The system architecture is based on artificial immune system. The learning procedure of system adopts genetic algorithm to interfere the evolution of antibody population. The experiments use two benchmark datasets in our study, which are acquired from the famous UCI machine learning repository. The obtained diagnosis accuracies are very promising with regard to the other diagnosis system in the literatures. These results suggest that this system may be a useful automatic diagnosis tool for liver disease.

The role of skin and muscle biopsy in the diagnosis of main connective tissue diseases.

PubMed

Firulescu, Sineta Cristina; Tudoraşcu, Diana Rodica; Pârvănescu, Cristina Dorina; Chisălău, Andreea Beatrice; Bastian, Alexandra Eugenia; Efrem, Ion Cristian; Bărbulescu, Andreea Lili; Forţofoiu, Mircea Cătălin; Criveanu, Cristina; Ionescu, Petronela; Dinescu, Ştefan Cristian; Tudorancea, Andreea Daniela; Ciurea, Paulina Lucia; Vreju, Ananu Florentin

2018-01-01

Systemic involvement in autoimmune diseases is often unclear and organ changes are confounding, thus making it difficult to have an early accurate diagnosis. In those situations, both clinical and paraclinical findings might orientate the diagnosis, but only histological or immunohistochemistry changes might be accurate enough. The skin histological changes are relevant and sometimes might have a tremendous role in the accurate diagnosis of autoimmune rheumatic diseases, due to the correlation with the clinical systemic manifestations of the diseases and through the accessibility of biopsy. In the same time, muscle biopsy can provide important support for physicians improving diagnosis and optimizing management of connective tissue diseases.

Magnetic Resonance Techniques Applied to the Diagnosis and Treatment of Parkinson’s Disease

PubMed Central

de Celis Alonso, Benito; Hidalgo-Tobón, Silvia S.; Menéndez-González, Manuel; Salas-Pacheco, José; Arias-Carrión, Oscar

2015-01-01

Parkinson’s disease (PD) affects at least 10 million people worldwide. It is a neurodegenerative disease, which is currently diagnosed by neurological examination. No neuroimaging investigation or blood biomarker is available to aid diagnosis and prognosis. Most effort toward diagnosis using magnetic resonance (MR) has been focused on the use of structural/anatomical neuroimaging and diffusion tensor imaging (DTI). However, deep brain stimulation, a current strategy for treating PD, is guided by MR imaging (MRI). For clinical prognosis, diagnosis, and follow-up investigations, blood oxygen level-dependent MRI, DTI, spectroscopy, and transcranial magnetic stimulation have been used. These techniques represent the state of the art in the last 5 years. Here, we focus on MR techniques for the diagnosis and treatment of Parkinson’s disease. PMID:26191037

Nano/microfluidics for diagnosis of infectious diseases in developing countries

PubMed Central

Lee, Won Gu; Kim, Yun-Gon; Chung, Bong Geun; Demirci, Utkan; Khademhosseini, Ali

2010-01-01

Nano/microfluidic technologies are emerging as powerful enabling tools for diagnosis and monitoring of infectious diseases in both developed and developing countries. Miniaturized nano/microfluidic platforms that precisely manipulate small fluid volumes can be used to enable medical diagnosis in a more rapid and accurate manner. In particular, these nano/microfluidic diagnostic technologies are potentially applicable to global health applications, because they are disposable, inexpensive, portable, and easy-to-use for detection of infectious diseases. In this paper, we review recent developments in nano/microfluidic technologies for clinical point-of-care applications at resource-limited settings in developing countries. PMID:19954755

Relevance of deep learning to facilitate the diagnosis of HER2 status in breast cancer

NASA Astrophysics Data System (ADS)

Vandenberghe, Michel E.; Scott, Marietta L. J.; Scorer, Paul W.; Söderberg, Magnus; Balcerzak, Denis; Barker, Craig

2017-04-01

Tissue biomarker scoring by pathologists is central to defining the appropriate therapy for patients with cancer. Yet, inter-pathologist variability in the interpretation of ambiguous cases can affect diagnostic accuracy. Modern artificial intelligence methods such as deep learning have the potential to supplement pathologist expertise to ensure constant diagnostic accuracy. We developed a computational approach based on deep learning that automatically scores HER2, a biomarker that defines patient eligibility for anti-HER2 targeted therapies in breast cancer. In a cohort of 71 breast tumour resection samples, automated scoring showed a concordance of 83% with a pathologist. The twelve discordant cases were then independently reviewed, leading to a modification of diagnosis from initial pathologist assessment for eight cases. Diagnostic discordance was found to be largely caused by perceptual differences in assessing HER2 expression due to high HER2 staining heterogeneity. This study provides evidence that deep learning aided diagnosis can facilitate clinical decision making in breast cancer by identifying cases at high risk of misdiagnosis.

Predictive models for ocular chronic graft-versus-host disease diagnosis and disease activity in transplant clinical practice.

PubMed

Curtis, Lauren M; Datiles, Manuel B; Steinberg, Seth M; Mitchell, Sandra A; Bishop, Rachel J; Cowen, Edward W; Mays, Jacqueline; McCarty, John M; Kuzmina, Zoya; Pirsl, Filip; Fowler, Daniel H; Gress, Ronald E; Pavletic, Steven Z

2015-09-01

Ocular chronic graft-versus-host disease is one of the most bothersome common complications following allogeneic hematopoietic stem cell transplantation. The National Institutes of Health Chronic Graft-versus-Host Disease Consensus Project provided expert recommendations for diagnosis and organ severity scoring. However, ocular chronic graft-versus-host disease can be diagnosed only after examination by an ophthalmologist. There are no currently accepted definitions of ocular chronic graft-versus-host disease activity. The goal of this study was to identify predictive models of diagnosis and activity for use in clinical transplant practice. A total of 210 patients with moderate or severe chronic graft-versus-host disease were enrolled in a prospective, cross-sectional, observational study (clinicaltrials.gov identifier: 00092235). Experienced ophthalmologists determined presence of ocular chronic graft-versus-host disease, diagnosis and activity. Measures gathered by the transplant clinician included Schirmer's tear test and National Institutes of Health 0-3 Eye Score. Patient-reported outcome measures were the ocular subscale of the Lee Chronic Graft-versus-Host Disease Symptom Scale and Chief Eye Symptom Intensity Score. Altogether, 157 (75%) patients were diagnosed with ocular chronic graft-versus-host disease; 133 of 157 patients (85%) had active disease. In a multivariable model, the National Institutes of Health Eye Score (P<0.0001) and Schirmer's tear test (P<0.0001) were independent predictors of ocular chronic graft-versus-host disease (sensitivity 93.0%, specificity 92.2%). The Lee ocular subscale was the strongest predictor of active ocular chronic graft-versus-host disease (P<0.0001) (sensitivity 68.5%, specificity 82.6%). Ophthalmology specialist measures that were most strongly predictive of diagnosis in a multivariate model were Oxford grand total staining (P<0.0001) and meibomian score (P=0.027). These results support the use of selected transplant

Predictive models for ocular chronic graft-versus-host disease diagnosis and disease activity in transplant clinical practice

PubMed Central

Curtis, Lauren M.; Datiles, Manuel B.; Steinberg, Seth M.; Mitchell, Sandra A.; Bishop, Rachel J.; Cowen, Edward W.; Mays, Jacqueline; McCarty, John M.; Kuzmina, Zoya; Pirsl, Filip; Fowler, Daniel H.; Gress, Ronald E.; Pavletic, Steven Z.

2015-01-01

Ocular chronic graft-versus-host disease is one of the most bothersome common complications following allogeneic hematopoietic stem cell transplantation. The National Institutes of Health Chronic Graft-versus-Host Disease Consensus Project provided expert recommendations for diagnosis and organ severity scoring. However, ocular chronic graft-versus-host disease can be diagnosed only after examination by an ophthalmologist. There are no currently accepted definitions of ocular chronic graft-versus-host disease activity. The goal of this study was to identify predictive models of diagnosis and activity for use in clinical transplant practice. A total of 210 patients with moderate or severe chronic graft-versus-host disease were enrolled in a prospective, cross-sectional, observational study (clinicaltrials.gov identifier: 00092235). Experienced ophthalmologists determined presence of ocular chronic graft-versus-host disease, diagnosis and activity. Measures gathered by the transplant clinician included Schirmer’s tear test and National Institutes of Health 0–3 Eye Score. Patient-reported outcome measures were the ocular subscale of the Lee Chronic Graft-versus-Host Disease Symptom Scale and Chief Eye Symptom Intensity Score. Altogether, 157 (75%) patients were diagnosed with ocular chronic graft-versus-host disease; 133 of 157 patients (85%) had active disease. In a multivariable model, the National Institutes of Health Eye Score (P<0.0001) and Schirmer’s tear test (P<0.0001) were independent predictors of ocular chronic graft-versus-host disease (sensitivity 93.0%, specificity 92.2%). The Lee ocular subscale was the strongest predictor of active ocular chronic graft-versus-host disease (P<0.0001) (sensitivity 68.5%, specificity 82.6%). Ophthalmology specialist measures that were most strongly predictive of diagnosis in a multivariate model were Oxford grand total staining (P<0.0001) and meibomian score (P=0.027). These results support the use of selected

Rare diseases, rare presentations: recognizing atypical inherited kidney disease phenotypes in the age of genomics.

PubMed

Ars, Elisabet; Torra, Roser

2017-10-01

A significant percentage of adults (10%) and children (20%) on renal replacement therapy have an inherited kidney disease (IKD). The new genomic era, ushered in by the next generation sequencing techniques, has contributed to the identification of new genes and facilitated the genetic diagnosis of the highly heterogeneous IKDs. Consequently, it has also allowed the reclassification of diseases and has broadened the phenotypic spectrum of many classical IKDs. Various genetic, epigenetic and environmental factors may explain 'atypical' phenotypes. In this article, we examine different mechanisms that may contribute to phenotypic variability and also provide case examples that illustrate them. The aim of the article is to raise awareness, among nephrologists and geneticists, of rare presentations that IKDs may show, to facilitate diagnosis.

Chronic Lyme Disease and Co-infections: Differential Diagnosis

PubMed Central

Berghoff, Walter

2012-01-01

In Lyme disease concurrent infections frequently occur. The clinical and pathological impact of co-infections was first recognized in the 1990th, i.e. approximately ten years after the discovery of Lyme disease. Their pathological synergism can exacerbate Lyme disease or induce similar disease manifestations. Co-infecting agents can be transmitted together with Borrelia burgdorferi by tick bite resulting in multiple infections but a fraction of co-infections occur independently of tick bite. Clinically relevant co-infections are caused by Bartonella species, Yersinia enterocolitica, Chlamydophila pneumoniae, Chlamydia trachomatis, and Mycoplasma pneumoniae. In contrast to the USA, human granulocytic anaplasmosis (HGA) and babesiosis are not of major importance in Europe. Infections caused by these pathogens in patients not infected by Borrelia burgdorferi can result in clinical symptoms similar to those occurring in Lyme disease. This applies particularly to infections caused by Bartonella henselae, Yersinia enterocolitica, and Mycoplasma pneumoniae. Chlamydia trachomatis primarily causes polyarthritis. Chlamydophila pneumoniae not only causes arthritis but also affects the nervous system and the heart, which renders the differential diagnosis difficult. The diagnosis is even more complex when co-infections occur in association with Lyme disease. Treatment recommendations are based on individual expert opinions. In antibiotic therapy, the use of third generation cephalosporins should only be considered in cases of Lyme disease. The same applies to carbapenems, which however are used occasionally in infections caused by Yersinia enterocolitica. For the remaining infections predominantly tetracyclines and macrolides are used. Quinolones are for alternative treatment, particularly gemifloxacin. For Bartonella henselae, Chlamydia trachomatis, and Chlamydophila pneumoniae the combination with rifampicin is recommended. Erythromycin is the drug of choice for

Accuracy and Reliability of Eye-Based vs Quadrant-Based Diagnosis of Plus Disease in Retinopathy of Prematurity.

PubMed

Kim, Sang Jin; Campbell, J Peter; Kalpathy-Cramer, Jayashree; Ostmo, Susan; Jonas, Karyn E; Choi, Dongseok; Chan, R V Paul; Chiang, Michael F

2018-06-01

Presence of plus disease in retinopathy of prematurity is the most critical element in identifying treatment-requiring disease. However, there is significant variability in plus disease diagnosis. In particular, plus disease has been defined as 2 or more quadrants of vascular abnormality, and it is not clear whether it is more reliably and accurately diagnosed by eye-based assessment of overall retinal appearance or by quadrant-based assessment combining grades of 4 individual quadrants. To compare eye-based vs quadrant-based diagnosis of plus disease and to provide insight for ophthalmologists about the diagnostic process. In this multicenter cohort study, we developed a database of 197 wide-angle retinal images from 141 preterm infants from neonatal intensive care units at 9 academic institutions (enrolled from July 2011 to December 2016). Each image was assigned a reference standard diagnosis based on consensus image-based and clinical diagnosis. Data analysis was performed from February 2017 to September 2017. Six graders independently diagnosed each of the 4 quadrants (cropped images) of the 197 eyes (quadrant-based diagnosis) as well as the entire image (eye-based diagnosis). Images were displayed individually, in random order. Quadrant-based diagnosis of plus disease was made when 2 or more quadrants were diagnosed as indicating plus disease by combining grades of individual quadrants post hoc. Intragrader and intergrader reliability (absolute agreement and κ statistic) and accuracy compared with the reference standard diagnosis. Of the 141 included preterm infants, 65 (46.1%) were female and 116 (82.3%) white, and the mean (SD) gestational age was 27.0 (2.6) weeks. There was variable agreement between eye-based and quadrant-based diagnosis among the 6 graders (Cohen κ range, 0.32-0.75). Four graders showed underdiagnosis of plus disease with quadrant-based diagnosis compared with eye-based diagnosis (by McNemar test). Intergrader agreement of quadrant

Diagnosis and treatment of dementia: 6. Management of severe Alzheimer disease

PubMed Central

Herrmann, Nathan; Gauthier, Serge

2008-01-01

Background The management of severe Alzheimer disease often presents difficult choices for clinicians and families. The disease is characterized by a need for full-time care and assistance with basic activities of daily living. We outline an evidence-based approach for these choices based on recommendations from the Third Canadian Consensus Conference on the Diagnosis and Treatment of Dementia. Methods We developed evidence-based guidelines using systematic literature searches, with specific criteria for the selection and quality assessment of articles, and a clear and transparent decision-making process. We selected articles published from January 1996 to December 2005 that dealt with the management of severe Alzheimer disease. Subsequent to the conference, we searched for additional articles published from January 2006 to March 2008 using the same search terms. We graded the strength of the evidence using the criteria of the Canadian Task Force on Preventive Health Care. Results We identified 940 articles, of which 838 were selected for further study. Thirty-four articles were judged to be of at least good or fair quality and were used to generate 17 recommendations. Assessment of severe Alzheimer disease should include the measurement of cognitive function and the assessment of behaviour, function, medical status, nutrition, safety and caregiver status. Management could include treatment with a cholinesterase inhibitor or memantine, or both. Treatment of neuropsychiatric symptoms begins with nonpharmacologic approaches to addressing behavioural problems. Severe agitation, aggression and psychosis, which are potentially dangerous to the patient, the caregiver and others in the environment, can be treated with atypical antipsychotics, with consideration of their increased risk of cerebrovascular events and death. All pharmacologic approaches require careful monitoring and periodic reassessment to determine whether continued treatment is necessary. Caregiver

The Role of Clinical Proteomics, Lipidomics, and Genomics in the Diagnosis of Alzheimer's Disease.

PubMed

Martins, Ian James

2016-03-31

The early diagnosis of Alzheimer's disease (AD) has become important to the reversal and treatment of neurodegeneration, which may be relevant to premature brain aging that is associated with chronic disease progression. Clinical proteomics allows the detection of various proteins in fluids such as the urine, plasma, and cerebrospinal fluid for the diagnosis of AD. Interest in lipidomics has accelerated with plasma testing for various lipid biomarkers that may with clinical proteomics provide a more reproducible diagnosis for early brain aging that is connected to other chronic diseases. The combination of proteomics with lipidomics may decrease the biological variability between studies and provide reproducible results that detect a community's susceptibility to AD. The diagnosis of chronic disease associated with AD that now involves genomics may provide increased sensitivity to avoid inadvertent errors related to plasma versus cerebrospinal fluid testing by proteomics and lipidomics that identify new disease biomarkers in body fluids, cells, and tissues. The diagnosis of AD by various plasma biomarkers with clinical proteomics may now require the involvement of lipidomics and genomics to provide interpretation of proteomic results from various laboratories around the world.

Survey on diagnosis of diseases from retinal images

NASA Astrophysics Data System (ADS)

Das, Sneha; Malathy, C.

2018-04-01

Retina is a thin membranous layer of tissue that occupies at the back of the eye which provides central vision needed for daily routines. Identifying retinal diseases at the early stage is a challenging task since healthy retina is required for central vision. Several retinal diseases affect the eye such as retinal tear, retinal detachment, glaucoma, macular hole and macular degeneration etc. These maladies will encounter a secondary growth in the close future as the age of the person increases. A survey is made which tells about the diagnosis of the retinal diseases from the retinal images using machine learning techniques.

A critical appraisal of advances in the diagnosis of diverticular disease.

PubMed

Tursi, Antonio

2018-06-19

Diverticulosis of the colon is a common condition, and about one-fourth of those people develop symptoms, which is called 'diverticular disease' (DD). Since there are still some concerns about the diagnosis of DD, the aim of this review was to analyze current and evolving advances in its diagnosis. Area covered: Analysis of clinical, radiology, laboratory, and endoscopic tools to pose a correct diagnosis of DD was performed according to current PubMed literature. Expert commentary: A combination of clinical characteristic of the abdominal pain and fecal calprotectin expression may help to differentiate between symptomatic uncomplicated diverticular disease and irritable bowel syndrome. Abdominal computerized tomography (CT) scan is still the gold standard in diagnosing acute diverticulitis and its complications. CT-colonography may be useful as a predicting tool on the outcome of the disease. Diverticular Inflammation and Complications Assessment (DICA) endoscopic classification shows a significant relationship between severity of DICA score inflammatory indexes, as well as with severity of abdominal pain. Moreover, it seems to be predictive of the outcome of the disease in terms of acute diverticulitis occurrence/recurrence and surgery occurrence. Finally, preliminary data found intestinal microbiota analysis is a promising tool in diagnosing and monitoring this disease.

Automated system for periodontal disease diagnosis

NASA Astrophysics Data System (ADS)

Albalat, Salvador E.; Alcaniz-Raya, Mariano L.; Juan, M. Carmen; Grau Colomer, Vincente; Monserrat, Carlos

1997-04-01

Evolution of periodontal disease is one of the most important data for the clinicians in order to achieve correct planning and treatment. Clinical measure of the periodontal sulcus depth is the most important datum to know the exact state of periodontal disease. These measures must be done periodically study bone resorption evolution around teeth. Time factor of resorption indicates aggressiveness of periodontitis. Manual probes are commonly used with direct reading. Mechanical probes give automatic signal but this method uses complicated and heavy probes that are only limited for University researchers. Probe position must be the same to have right diagnosis. Digital image analysis of periodontal probing provides practical, accurate and easy tool. Gum and plaque index could also be digitally measured with this method.

Symptoms, Diagnosis and Treatment | Alzheimer's disease | NIH MedlinePlus the Magazine

MedlinePlus

... of this page please turn Javascript on. Feature: Alzheimer's Disease Symptoms, Diagnosis and Treatment Past Issues / Fall ... 10 to 20 years before symptoms appear and Alzheimer's disease is diagnosed. Mild Alzheimer's dementia Memory problems ...

Addison disease in adults: diagnosis and management.

PubMed

Chakera, Ali J; Vaidya, Bijay

2010-05-01

Addison disease is a rare but potentially fatal disorder of the adrenal glands. Its manifestations are often confused with many common disorders, and a high index of suspicion is required for the diagnosis. Optimum steroid replacement and patient education are vital for good quality of life and to prevent acute adrenal crisis in this condition. Copyright 2010 Elsevier Inc. All rights reserved.

When do patients with Parkinson disease disclose their diagnosis?

PubMed

Haines, S; Chen, H; Anderson, K E; Fishman, P S; Shulman, L M; Weiner, W J; Reich, S G

2006-08-08

The authors surveyed 101 patients with Parkinson disease (PD) about their experiences disclosing the diagnosis. Ninety percent disclosed early to family; more than 25% waited at least 1 year to disclose at work. The main concerns about disclosure were fear of reflecting negatively on themselves and fear of upsetting others. Patients who delayed disclosure were more likely male, younger, and employed. There is considerable variability among patients with PD in the time to disclose their diagnosis.

Medical audit of rectal biopsy diagnosis of inflammatory bowel disease.

PubMed

Frei, J V; Morson, B C

1982-03-01

The records of the rectal biopsy diagnoses of ulcerative colitis and Crohn's disease in the Department of Pathology, St Mark's Hospital, London, were reviewed. The biopsy diagnoses were compared to subsequent resection diagnoses on the same patients, and annual and seasonal variations in the frequency of these and related diagnoses were studied. The accuracy rate for the biopsy diagnosis of ulcerative colitis was about 70% and for Crohn's disease about 40% each time a biopsy was read. The low figure for the accuracy rate for Crohn's disease could be attributed to sampling error inherent in the diagnosis of a disease which is essentially patchy, showing discontinuous pathology. Also, many patients with Crohn's disease have a normal rectum which is biopsied to demonstrate the distinction from ulcerative colitis. In practical terms therefore a 40% accuracy rate in Crohn's disease is probably adequate. The rate of "false-positive" diagnoses was about 5%. There was a seasonal variation in the frequency of these two diagnoses, but no variation attributable to changes in observers, as pathology trainees in the Department change regularly. The frequency of diagnoses of non-specific inflammation and of normal colon did show such non-random variations.

Artificial intelligence in diagnosis of obstructive lung disease: current status and future potential.

PubMed

Das, Nilakash; Topalovic, Marko; Janssens, Wim

2018-03-01

The application of artificial intelligence in the diagnosis of obstructive lung diseases is an exciting phenomenon. Artificial intelligence algorithms work by finding patterns in data obtained from diagnostic tests, which can be used to predict clinical outcomes or to detect obstructive phenotypes. The purpose of this review is to describe the latest trends and to discuss the future potential of artificial intelligence in the diagnosis of obstructive lung diseases. Machine learning has been successfully used in automated interpretation of pulmonary function tests for differential diagnosis of obstructive lung diseases. Deep learning models such as convolutional neural network are state-of-the art for obstructive pattern recognition in computed tomography. Machine learning has also been applied in other diagnostic approaches such as forced oscillation test, breath analysis, lung sound analysis and telemedicine with promising results in small-scale studies. Overall, the application of artificial intelligence has produced encouraging results in the diagnosis of obstructive lung diseases. However, large-scale studies are still required to validate current findings and to boost its adoption by the medical community.

Integrated Knowledge Based Expert System for Disease Diagnosis System

NASA Astrophysics Data System (ADS)

Arbaiy, Nureize; Sulaiman, Shafiza Eliza; Hassan, Norlida; Afizah Afip, Zehan

2017-08-01

The role and importance of healthcare systems to improve quality of life and social welfare in a society have been well recognized. Attention should be given to raise awareness and implementing appropriate measures to improve health care. Therefore, a computer based system is developed to serve as an alternative for people to self-diagnose their health status based on given symptoms. This strategy should be emphasized so that people can utilize the information correctly as a reference to enjoy healthier life. Hence, a Web-based Community Center for Healthcare Diagnosis system is developed based on expert system technique. Expert system reasoning technique is employed in the system to enable information about treatment and prevention of the diseases based on given symptoms. At present, three diseases are included which are arthritis, thalassemia and pneumococcal. Sets of rule and fact are managed in the knowledge based system. Web based technology is used as a platform to disseminate the information to users in order for them to optimize the information appropriately. This system will benefit people who wish to increase health awareness and seek expert knowledge on the diseases by performing self-diagnosis for early disease detection.

European evidence based consensus on the diagnosis and management of Crohn's disease: special situations

PubMed Central

Caprilli, R; Gassull, M A; Escher, J C; Moser, G; Munkholm, P; Forbes, A; Hommes, D W; Lochs, H; Angelucci, E; Cocco, A; Vucelic, B; Hildebrand, H; Kolacek, S; Riis, L; Lukas, M; de Franchis, R; Hamilton, M; Jantschek, G; Michetti, P; O'Morain, C; Anwar, M M; Freitas, J L; Mouzas, I A; Baert, F; Mitchell, R; Hawkey, C J

2006-01-01

This third section of the European Crohn's and Colitis Organisation (ECCO) Consensus on the management of Crohn's disease concerns postoperative recurrence, fistulating disease, paediatrics, pregnancy, psychosomatics, extraintestinal manifestations, and alternative therapy. The first section on definitions and diagnosis reports on the aims and methods of the consensus, as well as sections on diagnosis, pathology, and classification of Crohn's disease. The second section on current management addresses treatment of active disease, maintenance of medically induced remission, and surgery of Crohn's disease. PMID:16481630

[Biological markers in the diagnosis of dementia and Alzheimer's disease].

PubMed

Meiner, Zeev; Rosenmann, Hanna

2012-05-01

Alzheimer's disease is the leading cause of dementia in advanced age with a prevalence of above 40% among persons 80 years or older. In recent years, new studies have made some important discoveries regarding the pathogenesis of the diseases and potential therapeutic measures. These developments have led to the announcement of new guidelines for the diagnosis of the disease published by the National Institute on Aging and the ALzheimer's Association. These guidelines expand the definition of ALzheimer's disease to include 2 new phases of the disease: pre-symptomatic and mildly symptomatic but pre-dementia. For the first time, the guidelines also incorporated the usage of biological markers to assist in the diagnosis of the disease, although they are still only in the research agenda. These biomarkers include atrophy of the medial temporal lobe by MRI, reduction of glucose metabolism in specific brain areas by PET-FDG and presence of beta-amyloid staining in the brain by PET-amyloid scan. In addition, there are also cerebrospinal fluid ICSF) biomarkers characteristic of Alzheimer's disease, which consist of low levels of Abeta42 and elevated levels of total and phosphorylated TAU. These biomarkers may be used to diagnose the disease in the early pre-symptomatic phase, to differentiate Alzheimer's disease from other causes of dementia and may be helpful in the follow-up of newly developed specific treatments.

LSTM for diagnosis of neurodegenerative diseases using gait data

NASA Astrophysics Data System (ADS)

Zhao, Aite; Qi, Lin; Li, Jie; Dong, Junyu; Yu, Hui

2018-04-01

Neurodegenerative diseases (NDs) usually cause gait disorders and postural disorders, which provides an important basis for NDs diagnosis. By observing and analyzing these clinical manifestations, medical specialists finally give diagnostic results to the patient, which is inefficient and can be easily affected by doctors' subjectivity. In this paper, we propose a two-layer Long Short-Term Memory (LSTM) model to learn the gait patterns exhibited in the three NDs. The model was trained and tested using temporal data that was recorded by force-sensitive resistors including time series, such as stride interval and swing interval. Our proposed method outperforms other methods in literature in accordance with accuracy of the predicted diagnostic result. Our approach aims at providing the quantitative assessment so that to indicate the diagnosis and treatment of these neurodegenerative diseases in clinic

Magnetic resonance imaging for diagnosis of early Alzheimer's disease.

PubMed

Colliot, O; Hamelin, L; Sarazin, M

2013-10-01

A major challenge for neuroimaging is to contribute to the early diagnosis of Alzheimer's disease (AD). In particular, magnetic resonance imaging (MRI) allows detecting different types of structural and functional abnormalities at an early stage of the disease. Anatomical MRI is the most widely used technique and provides local and global measures of atrophy. The recent diagnostic criteria of "mild cognitive impairment due to AD" include hippocampal atrophy, which is considered a marker of neuronal injury. Advanced image analysis techniques generate automatic and reproducible measures both in the hippocampus and throughout the whole brain. Recent modalities such as diffusion-tensor imaging and resting-state functional MRI provide additional measures that could contribute to the early diagnosis but require further validation. Copyright © 2013 Elsevier Masson SAS. All rights reserved.

Case for diagnosis. Riga-Fede disease.

PubMed

Calistru, Ana Maria; Lisboa, Carmen; Bettencourt, Herberto; Azevedo, Filomena

2012-01-01

Riga-Fede disease is a rare, benign disorder characterized by reactive ulceration of the oral mucosa associated with repetitive dental traumatism. It was first described in children with neurologic disorders and is very rare in adults. This case report describes the occurrence of a large ulcer of the tongue, resembling squamous cell carcinoma, in an adult with hemiparesis. The lesion cleared after neurologic recovery. This case highlights the importance of considering this disorder in the differential diagnosis of oral mucosal ulcerations.

Flow cytometry of duodenal intraepithelial lymphocytes improves diagnosis of celiac disease in difficult cases.

PubMed

Valle, Julio; Morgado, José Mario T; Ruiz-Martín, Juan; Guardiola, Antonio; Lopes-Nogueras, Miriam; García-Vela, Almudena; Martín-Sacristán, Beatriz; Sánchez-Muñoz, Laura

2017-10-01

Diagnosis of celiac disease is difficult when the combined results of serology and histology are inconclusive. Studies using flow cytometry of intraepithelial lymphocytes (IELs) have found that celiac patients have increased numbers of γδ IELs, along with a decrease in CD3-CD103 + IELs. The objective of this article is to assess the role of flow cytometric analysis of IELs in the diagnosis of celiac disease in difficult cases. A total of 312 patients with suspicion of celiac disease were included in the study. Duodenal biopsy samples were used for histological assessment and for flow cytometric analysis of IELs. In 46 out of 312 cases (14.7%) the combination of serology and histology did not allow the confirmation or exclusion of celiac disease. HLA typing had been performed in 42 of these difficult cases. Taking into account HLA typing and the response to a gluten-free diet, celiac disease was excluded in 30 of these cases and confirmed in the remaining 12. Flow cytometric analysis of IELs allowed a correct diagnosis in 39 out of 42 difficult cases (92.8%) and had a sensitivity of 91.7% (95% CI: 61.5% to 99.8%) and a specificity of 93.3% (95% CI: 77.9% to 99.2%) for the diagnosis of celiac disease in this setting. Flow cytometric analysis of IELs is useful for the diagnosis of celiac disease in difficult cases.

Flow cytometry of duodenal intraepithelial lymphocytes improves diagnosis of celiac disease in difficult cases

PubMed Central

Morgado, José Mario T; Ruiz-Martín, Juan; Guardiola, Antonio; Lopes-Nogueras, Miriam; García-Vela, Almudena; Martín-Sacristán, Beatriz; Sánchez-Muñoz, Laura

2016-01-01

Background Diagnosis of celiac disease is difficult when the combined results of serology and histology are inconclusive. Studies using flow cytometry of intraepithelial lymphocytes (IELs) have found that celiac patients have increased numbers of γδ IELs, along with a decrease in CD3-CD103 + IELs. Objective The objective of this article is to assess the role of flow cytometric analysis of IELs in the diagnosis of celiac disease in difficult cases. Methods A total of 312 patients with suspicion of celiac disease were included in the study. Duodenal biopsy samples were used for histological assessment and for flow cytometric analysis of IELs. Results In 46 out of 312 cases (14.7%) the combination of serology and histology did not allow the confirmation or exclusion of celiac disease. HLA typing had been performed in 42 of these difficult cases. Taking into account HLA typing and the response to a gluten-free diet, celiac disease was excluded in 30 of these cases and confirmed in the remaining 12. Flow cytometric analysis of IELs allowed a correct diagnosis in 39 out of 42 difficult cases (92.8%) and had a sensitivity of 91.7% (95% CI: 61.5% to 99.8%) and a specificity of 93.3% (95% CI: 77.9% to 99.2%) for the diagnosis of celiac disease in this setting. Conclusion Flow cytometric analysis of IELs is useful for the diagnosis of celiac disease in difficult cases. PMID:29026596

Raman Spectroscopy: An Emerging Tool in Neurodegenerative Disease Research and Diagnosis.

PubMed

Devitt, George; Howard, Kelly; Mudher, Amrit; Mahajan, Sumeet

2018-03-21

The pathogenesis underlining many neurodegenerative diseases remains incompletely understood. The lack of effective biomarkers and disease preventative medicine demands the development of new techniques to efficiently probe the mechanisms of disease and to detect early biomarkers predictive of disease onset. Raman spectroscopy is an established technique that allows the label-free fingerprinting and imaging of molecules based on their chemical constitution and structure. While analysis of isolated biological molecules has been widespread in the chemical community, applications of Raman spectroscopy to study clinically relevant biological species, disease pathogenesis, and diagnosis have been rapidly increasing since the past decade. The growing number of biomedical applications has shown the potential of Raman spectroscopy for detection of novel biomarkers that could enable the rapid and accurate screening of disease susceptibility and onset. Here we provide an overview of Raman spectroscopy and related techniques and their application to neurodegenerative diseases. We further discuss their potential utility in research, biomarker detection, and diagnosis. Challenges to routine use of Raman spectroscopy in the context of neuroscience research are also presented.

Parkinson's Disease: New Research Offers Hope for Better Diagnosis and Treatments

MedlinePlus

... of this page please turn JavaScript on. Feature: Parkinson's Disease New Research Offers Hope for Better Diagnosis and ... As many as one million Americans live with Parkinson's disease (PD), which is more than the combined number ...

Differential diagnosis in inflammatory bowel disease colitis: State of the art and future perspectives

PubMed Central

Tontini, Gian Eugenio; Vecchi, Maurizio; Pastorelli, Luca; Neurath, Markus F; Neumann, Helmut

2015-01-01

Distinction between Crohn’s disease of the colon-rectum and ulcerative colitis or inflammatory bowel disease (IBD) type unclassified can be of pivotal importance for a tailored clinical management, as each entity often involves specific therapeutic strategies and prognosis. Nonetheless, no gold standard is available and the uncertainty of diagnosis may frequently lead to misclassification or repeated examinations. Hence, we have performed a literature search to address the problem of differential diagnosis in IBD colitis, revised current and emerging diagnostic tools and refined disease classification strategies. Nowadays, the differential diagnosis is an untangled issue, and the proper diagnosis cannot be reached in up to 10% of patients presenting with IBD colitis. This topic is receiving emerging attention, as medical therapies, surgical approaches and leading prognostic outcomes require more and more disease-specific strategies in IBD patients. The optimization of standard diagnostic approaches based on clinical features, biomarkers, radiology, endoscopy and histopathology appears to provide only marginal benefits. Conversely, emerging diagnostic techniques in the field of gastrointestinal endoscopy, molecular pathology, genetics, epigenetics, metabolomics and proteomics have already shown promising results. Novel advanced endoscopic imaging techniques and biomarkers can shed new light for the differential diagnosis of IBD, better reflecting diverse disease behaviors based on specific pathogenic pathways. PMID:25574078

Rapid Whole-Genome Sequencing for Genetic Disease Diagnosis in Neonatal Intensive Care Units

PubMed Central

Saunders, Carol Jean; Miller, Neil Andrew; Soden, Sarah Elizabeth; Dinwiddie, Darrell Lee; Noll, Aaron; Alnadi, Noor Abu; Andraws, Nevene; Patterson, Melanie LeAnn; Krivohlavek, Lisa Ann; Fellis, Joel; Humphray, Sean; Saffrey, Peter; Kingsbury, Zoya; Weir, Jacqueline Claire; Betley, Jason; Grocock, Russell James; Margulies, Elliott Harrison; Farrow, Emily Gwendolyn; Artman, Michael; Safina, Nicole Pauline; Petrikin, Joshua Erin; Hall, Kevin Peter; Kingsmore, Stephen Francis

2014-01-01

Monogenic diseases are frequent causes of neonatal morbidity and mortality, and disease presentations are often undifferentiated at birth. More than 3500 monogenic diseases have been characterized, but clinical testing is available for only some of them and many feature clinical and genetic heterogeneity. Hence, an immense unmet need exists for improved molecular diagnosis in infants. Because disease progression is extremely rapid, albeit heterogeneous, in newborns, molecular diagnoses must occur quickly to be relevant for clinical decision-making. We describe 50-hour differential diagnosis of genetic disorders by whole-genome sequencing (WGS) that features automated bioinformatic analysis and is intended to be a prototype for use in neonatal intensive care units. Retrospective 50-hour WGS identified known molecular diagnoses in two children. Prospective WGS disclosed potential molecular diagnosis of a severe GJB2-related skin disease in one neonate; BRAT1-related lethal neonatal rigidity and multifocal seizure syndrome in another infant; identified BCL9L as a novel, recessive visceral heterotaxy gene (HTX6) in a pedigree; and ruled out known candidate genes in one infant. Sequencing of parents or affected siblings expedited the identification of disease genes in prospective cases. Thus, rapid WGS can potentially broaden and foreshorten differential diagnosis, resulting in fewer empirical treatments and faster progression to genetic and prognostic counseling. PMID:23035047

Laboratory Diagnosis of Lyme Disease - Advances and Challenges

PubMed Central

Marques, Adriana R.

2015-01-01

Synopsis Lyme disease is the most common tick-borne illness in the United States and Europe. Culture for B. burgdorferi is not routinely available. PCR can be helpful in synovial fluid of patients with Lyme arthritis. The majority of laboratory tests performed for the diagnosis of Lyme disease are based on detection of the antibody responses against B. burgdorferi in serum. The sensitivity of antibody-based tests increases with the duration of the infection, and patients who present very early in their illness are more likely to have a negative result. Patients with erythema migrans should receive treatment based on the clinical diagnosis. The current Centers for Disease Control and Prevention recommendations for serodiagnosis of Lyme disease is a 2-tiered algorithm, an initial enzyme immunoassay (EIA) followed by separate IgM and IgG Western blots if the first EIA test result is positive or borderline. The IgM result is only relevant for patients with illness duration of less than a month. While the 2-tier algorithm works well for later stages of the infection, it has low sensitivity during early infection. A major advance has been the discovery of VlsE and its C6 peptide as markers of antibody response in Lyme disease. Specificity is extremely important in Lyme disease testing, as the majority of tests are being performed in situations with low likelihood of the disease, a situation where a positive result is more likely to be a false positive. Current assays do not distinguish between active and inactive infection, and patients may continue to be seropositive for years. There is a need to simplify the testing algorithm for Lyme disease, improving sensitivity in early disease while still maintaining high specificity and providing information about the stage of infection. The development of a point of care assay and biomarkers for active infection would be major advances for the field. PMID:25999225

Brain MRI analysis for Alzheimer's disease diagnosis using an ensemble system of deep convolutional neural networks.

PubMed

Islam, Jyoti; Zhang, Yanqing

2018-05-31

Alzheimer's disease is an incurable, progressive neurological brain disorder. Earlier detection of Alzheimer's disease can help with proper treatment and prevent brain tissue damage. Several statistical and machine learning models have been exploited by researchers for Alzheimer's disease diagnosis. Analyzing magnetic resonance imaging (MRI) is a common practice for Alzheimer's disease diagnosis in clinical research. Detection of Alzheimer's disease is exacting due to the similarity in Alzheimer's disease MRI data and standard healthy MRI data of older people. Recently, advanced deep learning techniques have successfully demonstrated human-level performance in numerous fields including medical image analysis. We propose a deep convolutional neural network for Alzheimer's disease diagnosis using brain MRI data analysis. While most of the existing approaches perform binary classification, our model can identify different stages of Alzheimer's disease and obtains superior performance for early-stage diagnosis. We conducted ample experiments to demonstrate that our proposed model outperformed comparative baselines on the Open Access Series of Imaging Studies dataset.

Barriers and facilitators to disease-modifying antirheumatic drug use in patients with inflammatory rheumatic diseases: a qualitative theory-based study.

PubMed

Voshaar, Marieke; Vriezekolk, Johanna; van Dulmen, Sandra; van den Bemt, Bart; van de Laar, Mart

2016-10-21

Although disease-modifying anti-rheumatic drugs (DMARDs) are the cornerstone of treatment for inflammatory rheumatic diseases, medication adherence to DMARDs is often suboptimal. Effective interventions to improve adherence to DMARDs are lacking, and new targets are needed to improve adherence. The aim of the present study was to explore patients' barriers and facilitators of optimal DMARD use. These factors might be used as targets for adherence interventions. In a mixed method study design, patients (n = 120) with inflammatory arthritis (IA) completed a questionnaire based on an existing adapted Theoretical Domains Framework (TDF) to identify facilitators and barriers of DMARD use. A subgroup of these patients (n = 21) participated in focus groups to provide insights into their facilitators and barriers. The answers to the questionnaires and responses of the focus groups were thematically coded by three researchers independently and subsequently categorized. The barriers and facilitators that were reported by IA patients presented large inter-individual variations. The identified barriers and facilitators could be captured in the following domains based on an adapted TDF: (i) knowledge, (ii) emotions, (iii) attention, memory, and decision processes, (iv) social influences, (v) beliefs about capability, (vi) beliefs about consequences, (vii) motivation and goals, (viii) goal conflict, (ix) environmental context and resources, and (x) skills. Patients with IA have a variety of barriers and facilitators with regard to their DMARD use. All of these barriers and facilitators could be categorized into adapted domains of the TDF. Interventions that address individual facilitators and barriers, based on capability, opportunity, and motivation, are needed to develop strategies for medication adherence that are tailored to individual patient needs.

[Colonic diverticular disease: diagnosis and therapy].

PubMed

Lakatos, László; Lakatos, Péter László

2012-02-12

Colonic diverticular disease is one of the most common gastrointestinal disorders in the Western world, affecting approximately 50% of the population above the age of 70 years. Symptoms develop only in about one quarter of the affected individuals with complications in one-third of the symptomatic patients. Diagnosis is mostly confirmed by colonoscopy. Abdominal CT is the most sensitive for the diagnosis of complicated severe diverticulitis, while colonoscopy or in severe cases angiography may be performed in bleeding patients. Initial therapy of non-complicated symptomatic diverticulitis includes antibiotics and more recently non-absorbable antibiotics. In complicated cases should be treated with broad spectrum i.v. antibiotics, however surgery may became necessary in a minority of the cases. The proportion of patients needing acute surgical intervention has decreased in the last decades with the advancement of conservative management including medical therapy, endoscopy and imaging techniques and the indication of elective was also changed.

Gestational Trophoblastic Disease: A Multimodality Imaging Approach with Impact on Diagnosis and Management

PubMed Central

Ramani, Subhash; Thakur, Meenkashi

2014-01-01

Gestational trophoblastic disease is a condition of uncertain etiology, comprised of hydatiform mole (complete and partial), invasive mole, choriocarcinoma, and placental site trophoblastic tumor. It arises from abnormal proliferation of trophoblastic tissue. Early diagnosis of gestational trophoblastic disease and its potential complications is important for timely and successful management of the condition with preservation of fertility. Initial diagnosis is based on a multimodality approach: encompassing clinical features, serial quantitative β-hCG titers, and pelvic ultrasonography. Pelvic magnetic resonance imaging (MRI) is sometimes used as a problem-solving tool to assess the depth of myometrial invasion and extrauterine disease spread in equivocal and complicated cases. Chest radiography, body computed tomography (CT), and brain MRI have been recommended as investigative tools for overall disease staging. Angiography has a role in management of disease complications and metastases. Efficacy of PET (positron emission tomography) and PET/CT in the evaluation of recurrent or metastatic disease has not been adequately investigated yet. This paper discusses the imaging features of gestational trophoblastic disease on various imaging modalities and the role of different imaging techniques in the diagnosis and management of this entity. PMID:25126425

Iron deficiency across chronic inflammatory conditions: International expert opinion on definition, diagnosis, and management

PubMed Central

Comin‐Colet, Josep; de Francisco, Angel; Dignass, Axel; Doehner, Wolfram; S. P. Lam, Carolyn; Macdougall, Iain C.; Rogler, Gerhard; Camaschella, Clara; Kadir, Rezan; Kassebaum, Nicholas J.; Spahn, Donat R.; Taher, Ali T.; Musallam, Khaled M.

2017-01-01

Abstract Iron deficiency, even in the absence of anemia, can be debilitating, and exacerbate any underlying chronic disease, leading to increased morbidity and mortality. Iron deficiency is frequently concomitant with chronic inflammatory disease; however, iron deficiency treatment is often overlooked, partially due to the heterogeneity among clinical practice guidelines. In the absence of consistent guidance across chronic heart failure, chronic kidney disease and inflammatory bowel disease, we provide practical recommendations for iron deficiency to treating physicians: definition, diagnosis, and disease‐specific diagnostic algorithms. These recommendations should facilitate appropriate diagnosis and treatment of iron deficiency to improve quality of life and clinical outcomes. PMID:28612425

Relevance of deep learning to facilitate the diagnosis of HER2 status in breast cancer

PubMed Central

Vandenberghe, Michel E.; Scott, Marietta L. J.; Scorer, Paul W.; Söderberg, Magnus; Balcerzak, Denis; Barker, Craig

2017-01-01

Tissue biomarker scoring by pathologists is central to defining the appropriate therapy for patients with cancer. Yet, inter-pathologist variability in the interpretation of ambiguous cases can affect diagnostic accuracy. Modern artificial intelligence methods such as deep learning have the potential to supplement pathologist expertise to ensure constant diagnostic accuracy. We developed a computational approach based on deep learning that automatically scores HER2, a biomarker that defines patient eligibility for anti-HER2 targeted therapies in breast cancer. In a cohort of 71 breast tumour resection samples, automated scoring showed a concordance of 83% with a pathologist. The twelve discordant cases were then independently reviewed, leading to a modification of diagnosis from initial pathologist assessment for eight cases. Diagnostic discordance was found to be largely caused by perceptual differences in assessing HER2 expression due to high HER2 staining heterogeneity. This study provides evidence that deep learning aided diagnosis can facilitate clinical decision making in breast cancer by identifying cases at high risk of misdiagnosis. PMID:28378829

Stress Echocardiography for the Diagnosis of Coronary Artery Disease

PubMed Central

2010-01-01

Executive Summary In July 2009, the Medical Advisory Secretariat (MAS) began work on Non-Invasive Cardiac Imaging Technologies for the Diagnosis of Coronary Artery Disease (CAD), an evidence-based review of the literature surrounding different cardiac imaging modalities to ensure that appropriate technologies are accessed by patients suspected of having CAD. This project came about when the Health Services Branch at the Ministry of Health and Long-Term Care asked MAS to provide an evidentiary platform on effectiveness and cost-effectiveness of non-invasive cardiac imaging modalities. After an initial review of the strategy and consultation with experts, MAS identified five key non-invasive cardiac imaging technologies for the diagnosis of CAD. Evidence-based analyses have been prepared for each of these five imaging modalities: cardiac magnetic resonance imaging, single photon emission computed tomography, 64-slice computed tomographic angiography, stress echocardiography, and stress echocardiography with contrast. For each technology, an economic analysis was also completed (where appropriate). A summary decision analytic model was then developed to encapsulate the data from each of these reports (available on the OHTAC and MAS website). The Non-Invasive Cardiac Imaging Technologies for the Diagnosis of Coronary Artery Disease series is made up of the following reports, which can be publicly accessed at the MAS website at: www.health.gov.on.ca/mas"> www.health.gov.on.ca/mas or at www.health.gov.on.ca/english/providers/program/mas/mas_about.html Single Photon Emission Computed Tomography for the Diagnosis of Coronary Artery Disease: An Evidence-Based Analysis Stress Echocardiography for the Diagnosis of Coronary Artery Disease: An Evidence-Based Analysis Stress Echocardiography with Contrast for the Diagnosis of Coronary Artery Disease: An Evidence-Based Analysis 64-Slice Computed Tomographic Angiography for the Diagnosis of Coronary Artery Disease: An Evidence

Automated Diagnosis of Plus Disease in Retinopathy of Prematurity Using Deep Convolutional Neural Networks.

PubMed

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

2018-05-02

Retinopathy of prematurity (ROP) is a leading cause of childhood blindness worldwide. The decision to treat is primarily based on the presence of plus disease, defined as dilation and tortuosity of retinal vessels. However, clinical diagnosis of plus disease is highly subjective and variable. To implement and validate an algorithm based on deep learning to automatically diagnose plus disease from retinal photographs. A deep convolutional neural network was trained using a data set of 5511 retinal photographs. Each image was previously assigned a reference standard diagnosis (RSD) based on consensus of image grading by 3 experts and clinical diagnosis by 1 expert (ie, normal, pre-plus disease, or plus disease). The algorithm was evaluated by 5-fold cross-validation and tested on an independent set of 100 images. Images were collected from 8 academic institutions participating in the Imaging and Informatics in ROP (i-ROP) cohort study. The deep learning algorithm was tested against 8 ROP experts, each of whom had more than 10 years of clinical experience and more than 5 peer-reviewed publications about ROP. Data were collected from July 2011 to December 2016. Data were analyzed from December 2016 to September 2017. A deep learning algorithm trained on retinal photographs. Receiver operating characteristic analysis was performed to evaluate performance of the algorithm against the RSD. Quadratic-weighted κ coefficients were calculated for ternary classification (ie, normal, pre-plus disease, and plus disease) to measure agreement with the RSD and 8 independent experts. Of the 5511 included retinal photographs, 4535 (82.3%) were graded as normal, 805 (14.6%) as pre-plus disease, and 172 (3.1%) as plus disease, based on the RSD. Mean (SD) area under the receiver operating characteristic curve statistics were 0.94 (0.01) for the diagnosis of normal (vs pre-plus disease or plus disease) and 0.98 (0.01) for the diagnosis of plus disease (vs normal or pre-plus disease

Dawn of ocular gene therapy: implications for molecular diagnosis in retinal disease

PubMed Central

Jacques, ZANEVELD; Feng, WANG; Xia, WANG; Rui, CHEN

2013-01-01

Personalized medicine aims to utilize genomic information about patients to tailor treatment. Gene replacement therapy for rare genetic disorders is perhaps the most extreme form of personalized medicine, in that the patients’ genome wholly determines their treatment regimen. Gene therapy for retinal disorders is poised to become a clinical reality. The eye is an optimal site for gene therapy due to the relative ease of precise vector delivery, immune system isolation, and availability for monitoring of any potential damage or side effects. Due to these advantages, clinical trials for gene therapy of retinal diseases are currently underway. A necessary precursor to such gene therapies is accurate molecular diagnosis of the mutation(s) underlying disease. In this review, we discuss the application of Next Generation Sequencing (NGS) to obtain such a diagnosis and identify disease causing genes, using retinal disorders as a case study. After reviewing ocular gene therapy, we discuss the application of NGS to the identification of novel Mendelian disease genes. We then compare current, array based mutation detection methods against next NGS-based methods in three retinal diseases: Leber’s Congenital Amaurosis, Retinitis Pigmentosa, and Stargardt’s disease. We conclude that next-generation sequencing based diagnosis offers several advantages over array based methods, including a higher rate of successful diagnosis and the ability to more deeply and efficiently assay a broad spectrum of mutations. However, the relative difficulty of interpreting sequence results and the development of standardized, reliable bioinformatic tools remain outstanding concerns. In this review, recent advances NGS based molecular diagnoses are discussed, as well as their implications for the development of personalized medicine. PMID:23393028

Diverticular Disease and Colorectal Cancer: Incidental Diagnosis or Real Association? Final Answer.

PubMed

Regula, Jaroslaw

2016-10-01

Associations between diverticular disease of the colon and the colorectal cancer has been studied for >60 years. Observational, cross-sectional, and case-control studies as well as large population-based studies gave conflicting results and association was not fully proven. Obtaining the proof was difficult because both diseases share similar clinical characteristics, both increase with age, and both involve similar dietary factors. Long-term observations are difficult as diagnostic methods changed over time from barium enema 50 to 60 years ago, through endoscopy, up to CT and MR in recent years. Cancer or adenomas may be missed within diverticular segment; diverticula may be underreported in patients with colon cancer diagnosis. Most recent 2 large cohort studies have solved the dilemma. These studies have clearly shown that diverticular disease does not increase the risk of colon cancer after the first year of diagnosis. Within the first year of diagnosis the association is strong, most probably due to difficulties with differential diagnosis and misclassifications and shared symptoms. Findings of these studies have led to the conclusion that colon cancer has to be excluded using modern techniques after the first episode of suspected diverticulitis.

Iron deficiency across chronic inflammatory conditions: International expert opinion on definition, diagnosis, and management.

PubMed

Cappellini, Maria Domenica; Comin-Colet, Josep; de Francisco, Angel; Dignass, Axel; Doehner, Wolfram; Lam, Carolyn S; Macdougall, Iain C; Rogler, Gerhard; Camaschella, Clara; Kadir, Rezan; Kassebaum, Nicholas J; Spahn, Donat R; Taher, Ali T; Musallam, Khaled M

2017-10-01

Iron deficiency, even in the absence of anemia, can be debilitating, and exacerbate any underlying chronic disease, leading to increased morbidity and mortality. Iron deficiency is frequently concomitant with chronic inflammatory disease; however, iron deficiency treatment is often overlooked, partially due to the heterogeneity among clinical practice guidelines. In the absence of consistent guidance across chronic heart failure, chronic kidney disease and inflammatory bowel disease, we provide practical recommendations for iron deficiency to treating physicians: definition, diagnosis, and disease-specific diagnostic algorithms. These recommendations should facilitate appropriate diagnosis and treatment of iron deficiency to improve quality of life and clinical outcomes. © 2017 The Authors American Journal of Hematology Published by Wiley Periodicals, Inc.

Maremar, prevalence of chronic kidney disease, how to avoid over-diagnosis and under-diagnosis.

PubMed

De Broe, Marc E; Gharbi, Mohammed Benghanem; Elseviers, Monique

2016-04-01

Chronic kidney disease is considered as a major public health problem. Recent studies mention a prevalence rate between 8%-12%. Several editorials, comments, short reviews described the weaknesses (lack of confirmation of proteinuria, and of chronicity of decreased estimated glomerular filtration rate) of a substantial number of studies and the irrational of using a single arbitrary set point, i.e. diagnosis of chronic kidney disease whenever the estimated glomerular filtration rate is less than 60mL/min/1.73m(2). Maremar (Maladies rénales chroniques au Maroc) is a prevalence study of chronic kidney disease, hypertension, diabetes and obesity in a randomized, representative, high response rate (85%), sample of the adult population of Morocco, strictly applying the Kidney Disease: Improving Global Outcomes (KDIGO) criteria. Compared to the vast majority of the available studies, Maremar has a low prevalence of chronic kidney disease (2.9% adjusted to the actual adult population of Morocco). The population pyramid, and particularly the confirmation of proteinuria and "chronicity" of the decreased estimated glomerular filtration rate are the main reasons for this low prevalence of chronic kidney disease. The choice of arbitrary single threshold of estimated glomerular filtration rate for classifying stage 3-5 chronic kidney disease inevitably leads to "over-diagnosis" (false positives) of the disease in the elderly, particularly those without proteinuria, hematuria or hypertension, and to "under-diagnosed" (false negatives) in younger individuals with an estimated glomerular filtration rate above 60mL/min/1.73m(2) and below the 3rd percentile of their age/gender category. There is an urgent need for quality studies using in a correct way the recent KDIGO guidelines when investigating the prevalence of chronic kidney disease, in order to avoid a 50 to 100% overestimation of a disease state with potential dramatic consequences. The combination of the general population

Determinants of Weight Loss prior to Diagnosis in Inflammatory Bowel Disease: A Retrospective Observational Study.

PubMed

Elsherif, Yasser; Alexakis, Christopher; Mendall, Michael

2014-01-01

Aims. To identify prevalence, severity, and environmental determinants of weight loss in inflammatory bowel disease (IBD) patients just prior to time of formal diagnosis. Methodology. IBD patients attending outpatient clinic were questioned about weight loss prior to diagnosis and other environmental and demographic variables. The percentage BMI loss was calculated for each subject and factors associated with weight loss were determined. Results. Four hundred and ninety-four subjects were recruited (237 cases of Crohn's disease (CD) and 257 cases of ulcerative colitis (UC)). Overall, 57% of subjects with CD and 51% of subjects with UC experienced significant weight loss prior to diagnosis (>5% BMI loss). Younger age at diagnosis and history of previous IBD surgery were significantly associated with both lower BMI at diagnosis and increased weight loss prior to diagnosis. In CD patients, increasing age at diagnosis was inversely associated with weight loss prior to diagnosis. Ileal disease was a risk factor of weight loss, whereas prior appendectomy was associated with reduced risk of weight loss. Conclusions. Weight loss is a significant problem for many IBD patients at presentation, especially in younger age and CD with ileal involvement. Appendectomy is associated with diminished weight loss.

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.

Addison disease - diagnosis and initial management.

PubMed

O'Connell, Susan; Siafarikas, Aris

2010-11-01

Adrenal insufficiency is a rare disease caused by either primary adrenal failure (Addison disease) or by impairment of the hypothalamic-pituitary-adrenal axis. Steroid replacement therapy normalises quality of life, however, adherence can be problematic. This article provides information on adrenal insufficiency focusing on awareness of initial symptoms and on risk scenarios, emergency management and baseline investigations, complete investigations and long term management. Early recognition of adrenal insufficiency is essential to avoid associated morbidity and mortality. Initial diagnosis and decision to treat are based on history and physical examination. Appropriate management includes emergency resuscitation and steroid administration. Initial investigations can include sodium, potassium and blood glucose levels. However, complete investigations can be deferred. Specialist advice should be obtained and long term management includes a Team Care Arrangement. For patients, an emergency plan and emergency identification are essential.

A Practical Approach to the Diagnosis of Pelvic Inflammatory Disease

PubMed Central

Jaiyeoba, Oluwatosin; Soper, David E.

2011-01-01

The diagnosis of acute pelvic inflammatory disease (PID) is usually based on clinical criteria and can be challenging for even the most astute clinicians. Although diagnostic accuracy is advocated, antibiotic treatment should be instituted if there is a diagnosis of cervicitis or suspicion of acute PID. Currently, no single test or combination of diagnostic indicators have been found to reliably predict PID, and laparoscopy cannot be recommended as a first line tool for PID diagnosis. For this reason, the clinician is left with maintaining a high index of suspicion for the diagnosis as he/she evaluates the lower genital tract for inflammation and the pelvic organs for tenderness in women with genital tract symptoms and a risk for sexually transmitted infection. This approach should minimize treating women without PID with antibiotics and optimize the diagnosis in a practical and cost-effective way. PMID:21822367

AMERICAN COLLEGE OF GASTROENTEROLOGY CLINICAL GUIDELINE: DIAGNOSIS AND MANAGEMENT OF CELIAC DISEASE

PubMed Central

Rubio-Tapia, Alberto; Hill, Ivor D; Kelly, Ciarán P; Calderwood, Audrey H; Murray, Joseph A

2013-01-01

This guideline presents recommendations for the diagnosis and management of patients with celiac disease. Celiac disease is an immune-based reaction to dietary gluten (storage protein for wheat, barley and rye) that primarily affects the small intestine in those with a genetic predisposition and resolves with exclusion of gluten from the diet. There has been a substantial increase in the prevalence of celiac disease over the last 50 years and an increase in the rate of diagnosis in the last 10 years. Celiac disease can present with many symptoms, including typical gastrointestinal symptoms (e.g. diarrhea, steatorrhea, weight loss, bloating, flatulence, abdominal pain) and also non-gastrointestinal abnormalities (e.g. abnormal liver function tests, iron deficiency anemia, bone disease, skin disorders, and many other protean manifestations). Indeed, many individuals with celiac disease may have no symptoms at all. Celiac disease is usually detected by serologic testing of celiac-specific antibodies. The diagnosis is confirmed by duodenal mucosal biopsies. Both serology and biopsy should be performed on a gluten-containing diet. The treatment for celiac disease is primarily a gluten-free diet (GFD), which requires significant patient education, motivation, and follow-up. Non-responsive celiac disease occurs frequently, particularly in those diagnosed in adulthood. Persistent or recurring symptoms should lead to a review of the patient’s original diagnosis to exclude alternative diagnoses, a review of the GFD to ensure there is no obvious gluten contamination, and serologic testing to confirm adherence with the GFD. In addition, evaluation for disorders associated with celiac disease that could cause persistent symptoms, such as microscopic colitis, pancreatic exocrine dysfunction, and complications of celiac disease, such as enteropathy-associated lymphoma or refractory celiac disease, should be entertained. Newer therapeutic modalities are being studied in clinical

Crohn's disease: increased mortality 10 years after diagnosis in a Europe-wide population based cohort.

PubMed

Wolters, F L; Russel, M G; Sijbrandij, J; Schouten, L J; Odes, S; Riis, L; Munkholm, P; Bodini, P; O'Morain, C; Mouzas, I A; Tsianos, E; Vermeire, S; Monteiro, E; Limonard, C; Vatn, M; Fornaciari, G; Pereira, S; Moum, B; Stockbrügger, R W

2006-04-01

No previous correlation between phenotype at diagnosis of Crohn's disease (CD) and mortality has been performed. We assessed the predictive value of phenotype at diagnosis on overall and disease related mortality in a European cohort of CD patients. Overall and disease related mortality were recorded 10 years after diagnosis in a prospectively assembled, uniformly diagnosed European population based inception cohort of 380 CD patients diagnosed between 1991 and 1993. Standardised mortality ratios (SMRs) were calculated for geographic and phenotypic subgroups at diagnosis. Thirty seven deaths were observed in the entire cohort whereas 21.5 deaths were expected (SMR 1.85 (95% CI 1.30-2.55)). Mortality risk was significantly increased in both females (SMR 1.93 (95% CI 1.10-3.14)) and males (SMR 1.79 (95% CI 1.11-2.73)). Patients from northern European centres had a significant overall increased mortality risk (SMR 2.04 (95% CI 1.32-3.01)) whereas a tendency towards increased overall mortality risk was also observed in the south (SMR 1.55 (95% CI 0.80-2.70)). Mortality risk was increased in patients with colonic disease location and with inflammatory disease behaviour at diagnosis. Mortality risk was also increased in the age group above 40 years at diagnosis for both total and CD related causes. Excess mortality was mainly due to gastrointestinal causes that were related to CD. This European multinational population based study revealed an increased overall mortality risk in CD patients 10 years after diagnosis, and age above 40 years at diagnosis was found to be the sole factor associated with increased mortality risk.

Laser mass spectrometry for DNA sequencing, disease diagnosis, and fingerprinting

NASA Astrophysics Data System (ADS)

Chen, C. H. Winston; Taranenko, N. I.; Zhu, Y. F.; Chung, C. N.; Allman, S. L.

1997-05-01

Since laser mass spectrometry has the potential for achieving very fast DNA analysis, we recently applied it to DNA sequencing, DNA typing for fingerprinting, and DNA screening for disease diagnosis. Two different approaches for sequencing DNA have been successfully demonstrated. One is to sequence DNA with DNA ladders produced from Sanger's enzymatic method. The other is to do direct sequencing without DNA ladders. The need for quick DNA typing for identification purposes is critical for forensic application. Our preliminary results indicate laser mass spectrometry can possible be used for rapid DNA fingerprinting applications at a much lower cost than gel electrophoresis. Population screening for certain genetic disease can be a very efficient step to reducing medical costs through prevention. Since laser mass spectrometry can provide very fast DNA analysis, we applied laser mass spectrometry to disease diagnosis. Clinical samples with both base deletion and point mutation have been tested with complete success.

E-Learning for Rare Diseases: An Example Using Fabry Disease.

PubMed

Cimmaruta, Chiara; Liguori, Ludovica; Monticelli, Maria; Andreotti, Giuseppina; Citro, Valentina

2017-09-24

Rare diseases represent a challenge for physicians because patients are rarely seen, and they can manifest with symptoms similar to those of common diseases. In this work, genetic confirmation of diagnosis is derived from DNA sequencing. We present a tutorial for the molecular analysis of a rare disease using Fabry disease as an example. An exonic sequence derived from a hypothetical male patient was matched against human reference data using a genome browser. The missense mutation was identified by running BlastX, and information on the affected protein was retrieved from the database UniProt. The pathogenic nature of the mutation was assessed with PolyPhen-2. Disease-specific databases were used to assess whether the missense mutation led to a severe phenotype, and whether pharmacological therapy was an option. An inexpensive bioinformatics approach is presented to get the reader acquainted with the diagnosis of Fabry disease. The reader is introduced to the field of pharmacological chaperones, a therapeutic approach that can be applied only to certain Fabry genotypes. The principle underlying the analysis of exome sequencing can be explained in simple terms using web applications and databases which facilitate diagnosis and therapeutic choices.

Enteroscopy in the diagnosis and management of celiac disease.

PubMed

Rondonotti, Emanuele; Villa, Federica; Saladino, Valeria; de Franchis, Roberto

2009-07-01

Esophagogastroduodenoscopy (EGD) with 3 to 6 biopsies in the descending duodenum is the gold standard for the diagnosis of celiac disease. At the time of the first diagnosis of celiac disease, an extensive evaluation of the small bowel is not recommended. However, video capsule endoscopy, because of its good sensitivity and specificity in recognizing the Endoscopic features of celiac disease, can be considered a valid alternative to EGD in patients unable or unwilling to undergo EGD with biopsies. Capsule endoscopy is also a possible option in selected cases with strong suspicion of celiac disease but negative first-line tests. In evaluating patients with refractory or complicated celiac disease, in whom a complete evaluation of the small bowel is mandatory (at least in refractory celiac disease type II patients) because of the possible presence of complications beyond the reach of conventional endoscopes, both capsule endoscopy and balloon-assisted enteroscopy have been found to be helpful. In these patients, capsule endoscopy offers several advantages: it is well tolerated, it allows inspection of the entire small bowel, and it is able to recognize subtle mucosal changes. However, in this setting, capsule endoscopy should ideally be coupled with imaging techniques that provide important information about the thickness of the wall of the intestine and about extraluminal abnormalities. Although deep enteroscopy (such as balloon enteroscopy) is expensive, time-consuming, and potentially risky in these frail patients, they may have a key role, because they make it possible to take tissue samples from deep in the small intestine.

Epidemiology of Cranial Cruciate Ligament Disease Diagnosis in Dogs Attending Primary-Care Veterinary Practices in England.

PubMed

Taylor-Brown, Frances E; Meeson, Richard L; Brodbelt, Dave C; Church, David B; McGreevy, Paul D; Thomson, Peter C; O'Neill, Dan G

2015-08-01

To estimate the prevalence and risk factors for a diagnosis of cranial cruciate ligament (CCL) disease in dogs and to describe the management of such cases attending primary-care veterinary practices. Historical cohort with a nested case-control study. Nine hundred and fifty-three dogs diagnosed with CCL disease from 171,522 dogs attending 97 primary-care practices in England. Medical records of dogs attending practices participating in the VetCompass project that met selection criteria were assessed. Univariate and multivariate logistic regression methods were used to evaluate association of possible risk factors with diagnosis of CCL disease. The prevalence of CCL disease diagnosis was estimated at 0.56% (95% confidence interval 0.52-0.59). Compared with crossbred dogs, Rottweilers, West Highland White Terriers, Golden Retrievers, Yorkshire Terriers, and Staffordshire Bull Terriers showed increased odds of CCL disease diagnosis while Cocker Spaniels showed reduced odds. Increasing bodyweight within breeds was associated with increased odds of diagnosis. Dogs aged over 3 years had increased odds of diagnosis compared with dogs aged less than 3 years. Neutered females had 2.1 times the odds of diagnosis compared with entire females. Insured dogs had 4 times the odds of diagnosis compared with uninsured dogs. Two-thirds of cases were managed surgically, with insured and heavier dogs more frequently undergoing surgery. Overall, 21% of cases were referred, with referral more frequent in heavier and insured dogs. Referred dogs more frequently had surgery and an osteotomy procedure. Breed predispositions and demographic factors associated with diagnosis and case management of CCL disease in dogs identified in this study can be used to help direct future research and management strategies. © Copyright 2015 by The American College of Veterinary Surgeons.

Lyme disease and Bell's palsy: an epidemiological study of diagnosis and risk in England.

PubMed

Cooper, Lilli; Branagan-Harris, Michael; Tuson, Richard; Nduka, Charles

2017-05-01

Lyme disease is caused by a tick-borne spirochaete of the Borrelia species. It is associated with facial palsy, is increasingly common in England, and may be misdiagnosed as Bell's palsy. To produce an accurate map of Lyme disease diagnosis in England and to identify patients at risk of developing associated facial nerve palsy, to enable prevention, early diagnosis, and effective treatment. Hospital episode statistics (HES) data in England from the Health and Social Care Information Centre were interrogated from April 2011 to March 2015 for International Classification of Diseases 10th revision (ICD-10) codes A69.2 (Lyme disease) and G51.0 (Bell's palsy) in isolation, and as a combination. Patients' age, sex, postcode, month of diagnosis, and socioeconomic groups as defined according to the English Indices of Deprivation (2004) were also collected. Lyme disease hospital diagnosis increased by 42% per year from 2011 to 2015 in England. Higher incidence areas, largely rural, were mapped. A trend towards socioeconomic privilege and the months of July to September was observed. Facial palsy in combination with Lyme disease is also increasing, particularly in younger patients, with a mean age of 41.7 years, compared with 59.6 years for Bell's palsy and 45.9 years for Lyme disease ( P = 0.05, analysis of variance [ANOVA]). Healthcare practitioners should have a high index of suspicion for Lyme disease following travel in the areas shown, particularly in the summer months. The authors suggest that patients presenting with facial palsy should be tested for Lyme disease. © British Journal of General Practice 2017.

Hidradenitis suppurativa and perianal Crohn disease: differential diagnosis.

PubMed

Bassas-Vila, J; González Lama, Y

2016-09-01

The first description of perianal fistulas and complications in Crohn disease was made 75 years ago by Penner and Crohn. Published studies have subsequently confirmed that perianal fistulas are the most common manifestations of fistulising Crohn disease. Hidradenitis suppurativa was described in 1854 by a French surgeon, Aristide Verneuil. It is a chronic, inflammatory, recurrent and debilitating disease of the pilosebaceous follicle, that usually manifests after puberty with deep, painful and inflamed lesions in the areas of the body with apocrine glands, usually the axillary, inguinal and anogenital regions. The differential diagnosis between hidradenitis suppurativa and Crohn disease can be challenging, especially when the disease is primarily perianal. When they occur simultaneously, hidradenitis suppurativa and Crohn disease show severe phenotypes and patients can respond to anti-tumour necrosis factor therapy, although adalimumab is currently the only treatment with demonstrated efficacy in hidradenitis suppurativa and Crohn disease. In addition, there is sometimes a need for different complementary surgical procedures. Copyright © 2016 Elsevier España, S.L.U. y AEDV. All rights reserved.

Accuracy of clinical diagnosis of Parkinson disease: A systematic review and meta-analysis.

PubMed

Rizzo, Giovanni; Copetti, Massimiliano; Arcuti, Simona; Martino, Davide; Fontana, Andrea; Logroscino, Giancarlo

2016-02-09

To evaluate the diagnostic accuracy of clinical diagnosis of Parkinson disease (PD) reported in the last 25 years by a systematic review and meta-analysis. We searched for articles published between 1988 and August 2014. Studies were included if reporting diagnostic parameters regarding clinical diagnosis of PD or crude data. The selected studies were subclassified based on different study setting, type of test diagnosis, and gold standard. Bayesian meta-analyses of available data were performed. We selected 20 studies, including 11 using pathologic examination as gold standard. Considering only these 11 studies, the pooled diagnostic accuracy was 80.6% (95% credible interval [CrI] 75.2%-85.3%). Accuracy was 73.8% (95% CrI 67.8%-79.6%) for clinical diagnosis performed mainly by nonexperts. Accuracy of clinical diagnosis performed by movement disorders experts rose from 79.6% (95% CrI 46%-95.1%) of initial assessment to 83.9% (95% CrI 69.7%-92.6%) of refined diagnosis after follow-up. Using UK Parkinson's Disease Society Brain Bank Research Center criteria, the pooled diagnostic accuracy was 82.7% (95% CrI 62.6%-93%). The overall validity of clinical diagnosis of PD is not satisfying. The accuracy did not significantly improve in the last 25 years, particularly in the early stages of disease, where response to dopaminergic treatment is less defined and hallmarks of alternative diagnoses such as atypical parkinsonism may not have emerged. Misclassification rate should be considered to calculate the sample size both in observational studies and randomized controlled trials. Imaging and biomarkers are urgently needed to improve the accuracy of clinical diagnosis in vivo. © 2016 American Academy of Neurology.

HIV-associated salivary gland disease--clinical or imaging diagnosis?

PubMed

da Silva Rath, Inês Beatriz; Beltrame, Ana Paula C A; Carvalho, Aroldo P; Schaeffer, Marcela B; Almeida, Izabel C S

2015-07-01

This work aimed at studying the salivary gland disease (SGD) as it relates to associated factors, such as persistent generalised lymphadenopathy (PGL), lymphocytic interstitial pneumonia (LIP), clinical and immunological features of AIDS, and salivary flow rate and pH, as well as at exploring the relationship between the clinical diagnosis and the imaging diagnosis by ultrasound (US) examination of the parotid glands. Information regarding the observation of parotid gland enlargement, PGL, LIP, and clinical and immunological features of AIDS was gathered from medical records, and a saliva sample for unstimulated salivary flow rate and pH measurement was collected from 142 children aged 3 through 10 years treated at the Department of Infectious Diseases of Joana de Gusmão Children's Hospital, Florianópolis, SC, Brazil. High-resolution ultrasonography was performed in 58 children. Pearson's chi-square test and t-test were used to evaluate the association between the variables. A significant association was found between SGD and LIP. Ultrasound revealed a 50% higher incidence of SGD that was not reported in the patients' records. US examination proved to be essential for the correct diagnosis and monitoring of the progression of HIV/SGD. © 2014 BSPD, IAPD and John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

Green disease in optical coherence tomography diagnosis of glaucoma.

PubMed

Sayed, Mohamed S; Margolis, Michael; Lee, Richard K

2017-03-01

Optical coherence tomography (OCT) has become an integral component of modern glaucoma practice. Utilizing color codes, OCT analysis has rendered glaucoma diagnosis and follow-up simpler and faster for the busy clinician. However, green labeling of OCT parameters suggesting normal values may confer a false sense of security, potentially leading to missed diagnoses of glaucoma and/or glaucoma progression. Conditions in which OCT color coding may be falsely negative (i.e., green disease) are identified. Early glaucoma in which retinal nerve fiber layer (RNFL) thickness and optic disc parameters, albeit labeled green, are asymmetric in both eyes may result in glaucoma being undetected. Progressively decreasing RNFL thickness may reveal the presence of progressive glaucoma that, because of green labeling, can be missed by the clinician. Other ocular conditions that can increase RNFL thickness can make the diagnosis of coexisting glaucoma difficult. Recently introduced progression analysis features of OCT may help detect green disease. Recognition of green disease is of paramount importance in diagnosing and treating glaucoma. Understanding the limitations of imaging technologies coupled with evaluation of serial OCT analyses, prompt clinical examination, and structure-function correlation is important to avoid missing real glaucoma requiring treatment.

PCR/LDR/universal array platforms for the diagnosis of infectious disease.

PubMed

Pingle, Maneesh; Rundell, Mark; Das, Sanchita; Golightly, Linnie M; Barany, Francis

2010-01-01

Infectious diseases account for between 14 and 17 million deaths worldwide each year. Accurate and rapid diagnosis of bacterial, fungal, viral, and parasitic infections is therefore essential to reduce the morbidity and mortality associated with these diseases. Classical microbiological and serological methods have long served as the gold standard for diagnosis but are increasingly being replaced by molecular diagnostic methods that demonstrate increased sensitivity and specificity and provide an identification of the etiologic agent in a shorter period of time. PCR/LDR coupled with universal array detection provides a highly sensitive and specific platform for the detection and identification of bacterial and viral infections.

PCR/LDR/Universal Array Platforms for the Diagnosis of Infectious Disease

PubMed Central

Pingle, Maneesh; Rundell, Mark; Das, Sanchita; Golightly, Linnie M.; Barany, Francis

2015-01-01

Infectious diseases account for between 14 and 17 million deaths worldwide each year. Accurate and rapid diagnosis of bacterial, fungal, viral, and parasitic infections is therefore essential to reduce the morbidity and mortality associated with these diseases. Classical microbiological and serological methods have long served as the gold standard for diagnosis but are increasingly being replaced by molecular diagnostic methods that demonstrate increased sensitivity and specificity and provide an identification of the etiologic agent in a shorter period of time. PCR/LDR coupled with universal array detection provides a highly sensitive and specific platform for the detection and identification of bacterial and viral infections. PMID:20217576

Analysis of pulmonary sounds for the diagnosis of interstitial lung diseases secondary to rheumatoid arthritis.

PubMed

Pancaldi, Fabrizio; Sebastiani, Marco; Cassone, Giulia; Luppi, Fabrizio; Cerri, Stefania; Della Casa, Giovanni; Manfredi, Andreina

2018-05-01

The diagnosis of interstitial lung diseases in patients affected by rheumatoid arthritis is fundamental to improving their survival rate. In particular, the average survival time of patients affected by rheumatoid arthritis with pulmonary implications is approximately 3 years. The gold standard for confirming the diagnosis of this disease is computer tomography. However, it is very difficult to raise diagnosis suspicion because the symptoms of the disease are extremely common in elderly people. The detection of the so-called velcro crackle in lung sounds can effectively raise the suspicion of an interstitial disease and speed up diagnosis. However, this task largely relies on the experience of physicians and has not yet been standardized in clinical practice. The diagnosis of interstitial lung diseases based on thorax auscultation still represents an underexplored field in the study of rheumatoid arthritis. In this study, we investigate the problem of the automatic detection of velcro crackle in lung sounds. In practice, the patient is auscultated using a digital stethoscope and the lung sounds are saved to a file. The acquired digital data are then analysed using a suitably developed algorithm. In particular, the proposed solution relies on the empirical observation that the audio bandwidth associated with velcro crackle is larger than that associated with healthy breath sounds. Experimental results from a database of 70 patients affected by rheumatoid arthritis demonstrate that the developed tool can outperform specialized physicians in terms of diagnosing pulmonary disorders. The overall accuracy of the proposed solution is 90.0%, with negative and positive predictive values of 95.0% and 83.3%, respectively, whereas the reliability of physician diagnosis is in the range of 60-70%. The devised algorithm represents an enabling technology for a novel approach to the diagnosis of interstitial lung diseases in patients affected by rheumatoid arthritis. Copyright �

Spatial pattern formation facilitates eradication of infectious diseases

PubMed Central

Eisinger, Dirk; Thulke, Hans-Hermann

2008-01-01

Control of animal-born diseases is a major challenge faced by applied ecologists and public health managers. To improve cost-effectiveness, the effort required to control such pathogens needs to be predicted as accurately as possible. In this context, we reviewed the anti-rabies vaccination schemes applied around the world during the past 25 years. We contrasted predictions from classic approaches based on theoretical population ecology (which governs rabies control to date) with a newly developed individual-based model. Our spatially explicit approach allowed for the reproduction of pattern formation emerging from a pathogen's spread through its host population. We suggest that a much lower management effort could eliminate the disease than that currently in operation. This is supported by empirical evidence from historic field data. Adapting control measures to the new prediction would save one-third of resources in future control programmes. The reason for the lower prediction is the spatial structure formed by spreading infections in spatially arranged host populations. It is not the result of technical differences between models. Synthesis and applications. For diseases predominantly transmitted by neighbourhood interaction, our findings suggest that the emergence of spatial structures facilitates eradication. This may have substantial implications for the cost-effectiveness of existing disease management schemes, and suggests that when planning management strategies consideration must be given to methods that reflect the spatial nature of the pathogen–host system. PMID:18784795

[Development of a laboratory test on dried blood spots for facilitating early diagnosis of alpha-1-antitrypsin deficiency].

PubMed

Balduyck, Malika; Chapuis Cellier, Colette; Roche, Denis; Odou, Marie-Françoise; Joly, Philippe; Madelain, Vincent; Vergne, Anita; Nouadje, Georges; Lafitte, Jean-Jacques; Porchet, Nicole; Beaune, Philippe; Zerimech, Farid

2014-01-01

Alpha- 1-antitrypsin (A1AT) deficiency is a hereditary autosomal codominant genetic disorder resulting in low circulating levels of A1AT and leading to lung and/or liver disease. It remains underdiagnosed and only 5 to 10% of PIZZ patients, the most common form of severe A1AT deficiency, would be actually identified in France. Facilitating early diagnosis of A1AT deficiency would allow a better management of this disease; therefore we have developed and standardized in three laboratories involved in this study, a diagnostic test on dried blood spots (DBS) including quantitative A1AT measurement, phenotyping by IEF electrophoresis and, if necessary, genotyping by SERPINA1 gene sequencing. We performed a quantitative assay on 90 DBS samples by immunoturbidimetric or immunonephelometric methods. We demonstrated that both methods were suitable for this type of sampling and the results obtained were highly correlated (R(2)>0.9) between the three laboratories: for a target value of 1.00 g/L, the results obtained from the three laboratories were between 1.00 and 1.02 g/L. Phenotyping and genotyping were performed under redefined operating conditions and adapted to the analysis of DBS samples. The results were comparable with those obtained for venous blood samples. Following this work, it becomes possible to provide pulmonologists with a reliable kit to perform a capillary blood sampling on filter paper which would allow a large-scale screening of A1AT deficiency in the population particularly affected by this genetic condition.

Crohn's disease: increased mortality 10 years after diagnosis in a Europe‐wide population based cohort

PubMed Central

Wolters, F L; Russel, M G; Sijbrandij, J; Schouten, L J; Odes, S; Riis, L; Munkholm, P; Bodini, P; O'Morain, C; Mouzas, I A; Tsianos, E; Vermeire, S; Monteiro, E; Limonard, C; Vatn, M; Fornaciari, G; Pereira, S; Moum, B; Stockbrügger, R W

2006-01-01

Background No previous correlation between phenotype at diagnosis of Crohn's disease (CD) and mortality has been performed. We assessed the predictive value of phenotype at diagnosis on overall and disease related mortality in a European cohort of CD patients. Methods Overall and disease related mortality were recorded 10 years after diagnosis in a prospectively assembled, uniformly diagnosed European population based inception cohort of 380 CD patients diagnosed between 1991 and 1993. Standardised mortality ratios (SMRs) were calculated for geographic and phenotypic subgroups at diagnosis. Results Thirty seven deaths were observed in the entire cohort whereas 21.5 deaths were expected (SMR 1.85 (95% CI 1.30–2.55)). Mortality risk was significantly increased in both females (SMR 1.93 (95% CI 1.10–3.14)) and males (SMR 1.79 (95% CI 1.11–2.73)). Patients from northern European centres had a significant overall increased mortality risk (SMR 2.04 (95% CI 1.32–3.01)) whereas a tendency towards increased overall mortality risk was also observed in the south (SMR 1.55 (95% CI 0.80–2.70)). Mortality risk was increased in patients with colonic disease location and with inflammatory disease behaviour at diagnosis. Mortality risk was also increased in the age group above 40 years at diagnosis for both total and CD related causes. Excess mortality was mainly due to gastrointestinal causes that were related to CD. Conclusions This European multinational population based study revealed an increased overall mortality risk in CD patients 10 years after diagnosis, and age above 40 years at diagnosis was found to be the sole factor associated with increased mortality risk. PMID:16150857

ECG feature extraction and disease diagnosis.

PubMed

Bhyri, Channappa; Hamde, S T; Waghmare, L M

2011-01-01

An important factor to consider when using findings on electrocardiograms for clinical decision making is that the waveforms are influenced by normal physiological and technical factors as well as by pathophysiological factors. In this paper, we propose a method for the feature extraction and heart disease diagnosis using wavelet transform (WT) technique and LabVIEW (Laboratory Virtual Instrument Engineering workbench). LabVIEW signal processing tools are used to denoise the signal before applying the developed algorithm for feature extraction. First, we have developed an algorithm for R-peak detection using Haar wavelet. After 4th level decomposition of the ECG signal, the detailed coefficient is squared and the standard deviation of the squared detailed coefficient is used as the threshold for detection of R-peaks. Second, we have used daubechies (db6) wavelet for the low resolution signals. After cross checking the R-peak location in 4th level, low resolution signal of daubechies wavelet P waves and T waves are detected. Other features of diagnostic importance, mainly heart rate, R-wave width, Q-wave width, T-wave amplitude and duration, ST segment and frontal plane axis are also extracted and scoring pattern is applied for the purpose of heart disease diagnosis. In this study, detection of tachycardia, bradycardia, left ventricular hypertrophy, right ventricular hypertrophy and myocardial infarction have been considered. In this work, CSE ECG data base which contains 5000 samples recorded at a sampling frequency of 500 Hz and the ECG data base created by the S.G.G.S. Institute of Engineering and Technology, Nanded (Maharashtra) have been used.

Serum transglutaminase 3 antibodies correlate with age at celiac disease diagnosis.

PubMed

Salmi, Teea T; Kurppa, Kalle; Hervonen, Kaisa; Laurila, Kaija; Collin, Pekka; Huhtala, Heini; Saavalainen, Päivi; Sievänen, Harri; Reunala, Timo; Kaukinen, Katri

2016-06-01

Transglutaminase (TG)2 is the autoantigen in celiac disease, but also TG3 antibodies have been detected in the serum of celiac disease patients. To investigate the correlations between serum TG3 antibodies and clinical and histological manifestations of celiac disease and to assess gluten-dependency of TG3 antibodies. Correlations between serum TG3 antibody levels measured from 119 adults and children with untreated coeliac disease and the demographic data, clinical symptoms, celiac antibodies, histological data and results of laboratory tests and bone mineral densities were tested. TG3 antibodies were reinvestigated in 97 celiac disease patients after 12 months on a gluten-free diet (GFD). TG3 antibody titers were shown to correlate with the age at celiac disease diagnosis. Further, negative correlation with TG3 antibodies and intestinal γδ+ cells at diagnosis and on GFD was detected. Correlations were not detected with the clinical manifestation of celiac disease, TG2 or endomysial autoantibodies, laboratory values, severity of mucosal villous atrophy, associated diseases or complications. TG3 antibody titers decreased on GFD in 56% of the TG3 antibody positive patients. Serum TG3 antibody positivity in celiac disease increases as the diagnostic age rises. TG3 antibodies did not show similar gluten-dependency as TG2 antibodies. Copyright © 2016 Editrice Gastroenterologica Italiana S.r.l. Published by Elsevier Ltd. All rights reserved.

Sexually transmitted diseases in Indonesia.

PubMed

Harahap, M

1980-10-01

Epidemiological factors and changing ecological conditions have greatly facilitated the spread of sexually transmitted diseases and led to their rising incidence in Indonesia. Gonorrhoea is at present very prevalent, and drug resistance among circulating strains of gonococci is a contributing factor. Despite medical advances in both diagnosis and treatment of sexually transmitted diseases, these are becoming commoner; unlike other communicable diseases they have so far defied efforts to control them.

3rd European Evidence-based Consensus on the Diagnosis and Management of Crohn's Disease 2016: Part 1: Diagnosis and Medical Management.

PubMed

Gomollón, Fernando; Dignass, Axel; Annese, Vito; Tilg, Herbert; Van Assche, Gert; Lindsay, James O; Peyrin-Biroulet, Laurent; Cullen, Garret J; Daperno, Marco; Kucharzik, Torsten; Rieder, Florian; Almer, Sven; Armuzzi, Alessandro; Harbord, Marcus; Langhorst, Jost; Sans, Miquel; Chowers, Yehuda; Fiorino, Gionata; Juillerat, Pascal; Mantzaris, Gerassimos J; Rizzello, Fernando; Vavricka, Stephan; Gionchetti, Paolo

2017-01-01

This paper is the first in a series of two publications relating to the European Crohn's and Colitis Organisation [ECCO] evidence-based consensus on the diagnosis and management of Crohn's disease and concerns the methodology of the consensus process, and the classification, diagnosis and medical management of active and quiescent Crohn's disease. Surgical management as well as special situations including management of perianal Crohn's disease of this ECCO Consensus are covered in a subsequent second paper [Gionchetti et al JCC 2016]. Copyright © 2016 European Crohn’s and Colitis Organisation (ECCO). Published by Oxford University Press. All rights reserved. For permissions, please email: journals.permissions@oup.com.

Diagnosis of Cognitive Impairment Compatible with Early Diagnosis of Alzheimer's Disease. A Bayesian Network Model based on the Analysis of Oral Definitions of Semantic Categories.

PubMed

Guerrero, J M; Martínez-Tomás, R; Rincón, M; Peraita, H

2016-01-01

mild and moderate AD patients) from Madrid region's hospitals. Experienced neurologists diagnosed these cases following the National Institute of Neurological and Communicative Disorders and Stroke/Alzheimer's Disease and Related Disorders Association (NINCDS-ADRDA)'s Alzheimer's criteria, performing, among other explorations and tests, a minimum neuropsychological exploration that included the Mini-Mental State Examination test. BN's classification performance is remarkable compared with other machine learning methods, achieving 91% accuracy and 94% precision in mild and moderate AD patients. Apart from this, the BN model facilitates the explanation of the reasoning process and the validation of the conclusions and allows the study of uncommon declarative semantic memory impairments. Our method is able to analyse LSCD in a wide set of semantic categories throughout the progression of CI, being a valuable first screening method in AD diagnosis in its early stages. Because of its low cost, it can be used for routine clinical evaluations or screenings to detect AD in its early stages. Besides, due to its knowledge-based structure, it can be easily extended to provide an explanation of the diagnosis and to the study of other neurodegenerative diseases. Further, this is a key advantage of BNs over other machine learning methods with similar performance: it is a recognisable and explanatory model that allows one to study irregularities in different semantic categories.

The Challenges and Advances in Diagnosis of Vector-Borne Diseases: Where Do We Stand?

PubMed

Kuleš, Josipa; Potocnakova, Lenka; Bhide, Katarina; Tomassone, Laura; Fuehrer, Hans-Peter; Horvatić, Anita; Galan, Asier; Guillemin, Nicolas; Nižić, Petra; Mrljak, Vladimir; Bhide, Mangesh

2017-05-01

Vector-borne diseases (VBD) are of major importance to human and animal health. In recent years, VBD have been emerging or re-emerging in many geographical areas, alarming new disease threats and economic losses. The precise diagnosis of many of these diseases still remains a major challenge because of the lack of comprehensive data available on accurate and reliable diagnostic methods. Here, we conducted a systematic and in-depth review of the former, current, and upcoming techniques employed for the diagnosis of VBD.

Content Design and System Implementation of a Teleophthalmology System for Eye Disease Diagnosis and Treatment and Its Preliminary Practice in Guangdong, China.

PubMed

Xiao, Di; Vignarajan, Janardhan; Chen, Tingting; Ye, Tiantian; Xiao, Baixiang; Congdon, Nathan; Kanagasingam, Yogessan

2017-12-01

We have developed a new telemedicine system for comprehensive eye examination, diabetic retinopathy (DR) screening, and eye disease diagnosis and treatment. The novel points of the system include a tablet application for facilitating doctor's examination and diagnosis process, a comprehensive eye examination component, and integrated treatment planning and recording. The system provided a new service model through one ophthalmological center linking with multiple remote and rural hospitals for eye care in Guangdong province, China. The early stage of the project study also undertook the responsibility of educations for remote-area doctors and image graders for DR grading and glaucoma grading and research on the effectiveness of short message service (SMS) reminder for patient revisit. Some other research, such as the comparison of the accuracy of graders' DR grading with the gold standard, and doctor's tentative diagnosis with final diagnosis and related statistical information, has been implemented in the system. In the preliminary practice, we summarized the outcomes related to presenting system performance and made an initial analysis. From the practice, the project has shown the telemedicine system and associated contents have satisfied our initial goal and demonstrated their effectiveness and efficiency.

Breath analysis in disease diagnosis: methodological considerations and applications.

PubMed

Lourenço, Célia; Turner, Claire

2014-06-20

Breath analysis is a promising field with great potential for non-invasive diagnosis of a number of disease states. Analysis of the concentrations of volatile organic compounds (VOCs) in breath with an acceptable accuracy are assessed by means of using analytical techniques with high sensitivity, accuracy, precision, low response time, and low detection limit, which are desirable characteristics for the detection of VOCs in human breath. "Breath fingerprinting", indicative of a specific clinical status, relies on the use of multivariate statistics methods with powerful in-built algorithms. The need for standardisation of sample collection and analysis is the main issue concerning breath analysis, blocking the introduction of breath tests into clinical practice. This review describes recent scientific developments in basic research and clinical applications, namely issues concerning sampling and biochemistry, highlighting the diagnostic potential of breath analysis for disease diagnosis. Several considerations that need to be taken into account in breath analysis are documented here, including the growing need for metabolomics to deal with breath profiles.

[Is bone biopsy necessary for the diagnosis of metabolic bone diseases? Necessity of bone biopsy].

PubMed

Ito, Akemi; Yajima, Aiji

2011-09-01

Histological analysis of undecalcified bone biopsy specimens is a valuable clinical and research tool for studying the etiology, pathogenesis and treatment of metabolic bone diseases. In case of osteoporosis, bone biopsy is not usually required for the diagnosis ; however, bone histomorphometry may be useful in rare cases with unusual skeletal fragility. Bone histomorphometry also provides valuable information on the mechanism of action, safety and efficacy of new anti-osteoporosis drugs. Bone histomorphometry is useful for the diagnosis and the assessment of treatment response in rickets/osteomalacia and in CKD-MBD (chronic kidney disease-mineral and bone disorders) . In Japan, bone biopsy is often performed to establish the diagnosis of Paget's disease of bone, especially to differentiate it from metastatic bone disease.

Celiac disease and obesity: need for nutritional follow-up after diagnosis.

PubMed

Valletta, E; Fornaro, M; Cipolli, M; Conte, S; Bissolo, F; Danchielli, C

2010-11-01

More than 20 years of serological approach to diagnosis of celiac disease (CD) has deeply changed the classical clinical presentation of the disease, and some reports indicate that CD and obesity can coexist in both childhood and adolescence. We reviewed clinical records of 149 children with CD followed in our institution between 1991 and 2007, considering weight, height and body mass index (BMI), both at diagnosis and after at least 12 months of gluten-free diet (GFD). In all, 11% of patients had BMI z-score >+1 and 3% were obese (z-score >+2) at presentation. In our population, there was a significant (P=0.008) increase in BMI z-score after GFD and the percentage of overweight (z-score >+1) subjects almost doubled (11 vs 21%, P=0.03). Our data suggest the need for a careful follow-up of nutritional status after diagnosis of CD, especially addressing those who are already overweight at presentation.

Wilson's Disease: a challenge of diagnosis. The 5-year experience of a tertiary centre.

PubMed

Gheorghe, Liana; Popescu, Irinel; Iacob, Speranta; Gheorghe, Cristian; Vaidan, Roxana; Constantinescu, Alexandra; Iacob, Razvan; Becheanu, Gabriel; Angelescu, Corina; Diculescu, Mircea

2004-09-01

Because molecular diagnosis is considered impractical and no patognomonic features have been described, diagnosis of Wilson's disease (WD) using clinical and biochemical findings is still challenging. We analysed predictive factors for the diagnosis in 55 patients with WD diagnosed in our centre between 1st January 1999 and 1st April 2004. All patients presented predominant liver disease classified as: 1) asymptomatic, found incidentally, 2) chronic hepatitis or cirrhosis, or 3) fulminant hepatic failure. Diagnosis was considered as classic (two out of the three following criteria: 1) serum ceruloplasmin < 20 mg/dl, 2) the presence of Kayser-Fleischer rings and/or 3) hepatic copper > 250 mg/g dry weight liver tissue), and non-classic (clinical manifestations plus laboratory parameters suggesting impaired copper metabolism). The association between the predictive factors and non-classic diagnosis was assessed based on the level of statistical significance (p value<0.05) associated with the chi-squared test in contingency tables. Multivariate analysis was performed by logistic regression using SPSS 10. There were 31 males (56.3%) and 24 females (43.7%) with the mean age at diagnosis of 20.92 +/- 9.97 years (4-52 years); 51 patients (92.7%) were younger than 40 years. Asymptomatic WD was diagnosed in 14 patients (25.4%), chronic liver disease due to WD in 29 patients (52.8%) and fulminant hepatic failure in 12 patients (21.8%). The classic diagnosis was made in 32 patients (58.18%). In the univariate analysis the non-classic diagnosis was associated with: age>18 years (p=0.03), increased copper excretion (p<0.0001), Coombs-negative hemolysis (p=0.03), absence of neurological manifestations (p<0.0001). Multivariate analysis identified age over 18 years, increased urinary copper, and isolated hepatic involvement as independent predictors. In clinical practice, WD should be considered also in patients who do not fulfil classic criteria. Independent factors associated

Overcoming the barriers to diagnosis of Morquio A syndrome.

PubMed

Bhattacharya, Kaustuv; Balasubramaniam, Shanti; Choy, Yew Sing; Fietz, Michael; Fu, Antony; Jin, Dong Kyu; Kim, Ok-Hwa; Kosuga, Motomichi; Kwun, Young Hee; Inwood, Anita; Lin, Hsiang-Yu; McGill, Jim; Mendelsohn, Nancy J; Okuyama, Torayuki; Samion, Hasri; Tan, Adeline; Tanaka, Akemi; Thamkunanon, Verasak; Toh, Teck-Hock; Yang, Albert D; Lin, Shuan-Pei

2014-11-30

Morquio A syndrome is an autosomal recessive lysosomal storage disease often resulting in life-threatening complications. Early recognition and proficient diagnosis is imperative to facilitate prompt treatment and prevention of clinical complications. Experts in Asia Pacific reviewed medical records focusing on presenting signs and symptoms leading to a diagnosis of Morquio A syndrome. Eighteen patients (77% female) had a mean (median; min, max) age of 77.1 (42.0; 0.0, 540.0) months at symptom onset, 78.9 (42.0; 4.5, 540.0) months at presentation and 113.8 (60.0; 7.0, 540.0) months at diagnosis. Orthopedic surgeons and pediatricians were most frequently consulted pre-diagnosis while clinical geneticists/metabolic specialists most frequently made the diagnosis. Delayed diagnoses were due to atypical symptoms for 5 patients (28%), while 4 patients (22%) experienced each of subtle symptoms, symptoms commonly associated with other diseases, or false-negative urine glycosaminoglycan analysis. Two patients (11%) each experienced overgrowth within the first year of life. Two patients with Morquio A syndrome (11%) were diagnosed with craniosynostosis and 1 (6%) for each of Legg-Calvé-Perthes disease, Leri-Weill syndrome, and pseudoachondroplasia. Early radiographic features of Morquio A syndrome led to more efficient diagnosis. Increased awareness of clinical symptomology overlapping with Morquio A syndrome is essential. Clinicians encountering patients with certain skeletal dysplasia should consider Morquio A syndrome in their differential diagnosis. Atypical or subtle symptoms should not eliminate Morquio A syndrome from the differential diagnosis, especially for patients who may have non-classical phenotype of Morquio A syndrome.

Joint association discovery and diagnosis of Alzheimer's disease by supervised heterogeneous multiview learning.

PubMed

Zhe, Shandian; Xu, Zenglin; Qi, Yuan; Yu, Peng

2014-01-01

A key step for Alzheimer's disease (AD) study is to identify associations between genetic variations and intermediate phenotypes (e.g., brain structures). At the same time, it is crucial to develop a noninvasive means for AD diagnosis. Although these two tasks-association discovery and disease diagnosis-have been treated separately by a variety of approaches, they are tightly coupled due to their common biological basis. We hypothesize that the two tasks can potentially benefit each other by a joint analysis, because (i) the association study discovers correlated biomarkers from different data sources, which may help improve diagnosis accuracy, and (ii) the disease status may help identify disease-sensitive associations between genetic variations and MRI features. Based on this hypothesis, we present a new sparse Bayesian approach for joint association study and disease diagnosis. In this approach, common latent features are extracted from different data sources based on sparse projection matrices and used to predict multiple disease severity levels based on Gaussian process ordinal regression; in return, the disease status is used to guide the discovery of relationships between the data sources. The sparse projection matrices not only reveal the associations but also select groups of biomarkers related to AD. To learn the model from data, we develop an efficient variational expectation maximization algorithm. Simulation results demonstrate that our approach achieves higher accuracy in both predicting ordinal labels and discovering associations between data sources than alternative methods. We apply our approach to an imaging genetics dataset of AD. Our joint analysis approach not only identifies meaningful and interesting associations between genetic variations, brain structures, and AD status, but also achieves significantly higher accuracy for predicting ordinal AD stages than the competing methods.

Computer-Aided Characterization and Diagnosis of Diffuse Liver Diseases Based on Ultrasound Imaging: A Review.

PubMed

Bharti, Puja; Mittal, Deepti; Ananthasivan, Rupa

2016-04-19

Diffuse liver diseases, such as hepatitis, fatty liver, and cirrhosis, are becoming a leading cause of fatality and disability all over the world. Early detection and diagnosis of these diseases is extremely important to save lives and improve effectiveness of treatment. Ultrasound imaging, a noninvasive diagnostic technique, is the most commonly used modality for examining liver abnormalities. However, the accuracy of ultrasound-based diagnosis depends highly on expertise of radiologists. Computer-aided diagnosis systems based on ultrasound imaging assist in fast diagnosis, provide a reliable "second opinion" for experts, and act as an effective tool to measure response of treatment on patients undergoing clinical trials. In this review, we first describe appearance of liver abnormalities in ultrasound images and state the practical issues encountered in characterization of diffuse liver diseases that can be addressed by software algorithms. We then discuss computer-aided diagnosis in general with features and classifiers relevant to diffuse liver diseases. In later sections of this paper, we review the published studies and describe the key findings of those studies. A concise tabular summary comparing image database, features extraction, feature selection, and classification algorithms presented in the published studies is also exhibited. Finally, we conclude with a summary of key findings and directions for further improvements in the areas of accuracy and objectiveness of computer-aided diagnosis. © The Author(s) 2016.

Optimizing Parkinson's disease diagnosis: the role of a dual nuclear imaging algorithm.

PubMed

Langston, J William; Wiley, Jesse C; Tagliati, Michele

2018-01-01

The diagnosis of Parkinson's disease (PD) currently relies almost exclusively on the clinical judgment of an experienced neurologist, ideally a specialist in movement disorders. However, such clinical diagnosis is often incorrect in a large percentage of patients, particularly in the early stages of the disease. A commercially available, objective and quantitative marker of nigrostriatal neurodegeneration was recently provided by 123-iodine 123 I-ioflupane SPECT imaging, which is however unable to differentiate PD from a variety of other parkinsonian syndromes associated with striatal dopamine deficiency. There is evidence to support an algorithm utilizing a dual neuroimaging strategy combining 123 I-ioflupane SPECT and the noradrenergic receptor ligand 123 I-metaiodobenzylguanidine (MIBG), which assesses the post-ganglion peripheral autonomic nervous system. Evolving concepts regarding the synucleinopathy affecting the central and peripheral autonomic nervous systems as part of a multisystem disease are reviewed to sustain such strategy. Data are presented to show how MIBG deficits are a common feature of multisystem Lewy body disease and can be used as a unique feature to distinguish PD from atypical parkinsonisms. We propose that the combination of cardiac (MIBG) and cerebral 123 I-ioflupane SPECT could satisfy one of the most significant unmet needs of current PD diagnosis and management, namely the early and accurate diagnosis of patients with typical Lewy body PD. Exemplary case scenarios will be described, highlighting how dual neuroimaging strategy can maximize diagnostic accuracy for patient care, clinical trials, pre-symptomatic PD screening, and special cases provided by specific genetic mutations associated with PD.

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.

Barriers and facilitators to effective communication experienced by patients with malignant lymphoma at all stages after diagnosis.

PubMed

van Bruinessen, Inge Renske; van Weel-Baumgarten, Evelyn M; Gouw, Hans; Zijlstra, Josée M; Albada, Akke; van Dulmen, Sandra

2013-12-01

This study aims to gain insight into patient-perceived communication barriers and facilitators at different stages after the diagnosis of malignant lymphoma. We have detected patterns to explain when these factors influence communication predominantly. A qualitative approach was applied, derived from the context mapping framework. A total of 28 patients completed a set of assignments about their experiences with provider-patient communication during medical consultations. Subsequently, these patients and nine companions shared their experiences during a semistructured (group) interview, which was recorded on audiotape. The audiotapes and assignments were analysed with MAXQDA software. From the patients' viewpoint, communicating effectively appears to depend on their own attributes (e.g. emotions), the health care professionals' attributes (e.g. attitude) and external factors (e.g. time pressure). Three patient communication states were identified: (i) overwhelmed, passive; (ii) pro-active, self-motivated; and (iii) proficient, empowered. Patients seem to behave differently in the three communication states. This study lists patient-perceived communication barriers and facilitators and identifies three different communication states, which indicate when certain barriers and facilitators are encountered. These findings may support health care professionals to tailor the provision of support and information and remove communication barriers accordingly. Additionally, they provide input for interventions to support patients in effective communication. Copyright © 2013 John Wiley & Sons, Ltd.

2015 update on the diagnosis and management of neoplastic pericardial disease.

PubMed

Lestuzzi, Chiara; Berretta, Massimiliano; Tomkowski, Witold

2015-04-01

The best approach in diagnosis and treatment of neoplastic pericardial disease has not been defined yet. The authors report the most recent literature about the new diagnostic techniques that are useful to improve the diagnosis. The literature about the therapeutic options is critically reviewed, in order to give suggestions of use to the clinical practice. Pericardial effusion may require urgent drainage; the solid component, however, becomes predominant in some cases. Neoplastic pericardial disease should be assessed following oncologic criteria evaluation of the neoplastic burden; outcome classified as complete or partial response, stable or progressive disease and - in cases with progression - event-free survival. Systemic chemotherapy may be effective in lymphomas and possibly in breast carcinomas. Intrapericardial chemotherapy with systemic chemotherapy is the treatment of choice in lung cancer. Pericardial window with systemic chemotherapy is also effective in preventing the accumulation of large amount of fluid.

Diagnosis of liver disease in domestic ferrets (Mustela putorius).

PubMed

Huynh, Minh; Laloi, Flora

2013-01-01

Liver disease in ferrets is often subclinical and underdiagnosed. Clinical pathology and diagnostic imaging are needed to guide clinicians but definite diagnosis is based on histopathologic lesions. Inflammatory digestive conditions can lead to ascending tract infection and hepatobiliary inflammation. Ferrets have a specific sensitivity to hepatic lipidosis. Incidence of hepatic neoplasia is high in ferrets. After a summary of anatomy and physiology of the ferret liver, hepatic diseases known in ferret species are reviewed with their subsequent diagnostic procedures. Copyright © 2013 Elsevier Inc. All rights reserved.

Cognitive domains that predict time to diagnosis in prodromal Huntington disease.

PubMed

Harrington, Deborah Lynn; Smith, Megan M; Zhang, Ying; Carlozzi, Noelle E; Paulsen, Jane S

2012-06-01

Prodromal Huntington's disease (prHD) is associated with a myriad of cognitive changes but the domains that best predict time to clinical diagnosis have not been studied. This is a notable gap because some domains may be more sensitive to cognitive decline, which would inform clinical trials. The present study sought to characterise cognitive domains underlying a large test battery and for the first time, evaluate their ability to predict time to diagnosis. Participants included gene negative and gene positive prHD participants who were enrolled in the PREDICT-HD study. The CAG-age product (CAP) score was the measure of an individual's genetic signature. A factor analysis of 18 tests was performed to identify sets of measures or latent factors that elucidated core constructs of tests. Factor scores were then fit to a survival model to evaluate their ability to predict time to diagnosis. Six factors were identified: (1) speed/inhibition, (2) verbal working memory, (3) motor planning/speed, (4) attention-information integration, (5) sensory-perceptual processing and (6) verbal learning/memory. Factor scores were sensitive to worsening of cognitive functioning in prHD, typically more so than performances on individual tests comprising the factors. Only the motor planning/speed and sensory-perceptual processing factors predicted time to diagnosis, after controlling for CAP scores and motor symptoms. Conclusions The results suggest that motor planning/speed and sensory-perceptual processing are important markers of disease prognosis. The findings also have implications for using composite indices of cognition in preventive Huntington's disease trials where they may be more sensitive than individual tests.

Differential Diagnosis of Erythmato-Squamous Diseases Using Classification and Regression Tree.

PubMed

Maghooli, Keivan; Langarizadeh, Mostafa; Shahmoradi, Leila; Habibi-Koolaee, Mahdi; Jebraeily, Mohamad; Bouraghi, Hamid

2016-10-01

Differential diagnosis of Erythmato-Squamous Diseases (ESD) is a major challenge in the field of dermatology. The ESD diseases are placed into six different classes. Data mining is the process for detection of hidden patterns. In the case of ESD, data mining help us to predict the diseases. Different algorithms were developed for this purpose. we aimed to use the Classification and Regression Tree (CART) to predict differential diagnosis of ESD. we used the Cross Industry Standard Process for Data Mining (CRISP-DM) methodology. For this purpose, the dermatology data set from machine learning repository, UCI was obtained. The Clementine 12.0 software from IBM Company was used for modelling. In order to evaluation of the model we calculate the accuracy, sensitivity and specificity of the model. The proposed model had an accuracy of 94.84% (. 24.42) in order to correct prediction of the ESD disease. Results indicated that using of this classifier could be useful. But, it would be strongly recommended that the combination of machine learning methods could be more useful in terms of prediction of ESD.

Celiac disease diagnosis: impact of guidelines on medical prescription in France.

PubMed

Pham, Bach Nga; Musset, Lucile; Chyderiotis, Georges; Olsson, Nils Olivier; Fabien, Nicole

2014-08-01

Celiac disease is a complex autoimmune disease affecting patients of any age, who may present a wide variety of clinical manifestations. Different guidelines for the diagnosis and management of celiac disease have been recently published. The aim of this study was to determine whether the recommendations issued in these guidelines have been adopted by physicians in France when celiac disease was suspected. A total of 5521 physicians were asked to fill in a detailed questionnaire on diagnosing celiac disease to evaluate their medical practice, as to the type of symptoms leading to the suspicion of celiac disease, the prescription of duodenal biopsy or serological tests, the type of serological tests (anti-tissue transglutaminase, anti-endomysium, anti-gliadin and anti-reticulin antibodies, total immunoglobulin A measurement) prescribed to diagnose celiac disease. The analysis of the responses of 256 general practitioners (GPs), 221 gastroenterologists and 227 pediatricians showed that the protean clinical presentations of celiac disease might be better recognized by gastroenterologists and pediatricians than by GPs. Gastroenterologists asked for duodenal biopsy much more often than GPs and pediatricians when celiac disease was suspected. Serological testing and knowledge of critical markers, prescribed to diagnose celiac disease, differed among GPs, gastroenterologists and pediatricians. Analysis of medical prescriptions showed that the recommendations for celiac disease diagnosis are not necessarily followed by physicians, emphasizing the fact that the impact of national or international guidelines on medical behavior should be evaluated. © 2014 Chinese Medical Association Shanghai Branch, Chinese Society of Gastroenterology, Renji Hospital Affiliated to Shanghai Jiaotong University School of Medicine and Wiley Publishing Asia Pty Ltd.

Reevaluating Muscle Biopsies in the Diagnosis of Pompe Disease: A Corroborative Report.

PubMed

Genge, Angela; Campbell, Natasha

2016-07-01

Previous reports suggest that although a diagnostic muscle biopsy can confirm the presence of Pompe disease, the absence of a definitive biopsy result does not rule out the diagnosis. In this study, we reviewed patients with a limb-girdle syndrome who demonstrated nonspecific abnormalities of muscle, without evidence of the classical changes of acid maltase deficiency. These patients were rescreened for Pompe disease using dried blood spot (DBS) testing. Twenty-seven patients provided blood samples for the DBS test. Four patients underwent subsequent genetic testing. Genetic analysis demonstrated that one patient tested positive for Pompe disease and one patient had one copy of a pathogenic variant. In conclusion, the ability of a diagnostic muscle biopsy to definitively rule out the presence of Pompe disease is limited. There is a role for a screening DBS in all patients presenting with a limb-girdle syndrome without a clear diagnosis.

Principal component analysis of indocyanine green fluorescence dynamics for diagnosis of vascular diseases

NASA Astrophysics Data System (ADS)

Seo, Jihye; An, Yuri; Lee, Jungsul; Choi, Chulhee

2015-03-01

Indocyanine green (ICG), a near-infrared fluorophore, has been used in visualization of vascular structure and non-invasive diagnosis of vascular disease. Although many imaging techniques have been developed, there are still limitations in diagnosis of vascular diseases. We have recently developed a minimally invasive diagnostics system based on ICG fluorescence imaging for sensitive detection of vascular insufficiency. In this study, we used principal component analysis (PCA) to examine ICG spatiotemporal profile and to obtain pathophysiological information from ICG dynamics. Here we demonstrated that principal components of ICG dynamics in both feet showed significant differences between normal control and diabetic patients with vascula complications. We extracted the PCA time courses of the first three components and found distinct pattern in diabetic patient. We propose that PCA of ICG dynamics reveal better classification performance compared to fluorescence intensity analysis. We anticipate that specific feature of spatiotemporal ICG dynamics can be useful in diagnosis of various vascular diseases.

Predicting clinical diagnosis in Huntington's disease: An imaging polymarker

PubMed Central

Daws, Richard E.; Soreq, Eyal; Johnson, Eileanoir B.; Scahill, Rachael I.; Tabrizi, Sarah J.; Barker, Roger A.; Hampshire, Adam

2018-01-01

Objective Huntington's disease (HD) gene carriers can be identified before clinical diagnosis; however, statistical models for predicting when overt motor symptoms will manifest are too imprecise to be useful at the level of the individual. Perfecting this prediction is integral to the search for disease modifying therapies. This study aimed to identify an imaging marker capable of reliably predicting real‐life clinical diagnosis in HD. Method A multivariate machine learning approach was applied to resting‐state and structural magnetic resonance imaging scans from 19 premanifest HD gene carriers (preHD, 8 of whom developed clinical disease in the 5 years postscanning) and 21 healthy controls. A classification model was developed using cross‐group comparisons between preHD and controls, and within the preHD group in relation to “estimated” and “actual” proximity to disease onset. Imaging measures were modeled individually, and combined, and permutation modeling robustly tested classification accuracy. Results Classification performance for preHDs versus controls was greatest when all measures were combined. The resulting polymarker predicted converters with high accuracy, including those who were not expected to manifest in that time scale based on the currently adopted statistical models. Interpretation We propose that a holistic multivariate machine learning treatment of brain abnormalities in the premanifest phase can be used to accurately identify those patients within 5 years of developing motor features of HD, with implications for prognostication and preclinical trials. Ann Neurol 2018;83:532–543 PMID:29405351

Diagnosis and management of chronic lung disease in deployed military personnel.

PubMed

Morris, Michael J; Lucero, Pedro F; Zanders, Thomas B; Zacher, Lisa L

2013-08-01

Military personnel are a unique group of individuals referred to the pulmonary physician for evaluation. Despite accession standards that limit entrance into the military for individuals with various pre-existing lung diseases, the most common disorders found in the general population such as asthma and chronic obstructive pulmonary disease remain frequently diagnosed. Military personnel generally tend to be a more physically fit population who are required to exercise on a regular basis and as such may have earlier presentations of disease than their civilian counterparts. Exertional dyspnea is a common complaint; establishing a diagnosis may be challenging given the subtle nature of symptoms and lack of specificity with pulmonary function testing. The conflicts over the past 10 years in Iraq and Afghanistan have also given rise to new challenges for deployed military. Various respiratory hazards in the deployed environment include suspended geologic dusts, burn pits, vehicle exhaust emissions, industrial air pollution, and isolated exposure incidents and may give rise to both acute respiratory symptoms and chronic lung disease. In the evaluation of deployed military personnel, establishing the presence of actual pulmonary disease and the relationship of existing disease to deployment is an ongoing issue to both military and civilian physicians. This paper reviews the current evidence for chronic lung disease in the deployed military population and addresses any differences in diagnosis and management.

[Analysis of qualifications of medical and health institutions and certified doctors for providing occupational disease diagnosis in China].

PubMed

Wang, Huan-qiang; Li, Tao; Qi, Fang; Wu, Rui; Nie, Wu; Yu, Chen

2013-10-01

To investigate the qualifications and current situations of the medical and health institutions and certified doctors for providing occupational disease diagnosis in China and to provide a reference for developing relevant policies. Work reports and questionnaires survey were used to investigate the qualifications of all medical and health institutions and certified doctors for providing occupational disease diagnosis in China and their acceptance and diagnosis of occupational disease cases from 2006 to 2010. The rate for the work reports was 100%, and the response rate for the questionnaires was 71.0%. By the end of 2010, in the 31 provincial-level regions (excluding Hong Kong, Macao, and Taiwan) in China, there had been 503 medical and health institutions which were qualified for providing occupational disease diagnosis, including 207 centers for disease control and prevention, accounting for 41.2%, 145 general hospitals, accounting for 28.8%, 69 enterprise-owned hospitals, accounting for 13.7%, and 64 institutes or centers for occupational disease prevention and control, accounting for 12.7%; 4986 certified doctors got the qualification for providing occupational disease diagnosis, with 9.4 certified doctors on average in each institution, and there was 0.65 certified doctor per 100 000 employees. In addition, 16.5% of the institutions got all the qualifications for diagnosing 9 occupational diseases, and 17.1% of the institutions got the qualification for diagnosing one occupational disease. Each certified doctor accepted diagnosis of 16.8 cases of occupational diseases on average every year. A national occupational disease diagnosis network has been established in China, but the imbalance in regional distribution and specialty programs still exists among the qualified medical and health institutions and certified doctors. It is essential to further strengthen the development of regional qualified medical and health institutions and training of qualified

Multiparametric plasma EV profiling facilitates diagnosis of pancreatic malignancy.

PubMed

Yang, Katherine S; Im, Hyungsoon; Hong, Seonki; Pergolini, Ilaria; Del Castillo, Andres Fernandez; Wang, Rui; Clardy, Susan; Huang, Chen-Han; Pille, Craig; Ferrone, Soldano; Yang, Robert; Castro, Cesar M; Lee, Hakho; Del Castillo, Carlos Fernandez; Weissleder, Ralph

2017-05-24

Pancreatic ductal adenocarcinoma (PDAC) is usually detected late in the disease process. Clinical workup through imaging and tissue biopsies is often complex and expensive due to a paucity of reliable biomarkers. We used an advanced multiplexed plasmonic assay to analyze circulating tumor-derived extracellular vesicles (tEVs) in more than 100 clinical populations. Using EV-based protein marker profiling, we identified a signature of five markers (PDAC EV signature) for PDAC detection. In our prospective cohort, the accuracy for the PDAC EV signature was 84% [95% confidence interval (CI), 69 to 93%] but only 63 to 72% for single-marker screening. One of the best markers, GPC1 alone, had a sensitivity of 82% (CI, 60 to 95%) and a specificity of 52% (CI, 30 to 74%), whereas the PDAC EV signature showed a sensitivity of 86% (CI, 65 to 97%) and a specificity of 81% (CI, 58 to 95%). The PDAC EV signature of tEVs offered higher sensitivity, specificity, and accuracy than the existing serum marker (CA 19-9) or single-tEV marker analyses. This approach should improve the diagnosis of pancreatic cancer. Copyright © 2017, American Association for the Advancement of Science.

Preclinical diagnosis of Alzheimer’s disease: Prevention or prediction?

PubMed Central

Nitrini, Ricardo

2010-01-01

The diagnosis of Alzheimer’s disease (AD) for cases with dementia may be too late to allow effective treatment. Criteria for diagnosis of preclinical AD suggested by the Alzheimer’s Association include the use of molecular and structural biomarkers. Preclinical diagnosis will enable testing of new drugs and forms of treatment toward achieving successful preventive treatment. But what are the advantages for the individual? To know that someone who is cognitively normal is probably going to develop AD’s dementia when there is no effective preventive treatment is definitely not good news. A research method whereby volunteers are assigned to receive treatment or placebo without knowing whether they are in the control or at-risk arm of a trial would overcome this potential problem. If these new criteria are used wisely they may represent a relevant milestone in the search for a definitive treatment for AD. PMID:29213696

Dry eye disease: pathophysiology, classification, and diagnosis.

PubMed

Perry, Henry D

2008-04-01

Dry eye disease (DED) is a multifactorial disorder of the tear film and ocular surface that results in eye discomfort, visual disturbance, and often ocular surface damage. Although recent research has made progress in elucidating DED pathophysiology, currently there are no uniform diagnostic criteria. This article discusses the normal anatomy and physiology of the lacrimal functional unit and the tear film; the pathophysiology of DED; DED etiology, classification, and risk factors; and DED diagnosis, including symptom assessment and the roles of selected diagnostic tests.

Development of a Dry-Reagent-Based qPCR to Facilitate the Diagnosis of Mycobacterium ulcerans Infection in Endemic Countries

PubMed Central

Babonneau, Jérémie; Bernard, Christian; Marion, Estelle; Chauty, Annick; Kempf, Marie; Robert, Raymond; Marsollier, Laurent

2015-01-01

Background Buruli ulcer is a neglected tropical disease caused by Mycobacterium ulcerans. This skin disease is the third most common mycobacterial disease and its rapid diagnosis and treatment are necessary. Polymerase chain reaction (PCR) is considered to be the most sensitive method for the laboratory confirmation of Buruli ulcer. However, PCR remains expensive and involves reagents unsuitable for use in tropical countries with poor storage conditions, hindering the development of reliable quantitative PCR (qPCR) diagnosis. We aimed to overcome this problem by developing a ready-to-use dry qPCR mix for the diagnosis of M. ulcerans infection. Methodology/Principal Findings We compared the efficiency of three different dry qPCR mixes, lyophilized with various concentrations of cryoprotectants, with that of a freshly prepared mixture, for the detection of a standard range of M. ulcerans DNA concentrations. We evaluated the heat resistance of the dry mixes, comparing them with the fresh mix after heating. We also evaluated one of the dry mixes in field conditions, by analyzing 93 specimens from patients with suspected Buruli ulcers. The dry mix was (i) highly resistant to heat; (ii) of similar sensitivity and efficiency to the fresh mix and (iii) easier to use than the fresh mix. Conclusions Dry qPCR mixes are suitable for use in the diagnosis of M. ulcerans infection in endemic countries. The user-friendly format of this mix makes it possible for untrained staff to perform diagnostic tests with a limited risk of contamination. The possibility of using this mix in either vial or strip form provides considerable flexibility for the management of small or large amounts of sample. Thus, dry-mix qPCR could be used as a reliable tool for the diagnosis of Buruli ulcer in the field. PMID:25830546

Diagnosis, treatment, and prevention of Lyme disease in children.

PubMed

Eppes, Stephen C

2003-01-01

The approaches to diagnosing and treating Lyme disease (LD) have been improved and refined as a result of basic and clinical research, and considerable practical experience. In addition, there have been recent studies that have allowed improvements in the ability to prevent infection with Borrelia burgdorferi. This paper will review the relevant literature and address recent developments in the diagnosis, treatment, and prevention of LD. Issues specifically related to the management of children will be identified. Controversies regarding treatment approaches will be examined in some detail. Understanding the clinical manifestations, or stage, of LD is crucial when approaching both diagnosis and treatment. Early localized disease is best diagnosed by recognizing the characteristic skin lesion, erythema migrans. Early disease will frequently, but not always, be accompanied by a detectable antibody response, particularly IgM antibody to the spirochete. Late disease, chiefly arthritis, is generally associated with high levels of IgG antibody. Western blot technology allows confirmation of enzyme immunoassay results and is especially useful when the latter is in the low or equivocal range. Early localized disease responds well to oral antibacterial therapy. Early disseminated disease, often associated with neurologic findings, may require parenteral therapy. The arthritis associated with LD frequently responds to oral antibacterials, but some refractory cases may require intravenous therapy, and occasionally surgery. Doxycycline is the oral antibacterial of choice, while amoxicillin and cefuroxime axetil are alternatives that may be preferred in young children. Owing to its long half-life and once daily dose administration, intravenous ceftriaxone has become the accepted standard for parenteral therapy. Tick avoidance has long been the mainstay for preventing LD. Antibacterial prophylaxis, using doxycycline, for tick bites has been shown to be an effective approach to

In vivo diagnosis of allergic diseases--allergen provocation tests.

PubMed

Agache, I; Bilò, M; Braunstahl, G-J; Delgado, L; Demoly, P; Eigenmann, P; Gevaert, P; Gomes, E; Hellings, P; Horak, F; Muraro, A; Werfel, T; Jutel, M

2015-04-01

The allergen challenge test has been the mainstay of diagnosis of allergic diseases for a long time since it offers a direct proof of the clinical relevance of a particular allergen for the allergic disease symptoms and severity. Standardisation and availability for daily practice (including safety issues) are still to be refined but most of the challenge tests have safely crossed the border from research tools to diagnostic tests available for daily practice for a well trained clinical staff. © 2015 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

Breath Analysis in Disease Diagnosis: Methodological Considerations and Applications

PubMed Central

Lourenço, Célia; Turner, Claire

2014-01-01

Breath analysis is a promising field with great potential for non-invasive diagnosis of a number of disease states. Analysis of the concentrations of volatile organic compounds (VOCs) in breath with an acceptable accuracy are assessed by means of using analytical techniques with high sensitivity, accuracy, precision, low response time, and low detection limit, which are desirable characteristics for the detection of VOCs in human breath. “Breath fingerprinting”, indicative of a specific clinical status, relies on the use of multivariate statistics methods with powerful in-built algorithms. The need for standardisation of sample collection and analysis is the main issue concerning breath analysis, blocking the introduction of breath tests into clinical practice. This review describes recent scientific developments in basic research and clinical applications, namely issues concerning sampling and biochemistry, highlighting the diagnostic potential of breath analysis for disease diagnosis. Several considerations that need to be taken into account in breath analysis are documented here, including the growing need for metabolomics to deal with breath profiles. PMID:24957037

DIMETER: A Haptic Master Device for Tremor Diagnosis in Neurodegenerative Diseases

PubMed Central

González, Roberto; Barrientos, Antonio; del Cerro, Jaime; Coca, Benito

2014-01-01

In this study, a device based on patient motion capture is developed for the reliable and non-invasive diagnosis of neurodegenerative diseases. The primary objective of this study is the classification of differential diagnosis between Parkinson's disease (PD) and essential tremor (ET). The DIMETER system has been used in the diagnoses of a significant number of patients at two medical centers in Spain. Research studies on classification have primarily focused on the use of well-known and reliable diagnosis criteria developed by qualified personnel. Here, we first present a literature review of the methods used to detect and evaluate tremor; then, we describe the DIMETER device in terms of the software and hardware used and the battery of tests developed to obtain the best diagnoses. All of the tests are classified and described in terms of the characteristics of the data obtained. A list of parameters obtained from the tests is provided, and the results obtained using multilayer perceptron (MLP) neural networks are presented and analyzed. PMID:24608001

Diagnosis and treatment of gastroesophageal reflux disease complicated by Barrett's esophagus.

PubMed

Stasyshyn, Andriy

2017-08-31

The aim of the study was to evaluate the effectiveness of a diagnostic and therapeutic algorithm for gastroesophageal reflux disease complicated by Barrett's esophagus in 46 patients. A diagnostic and therapeutic algorithm for complicated GERD was developed. To describe the changes in the esophagus with reflux esophagitis, the Los Angeles classification was used. Intestinal metaplasia of the epithelium in the lower third of the esophagus was assessed using videoendoscopy, chromoscopy, and biopsy. Quality of life was assessed with the Gastro-Intestinal Quality of Life Index. The used methods were modeling, clinical, analytical, comparative, standardized, and questionnaire-based. Results and their discussion. Among the complications of GERD, Barrett's esophagus was diagnosed in 9 (19.6 %), peptic ulcer in the esophagus in 10 (21.7 %), peptic stricture of the esophagus in 4 (8.7 %), esophageal-gastric bleeding in 23 (50.0 %), including Malory-Weiss syndrome in 18, and erosive ulcerous bleeding in 5 people. Hiatal hernia was diagnosed in 171 (87.7 %) patients (sliding in 157 (91.8%), paraesophageal hernia in 2 (1.2%), and mixed hernia in 12 (7.0%) cases). One hundred ninety-five patients underwent laparoscopic surgery. Nissen fundoplication was conducted in 176 (90.2%) patients, Toupet fundoplication in 14 (7.2%), and Dor fundoplication in 5 (2.6%). It was established that the use of the diagnostic and treatment algorithm promoted systematization and objectification of changes in complicated GERD, contributed to early diagnosis, helped in choosing treatment, and improved quality of life. Argon coagulation and use of PPIs for 8-12 weeks before surgery led to the regeneration of the mucous membrane in the esophagus. The developed diagnostic and therapeutic algorithm facilitated systematization and objectification of changes in complicated GERD, contributed to early diagnosis, helped in choosing treatment, and improved quality of life.

Celiac disease: Prevalence, diagnosis, pathogenesis and treatment

PubMed Central

Gujral, Naiyana; Freeman, Hugh J; Thomson, Alan BR

2012-01-01

Celiac disease (CD) is one of the most common diseases, resulting from both environmental (gluten) and genetic factors [human leukocyte antigen (HLA) and non-HLA genes]. The prevalence of CD has been estimated to approximate 0.5%-1% in different parts of the world. However, the population with diabetes, autoimmune disorder or relatives of CD individuals have even higher risk for the development of CD, at least in part, because of shared HLA typing. Gliadin gains access to the basal surface of the epithelium, and interact directly with the immune system, via both trans- and para-cellular routes. From a diagnostic perspective, symptoms may be viewed as either “typical” or “atypical”. In both positive serological screening results suggestive of CD, should lead to small bowel biopsy followed by a favourable clinical and serological response to the gluten-free diet (GFD) to confirm the diagnosis. Positive anti-tissue transglutaminase antibody or anti-endomysial antibody during the clinical course helps to confirm the diagnosis of CD because of their over 99% specificities when small bowel villous atrophy is present on biopsy. Currently, the only treatment available for CD individuals is a strict life-long GFD. A greater understanding of the pathogenesis of CD allows alternative future CD treatments to hydrolyse toxic gliadin peptide, prevent toxic gliadin peptide absorption, blockage of selective deamidation of specific glutamine residues by tissue, restore immune tolerance towards gluten, modulation of immune response to dietary gliadin, and restoration of intestinal architecture. PMID:23155333

Anti-p53 antibodies in sera from patients with chronic obstructive pulmonary disease can predate a diagnosis of cancer.

PubMed

Trivers, G E; De Benedetti, V M; Cawley, H L; Caron, G; Harrington, A M; Bennett, W P; Jett, J R; Colby, T V; Tazelaar, H; Pairolero, P; Miller, R D; Harris, C C

1996-10-01

Serum anti-p53 antibodies (p53-Abs) may be surrogate markers for both p53 alterations and preclinical cancer. Ancillary to a prospective trial to abate progressive development of clinical stages of chronic obstructive pulmonary disease, we conducted a retrospective, nested case-control study. Twenty-three cases were diagnosed with cancer during the trial. Enzyme immunoassay, immunoblotting, and immunoprecipitation were used to detect p53-Abs in serum, immunohistochemistry (IHC) to detect p53 accumulation, and single-strand conformation polymorphism and DNA sequencing to detect p53 mutations in tumor samples. p53-Abs were detected by three types of assays in five (23%) of the cancer patients, 80% of whom had detectable p53-Abs before diagnosis: 2 lung cancers (7 and 6 months before), 1 prostate cancer (11 months), and 1 breast cancer (5 months). Four Ab-positive patients had IHC-positive tumors. Two of 4 Ab-positive patients and 2 of 14 Ab-negative had p53 missense mutations or base pair deletion and IHC-positive tumors. The 44 noncancer COPD controls, matched with the cancer cases for age, gender, and smoking habits, were negative for p53-Abs. These results indicate that p53-Abs may facilitate the early diagnosis of cancer in a subset of smokers with chronic obstructive pulmonary disease who are at an increased cancer risk.

Non-perforated peptic ulcer disease: multidetector CT findings, complications, and differential diagnosis.

PubMed

Tonolini, Massimo; Ierardi, Anna Maria; Bracchi, Elena; Magistrelli, Paolo; Vella, Adriana; Carrafiello, Gianpaolo

2017-10-01

Despite availability of effective therapies, peptic ulcer disease (PUD) remains a major global disease, resulting from a combination of persistent Helicobacter pylori infection and widespread use of nonsteroidal anti-inflammatory drugs. Albeit endoscopy definitely represents the mainstay diagnostic technique, patients presenting to emergency departments with unexplained abdominal pain generally undergo multidetector CT as an initial investigation. Although superficial ulcers generally remain inconspicuous, careful multiplanar CT interpretation may allow to detect deep ulcers, secondary mural and extraluminal signs of peptic gastroduodenitis, thereby allowing timely endoscopic verification and appropriate treatment. This pictorial essay aims to provide radiologists with an increased familiarity with CT diagnosis of non-perforated PUD, with emphasis on differential diagnosis. Following an overview of current disease epidemiology and complications, it explains the appropriate CT acquisition and interpretation techniques, and reviews with several examples the cross-sectional findings of uncomplicated PUD. Afterwards, the CT features of PUD complications such as ulcer haemorrhage, gastric outlet obstruction, biliary and pancreatic fistulisation are presented. • Gastric and duodenal peptic ulcers are increasingly caused by nonsteroidal anti-inflammatory drugs • Multiplanar CT interpretation allows detecting deep ulcers and secondary signs of gastroduodenitis • CT diagnosis of uncomplicated peptic disease relies on direct and indirect signs • Currently the commonest complication, haemorrhage may be treated with transarterial embolisation • Other uncommon complications include gastric outlet obstruction and biliopancreatic fistulisation.

Celiac disease in Saudi children. Evaluation of clinical features and diagnosis.

PubMed

Saeed, Anjum; Assiri, Asaad; Assiri, Hebah; Ullah, Anhar; Rashid, Mohsin

2017-09-01

 Objectives: To characterize the clinical presentations and diagnosis including serological tests and histopathological findings in children with celiac disease. Methods: All children (less than 18 years) with confirmed celiac disease diagnosed over a 6 year period at a private tertiary care health care center in Riyadh,  Saudi Arabia were studied retrospectively. Information collected included demographics, clinical presentation and diagnostic modalities with serology and small intestinal histology reported by Marsh grading. Results: A total of 59 children had confirmed celiac disease. Thirty (50.8%) were male. Median age was 8 years (range 1 to 16 years). The mean duration of symptoms before diagnosis was 2.3 (±1.5) years. Classical disease was present only in 30.5%, whereas 69.5% had either non-classical presentations or belonged to high risk groups for celiac disease such as those with type-1 diabetes, autoimmune thyroiditis, Down syndrome and siblings. Failure to thrive was the most common presentation followed by short stature, abdominal pain and chronic diarrhea. Anti-tissue transglutaminase antibody was positive in 91.5%, and titers were no different between those with classical and non-classical disease. All had Marsh-graded biopsy findings consistent with celiac disease. Conclusion: Children with celiac disease usually present with non-classical features. A high index of suspicion needs to be maintained to consider this disorder in the diagnostic workup of pediatric patients. High risk group should be screened early to avoid complications associated with untreated celiac disease.

Referral Patterns, Diagnosis, and Disease Management of Patients With Axial Spondyloarthritis

PubMed Central

van der Heijde, Désirée; Sieper, Joachim; Elewaut, Dirk; Deodhar, Atul; Pangan, Aileen L.; Dorr, Alexander P.

2014-01-01

Background Recognition, diagnosis, and management of axial spondyloarthritis (axial SpA) continue to advance. Objectives The objectives of this study were to compare referrals, diagnosis, and management of axial SpA in Western Europe (WE), North America (US and Canada), and the rest of world (RoW) in academic and community rheumatology practices and to identify areas for further education. Methods Rheumatologists responded online to the MAXIMA (Management of Axial SpA International and Multicentric Approaches) survey. Questions pertained to referral, diagnosis, and management of axial SpA. Results Rheumatologists (N = 809) from 56 countries completed the survey about patients with chronic back pain (≥3 months) starting before age 45 years. Responses from academic and community practice rheumatologists were generally similar. Most referrals were from primary care providers. Symptom duration of 3 years or more at referral was reported more frequently by WE and RoW than US respondents. More WE and RoW than US rheumatologists referred to the Assessment of SpondyloArthritis International Society criteria for axial SpA in clinical practice. Rheumatologists reported prescribing disease-modifying antirheumatic drugs for the management of axial SpA. Sulfasalazine was frequently prescribed across regions; methotrexate was more commonly prescribed by US rheumatologists compared with other regions. Conclusions Referral patterns, diagnosis, and disease management for axial SpA were similar among WE, North America, and RoW rheumatologists and in academic/community practices, although more WE and RoW rheumatologists referred to Assessment of SpondyloArthritis International Society criteria in clinical practice. Disease-modifying antirheumatic drugs were commonly prescribed for axial SpA patients, although it was unclear whether these were prescribed for axial or peripheral symptoms. PMID:25417676

Diagnosis and Treatment of Nontuberculous Mycobacterial Lung Disease.

PubMed

Kwon, Yong-Soo; Koh, Won-Jung

2016-05-01

Nontuberculous mycobacteria (NTM) are ubiquitous organisms; their isolation from clinical specimens does not always indicate clinical disease. The incidence of NTM lung diseases has been increasing worldwide. Although the geographic diversity of NTM species is well known, Mycobacterium avium complex (MAC), M. abscessus complex (MABC), and M. kansasii are the most commonly encountered and important etiologic organisms. Two distinct types of NTM lung diseases have been reported, namely fibrocavitary and nodular bronchiectatic forms. For laboratory diagnosis of NTM lung diseases, both liquid and solid media cultures and species-level identification are strongly recommended to enhance growth detection and determine the clinical relevance of isolates. Treatment for NTM lung diseases consists of a multidrug regimen and a long course of therapy, lasting more than 12 months after negative sputum conversion. For MAC lung disease, several new macrolide-based regimens are now recommended. For nodular bronchiectatic forms of MAC lung diseases, an intermittent three-time-weekly regimen produces outcomes similar to those of daily therapy. Treatment of MABC lung disease is very difficult, requiring long-term use of parenteral agents in combination with new macrolides. Treatment outcomes are much better for M. massiliense lung disease than for M. abscessus lung disease. Thus, precise identification of species in MABC infection is needed for the prediction of antibiotic response. Likewise, increased efforts to improve treatment outcomes and develop new agents for NTM lung disease are needed.

Rheumatic diseases of the spine: imaging diagnosis.

PubMed

Narváez, J A; Hernández-Gañán, J; Isern, J; Sánchez-Fernández, J J

2016-04-01

Spinal involvement is common both in the spondyloarthritides and in rheumatoid arthritis, in which the cervical segment is selectively affected. Rheumatoid involvement of the cervical spine has characteristic radiologic manifestations, fundamentally different patterns of atlantoaxial instability. Magnetic resonance imaging (MRI) is the technique of choice for evaluating the possible repercussions of atlantoaxial instability on the spinal cord and/or nerve roots in patients with rheumatoid arthritis as well as for evaluating parameters indicative of active inflammation, such as bone edema and synovitis. Axial involvement is characteristic in the spondyloarthritides and has distinctive manifestations on plain-film X-rays, which reflect destructive and reparative phenomena. The use of MRI has changed the conception of spondyloarthritis because it is able to directly detect the inflammatory changes that form part of the disease, making it possible to establish the diagnosis early in the disease process, when plain-film X-ray findings are normal (non-radiographic axial spondyloarthritis), to assess the prognosis of the disease, and to contribute to treatment planning. Copyright © 2016 SERAM. Published by Elsevier España, S.L.U. All rights reserved.

Detection of longitudinal ulcer using roughness value for computer aided diagnosis of Crohn's disease

NASA Astrophysics Data System (ADS)

Oda, Masahiro; Kitasaka, Takayuki; Furukawa, Kazuhiro; Watanabe, Osamu; Ando, Takafumi; Goto, Hidemi; Mori, Kensaku

2011-03-01

The purpose of this paper is to present a new method to detect ulcers, which is one of the symptoms of Crohn's disease, from CT images. Crohn's disease is an inflammatory disease of the digestive tract. Crohn's disease commonly affects the small intestine. An optical or a capsule endoscope is used for small intestine examinations. However, these endoscopes cannot pass through intestinal stenosis parts in some cases. A CT image based diagnosis allows a physician to observe whole intestine even if intestinal stenosis exists. However, because of the complicated shape of the small and large intestines, understanding of shapes of the intestines and lesion positions are difficult in the CT image based diagnosis. Computer-aided diagnosis system for Crohn's disease having automated lesion detection is required for efficient diagnosis. We propose an automated method to detect ulcers from CT images. Longitudinal ulcers make rough surface of the small and large intestinal wall. The rough surface consists of combination of convex and concave parts on the intestinal wall. We detect convex and concave parts on the intestinal wall by a blob and an inverse-blob structure enhancement filters. A lot of convex and concave parts concentrate on roughed parts. We introduce a roughness value to differentiate convex and concave parts concentrated on the roughed parts from the other on the intestinal wall. The roughness value effectively reduces false positives of ulcer detection. Experimental results showed that the proposed method can detect convex and concave parts on the ulcers.

Future methods for the diagnosis of inflammatory bowel disease.

PubMed

Aggio, Raphael; Probert, Chris

2014-01-01

The diagnosis of inflammatory bowel disease (IBD) remains a challenge for clinicians, and patients. Clinical suspicion of these disorders leads to a diagnostic pathway that may include stool testing, colonoscopy, radiological tests and capsule examinations. This workup is unpleasant, embarrassing, painful and occasionally dangerous. Alternative means of diagnosing IBD are being explored. Genetic testing and serology have not been found to be sufficiently specific or sensitive to be used for diagnosis. Faecal markers, however, have demonstrated some potential. Faecal lactoferrin and calprotectin may be used to differentiate IBD from non-inflammatory disorders and these tests are now commonly used, with support from the National Institute for Health and Care Excellence. Recent research has focused upon volatile organic compounds emitted from bodily fluids, including faeces, urine and breath. Headspace gas from faeces or urine may be analysed by gas chromatography/mass spectrometry. Models have been built based on these compounds to enable Crohn's disease and ulcerative colitis to be distinguished from irritable bowel syndrome (IBS) and from healthy controls. Similar work has found that headspace gases from urine may be used to diagnose IBS. Faecal samples are relatively easy to obtain, but patients dislike collecting samples, so a urinary test is an attractive alternative. Early data from breath samples also show potential and will be presented. Non-invasive diagnosis of IBD is becoming a reality that will save patients from discomfort, embarrassment and risk, and may mean significant savings for healthcare providers. © 2014 S. Karger AG, Basel.

Lyme disease and Bell’s palsy: an epidemiological study of diagnosis and risk in England

PubMed Central

Cooper, Lilli; Branagan-Harris, Michael; Tuson, Richard; Nduka, Charles

2017-01-01

Background Lyme disease is caused by a tick-borne spirochaete of the Borrelia species. It is associated with facial palsy, is increasingly common in England, and may be misdiagnosed as Bell’s palsy. Aim To produce an accurate map of Lyme disease diagnosis in England and to identify patients at risk of developing associated facial nerve palsy, to enable prevention, early diagnosis, and effective treatment. Design and setting Hospital episode statistics (HES) data in England from the Health and Social Care Information Centre were interrogated from April 2011 to March 2015 for International Classification of Diseases 10th revision (ICD-10) codes A69.2 (Lyme disease) and G51.0 (Bell’s palsy) in isolation, and as a combination. Method Patients’ age, sex, postcode, month of diagnosis, and socioeconomic groups as defined according to the English Indices of Deprivation (2004) were also collected. Results Lyme disease hospital diagnosis increased by 42% per year from 2011 to 2015 in England. Higher incidence areas, largely rural, were mapped. A trend towards socioeconomic privilege and the months of July to September was observed. Facial palsy in combination with Lyme disease is also increasing, particularly in younger patients, with a mean age of 41.7 years, compared with 59.6 years for Bell’s palsy and 45.9 years for Lyme disease (P = 0.05, analysis of variance [ANOVA]). Conclusion Healthcare practitioners should have a high index of suspicion for Lyme disease following travel in the areas shown, particularly in the summer months. The authors suggest that patients presenting with facial palsy should be tested for Lyme disease. PMID:28396367

Differential Diagnosis of Erythmato-Squamous Diseases Using Classification and Regression Tree

PubMed Central

Maghooli, Keivan; Langarizadeh, Mostafa; Shahmoradi, Leila; Habibi-koolaee, Mahdi; Jebraeily, Mohamad; Bouraghi, Hamid

2016-01-01

Introduction: Differential diagnosis of Erythmato-Squamous Diseases (ESD) is a major challenge in the field of dermatology. The ESD diseases are placed into six different classes. Data mining is the process for detection of hidden patterns. In the case of ESD, data mining help us to predict the diseases. Different algorithms were developed for this purpose. Objective: we aimed to use the Classification and Regression Tree (CART) to predict differential diagnosis of ESD. Methods: we used the Cross Industry Standard Process for Data Mining (CRISP-DM) methodology. For this purpose, the dermatology data set from machine learning repository, UCI was obtained. The Clementine 12.0 software from IBM Company was used for modelling. In order to evaluation of the model we calculate the accuracy, sensitivity and specificity of the model. Results: The proposed model had an accuracy of 94.84% ( Standard Deviation: 24.42) in order to correct prediction of the ESD disease. Conclusions: Results indicated that using of this classifier could be useful. But, it would be strongly recommended that the combination of machine learning methods could be more useful in terms of prediction of ESD. PMID:28077889

NGS Technologies as a Turning Point in Rare Disease Research, Diagnosis and Treatment

PubMed Central

Fernández-Marmiesse, Ana; Gouveia, Sofía; Couce, María L.

2018-01-01

Approximately 25-50 million Americans, 30 million Europeans, and 8% of the Aus-tralian population have a rare disease. Rare diseases are thus a common problem for clini-cians and account for enormous healthcare costs worldwide due to the difficulty of establish-ing a specific diagnosis. In this article, we review the milestones achieved in our understanding of rare diseases since the emergence of next-generation sequencing (NGS) technologies and analyze how these advances have influenced research and diagnosis. The first half of this review describes how NGS has changed diagnostic workflows and provided an unprecedent-ed, simple way of discovering novel disease-associated genes. We focus particularly on meta-bolic and neurodevelopmental disorders. NGS has enabled cheap and rapid genetic diagnosis, highlighted the relevance of mosaic and de novo mutations, brought to light the wide pheno-typic spectrum of most genes, detected digenic inheritance or the presence of more than one rare disease in the same patient, and paved the way for promising new therapies. In the sec-ond part of the review, we look at the limitations and challenges of NGS, including determina-tion of variant causality, the loss of variants in coding and non-coding regions, and the detec-tion of somatic mosaicism variants and epigenetic mutations, and discuss how these can be overcome in the near future. PMID:28721829

NGS Technologies as a Turning Point in Rare Disease Research , Diagnosis and Treatment.

PubMed

Fernandez-Marmiesse, Ana; Gouveia, Sofia; Couce, Maria L

2018-01-30

Approximately 25-50 million Americans, 30 million Europeans, and 8% of the Australian population have a rare disease. Rare diseases are thus a common problem for clinicians and account for enormous healthcare costs worldwide due to the difficulty of establishing a specific diagnosis. In this article, we review the milestones achieved in our understanding of rare diseases since the emergence of next-generation sequencing (NGS) technologies and analyze how these advances have influenced research and diagnosis. The first half of this review describes how NGS has changed diagnostic workflows and provided an unprecedented, simple way of discovering novel disease-associated genes. We focus particularly on metabolic and neurodevelopmental disorders. NGS has enabled cheap and rapid genetic diagnosis, highlighted the relevance of mosaic and de novo mutations, brought to light the wide phenotypic spectrum of most genes, detected digenic inheritance or the presence of more than one rare disease in the same patient, and paved the way for promising new therapies. In the second part of the review, we look at the limitations and challenges of NGS, including determination of variant causality, the loss of variants in coding and non-coding regions, and the detection of somatic mosaicism variants and epigenetic mutations, and discuss how these can be overcome in the near future. Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.org.

The Challenges of Prevention, Diagnosis and Treatment of Ischemic Heart Disease in Women

PubMed Central

Brewer, LaPrincess C.; Svatikova, Anna

2017-01-01

Increasing evidence suggests that there are significant differences in the presentation, diagnosis and treatment of ischemic heart disease in women compared to men. Women often present with atypical symptoms, and this, in association with a consistent underestimation of their risk for ischemic heart disease, leads to underdiagnosis and undertreatment in women. Cardiovascular risk factors unique to women have only recently been recognized, and moreover, traditional risk factors have recently been shown to have greater impacts on women. Consequently, women suffer more disability and poorer clinical outcomes, with higher cardiovascular morbidity and mortality. These discrepancies may in part be secondary to the higher prevalence of nonobstructive coronary artery disease in women with persistent chest pain symptoms as compared to men when evaluated invasively. Focused diagnostic and therapeutic strategies unique to women are thus needed, but unfortunately, such sex-specific guidelines do not yet exist, largely due to lack of awareness, both on the part of providers and patients, as well as a paucity of evidence-based research specific to women. Although underutilized in women, diagnostic modalities, including functional and anatomic cardiac tests as well as physiologic assessments of endothelial and microvascular function, are useful for establishing the diagnosis and prognosis of suspected ischemic heart disease in women. This review discusses the current challenges of prevention, diagnosis and treatment of ischemic heart disease in women. PMID:26210899

Using the Disease State Fingerprint Tool for Differential Diagnosis of Frontotemporal Dementia and Alzheimer's Disease

PubMed Central

Muñoz-Ruiz, Miguel Ángel; Hall, Anette; Mattila, Jussi; Koikkalainen, Juha; Herukka, Sanna-Kaisa; Husso, Minna; Hänninen, Tuomo; Vanninen, Ritva; Liu, Yawu; Hallikainen, Merja; Lötjönen, Jyrki; Remes, Anne M.; Alafuzoff, Irina; Soininen, Hilkka; Hartikainen, Päivi

2016-01-01

Background Disease State Index (DSI) and its visualization, Disease State Fingerprint (DSF), form a computer-assisted clinical decision making tool that combines patient data and compares them with cases with known outcomes. Aims To investigate the ability of the DSI to diagnose frontotemporal dementia (FTD) and Alzheimer's disease (AD). Methods The study cohort consisted of 38 patients with FTD, 57 with AD and 22 controls. Autopsy verification of FTD with TDP-43 positive pathology was available for 14 and AD pathology for 12 cases. We utilized data from neuropsychological tests, volumetric magnetic resonance imaging, single-photon emission tomography, cerebrospinal fluid biomarkers and the APOE genotype. The DSI classification results were calculated with a combination of leave-one-out cross-validation and bootstrapping. A DSF visualization of a FTD patient is presented as an example. Results The DSI distinguishes controls from FTD (area under the receiver-operator curve, AUC = 0.99) and AD (AUC = 1.00) very well and achieves a good differential diagnosis between AD and FTD (AUC = 0.89). In subsamples of autopsy-confirmed cases (AUC = 0.97) and clinically diagnosed cases (AUC = 0.94), differential diagnosis of AD and FTD performs very well. Conclusions DSI is a promising computer-assisted biomarker approach for aiding in the diagnostic process of dementing diseases. Here, DSI separates controls from dementia and differentiates between AD and FTD. PMID:27703465

Emulation of Physician Tasks in Eye-Tracked Virtual Reality for Remote Diagnosis of Neurodegenerative Disease.

PubMed

Orlosky, Jason; Itoh, Yuta; Ranchet, Maud; Kiyokawa, Kiyoshi; Morgan, John; Devos, Hannes

2017-04-01

For neurodegenerative conditions like Parkinson's disease, early and accurate diagnosis is still a difficult task. Evaluations can be time consuming, patients must often travel to metropolitan areas or different cities to see experts, and misdiagnosis can result in improper treatment. To date, only a handful of assistive or remote methods exist to help physicians evaluate patients with suspected neurological disease in a convenient and consistent way. In this paper, we present a low-cost VR interface designed to support evaluation and diagnosis of neurodegenerative disease and test its use in a clinical setting. Using a commercially available VR display with an infrared camera integrated into the lens, we have constructed a 3D virtual environment designed to emulate common tasks used to evaluate patients, such as fixating on a point, conducting smooth pursuit of an object, or executing saccades. These virtual tasks are designed to elicit eye movements commonly associated with neurodegenerative disease, such as abnormal saccades, square wave jerks, and ocular tremor. Next, we conducted experiments with 9 patients with a diagnosis of Parkinson's disease and 7 healthy controls to test the system's potential to emulate tasks for clinical diagnosis. We then applied eye tracking algorithms and image enhancement to the eye recordings taken during the experiment and conducted a short follow-up study with two physicians for evaluation. Results showed that our VR interface was able to elicit five common types of movements usable for evaluation, physicians were able to confirm three out of four abnormalities, and visualizations were rated as potentially useful for diagnosis.

[A new putative principle for diagnosis of Creutzfeldt-Jakob disease].

PubMed

Sjögren, Magnus; Blennow, Kaj

2002-05-23

Creutzfeldt-Jakob's disease and bovine spongiform encephalitis (BSE) are both prion diseases, i.e., diseases caused by an abnormally folded isoform of cellular prion protein. A variant of Creutzfeldt-Jakob's disease can probably be transmitted from cattle with BSE to humans. To prevent spread of BSE, whole stocks of cattle are destroyed when symptoms of the disease appear. However, this is too late to prevent transmission during the about 5 years long incubation time. A method for presymptomatic diagnosis of BSE is clearly desirable. Miele and colleagues at Roslin Institute in Edinburgh present a potential molecular marker for prion diseases in the March issue of Nature Medicine. It is a dramatically decreased expression of a transcript called erythroid differentiation-related factor (EDRF). This change is detectable early in the course of the disease also in tissues outside the central nervous system, for instance blood.

Diagnosis of gluten related disorders: Celiac disease, wheat allergy and non-celiac gluten sensitivity.

PubMed

Elli, Luca; Branchi, Federica; Tomba, Carolina; Villalta, Danilo; Norsa, Lorenzo; Ferretti, Francesca; Roncoroni, Leda; Bardella, Maria Teresa

2015-06-21

Cereal crops and cereal consumption have had a vital role in Mankind's history. In the recent years gluten ingestion has been linked with a range of clinical disorders. Gluten-related disorders have gradually emerged as an epidemiologically relevant phenomenon with an estimated global prevalence around 5%. Celiac disease, wheat allergy and non-celiac gluten sensitivity represent different gluten-related disorders. Similar clinical manifestations can be observed in these disorders, yet there are peculiar pathogenetic pathways involved in their development. Celiac disease and wheat allergy have been extensively studied, while non-celiac gluten sensitivity is a relatively novel clinical entity, believed to be closely related to other gastrointestinal functional syndromes. The diagnosis of celiac disease and wheat allergy is based on a combination of findings from the patient's clinical history and specific tests, including serology and duodenal biopsies in case of celiac disease, or laboratory and functional assays for wheat allergy. On the other hand, non-celiac gluten sensitivity is still mainly a diagnosis of exclusion, in the absence of clear-cut diagnostic criteria. A multimodal pragmatic approach combining findings from the clinical history, symptoms, serological and histological tests is required in order to reach an accurate diagnosis. A thorough knowledge of the differences and overlap in clinical presentation among gluten-related disorders, and between them and other gastrointestinal disorders, will help clinicians in the process of differential diagnosis.

XBONE: a hybrid expert system for supporting diagnosis of bone diseases.

PubMed

Hatzilygeroudis, I; Vassilakos, P J; Tsakalidis, A

1997-01-01

In this paper, XBONE, a hybrid medical expert system that supports diagnosis of bone diseases is presented. Diagnosis is based on various patient data and is performed in two stages. In the early stage, diagnosis is based on demographic and clinical data of the patient, whereas in the late stage it is mainly based on nuclear medicine image data. Knowledge is represented via an integrated formalism that combines production rules and the Adaline artificial neural unit. Each condition of a rule is assigned a number, called its significance factor, representing its significance in drawing the conclusion of the rule. This results in better representation, reduction of the knowledge base size and gives the system learning capabilities.

Towards the Neuropsychological Diagnosis of Alzheimer's Disease: A Hybrid Model in Decision Making

NASA Astrophysics Data System (ADS)

de Castro, Ana Karoline Araujo; Pinheiro, Placido Rogerio; Pinheiro, Mirian Caliope Dantas

Dementias are syndromes described by a decline in memory and other neuropsychological changes especially occurring in the elderly and increasing exponentially in function of age. Due to this fact and the therapeutical limitations in the most advanced stage of the disease, diagnosis of Alzheimer's disease is extremely important and it can provide better life conditions to patients and their families. This work presents a hybrid model, combining Influence Diagrams and the Multicriteria Method, for aiding to discover, from a battery of tests, which are the most attractive questions, in relation to the stages of CDR (Clinical Dementia Rating) in decision making for the diagnosis of Alzheimer's disease. This disease is the most common dementia. Influence Diagram is implemented using GeNie tool. Next, the judgment matrixes are constructed to obtain cardinal value scales which are implemented through MACBETH Multicriteria Methodology. The modeling and evaluation processes were carried out through a battery of standardized assessments for the evaluation of cases with Alzheimer's disease developed by Consortium to Establish a Registry for Alzheimer's disease (CERAD).

Sniffing out the truth: clinical diagnosis using the electronic nose.

PubMed

Pavlou, A K; Turner, A P

2000-02-01

Recently the use of smell in clinical diagnosis has been rediscovered due to major advances in odour sensing technology and artificial intelligence (AI). It was well known in the past that a number of infectious or metabolic diseases could liberate specific odours characteristic of the disease stage. Later chromatographic techniques identified an enormous number of volatiles in human clinical specimens that might serve as potential disease markers. "Artificial nose" technology has been employed in several areas of medical diagnosis, including rapid detection of tuberculosis (TB), Helicobacter pylori (HP) and urinary tract infections (UTI). Preliminary results have demonstrated the possibility of identifying and characterising microbial pathogens in clinical specimens. A hybrid intelligent model of four interdependent "tools", odour generation "kits", rapid volatile delivery and recovery systems, consistent low drift sensor performance and a hybrid intelligent system of parallel neural networks (NN) and expert systems, have been applied in gastric, pulmonary and urine diagnosis. Initial clinical tests have shown that it may be possible in the near future to use electronic nose technology not only for the rapid detection of diseases such as peptic ulceration, UTI, and TB but also for the continuous dynamic monitoring of disease stages. Major advances in information and gas sensor technology could enhance the diagnostic power of future bio-electronic noses and facilitate global surveillance models of disease control and management.

Biomarkers for early detection of Alzheimer disease.

PubMed

Barber, Robert C

2010-09-01

The existence of an effective biomarker for early detection of Alzheimer disease would facilitate improved diagnosis and stimulate therapeutic trials. Multidisciplinary clinical diagnosis of Alzheimer disease is time consuming and expensive and relies on experts who are rarely available outside of specialty clinics. Thus, many patients do not receive proper diagnosis until the disease has progressed beyond stages in which treatments are maximally effective. In the clinical trial setting, rapid, cost-effective screening of patients for Alzheimer disease is of paramount importance for the development of new treatments. Neuroimaging of cortical amyloid burden and volumetric changes in the brain and assessment of protein concentrations (eg, β-amyloid 1-42, total tau, phosphorylated tau) in cerebrospinal fluid are diagnostic tools that are not widely available. Known genetic markers do not provide sufficient discriminatory power between different forms of dementia to be useful in isolation. Recent studies using panels of biomarkers for diagnosis of Alzheimer disease or mild cognitive impairment have been promising, though no such studies have been cross-validated in independent samples of subjects. The ideal biomarker enabling early detection of Alzheimer disease has not yet been identified.

The role of magnetic resonance imaging in the diagnosis of Parkinson's disease: a review.

PubMed

Al-Radaideh, Ali M; Rababah, Eman M

2016-01-01

Parkinson's disease (PD) is the second most common neurodegenerative disease after Alzheimer's in elderly people. Different structural and functional neuroimaging methods play a great role in the early diagnosis of neurodegenerative diseases. This review discusses the role of magnetic resonance imaging (MRI) in the diagnosis of PD. MRI provides clinicians with structural and functional information of human brain noninvasively. Advanced quantitative MRI techniques have shown promise for detecting pathological changes related to different stages of PD. Collectively, advanced MRI techniques at high and ultrahigh magnetic fields aid in better understanding of the nature and progression of PD. Copyright © 2016 Elsevier Inc. All rights reserved.

Post-mortem diagnosis of chronic Chagas's disease comparative evaluation of three serological tests on pericardial fluid.

PubMed

Lopes, E R; Chapadeiro, E; Batista, S M; Cunha, J G; Rocha, A; Miziara, L; Ribeiro, J U; Patto, R J

1978-01-01

In an attempt to improve the post-mortem diagnosis of Chagas's disease the authors performed haemagglutination tests (HAT), fluorescent Trypanosoma cruzi antibody tests (FAT), and complement fixation tests (CFT) on the pericardial fluid obtained at autopsy of 50 individuals with Chagas's heart disease, and 93 patients in whom this disease was not thought to be present. The results demonstrate that all three tests are efficient for the post-mortem diagnosis of Chagas's disease but suggest that their combined use would detect more cases than would one isolated reaction only.

Association between Age at Diagnosis of Graves' Disease and Variants in Genes Involved in Immune Response

PubMed Central

Jurecka-Lubieniecka, Beata; Ploski, Rafal; Kula, Dorota; Krol, Aleksandra; Bednarczuk, Tomasz; Kolosza, Zofia; Tukiendorf, Andrzej; Szpak-Ulczok, Sylwia; Stanjek-Cichoracka, Anita; Polanska, Joanna; Jarzab, Barbara

2013-01-01

Background Graves' disease (GD) is a complex disease in which genetic predisposition is modified by environmental factors. The aim of the study was to examine the association between genetic variants in genes encoding proteins involved in immune response and the age at diagnosis of GD. Methods 735 GD patients and 1216 healthy controls from Poland were included into the study. Eight genetic variants in the HLA-DRB1, TNF, CTLA4, CD40, NFKb, PTPN22, IL4 and IL10 genes were genotyped. Patients were stratified by the age at diagnosis of GD and the association with genotype was analysed. Results Polymorphism in the HLA-DRB1, TNF and CTLA4 genes were associated with GD. The carriers of the HLA DRB1*03 allele were more frequent in patients with age at GD diagnosis ≤30 years than in patients with older age at GD diagnosis. Conclusions HLADRB1*03 allele is associated with young age at diagnosis of Graves' disease in polish population. PMID:23544060

Diagnosis of Parkinson's disease on the basis of clinical and genetic classification: a population-based modelling study.

PubMed

Nalls, Mike A; McLean, Cory Y; Rick, Jacqueline; Eberly, Shirley; Hutten, Samantha J; Gwinn, Katrina; Sutherland, Margaret; Martinez, Maria; Heutink, Peter; Williams, Nigel M; Hardy, John; Gasser, Thomas; Brice, Alexis; Price, T Ryan; Nicolas, Aude; Keller, Margaux F; Molony, Cliona; Gibbs, J Raphael; Chen-Plotkin, Alice; Suh, Eunran; Letson, Christopher; Fiandaca, Massimo S; Mapstone, Mark; Federoff, Howard J; Noyce, Alastair J; Morris, Huw; Van Deerlin, Vivianna M; Weintraub, Daniel; Zabetian, Cyrus; Hernandez, Dena G; Lesage, Suzanne; Mullins, Meghan; Conley, Emily Drabant; Northover, Carrie A M; Frasier, Mark; Marek, Ken; Day-Williams, Aaron G; Stone, David J; Ioannidis, John P A; Singleton, Andrew B

2015-10-01

Accurate diagnosis and early detection of complex diseases, such as Parkinson's disease, has the potential to be of great benefit for researchers and clinical practice. We aimed to create a non-invasive, accurate classification model for the diagnosis of Parkinson's disease, which could serve as a basis for future disease prediction studies in longitudinal cohorts. We developed a model for disease classification using data from the Parkinson's Progression Marker Initiative (PPMI) study for 367 patients with Parkinson's disease and phenotypically typical imaging data and 165 controls without neurological disease. Olfactory function, genetic risk, family history of Parkinson's disease, age, and gender were algorithmically selected by stepwise logistic regression as significant contributors to our classifying model. We then tested the model with data from 825 patients with Parkinson's disease and 261 controls from five independent cohorts with varying recruitment strategies and designs: the Parkinson's Disease Biomarkers Program (PDBP), the Parkinson's Associated Risk Study (PARS), 23andMe, the Longitudinal and Biomarker Study in PD (LABS-PD), and the Morris K Udall Parkinson's Disease Research Center of Excellence cohort (Penn-Udall). Additionally, we used our model to investigate patients who had imaging scans without evidence of dopaminergic deficit (SWEDD). In the population from PPMI, our initial model correctly distinguished patients with Parkinson's disease from controls at an area under the curve (AUC) of 0·923 (95% CI 0·900-0·946) with high sensitivity (0·834, 95% CI 0·711-0·883) and specificity (0·903, 95% CI 0·824-0·946) at its optimum AUC threshold (0·655). All Hosmer-Lemeshow simulations suggested that when parsed into random subgroups, the subgroup data matched that of the overall cohort. External validation showed good classification of Parkinson's disease, with AUCs of 0·894 (95% CI 0·867-0·921) in the PDBP cohort, 0·998 (0·992-1·000

Application of L1/2 regularization logistic method in heart disease diagnosis.

PubMed

Zhang, Bowen; Chai, Hua; Yang, Ziyi; Liang, Yong; Chu, Gejin; Liu, Xiaoying

2014-01-01

Heart disease has become the number one killer of human health, and its diagnosis depends on many features, such as age, blood pressure, heart rate and other dozens of physiological indicators. Although there are so many risk factors, doctors usually diagnose the disease depending on their intuition and experience, which requires a lot of knowledge and experience for correct determination. To find the hidden medical information in the existing clinical data is a noticeable and powerful approach in the study of heart disease diagnosis. In this paper, sparse logistic regression method is introduced to detect the key risk factors using L(1/2) regularization on the real heart disease data. Experimental results show that the sparse logistic L(1/2) regularization method achieves fewer but informative key features than Lasso, SCAD, MCP and Elastic net regularization approaches. Simultaneously, the proposed method can cut down the computational complexity, save cost and time to undergo medical tests and checkups, reduce the number of attributes needed to be taken from patients.

Cognitive and behavioral changes in Huntington disease before diagnosis.

PubMed

Paulsen, Jane S; Miller, Amanda C; Hayes, Terry; Shaw, Emily

2017-01-01

Phenotypic manifestations of Huntington disease (HD) can be detected at least 15 years prior to the time when a motor diagnosis is given. Advances in clinical care and future research will require consistent use of HD definitions and HD premanifest (prodromal) stages being used across clinics, sites, and countries. Cognitive and behavioral (psychiatric) changes in HD are summarized and implications for ongoing advancement in our knowledge of prodromal HD are suggested. The earliest detected cognitive changes are observed in the Symbol Digit Modalities Test, Stroop Interference, Stroop Color and Word Test-interference condition, and Trail Making Test. Cognitive changes in the middle and near motor diagnostic stages of prodromal HD involve nearly every cognitive test administered and the greatest changes over time (i.e., slopes) are found in those prodromal HD participants who are nearest to motor diagnosis. Psychiatric changes demonstrate significant worsening over time and remain elevated compared with healthy controls throughout the prodromal disease course. Psychiatric and behavior changes in prodromal HD are much lower than that obtained using cognitive assessment, although the psychiatric and behavioral changes represent symptoms most debilitating to independent capacity and wellness. Copyright © 2017 Elsevier B.V. All rights reserved.

Biomarkers in the Diagnosis and Prognosis of Alzheimer's Disease.

PubMed

Schaffer, Cole; Sarad, Nakia; DeCrumpe, Ashton; Goswami, Disha; Herrmann, Sara; Morales, Jose; Patel, Parth; Osborne, Jim

2015-10-01

Alzheimer's disease (AD) is a neurodegenerative disease that inhibits cognitive functions and has no cure. This report reviews the current diagnostic standards for AD with an emphasis on early diagnosis using the cerebrospinal fluid (CSF) biomarkers amyloid-beta, t-tau, and p-tau and fluorodeoxyglucose positron emission tomography imaging. Abnormal levels of these CSF biomarkers and decreased cerebral uptake of glucose have recently been used in the early diagnosis of AD in experimental studies. These promising biomarkers can be measured using immunoassays performed in singleplex or multiplex formats. Although presently, there are no Food and Drug Administration-approved in vitro diagnostics (IVDs) for early detection of AD, a multiplex immunoassay measuring a panel of promising AD biomarkers in CSF may be a likely IVD candidate for the clinical AD diagnostic market. Specifically, the INNO-BIA AlzBio3 immunoassay kit, performed using bead arrays on the xMAP Luminex analyzer, allows simultaneous quantification of amyloid-beta, t-tau, and p-tau biomarkers. AD biomarkers can also be screened using enzyme-linked immunosorbent assays that are offered as laboratory-developed tests. © 2014 Society for Laboratory Automation and Screening.

Tuberculosis disease diagnosis using artificial immune recognition system.

PubMed

Shamshirband, Shahaboddin; Hessam, Somayeh; Javidnia, Hossein; Amiribesheli, Mohsen; Vahdat, Shaghayegh; Petković, Dalibor; Gani, Abdullah; Kiah, Miss Laiha Mat

2014-01-01

There is a high risk of tuberculosis (TB) disease diagnosis among conventional methods. This study is aimed at diagnosing TB using hybrid machine learning approaches. Patient epicrisis reports obtained from the Pasteur Laboratory in the north of Iran were used. All 175 samples have twenty features. The features are classified based on incorporating a fuzzy logic controller and artificial immune recognition system. The features are normalized through a fuzzy rule based on a labeling system. The labeled features are categorized into normal and tuberculosis classes using the Artificial Immune Recognition Algorithm. Overall, the highest classification accuracy reached was for the 0.8 learning rate (α) values. The artificial immune recognition system (AIRS) classification approaches using fuzzy logic also yielded better diagnosis results in terms of detection accuracy compared to other empirical methods. Classification accuracy was 99.14%, sensitivity 87.00%, and specificity 86.12%.

Intelligence system based classification approach for medical disease diagnosis

NASA Astrophysics Data System (ADS)

Sagir, Abdu Masanawa; Sathasivam, Saratha

2017-08-01

The prediction of breast cancer in women who have no signs or symptoms of the disease as well as survivability after undergone certain surgery has been a challenging problem for medical researchers. The decision about presence or absence of diseases depends on the physician's intuition, experience and skill for comparing current indicators with previous one than on knowledge rich data hidden in a database. This measure is a very crucial and challenging task. The goal is to predict patient condition by using an adaptive neuro fuzzy inference system (ANFIS) pre-processed by grid partitioning. To achieve an accurate diagnosis at this complex stage of symptom analysis, the physician may need efficient diagnosis system. A framework describes methodology for designing and evaluation of classification performances of two discrete ANFIS systems of hybrid learning algorithms least square estimates with Modified Levenberg-Marquardt and Gradient descent algorithms that can be used by physicians to accelerate diagnosis process. The proposed method's performance was evaluated based on training and test datasets with mammographic mass and Haberman's survival Datasets obtained from benchmarked datasets of University of California at Irvine's (UCI) machine learning repository. The robustness of the performance measuring total accuracy, sensitivity and specificity is examined. In comparison, the proposed method achieves superior performance when compared to conventional ANFIS based gradient descent algorithm and some related existing methods. The software used for the implementation is MATLAB R2014a (version 8.3) and executed in PC Intel Pentium IV E7400 processor with 2.80 GHz speed and 2.0 GB of RAM.

Diagnosis of dry eye disease and emerging technologies

PubMed Central

Zeev, Maya Salomon-Ben; Miller, Darby Douglas; Latkany, Robert

2014-01-01

Dry eye is one of the most commonly encountered problems in ophthalmology. Signs can include punctate epithelial erosions, hyperemia, low tear lakes, rapid tear break-up time, and meibomian gland disease. Current methods of diagnosis include a slit-lamp examination with and without different stains, including fluorescein, rose bengal, and lissamine green. Other methods are the Schirmer test, tear function index, tear break-up time, and functional visual acuity. Emerging technologies include meniscometry, optical coherence tomography, tear film stability analysis, interferometry, tear osmolarity, the tear film normalization test, ocular surface thermography, and tear biomarkers. Patient-specific considerations involve relevant history of autoimmune disease, refractive surgery or use of oral medications, and allergies or rosacea. Other patient considerations include clinical examination for lid margin disease and presence of lagophthalmos or blink abnormalities. Given a complex presentation and a variety of signs and symptoms, it would be beneficial if there was an inexpensive, readily available, and reproducible diagnostic test for dry eye. PMID:24672224

The Use of Neuroimaging in the Diagnosis of Mitochondrial Disease

ERIC Educational Resources Information Center

Friedman, Seth D.; Shaw, Dennis W. W.; Ishak, Gisele; Gropman, Andrea L.; Saneto, Russell P.

2010-01-01

Mutations in nuclear and mitochondrial DNA impacting mitochondrial function result in disease manifestations ranging from early death to abnormalities in all major organ systems and to symptoms that can be largely confined to muscle fatigue. The definitive diagnosis of a mitochondrial disorder can be difficult to establish. When the constellation…

Norrie disease. Diagnosis of a simplex case by DNA analysis.

PubMed

Chynn, E W; Walton, D S; Hahn, L B; Dryja, T P

1996-09-01

Norrie disease is a rare, X-linked recessive disorder characterized by congenital blindness due to malformed retinas. We describe a simplex patient who had leukokoria and whose clinical diagnosis was confirmed only after molecular genetics analysis. DNA analysis was also used to determine the carrier status of relatives of the proband.

Whole exome resequencing distinguishes cystic kidney diseases from phenocopies in renal ciliopathies

PubMed Central

Gee, Heon Yung; Otto, Edgar A.; Hurd, Toby W.; Ashraf, Shazia; Chaki, Moumita; Cluckey, Andrew; Vega-Warner, Virginia; Saisawat, Pawaree; Diaz, Katrina A.; Fang, Humphrey; Kohl, Stefan; Allen, Susan J.; Airik, Rannar; Zhou, Weibin; Ramaswami, Gokul; Janssen, Sabine; Fu, Clementine; Innis, Jamie L.; Weber, Stefanie; Vester, Udo; Davis, Erica E.; Katsanis, Nicholas; Fathy, Hanan M.; Jeck, Nikola; Klaus, Gunther; Nayir, Ahmet; Rahim, Khawla A.; Attrach, Ibrahim Al; Hassoun, Ibrahim Al; Ozturk, Savas; Drozdz, Dorota; Helmchen, Udo; O’Toole, John F.; Attanasio, Massimo; Nürnberg, Gudrun; Nürnberg, Peter; Washburn, Joseph; MacDonald, James; James, Jeffrey W.; Levy, Shawn; Hildebrandt, Friedhelm

2013-01-01

Rare single-gene disorders cause chronic disease. However, half of the 6,000 recessive single gene causes of disease are still unknown. Because recessive disease genes can illuminate, at least in part, disease pathomechanism, their identification offers direct opportunities for improved clinical management and potentially treatment. Rare diseases comprise the majority of chronic kidney disease (CKD) in children but are notoriously difficult to diagnose. Whole exome resequencing facilitates identification of recessive disease genes. However, its utility is impeded by the large number of genetic variants detected. We here overcome this limitation by combining homozygosity mapping with whole exome resequencing in 10 sib pairs with a nephronophthisis-related ciliopathy, which represents the most frequent genetic cause of CKD in the first three decades of life. In 7 of 10 sib-ships with a histologic or ultrasonographic diagnosis of nephronophthisis-related ciliopathy we detect the causative gene. In six sib-ships we identify mutations of known nephronophthisis-related ciliopathy genes, while in two additional sib-ships we found mutations in the known CKD-causing genes SLC4A1 and AGXT as phenocopies of nephronophthisis-related ciliopathy. Thus whole exome resequencing establishes an efficient, non-invasive approach towards early detection and causation-based diagnosis of rare kidney diseases. This approach can be extended to other rare recessive disorders, thereby providing accurate diagnosis and facilitating the study of disease mechanisms. PMID:24257694

Whole-exome resequencing distinguishes cystic kidney diseases from phenocopies in renal ciliopathies.

PubMed

Gee, Heon Yung; Otto, Edgar A; Hurd, Toby W; Ashraf, Shazia; Chaki, Moumita; Cluckey, Andrew; Vega-Warner, Virginia; Saisawat, Pawaree; Diaz, Katrina A; Fang, Humphrey; Kohl, Stefan; Allen, Susan J; Airik, Rannar; Zhou, Weibin; Ramaswami, Gokul; Janssen, Sabine; Fu, Clementine; Innis, Jamie L; Weber, Stefanie; Vester, Udo; Davis, Erica E; Katsanis, Nicholas; Fathy, Hanan M; Jeck, Nikola; Klaus, Gunther; Nayir, Ahmet; Rahim, Khawla A; Al Attrach, Ibrahim; Al Hassoun, Ibrahim; Ozturk, Savas; Drozdz, Dorota; Helmchen, Udo; O'Toole, John F; Attanasio, Massimo; Lewis, Richard A; Nürnberg, Gudrun; Nürnberg, Peter; Washburn, Joseph; MacDonald, James; Innis, Jeffrey W; Levy, Shawn; Hildebrandt, Friedhelm

2014-04-01

Rare single-gene disorders cause chronic disease. However, half of the 6000 recessive single gene causes of disease are still unknown. Because recessive disease genes can illuminate, at least in part, disease pathomechanism, their identification offers direct opportunities for improved clinical management and potentially treatment. Rare diseases comprise the majority of chronic kidney disease (CKD) in children but are notoriously difficult to diagnose. Whole-exome resequencing facilitates identification of recessive disease genes. However, its utility is impeded by the large number of genetic variants detected. We here overcome this limitation by combining homozygosity mapping with whole-exome resequencing in 10 sib pairs with a nephronophthisis-related ciliopathy, which represents the most frequent genetic cause of CKD in the first three decades of life. In 7 of 10 sibships with a histologic or ultrasonographic diagnosis of nephronophthisis-related ciliopathy, we detect the causative gene. In six sibships, we identify mutations of known nephronophthisis-related ciliopathy genes, while in two additional sibships we found mutations in the known CKD-causing genes SLC4A1 and AGXT as phenocopies of nephronophthisis-related ciliopathy. Thus, whole-exome resequencing establishes an efficient, noninvasive approach towards early detection and causation-based diagnosis of rare kidney diseases. This approach can be extended to other rare recessive disorders, thereby providing accurate diagnosis and facilitating the study of disease mechanisms.

Field Ionization Mass Spectrometric Rapid Diagnosis of Infectious Diseases

DTIC Science & Technology

1975-10-01

microorganisms following extraction. We also planned to examine artificial growth media.for changes in chemical composition following short periods of...patients suffering from infectious diseases, particularly, infec- tious hepatitis and mononucleosis . LI. 4 ’V iiN II. Carry out the same type of...analytical chemi- stry determines quantitatively one constituent at a time. When applied I to clinical diagnosis of metabolic disorders, from hormone

Information system for diagnosis of respiratory system diseases

NASA Astrophysics Data System (ADS)

Abramov, G. V.; Korobova, L. A.; Ivashin, A. L.; Matytsina, I. A.

2018-05-01

An information system is for the diagnosis of patients with lung diseases. The main problem solved by this system is the definition of the parameters of cough fragments in the monitoring recordings using a voice recorder. The authors give the recognition criteria of recorded cough moments, audio records analysis. The results of the research are systematized. The cough recognition system can be used by the medical specialists to diagnose the condition of the patients and to monitor the process of their treatment.

Diagnosis of gluten related disorders: Celiac disease, wheat allergy and non-celiac gluten sensitivity

PubMed Central

Elli, Luca; Branchi, Federica; Tomba, Carolina; Villalta, Danilo; Norsa, Lorenzo; Ferretti, Francesca; Roncoroni, Leda; Bardella, Maria Teresa

2015-01-01

Cereal crops and cereal consumption have had a vital role in Mankind’s history. In the recent years gluten ingestion has been linked with a range of clinical disorders. Gluten-related disorders have gradually emerged as an epidemiologically relevant phenomenon with an estimated global prevalence around 5%. Celiac disease, wheat allergy and non-celiac gluten sensitivity represent different gluten-related disorders. Similar clinical manifestations can be observed in these disorders, yet there are peculiar pathogenetic pathways involved in their development. Celiac disease and wheat allergy have been extensively studied, while non-celiac gluten sensitivity is a relatively novel clinical entity, believed to be closely related to other gastrointestinal functional syndromes. The diagnosis of celiac disease and wheat allergy is based on a combination of findings from the patient’s clinical history and specific tests, including serology and duodenal biopsies in case of celiac disease, or laboratory and functional assays for wheat allergy. On the other hand, non-celiac gluten sensitivity is still mainly a diagnosis of exclusion, in the absence of clear-cut diagnostic criteria. A multimodal pragmatic approach combining findings from the clinical history, symptoms, serological and histological tests is required in order to reach an accurate diagnosis. A thorough knowledge of the differences and overlap in clinical presentation among gluten-related disorders, and between them and other gastrointestinal disorders, will help clinicians in the process of differential diagnosis. PMID:26109797

Diagnosis of Periodontal Diseases: Building a Bridge from Today's Methods to Tomorrow's Technology.

ERIC Educational Resources Information Center

Jeffcoat, Marjorie K.

1994-01-01

A discussion of advancements in diagnosis of periodontal diseases looks first at the screening process, reviews specific periodontal diseases and their clinical signs and symptoms, and explains both traditional and newly developed diagnostic tests. A framework for understanding the tests' clinical usefulness is also presented. (MSE)

Diagnosis and treatment of gastroesophageal reflux disease: recommendations of the Asociación Mexicana de Gastroenterología.

PubMed

Huerta-Iga, F; Bielsa-Fernández, M V; Remes-Troche, J M; Valdovinos-Díaz, M A; Tamayo-de la Cuesta, J L

Emerging concepts in the pathophysiology of gastroesophageal reflux disease (GERD) and the constant technologic advances in the diagnosis and treatment of this clinical condition make it necessary to frequently review and update the clinical guidelines, recommendations, and official statements from the leading academic groups worldwide. The Asociación Mexicana de Gastroenterología (AMG), aware of this responsibility, brought together national experts in this field to analyze the most recent scientific evidence and formulate a series of practical recommendations to guide and facilitate the diagnostic process and efficacious treatment of these patients. The document includes algorithms, figures, and tables for convenient consultation, along with opinions on GERD management in sensitive populations, such as pregnant women and older adults. Copyright © 2016 Asociación Mexicana de Gastroenterología. Publicado por Masson Doyma México S.A. All rights reserved.

[Cognitive and functional decline in the stage previous to the diagnosis of Alzheimers disease].

PubMed

García-Sánchez, C; Estévez-González, A; Boltes, A; Otermín, P; López-Góngora, M; Gironell, A; Kulisevsky, J

2003-12-01

The decline in the phase prior to diagnosis of Alzheimers disease (AD) is not well known, although this knowledge is necessary to evaluate the efficiency of new drugs that can influence in disease course prior to diagnosis. To contribute to better knowledge of the decline prior to diagnosis, we have investigated the cognitive and functional deterioration for 2-3 years before the probable AD diagnosis was established. We compared results obtained by 17 control subjects and 27 patients at the time of diagnosis of a probable AD with results obtained 2-3 years before (interval of 27.7 4 months). We compared memory functions (logical, recognition, learning and autobiographical memory), naming, visual and visuospatial gnosis, visuoconstructive praxis, verbal fluency and the Mini-Mental State Examination (MMSE), Informant Questionnaire and Blessed's Scale scores. Performance of control subjects did not change. AD patients showed a significant decline in scores, except for verbal fluency. In order of importance, cognitive decline was more marked in scores of learning memory, visuospatial gnosis, autobiographical memory and visuoconstructive praxis. Decline prior to diagnosis of AD is characterized by an important learning memory impairment. Deterioration of visuospatial gnosis and visuoconstructive praxis is greater than deterioration of MMSE and Informant Questionnaire scores.

Fetal ascites and oligohydramnios: prenatal diagnosis of a sialic acid storage disease (index case).

PubMed

Poulain, P; Odent, S; Maire, I; Milon, J; Proudhon, J F; Jouan, H; Le Marec, B

1995-09-01

In a 20-year-old primiparous patient, a routine ultrasound scan performed at 28 weeks revealed fetal ascites, bilateral talipes, and oligohydramnios. This woman, married to possibly her first cousin, was at risk for an autosomal recessive disease, a metabolic disorder. At 29 weeks, an amniotic fluid biochemical study revealed the presence of an abnormal band of free sialic acid, leading to a diagnosis of a congenital form of sialic acid storage disease. Termination of pregnancy was performed at 30 weeks. Measurement of free sialic acid in cultured fetal skin fibroblasts confirmed the diagnosis.

[Rapid diagnosis for infectious diseases: the respective roles of physician and medical technologist].

PubMed

Yamane, N

2000-01-01

The outcome of infectious disease greatly depends on the rapidity of making a definite diagnosis. For this, smooth and tight cooperation between physician and laboratory where medical technologists are working will become to the key. Rapid diagnosis for infectious diseases can contribute on the patient care, however the laboratory has a self-limitation. That is a seesaw phenomenon; rapidity vs accuracy, rapidity vs sensitivity, rapidity vs easygoing, rapidity vs carefulness, etc. From the laboratory aspect, medical technologists should function as the effective access-point in the evidence-based medicine (EBM), and should have a reasonable balance in judging seesaw phenomena, and should be keeping up their knowledge and technical skill.

Combinations of Multiple Neuroimaging Markers using Logistic Regression for Auxiliary Diagnosis of Alzheimer Disease and Mild Cognitive Impairment.

PubMed

Mao, Nini; Liu, Yunting; Chen, Kewei; Yao, Li; Wu, Xia

2018-06-05

Multiple neuroimaging modalities have been developed providing various aspects of information on the human brain. Used together and properly, these complementary multimodal neuroimaging data integrate multisource information which can facilitate a diagnosis and improve the diagnostic accuracy. In this study, 3 types of brain imaging data (sMRI, FDG-PET, and florbetapir-PET) were fused in the hope to improve diagnostic accuracy, and multivariate methods (logistic regression) were applied to these trimodal neuroimaging indices. Then, the receiver-operating characteristic (ROC) method was used to analyze the outcomes of the logistic classifier, with either each index, multiples from each modality, or all indices from all 3 modalities, to investigate their differential abilities to identify the disease. With increasing numbers of indices within each modality and across modalities, the accuracy of identifying Alzheimer disease (AD) increases to varying degrees. For example, the area under the ROC curve is above 0.98 when all the indices from the 3 imaging data types are combined. Using a combination of different indices, the results confirmed the initial hypothesis that different biomarkers were potentially complementary, and thus the conjoint analysis of multiple information from multiple sources would improve the capability to identify diseases such as AD and mild cognitive impairment. © 2018 S. Karger AG, Basel.

EMQN Best Practice Guidelines for molecular and haematology methods for carrier identification and prenatal diagnosis of the haemoglobinopathies.

PubMed

Traeger-Synodinos, Joanne; Harteveld, Cornelis L; Old, John M; Petrou, Mary; Galanello, Renzo; Giordano, Piero; Angastioniotis, Michael; De la Salle, Barbara; Henderson, Shirley; May, Alison

2015-04-01

Haemoglobinopathies constitute the commonest recessive monogenic disorders worldwide, and the treatment of affected individuals presents a substantial global disease burden. Carrier identification and prenatal diagnosis represent valuable procedures that identify couples at risk for having affected children, so that they can be offered options to have healthy offspring. Molecular diagnosis facilitates prenatal diagnosis and definitive diagnosis of carriers and patients (especially 'atypical' cases who often have complex genotype interactions). However, the haemoglobin disorders are unique among all genetic diseases in that identification of carriers is preferable by haematological (biochemical) tests rather than DNA analysis. These Best Practice guidelines offer an overview of recommended strategies and methods for carrier identification and prenatal diagnosis of haemoglobinopathies, and emphasize the importance of appropriately applying and interpreting haematological tests in supporting the optimum application and evaluation of globin gene DNA analysis.

EMQN Best Practice Guidelines for molecular and haematology methods for carrier identification and prenatal diagnosis of the haemoglobinopathies

PubMed Central

Traeger-Synodinos, Joanne; Harteveld, Cornelis L; Old, John M; Petrou, Mary; Galanello, Renzo; Giordano, Piero; Angastioniotis, Michael; De la Salle, Barbara; Henderson, Shirley; May, Alison

2015-01-01

Haemoglobinopathies constitute the commonest recessive monogenic disorders worldwide, and the treatment of affected individuals presents a substantial global disease burden. Carrier identification and prenatal diagnosis represent valuable procedures that identify couples at risk for having affected children, so that they can be offered options to have healthy offspring. Molecular diagnosis facilitates prenatal diagnosis and definitive diagnosis of carriers and patients (especially ‘atypical' cases who often have complex genotype interactions). However, the haemoglobin disorders are unique among all genetic diseases in that identification of carriers is preferable by haematological (biochemical) tests rather than DNA analysis. These Best Practice guidelines offer an overview of recommended strategies and methods for carrier identification and prenatal diagnosis of haemoglobinopathies, and emphasize the importance of appropriately applying and interpreting haematological tests in supporting the optimum application and evaluation of globin gene DNA analysis. PMID:25052315

Expert Diagnosis of Plus Disease in Retinopathy of Prematurity From Computer-Based Image Analysis.

PubMed

Campbell, J Peter; Ataer-Cansizoglu, Esra; Bolon-Canedo, Veronica; Bozkurt, Alican; Erdogmus, Deniz; Kalpathy-Cramer, Jayashree; Patel, Samir N; Reynolds, James D; Horowitz, Jason; Hutcheson, Kelly; Shapiro, Michael; Repka, Michael X; Ferrone, Phillip; Drenser, Kimberly; Martinez-Castellanos, Maria Ana; Ostmo, Susan; Jonas, Karyn; Chan, R V Paul; Chiang, Michael F

2016-06-01

Published definitions of plus disease in retinopathy of prematurity (ROP) reference arterial tortuosity and venous dilation within the posterior pole based on a standard published photograph. One possible explanation for limited interexpert reliability for a diagnosis of plus disease is that experts deviate from the published definitions. To identify vascular features used by experts for diagnosis of plus disease through quantitative image analysis. A computer-based image analysis system (Imaging and Informatics in ROP [i-ROP]) was developed using a set of 77 digital fundus images, and the system was designed to classify images compared with a reference standard diagnosis (RSD). System performance was analyzed as a function of the field of view (circular crops with a radius of 1-6 disc diameters) and vessel subtype (arteries only, veins only, or all vessels). Routine ROP screening was conducted from June 29, 2011, to October 14, 2014, in neonatal intensive care units at 8 academic institutions, with a subset of 73 images independently classified by 11 ROP experts for validation. The RSD was compared with the majority diagnosis of experts. The primary outcome measure was the percentage of accuracy of the i-ROP system classification of plus disease, with the RSD as a function of the field of view and vessel type. Secondary outcome measures included the accuracy of the 11 experts compared with the RSD. Accuracy of plus disease diagnosis by the i-ROP computer-based system was highest (95%; 95% CI, 94%-95%) when it incorporated vascular tortuosity from both arteries and veins and with the widest field of view (6-disc diameter radius). Accuracy was 90% or less when using only arterial tortuosity and 85% or less using a 2- to 3-disc diameter view similar to the standard published photograph. Diagnostic accuracy of the i-ROP system (95%) was comparable to that of 11 expert physicians (mean 87%, range 79%-99%). Experts in ROP appear to consider findings from beyond the

Temporal order memory assessed during spatiotemporal navigation as a behavioral cognitive marker for differential Alzheimer's disease diagnosis.

PubMed

Bellassen, Virginie; Iglói, Kinga; de Souza, Leonardo Cruz; Dubois, Bruno; Rondi-Reig, Laure

2012-02-08

Episodic memory impairment is a hallmark for early diagnosis of Alzheimer's disease. Most actual tests used to diagnose Alzheimer's disease do not assess the spatiotemporal properties of episodic memory and lead to false-positive or -negative diagnosis. We used a newly developed, nonverbal navigation test for Human, based on the objective experimental testing of a spatiotemporal experience, to differentially Alzheimer's disease at the mild stage (N = 16 patients) from frontotemporal lobar degeneration (N = 11 patients) and normal aging (N = 24 subjects). Comparing navigation parameters and standard neuropsychological tests, temporal order memory appeared to have the highest predictive power for mild Alzheimer's disease diagnosis versus frontotemporal lobar degeneration and normal aging. This test was also nonredundant with classical neuropsychological tests. As a conclusion, our results suggest that temporal order memory tested in a spatial navigation task may provide a selective behavioral marker of Alzheimer's disease.

Meta-markers for the differential diagnosis of lung cancer and lung disease.

PubMed

Kim, Yong-In; Ahn, Jung-Mo; Sung, Hye-Jin; Na, Sang-Su; Hwang, Jaesung; Kim, Yongdai; Cho, Je-Yoel

2016-10-04

Misdiagnosis of lung cancer remains a serious problem due to the difficulty of distinguishing lung cancer from other respiratory lung diseases. As a result, the development of serum-based differential diagnostic biomarkers is in high demand. In this study, 198 clinical serum samples from non-cancer lung disease and lung cancer patients were analyzed using nLC-MRM-MS for the levels of seven lung cancer biomarker candidates. When the candidates were assessed individually, only SERPINEA4 showed statistically significant changes in the serum levels. The MRM results and clinical information were analyzed using a logistic regression analysis to select model for the best 'meta-marker', or combination of biomarkers for differential diagnosis. Also, under consideration of statistical interaction, variables having low significance as a single factor but statistically influencing on meta-marker model were selected. Using this probabilistic classification, the best meta-marker was determined to be made up of two proteins SERPINA4 and PON1 with age factor. This meta-marker showed an enhanced differential diagnostic capability (AUC=0.915) for distinguishing the two patient groups. Our results suggest that a statistical model can determine optimal meta-markers, which may have better specificity and sensitivity than a single biomarker and thus improve the differential diagnosis of lung cancer and lung disease patients. Diagnosing lung cancer commonly involves the use of radiographic methods. However, an imaging-based diagnosis may fail to differentiate lung cancer from non-cancerous lung disease. In this study, we examined several serum proteins in the sera of 198 lung cancer and non-cancerous lung disease patients by multiple-reaction monitoring. We then used a combination of variables to generate a meta-marker model that is useful as a differential diagnostic biomarker. Copyright © 2016 The Authors. Published by Elsevier B.V. All rights reserved.

Optical Coherence Tomography as a Biomarker for Diagnosis, Progression, and Prognosis of Neurodegenerative Diseases

PubMed Central

Otin, Sofia; Fuertes, Maria I.; Vilades, Elisa; Gracia, Hector; Ara, Jose R.; Alarcia, Raquel; Polo, Vicente; Larrosa, Jose M.; Pablo, Luis E.

2016-01-01

Neurodegenerative diseases present a current challenge for accurate diagnosis and for providing precise prognostic information. Developing imaging biomarkers for multiple sclerosis (MS), Parkinson disease (PD), and Alzheimer's disease (AD) will improve the clinical management of these patients and may be useful for monitoring treatment effectiveness. Recent research using optical coherence tomography (OCT) has demonstrated that parameters provided by this technology may be used as potential biomarkers for MS, PD, and AD. Retinal thinning has been observed in these patients and new segmentation software for the analysis of the different retinal layers may provide accurate information on disease progression and prognosis. In this review we analyze the application of retinal evaluation using OCT technology to provide better understanding of the possible role of the retinal layers thickness as biomarker for the detection of these neurodegenerative pathologies. Current OCT analysis of the retinal nerve fiber layer and, specially, the ganglion cell layer thickness may be considered as a good biomarker for disease diagnosis, severity, and progression. PMID:27840739

Laboratory diagnosis of Ebola virus disease and corresponding biosafety considerations in the China Ebola Treatment Center.

PubMed

Huang, Qing; Fu, Wei-Ling; You, Jian-Ping; Mao, Qing

2016-10-01

Ebola virus disease (EVD), caused by Ebola virus (EBOV), is a potent acute infectious disease with a high case-fatality rate. Etiological and serological EBOV detection methods, including techniques that involve the detection of the viral genome, virus-specific antigens and anti-virus antibodies, are standard laboratory diagnostic tests that facilitate confirmation or exclusion of EBOV infection. In addition, routine blood tests, liver and kidney function tests, electrolytes and coagulation tests and other diagnostic examinations are important for the clinical diagnosis and treatment of EVD. Because of the viral load in body fluids and secretions from EVD patients, all body fluids are highly contagious. As a result, biosafety control measures during the collection, transport and testing of clinical specimens obtained from individuals scheduled to undergo EBOV infection testing (including suspected, probable and confirmed cases) are crucial. This report has been generated following extensive work experience in the China Ebola Treatment Center (ETC) in Liberia and incorporates important information pertaining to relevant diagnostic standards, clinical significance, operational procedures, safety controls and other issues related to laboratory testing of EVD. Relevant opinions and suggestions are presented in this report to provide contextual awareness associated with the development of standards and/or guidelines related to EVD laboratory testing.

Cost-minimization analysis favors outpatient quick diagnosis unit over hospitalization for the diagnosis of potentially serious diseases.

PubMed

Sanclemente-Ansó, Carmen; Bosch, Xavier; Salazar, Albert; Moreno, Ramón; Capdevila, Cristina; Rosón, Beatriz; Corbella, Xavier

2016-05-01

Quick diagnosis units (QDUs) are a promising alternative to conventional hospitalization for the diagnosis of suspected serious diseases, most commonly cancer and severe anemia. Although QDUs are as effective as hospitalization in reaching a timely diagnosis, a full economic evaluation comparing both approaches has not been reported. To evaluate the costs of QDU vs. conventional hospitalization for the diagnosis of cancer and anemia using a cost-minimization analysis on the proven assumption that health outcomes of both approaches were equivalent. Patients referred to the QDU of Bellvitge University Hospital of Barcelona over 51 months with a final diagnosis of severe anemia (unrelated to malignancy), lymphoma, and lung cancer were compared with patients hospitalized for workup with the same diagnoses. The total cost per patient until diagnosis was analyzed. Direct and non-direct costs of QDU and hospitalization were compared. Time to diagnosis in QDU patients (n=195) and length-of-stay in hospitalized patients (n=237) were equivalent. There were considerable costs savings from hospitalization. Highest savings for the three groups were related to fixed direct costs of hospital stays (66% of total savings). Savings related to fixed non-direct costs of structural and general functioning were 33% of total savings. Savings related to variable direct costs of investigations were 1% of total savings. Overall savings from hospitalization of all patients were €867,719.31. QDUs appear to be a cost-effective resource for avoiding unnecessary hospitalization in patients with anemia and cancer. Internists, hospital executives, and healthcare authorities should consider establishing this model elsewhere. Copyright © 2015. Published by Elsevier B.V.

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

Differential and exclusive diagnosis of diseases that resemble keloids and hypertrophic scars.

PubMed

Ogawa, Rei; Akaishi, Satoshi; Hyakusoku, Hiko

2009-06-01

Previous articles suggested the presence of various kinds of malignant tumors that resemble keloid or hypertrophic scar, including dermatofibrosarcoma protuberans, trichilemmal carcinoma, and keloidal basal cell carcinoma. Thus, we studied our cases that were diagnosed with diseases other than keloid or hypertrophic scar. From April 2003 to March 2007, we examined 378 patients self diagnosed with keloid or hypertrophic scar.We detected 4 other diseases (1.06%) in the group of patients. All tumors were benign: apocrine cystadenoma, adult-onset juvenile xanthogranuloma, mixed tumor, and chronic folliculitis. Our study led us to the conclusion that differential or exclusive diagnosis of diseases similar to keloid and hypertrophic scar is important. We found the following considerations important in the examination of keloid or hypertrophic scar: (1) biopsy should be conducted in anomalous cases because malignant disease may be the original or secondary problem, (2) steroid injection should be performed only after careful consideration because malignancy or infections may be present, (3) careful differential diagnosis is particularly challenging in African-Americans because skin and tumor color are often similar, and (4) the presence of bacterial or fungal infection should be investigated.

[Pathway to diagnosis and real-life experience of patients believing they are affected by "chronic Lyme disease"].

PubMed

Forestier, E; Gonnet, F; Revil-Signorat, A; Zipper, A C

2018-04-26

Chronic Lyme disease is a subject of scientific and social controversy in both Europe and the United States. The aim of our study was to analyze the pathway to diagnosis of patients believing they were affected by the disease, and to describe their real-life experience. A qualitative study was performed with 13 patients declaring themselves to be affected by chronic Lyme disease. Interviews were analyzed by 2 general medical practice interns, supervised by a general practitioner with a diploma in socio-anthropology and an infectious diseases specialist. Internet and other media played a major role in informing the patients or their doctor about the existence and the characteristics of chronic Lyme disease. The diagnosis was confirmed by features considered objective (chronic infection by Borrelia, tick bite, positive serology, beneficial or worsening effects of antibiotics). The long medical diagnosis and treatment process of those interviewed was marked by a conflicted relationship with the medical profession, caused by a feeling of non-recognition and abandonment. They reported their experience as being very painful, both because of the physical pain and also the psychological consequences of their condition. Improving the diagnosis and therapeutic management of patients believing themselves to be affected by chronic Lyme disease appears highly necessary both to limit their search for diagnosis and their experience of pain. It could be based on existing guidelines concerning medically unexplained symptoms to which the chronic Lyme disease issue appears quite similar on several points. Copyright © 2018 Société Nationale Française de Médecine Interne (SNFMI). Published by Elsevier SAS. All rights reserved.

A multicentre observational study for early diagnosis of Gaucher disease in patients with Splenomegaly and/or Thrombocytopenia.

PubMed

Motta, Irene; Filocamo, Mirella; Poggiali, Erika; Stroppiano, Marina; Dragani, Alfredo; Consonni, Dario; Barcellini, Wilma; Gaidano, Gianluca; Facchini, Luca; Specchia, Giorgina; Cappellini, Maria Domenica

2016-04-01

Gaucher disease (GD) is the most common lysosomal disorder resulting from deficient activity of the β-glucosidase enzyme that causes accumulation of glucosylceramide in the macrophage-monocyte system. Notably, because of non-specific symptoms and a lack of awareness, patients with GD experience long diagnostic delays. The aim of this study was to apply a diagnostic algorithm to identify GD type 1 among adults subjects referred to Italian haematology outpatient units because of splenomegaly and/or thrombocytopenia and, eventually, to estimate the prevalence of GD in this selected population. One hundred and ninety-six subjects (61 females, 135 males; mean age 47.8 ± 18.2 years) have been enrolled in the study and tested for β-glucosidase enzyme activity on dried blood spot (DBS). Seven of 196 patients have been diagnosed with GD, (5 females and 2 males) with mean age 31.8 ± 8.2 years, with a prevalence of 3.6% (with a prevalence of 3.6% (I95% CI 1.4-7.2; 1/28 patients) in this population. These results show that the use of an appropriate diagnostic algorithm and a simple diagnostic method, such as DBS, are important tools to facilitate the diagnosis of a rare disease even for not disease-expert physicians. © 2015 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

Noninvasive metabolic profiling for painless diagnosis of human diseases and disorders.

PubMed

Mal, Mainak

2016-06-01

Metabolic profiling provides a powerful diagnostic tool complementary to genomics and proteomics. The pain, discomfort and probable iatrogenic injury associated with invasive or minimally invasive diagnostic methods, render them unsuitable in terms of patient compliance and participation. Metabolic profiling of biomatrices like urine, breath, saliva, sweat and feces, which can be collected in a painless manner, could be used for noninvasive diagnosis. This review article covers the noninvasive metabolic profiling studies that have exhibited diagnostic potential for diseases and disorders. Their potential applications are evident in different forms of cancer, metabolic disorders, infectious diseases, neurodegenerative disorders, rheumatic diseases and pulmonary diseases. Large scale clinical validation of such diagnostic methods is necessary in future.

Noninvasive metabolic profiling for painless diagnosis of human diseases and disorders

PubMed Central

Mal, Mainak

2016-01-01

Metabolic profiling provides a powerful diagnostic tool complementary to genomics and proteomics. The pain, discomfort and probable iatrogenic injury associated with invasive or minimally invasive diagnostic methods, render them unsuitable in terms of patient compliance and participation. Metabolic profiling of biomatrices like urine, breath, saliva, sweat and feces, which can be collected in a painless manner, could be used for noninvasive diagnosis. This review article covers the noninvasive metabolic profiling studies that have exhibited diagnostic potential for diseases and disorders. Their potential applications are evident in different forms of cancer, metabolic disorders, infectious diseases, neurodegenerative disorders, rheumatic diseases and pulmonary diseases. Large scale clinical validation of such diagnostic methods is necessary in future. PMID:28031956

Rapid clinical diagnosis of Legionnaires' disease during the "herald wave" of the swine influenza (H1N1) pandemic: the Legionnaires' disease triad.

PubMed

Cunha, Burke A; Mickail, Nardeen; Syed, Uzma; Strollo, Stephanie; Laguerre, Marianne

2010-01-01

In adults hospitalized with atypical community-acquired pneumonia (CAP), Legionnaires' disease is not uncommon. Legionnaire's disease can be differentiated from typical CAPs and from other atypical CAPs based on its characteristic pattern of extrapulmonary organ involvement. The first clinically useful diagnostic weighted point score system for the clinical diagnosis of Legionnaires' disease was developed by the Infectious Disease Division at Winthrop-University Hospital in the 1980s. It has proven to be diagnostically accurate and useful for more than two decades, but was time-consuming. Because Legionella spp. diagnostic tests are time-dependent and problematic, a need was perceived for a rapid, simple way to render a clinical, syndromic diagnosis of Legionnaires' disease pending Legionella test results. During the "herald wave" of the swine influenza (H1N1) pandemic in the New York area, our hospital, like others, was inundated with patients who presented to the Emergency Department with influenza-like illnesses (ILIs) for H1N1 testing/evaluation. Most patients with ILIs did not have swine influenza. Hospitalized patients with ILIs who tested positive with rapid influenza diagnostic tests (RIDTs) were placed on influenza precautions and treated with oseltamivir. Unfortunately, approximately 30% of adult patients admitted with an ILI had negative RIDTs. Because the definitive laboratory diagnosis of H1N1 pneumonia by reverse transcription-polymerase chain reaction(RT-PCR), testing was restricted by health departments, resulted in clinical and infection control dilemmas in determining which RIDT-negative patients did, in fact, have H1N1 pneumonia. Accordingly, a diagnostic weighted point score system was developed for H1N1 pneumonia patients, based on RT-PCR positivity by the Infectious Disease Division at Winthrop-University Hospital. This diagnostic point score system for hospitalized adults with negative RIDTs was time-consuming. As the pandemic progressed, a

Molecular imaging in the diagnosis of Alzheimer's disease and related disorders.

PubMed

Koric, L; Guedj, E; Habert, M O; Semah, F; Branger, P; Payoux, P; Le Jeune, F

2016-12-01

The diagnosis of Alzheimer's disease (AD) and its related disorders rely on clinical criteria. There is, however, a large clinical overlap between the different neurodegenerative diseases affecting cognition and, frequently, there are diagnostic uncertainties with atypical clinical presentations. Current clinical practices can now regularly use positron emission tomography (PET) and single-photon emission computed tomography (SPECT) molecular imaging to help resolve such uncertainties. The Neurology Group of the French Society of Nuclear Medicine and Federations of Memory, Resources and Research Centers have collaborated to establish clinical guidelines to determine which molecular imaging techniques to use when seeking a differential diagnosis between AD and other neurodegenerative disorders affecting cognition. According to the current medical literature, the potential usefulness of molecular imaging to address the typical clinical criteria in common forms of AD remains modest, as typical AD presentations rarely raise questions of differential diagnoses with other neurodegenerative disorders. However, molecular imaging could be of significant value in the diagnosis of atypical neurodegenerative disorders, including early onset, rapid cognitive decline, prominent non-amnestic presentations involving language, visuospatial, behavioral/executive and/or non-cognitive symptoms in AD, or prominent amnestic presentations in other non-AD dementias. The clinical use of molecular imaging should be recommended for assessing cognitive disturbances particularly in patients with early clinical onset (before age 65) and atypical presentations. However, diagnostic tools should always be part of the global clinical approach, as an isolated positive result cannot adequately establish a diagnosis of any neurodegenerative disorder. Copyright © 2016 Elsevier Masson SAS. All rights reserved.

Novel, Objective, Multivariate Biomarkers Composed of Plasma Amino Acid Profiles for the Diagnosis and Assessment of Inflammatory Bowel Disease

PubMed Central

Hisamatsu, Tadakazu; Okamoto, Susumu; Hashimoto, Masaki; Muramatsu, Takahiko; Andou, Ayatoshi; Uo, Michihide; Kitazume, Mina T.; Matsuoka, Katsuyoshi; Yajima, Tomoharu; Inoue, Nagamu; Kanai, Takanori; Ogata, Haruhiko; Iwao, Yasushi; Yamakado, Minoru; Sakai, Ryosei; Ono, Nobukazu; Ando, Toshihiko; Suzuki, Manabu; Hibi, Toshifumi

2012-01-01

Background Inflammatory bowel disease (IBD) is a chronic intestinal disorder that is associated with a limited number of clinical biomarkers. In order to facilitate the diagnosis of IBD and assess its disease activity, we investigated the potential of novel multivariate indexes using statistical modeling of plasma amino acid concentrations (aminogram). Methodology and Principal Findings We measured fasting plasma aminograms in 387 IBD patients (Crohn's disease (CD), n = 165; ulcerative colitis (UC), n = 222) and 210 healthy controls. Based on Fisher linear classifiers, multivariate indexes were developed from the aminogram in discovery samples (CD, n = 102; UC, n = 102; age and sex-matched healthy controls, n = 102) and internally validated. The indexes were used to discriminate between CD or UC patients and healthy controls, as well as between patients with active disease and those in remission. We assessed index performances using the area under the curve of the receiver operating characteristic (ROC AUC). We observed significant alterations to the plasma aminogram, including histidine and tryptophan. The multivariate indexes established from plasma aminograms were able to distinguish CD or UC patients from healthy controls with ROC AUCs of 0.940 (95% confidence interval (CI): 0.898–0.983) and 0.894 (95%CI: 0.853–0.935), respectively in validation samples (CD, n = 63; UC, n = 120; healthy controls, n = 108). In addition, other indexes appeared to be a measure of disease activity. These indexes distinguished active CD or UC patients from each remission patients with ROC AUCs of 0.894 (95%CI: 0.853–0.935) and 0.849 (95%CI: 0.770–0.928), and correlated with clinical disease activity indexes for CD (rs = 0.592, 95%CI: 0.385–0.742, p<0.001) or UC (rs = 0.598, 95%CI: 0.452–0.713, p<0.001), respectively. Conclusions and Significance In this study, we demonstrated that established multivariate indexes composed of plasma

Multivariate prediction of motor diagnosis in Huntington's disease: 12 years of PREDICT‐HD

PubMed Central

Long, Jeffrey D.

2015-01-01

Abstract Background It is well known in Huntington's disease that cytosine‐adenine‐guanine expansion and age at study entry are predictive of the timing of motor diagnosis. The goal of this study was to assess whether additional motor, imaging, cognitive, functional, psychiatric, and demographic variables measured at study entry increased the ability to predict the risk of motor diagnosis over 12 years. Methods One thousand seventy‐eight Huntington's disease gene–expanded carriers (64% female) from the Neurobiological Predictors of Huntington's Disease study were followed up for up to 12 y (mean = 5, standard deviation = 3.3) covering 2002 to 2014. No one had a motor diagnosis at study entry, but 225 (21%) carriers prospectively received a motor diagnosis. Analysis was performed with random survival forests, which is a machine learning method for right‐censored data. Results Adding 34 variables along with cytosine‐adenine‐guanine and age substantially increased predictive accuracy relative to cytosine‐adenine‐guanine and age alone. Adding six of the common motor and cognitive variables (total motor score, diagnostic confidence level, Symbol Digit Modalities Test, three Stroop tests) resulted in lower predictive accuracy than the full set, but still had twice the 5‐y predictive accuracy than when using cytosine‐adenine‐guanine and age alone. Additional analysis suggested interactions and nonlinear effects that were characterized in a post hoc Cox regression model. Conclusions Measurement of clinical variables can substantially increase the accuracy of predicting motor diagnosis over and above cytosine‐adenine‐guanine and age (and their interaction). Estimated probabilities can be used to characterize progression level and aid in future studies' sample selection. © 2015 The Authors. Movement Disorders published by Wiley Periodicals, Inc. on behalf of International Parkinson and Movement Disorder Society PMID:26340420

Multivariate prediction of motor diagnosis in Huntington's disease: 12 years of PREDICT-HD.

PubMed

Long, Jeffrey D; Paulsen, Jane S

2015-10-01

It is well known in Huntington's disease that cytosine-adenine-guanine expansion and age at study entry are predictive of the timing of motor diagnosis. The goal of this study was to assess whether additional motor, imaging, cognitive, functional, psychiatric, and demographic variables measured at study entry increased the ability to predict the risk of motor diagnosis over 12 years. One thousand seventy-eight Huntington's disease gene-expanded carriers (64% female) from the Neurobiological Predictors of Huntington's Disease study were followed up for up to 12 y (mean = 5, standard deviation = 3.3) covering 2002 to 2014. No one had a motor diagnosis at study entry, but 225 (21%) carriers prospectively received a motor diagnosis. Analysis was performed with random survival forests, which is a machine learning method for right-censored data. Adding 34 variables along with cytosine-adenine-guanine and age substantially increased predictive accuracy relative to cytosine-adenine-guanine and age alone. Adding six of the common motor and cognitive variables (total motor score, diagnostic confidence level, Symbol Digit Modalities Test, three Stroop tests) resulted in lower predictive accuracy than the full set, but still had twice the 5-y predictive accuracy than when using cytosine-adenine-guanine and age alone. Additional analysis suggested interactions and nonlinear effects that were characterized in a post hoc Cox regression model. Measurement of clinical variables can substantially increase the accuracy of predicting motor diagnosis over and above cytosine-adenine-guanine and age (and their interaction). Estimated probabilities can be used to characterize progression level and aid in future studies' sample selection. © 2015 The Authors. Movement Disorders published by Wiley Periodicals, Inc. on behalf of International Parkinson and Movement Disorder Society.

Prenatal diagnosis and management of fetal goiter caused by maternal Grave's disease.

PubMed

Hadi, H A; Strickland, D

1995-07-01

We present a case of maternal Grave's disease associated with fetal goitrous hyperthyroidism. Fetal goiter was diagnosed by ultrasound and diagnosis of fetal hyperthyroidism was established by umbilical blood sampling. Fetus was successfully treated by increasing maternal propylthiouracil dosage. Fetal thyroid status was normal at birth. Role of sonography and umbilical blood sampling in management of fetal goiter complicated with maternal Grave's disease is discussed.

Multicentre evaluation of multidisciplinary team meeting agreement on diagnosis in diffuse parenchymal lung disease: a case-cohort study.

PubMed

Walsh, Simon L F; Wells, Athol U; Desai, Sujal R; Poletti, Venerino; Piciucchi, Sara; Dubini, Alessandra; Nunes, Hilario; Valeyre, Dominique; Brillet, Pierre Y; Kambouchner, Marianne; Morais, António; Pereira, José M; Moura, Conceição Souto; Grutters, Jan C; van den Heuvel, Daniel A; van Es, Hendrik W; van Oosterhout, Matthijs F; Seldenrijk, Cornelis A; Bendstrup, Elisabeth; Rasmussen, Finn; Madsen, Line B; Gooptu, Bibek; Pomplun, Sabine; Taniguchi, Hiroyuki; Fukuoka, Junya; Johkoh, Takeshi; Nicholson, Andrew G; Sayer, Charlie; Edmunds, Lilian; Jacob, Joseph; Kokosi, Maria A; Myers, Jeffrey L; Flaherty, Kevin R; Hansell, David M

2016-07-01

Diffuse parenchymal lung disease represents a diverse and challenging group of pulmonary disorders. A consistent diagnostic approach to diffuse parenchymal lung disease is crucial if clinical trial data are to be applied to individual patients. We aimed to evaluate inter-multidisciplinary team agreement for the diagnosis of diffuse parenchymal lung disease. We did a multicentre evaluation of clinical data of patients who presented to the interstitial lung disease unit of the Royal Brompton and Harefield NHS Foundation Trust (London, UK; host institution) and required multidisciplinary team meeting (MDTM) characterisation between March 1, 2010, and Aug 31, 2010. Only patients whose baseline clinical, radiological, and, if biopsy was taken, pathological data were undertaken at the host institution were included. Seven MDTMs, consisting of at least one clinician, radiologist, and pathologist, from seven countries (Denmark, France, Italy, Japan, Netherlands, Portugal, and the UK) evaluated cases of diffuse parenchymal lung disease in a two-stage process between Jan 1, and Oct 15, 2015. First, the clinician, radiologist, and pathologist (if lung biopsy was completed) independently evaluated each case, selected up to five differential diagnoses from a choice of diffuse lung diseases, and chose likelihoods (censored at 5% and summing to 100% in each case) for each of their differential diagnoses, without inter-disciplinary consultation. Second, these specialists convened at an MDTM and reviewed all data, selected up to five differential diagnoses, and chose diagnosis likelihoods. We compared inter-observer and inter-MDTM agreements on patient first-choice diagnoses using Cohen's kappa coefficient (κ). We then estimated inter-observer and inter-MDTM agreement on the probability of diagnosis using weighted kappa coefficient (κw). We compared inter-observer and inter-MDTM confidence of patient first-choice diagnosis. Finally, we evaluated the prognostic significance of a

Flaviviruses in Europe: Complex Circulation Patterns and Their Consequences for the Diagnosis and Control of West Nile Disease

PubMed Central

Beck, Cécile; Jimenez-Clavero, Miguel Angel; Leblond, Agnès; Durand, Benoît; Nowotny, Norbert; Leparc-Goffart, Isabelle; Zientara, Stéphan; Jourdain, Elsa; Lecollinet, Sylvie

2013-01-01

In Europe, many flaviviruses are endemic (West Nile, Usutu, tick-borne encephalitis viruses) or occasionally imported (dengue, yellow fever viruses). Due to the temporal and geographical co-circulation of flaviviruses in Europe, flavivirus differentiation by diagnostic tests is crucial in the adaptation of surveillance and control efforts. Serological diagnosis of flavivirus infections is complicated by the antigenic similarities among the Flavivirus genus. Indeed, most flavivirus antibodies are directed against the highly immunogenic envelope protein, which contains both flavivirus cross-reactive and virus-specific epitopes. Serological assay results should thus be interpreted with care and confirmed by comparative neutralization tests using a panel of viruses known to circulate in Europe. However, antibody cross-reactivity could be advantageous in efforts to control emerging flaviviruses because it ensures partial cross-protection. In contrast, it might also facilitate subsequent diseases, through a phenomenon called antibody-dependent enhancement mainly described for dengue virus infections. Here, we review the serological methods commonly used in WNV diagnosis and surveillance in Europe. By examining past and current epidemiological situations in different European countries, we present the challenges involved in interpreting flavivirus serological tests and setting up appropriate surveillance programs; we also address the consequences of flavivirus circulation and vaccination for host immunity. PMID:24225644

Prognosis of intervertebral disc loss from diagnosis of degenerative disc disease

NASA Astrophysics Data System (ADS)

Li, S.; Lin, A.; Tay, K.; Romano, W.; Osman, Said

2015-03-01

Degenerative Disc Disease (DDD) is one of the most common causes of low back pain, and is a major factor in limiting the quality of life of an individual usually as they enter older stages of life, the disc degeneration reduces the shock absorption available which in turn causes pain. Disc loss is one of the central processes in the pathogenesis of DDD. In this study, we investigated whether the image texture features quantified from magnetic resonance imaging (MRI) could be appropriate markers for diagnosis of DDD and prognosis of inter-vertebral disc loss. The main objective is to use simple image based biomarkers to perform prognosis of spinal diseases using non-invasive procedures. Our results from 65 subjects proved the higher success rates of the combination marker compared to the individual markers and in the future, we will extend the study to other spine regions to allow prognosis and diagnosis of DDD for a wider region.

The association between socioeconomic status and the symptoms at diagnosis of celiac disease: a retrospective cohort study.

PubMed

Roy, Abhik; Mehra, Shilpa; Kelly, Ciarán P; Tariq, Sohaib; Pallav, Kumar; Dennis, Melinda; Peer, Ann; Lebwohl, Benjamin; Green, Peter H R; Leffler, Daniel A

2016-07-01

There are little data on patient factors that impact diagnosis rates of celiac disease. This study aims to evaluate the association between patient socioeconomic status and the symptoms at diagnosis of celiac disease. A total of 872 patients with biopsy-proven celiac disease were categorized based on the presence or absence of (1) diarrhea and (2) any gastrointestinal symptoms at diagnosis. Univariate and multivariate analyses were used to assess the association between socioeconomic status and symptoms. Patients without diarrhea at presentation had a higher mean per capita income (US$34,469 versus US$32,237, p = 0.02), and patients without any gastrointestinal symptoms had a higher mean per capita income (US$36,738 versus US$31,758, p < 0.01) compared with patients having such symptoms. On multivariable analysis adjusting for sex, age, autoimmune or psychiatric comorbidities, and income, per capita income remained a significant predictor of diagnosis without gastrointestinal symptoms (odds ratio: 1.71, 95% confidence interval: 1.17-2.50, p < 0.01), and it showed a trend towards significance in diagnosis without diarrhea (odds ratio: 1.40, 95% confidence interval: 0.98-2.02, p = 0.06). Patients with nonclassical symptoms of celiac disease are less likely to be diagnosed if they are of lower socioeconomic status. Celiac disease may be under-recognized in this population due to socioeconomic factors that possibly include lower rates of health-seeking behavior and access to healthcare.

The role of bronchoscopy in the diagnosis of airway disease

PubMed Central

Dixon, Jennifer; Tieu, Brandon H.

2016-01-01

Endoscopy of the airway is a valuable tool for the evaluation and management of airway disease. It can be used to evaluate many different bronchopulmonary diseases including airway foreign bodies, tumors, infectious and inflammatory conditions, airway stenosis, and bronchopulmonary hemorrhage. Traditionally, options for evaluation were limited to flexible and rigid bronchoscopy. Recently, more sophisticated technology has led to the development of endobronchial ultrasound (EBUS) and electromagnetic navigational bronchoscopy (ENB). These technological advances, combined with increasing provider experience have resulted in a higher diagnostic yield with endoscopic biopsies. This review will focus on the role of bronchoscopy, including EBUS, ENB, and rigid bronchoscopy in the diagnosis of bronchopulmonary diseases. In addition, it will cover the anesthetic considerations, equipment, diagnostic yield, and potential complications. PMID:28149583

Diagnosis and Classification of 17 Diseases from 1404 Subjects via Pattern Analysis of Exhaled Molecules

PubMed Central

2016-01-01

We report on an artificially intelligent nanoarray based on molecularly modified gold nanoparticles and a random network of single-walled carbon nanotubes for noninvasive diagnosis and classification of a number of diseases from exhaled breath. The performance of this artificially intelligent nanoarray was clinically assessed on breath samples collected from 1404 subjects having one of 17 different disease conditions included in the study or having no evidence of any disease (healthy controls). Blind experiments showed that 86% accuracy could be achieved with the artificially intelligent nanoarray, allowing both detection and discrimination between the different disease conditions examined. Analysis of the artificially intelligent nanoarray also showed that each disease has its own unique breathprint, and that the presence of one disease would not screen out others. Cluster analysis showed a reasonable classification power of diseases from the same categories. The effect of confounding clinical and environmental factors on the performance of the nanoarray did not significantly alter the obtained results. The diagnosis and classification power of the nanoarray was also validated by an independent analytical technique, i.e., gas chromatography linked with mass spectrometry. This analysis found that 13 exhaled chemical species, called volatile organic compounds, are associated with certain diseases, and the composition of this assembly of volatile organic compounds differs from one disease to another. Overall, these findings could contribute to one of the most important criteria for successful health intervention in the modern era, viz. easy-to-use, inexpensive (affordable), and miniaturized tools that could also be used for personalized screening, diagnosis, and follow-up of a number of diseases, which can clearly be extended by further development. PMID:28000444

PCR analysis is superior to histology for diagnosis of Whipple's disease mimicking seronegative rheumatic diseases.

PubMed

Lehmann, P; Ehrenstein, B; Hartung, W; Dragonas, C; Reischl, U; Fleck, M

2017-03-01

The diagnosis of Whipple's disease (WD) is commonly confirmed by histology demonstrating Periodic Acid Schiff (PAS)-positive macrophages in the duodenal mucosa. Analysis of intestinal tissue or other specimens using polymerase chain reaction (PCR) is a more sensitive method. However, the relevance of positive PCR findings is still controversial. Therefore, we evaluated the relevance of histology and PCR findings to establishing the diagnosis of WD in a series of WD patients initially presenting with suspected rheumatic diseases. Between 2006 and 2014, 20 patients with seronegative rheumatic diseases tested positive for Tropheryma whipplei (Tw) by PCR and/or histology and were enrolled in a retrospective analysis of the diagnostic value of both procedures. Seven of the 20 cases (35%) were diagnosed with 'classic' WD as indicated by PAS-positive macrophages. In the remaining 13 patients, the presence of Tw was detected by intestinal (n = 10) or synovial PCR analysis (n = 3). Two of the 20 patients (10%) with evidence of Tw did not respond to antibiotic therapy. They were not considered to suffer from WD. Therefore, relying only on histological findings of intestinal biopsies would have missed 11 (61%) of the 18 patients with WD in our cohort. In comparison, PCR of intestinal biopsies detected Tw-DNA in 14 (93%) of the 15 WD patients evaluated. Patients with a positive histology did not differ from PCR-positive patients with regard to sex, age, or duration of disease, but more often presented with gastrointestinal symptoms. A substantial number of WD patients present without typical intestinal histology findings. Additional PCR analysis of intestinal tissue or synovial fluid increased the sensitivity of the diagnostic evaluation and should be considered particularly in patients presenting with atypical seronegative rheumatic diseases and a high-risk profile for WD.

Validation of Antibody-Based Strategies for Diagnosis of Pediatric Celiac Disease Without Biopsy.

PubMed

Wolf, Johannes; Petroff, David; Richter, Thomas; Auth, Marcus K H; Uhlig, Holm H; Laass, Martin W; Lauenstein, Peter; Krahl, Andreas; Händel, Norman; de Laffolie, Jan; Hauer, Almuthe C; Kehler, Thomas; Flemming, Gunter; Schmidt, Frank; Rodrigues, Astor; Hasenclever, Dirk; Mothes, Thomas

2017-08-01

A diagnosis of celiac disease is made based on clinical, genetic, serologic, and duodenal morphology features. Recent pediatric guidelines, based largely on retrospective data, propose omitting biopsy analysis for patients with concentrations of IgA against tissue transglutaminase (IgA-TTG) >10-fold the upper limit of normal (ULN) and if further criteria are met. A retrospective study concluded that measurements of IgA-TTG and total IgA, or IgA-TTG and IgG against deamidated gliadin (IgG-DGL) could identify patients with and without celiac disease. Patients were assigned to categories of no celiac disease, celiac disease, or biopsy required, based entirely on antibody assays. We aimed to validate the positive and negative predictive values (PPV and NPV) of these diagnostic procedures. We performed a prospective study of 898 children undergoing duodenal biopsy analysis to confirm or rule out celiac disease at 13 centers in Europe. We compared findings from serologic analysis with findings from biopsy analyses, follow-up data, and diagnoses made by the pediatric gastroenterologists (celiac disease, no celiac disease, or no final diagnosis). Assays to measure IgA-TTG, IgG-DGL, and endomysium antibodies were performed by blinded researchers, and tissue sections were analyzed by local and blinded reference pathologists. We validated 2 procedures for diagnosis: total-IgA and IgA-TTG (the TTG-IgA procedure), as well as IgG-DGL with IgA-TTG (TTG-DGL procedure). Patients were assigned to categories of no celiac disease if all assays found antibody concentrations <1-fold the ULN, or celiac disease if at least 1 assay measured antibody concentrations >10-fold the ULN. All other cases were considered to require biopsy analysis. ULN values were calculated using the cutoff levels suggested by the test kit manufacturers. HLA typing was performed for 449 participants. We used models that considered how specificity values change with prevalence to extrapolate the PPV and NPV to

A Dirichlet-Multinomial Bayes Classifier for Disease Diagnosis with Microbial Compositions.

PubMed

Gao, Xiang; Lin, Huaiying; Dong, Qunfeng

2017-01-01

Dysbiosis of microbial communities is associated with various human diseases, raising the possibility of using microbial compositions as biomarkers for disease diagnosis. We have developed a Bayes classifier by modeling microbial compositions with Dirichlet-multinomial distributions, which are widely used to model multicategorical count data with extra variation. The parameters of the Dirichlet-multinomial distributions are estimated from training microbiome data sets based on maximum likelihood. The posterior probability of a microbiome sample belonging to a disease or healthy category is calculated based on Bayes' theorem, using the likelihood values computed from the estimated Dirichlet-multinomial distribution, as well as a prior probability estimated from the training microbiome data set or previously published information on disease prevalence. When tested on real-world microbiome data sets, our method, called DMBC (for Dirichlet-multinomial Bayes classifier), shows better classification accuracy than the only existing Bayesian microbiome classifier based on a Dirichlet-multinomial mixture model and the popular random forest method. The advantage of DMBC is its built-in automatic feature selection, capable of identifying a subset of microbial taxa with the best classification accuracy between different classes of samples based on cross-validation. This unique ability enables DMBC to maintain and even improve its accuracy at modeling species-level taxa. The R package for DMBC is freely available at https://github.com/qunfengdong/DMBC. IMPORTANCE By incorporating prior information on disease prevalence, Bayes classifiers have the potential to estimate disease probability better than other common machine-learning methods. Thus, it is important to develop Bayes classifiers specifically tailored for microbiome data. Our method shows higher classification accuracy than the only existing Bayesian classifier and the popular random forest method, and thus provides an

Diagnosis, Treatment, and Prevention of Lyme Disease, Human Granulocytic Anaplasmosis, and Babesiosis: A Review.

PubMed

Sanchez, Edgar; Vannier, Edouard; Wormser, Gary P; Hu, Linden T

2016-04-26

Lyme disease, human granulocytic anaplasmosis (HGA), and babesiosis are emerging tick-borne infections. To provide an update on diagnosis, treatment, and prevention of tick-borne infections. Search of PubMed and Scopus for articles on diagnosis, treatment, and prevention of tick-borne infections published in English from January 2005 through December 2015. The search yielded 3550 articles for diagnosis and treatment and 752 articles for prevention. Of these articles, 361 were reviewed in depth. Evidence supports the use of US Food and Drug Administration-approved serologic tests, such as an enzyme immunoassay (EIA), followed by Western blot testing, to diagnose extracutaneous manifestations of Lyme disease. Microscopy and polymerase chain reaction assay of blood specimens are used to diagnose active HGA and babesiosis. The efficacy of oral doxycycline, amoxicillin, and cefuroxime axetil for treating Lyme disease has been established in multiple trials. Ceftriaxone is recommended when parenteral antibiotic therapy is recommended. Multiple trials have shown efficacy for a 10-day course of oral doxycycline for treatment of erythema migrans and for a 14-day course for treatment of early neurologic Lyme disease in ambulatory patients. Evidence indicates that a 10-day course of oral doxycycline is effective for HGA and that a 7- to 10-day course of azithromycin plus atovaquone is effective for mild babesiosis. Based on multiple case reports, a 7- to 10-day course of clindamycin plus quinine is often used to treat severe babesiosis. A recent study supports a minimum of 6 weeks of antibiotics for highly immunocompromised patients with babesiosis, with no parasites detected on blood smear for at least the final 2 weeks of treatment. Evidence is evolving regarding the diagnosis, treatment, and prevention of Lyme disease, HGA, and babesiosis. Recent evidence supports treating patients with erythema migrans for no longer than 10 days when doxycycline is used and prescription

A survey on computer aided diagnosis for ocular diseases

PubMed Central

2014-01-01

Background Computer Aided Diagnosis (CAD), which can automate the detection process for ocular diseases, has attracted extensive attention from clinicians and researchers alike. It not only alleviates the burden on the clinicians by providing objective opinion with valuable insights, but also offers early detection and easy access for patients. Method We review ocular CAD methodologies for various data types. For each data type, we investigate the databases and the algorithms to detect different ocular diseases. Their advantages and shortcomings are analyzed and discussed. Result We have studied three types of data (i.e., clinical, genetic and imaging) that have been commonly used in existing methods for CAD. The recent developments in methods used in CAD of ocular diseases (such as Diabetic Retinopathy, Glaucoma, Age-related Macular Degeneration and Pathological Myopia) are investigated and summarized comprehensively. Conclusion While CAD for ocular diseases has shown considerable progress over the past years, the clinical importance of fully automatic CAD systems which are able to embed clinical knowledge and integrate heterogeneous data sources still show great potential for future breakthrough. PMID:25175552

Designing and delivering facilitated storytelling interventions for chronic disease self-management: a scoping review.

PubMed

Gucciardi, Enza; Jean-Pierre, Nicole; Karam, Grace; Sidani, Souraya

2016-07-11

Little is known about how to develop and deliver storytelling as an intervention to support those managing chronic illnesses. This scoping review aims to describe the core elements of storytelling interventions in order to help facilitate its implementation. A scoping review was conducted in seven databases for articles published up to May 2014 to identify interventions that describe in detail how storytelling was used to support people in disease self-management interventions. Ten articles met all inclusion criteria. Core elements consistently observed across the storytelling interventions were: reflection and interactive meaning-making of experiences; principles of informality and spontaneity; non-directional and non-hierarchical facilitation; development of group norms and conduct to create a community among participants; and both an individual and collective role for participants. Differences were also observed across interventions, such as: the conceptual frameworks that directed the design of the intervention; the type and training of facilitators; intervention duration; and how session topics were selected and stories delivered. Furthermore, evaluation of the intervention and outcome assessment varied greatly across studies. The use of storytelling can be a novel intervention to enhance chronic disease self-management. The core elements identified in the review inform the development of the intervention to be more patient-centred by guiding participants to take ownership of and lead the intervention, which differs significantly from traditional support groups. Storytelling has the potential to provide patients with a more active role in their health care by identifying their specific needs as well as gaps in knowledge and skills, while allowing them to form strong bonds with peers who share similar disease-related experiences. However, measures of impact differed across interventions given the variation in chronic conditions. Our findings can guide future

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.

Expert diagnosis of plus disease in retinopathy of prematurity from computer-based image analysis

PubMed Central

Campbell, J. Peter; Ataer-Cansizoglu, Esra; Bolon-Canedo, Veronica; Bozkurt, Alican; Erdogmus, Deniz; Kalpathy-Cramer, Jayashree; Patel, Samir N.; Reynolds, James D.; Horowitz, Jason; Hutcheson, Kelly; Shapiro, Michael; Repka, Michael X.; Ferrone, Phillip; Drenser, Kimberly; Martinez-Castellanos, Maria Ana; Ostmo, Susan; Jonas, Karyn; Chan, R.V. Paul; Chiang, Michael F.

2016-01-01

Importance Published definitions of “plus disease” in retinopathy of prematurity (ROP) reference arterial tortuosity and venous dilation within the posterior pole based on a standard published photograph. One possible explanation for limited inter-expert reliability for plus disease diagnosis is that experts deviate from the published definitions. Objective To identify vascular features used by experts for diagnosis of plus disease through quantitative image analysis. Design We developed a computer-based image analysis system (Imaging and Informatics in ROP, i-ROP), and trained the system to classify images compared to a reference standard diagnosis (RSD). System performance was analyzed as a function of the field of view (circular crops 1–6 disc diameters [DD] radius) and vessel subtype (arteries only, veins only, or all vessels). The RSD was compared to the majority diagnosis of experts. Setting Routine ROP screening in neonatal intensive care units at 8 academic institutions. Participants A set of 77 digital fundus images was used to develop the i-ROP system. A subset of 73 images was independently classified by 11 ROP experts for validation. Main Outcome Measures The primary outcome measure was the percentage accuracy of i-ROP system classification of plus disease with the RSD as a function of field-of-view and vessel type. Secondary outcome measures included the accuracy of the 11 experts compared to the RSD. Results Accuracy of plus disease diagnosis by the i-ROP computer based system was highest (95%, confidence interval [CI] 94 – 95%) when it incorporated vascular tortuosity from both arteries and veins, and with the widest field of view (6 disc diameter radius). Accuracy was ≤90% when using only arterial tortuosity (P<0.001), and ≤85% using a 2–3 disc diameter view similar to the standard published photograph (p<0.001). Diagnostic accuracy of the i-ROP system (95%) was comparable to that of 11 expert clinicians (79–99%). Conclusions and

PRES leading to the diagnosis of McArdle disease.

PubMed

Martinez-Thompson, Jennifer M; Pittock, Sean J; Milone, Margherita

2017-12-01

A 35year-old male developed myalgias after moving furniture and was hospitalized with acute renal failure and rhabdomyolysis requiring hemodialysis. He then had several generalized tonic-clonic seizures. Brain MRI showed findings of posterior reversible encephalopathy syndrome (PRES). Interval history revealed easy fatigability and exercise-induced myalgias in childhood but no preceding history of urine discoloration. Quadriceps biopsy showed absent muscle myophosphorylase reactivity consistent with the diagnosis of McArdle disease. With supportive care he improved and the PRES resolved. This case represents an extreme in the spectrum of complications that can occur in McArdle disease, including downstream central nervous system involvement and highlights the importance of early recognition and aggressive management of rhabdomyolysis. Copyright © 2017 Elsevier Ltd. All rights reserved.

Diagnosis, follow-up and treatment of cystic fibrosis-related liver disease.

PubMed

van de Peppel, Ivo P; Bertolini, Anna; Jonker, Johan W; Bodewes, Frank A J A; Verkade, Henkjan J

2017-11-01

To provide an insight and overview of the challenges in the diagnosis, follow-up and treatment of cystic fibrosis-related liver disease (CFLD). The variable pathophysiology of CFLD complicates its diagnosis and treatment. A 'gold standard' for CFLD diagnosis is lacking. Over the past years, new techniques to diagnose features of CFLD, such as transient elastography, have been investigated. Although most of these tests confirm cystic fibrosis-related liver involvement (CFLI), they are, however, not suitable to distinguish various phenotypical presentations or predict progression to clinically relevant cirrhosis or portal hypertension. A combined initiative from the European and the North American Society for Pediatric Gastroenterology, Hepatology and Nutrition has been started, aimed to obtain consensus on CFLD criteria and definitions. Currently, only ursodeoxycholic acid is used in CFLD treatment, although it has not been convincingly demonstrated to change the natural course of the disease. Drugs that directly target cystic fibrosis transmembrane conductance regulator protein dysfunction show promising results; however, more long-term follow-up and validation studies are needed. CFLD is an umbrella term referring to a wide variety of liver manifestations with variable clinical needs and consequences. CFLD with portal hypertension is the most severe form of CFLD due to its significant implications on morbidity and mortality. The clinical relevance of other CFLI is uncertain. Consensus on CFLD definitions is essential to validate new diagnostic tools and therapeutic outcome measures.

Clinical utility of cerebrospinal fluid biomarkers in the diagnosis of early Alzheimer’s disease

PubMed Central

Blennow, Kaj; Dubois, Bruno; Fagan, Anne M.; Lewczuk, Piotr; de Leon, Mony J.; Hampel, Harald

2015-01-01

Several potential disease-modifying drugs for Alzheimer’s disease (AD) have failed to show any effect on disease progression in clinical trials, conceivably because the AD subjects are already too advanced to derive clinical benefit from treatment and because diagnosis based on clinical criteria alone introduces a high misdiagnosis rate. Thus, well-validated biomarkers for early detection and accurate diagnosis are crucial. Low cerebrospinal fluid (CSF) concentrations of the amyloid-β (Aβ1-42) peptide, in combination with high total tau and phosphorylated tau, are sensitive and specific biomarkers highly predictive of progression to AD dementia in patients with mild cognitive impairment. However, interlaboratory variations in the results seen with currently available immunoassays are of concern. Recent worldwide standardization efforts and quality control programs include standard operating procedures for both preanalytical (e.g., lumbar puncture and sample handling) and analytical (e.g., preparation of calibration curve) procedures. Efforts are also ongoing to develop highly reproducible assays on fully automated instruments. These global standardization and harmonization measures will provide the basis for the generalized international application of CSF bio-markers for both clinical trials and routine clinical diagnosis of AD. PMID:24795085

Is intestinal biopsy always needed for diagnosis of celiac disease?

PubMed

Scoglio, Riccardo; Di Pasquale, Giuseppe; Pagano, Giuseppe; Lucanto, Maria Cristina; Magazzù, Giuseppe; Sferlazzas, Concetta

2003-06-01

Intestinal biopsy is required for a diagnosis of celiac disease (CD). The aim of this study was to assess diagnostic accuracy of transglutaminase antibodies (TGA) in comparison and in association with that of antiemdomysial antibodies (AEA), calculating the post-test odds of having the disease, to verify whether some patients might avoid undergoing intestinal biopsy for a diagnosis of CD. A total of 181 consecutive patients (131 < 18 yr), referred to our celiac clinic by primary care physicians for suspect CD. Overall diagnostic accuracy, negative predictive value, and likelihood ratio (LR) were calculated both for each serological test and for serial testing (TGA and after AEA, assuming the post-test probability of TGA as pretest probability of AEA). Both serological determination and histological evaluation were blindly performed. Histology of duodenal mucosa was considered the gold standard. The overall accuracy of TGA and of AEA were 92.8% (89.1-96.6) and 93.4% (89.7-97.0), respectively. The negative predictive value of TGA and AEA were 97.2% (91.9-102.6) and 87.2% (77.7-96.8), respectively. Positive likelihood ratios for TGA and AEA were 3.89 (3.40-4.38) and 7.48 (6.73-8.23), respectively. Serial testing, in groups of patients with prevalence of CD estimated higher than 75%, such as those with classic symptoms of CD, would provide a post-test probability of more than 99%. Our results suggest that serial testing with TGA and AEA might allow, in some cases, the avoidance of intestinal biopsy to confirm the diagnosis of CD.

Diagnosis of gastroenterological diseases by metabolome analysis using gas chromatography-mass spectrometry.

PubMed

Yoshida, Masaru; Hatano, Naoya; Nishiumi, Shin; Irino, Yasuhiro; Izumi, Yoshihiro; Takenawa, Tadaomi; Azuma, Takeshi

2012-01-01

Recently, metabolome analysis has been increasingly applied to biomarker detection and disease diagnosis in medical studies. Metabolome analysis is a strategy for studying the characteristics and interactions of low molecular weight metabolites under a specific set of conditions and is performed using mass spectrometry and nuclear magnetic resonance spectroscopy. There is a strong possibility that changes in metabolite levels reflect the functional status of a cell because alterations in their levels occur downstream of DNA, RNA, and protein. Therefore, the metabolite profile of a cell is more likely to represent the current status of a cell than DNA, RNA, or protein. Thus, owing to the rapid development of mass spectrometry analytical techniques metabolome analysis is becoming an important experimental method in life sciences including the medical field. Here, we describe metabolome analysis using liquid chromatography-mass spectrometry, gas chromatography-mass spectrometry (GC-MS), capillary electrophoresis-mass spectrometry, and matrix assisted laser desorption ionization-mass spectrometry. Then, the findings of studies about GC-MS-based metabolome analysis of gastroenterological diseases are summarized, and our research results are also introduced. Finally, we discuss the realization of disease diagnosis by metabolome analysis. The development of metabolome analysis using mass spectrometry will aid the discovery of novel biomarkers, hopefully leading to the early detection of various diseases.

Metal Nanoparticles for the Treatment and Diagnosis of Neurodegenerative Brain Diseases.

PubMed

Vio, Valentina; Marchant, Maria Jose; Araya, Eyleen; Kogan, Marcelo J

2017-01-01

This review focuses on the application of metal nanoparticles in the diagnosis and treatment of Alzheimer's and Parkinson's diseases. Metal nanoparticles present interesting physicochemical properties that can be applied to increase biomarker detection sensitivities in vitro and in vivo. Furthermore, these nanoparticles could be used in different strategies for the treatment of central nervous system diseases, particularly in regards to drug delivery. Herein, specific potential applications of metal nanoparticles are separately discussed for the contexts of in vitro diagnoses and treatments. Briefly, research using surface plasmon resonance methodologies has mainly used these nanoparticles for the in vitro detection of Aβ and, to a lesser extent, of α-synuclein. Regarding treatment approaches, in vitro studies have focused on using metal nanoparticles to manipulate the Aβ aggregation, thus reducing toxicity. Furthermore, in vivo applications of metal nanoparticles are also discussed, with many of the existing studies focusing on a magnetic nanoparticle-detection of Aβ through magnetic resonance imaging and, to a lesser degree, extension fluorescence techniques. Finally, conclusions and perspectives are provided regarding the real potential for using metal nanoparticles in the treatment and diagnosis of central nervous system diseases. Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.org.

PCR in laboratory diagnosis of human Borrelia burgdorferi infections.

PubMed

Schmidt, B L

1997-01-01

The laboratory diagnosis of Lyme borreliosis, the most prevalent vector-borne disease in the United States and endemic in parts of Europe and Asia, is currently based on serology with known limitations. Direct demonstration of Borrelia burgdorferi by culture may require weeks, while enzyme-linked immunosorbent assays for antigen detection often lack sensitivity. The development of the PCR has offered a new dimension in the diagnosis. Capable of amplifying minute amounts of DNA into billions of copies in just a few hours, PCR facilitates the sensitive and specific detection of DNA or RNA of pathogenic organisms. This review is restricted to applications of PCR methods in the diagnosis of human B. burgdorferi infections. In the first section, methodological aspects, e.g., sample preparation, target selection, primers and PCR methods, and detection and control of inhibition and contamination, are highlighted. In the second part, emphasis is placed on diagnostic aspects, where PCR results in patients with dermatological, neurological, joint, and ocular manifestations of the disease are discussed. Here, special attention is given to monitoring treatment efficacy by PCR tests. Last, specific guidelines on how to interpret PCR results, together with the advantages and limitations of these new techniques, are presented.

Diagnosis and treatment of fetal cardiac disease: a scientific statement from the American Heart Association.

PubMed

Donofrio, Mary T; Moon-Grady, Anita J; Hornberger, Lisa K; Copel, Joshua A; Sklansky, Mark S; Abuhamad, Alfred; Cuneo, Bettina F; Huhta, James C; Jonas, Richard A; Krishnan, Anita; Lacey, Stephanie; Lee, Wesley; Michelfelder, Erik C; Rempel, Gwen R; Silverman, Norman H; Spray, Thomas L; Strasburger, Janette F; Tworetzky, Wayne; Rychik, Jack

2014-05-27

The goal of this statement is to review available literature and to put forth a scientific statement on the current practice of fetal cardiac medicine, including the diagnosis and management of fetal cardiovascular disease. A writing group appointed by the American Heart Association reviewed the available literature pertaining to topics relevant to fetal cardiac medicine, including the diagnosis of congenital heart disease and arrhythmias, assessment of cardiac function and the cardiovascular system, and available treatment options. The American College of Cardiology/American Heart Association classification of recommendations and level of evidence for practice guidelines were applied to the current practice of fetal cardiac medicine. Recommendations relating to the specifics of fetal diagnosis, including the timing of referral for study, indications for referral, and experience suggested for performance and interpretation of studies, are presented. The components of a fetal echocardiogram are described in detail, including descriptions of the assessment of cardiac anatomy, cardiac function, and rhythm. Complementary modalities for fetal cardiac assessment are reviewed, including the use of advanced ultrasound techniques, fetal magnetic resonance imaging, and fetal magnetocardiography and electrocardiography for rhythm assessment. Models for parental counseling and a discussion of parental stress and depression assessments are reviewed. Available fetal therapies, including medical management for arrhythmias or heart failure and closed or open intervention for diseases affecting the cardiovascular system such as twin-twin transfusion syndrome, lung masses, and vascular tumors, are highlighted. Catheter-based intervention strategies to prevent the progression of disease in utero are also discussed. Recommendations for delivery planning strategies for fetuses with congenital heart disease including models based on classification of disease severity and delivery room

Clinical approach to Parkinson's disease: features, diagnosis, and principles of management.

PubMed

Massano, João; Bhatia, Kailash P

2012-06-01

Parkinson's disease (PD) is one of the most common neurodegenerative disorders. The condition causes a heavy burden both on those affected, as well as their families. Accurate diagnosis is critical and remains founded on clinical grounds as no specific diagnostic test is available so far. The clinical picture of PD is typical in many instances; however, features distinguishing it from other disorders should be thoroughly sought. Monogenic forms of PD also have some distinctive characteristics in many cases. This text is a roadmap to accurate diagnosis in PD, as it approaches clinical features, diagnostic methodology, and leading differential diagnoses. Therapeutic issues are also briefly discussed.

[Early diagnosis of Hansen disease: study of the health services in Recife (Pernambuco), Brazil].

PubMed

Feliciano, K V; Kovacs, M H; Alzate, A

1998-07-01

This paper presents the results of a descriptive study carried out in the city of Recife, state of Pernambuco, Brazil, between March and September 1994. The study aimed at health services available for performing early diagnosis of Hansen's disease with emphasis on accessibility and quality of the services provided. The sample consisted of 32 health clinics visited for diagnostic purposes by 183 patients with Hansen's disease. Information on organizational infrastructures was collected by means of interviews with health clinic managers. Information regarding routine procedures in the 32 clinics was collected by observation, with special attention given to archival and inspection activities. A total of 1,998 patients were interviewed to determine accessibility of services. Time spent in consultation with the physician was determined for 1,000 patients who were seen by 123 physicians at the clinics during the interviews. To explore physicians' attitude and knowledge regarding Hansen's disease, 133 were randomly selected from a list of names. The following factors were identified as hindering early diagnosis of Hansen's disease: the large number of people seeking service who could not be seen by a physician on the same day; the long time elapsed between appointment scheduling and the actual visit (for those not seen on the same day); the long wait for the consultation; the brevity of the consultation; the low availability of trained personnel; the low proportion of physicians who examined all body surfaces; difficulties in the clinical recognition of the disease; and physicians not prepared to make a differential diagnosis. These obstacles can precipitate the physical deterioration of Hansen's disease patients and stimulate the persistence of transmissibility; therefore, they need to be overcome if Hansen's disease is to be eliminated.

Diagnosis and classification of Addison's disease (autoimmune adrenalitis).

PubMed

Brandão Neto, Rodrigo Antonio; de Carvalho, Jozélio Freire

2014-01-01

Autoimmune adrenalitis, or autoimmune Addison disease (AAD), is the most prevalent cause of primary adrenal insufficiency in the developed world. AAD is rare and can easily be misdiagnosed as other conditions. The diagnosis depends on demonstrating inappropriately low cortisol production and the presence of high titers of adrenal cortex autoantibodies (ACAs), along with excluding other causes of adrenal failure using other tests as necessary. The treatment corticosteroid replacement, and the prognosis following the treatment is the same as the normal population. Spontaneous recovery of adrenal function has been described but is rare. Copyright © 2014 Elsevier B.V. All rights reserved.

Search and retrieval of medical images for improved diagnosis of neurodegenerative diseases

NASA Astrophysics Data System (ADS)

Ekin, Ahmet; Jasinschi, Radu; Turan, Erman; Engbers, Rene; van der Grond, Jeroen; van Buchem, Mark A.

2007-01-01

In the medical world, the accuracy of diagnosis is mainly affected by either lack of sufficient understanding of some diseases or the inter-, and/or intra-observer variability of the diagnoses. The former requires understanding the progress of diseases at much earlier stages, extraction of important information from ever growing amounts of data, and finally finding correlations with certain features and complications that will illuminate the disease progression. The latter (inter-, and intra- observer variability) is caused by the differences in the experience levels of different medical experts (inter-observer variability) or by mental and physical tiredness of one expert (intra-observer variability). We believe that the use of large databases can help improve the current status of disease understanding and decision making. By comparing large number of patients, some of the otherwise hidden relations can be revealed that results in better understanding, patients with similar complications can be found, the diagnosis and treatment can be compared so that the medical expert can make a better diagnosis. To this effect, this paper introduces a search and retrieval system for brain MR databases and shows that brain iron accumulation shape provides additional information to the shape-insensitive features, such as the total brain iron load, that are commonly used in the clinics. We propose to use Kendall's correlation value to automatically compare various returns to a query. We also describe a fully automated and fast brain MR image analysis system to detect degenerative iron accumulation in brain, as it is the case in Alzheimer's and Parkinson's. The system is composed of several novel image processing algorithms and has been extensively tested in Leiden University Medical Center over so far more than 600 patients.

Seasonal trends of diagnosis of childhood malignant diseases and viral prevalence in South Korea.

PubMed

Shim, Kyu Seok; Kim, Min Hyung; Shim, Choong Nam; Han, Minkyu; Lim, In Seok; Chae, Soo Ahn; Yun, Sin Weon; Lee, Na Mi; Yi, Dae Yong; Kim, Hyery

2017-12-01

Several studies have reported a seasonal trend in the diagnosis of childhood cancer suggesting seasonal factors such as infection. The present study aimed to analyze the diagnosis pattern of childhood malignant diseases using public health data, and to compare this pattern with seasonal viral infection trends. Using the open data source of the Health Insurance Review and Assessment Service, we extracted data regarding all patients under 21 years of age and who had any cancer, aplastic anemia or myelodysplastic syndrome between September 2009 and December 2013. The positive detection rates of 11 viruses was collected from the surveillance data of Korea Centers for Disease Control and Prevention, and seasonality analysis were conducted with both data. In total, 9085 patients were diagnosed with malignant disease during the study period; there were about 175 new cases per month on average. Monthly stacked time series by year showed an apparent seasonal variation with the highest monthly average in January as 236, and the lowest in September as 120. In winter, significantly more patients were diagnosed with acute lymphoblastic leukemia, acute myeloid leukemia, neuroblastoma, and Hodgkin's lymphoma than in other seasons. There was a temporal correlation with the diagnostic trends of several diseases and the prevalence of recent human parainfluenza virus. This study tentatively suggests that the diagnosis of childhood malignancy follows a seasonal trend in Korea, and has a possible correlation with viral prevalence in several diseases. Further long-term analysis of epidemiological data is needed to explore possible causality. Copyright © 2017 Elsevier Ltd. All rights reserved.

Chronic obstructive lung disease "expert system": validation of a predictive tool for assisting diagnosis.

PubMed

Braido, Fulvio; Santus, Pierachille; Corsico, Angelo Guido; Di Marco, Fabiano; Melioli, Giovanni; Scichilone, Nicola; Solidoro, Paolo

2018-01-01

The purposes of this study were development and validation of an expert system (ES) aimed at supporting the diagnosis of chronic obstructive lung disease (COLD). A questionnaire and a WebFlex code were developed and validated in silico. An expert panel pilot validation on 60 cases and a clinical validation on 241 cases were performed. The developed questionnaire and code validated in silico resulted in a suitable tool to support the medical diagnosis. The clinical validation of the ES was performed in an academic setting that included six different reference centers for respiratory diseases. The results of the ES expressed as a score associated with the risk of suffering from COLD were matched and compared with the final clinical diagnoses. A set of 60 patients were evaluated by a pilot expert panel validation with the aim of calculating the sample size for the clinical validation study. The concordance analysis between these preliminary ES scores and diagnoses performed by the experts indicated that the accuracy was 94.7% when both experts and the system confirmed the COLD diagnosis and 86.3% when COLD was excluded. Based on these results, the sample size of the validation set was established in 240 patients. The clinical validation, performed on 241 patients, resulted in ES accuracy of 97.5%, with confirmed COLD diagnosis in 53.6% of the cases and excluded COLD diagnosis in 32% of the cases. In 11.2% of cases, a diagnosis of COLD was made by the experts, although the imaging results showed a potential concomitant disorder. The ES presented here (COLD ES ) is a safe and robust supporting tool for COLD diagnosis in primary care settings.

Motor onset and diagnosis in Huntington disease using the diagnostic confidence level.

PubMed

Liu, Dawei; Long, Jeffrey D; Zhang, Ying; Raymond, Lynn A; Marder, Karen; Rosser, Anne; McCusker, Elizabeth A; Mills, James A; Paulsen, Jane S

2015-12-01

Huntington disease (HD) is a neurodegenerative disorder characterized by motor dysfunction, cognitive deterioration, and psychiatric symptoms, with progressive motor impairments being a prominent feature. The primary objectives of this study are to delineate the disease course of motor function in HD, to provide estimates of the onset of motor impairments and motor diagnosis, and to examine the effects of genetic and demographic variables on the progression of motor impairments. Data from an international multisite, longitudinal observational study of 905 prodromal HD participants with cytosine-adenine-guanine (CAG) repeats of at least 36 and with at least two visits during the followup period from 2001 to 2012 was examined for changes in the diagnostic confidence level from the Unified Huntington's Disease Rating Scale. HD progression from unimpaired to impaired motor function, as well as the progression from motor impairment to diagnosis, was associated with the linear effect of age and CAG repeat length. Specifically, for every 1-year increase in age, the risk of transition in diagnostic confidence level increased by 11% (95% CI 7-15%) and for one repeat length increase in CAG, the risk of transition in diagnostic confidence level increased by 47% (95% CI 27-69%). Findings show that CAG repeat length and age increased the likelihood of the first onset of motor impairment as well as the age at diagnosis. Results suggest that more accurate estimates of HD onset age can be obtained by incorporating the current status of diagnostic confidence level into predictive models.

Epstein-Barr virus and human diseases: recent advances in diagnosis.

PubMed Central

Okano, M; Thiele, G M; Davis, J R; Grierson, H L; Purtilo, D T

1988-01-01

Since the discovery of Epstein-Barr virus (EBV) from a cultured Burkitt's lymphoma cell line in 1964, the virus has been associated with Burkitt's lymphoma, nasopharyngeal carcinoma, and infectious mononucleosis. During the recent decade, EBV has been etiologically implicated in a broad spectrum of human diseases. The precise role of this virus in these diseases is not well understood, but clearly, defective immunosurveillance against the virus may permit an uncontrolled proliferation of EBV-infected cells. As a result, a growing number of cases of EBV-associated B-cell proliferative diseases or lymphoma have been noted in patients with primary and acquired immunodeficiencies. These lymphoproliferative diseases and others, such as chronic mononucleosis syndrome, are leading to new areas of investigation which are providing information regarding the pathogenetic mechanisms of EBV-induced diseases. The early accurate diagnosis of EBV infection can be achieved by performing EBV-specific serology, detecting for EBV-determined nuclear antigen in tissues, establishing spontaneous lymphoid cell lines, and using molecular hybridization techniques for demonstrating the presence of viral genome in affected lesions. Images PMID:2848624

Invasive Non-typhoidal Salmonella Disease – epidemiology, pathogenesis and diagnosis

PubMed Central

Gordon, Melita A

2012-01-01

Purpose of review To highlight and discuss important publications over the past 12 months providing new insights on invasive non-typhoidal Salmonella disease (iNTS). Recent findings There have been informative new estimates of the burden of iNTS in Asia and in high-resource low-incidence settings. Important information has emerged in the last year about the relationships between HIV, malaria, iNTS and typhoid fever in adults and children in Africa. HIV causes susceptibility to iNTS disease, but has been shown to be protective against typhoid fever. Clinical guidelines for presumptive diagnosis frequently fail to identify iNTS disease in Africa, and there remains a need for improved diagnostic tools. Experimental studies in humans have helped us to understand the intracellular pathogenesis of iNTS and to direct the search for appropriate protein vaccine targets. Summary The most important remaining gap in our knowledge is probably an understanding of how NTS are transmitted, and the nature of the relationship between diarrhoeal disease, carriage and invasive disease in Africa, so that diagnostic and prevention tools can be appropriately directed. PMID:21844803

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.

Diagnosis and treatment of heart disease: are women different from men?

PubMed

Xhyheri, Borejda; Bugiardini, Raffaele

2010-01-01

Key questions concerning strategies for diagnosis, prevention, and treatment of heart disease in women remain unanswered. Thrombolytic therapy has been shown to reduce mortality similarly in men and women. In addition, percutaneous coronary intervention for acute coronary syndromes is as effective in women as in men. However, after hospital discharge, medical treatment carries different benefits in men and women. Aspirin has not been definitively proven to prevent cardiovascular events in women. Men and women respond differently to statins. Men may experience a greater benefit than women from angiotensin-converting enzyme inhibitors. β-Blockers substantially improve survival in women, with possibly a greater benefit than in men. Clopidogrel appears to be equally effective in reducing cardiovascular events in both men and women. Our report will review current knowledge supporting sex differences in the diagnosis and treatment of ischemic heart disease. A clear definition of the state of the science, with recognition of the shortcomings of current data, is necessary to guide future research and move the field forward. Copyright © 2010 Elsevier Inc. All rights reserved.

Toward Improving Early Diagnosis of Congenital Chagas Disease in an Endemic Setting.

PubMed

Messenger, Louisa A; Gilman, Robert H; Verastegui, Manuela; Galdos-Cardenas, Gerson; Sanchez, Gerardo; Valencia, Edward; Sanchez, Leny; Malaga, Edith; Rendell, Victoria R; Jois, Malasa; Shah, Vishal; Santos, Nicole; Abastoflor, Maria Del Carmen; LaFuente, Carlos; Colanzi, Rony; Bozo, Ricardo; Bern, Caryn

2017-07-15

Congenital Trypanosoma cruzi transmission is now estimated to account for 22% of new infections, representing a significant public health problem across Latin America and internationally. Treatment during infancy is highly efficacious and well tolerated, but current assays for early detection fail to detect >50% of infected neonates, and 9-month follow-up is low. Women who presented for delivery at 2 urban hospitals in Santa Cruz Department, Bolivia, were screened by rapid test. Specimens from infants of infected women were tested by microscopy (micromethod), quantitative PCR (qPCR), and immunoglobulin (Ig)M trypomastigote excreted-secreted antigen (TESA)-blots at birth and 1 month and by IgG serology at 6 and 9 months. Among 487 infants of 476 seropositive women, congenital T. cruzi infection was detected in 38 infants of 35 mothers (7.8%). In cord blood, qPCR, TESA-blot, and micromethod sensitivities/specificities were 68.6%/99.1%, 58.3%/99.1%, and 16.7%/100%, respectively. When birth and 1-month results were combined, cumulative sensitivities reached 84.2%, 73.7%, and 34.2%, respectively. Low birthweight and/or respiratory distress were reported in 11 (29%) infected infants. Infants with clinical signs had higher parasite loads and were significantly more likely to be detected by micromethod. The proportion of T. cruzi-infected infants with clinical signs has fallen since the 1990s, but symptomatic congenital Chagas disease still represents a significant, albeit challenging to detect, public health problem. Molecular methods could facilitate earlier diagnosis and circumvent loss to follow-up but remain logistically and economically prohibitive for routine screening in resource-limited settings. © The Author 2017. Published by Oxford University Press for the Infectious Diseases Society of America. All rights reserved. For permissions, e-mail: journals.permissions@oup.com

Nutritional status, growth and disease management in children with single and dual diagnosis of type 1 diabetes mellitus and coeliac disease.

PubMed

Mackinder, Mary; Allison, Gavin; Svolos, Vaios; Buchanan, Elaine; Johnston, Alison; Cardigan, Tracey; Laird, Nicola; Duncan, Hazel; Fraser, Karen; Edwards, Christine A; Craigie, Ian; McGrogan, Paraic; Gerasimidis, Konstantinos

2014-05-28

The consequences of subclinical coeliac disease (CD) in Type 1 diabetes mellitus (T1DM) remain unclear. We looked at growth, anthropometry and disease management in children with dual diagnosis (T1DM + CD) before and after CD diagnosis. Anthropometry, glycated haemoglobin (HbA1c) and IgA tissue transglutaminase (tTg) were collected prior to, and following CD diagnosis in 23 children with T1DM + CD. This group was matched for demographics, T1DM duration, age at CD diagnosis and at T1DM onset with 23 CD and 44 T1DM controls. No differences in growth or anthropometry were found between children with T1DM + CD and controls at any time point. Children with T1DM + CD, had higher BMI z-score two years prior to, than at CD diagnosis (p < 0.001). BMI z-score change one year prior to CD diagnosis was lower in the T1DM + CD than the T1DM group (p = 0.009). At two years, height velocity and change in BMI z-scores were similar in all groups. No differences were observed in HbA1c between the T1DM + CD and T1DM groups before or after CD diagnosis. More children with T1DM + CD had raised tTg levels one year after CD diagnosis than CD controls (CDx to CDx + 1 yr; T1DM + CD: 100% to 71%, p = 0.180 and CD: 100% to 45%, p < 0.001); by two years there was no difference. No major nutrition or growth deficits were observed in children with T1DM + CD. CD diagnosis does not impact on T1DM glycaemic control. CD specific serology was comparable to children with single CD, but those with dual diagnosis may need more time to adjust to gluten free diet.

OMOM capsule endoscopy in diagnosis of small bowel disease

PubMed Central

Li, Chen-yi; Zhang, Bing-ling; Chen, Chun-xiao; Li, You-ming

2008-01-01

Objective: To assess the diagnostic efficiency of OMOM capsule endoscopy (CE) in a group of patients with different indications. Methods: Data from 89 consecutive patients (49 males, 40 females) with suspected small bowel disease who underwent OMOM CE (Jinshan Science and Technology Company, Chongqing, China) examination were obtained by retrospective review. The patients’ indications of the disease consisted of the following: obscure gastrointestinal bleeding (OGIB), abdominal pain or diarrhea, partial intestinal obstruction, suspected inflammatory bowel disease, tumor of unknown origin, hypoproteinemia, constipation, weight loss, and elevated tumor markers. Results: CE failed in one patient. Visualization of the entire small bowel was achieved in 75.0%. Capsules were naturally excreted by all patients. The detection rate of abnormalities was 70.5% for patients with suspected small bowel disease, and the diagnostic yield for patients with OGIB was higher than that for patients with abdominal pain or diarrhea (85.7% vs 53.3%, P<0.005). Angiodysplasia was the most common small bowel finding. Active bleeding sites were noted in the small intestine in 11 cases. Conclusion: OMOM CE is a useful diagnostic tool for the diagnosis of variably suspected small bowel disease, whose diagnostic efficiency is similar to that of the Pillcam SB (small bowel) CE (Given Imaging, Yoqneam, Israel). PMID:18988304

Microvillus inclusion disease: prenatal ultrasound findings, molecular diagnosis and genetic counseling of congenital diarrhea.

PubMed

Chen, Chih-Ping; Chiang, Ming-Chou; Wang, Tzu-Hao; Hsueh, Chuen; Chang, Shueen-Dyh; Tsai, Fuu-Jen; Wang, Chao-Ning; Chern, Schu-Rern; Wang, Wayseen

2010-12-01

To present prenatal ultrasound findings and molecular diagnosis of microvillus inclusion disease, and to review the literature of abnormal prenatal ultrasound findings associated with congenital diarrhea. A 21-year-old woman, gravida 1, para 0, had generalized bowel dilation of the fetus on prenatal ultrasound at 29 gestational weeks. She and her husband were non-consanguineous, and there was no family history of congenital diarrhea. Prenatal ultrasound at 29 gestational weeks revealed a honeycomb appearance of the bowel without ascites or intraperitoneal calcification. At 36 gestational weeks, polyhydramnios dilated bowel loops were observed, and a 3,355-g male baby was delivered with a distended abdomen. Postnatally, the neonate suffered from watery diarrhea and abdominal distension but there was no mechanical bowel obstruction. An endoscopic biopsy of the small bowel revealed intracytoplasmic inclusions lined by intact microvilli in the apical surface of the intestinal epithelial cells consistent with the diagnosis of microvillus inclusion disease. Mutation analysis of blood samples of the neonate and parents revealed a heterozygous nonsense mutation of c.445C diagnosis of microvillus inclusion disease in addition to congenital chloride diarrhea and congenital sodium diarrhea. Molecular analysis of the MYO5B gene is helpful in genetic counseling and prenatal diagnosis of recurrent microvillus inclusion disease in subsequent pregnancies. Copyright © 2010 Taiwan Association of Obstetric & Gynecology. Published by Elsevier B.V. All rights reserved.

Diagnosis and management of ischemic heart disease.

PubMed

Lippi, Giuseppe; Franchini, Massimo; Cervellin, Gianfranco

2013-03-01

Ischemic heart disease (IHD) is the leading cause of death and disability worldwide. An early and accurate diagnosis of IHD is necessary to improve outcomes. According to recent guidelines, the diagnosis of acute myocardial infarction (AMI) is based on increased or decreased value of cardiospecific troponins with one measure exceeding the 99th percentile upper reference limit, associated with symptoms suggestive for myocardial ischemia, indicative electrocardiogram abnormalities, and evidence of recent myocardial functional impairment or intracoronary thrombosis. The recent advent of highly sensitive troponin immunoassays has represented a paradigm shift, wherein the improved analytical sensitivity has increased the negative predictive value, while contextually decreasing the diagnostic specificity of these tests. Although several additional biomarkers have been proposed as surrogate or in combination with troponins, there is little evidence that any of these will substantially improve AMI diagnosis. With regard to therapy, early mechanical (i.e., percutaneous coronary intervention, PCI) or pharmacological reperfusion should be performed early in ST-segment elevation myocardial infarction (STEMI) within 12 h of symptom onset, whereas fibrinolysis may be considered in all other circumstances. Patients undergoing primary PCI should also receive a combination of double antiplatelet therapy (i.e., aspirin and adenosine diphosphate receptor blocker), associated with parenteral anticoagulation, preferably with low-molecular-weight heparin. In analogy with STEMI, a wealth of data shows that primary early invasive strategy (i.e., PCI) and antiplatelet therapy remains the cornerstone of management of patients with non-ST segment elevation acute coronary syndrome. Stem cell-based therapy has also emerged as a potentially therapeutic option, and there are ongoing efforts among several investigators to translate basic research into clinical practice. Thieme Medical Publishers

The Intelligent System of Cardiovascular Disease Diagnosis Based on Extension Data Mining

NASA Astrophysics Data System (ADS)

Sun, Baiqing; Li, Yange; Zhang, Lin

This thesis gives the general definition of the concepts of extension knowledge, extension data mining and extension data mining theorem in high dimension space, and also builds the IDSS integrated system by the rough set, expert system and neural network, develops the relevant computer software. From the diagnosis tests, according to the common diseases of myocardial infarctions, angina pectoris and hypertension, and made the test result with physicians, the results shows that the sensitivity, specific and accuracy diagnosis by the IDSS are all higher than the physicians. It can improve the rate of the accuracy diagnosis of physician with the auxiliary help of this system, which have the obvious meaning in low the mortality, disability rate and high the survival rate, and has strong practical values and further social benefits.

The diagnosis and management of cerebrovascular disease in diabetes.

PubMed

Phipps, Michael S; Jastreboff, Ania M; Furie, Karen; Kernan, Walter N

2012-06-01

Cerebrovascular disease is a leading cause of morbidity and mortality in diabetes. Compared with nondiabetic patients, diabetic patients have at least twice the risk for stroke, earlier onset of symptoms, and worse functional outcomes. Approximately 20 % of diabetic patients will die from stroke, making it one of the leading causes of death in this population. Effective strategies for primary and secondary prevention of stroke have been developed in research cohorts that included both diabetic and nondiabetic patients. Nevertheless, prevention in diabetes has some specific considerations. In this paper, we summarize evidence to guide the diagnosis and management of stroke in diabetic patients. We propose that diabetic stroke patients should have a robust risk assessment to target interventions, like other patients with cerebrovascular disease, but with special attention to glycemic control and lifestyle modification.

Imperceptible watermarking for security of fundus images in tele-ophthalmology applications and computer-aided diagnosis of retina diseases.

PubMed

Singh, Anushikha; Dutta, Malay Kishore

2017-12-01

The authentication and integrity verification of medical images is a critical and growing issue for patients in e-health services. Accurate identification of medical images and patient verification is an essential requirement to prevent error in medical diagnosis. The proposed work presents an imperceptible watermarking system to address the security issue of medical fundus images for tele-ophthalmology applications and computer aided automated diagnosis of retinal diseases. In the proposed work, patient identity is embedded in fundus image in singular value decomposition domain with adaptive quantization parameter to maintain perceptual transparency for variety of fundus images like healthy fundus or disease affected image. In the proposed method insertion of watermark in fundus image does not affect the automatic image processing diagnosis of retinal objects & pathologies which ensure uncompromised computer-based diagnosis associated with fundus image. Patient ID is correctly recovered from watermarked fundus image for integrity verification of fundus image at the diagnosis centre. The proposed watermarking system is tested in a comprehensive database of fundus images and results are convincing. results indicate that proposed watermarking method is imperceptible and it does not affect computer vision based automated diagnosis of retinal diseases. Correct recovery of patient ID from watermarked fundus image makes the proposed watermarking system applicable for authentication of fundus images for computer aided diagnosis and Tele-ophthalmology applications. Copyright © 2017 Elsevier B.V. All rights reserved.

Novel medical imaging technologies for disease diagnosis and treatment

NASA Astrophysics Data System (ADS)

Olego, Diego

2009-03-01

New clinical approaches for disease diagnosis, treatment and monitoring will rely on the ability of simultaneously obtaining anatomical, functional and biological information. Medical imaging technologies in combination with targeted contrast agents play a key role in delivering with ever increasing temporal and spatial resolution structural and functional information about conditions and pathologies in cardiology, oncology and neurology fields among others. This presentation will review the clinical motivations and physics challenges in on-going developments of new medical imaging techniques and the associated contrast agents. Examples to be discussed are: *The enrichment of computer tomography with spectral sensitivity for the diagnosis of vulnerable sclerotic plaque. *Time of flight positron emission tomography for improved resolution in metabolic characterization of pathologies. *Magnetic particle imaging -a novel imaging modality based on in-vivo measurement of the local concentration of iron oxide nano-particles - for blood perfusion measurement with better sensitivity, spatial resolution and 3D real time acquisition. *Focused ultrasound for therapy delivery.

Facilitated versus self-guided training of non-ophthalmologists for grading pre-plus and plus disease using fundus images for retinopathy of prematurity screening

PubMed Central

Raufi, Nikolas N.; Morris, Caleb K.; Freedman, Sharon F.; Wallace, David K.; Prakalapakorn, S. Grace

2016-01-01

Purpose Retinopathy of prematurity (ROP) is an important cause of preventable blindness; barriers to screening necessitate novel approaches. While trained non-ophthalmologists can accurately grade retinal images for ROP, effective training protocols are not established. This study compares the effectiveness of facilitated versus self-guided training of non-ophthalmologists for grading retinal images for pre-plus or plus disease in ROP. Methods Forty-eight undergraduate and graduate students were trained to grade retinal images for the presence of pre-plus or plus disease. Students were randomly assigned to one of two training protocols. Both utilized identical electronic slideshows; one guided by an in-person facilitator, and the other was self-guided. After completing their respective training, students proficient in grading pre-plus and plus disease graded images in a telemedicine screening scenario. Accuracy of grading was compared to the reference standard of clinical examination. Results 83% (40/48) of trained students (91% in the facilitated vs. 77% in the self-guided group, p=0.26) were proficient and qualified to grade the ROP telemedicine screening scenario. Median accuracy for grading normal, pre-plus or plus disease was 69% (70% in the facilitated vs. 68% in the self-guided group, p=0.91). When considering the designation of pre-plus or plus disease by graders as a screening test for detecting plus disease (confirmed on clinical exam), the median sensitivity and specificity of all students was 95% and 64%, respectively. Conclusions Both facilitated- and self-guided teaching protocols yielded similar performance in ROP image grading for pre-plus or plus disease. Self-guided training protocols may be adequate to train non-ophthalmologists to grade retinal images for pre-plus and plus disease with high sensitivity. PMID:27224953

Relatives' attitudes towards informing patients about the diagnosis of Alzheimer's disease

PubMed Central

Pucci, E; Belardinelli, N; Borsetti, G; Giuliani, G

2003-01-01

Objectives: To evaluate relatives' attitudes towards informing patients with Alzheimer's disease (AD) about their diagnosis. Setting: A university hospital in Italy. Methods: The closest relatives of each of 71 subjects diagnosed for the first time as having AD were interviewed, using a semistructured questionnaire. Spontaneous requests by relatives not to communicate issues concerning the diagnosis were also recorded. Results: Forty three (60.6%) relatives spontaneously requested that patients not be fully informed. After being interviewed, nobody thought that the patient should be given all the information. Justifications were related to the fear of the onset or worsening of depressive symptoms in the patient. Conclusions: In Italy relatives' opposition to informing AD patients appears to be common. Knowledge of the relatives' attitudes may be useful for clinicians but disclosure of diagnosis should be based on the clinical evaluation of the patient and on a prudent evaluation of the relationship between the patient and her/his relative caregiver. PMID:12569197

Head Lice: Diagnosis

MedlinePlus

... Treatment FAQs Malathion FAQs Epidemiology & Risk Factors Disease Biology Diagnosis Treatment Prevention & Control Resources for Health Professionals ... Frequently Asked Questions (FAQs) Epidemiology & Risk Factors Disease Biology Diagnosis Treatment Prevention & Control Resources for Health Professionals ...

Body Lice Diagnosis

MedlinePlus

... Treatment FAQs Malathion FAQs Epidemiology & Risk Factors Disease Biology Diagnosis Treatment Prevention & Control Resources for Health Professionals ... Frequently Asked Questions (FAQs) Epidemiology & Risk Factors Disease Biology Diagnosis Treatment Prevention & Control Resources for Health Professionals ...

Diagnosis and treatment of Graves disease.

PubMed

Streetman, Darcie D; Khanderia, Ujjaini

2003-01-01

To review the etiology, diagnosis, and clinical presentation of Graves disease and provide an overview of the standard and adjunctive treatments. Specifically, antithyroid drugs, beta-blockers, inorganic iodide, lithium, and radioactive iodine are discussed, focusing on current controversies. Primary articles were identified through a MEDLINE search (1966-July 2000). Key word searches included beta-blockers, Graves disease, inorganic iodide, lithium, methimazole, and propylthiouracil. Additional articles from these sources and endocrinology textbooks were also identified. We agreed to include articles that would highlight the most relevant points, as well as current areas of controversy. Graves disease is the most common cause of hyperthyroidism. The 3 main treatment options for patients with Graves hyperthyroidism include antithyroid drugs, radioactive iodine, and surgery. Although the antithyroid drugs propylthiouracil (PTU) and methimazole (MMI) have similar efficacy, there are situations when 1 agent is preferred. MMI has a longer half-life than PTU, allowing once-daily dosing that can improve patient adherence to treatment. PTU has historically been the drug of choice for treating pregnant and breast-feeding women because of its limited transfer into the placenta and breast milk. Adjuvant therapies for Graves disease include beta-blockers, inorganic iodide, and lithium. beta-Blockers are used to decrease the symptoms of hyperthyroidism. Inorganic iodide is primarily used to prepare patients for thyroid surgery because of its ability to decrease the vascularity of the thyroid gland. Lithium, which acts in a manner similar to iodine, is not routinely used due to its transient effect and the risk of potentially serious adverse effects. In the US, radioiodine therapy has become the preferred treatment for adults with Graves disease. It is easy to administer, safe, effective, and more affordable than long-term treatment with antithyroid drugs. Hypothyroidism is an

Diagnosis of Chronic Kidney Disease Based on Support Vector Machine by Feature Selection Methods.

PubMed

Polat, Huseyin; Danaei Mehr, Homay; Cetin, Aydin

2017-04-01

As Chronic Kidney Disease progresses slowly, early detection and effective treatment are the only cure to reduce the mortality rate. Machine learning techniques are gaining significance in medical diagnosis because of their classification ability with high accuracy rates. The accuracy of classification algorithms depend on the use of correct feature selection algorithms to reduce the dimension of datasets. In this study, Support Vector Machine classification algorithm was used to diagnose Chronic Kidney Disease. To diagnose the Chronic Kidney Disease, two essential types of feature selection methods namely, wrapper and filter approaches were chosen to reduce the dimension of Chronic Kidney Disease dataset. In wrapper approach, classifier subset evaluator with greedy stepwise search engine and wrapper subset evaluator with the Best First search engine were used. In filter approach, correlation feature selection subset evaluator with greedy stepwise search engine and filtered subset evaluator with the Best First search engine were used. The results showed that the Support Vector Machine classifier by using filtered subset evaluator with the Best First search engine feature selection method has higher accuracy rate (98.5%) in the diagnosis of Chronic Kidney Disease compared to other selected methods.

Accuracy of diagnosis criteria in patients with suspected diagnosis of sporadic Creutzfeldt-Jakob disease and detection of 14-3-3 protein, France, 1992 to 2009

PubMed Central

Peckeu, Laurene; Delasnerie-Lauprètre, Nicole; Brandel, Jean-Philippe; Salomon, Dominique; Sazdovitch, Véronique; Laplanche, Jean-Louis; Duyckaerts, Charles; Seilhean, Danielle; Haïk, Stéphane; Hauw, Jean-Jacques

2017-01-01

Diagnostic criteria of Creutzfeldt–Jakob disease (CJD), a rare and fatal transmissible nervous system disease with public health implications, are determined by clinical data, electroencephalogram (EEG), detection of 14-3-3 protein in cerebrospinal fluid (CSF), brain magnetic resonance imaging and prion protein gene examination. The specificity of protein 14-3-3 has been questioned. We reviewed data from 1,572 autopsied patients collected over an 18-year period (1992–2009) and assessed whether and how 14-3-3 detection impacted the diagnosis of sporadic CJD in France, and whether this led to the misdiagnosis of treatable disorders. 14-3-3 detection was introduced into diagnostic criteria for CJD in 1998. Diagnostic accuracy decreased from 92% for the 1992–1997 period to 85% for the 1998–2009 period. This was associated with positive detections of 14-3-3 in cases with negative EEG and alternative diagnosis at autopsy. Potentially treatable diseases were found in 163 patients (10.5%). This study confirms the usefulness of the recent modification of diagnosis criteria by the addition of the results of CSF real-time quaking-induced conversion, a method based on prion seed-induced misfolding and aggregation of recombinant prion protein substrate that has proven to be a highly specific test for diagnosis of sporadic CJD. PMID:29043964

Estimation of Direct Melanoma-related Costs by Disease Stage and by Phase of Diagnosis and Treatment According to Clinical Guidelines.

PubMed

Buja, Alessandra; Sartor, Gino; Scioni, Manuela; Vecchiato, Antonella; Bolzan, Mario; Rebba, Vincenzo; Sileni, Vanna Chiarion; Palozzo, Angelo Claudio; Montesco, Maria; Del Fiore, Paolo; Baldo, Vincenzo; Rossi, Carlo Riccardo

2018-02-07

Cutaneous melanoma is a major concern in terms of healthcare systems and economics. The aim of this study was to estimate the direct costs of melanoma by disease stage, phase of diagnosis, and treatment according to the pre-set clinical guidelines drafted by the AIOM (Italian Medical Oncological Association). Based on the AIOM guidelines for malignant cutaneous melanoma, a highly detailed decision-making model was developed describing the patient's pathway from diagnosis through the subsequent phases of disease staging, surgical and medical treatment, and follow-up. The model associates each phase potentially involving medical procedures with a likelihood measure and a cost, thus enabling an estimation of the expected costs by disease stage and clinical phase of melanoma diagnosis and treatment according to the clinical guidelines. The mean per-patient cost of the whole melanoma pathway (including one year of follow-up) ranged from €149 for stage 0 disease to €66,950 for stage IV disease. The costs relating to each phase of the disease's diagnosis and treatment depended on disease stage. It is essential to calculate the direct costs of managing malignant cutaneous melanoma according to clinical guidelines in order to estimate the economic burden of this disease and to enable policy-makers to allocate appropriate resources.

Diagnosis of hyperthyroidism in cats with mild chronic kidney disease.

PubMed

Wakeling, J; Moore, K; Elliott, J; Syme, H

2008-06-01

In cats with concurrent hyperthyroidism and non-thyroidal illnesses such as chronic kidney disease, total thyroxine concentrations are often within the laboratory reference range (19 to 55 nmol/l). The objective of the study was to determine total thyroxine, free thyroxine and/or thyroid-stimulating hormone concentrations in cats with mild chronic kidney disease. Total thyroxine, free thyroxine and thyroid-stimulating hormone were measured in three groups. The hyperthyroidism-chronic kidney disease group (n=16) had chronic kidney disease and clinical signs compatible with hyperthyroidism but a plasma total thyroxine concentration within the reference range. These cats were subsequently confirmed to be hyperthyroid at a later date. The chronic kidney disease-only group (n=20) had chronic kidney disease but no signs of hyperthyroidism. The normal group (n=20) comprised clinically healthy senior (>8 years) cats. In 4 of 20 euthyroid chronic kidney disease cats, free thyroxine concentrations were borderline or high (> or =40 pmol/l). In the hyperthyroidism-chronic kidney disease group, free thyroxine was high in 15 of 16 cats, while thyroid-stimulating hormone was low in 16 of 16 cats. Most hyperthyroidism-chronic kidney disease cats (14 of 16) had total thyroxine greater than 30 nmol/l, whereas all the chronic kidney disease-only cats had total thyroxine less than 30 nmol/l. The combined measurement of free thyroxine with total thyroxine or thyroid-stimulating hormone may be of merit in the diagnosis of hyperthyroidism in cats with chronic kidney disease.

The Use of 18F-FDG-PET/CT for Diagnosis and Treatment Monitoring of Inflammatory and Infectious Diseases

PubMed Central

Glaudemans, Andor W. J. M.; de Vries, Erik F. J.; Dierckx, Rudi A. J. O.; Slart, Riemer H. J. A.; Signore, Alberto

2013-01-01

FDG-PET, combined with CT, is nowadays getting more and more relevant for the diagnosis of several infectious and inflammatory diseases and particularly for therapy monitoring. Thus, this paper gives special attention to the role of FDG-PET/CT in the diagnosis and therapy monitoring of infectious and inflammatory diseases. Enough evidence in the literature already exists about the usefulness of FDG-PET/CT in the diagnosis, management, and followup of patients with sarcoidosis, spondylodiscitis, and vasculitis. For other diseases, such as inflammatory bowel diseases, rheumatoid arthritis, autoimmune pancreatitis, and fungal infections, hard evidence is lacking, but studies also point out that FDG-PET/CT could be useful. It is of invaluable importance to have large prospective multicenter studies in this field to provide clear answers, not only for the status of nuclear medicine in general but also to reduce high costs of treatment. PMID:24027590

Rapid and reliable diagnosis of Wilson disease using X-ray fluorescence.

PubMed

Kaščáková, Slávka; Kewish, Cameron M; Rouzière, Stéphan; Schmitt, Françoise; Sobesky, Rodolphe; Poupon, Joël; Sandt, Christophe; Francou, Bruno; Somogyi, Andrea; Samuel, Didier; Jacquemin, Emmanuel; Dubart-Kupperschmitt, Anne; Nguyen, Tuan Huy; Bazin, Dominique; Duclos-Vallée, Jean-Charles; Guettier, Catherine; Le Naour, François

2016-07-01

Wilson's disease (WD) is a rare autosomal recessive disease due to mutations of the gene encoding the copper-transporter ATP7B. The diagnosis is hampered by the variability of symptoms induced by copper accumulation, the inconstancy of the pathognomonic signs and the absence of a reliable diagnostic test. We investigated the diagnostic potential of X-ray fluorescence (XRF) that allows quantitative analysis of multiple elements. Studies were performed on animal models using Wistar rats (n = 10) and Long Evans Cinnamon (LEC) rats (n = 11), and on human samples including normal livers (n = 10), alcohol cirrhosis (n = 8), haemochromatosis (n = 10), cholestasis (n = 6) and WD (n = 22). XRF experiments were first performed using synchrotron radiation to address the elemental composition at the cellular level. High-resolution mapping of tissue sections allowed measurement of the intensity and the distribution of copper, iron and zinc while preserving the morphology. Investigations were further conducted using a laboratory X-ray source for irradiating whole pieces of tissue. The sensitivity of XRF was highlighted by the discrimination of LEC rats from wild type even under a regimen using copper deficient food. XRF on whole formalin-fixed paraffin embedded needle biopsies allowed profiling of the elements in a few minutes. The intensity of copper related to iron and zinc significantly discriminated WD from other genetic or chronic liver diseases with 97.6% specificity and 100% sensitivity. This study established a definite diagnosis of Wilson's disease based on XRF. This rapid and versatile method can be easily implemented in a clinical setting.

Cardiac Magnetic Resonance Imaging for the Diagnosis of Coronary Artery Disease

PubMed Central

2010-01-01

Executive Summary In July 2009, the Medical Advisory Secretariat (MAS) began work on Non-Invasive Cardiac Imaging Technologies for the Diagnosis of Coronary Artery Disease (CAD), an evidence-based review of the literature surrounding different cardiac imaging modalities to ensure that appropriate technologies are accessed by patients suspected of having CAD. This project came about when the Health Services Branch at the Ministry of Health and Long-Term Care asked MAS to provide an evidentiary platform on effectiveness and cost-effectiveness of non-invasive cardiac imaging modalities. After an initial review of the strategy and consultation with experts, MAS identified five key non-invasive cardiac imaging technologies for the diagnosis of CAD. Evidence-based analyses have been prepared for each of these five imaging modalities: cardiac magnetic resonance imaging, single photon emission computed tomography, 64-slice computed tomographic angiography, stress echocardiography, and stress echocardiography with contrast. For each technology, an economic analysis was also completed (where appropriate). A summary decision analytic model was then developed to encapsulate the data from each of these reports (available on the OHTAC and MAS website). The Non-Invasive Cardiac Imaging Technologies for the Diagnosis of Coronary Artery Disease series is made up of the following reports, which can be publicly accessed at the MAS website at: www.health.gov.on.ca/mas or at www.health.gov.on.ca/english/providers/program/mas/mas_about.html Single Photon Emission Computed Tomography for the Diagnosis of Coronary Artery Disease: An Evidence-Based Analysis Stress Echocardiography for the Diagnosis of Coronary Artery Disease: An Evidence-Based Analysis Stress Echocardiography with Contrast for the Diagnosis of Coronary Artery Disease: An Evidence-Based Analysis 64-Slice Computed Tomographic Angiography for the Diagnosis of Coronary Artery Disease: An Evidence-Based Analysis Cardiac

Current Guidelines, Common Clinical Pitfalls, and Future Directions for Laboratory Diagnosis of Lyme Disease, United States.

PubMed

Moore, Andrew; Nelson, Christina; Molins, Claudia; Mead, Paul; Schriefer, Martin

2016-07-01

In the United States, Lyme disease is caused by Borrelia burgdorferi and transmitted to humans by blacklegged ticks. Patients with an erythema migrans lesion and epidemiologic risk can receive a diagnosis without laboratory testing. For all other patients, laboratory testing is necessary to confirm the diagnosis, but proper interpretation depends on symptoms and timing of illness. The recommended laboratory test in the United States is 2-tiered serologic analysis consisting of an enzyme-linked immunoassay or immunofluorescence assay, followed by reflexive immunoblotting. Sensitivity of 2-tiered testing is low (30%-40%) during early infection while the antibody response is developing (window period). For disseminated Lyme disease, sensitivity is 70%-100%. Specificity is high (>95%) during all stages of disease. Use of other diagnostic tests for Lyme disease is limited. We review the rationale behind current US testing guidelines, appropriate use and interpretation of tests, and recent developments in Lyme disease diagnostics.

Multidisciplinary approach to the diagnosis and management of patients with peripheral arterial disease

PubMed Central

Walker, Craig M; Bunch, Frank T; Cavros, Nick G; Dippel, Eric J

2015-01-01

Peripheral arterial disease (PAD) is frequently diagnosed after permanent damage has occurred, resulting in a high rate of morbidity, amputation, and loss of life. Early and ongoing diagnosis and treatment is required for this progressive disease. Lifestyle modifications can prevent or delay disease progression and improve symptoms. Limb-sparing endovascular interventions can restore circulation based on appropriate diagnostic testing to pinpoint vascular targets, and intervention must occur as early as possible to ensure optimal clinical outcomes. An algorithm for the diagnosis and management of PAD was developed to enable a collaborative approach between the family practice and primary care physician or internist and various specialists that may include a diabetologist, endocrinologist, smoking cessation expert, hypertension and lipid specialist, endovascular interventionalist, vascular surgeon, orthopedist, neurologist, nurse practitioner, podiatrist, wound healing expert, and/or others. A multidisciplinary team working together has the greatest chance of providing optimal care for the patient with PAD and ensuring ongoing surveillance of the patient’s overall health, ultimately resulting in better quality of life and increased longevity for patients with PAD. PMID:26203234

A Review of the Centers for Disease Control and Prevention's Guidelines for the Clinical Laboratory Diagnosis of Lyme Disease.

PubMed

Miraglia, Caterina M

2016-12-01

The purpose of this paper is to review information regarding the current guidelines for the clinical laboratory diagnosis of Lyme disease as set forth by the Centers for Disease Control and Prevention (CDC) to chiropractic physicians and to discuss the clinical utility of this testing. The CDC's website was reviewed to determine what their current recommendations are for the clinical laboratory testing of Lyme disease. The CDC's established guidelines recommend the use of a 2-tiered serologic testing algorithm for the evaluation of patients with suspected Lyme disease. This review provides doctors of chiropractic with information to remain current with the CDC's recommended guidelines for Lyme disease testing because patients may present to their office with the associated signs and symptoms of Lyme disease.

Prenatal diagnosis of glycogen storage disease type 1a by single stranded conformation polymorphism (SSCP).

PubMed

Parvari, R; Hershkovitz, E; Carmi, R; Moses, S

1996-09-01

Glycogen storage disease type 1a (GSD 1a), a severe metabolic disorder, is caused by the absence of glucose-6-phosphatase (G6Pase) activity. Diagnosis is currently established by demonstrating the lack of G6Pase activity in the patient's liver specimen. Enzymatic diagnosis cannot be performed in chorionic villi or amniocytes as G6Pase is active only in the liver, kidney, and intestinal mucosa. Recent cloning of the G6Pase gene and subsequent identification of the mutations causing GSD 1a have led to the possibility of performing DNA-based diagnosis in chorionic villus samples (CVS) or amniocytes. Here we report the first DNA-based prenatal diagnosis in two families in whom GSD 1a patients were diagnosed. In one Jewish family with a previously identified R83C mutation, single-stranded conformation polymorphism (SSCP) analysis of the DNA extracted from CVS showed a homozygous R83C mutant pattern. As a result, the pregnancy was terminated and the diagnosis was confirmed on DNA analysis of the aborted fetus. In another family of Arabic extraction in which a V166G mutation has been identified in one of the siblings, SSCP analysis performed on DNA extracted from CVS presented the pattern of a normal control. The pregnancy was carried to term and a healthy baby was born. Thus, once mutations causing the disease are identified, prenatal diagnosis of GSD 1a is possible. SSCP analysis of DNA prepared from CVS is reliable, simple and fast, making it a suitable method for prenatal diagnosis.

SVM feature selection based rotation forest ensemble classifiers to improve computer-aided diagnosis of Parkinson disease.

PubMed

Ozcift, Akin

2012-08-01

Parkinson disease (PD) is an age-related deterioration of certain nerve systems, which affects movement, balance, and muscle control of clients. PD is one of the common diseases which affect 1% of people older than 60 years. A new classification scheme based on support vector machine (SVM) selected features to train rotation forest (RF) ensemble classifiers is presented for improving diagnosis of PD. The dataset contains records of voice measurements from 31 people, 23 with PD and each record in the dataset is defined with 22 features. The diagnosis model first makes use of a linear SVM to select ten most relevant features from 22. As a second step of the classification model, six different classifiers are trained with the subset of features. Subsequently, at the third step, the accuracies of classifiers are improved by the utilization of RF ensemble classification strategy. The results of the experiments are evaluated using three metrics; classification accuracy (ACC), Kappa Error (KE) and Area under the Receiver Operating Characteristic (ROC) Curve (AUC). Performance measures of two base classifiers, i.e. KStar and IBk, demonstrated an apparent increase in PD diagnosis accuracy compared to similar studies in literature. After all, application of RF ensemble classification scheme improved PD diagnosis in 5 of 6 classifiers significantly. We, numerically, obtained about 97% accuracy in RF ensemble of IBk (a K-Nearest Neighbor variant) algorithm, which is a quite high performance for Parkinson disease diagnosis.

Practical Diagnosis and Management of Dementia Due to Alzheimer’s Disease in the Primary Care Setting: An Evidence-Based Approach

PubMed Central

Kerwin, Diana R.

2013-01-01

Objective: To review evidence-based guidance on the primary care of Alzheimer’s disease and clinical research on models of primary care for Alzheimer’s disease to present a practical summary for the primary care physician regarding the assessment and management of the disease. Data Sources: References were obtained via search using keywords Alzheimer’s disease AND primary care OR collaborative care OR case finding OR caregivers OR guidelines. Articles were limited to English language from January 1, 1990, to January 1, 2013. Study Selection: Articles were reviewed and selected on the basis of study quality and pertinence to this topic, covering a broad range of data and opinion across geographical regions and systems of care. The most recent published guidelines from major organizations were included. Results: Practice guidelines contained numerous points of consensus, with most advocating a central role for the primary care physician in the detection, diagnosis, and treatment of Alzheimer’s disease. Review of the literature indicated that optimal medical and psychosocial care for people with Alzheimer’s disease and their caregivers may be best facilitated through collaborative models of care involving the primary care physician working within a wider interdisciplinary team. Conclusions: Evidence-based guidelines assign the primary care physician a critical role in the care of people with Alzheimer’s disease. Research on models of care suggests the need for an appropriate medical/nonmedical support network to fulfill this role. Given the diversity and breadth of services required and the necessity for close coordination, nationwide implementation of team-based, collaborative care programs may represent the best option for improving care standards for patients with Alzheimer’s disease. PMID:24392252

Factors associated with growth disturbance at celiac disease diagnosis in children: a retrospective cohort study.

PubMed

Nurminen, Samuli; Kivelä, Laura; Taavela, Juha; Huhtala, Heini; Mäki, Markku; Kaukinen, Katri; Kurppa, Kalle

2015-10-06

Impaired growth is a well-known complication in celiac disease, but factors associated with it are poorly known. We investigated this issue in a large cohort of children. 530 children with biopsy-proven celiac disease were included. The participants were divided into two groups on the basis of the presence (n = 182) or absence (n = 348) of growth disturbance at diagnosis. Histological, serological and clinical characteristics were compared between children with growth failure and those with normal growth. Further, patients with growth failure as the sole clinical presentation were compared to those with poor growth and concomitant other symptoms. Children with growth failure were younger (p < 0.001) and had lower hemoglobin (p = 0.016) and higher celiac antibody (p < 0.001), alanine aminotransferase (p = 0.035) and thyroid-stimulating hormone values (p = 0.013) than those with normal growth. Significantly associated with growth failure at diagnosis were age <3 years (OR 4.3 (95 % CI 2.5-7.5) vs older age), diagnosis before the year 2000 and in 2000-09 (OR 3.1 (1.8-5.4) and OR 1.8 (1.1-2.8) vs diagnosis in 2010-2013), presence of total and subtotal villous atrophy (OR 4.2 (2.5-7.0) and OR 2.0 (1.3-3.2) vs partial atrophy), severe symptoms (OR 3.4 (1.8-6.7) vs mild symptoms) and vomiting (OR 3.1 (1.5-6.3). The presence of abdominal pain reduced the risk (OR 0.5 (0.3-0.7)), while there was no effect of gender, diarrhea, constipation, other chronic diseases and celiac disease in the family. Children evincing poor growth as the sole clinical presentation were older (p < 0.001) and had higher hemoglobin (P < 0.001) and total iron (p = 0.010) values and lower TG2ab values (p = 0.009) than those with growth disturbance and other symptoms. In particular young age and severe clinical and histological presentation were associated with growth disturbance at celiac disease diagnosis. Children with only poor growth are markedly

Diagnosis and management of endometriosis: the role of the advanced practice nurse in primary care.

PubMed

Mao, Alexandra J; Anastasi, Joyce K

2010-02-01

To discuss the etiology, clinical presentation, diagnosis, and management of endometriosis for the advanced practice nurse (APN) in primary care. Selected research, clinical studies, clinical practice guidelines, and review articles. Commonly encountered by the APN in primary care, endometriosis is a chronic, progressive inflammatory disease characterized by endometrial lesions, cysts, fibrosis, or adhesions in the pelvic cavity, causing chronic pelvic pain and infertility in women of reproductive age. Because of its frequently normal physical examination findings, variable clinical presentations, and nonspecific, overlapping symptoms with other conditions, endometriosis can be difficult to diagnose. As there currently are no accurate noninvasive diagnostic tests specific for endometriosis, it is imperative for the APN to become knowledgeable about the etiology, clinical presentation, diagnosis, and current treatment options of this disease. The APN in primary care plays an essential role in health promotion through disease management and infertility prevention by providing support and much needed information to the patient with endometriosis. APNs can also facilitate quality of care and manage treatments effectively to improve quality of life, reduce pain, and prevent further progression of disease. Practice recommendations include timely diagnosis, pain management, infertility counseling, patient education, and support for quality of life issues.

British Society for Medical Mycology best practice recommendations for the diagnosis of serious fungal diseases.

PubMed

Schelenz, Silke; Barnes, Rosemary A; Barton, Richard C; Cleverley, Joanne R; Lucas, Sebastian B; Kibbler, Christopher C; Denning, David W

2015-04-01

Invasive fungal diseases are an important cause of morbidity and mortality in a wide range of patients, and early diagnosis and management are a challenge. We therefore did a review of the scientific literature to generate a series of key recommendations for the appropriate use of microbiological, histological, and radiological diagnostic methods for diagnosis of invasive fungal diseases. The recommendations emphasise the role of microscopy in rapid diagnosis and identification of clinically significant isolates to species level, and the need for susceptibility testing of all Aspergillus spp, if treatment is to be given. In this Review, we provide information to improve understanding of the importance of antigen detection for cryptococcal disease and invasive aspergillosis, the use of molecular (PCR) diagnostics for aspergillosis, and the crucial role of antibody detection for chronic and allergic aspergillosis. Furthermore, we consider the importance of histopathology reporting with a panel of special stains, and emphasise the need for urgent (<48 hours) and optimised imaging for patients with suspected invasive fungal infection. All 43 recommendations are auditable and should be used to ensure best diagnostic practice and improved outcomes for patients. Copyright © 2015 Elsevier Ltd. All rights reserved.

Gestational Trophoblastic Disease Diagnosis Delayed by the Hook Effect.

PubMed

Cormano, Julia; Mackay, Gillian; Holschneider, Christine

2015-10-01

A "hook effect" resulting from saturation of antibodies used in pregnancy tests can occur at human chorionic gonadotropin (hCG) levels above 500,000 milliinternational units/mL, resulting in falsely negative values. A 34-year-old woman, gravida 5 para 3, presented to the emergency department after heavy bleeding. Ultrasonogram revealed a uterine mass, urine pregnancy test result was negative, and endometrial biopsy inconclusive. The patient was discharged and presented 10 days later with recurrent bleeding. Urine pregnancy test result was again negative, but serum hCG was 581 milliinternational units/mL. Serial dilution revealed an actual hCG higher than 5 million milliinternational units/mL. She was diagnosed with gestational trophoblastic disease. Awareness of the risk of a false-negative pregnancy test result when hCG levels are extremely high may prevent delayed diagnosis of gestational trophoblastic disease.

Stress echocardiography for the diagnosis of coronary artery disease: an evidence-based analysis.

PubMed

2010-01-01

In July 2009, the Medical Advisory Secretariat (MAS) began work on Non-Invasive Cardiac Imaging Technologies for the Diagnosis of Coronary Artery Disease (CAD), an evidence-based review of the literature surrounding different cardiac imaging modalities to ensure that appropriate technologies are accessed by patients suspected of having CAD. This project came about when the Health Services Branch at the Ministry of Health and Long-Term Care asked MAS to provide an evidentiary platform on effectiveness and cost-effectiveness of non-invasive cardiac imaging modalities.After an initial review of the strategy and consultation with experts, MAS identified five key non-invasive cardiac imaging technologies for the diagnosis of CAD. Evidence-based analyses have been prepared for each of these five imaging modalities: cardiac magnetic resonance imaging, single photon emission computed tomography, 64-slice computed tomographic angiography, stress echocardiography, and stress echocardiography with contrast. For each technology, an economic analysis was also completed (where appropriate). A summary decision analytic model was then developed to encapsulate the data from each of these reports (available on the OHTAC and MAS website).The Non-Invasive Cardiac Imaging Technologies for the Diagnosis of Coronary Artery Disease series is made up of the following reports, which can be publicly accessed at the MAS website at: www.health.gov.on.ca/mas">www.health.gov.on.ca/mas or at www.health.gov.on.ca/english/providers/program/mas/mas_about.htmlSINGLE PHOTON EMISSION COMPUTED TOMOGRAPHY FOR THE DIAGNOSIS OF CORONARY ARTERY DISEASE: An Evidence-Based AnalysisSTRESS ECHOCARDIOGRAPHY FOR THE DIAGNOSIS OF CORONARY ARTERY DISEASE: An Evidence-Based AnalysisSTRESS ECHOCARDIOGRAPHY WITH CONTRAST FOR THE DIAGNOSIS OF CORONARY ARTERY DISEASE: An Evidence-Based Analysis64-Slice Computed Tomographic Angiography for the Diagnosis of Coronary Artery Disease: An Evidence-Based Analysis

Association of magnetic resonance imaging findings and histologic diagnosis in dogs with nasal disease: 78 cases (2001-2004).

PubMed

Miles, Macon S; Dhaliwal, Ravinder S; Moore, Michael P; Reed, Ann L

2008-06-15

OBJECTIVE-To determine whether magnetic resonance imaging (MRI) features correlated with histologic diagnosis in dogs with nasal disease. DESIGN-Retrospective case series. ANIMALS-78 Dogs undergoing MRI for evaluation of nasal disease. PROCEDURES-Medical records and MRI reports of dogs were reviewed to identify MRI features associated with histologic diagnosis. Features evaluated were presence of a mass effect, frontal sinus involvement, sphenoid sinus involvement, maxillary recess involvement, nasopharyngeal infiltration by soft tissue, nasal turbinate destruction, vomer bone lysis, paranasal bone destruction, cribriform plate erosion, and lesion extent (ie, unilateral vs bilateral). RESULTS-33 Dogs had neoplastic disease, 38 had inflammatory rhinitis, and 7 had fungal rhinitis. Lesion extent was not significantly associated with histologic diagnosis. Absence of a mass effect was significantly associated with inflammatory disease. However, presence of a mass was not specific for neoplasia. In dogs with evidence of a mass on magnetic resonance (MR) images, nasal turbinate destruction, frontal sinus invasion, and maxillary recess invasion were not useful in distinguishing neoplastic from nonneoplastic disease, but cribriform plate erosion, vomer bone lysis, paranasal bone destruction, sphenoid sinus invasion, and nasopharyngeal invasion were. CONCLUSIONS AND CLINICAL RELEVANCE-Results suggested that in dogs with nasal disease, the lack of a mass effect on MR images was significantly associated with inflammatory disease. In dogs with a mass effect on MR images, vomer bone lysis, cribriform plate erosion, paranasal bone destruction, sphenoid sinus invasion by a mass, and nasopharyngeal invasion by a mass were significantly associated with a diagnosis of neoplasia.

Impact of esophagogastroduodenoscopy and ileocolonoscopy on diagnosis and therapy in patients with rheumatic diseases-a retrospective cohort study.

PubMed

Schäfer, Valentin Sebastian; Fleck, Martin; Ehrenstein, Boris; Peters, Ann-Kathrin; Hartung, Wolfgang

2016-07-01

Many rheumatic diseases as well as their medications may cause gastrointestinal (GI) pathologies; in addition, some primary GI diseases may contribute or lead to rheumatic disease manifestations. The aim of this study is to analyze the clinical relevance of esophagogastroduodenoscopy (EGD) and ileocolonoscopy (IC) in patients suffering from inflammatory rheumatic diseases. A retrospective chart review was performed for all rheumatological inpatients who underwent EGD and/or IC within 2 years. Within 2 years, 456 patients (261 female, 195 male) underwent 752 endoscopic investigations of the GI tract (419 EGDs and 333 ICs). Of all patients, 152 (33.3%) did not report any GI complaints. However, 28 of these asymptomatic patients (18.4%) suffered from esophagitis, a gastric ulcer could be identified in 20 patients (13%), whereas unspecific colitis was diagnosed in 19 patients (12.5%). In addition, 14 patients (9.2%) suffered from clinically unapparent Crohn's disease and two patients from Whipple's disease. In one patient with polymyalgia rheumatica, colon cancer was diagnosed. Altogether 304 patients reported GI complaints. Of these, 292 (39%) endoscopic investigations had impact on the final diagnosis or therapeutic strategy. The antirheumatic medication or the concomitant medication was changed in 18% of the patients due to the endoscopic findings; in 29 patients (6.5%) the initially clinically presumed diagnosis had to be corrected. In 70 patients (15%) with an undefined rheumatic diagnosis prior to endoscopy, endoscopic findings were decisive to establish the final diagnosis. EGD and IC have a high diagnostic impact on patients with rheumatic diseases presenting with or without concomitant GI symptoms.

A framework for responding to coral disease outbreaks that facilitates adaptive management.

PubMed

Beeden, Roger; Maynard, Jeffrey A; Marshall, Paul A; Heron, Scott F; Willis, Bette L

2012-01-01

Predicted increases in coral disease outbreaks associated with climate change have implications for coral reef ecosystems and the people and industries that depend on them. It is critical that coral reef managers understand these implications and have the ability to assess and reduce risk, detect and contain outbreaks, and monitor and minimise impacts. Here, we present a coral disease response framework that has four core components: (1) an early warning system, (2) a tiered impact assessment program, (3) scaled management actions and (4) a communication plan. The early warning system combines predictive tools that monitor the risk of outbreaks of temperature-dependent coral diseases with in situ observations provided by a network of observers who regularly report on coral health and reef state. Verified reports of an increase in disease prevalence trigger a tiered response of more detailed impact assessment, targeted research and/or management actions. The response is scaled to the risk posed by the outbreak, which is a function of the severity and spatial extent of the impacts. We review potential management actions to mitigate coral disease impacts and facilitate recovery, considering emerging strategies unique to coral disease and more established strategies to support reef resilience. We also describe approaches to communicating about coral disease outbreaks that will address common misperceptions and raise awareness of the coral disease threat. By adopting this framework, managers and researchers can establish a community of practice and can develop response plans for the management of coral disease outbreaks based on local needs. The collaborations between managers and researchers we suggest will enable adaptive management of disease impacts following evaluating the cost-effectiveness of emerging response actions and incrementally improving our understanding of outbreak causation.

A Framework for Responding to Coral Disease Outbreaks that Facilitates Adaptive Management

NASA Astrophysics Data System (ADS)

Beeden, Roger; Maynard, Jeffrey A.; Marshall, Paul A.; Heron, Scott F.; Willis, Bette L.

2012-01-01

Predicted increases in coral disease outbreaks associated with climate change have implications for coral reef ecosystems and the people and industries that depend on them. It is critical that coral reef managers understand these implications and have the ability to assess and reduce risk, detect and contain outbreaks, and monitor and minimise impacts. Here, we present a coral disease response framework that has four core components: (1) an early warning system, (2) a tiered impact assessment program, (3) scaled management actions and (4) a communication plan. The early warning system combines predictive tools that monitor the risk of outbreaks of temperature-dependent coral diseases with in situ observations provided by a network of observers who regularly report on coral health and reef state. Verified reports of an increase in disease prevalence trigger a tiered response of more detailed impact assessment, targeted research and/or management actions. The response is scaled to the risk posed by the outbreak, which is a function of the severity and spatial extent of the impacts. We review potential management actions to mitigate coral disease impacts and facilitate recovery, considering emerging strategies unique to coral disease and more established strategies to support reef resilience. We also describe approaches to communicating about coral disease outbreaks that will address common misperceptions and raise awareness of the coral disease threat. By adopting this framework, managers and researchers can establish a community of practice and can develop response plans for the management of coral disease outbreaks based on local needs. The collaborations between managers and researchers we suggest will enable adaptive management of disease impacts following evaluating the cost-effectiveness of emerging response actions and incrementally improving our understanding of outbreak causation.

Accuracy of nursing diagnosis "readiness for enhanced hope" in patients with chronic kidney disease.

PubMed

Silva, Renan Alves; Melo, Geórgia Alcântara Alencar; Caetano, Joselany Áfio; Lopes, Marcos Venícios Oliveira; Butcher, Howard Karl; Silva, Viviane Martins da

2017-07-06

To analyse the accuracy of the nursing diagnosis readiness for enhanced hope in patients with chronic kidney disease. This is a cross-sectional study with 62 patients in the haemodialysis clinic conducted from August to November 2015. The Hearth Hope Scale was used to create definitions of the defining characteristics of the North American Nursing Diagnosis Association International. We analysed the measures of sensitivity, specificity, predictive value, likelihood ratio, and odds ratio of the defining characteristics of the diagnosis. Of the characteristics, 82.22% presented the diagnosis. The defining characteristics "Expresses the desire to enhance congruency of expectations with desires" and "Expresses the desire to enhance problem solving to meet goals" increased the chance of having the diagnosis by eleven and five, respectively. The characteristics, "Expresses desire to enhance congruency of expectations with desires" and "Expresses desire to enhance problem solving to meet goals" had good accuracy measures.

Asia Pacific Consensus Statements on Crohn's disease. Part 1: Definition, diagnosis, and epidemiology: (Asia Pacific Crohn's Disease Consensus--Part 1).

PubMed

Ooi, Choon Jin; Makharia, Govind K; Hilmi, Ida; Gibson, Peter R; Fock, Kwong Ming; Ahuja, Vineet; Ling, Khoon Lin; Lim, Wee Chian; Thia, Kelvin T; Wei, Shu-chen; Leung, Wai Keung; Koh, Poh Koon; Gearry, Richard B; Goh, Khean Lee; Ouyang, Qin; Sollano, Jose; Manatsathit, Sathaporn; de Silva, H Janaka; Rerknimitr, Rungsun; Pisespongsa, Pises; Abu Hassan, Muhamad Radzi; Sung, Joseph; Hibi, Toshifumi; Boey, Christopher C M; Moran, Neil; Leong, Rupert W L

2016-01-01

Inflammatory bowel disease (IBD) was previously thought to be rare in Asia, but emerging data indicate rising incidence and prevalence of IBD in the region. The Asia Pacific Working Group on Inflammatory Bowel Disease was established in Cebu, Philippines, at the Asia Pacific Digestive Week conference in 2006 under the auspices of the Asian Pacific Association of Gastroenterology with the goal of developing best management practices, coordinating research, and raising awareness of IBD in the region. The consensus group previously published recommendations for the diagnosis and management of ulcerative colitis with specific relevance to the Asia-Pacific region. The present consensus statements were developed following a similar process to address the epidemiology, diagnosis, and management of Crohn's disease. The goals of these statements are to pool the pertinent literature specifically highlighting relevant data and conditions in the Asia-Pacific region relating to the economy, health systems, background infectious diseases, differential diagnoses, and treatment availability. It does not intend to be all comprehensive and future revisions are likely to be required in this ever-changing field. © 2015 Journal of Gastroenterology and Hepatology Foundation and Wiley Publishing Asia Pty Ltd.

Computer-Based Image Analysis for Plus Disease Diagnosis in Retinopathy of Prematurity: Performance of the "i-ROP" System and Image Features Associated With Expert Diagnosis.

PubMed

Ataer-Cansizoglu, Esra; Bolon-Canedo, Veronica; Campbell, J Peter; Bozkurt, Alican; Erdogmus, Deniz; Kalpathy-Cramer, Jayashree; Patel, Samir; Jonas, Karyn; Chan, R V Paul; Ostmo, Susan; Chiang, Michael F

2015-11-01

We developed and evaluated the performance of a novel computer-based image analysis system for grading plus disease in retinopathy of prematurity (ROP), and identified the image features, shapes, and sizes that best correlate with expert diagnosis. A dataset of 77 wide-angle retinal images from infants screened for ROP was collected. A reference standard diagnosis was determined for each image by combining image grading from 3 experts with the clinical diagnosis from ophthalmoscopic examination. Manually segmented images were cropped into a range of shapes and sizes, and a computer algorithm was developed to extract tortuosity and dilation features from arteries and veins. Each feature was fed into our system to identify the set of characteristics that yielded the highest-performing system compared to the reference standard, which we refer to as the "i-ROP" system. Among the tested crop shapes, sizes, and measured features, point-based measurements of arterial and venous tortuosity (combined), and a large circular cropped image (with radius 6 times the disc diameter), provided the highest diagnostic accuracy. The i-ROP system achieved 95% accuracy for classifying preplus and plus disease compared to the reference standard. This was comparable to the performance of the 3 individual experts (96%, 94%, 92%), and significantly higher than the mean performance of 31 nonexperts (81%). This comprehensive analysis of computer-based plus disease suggests that it may be feasible to develop a fully-automated system based on wide-angle retinal images that performs comparably to expert graders at three-level plus disease discrimination. Computer-based image analysis, using objective and quantitative retinal vascular features, has potential to complement clinical ROP diagnosis by ophthalmologists.

LORD: a phenotype-genotype semantically integrated biomedical data tool to support rare disease diagnosis coding in health information systems.

PubMed

Choquet, Remy; Maaroufi, Meriem; Fonjallaz, Yannick; de Carrara, Albane; Vandenbussche, Pierre-Yves; Dhombres, Ferdinand; Landais, Paul

Characterizing a rare disease diagnosis for a given patient is often made through expert's networks. It is a complex task that could evolve over time depending on the natural history of the disease and the evolution of the scientific knowledge. Most rare diseases have genetic causes and recent improvements of sequencing techniques contribute to the discovery of many new diseases every year. Diagnosis coding in the rare disease field requires data from multiple knowledge bases to be aggregated in order to offer the clinician a global information space from possible diagnosis to clinical signs (phenotypes) and known genetic mutations (genotype). Nowadays, the major barrier to the coding activity is the lack of consolidation of such information scattered in different thesaurus such as Orphanet, OMIM or HPO. The Linking Open data for Rare Diseases (LORD) web portal we developed stands as the first attempt to fill this gap by offering an integrated view of 8,400 rare diseases linked to more than 14,500 signs and 3,270 genes. The application provides a browsing feature to navigate through the relationships between diseases, signs and genes, and some Application Programming Interfaces to help its integration in health information systems in routine.