Predictors of fitness to practise declarations in UK medical undergraduates.

PubMed

Paton, Lewis W; Tiffin, Paul A; Smith, Daniel; Dowell, Jon S; Mwandigha, Lazaro M

2018-04-05

Misconduct during medical school predicts subsequent fitness to practise (FtP) events in doctors, but relatively little is known about which factors are associated with such issues during undergraduate education. This study exploits the newly created UK medical education database (UKMED), with the aim of identifying predictors of conduct or health-related issues that could potentially impair FtP. The findings would have implications for policies related to both the selection and support of medical students. Data were available for 14,379 students obtaining provisional registration with the General Medical Council who started medical school in 2007 and 2008. FtP declarations made by students were available, as were various educational and demographic predictor variables, including self-report 'personality measures' for students who participated in UK Clinical Aptitude Test (UKCAT) pilot studies. Univariable and multivariable logistic regression models were developed to evaluate the predictors of FtP declarations. Significant univariable predictors (p < 0.05) for conduct-related declarations included male gender, white ethnicity and a non-professional parental background. Male gender (OR 3.07) and higher 'self-esteem' (OR 1.45) were independently associated with an increased risk of a conduct issue. Female gender, a non-professional background, and lower self-reported 'confidence' were, among others, associated with increased odds of a health-related declaration. Only 'confidence' was a significant independent predictor of a health declaration (OR 0.69). Female gender, higher UKCAT score, a non-professional background and lower 'confidence' scores were significant predictors of reported depression, and the latter two variables were independent predictors of declared depression. White ethnicity and UK nationality were associated with increased odds of both conduct and health-related declarations, as were certain personality traits. Students from non-professional backgrounds may be at increased risk of depression and therefore could benefit from targeted support. The small effect sizes observed for the 'personality measures' suggest they would offer little potential benefit for selection, over and above those measures already in use.

A study of education and KSAOs on career entry for product engineers: What employers really want

NASA Astrophysics Data System (ADS)

Thornburgh, James

The purpose of the study was to investigate the ways that employers of product engineers evaluate potential employees' job readiness, and which theories related to the education-work transaction are supported by practice. This study used a mixed methods approach and consisted of a state-wide survey (N=106) and local interviews (N=8). The results of the research indicate that attributes of both the Theory of Individual Differences and Credentialing Theory are present in the hiring practices of product engineers. Consistent with the Theory of Individual Differences, employers indicate they look for evidence of various job-related Knowledge, Skills, Abilities, and Other attributes (KSAOs) and they indicate they are willing to hire applicants who have less than a bachelor's degree. Consistent with Credentialing Theory, employers advertise a formal education minimum which represents only one way that individuals may learn to be an engineer. This study also confirmed prior research that most employers use primarily non-evidence based predictors to evaluate applicants. The primary initial screening predictors were experience, GPA, and major, while the primary finalist selection predictors were unstructured interviews, and applications, followed by structured interviews, job knowledge tests, and work sample test. Contrary to previous findings, this study did not find any major differences between what HR professionals, engineering managers, or other manager look for in terms of qualifications or what predictors they use when evaluating applicants for product engineer positions.

The role of empathy and emotional intelligence in nurses' communication attitudes using regression models and fuzzy-set qualitative comparative analysis models.

PubMed

Giménez-Espert, María Del Carmen; Prado-Gascó, Vicente Javier

2018-03-01

To analyse link between empathy and emotional intelligence as a predictor of nurses' attitudes towards communication while comparing the contribution of emotional aspects and attitudinal elements on potential behaviour. Nurses' attitudes towards communication, empathy and emotional intelligence are key skills for nurses involved in patient care. There are currently no studies analysing this link, and its investigation is needed because attitudes may influence communication behaviours. Correlational study. To attain this goal, self-reported instruments (attitudes towards communication of nurses, trait emotional intelligence (Trait Emotional Meta-Mood Scale) and Jefferson Scale of Nursing Empathy (Jefferson Scale Nursing Empathy) were collected from 460 nurses between September 2015-February 2016. Two different analytical methodologies were used: traditional regression models and fuzzy-set qualitative comparative analysis models. The results of the regression model suggest that cognitive dimensions of attitude are a significant and positive predictor of the behavioural dimension. The perspective-taking dimension of empathy and the emotional-clarity dimension of emotional intelligence were significant positive predictors of the dimensions of attitudes towards communication, except for the affective dimension (for which the association was negative). The results of the fuzzy-set qualitative comparative analysis models confirm that the combination of high levels of cognitive dimension of attitudes, perspective-taking and emotional clarity explained high levels of the behavioural dimension of attitude. Empathy and emotional intelligence are predictors of nurses' attitudes towards communication, and the cognitive dimension of attitude is a good predictor of the behavioural dimension of attitudes towards communication of nurses in both regression models and fuzzy-set qualitative comparative analysis. In general, the fuzzy-set qualitative comparative analysis models appear to be better predictors than the regression models are. To evaluate current practices, establish intervention strategies and evaluate their effectiveness. The evaluation of these variables and their relationships are important in creating a satisfied and sustainable workforce and improving quality of care and patient health. © 2018 John Wiley & Sons Ltd.

Evaluating the performance of different predictor strategies in regression-based downscaling with a focus on glacierized mountain environments

NASA Astrophysics Data System (ADS)

Hofer, Marlis; Nemec, Johanna

2016-04-01

This study presents first steps towards verifying the hypothesis that uncertainty in global and regional glacier mass simulations can be reduced considerably by reducing the uncertainty in the high-resolution atmospheric input data. To this aim, we systematically explore the potential of different predictor strategies for improving the performance of regression-based downscaling approaches. The investigated local-scale target variables are precipitation, air temperature, wind speed, relative humidity and global radiation, all at a daily time scale. Observations of these target variables are assessed from three sites in geo-environmentally and climatologically very distinct settings, all within highly complex topography and in the close proximity to mountain glaciers: (1) the Vernagtbach station in the Northern European Alps (VERNAGT), (2) the Artesonraju measuring site in the tropical South American Andes (ARTESON), and (3) the Brewster measuring site in the Southern Alps of New Zealand (BREWSTER). As the large-scale predictors, ERA interim reanalysis data are used. In the applied downscaling model training and evaluation procedures, particular emphasis is put on appropriately accounting for the pitfalls of limited and/or patchy observation records that are usually the only (if at all) available data from the glacierized mountain sites. Generalized linear models and beta regression are investigated as alternatives to ordinary least squares regression for the non-Gaussian target variables. By analyzing results for the three different sites, five predictands and for different times of the year, we look for systematic improvements in the downscaling models' skill specifically obtained by (i) using predictor data at the optimum scale rather than the minimum scale of the reanalysis data, (ii) identifying the optimum predictor allocation in the vertical, and (iii) considering multiple (variable, level and/or grid point) predictor options combined with state-of-art empirical feature selection tools. First results show that in particular for air temperature, those downscaling models based on direct predictor selection show comparative skill like those models based on multiple predictors. For all other target variables, however, multiple predictor approaches can considerably outperform those models based on single predictors. Including multiple variable types emerges as the most promising predictor option (in particular for wind speed at all sites), even if the same predictor set is used across the different cases.

Mapping current and potential distribution of non-native Prosopis juliflora in the Afar region of Ethiopia

USGS Publications Warehouse

Wakie, Tewodros; Evangelista, Paul H.; Jarnevich, Catherine S.; Laituri, Melinda

2014-01-01

We used correlative models with species occurrence points, Moderate Resolution Imaging Spectroradiometer (MODIS) vegetation indices, and topo-climatic predictors to map the current distribution and potential habitat of invasive Prosopis juliflora in Afar, Ethiopia. Time-series of MODIS Enhanced Vegetation Indices (EVI) and Normalized Difference Vegetation Indices (NDVI) with 250 m2 spatial resolution were selected as remote sensing predictors for mapping distributions, while WorldClim bioclimatic products and generated topographic variables from the Shuttle Radar Topography Mission product (SRTM) were used to predict potential infestations. We ran Maxent models using non-correlated variables and the 143 species-occurrence points. Maxent generated probability surfaces were converted into binary maps using the 10-percentile logistic threshold values. Performances of models were evaluated using area under the receiver-operating characteristic (ROC) curve (AUC). Our results indicate that the extent of P. juliflora invasion is approximately 3,605 km2 in the Afar region (AUC = 0.94), while the potential habitat for future infestations is 5,024 km2 (AUC = 0.95). Our analyses demonstrate that time-series of MODIS vegetation indices and species occurrence points can be used with Maxent modeling software to map the current distribution of P. juliflora, while topo-climatic variables are good predictors of potential habitat in Ethiopia. Our results can quantify current and future infestations, and inform management and policy decisions for containing P. juliflora. Our methods can also be replicated for managing invasive species in other East African countries.

Association Between Undergraduate Performance Predictors and Academic and Clinical Performance of Osteopathic Medical Students.

PubMed

Agahi, Farshad; Speicher, Mark R; Cisek, Grace

2018-02-01

Medical schools use a variety of preadmission indices to select potential students. These indices generally include undergraduate grade point average (GPA), Medical College Admission Test (MCAT) scores, and preadmission interviews. To investigate whether the admission indices used by Midwestern University Arizona College of Osteopathic Medicine are associated with the academic and clinical performance of their students. Associations between the prematriculation variables of undergraduate science GPA, undergraduate total GPA, MCAT component scores, and interview scores and the academic and clinical variables of the first- and second-year medical school GPA, Comprehensive Osteopathic Medical Licensing Examination-USA (COMLEX-USA) Level 1 and Level 2-Cognitive Evaluation (CE) total and discipline scores, scores in clinical rotations for osteopathic competencies, COMLEX-USA Level 2-Performance Evaluation passage, and match status were evaluated. Two-tailed Pearson product-moment correlations with a Bonferroni adjustment were used to examine these relationships. The traditional predictors of science and total undergraduate GPA as well as total and component MCAT scores had small to moderate associations with first- and second-year GPA, as well as COMLEX-USA Level 1 and Level 2-CE total scores. Of all predictors, only the MCAT biological sciences score had a statistically significant correlation with failure of the COMLEX-USA Level 2-Performance Evaluation examination (P=.009). Average interview scores were associated only with the osteopathic competency of medical knowledge (r=0.233; n=209; P=.001), as assessed by clerkship preceptors. No predictors were associated with scores in objective structured clinical encounters or with failing to match to a residency position. The data indicate that traditional predictors of academic performance (undergraduate GPA, undergraduate science GPA, and MCAT scores) have small to moderate association with medical school grades and performance on COMLEX-USA Level 1 and Level 2-CE. This finding requires additional research into the value of the interview in the medical school admissions process and the availability of alternatives that allow better prediction and assessment of applicant performance.

Relationship among Demographic Variables and Pupils' Reasoning Ability

ERIC Educational Resources Information Center

Tella, Adeyinka; Tella, Adedeji; Adika, L. O.; Toyobo, Majekodunmi Oluwole

2008-01-01

Introduction: Pupils reasoning ability is a sine-qua-non to the evaluation of their performance in learning and an indicator of their potential predictors of future performance. Method: The study examined the relationship among demographic variables and reasoning ability of primary school pupils. It drew four hundred pupils from ten (10)…

Minimally Invasive Radiation Biodosimetry and Evaluation of Organ Responses

DTIC Science & Technology

2016-10-01

radiation exposure, potentially leading to Acute Radiation Syndromes (ARS) and Delayed Effects of Acute ...underlying conditions and inherent variations. 2. KEYWORDS Radiation Biodosimetry, Radiation Biomarkers, microRNA, Acute Radiation Syndromes ... syndromes and delayed effects of acute radiation exposure. We expect to identify the circulating miRNA biomarkers as early predictors of late effects

Evaluating and Developing Vocational Potential of Institutionalized Retarded Adolescents.

ERIC Educational Resources Information Center

Parnicky, Joseph J., Ed.; Kahn, Harris, Ed.

Vocational performance predictors were tested with 437 mildly retarded students (mean age 18 1/2, mean IQ 64) in a five-stage training situation progressing from half to full day and from on to off campus. Findings demonstrated considerable overlap as well as some independence among measures. High degrees of reliability and intercorrelation were…

Patient or treatment centre? Where are efforts invested to improve cancer patients' psychosocial outcomes?

PubMed Central

Carey, ML; Clinton-McHarg, T; Sanson-Fisher, RW; Campbell, S; Douglas, HE

2011-01-01

The psychosocial outcomes of cancer patients may be influenced by individual-level, social and treatment centre predictors. This paper aimed to examine the extent to which individual, social and treatment centre variables have been examined as predictors or targets of intervention for psychosocial outcomes of cancer patients. Medline was searched to find studies in which the psychological outcomes of cancer patient were primary variables. Papers published in English between 1999 and 2009 that reported primary data relevant to psychosocial outcomes for cancer patients were included, with 20% randomly selected for further coding. Descriptive studies were coded for inclusion of individual, social or treatment centre variables. Intervention studies were coded to determine if the unit of intervention was the individual patient, social unit or treatment centre. After random sampling, 412 publications meeting the inclusion criteria were identified, 169 were descriptive and 243 interventions. Of the descriptive papers 95.0% included individual predictors, and 5.0% social predictors. None of the descriptive papers examined treatment centre variables as predictors of psychosocial outcomes. Similarly, none of the interventions evaluated the effectiveness of treatment centre interventions for improving psychosocial outcomes. Potential reasons for the overwhelming dominance of individual predictors and individual-focused interventions in psychosocial literature are discussed. PMID:20646035

Dysfunctional attitudes and poor problem solving skills predict hopelessness in major depression.

PubMed

Cannon, B; Mulroy, R; Otto, M W; Rosenbaum, J F; Fava, M; Nierenberg, A A

1999-09-01

Hopelessness is a significant predictor of suicidality, but not all depressed patients feel hopeless. If clinicians can predict hopelessness, they may be able to identify those patients at risk of suicide and focus interventions on factors associated with hopelessness. In this study, we examined potential predictors of hopelessness in a sample of depressed outpatients. In this study, we examined potential demographic, diagnostic, and symptom predictors of hopelessness in a sample of 138 medication-free outpatients (73 women and 65 men) with a primary diagnosis of major depression. The significance of predictors was evaluated in both simple and multiple regression analyses. Consistent with previous studies, we found no significant associations between demographic and diagnostic variables and greater hopelessness. Hopelessness was significantly associated with greater depression severity, poor problem solving abilities as assessed by the Problem Solving Inventory, and each of two measures of dysfunctional cognitions (the Dysfunctional Attitudes Scale and the Cognitions Questionnaire). In a stepwise multiple regression equation, however, only dysfunctional cognitions and poor problem solving offered non-redundant prediction of hopelessness scores, and accounted for 20% of the variance in these scores. This study is based on depressed patients entering into an outpatient treatment protocol. All analyses were correlational in nature, and no causal links can be concluded. Our findings, identifying clinical correlates of hopelessness, provide clinicians with potential additional targets for assessment and treatment of suicidal risk. In particular, clinical attention to dysfunctional attitudes and problem solving skills may be important for further reduction of hopelessness and perhaps suicidal risk.

Knee alignment can help predict sedentary behaviour in children: a pilot study.

PubMed

Shultz, S P; Kagawa, M; Fink, P W; Hills, A P

2014-10-01

The purpose of this pilot study was to introduce knee alignment as a potential predictor of sedentary activity levels in boys and girls. Dual energy x-ray absorptiometry (DXA) and anthropometric assessment were conducted on 47 children (21 boys and 26 girls; 5-14 y) and their gender-matched parent. Body Mass Index (BMI) and abdominal-to-height ratio were calculated. Lower extremity alignment was determined by anatomic tibiofemoral angle (TFA) measurements from DXA images. Time spent in moderate-to-vigorous physical activity and sedentary activities were obtained from a parent-reported questionnaire. Stepwise multiple regression analyses identified anthropometric, musculoskeletal, and activity factors of parents and children for predicting total time spent in sedentary behaviour. Weight, total sedentary time of parents and TFA are moderate predictors of sedentary behaviour in children (R2=0.469). When stratifying for gender, TFA and total sedentary time of the parent, as well as waist circumference, are the most useful predictors of sedentary behaviour in boys (R2=0.648). However, weight is the only predictor of sedentary behaviour in girls (R2=0.479). Negative associations between TFA and sedentary behaviour indicate that even slight variations in musculoskeletal alignment may influence a child's motivation to be physically active. Although growth and development is complicated by many potentialities, this pilot study suggests that orthopaedic factors should also be considered when evaluating physical activity in children.

Predictors and correlates for weight changes in patients co-treated with olanzapine and weight mitigating agents; a post-hoc analysis.

PubMed

Stauffer, Virginia L; Lipkovich, Ilya; Hoffmann, Vicki Poole; Heinloth, Alexandra N; McGregor, H Scott; Kinon, Bruce J

2009-03-28

This study focuses on exploring the relationship between changes in appetite or eating behaviors and subsequent weight change for adult patients with schizophrenia or bipolar disorder treated with olanzapine and adjunctive potential weight mitigating pharmacotherapy. The aim is not to compare different weight mitigating agents, but to evaluate patients' characteristics and changes in their eating behaviors during treatment. Identification of patient subgroups with different degrees of susceptibility to the effect of weight mitigating agents during olanzapine treatment may aid clinicians in treatment decisions. Data were obtained from 3 randomized, double-blind, placebo-controlled, 16-week clinical trials. Included were 158 patients with schizophrenia or bipolar disorder and a body mass index (BMI) > or = 25 kg/m2 who had received olanzapine treatment in combination with nizatidine (n = 68), sibutramine (n = 42), or amantadine (n = 48). Individual patients were analyzed for categorical weight loss > or= 2 kg and weight gain > or = 1 kg. Variables that were evaluated as potential predictors of weight outcomes included baseline patient characteristics, factors of the Eating Inventory, individual items of the Eating Behavior Assessment, and the Visual Analog Scale. Predictors/correlates of weight loss > or = 2 kg included: high baseline BMI, low baseline interest in food, and a decrease from baseline to endpoint in appetite, hunger, or cravings for carbohydrates. Reduced cognitive restraint, increase in hunger, and increased overeating were associated with a higher probability of weight gain > or = 1 kg. The association between weight gain and lack of cognitive restraint in the presence of increased appetite suggests potential benefit of psychoeducational counseling in conjunction with adjunctive pharmacotherapeutic agents in limiting weight gain during antipsychotic drug therapy. This analysis was not a clinical trial and did not involve any medical intervention.

Assessing the Snow Advance Index as potential predictor of winter streamflow of the Iberian Peninsula Rivers

NASA Astrophysics Data System (ADS)

Hidalgo-Muñoz, José Manuel; García-Valdecasas-Ojeda, Matilde; Raquel Gámiz-Fortis, Sonia; Castro-Díez, Yolanda; Jesús Esteban-Parra, María

2015-04-01

This study examines the ability of the Eurasian snow cover increase during the previous October as potential predictor of winter streamflow in the Iberian Peninsula Rivers. The streamflow data base used has been provided by the Center for Studies and Experimentation of Public Works, CEDEX. Series from gauging stations and reservoirs with less than 10% of missing data (filled by regression with well correlated neighboring stations) have been considered. The homogeneity of these series has been evaluated through the Pettit test and degree of human alteration by the Common Area Index. The application of these criteria led to the selection of 382 streamflow time series homogeneously distributed over the Iberian Peninsula, covering the period 1975-2008. For this streamflow data, winter seasonal values were obtained by averaging the monthly values from January to March. The recently proposed Snow Advance Index (SAI) was employed to monitor the snow cover increase during previous October. The stability of the correlations was the criterion followed to establish if SAI could be considered as potential predictor of winter streamflow at each gauging station. Winter streamflow is predicted using a linear regression model. A leave-one-out cross validation approach was adopted to create calibration and validations subsets. The correlation coefficient (RHO), Root Mean Square Error Skill Score (RMSESS) and the Gerrity Skill Score (GSS) were used to evaluate the forecasting skill. From the 382 stations evaluated, significant and stable correlations with SAI were found in 238 stations, covering most of the IP (except for the Cantabrian and Mediterranean slopes). Some forecasting skill was found in 223 of them, being this skill moderate (RHO>0.44, RMSESS>10%, GSS>0.2) in 141 of them, and particularly good (RHO>0.5, RMSESS>20%, GSS>0.4) in 23. This study shows that the SAI of previous October is a reliable predictor of following winter streamflow for the Iberian Peninsula Rivers, providing useful information, which, in turn, helps in better management of water resources. KEYWORDS Snow Advance Index, streamflow, forecasting, Iberian Peninsula. ACKNOWLEDGEMENTS This work has been financed by the projects P11-RNM-7941 (Junta de Andalucía-Spain) and CGL2013-48539-R (MINECO-Spain, FEDER).

Early Math Trajectories: Low-Income Children's Mathematics Knowledge From Ages 4 to 11.

PubMed

Rittle-Johnson, Bethany; Fyfe, Emily R; Hofer, Kerry G; Farran, Dale C

2017-09-01

Early mathematics knowledge is a strong predictor of later academic achievement, but children from low-income families enter school with weak mathematics knowledge. An early math trajectories model is proposed and evaluated within a longitudinal study of 517 low-income American children from ages 4 to 11. This model includes a broad range of math topics, as well as potential pathways from preschool to middle grades mathematics achievement. In preschool, nonsymbolic quantity, counting, and patterning knowledge predicted fifth-grade mathematics achievement. By the end of first grade, symbolic mapping, calculation, and patterning knowledge were the important predictors. Furthermore, the first-grade predictors mediated the relation between preschool math knowledge and fifth-grade mathematics achievement. Findings support the early math trajectories model among low-income children. © 2016 The Authors. Child Development © 2016 Society for Research in Child Development, Inc.

Body Dysmorphic, Obsessive-Compulsive, and Social Anxiety Disorder Beliefs as Predictors of In Vivo Stressor Responding.

PubMed

Parsons, E Marie; Straub, Kelsey T; Smith, April R; Clerkin, Elise M

2017-06-01

This study tested the potential transdiagnostic nature of body dysmorphic disorder (BDD), obsessive-compulsive disorder (OCD), and social anxiety disorder (SAD) beliefs, in addition to testing the specificity of those beliefs, in predicting how individuals responded to symptom-specific stressors. Participants included 127 adults (75% women) with a broad range of symptom severity. Path analysis was used to evaluate whether specific maladaptive beliefs predicted distress in response to symptom-relevant stressors over and above other beliefs and baseline distress. SAD beliefs emerged as a significant predictor of distress in response to a mirror gazing (BDD-relevant), a thought (OCD-relevant), and a public speaking (SAD-relevant) task, controlling for other disorder beliefs and baseline distress. BDD beliefs were also a robust predictor of BDD stressor responding. Results suggest that social anxiety-relevant beliefs may function as a transdiagnostic risk factor that predicts in vivo symptoms across a range of problem areas.

Associations between health literacy and established predictors of smoking cessation.

PubMed

Stewart, Diana W; Adams, Claire E; Cano, Miguel A; Correa-Fernández, Virmarie; Li, Yisheng; Waters, Andrew J; Wetter, David W; Vidrine, Jennifer Irvin

2013-07-01

We examined associations between health literacy and predictors of smoking cessation among 402 low-socioeconomic status (SES), racially/ethnically diverse smokers. Data were collected as part of a larger study evaluating smoking health risk messages. We conducted multiple linear regression analyses to examine relations between health literacy and predictors of smoking cessation (i.e., nicotine dependence, smoking outcome expectancies, smoking risk perceptions and knowledge, self-efficacy, intentions to quit or reduce smoking). Lower health literacy was associated with higher nicotine dependence, more positive and less negative smoking outcome expectancies, less knowledge about smoking health risks, and lower risk perceptions. Associations remained significant (P < .05) after controlling for demographics and SES-related factors. These results provide the first evidence that low health literacy may serve as a critical and independent risk factor for poor cessation outcomes among low-socioeconomic status, racially/ethnically diverse smokers. Research is needed to investigate potential mechanisms underlying this relationship.

Evaluating Principal Surrogate Markers in Vaccine Trials in the Presence of Multiphase Sampling

PubMed Central

Huang, Ying

2017-01-01

Summary This paper focuses on the evaluation of vaccine-induced immune responses as principal surrogate markers for predicting a given vaccine’s effect on the clinical endpoint of interest. To address the problem of missing potential outcomes under the principal surrogate framework, we can utilize baseline predictors of the immune biomarker(s) or vaccinate uninfected placebo recipients at the end of the trial and measure their immune biomarkers. Examples of good baseline predictors are baseline immune responses when subjects enrolled in the trial have been previously exposed to the same antigen, as in our motivating application of the Zostavax Efficacy and Safety Trial (ZEST). However, laboratory assays of these baseline predictors are expensive and therefore their subsampling among participants is commonly performed. In this paper we develop a methodology for estimating principal surrogate values in the presence of baseline predictor subsampling. Under a multiphase sampling framework, we propose a semiparametric pseudo-score estimator based on conditional likelihood and also develop several alternative semiparametric pseudo-score or estimated likelihood estimators. We derive corresponding asymptotic theories and analytic variance formulas for these estimators. Through extensive numeric studies, we demonstrate good finite sample performance of these estimators and the efficiency advantage of the proposed pseudo-score estimator in various sampling schemes. We illustrate the application of our proposed estimators using data from an immune biomarker study nested within the ZEST trial. PMID:28653408

The Influence of Oropalatal Dimensions on the Measurement of Tongue Strength.

PubMed

Pitts, Laura L; Stierwalt, Julie A G; Hageman, Carlin F; LaPointe, Leonard L

2017-12-01

Tongue strength is routinely evaluated in clinical swallowing evaluations since lingual weakness is an established contributor to dysphagia. Tongue strength may be clinically quantified by the maximum isometric tongue pressure (MIP) generated by the tongue against the palate; however, wide ranges in normal performance remain to be fully explained. Although orthodontic theory has long suggested a relation between lingual function and oral cavity dimensions, little attention has been given to the potential influence of oral and palatal structure(s) on healthy variance in MIP generation. Therefore, anterior and posterior tongue strength measures and oropalatal dimensions were obtained across 147 healthy adults (aged 18-88 years). Age was confirmed as a significant, independent predictor explaining approximately 10.2% of the variance in anterior tongue strength, but not a significant predictor of posterior tongue strength. However, oropalatal dimensions predicted anterior tongue strength with over three times the predictive power of age alone (p < .001). Significant models for anterior tongue strength (R 2  = .457) and posterior tongue strength (R 2  = .283) included a combination of demographic predictors (i.e., age and/or gender) and oropalatal dimensions. Palatal width, estimated tongue volume, and gender were significant predictors of posterior tongue strength (p < .001). Therefore, oropalatal dimensions may warrant consideration when accurately differentiating between pathological lingual weakness and healthy individual difference.

Understanding attrition from international Internet health interventions: a step towards global eHealth.

PubMed

Geraghty, Adam W A; Torres, Leandro D; Leykin, Yan; Pérez-Stable, Eliseo J; Muñoz, Ricardo F

2013-09-01

Worldwide automated Internet health interventions have the potential to greatly reduce health disparities. High attrition from automated Internet interventions is ubiquitous, and presents a challenge in the evaluation of their effectiveness. Our objective was to evaluate variables hypothesized to be related to attrition, by modeling predictors of attrition in a secondary data analysis of two cohorts of an international, dual language (English and Spanish) Internet smoking cessation intervention. The two cohorts were identical except for the approach to follow-up (FU): one cohort employed only fully automated FU (n = 16 430), while the other cohort also used 'live' contact conditional upon initial non-response (n = 1000). Attrition rates were 48.1 and 10.8% for the automated FU and live FU cohorts, respectively. Significant attrition predictors in the automated FU cohort included higher levels of nicotine dependency, lower education, lower quitting confidence and receiving more contact emails. Participants' younger age was the sole predictor of attrition in the live FU cohort. While research on large-scale deployment of Internet interventions is at an early stage, this study demonstrates that differences in attrition from trials on this scale are (i) systematic and predictable and (ii) can largely be eliminated by live FU efforts. In fully automated trials, targeting the predictors we identify may reduce attrition, a necessary precursor to effective behavioral Internet interventions that can be accessed globally.

The Prediction of Doctorate Attainment in Psychology, Mathematics and Chemistry: Preliminary Report.

ERIC Educational Resources Information Center

Educational Testing Service, Princeton, NJ.

Data from the National Science Foundation Fellowship applicant records and the NRC Office of Scientific Personnel Doctorate Records File were utilized to evaluate the potential of GRE Aptitude and Advanced Tests as predictors of whether or not the candidate attained the doctorate within a period of from seven to ten years. In addition, the study…

Determinants of Quality of Life in Primary Care Patients with Diabetes: Implications for Social Workers

ERIC Educational Resources Information Center

Ayalon, Liat; Gross, Revital; Tabenkin, Hava; Porath, Avi; Heymann, Anthony; Porter, Boaz

2008-01-01

Using a cross-sectional design of 400 primary care patients with diabetes, the authors evaluated demographics, health status, subjective health and mental health, health behaviors, health beliefs, knowledge of diabetes treatment, satisfaction with medical care, and quality of medical care as potential predictors of QoL and QoL in the hypothetical…

Immediate and Short-Term Outcomes of the "COPEing with Toddler Behaviour" Parent Group

ERIC Educational Resources Information Center

Niccols, Alison

2009-01-01

Background: Controlling, uninvolved, and rejecting parenting in early childhood are strong predictors of later disruptive behavior disorders. However, there have been no evaluations of non-targeted groups for parents of very young children, despite their potential advantages. Methods: We randomly assigned 79 mothers of 12- to 36-month-olds to an…

Examining educational attainment, prepregnancy smoking rate, and delay discounting as predictors of spontaneous quitting among pregnant smokers.

PubMed

White, Thomas J; Redner, Ryan; Skelly, Joan M; Higgins, Stephen T

2014-10-01

We investigated three potential predictors (educational attainment, prepregnancy smoking rate, and delay discounting [DD]) of spontaneous quitting among pregnant smokers. These predictors were examined alone and in combination with other potential predictors using study-intake assessments from controlled clinical trials examining the efficacy of financial incentives for smoking cessation and relapse prevention. Data from 349 pregnant women (231 continuing smokers and 118 spontaneous quitters) recruited from the greater Burlington, VT, area contributed to this secondary analysis, including psychiatric/sociodemographic characteristics, smoking characteristics, and performance on a computerized DD task. Educational attainment, smoking rate, and DD values were each significant predictors of spontaneous quitting in univariate analyses. A model examining those three predictors together retained educational attainment as a main effect and revealed a significant interaction of DD and smoking rate (i.e., DD was a significant predictor at lower but not higher smoking rates). A final model considering all potential predictors, included education, the interaction of DD and smoking rate, and five additional predictors (i.e., stress ratings, the belief that smoking during pregnancy will "greatly harm my baby," age of smoking initiation, marital status, and prior quit attempts during pregnancy). The study presented here contributes new knowledge on predictors of spontaneous quitting among pregnant smokers with substantive practical implications for reducing smoking during pregnancy. (PsycINFO Database Record (c) 2014 APA, all rights reserved).

Impact of referral source and study applicants' preference for randomly assigned service on research enrollment, service engagement, and evaluative outcomes.

PubMed

Macias, Cathaleene; Barreira, Paul; Hargreaves, William; Bickman, Leonard; Fisher, William; Aronson, Elliot

2005-04-01

The inability to blind research participants to their experimental conditions is the Achilles' heel of mental health services research. When one experimental condition receives more disappointed participants, or more satisfied participants, research findings can be biased in spite of random assignment. The authors explored the potential for research participants' preference for one experimental program over another to compromise the generalizability and validity of randomized controlled service evaluations as well as cross-study comparisons. Three Cox regression analyses measured the impact of applicants' service assignment preference on research project enrollment, engagement in assigned services, and a service-related outcome, competitive employment. A stated service preference, referral by an agency with a low level of continuity in outpatient care, and willingness to switch from current services were significant positive predictors of research enrollment. Match to service assignment preference was a significant positive predictor of service engagement, and mismatch to assignment preference was a significant negative predictor of both service engagement and employment outcome. Referral source type and service assignment preference should be routinely measured and statistically controlled for in all studies of mental health service effectiveness to provide a sound empirical base for evidence-based practice.

Towards an automatic statistical model for seasonal precipitation prediction and its application to Central and South Asian headwater catchments

NASA Astrophysics Data System (ADS)

Gerlitz, Lars; Gafurov, Abror; Apel, Heiko; Unger-Sayesteh, Katy; Vorogushyn, Sergiy; Merz, Bruno

2016-04-01

Statistical climate forecast applications typically utilize a small set of large scale SST or climate indices, such as ENSO, PDO or AMO as predictor variables. If the predictive skill of these large scale modes is insufficient, specific predictor variables such as customized SST patterns are frequently included. Hence statistically based climate forecast models are either based on a fixed number of climate indices (and thus might not consider important predictor variables) or are highly site specific and barely transferable to other regions. With the aim of developing an operational seasonal forecast model, which is easily transferable to any region in the world, we present a generic data mining approach which automatically selects potential predictors from gridded SST observations and reanalysis derived large scale atmospheric circulation patterns and generates robust statistical relationships with posterior precipitation anomalies for user selected target regions. Potential predictor variables are derived by means of a cellwise correlation analysis of precipitation anomalies with gridded global climate variables under consideration of varying lead times. Significantly correlated grid cells are subsequently aggregated to predictor regions by means of a variability based cluster analysis. Finally for every month and lead time, an individual random forest based forecast model is automatically calibrated and evaluated by means of the preliminary generated predictor variables. The model is exemplarily applied and evaluated for selected headwater catchments in Central and South Asia. Particularly the for winter and spring precipitation (which is associated with westerly disturbances in the entire target domain) the model shows solid results with correlation coefficients up to 0.7, although the variability of precipitation rates is highly underestimated. Likewise for the monsoonal precipitation amounts in the South Asian target areas a certain skill of the model could be detected. The skill of the model for the dry summer season in Central Asia and the transition seasons over South Asia is found to be low. A sensitivity analysis by means on well known climate indices reveals the major large scale controlling mechanisms for the seasonal precipitation climate of each target area. For the Central Asian target areas, both, the El Nino Southern Oscillation and the North Atlantic Oscillation are identified as important controlling factors for precipitation totals during moist spring season. Drought conditions are found to be triggered by a warm ENSO phase in combination with a positive phase of the NAO. For the monsoonal summer precipitation amounts over Southern Asia, the model suggests a distinct negative response to El Nino events.

Technique for ranking potential predictor layers for use in remote sensing analysis

Treesearch

Andrew Lister; Mike Hoppus; Rachel Riemann

2004-01-01

Spatial modeling using GIS-based predictor layers often requires that extraneous predictors be culled before conducting analysis. In some cases, using extraneous predictor layers might improve model accuracy but at the expense of increasing complexity and interpretability. In other cases, using extraneous layers can dilute the relationship between predictors and target...

How Well Does the Theory of Planned Behavior Predict Graduation among College and University Students with Disabilities?

ERIC Educational Resources Information Center

Fichten, Catherine S.; Nguyen, Mai Nhu; Amsel, Rhonda; Jorgensen, Shirley; Budd, Jillian; Jorgensen, Mary; Asuncion, Jennison; Barile, Maria

2014-01-01

The goal of this research was to develop a model to predict which students with disabilities will drop out before graduation and to investigate the drop out pattern of students with disabilities. To accomplish this we evaluated potential predictors of persistence and drop-out among 611 college and university students with various disabilities and…

Evaluation of a possible predictor for Federal Joint Committee decisions on early benefit assessments according to the German act on the reform of the market for medicinal products.

PubMed

Schwander, Björn; Banz, Kurt; Kaier, Klaus; Walzer, Stefan

2014-09-01

As of 1st January 2011 the German drug market is regulated by the act on the reform of the market for medicinal products (AMNOG). Since then the normal procedure for reimbursement of a new pharmaceutical is a benefit assessment by the joint federal committee (G-BA) which determines one of six additional benefit levels. In order to evaluate a possible predictor of G-BA decisions, the 'evaluation of pharmaceutical innovations (EVITA)' score was calculated for 40 out of 63 dossiers and compared with published G-BA appraisals. Univariate ordinary least squares (p<0.001) and ordered logit regression (p=0.008) analyses show statistically significant correlations between EVITA scores and the G-BA additional benefit levels. Moreover, for the prediction of an additional benefit level of at least 'minor', an EVITA score cutpoint of ≥3 is associated with a sensitivity of 100% and a specificity of 80%. For the prediction of an additional benefit level of at least 'considerable', an EVITA score cutpoint of ≥7.5 is associated with a sensitivity of 100% and a specificity of 93.1%. The present investigation indicates that the EVITA score may have some potential to act as a possible predictor of G-BA decisions related to AMNOG early benefit assessments. Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.

Predictors of mental health competence in a population cohort of Australian children.

PubMed

Goldfeld, Sharon; Kvalsvig, Amanda; Incledon, Emily; O'Connor, Meredith; Mensah, Fiona

2014-05-01

The child mental health epidemiology literature focuses almost exclusively on reporting the prevalence and predictors of child mental disorders. However, there is growing recognition of positive mental health or mental health competence as an independent outcome that cannot be inferred from the absence of problems, and requires epidemiological investigation in its own right. We developed a novel measure of child mental health competence within the framework of the Australian Early Development Index, a three-yearly national census of early child development. Predictors of this outcome were investigated by linking these census data at individual level to detailed background information collected by a large longitudinal cohort study. Predictors of competence were consistent with previously described theoretical and empirical models. Overall, boys were significantly less likely than girls to demonstrate a high level of competence (OR 0.60, 95% CI 0.39 to 0.91). Other strong predictors of competence were parent education and a relative absence of maternal psychological distress; these factors also appeared to attenuate the negative effect of family hardship on child competence. This measure of mental health competence shows promise as a population-level indicator with the potential benefit of informing and evaluating evidence-based public health intervention strategies that promote positive mental health.

Evaluation of potentially modifiable physical factors as predictors of health status in knee osteoarthritis patients referred for physical therapy.

PubMed

Gonçalves, Rui Soles; Pinheiro, João Páscoa; Cabri, Jan

2012-08-01

The purpose of this cross sectional study was to estimate the contributions of potentially modifiable physical factors to variations in perceived health status in knee osteoarthritis (OA) patients referred for physical therapy. Health status was measured by three questionnaires: Knee injury and Osteoarthritis Outcome Score (KOOS); Knee Outcome Survey - Activities of Daily Living Scale (KOS-ADLS); and Medical Outcomes Study - 36 item Short Form (SF-36). Physical factors were measured by a battery of tests: body mass index (BMI); visual analog scale (VAS) of pain intensity; isometric dynamometry; universal goniometry; step test (ST); timed "up and go" test (TUGT); 20-meter walk test (20MWT); and 6-minute walk test (6MWT). All tests were administered to 136 subjects with symptomatic knee OA (94 females, 42 males; age: 67.2 ± 7.1 years). Multiple stepwise regression analyses revealed that knee muscle strength, VAS of pain intensity, 6MWT, degree of knee flexion and BMI were moderate predictors of health status. In the final models, selected combinations of these potentially modifiable physical factors explained 22% to 37% of the variance in KOOS subscale scores, 40% of the variance in the KOS-ADLS scale score, and 21% to 34% of the variance in physical health SF-36 subscale scores. More research is required in order to evaluate whether therapeutic interventions targeting these potentially modifiable physical factors would improve health status in knee OA patients. Copyright © 2011 Elsevier B.V. All rights reserved.

Evidence-based practice: evaluation and management of unilateral vocal fold paralysis.

PubMed

Misono, Stephanie; Merati, Albert L

2012-10-01

This article discusses the causes and symptoms, evaluation, and management of unilateral vocal fold paralysis (UVFP). Cross-sectional imaging is appropriate in the work-up of idiopathic UVFP, but the routine use of serology is not well supported. The usefulness of laryngeal electromyography has remained controversial. Predictors of poor prognosis for functionally meaningful recovery include fibrillation potentials, positive sharp waves, and absent/reduced voluntary motor unit potentials. Voice therapy may be helpful. Injection and laryngeal framework surgery (medialization thyroplasty) improve vocal quality. The vocal impact of laryngeal reinnervation is comparable with that of medialization. Some patients may benefit from multiple procedures. Copyright © 2012 Elsevier Inc. All rights reserved.

Evaluation of malnutrition as a predictor of adverse outcomes in febrile neutropenia associated with paediatric haematological malignancies.

PubMed

Chaudhuri, Jasodhara; Biswas, Tamoghna; Datta, Jyotishka; Sabui, Tapas Kumar; Chatterjee, Sukanta; Ray, Somosri; Raychaudhuri, Dibyendu; Mandal, Kalyanbrata; Chatterjee, Kaushani; Chakraborty, Swapna

2016-07-01

Malnutrition has been reported in the literature to be adversely associated with outcomes in paediatric malignancies. Our objective in this paper was to evaluate malnutrition as a potential predictor for adverse outcomes in febrile neutropenia associated with haematological malignancies. A prospective observational study was performed in a tertiary care teaching hospital of Kolkata, India. Forty-eight participants, suffering from haematological malignancy, were included. Participants were included if they experienced at least one episode of febrile neutropenia. For children aged <5 years, weight for height, height for age and weight for age were used as criteria for defining malnutrition, while body mass index for age was used in children ≥5 years. A total of 162 episodes of febrile neutropenia were studied. Thirty patients (30/48, 62.5%) included in the study had malnutrition. In bivariate analyses at patient level, there is a strong association between malnutrition and death (odds ratio (OR) 7.286, 95% confidence interval (CI) 0.838-63.345, one-tailed P = 0.044), and life-threatening complications show a moderate trend towards significance (OR 3.333, 95% CI 0.791-14.052, one-tailed P = 0.084). Survival functions were significantly different between malnourished and non-malnourished children (log rank test χ(2)  = 4.609, degree of freedom = 1, P = 0.032). Wasting was associated with life-threatening complications in children aged <5 years (OR 14, 95% CI 1.135-172.642, one-tailed P = 0.036). Logistic regression analyses at episode level revealed that phase of treatment and respiratory system involvement were significant predictors of death, while malnutrition was not. Malnutrition may be a potential predictor of mortality in febrile neutropenia. © 2016 Paediatrics and Child Health Division (The Royal Australasian College of Physicians).

Circulating Tumor Cells as an Independent Predictor of Survival in Advanced Gastric Cancer.

PubMed

Okabe, H; Tsunoda, S; Hosogi, H; Hisamori, S; Tanaka, E; Tanaka, S; Sakai, Y

2015-11-01

When the indication for surgery of highly advanced gastric cancer is considered, careful selection of the patients is important. In addition to tumor-node-metastasis factors and peritoneal lavage cytology (CY), which are important predictors of prognosis, detection of circulating tumor cells (CTCs) could be another potential marker. This study prospectively evaluated CTCs using a semi-automated immunomagnetic separation system (CellSearch) for 136 patients with advanced gastric cancer to determine the frequency of CTC positivity. For 123 patients who also had their CY evaluated, the significance of both CTC and CY, was investigated as a potential biomarker to predict progression-free survival (PFS) or to monitor the therapeutic effect. In 25 patients (18.4 %), CTCs were positive. Positive CTC counts were more common for tumors with diffuse histologic type and distant metastasis. The PFS of CTC-positive patients was significantly shorter than that of CTC-negative patients (hazard ratio 2.03; P = 0.016). A multivariate analysis of 123 patients showed that CTC and CY as well as performance status and macroscopic distant metastasis were independent factors for PFS. When both CTC and CY were converted to negative values by therapeutic interventions, long-term PFS was achieved. Detection of CTCs was an independent predictor of a shorter PFS in advanced gastric cancer. For selecting patients who require intensive treatment, CTCs could be a valuable biomarker. The combined status of CTC and CY would be useful in selecting patients for radical surgery. Further investigation with a larger number of patients is necessary to establish the importance of CTCs.

[Predictors of successful transfer to everyday live of a relaxation method acquired in psychosomatic rehabilitation].

PubMed

Bernardy, K; Krampen, G; Köllner, V

2008-12-01

The aim of the present study was to identify factors at the beginning and at the end of an inpatient psychosomatic rehabilitation predicting the successful transfer of Progressive Relaxation (PR) according to Jacobson three months after the stay. Eighty patients in a psychosomatic rehabilitation centre were studied in the beginning (T1), at discharge (T2) and three months after discharge (T3). Every patient participated in courses on PR. To evaluate the course, parts of the "Diagnostisches und evaluatives Instrumentarium für Entspannungstraining und Entspannungstherapie" were used. Transfer was defined as successful if patients practised PR at least once a week three months after their stay. Potential predictors were: diagnosis, age, symptoms, previous experiences, and motives at T1 and frequency of practising, adequateness of group size and change of symptoms at T2. Stepwise logistic regression analysis was used to identify predictors. Three months after the course 52,5% of the patients were able to transfer PR successfully into their daily lives. 68,8% of cases had been correctly classified by logistic regression through: participation motive "positive thoughts" (T1) and "frequency of practising PR outside the course" (T2). Intrinsic participation motives and practising independently are significant predictors of long-term transfer of PR. This indicates the necessity of discussing motives at the beginning as well as frequency of practising during the PR course. It would be particularly interesting to know whether specific encouraging of motivation would improve the transfer to everyday life.

Incidence and Predictors of Microbiology Results Returning Post-Discharge and Requiring Follow-up

PubMed Central

El-Kareh, Robert; Roy, Christopher; Brodsky, Gregor; Perencevich, Molly; Poon, Eric G.

2013-01-01

Background Failure to follow up microbiology results pending at discharge can delay appropriate treatment, increasing the risk of patient harm and litigation. Limited data describe the frequency of post-discharge microbiology results requiring a treatment change. Objective To determine the incidence and predictors of post-discharge microbiology results requiring follow-up Design Cross sectional Setting Large academic hospital during 2007 Measurements We evaluated blood, urine, sputum and cerebral spinal fluid (CSF) cultures ordered for hospitalized patients. We identified cultures that returned post-discharge and determined which were clinically important and not treated by an antibiotic to which they were susceptible. We reviewed a random subset to assess the potential need for antibiotic change. Using logistic regression, we identified significant predictors of results requiring follow-up. Results Of 77,349 inpatient culture results, 8,668 (11%) returned post-discharge. Of these, 385 (4%) were clinically important and untreated at discharge. Among 94 manually-reviewed cases, 53% potentially required a change in therapy. Urine cultures were more likely to potentially require therapy change than non-urine cultures (aOR 2.8, 95% CI 1.1–7.2; p=0.03). Also, 76% of 25 results from surgical services potentially required a therapy change, compared with 59% of 29 results from general medicine, 38% of 16 results from oncology and 33% of 24 results from medical subspecialties. Overall, 2.4% of post-discharge cultures potentially necessitated an antibiotic change. Conclusion Many microbiology results return post-discharge and some necessitate a change in treatment. These results arise from many specialties, suggesting the need for a hospital-wide system to ensure effective communication of these results. PMID:21661103

Evaluation of the Effectiveness of Simulation for M4 Marksmanship Training

DTIC Science & Technology

2014-02-01

DEMOGRAPHIC QUESTIONNAIRE ................................................. 34 APPENDIX C: ANALYSIS OF MARKSMANSHIP PERFORMANCE DATA TO IDENTIFY POTENTIAL...machine guns and anti- armour weapons. In these simulators, firers aim a modified weapon at a target image on a screen. When the firer pulls the trigger...investigate predictors of live-fire LF6 qualification. Specifically, we examined the utility of LF6 simulator scores and trainee demographic data as

MortalityPredictors.org: a manually-curated database of published biomarkers of human all-cause mortality

PubMed Central

Winslow, Ksenia; Ho, Andrew; Fortney, Kristen; Morgen, Eric

2017-01-01

Biomarkers of all-cause mortality are of tremendous clinical and research interest. Because of the long potential duration of prospective human lifespan studies, such biomarkers can play a key role in quantifying human aging and quickly evaluating any potential therapies. Decades of research into mortality biomarkers have resulted in numerous associations documented across hundreds of publications. Here, we present MortalityPredictors.org, a manually-curated, publicly accessible database, housing published, statistically-significant relationships between biomarkers and all-cause mortality in population-based or generally healthy samples. To gather the information for this database, we searched PubMed for appropriate research papers and then manually curated relevant data from each paper. We manually curated 1,576 biomarker associations, involving 471 distinct biomarkers. Biomarkers ranged in type from hematologic (red blood cell distribution width) to molecular (DNA methylation changes) to physical (grip strength). Via the web interface, the resulting data can be easily browsed, searched, and downloaded for further analysis. MortalityPredictors.org provides comprehensive results on published biomarkers of human all-cause mortality that can be used to compare biomarkers, facilitate meta-analysis, assist with the experimental design of aging studies, and serve as a central resource for analysis. We hope that it will facilitate future research into human mortality and aging. PMID:28858850

MortalityPredictors.org: a manually-curated database of published biomarkers of human all-cause mortality.

PubMed

Peto, Maximus V; De la Guardia, Carlos; Winslow, Ksenia; Ho, Andrew; Fortney, Kristen; Morgen, Eric

2017-08-31

Biomarkers of all-cause mortality are of tremendous clinical and research interest. Because of the long potential duration of prospective human lifespan studies, such biomarkers can play a key role in quantifying human aging and quickly evaluating any potential therapies. Decades of research into mortality biomarkers have resulted in numerous associations documented across hundreds of publications. Here, we present MortalityPredictors.org , a manually-curated, publicly accessible database, housing published, statistically-significant relationships between biomarkers and all-cause mortality in population-based or generally healthy samples. To gather the information for this database, we searched PubMed for appropriate research papers and then manually curated relevant data from each paper. We manually curated 1,576 biomarker associations, involving 471 distinct biomarkers. Biomarkers ranged in type from hematologic (red blood cell distribution width) to molecular (DNA methylation changes) to physical (grip strength). Via the web interface, the resulting data can be easily browsed, searched, and downloaded for further analysis. MortalityPredictors.org provides comprehensive results on published biomarkers of human all-cause mortality that can be used to compare biomarkers, facilitate meta-analysis, assist with the experimental design of aging studies, and serve as a central resource for analysis. We hope that it will facilitate future research into human mortality and aging.

Big Data Toolsets to Pharmacometrics: Application of Machine Learning for Time‐to‐Event Analysis

PubMed Central

Gong, Xiajing; Hu, Meng

2018-01-01

Abstract Additional value can be potentially created by applying big data tools to address pharmacometric problems. The performances of machine learning (ML) methods and the Cox regression model were evaluated based on simulated time‐to‐event data synthesized under various preset scenarios, i.e., with linear vs. nonlinear and dependent vs. independent predictors in the proportional hazard function, or with high‐dimensional data featured by a large number of predictor variables. Our results showed that ML‐based methods outperformed the Cox model in prediction performance as assessed by concordance index and in identifying the preset influential variables for high‐dimensional data. The prediction performances of ML‐based methods are also less sensitive to data size and censoring rates than the Cox regression model. In conclusion, ML‐based methods provide a powerful tool for time‐to‐event analysis, with a built‐in capacity for high‐dimensional data and better performance when the predictor variables assume nonlinear relationships in the hazard function. PMID:29536640

Predictors and moderators of response to enhanced cognitive behaviour therapy and interpersonal psychotherapy for the treatment of eating disorders.

PubMed

Cooper, Zafra; Allen, Elizabeth; Bailey-Straebler, Suzanne; Basden, Shawnee; Murphy, Rebecca; O'Connor, Marianne E; Fairburn, Christopher G

2016-09-01

Consistent predictors, and more especially moderators, of response to psychological treatments for eating disorders have not been identified. The present exploratory study examined predictors and moderators of outcome in adult patients who took part in a randomised clinical trial comparing two leading treatments for these disorders, enhanced cognitive behavioural therapy (CBT-E) and interpersonal psychotherapy (IPT). Four potentially important findings emerged. Firstly, patients with a longer duration of disorder were less likely to benefit from either treatment. Second, across the two treatments the presence, at baseline, of higher levels of over-evaluation of the importance of shape predicted a less good treatment outcome. Third DSM-IV diagnosis did not predict treatment outcome. Fourth, with the exception of patients with baseline low self-esteem who achieved a better outcome with CBT-E, it was generally not possible to identify a subgroup of patients who would differentially benefit from one or other treatment. Copyright © 2016 The Authors. Published by Elsevier Ltd.. All rights reserved.

Associations Between Health Literacy and Established Predictors of Smoking Cessation

PubMed Central

Adams, Claire E.; Cano, Miguel A.; Correa-Fernández, Virmarie; Waters, Andrew J.; Wetter, David W.; Vidrine, Jennifer Irvin

2013-01-01

Objectives. We examined associations between health literacy and predictors of smoking cessation among 402 low-socioeconomic status (SES), racially/ethnically diverse smokers. Methods. Data were collected as part of a larger study evaluating smoking health risk messages. We conducted multiple linear regression analyses to examine relations between health literacy and predictors of smoking cessation (i.e., nicotine dependence, smoking outcome expectancies, smoking risk perceptions and knowledge, self-efficacy, intentions to quit or reduce smoking). Results. Lower health literacy was associated with higher nicotine dependence, more positive and less negative smoking outcome expectancies, less knowledge about smoking health risks, and lower risk perceptions. Associations remained significant (P < .05) after controlling for demographics and SES-related factors. Conclusions. These results provide the first evidence that low health literacy may serve as a critical and independent risk factor for poor cessation outcomes among low-socioeconomic status, racially/ethnically diverse smokers. Research is needed to investigate potential mechanisms underlying this relationship. PMID:23678912

Potential Predictors of Changes in Gross Motor Function during Various Tasks for Children with Cerebral Palsy: A Follow-Up Study

ERIC Educational Resources Information Center

Chen, Chia-ling; Chen, Chung-yao; Chen, Hsieh-ching; Liu, Wen-yu; Shen, I-hsuan; Lin, Keh-chung

2013-01-01

Very few studies have investigated predictors of change in various gross motor outcomes in ambulatory children with cerebral palsy (CP). The aim of this study was to identify potential predictors for change in gross motor outcomes measured during various tasks in children with CP. A group of 45 children (age, 6-15 years) with CP and 7 potential…

Predictors of Immunosuppressive Regulatory T Lymphocytes in Healthy Women

PubMed Central

Hampras, Shalaka S.; Nesline, Mary; Wallace, Paul K.; Odunsi, Kunle; Furlani, Nicholas; Davis, Warren; Moysich, Kirsten B.

2012-01-01

Immunosuppressive regulatory T (Treg) cells play an important role in antitumor immunity, self-tolerance, transplantation tolerance, and attenuation of allergic response. Higher proportion of Treg cells has been observed in peripheral blood of cancer cases compared to controls. Little is known about potential epidemiological predictors of Treg cell levels in healthy individuals. We conducted a cross-sectional study including 75 healthy women, between 20 and 80 years of age, who participated in the Data Bank and BioRepository (DBBR) program at Roswell Park Cancer Institute (RPCI), Buffalo, NY, USA. Peripheral blood levels of CD4+CD25+FOXP3+ Treg cells were measured using flow cytometric analysis. A range of risk factors was evaluated using Wilcoxon Rank-Sum test, Kruskal-Wallis test, and linear regression. Age, smoking, medications for treatment of osteoporosis, postmenopausal status, body mass index (BMI), and hormone replacement therapy (HRT) were found to be significant positive predictors of Treg cell levels in peripheral blood (P ≤ 0.05). Higher education, exercise, age at first birth, oral contraceptives, and use of Ibuprofen were found be significant (P < 0.05) negative predictors of Treg levels. Thus, various epidemiological risk factors might explain interindividual variation in immune response to pathological conditions, including cancer. PMID:22969801

Risk of cardiac disease and observations on lack of potential predictors by clinical history among children presenting for cardiac evaluation of mid-exertional syncope.

PubMed

Miyake, Christina Y; Motonaga, Kara S; Fischer-Colbrie, Megan E; Chen, Liyuan; Hanisch, Debra G; Balise, Raymond R; Kim, Jeffrey J; Dubin, Anne M

2016-06-01

This study aimed to evaluate the incidence of cardiac disorders among children with mid-exertional syncope evaluated by a paediatric cardiologist, determine how often a diagnosis was not established, and define potential predictors to differentiate cardiac from non-cardiac causes. Study design We carried out a single-centre, retrospective review of children who presented for cardiac evaluation due to a history of exertional syncope between 1999 and 2012. Inclusion criteria included the following: (1) age ⩽18 years; (2) mid-exertional syncope; (3) electrocardiogram, echocardiogram and an exercise stress test, electrophysiology study, or tilt test, with exception of long QT, which did not require additional testing; and (4) evaluation by a paediatric cardiologist. Mid-exertional syncope was defined as loss of consciousness in the midst of active physical activity. Patients with peri-exertional syncope immediately surrounding but not during active physical exertion were excluded. A total of 60 patients met the criteria for mid-exertional syncope; 32 (53%) were diagnosed with cardiac syncope and 28 with non-cardiac syncope. A majority of cardiac patients were diagnosed with an electrical myopathy, the most common being Long QT syndrome. In nearly half of the patients, a diagnosis could not be established or syncope was felt to be vasovagal in nature. Neither the type of exertional activity nor the symptoms or lack of symptoms occurring before, immediately preceding, and after the syncopal event differentiated those with or without a cardiac diagnosis. Children with mid-exertional syncope are at risk for cardiac disease and warrant evaluation. Reported symptoms may not differentiate benign causes from life-threatening disease.

Predisposition for Empathy, Intercultural Sensitivity, and Intentions for Using Motivational Interviewing in First Year Pharmacy Students

PubMed Central

Kavookjian, Jan; Hutchison, Amber

2017-01-01

Objective. To assess first-year pharmacy (P1) students’ predispositions (eg, perceptions for empathy, intercultural sensitivity, and motivational interviewing (MI) as a patient-centered communication skillset) and identify potential curricula content/communication skills training needs. Methods. A cross-sectional survey was used to collect students’ self-reported perceptions for empathy, intercultural sensitivity, counseling contexts, and projected future MI use. Relationships between variables were explored and logistic regression was used to evaluate intention for using MI in future patient encounters. Results. There were 134 students who participated. Higher predisposition for empathy and for intercultural sensitivity were significantly correlated. Significant predictors for applying MI in future patient encounters were sex, confidence with counseling skills, and current use of MI. Conclusion. Results suggest the need to incorporate innovative training strategies in communication skills curricula. Potential areas include empathy, intercultural sensitivity and significant predictor variables for future MI use. Further investigation in other schools is needed. PMID:29200452

Predisposition for Empathy, Intercultural Sensitivity, and Intentions for Using Motivational Interviewing in First Year Pharmacy Students.

PubMed

Ekong, Gladys; Kavookjian, Jan; Hutchison, Amber

2017-10-01

Objective. To assess first-year pharmacy (P1) students' predispositions (eg, perceptions for empathy, intercultural sensitivity, and motivational interviewing (MI) as a patient-centered communication skillset) and identify potential curricula content/communication skills training needs. Methods. A cross-sectional survey was used to collect students' self-reported perceptions for empathy, intercultural sensitivity, counseling contexts, and projected future MI use. Relationships between variables were explored and logistic regression was used to evaluate intention for using MI in future patient encounters. Results. There were 134 students who participated. Higher predisposition for empathy and for intercultural sensitivity were significantly correlated. Significant predictors for applying MI in future patient encounters were sex, confidence with counseling skills, and current use of MI. Conclusion. Results suggest the need to incorporate innovative training strategies in communication skills curricula. Potential areas include empathy, intercultural sensitivity and significant predictor variables for future MI use. Further investigation in other schools is needed.

Lexical diversity and omission errors as predictors of language ability in the narratives of sequential Spanish-English bilinguals: a cross-language comparison.

PubMed

Jacobson, Peggy F; Walden, Patrick R

2013-08-01

This study explored the utility of language sample analysis for evaluating language ability in school-age Spanish-English sequential bilingual children. Specifically, the relative potential of lexical diversity and word/morpheme omission as predictors of typical or atypical language status was evaluated. Narrative samples were obtained from 48 bilingual children in both of their languages using the suggested narrative retell protocol and coding conventions as per Systematic Analysis of Language Transcripts (SALT; Miller & Iglesias, 2008) software. An additional lexical diversity measure, VocD, was also calculated. A series of logistical hierarchical regressions explored the utility of the number of different words, VocD statistic, and word and morpheme omissions in each language for predicting language status. Omission errors turned out to be the best predictors of bilingual language impairment at all ages, and this held true across languages. Although lexical diversity measures did not predict typical or atypical language status, the measures were significantly related to oral language proficiency in English and Spanish. The results underscore the significance of omission errors in bilingual language impairment while simultaneously revealing the limitations of lexical diversity measures as indicators of impairment. The relationship between lexical diversity and oral language proficiency highlights the importance of considering relative language proficiency in bilingual assessment.

Impact of Referral Source and Study Applicants’ Preference for Randomly Assigned Service on Research Enrollment, Service Engagement, and Evaluative Outcomes

PubMed Central

Macias, Cathaleene; Barreira, Paul; Hargreaves, William; Bickman, Leonard; Fisher, William; Aronson, Elliot

2009-01-01

Objective The inability to blind research participants to their experimental conditions is the Achilles’ heel of mental health services research. When one experimental condition receives more disappointed participants, or more satisfied participants, research findings can be biased in spite of random assignment. The authors explored the potential for research participants’ preference for one experimental program over another to compromise the generalizability and validity of randomized controlled service evaluations as well as cross-study comparisons. Method Three Cox regression analyses measured the impact of applicants’ service assignment preference on research project enrollment, engagement in assigned services, and a service-related outcome, competitive employment. Results A stated service preference, referral by an agency with a low level of continuity in outpatient care, and willingness to switch from current services were significant positive predictors of research enrollment. Match to service assignment preference was a significant positive predictor of service engagement, and mismatch to assignment preference was a significant negative predictor of both service engagement and employment outcome. Conclusions Referral source type and service assignment preference should be routinely measured and statistically controlled for in all studies of mental health service effectiveness to provide a sound empirical base for evidence-based practice. PMID:15800153

Predictors of Attitudes Toward Non-Technical Skills in Farming.

PubMed

Irwin, Amy; Poots, Jill

2018-01-01

Farming is a high-risk sector with up to 170,000 worldwide fatalities reported per year; it is therefore vital to identify methods of mitigating the dangers of this industry. Research within high-risk industries, such as aviation, shipping, and agriculture, has identified the importance of non-technical skills (NTS) in maintaining effective, safe performance and reducing error and injury. However, there is a lack of research evaluating factors that may contribute to NTS attitudes and behaviors. As a first step to address this literature gap, the current study evaluated a range of individual and environmental factors as potential predictors of attitudes toward NTS in agriculture. A sample of 170 farmers from within the United Kingdom and Ireland were surveyed using an online questionnaire. The questionnaire included measures of personality, stress, attitudes toward safety (safety climate, motivation, and risk), environmental stressors (workload, work-life imbalance), and non-technical skills (team and lone worker). Attitudes toward safety climate, compliance, and motivation showed a significant association with both team-based and lone worker NTS. Conscientiousness correlated positively with the majority of the NTS elements. Multiple regression analysis indicated neuroticism and conscientiousness demonstrated capacity to predict NTS attitudes. Concerns about costs and equipment, attitudes toward safety climate, and safety motivation were also found to be significant predictors of NTS attitudes. The results indicate the utility of individual characteristics and environmental factors when predicting farming NTS attitudes. As a result, these elements could be important when evaluating engagement with NTS and developing NTS training initiatives in agriculture.

Student Admission Criteria as Predictors of Research Potential.

ERIC Educational Resources Information Center

Cotton, Gary L.; And Others

1986-01-01

A study at one university found that traditional admission criteria for a graduate microbiology program, undergraduate grade point average, and Graduate Record Examination scores, were not good predictors of student potential as a researcher, as measured by faculty ratings. (MSE)

An evaluation of height as an early selection criterion for volume and predictor of site index gain in the western gulf

Treesearch

E.M. Raley; D.P. Gwaze; T.D. Byram

2003-01-01

Data from repeated periodic measures of height, diameter and volume from eleven lobiolly pine progeny tests maintained as part of the Western Gulf Forest Tree Improvement Program (WGFTIP) were analyzed to 1) determine the potential of using early heighf diameter. or volume as selection criteria for rotation-age volume, and 2) to develop a method of expressing height...

Emotional Intelligence and Personality Traits as Predictors of Occupational Therapy students' Practice Education Performance: A Cross-Sectional Study.

PubMed

Brown, Ted; Williams, Brett; Etherington, Jamie

2016-12-01

This study investigated whether occupational therapy students' emotional intelligence and personality traits are predictive of specific aspects of their fieldwork performance. A total of 114 second and third year undergraduate occupational therapy students (86.6% response rate) completed the Genos Emotional Intelligence Inventory (Genos EI) and the Ten-Item Personality Inventory (TIPI). Fieldwork performance scores were obtained from the Student Practice Evaluation Form Revised (SPEF-R). Linear regressions were completed with the SPEF-R domains being the dependent variables and the Genos EI and TIPI factors being the independent variables. Regression analysis results revealed that the Genos EI subscales of Emotional Management of Others (EMO), Emotional Awareness of Others (EAO), Emotional Expression (EEX) and Emotional Reasoning (ERE) were significant predictors of various domains of students' fieldwork performance. EAO and ERE were significant predictors of students' Communication Skills accounting for 4.6% of its variance. EMO, EAO, EEX and ERE were significant predictors of students' Documentation Skills explaining 6.8% of its variance. EMO was a significant predictor of students' Professional Behaviour accounting for 3.2% of its variance. No TIPI factors were found to be significant predictors of the SPEF-R domains. Occupational therapy students' emotional intelligence was a significant predictor of components of their fieldwork performance while students' personality traits were not. The convenience sampling approach used, small sample size recruited and potential issue of social desirability of the self-reported Genos EI and TIPI data are acknowledged as study limitations. It is recommended that other studies be completed to investigate if any other relevant constructs or factors are predictive of occupational therapy students' fieldwork performance. Copyright © 2016 John Wiley & Sons, Ltd. Copyright © 2016 John Wiley & Sons, Ltd.

Factors predicting labor induction success: a critical analysis.

PubMed

Crane, Joan M G

2006-09-01

Because of the risk of failed induction of labor, a variety of maternal and fetal factors as well as screening tests have been suggested to predict labor induction success. Certain characteristics of the woman (including parity, age, weight, height and body mass index), and of the fetus (including birth weight and gestational age) are associated with the success of labor induction; with parous, young women who are taller and lower weight having a higher rate of induction success. Fetuses with a lower birth weight or increased gestational age are also associated with increased induction success. The condition of the cervix at the start of induction is an important predictor, with the modified Bishop score being a widely used scoring system. The most important element of the Bishop score is dilatation. Other predictors, including transvaginal ultrasound (TVUS) and biochemical markers [including fetal fibronectin (fFN)] have been suggested. Meta-analyses of studies identified from MEDLINE, PubMed, and EMBASE and published from 1990 to October 2005 were performed evaluating the use of TVUS and fFN in predicting labor induction success in women at term with singleton gestations. Both TVUS and Bishop score predicted successful induction [likelihood ratio (LR)=1.82, 95% confidence interval (CI)=1.51-2.20 and LR=2.10, 95%CI=1.67-2.64, respectively]. As well, fFN and Bishop score predicted successful induction (LR=1.49, 95%CI=1.20-1.85, and LR=2.62, 95%CI=1.88-3.64, respectively). Although TVUS and fFN predicted successful labor induction, neither has been shown to be superior to Bishop score. Further research is needed to evaluate these potential predictors and insulin-like growth factor binding protein-1 (IGFBP-1), another potential biochemical marker.

Impact of Body Weight and Body Composition on Ovarian Cancer Prognosis.

PubMed

Purcell, Sarah A; Elliott, Sarah A; Kroenke, Candyce H; Sawyer, Michael B; Prado, Carla M

2016-02-01

Measures of body weight and anthropometrics such as body mass index (BMI) are commonly used to assess nutritional status in clinical conditions including cancer. Extensive research has evaluated associations between body weight and prognosis in ovarian cancer patients, yet little is known about the potential impact of body composition (fat mass (FM) and fat-free mass (FFM)) in these patients. Thus, the purpose of this publication was to review the literature (using PubMed and EMBASE) evaluating the impact of body weight and particularly body composition on surgical complications, morbidity, chemotherapy dosing and toxicity (as predictors of prognosis), and survival in ovarian cancer patients. Body weight is rarely associated with intra-operative complications, but obesity predicts higher rates of venous thromboembolism and wound complications post-operatively in ovarian cancer patients. Low levels of FM and FFM are superior predictors of length of hospital stay compared to measures of body weight alone, but the role of body composition on other surgical morbidities is unknown. Obesity complicates chemotherapy dosing due to altered pharmacokinetics, imprecise dosing strategies, and wide variability in FM and FFM. Measurement of body composition has the potential to reduce toxicity if the results are incorporated into chemotherapy dosing calculations. Some findings suggest that excess body weight adversely affects survival, while others find no such association. Limited studies indicate that FM is a better predictor of survival than body weight in ovarian cancer patients, but the direction of this relationship has not been determined. In conclusion, body composition as an indicator of nutritional status is a better prognostic tool than body weight or BMI alone in ovarian cancer patients.

Corticospinal excitability as a predictor of functional gains at the affected upper limb following robotic training in chronic stroke survivors

PubMed Central

Milot, Marie-Hélène; Spencer, Steven J.; Chan, Vicky; Allington, James P.; Klein, Julius; Chou, Cathy; Pearson-Fuhrhop, Kristin; Bobrow, James E.; Reinkensmeyer, David J.; Cramer, Steven C.

2014-01-01

Background Robotic training can help improve function of a paretic limb following a stroke, but individuals respond differently to the training. A predictor of functional gains might improve the ability to select those individuals more likely to benefit from robot based therapy. Studies evaluating predictors of functional improvement after a robotic training are scarce. One study has found that white matter tract integrity predicts functional gains following a robotic training of the hand and wrist. Objective Determine the predictive ability of behavioral and brain measures to improve selection of individuals for robotic training. Methods Twenty subjects with chronic stroke participated in an 8-week course of robotic exoskeletal training for the arm. Before training, a clinical evaluation, fMRI, diffusion tensor imaging, and transcranial magnetic stimulation (TMS) were each measured as predictors. Final functional gain was defined as change in the Box and Block Test (BBT). Measures significant in bivariate analysis were fed into a multivariate linear regression model. Results Training was associated with an average gain of 6±5 blocks on the BBT (p<0.0001). Bivariate analysis revealed that lower baseline motor evoked potential (MEP) amplitude on TMS, and lower laterality M1 index on fMRI each significantly correlated with greater BBT change. In the multivariate linear regression analysis, baseline MEP magnitude was the only measure that remained significant. Conclusion Subjects with lower baseline MEP magnitude benefited the most from robotic training of the affected arm. These subjects might have reserve remaining for the training to boost corticospinal excitability, translating into functional gains. PMID:24642382

Remote sensing-based predictors improve distribution models of rare, early successional and boradleaf tree species in Utah

Treesearch

N. E. Zimmermann; T. C. Edwards; G. G. Moisen; T. S. Frescino; J. A. Blackard

2007-01-01

Compared to bioclimatic variables, remote sensing predictors are rarely used for predictive species modelling. When used, the predictors represent typically habitat classifications or filters rather than gradual spectral, surface or biophysical properties. Consequently, the full potential of remotely sensed predictors for modelling the spatial distribution of species...

A pilot study evaluating the effects of a youth advocacy program on youth readiness to advocate for environment and policy changes for obesity prevention.

PubMed

Millstein, Rachel A; Woodruff, Susan I; Linton, Leslie S; Edwards, Christine C; Sallis, James F

2016-12-01

Youth advocacy for obesity prevention is a promising but under-evaluated intervention. The aims of this study are to evaluate a youth advocacy program's outcomes related to youth perceptions and behaviors, develop an index of youth advocacy readiness, and assess potential predictors of advocacy readiness. Youth ages 9-22 in an advocacy training program (n = 92 matched pairs) completed surveys before and after training. Youth outcomes and potential predictors of advocacy readiness were assessed with evaluated scales. All 20 groups who completed the evaluation study presented their advocacy projects to a decision maker. Two of six perception subscales increased following participation in the advocacy program: self-efficacy for advocacy behaviors (p < .001) and participation in advocacy (p < .01). Four of five knowledge and skills subscales increased: assertiveness (p < .01), health advocacy history (p < .001), knowledge of resources (p < .01), and social support for health behaviors (p < .001). Youth increased days of meeting physical activity recommendations (p < .05). In a mixed regression model, four subscales were associated with the advocacy readiness index: optimism for change (B = 1.46, 95 % CI = .49-2.44), sports and physical activity enjoyment (B = .55, 95 % CI = .05-1.05), roles and participation (B = 1.81, 95 % CI = .60-3.02), and advocacy activities (B = 1.49, 95 % CI = .64-2.32). The youth advocacy readiness index is a novel way to determine the effects of multiple correlates of advocacy readiness. Childhood obesity-related advocacy training appeared to improve youths' readiness for advocacy and physical activity.

Landscape scale measures of steelhead (Oncorhynchus mykiss) bioenergetic growth rate potential in Lake Michigan and comparison with angler catch rates

USGS Publications Warehouse

Hook, T.O.; Rutherford, E.S.; Brines, Shannon J.; Geddes, C.A.; Mason, D.M.; Schwab, D.J.; Fleischer, G.W.

2004-01-01

The relative quality of a habitat can influence fish consumption, growth, mortality, and production. In order to quantify habitat quality, several authors have combined bioenergetic and foraging models to generate spatially explicit estimates of fish growth rate potential (GRP). However, the capacity of GRP to reflect the spatial distributions of fishes over large areas has not been fully evaluated. We generated landscape scale estimates of steelhead (Oncorhynchus mykiss) GRP throughout Lake Michigan for 1994-1996, and used these estimates to test the hypotheses that GRP is a good predictor of spatial patterns of steelhead catch rates. We used surface temperatures (measured with AVHRR satellite imagery) and acoustically measured steelhead prey densities (alewife, Alosa pseudoharengus) as inputs for the GRP model. Our analyses demonstrate that potential steelhead growth rates in Lake Michigan are highly variable in both space and time. Steelhead GRP tended to increase with latitude, and mean GRP was much higher during September 1995, compared to 1994 and 1996. In addition, our study suggests that landscape scale measures of GRP are not good predictors of steelhead catch rates throughout Lake Michigan, but may provide an index of interannual variation in system-wide habitat quality.

Electronegativity and intrinsic disorder of preeclampsia-related proteins.

PubMed

Polanco, Carlos; Castañón-González, Jorge Alberto; Uversky, Vladimir N; Buhse, Thomas; Samaniego Mendoza, José Lino; Calva, Juan J

2017-01-01

Preeclampsia, hemorrhage, and infection are the leading causes of maternal death in underdeveloped countries. Since several proteins associated with preeclampsia are known, we conducted a computational study which evaluated the commonness and potential functionality of intrinsic disorder of these proteins and also made an attempt to characterize their origin. The origin of the preeclampsia-related proteins was assessed with a supervised technique, a Polarity Index Method (PIM), which evaluates the electronegativity of proteins based solely on their sequence. The commonness of intrinsic disorder was evaluated using several disorder predictors from the PONDR family, the charge-hydropathy plot (CH-plot) and cumulative distribution function (CDF) analyses, and using the MobiDB web-based tool, whereas potential functionality of intrinsic disorder was studied with the D2P2 resource and ANCHOR predictor of disorder-based binding sites, and the STRING tool was used to build the interactivity networks of the preeclampsia-related proteins. Peculiarities of the PIM-derived polar profile of the group of preeclampsia-related proteins were then compared with profiles of a group of lipoproteins, antimicrobial peptides, angiogenesis-related proteins, and the intrinsically disordered proteins. Our results showed a high graphical correlation between preeclampsia proteins, lipoproteins, and the angiogenesis proteins. We also showed that many preeclampsia-related proteins contain numerous functional disordered regions. Therefore, these bioinformatics results led us to assume that the preeclampsia proteins are highly associated with the lipoproteins group, and that some preeclampsia-related proteins contain significant amounts of functional disorders.

RS-predictor: a new tool for predicting sites of cytochrome P450-mediated metabolism applied to CYP 3A4.

PubMed

Zaretzki, Jed; Bergeron, Charles; Rydberg, Patrik; Huang, Tao-wei; Bennett, Kristin P; Breneman, Curt M

2011-07-25

This article describes RegioSelectivity-Predictor (RS-Predictor), a new in silico method for generating predictive models of P450-mediated metabolism for drug-like compounds. Within this method, potential sites of metabolism (SOMs) are represented as "metabolophores": A concept that describes the hierarchical combination of topological and quantum chemical descriptors needed to represent the reactivity of potential metabolic reaction sites. RS-Predictor modeling involves the use of metabolophore descriptors together with multiple-instance ranking (MIRank) to generate an optimized descriptor weight vector that encodes regioselectivity trends across all cases in a training set. The resulting pathway-independent (O-dealkylation vs N-oxidation vs Csp(3) hydroxylation, etc.), isozyme-specific regioselectivity model may be used to predict potential metabolic liabilities. In the present work, cross-validated RS-Predictor models were generated for a set of 394 substrates of CYP 3A4 as a proof-of-principle for the method. Rank aggregation was then employed to merge independently generated predictions for each substrate into a single consensus prediction. The resulting consensus RS-Predictor models were shown to reliably identify at least one observed site of metabolism in the top two rank-positions on 78% of the substrates. Comparisons between RS-Predictor and previously described regioselectivity prediction methods reveal new insights into how in silico metabolite prediction methods should be compared.

Potential Audiological and MRI Markers of Tinnitus.

PubMed

Gopal, Kamakshi V; Thomas, Binu P; Nandy, Rajesh; Mao, Deng; Lu, Hanzhang

2017-09-01

Subjective tinnitus, or ringing sensation in the ear, is a common disorder with no accepted objective diagnostic markers. The purpose of this study was to identify possible objective markers of tinnitus by combining audiological and imaging-based techniques. Case-control studies. Twenty adults drawn from our audiology clinic served as participants. The tinnitus group consisted of ten participants with chronic bilateral constant tinnitus, and the control group consisted of ten participants with no history of tinnitus. Each participant with tinnitus was closely matched with a control participant on the basis of age, gender, and hearing thresholds. Data acquisition focused on systematic administration and evaluation of various audiological tests, including auditory-evoked potentials (AEP) and otoacoustic emissions, and magnetic resonance imaging (MRI) tests. A total of 14 objective test measures (predictors) obtained from audiological and MRI tests were subjected to statistical analyses to identify the best predictors of tinnitus group membership. The least absolute shrinkage and selection operator technique for feature extraction, supplemented by the leave-one-out cross-validation technique, were used to extract the best predictors. This approach provided a conservative model that was highly regularized with its error within 1 standard error of the minimum. The model selected increased frontal cortex (FC) functional MRI activity to pure tones matching their respective tinnitus pitch, and augmented AEP wave N₁ amplitude growth in the tinnitus group as the top two predictors of tinnitus group membership. These findings suggest that the amplified responses to acoustic signals and hyperactivity in attention regions of the brain may be a result of overattention among individuals that experience chronic tinnitus. These results suggest that increased functional MRI activity in the FC to sounds and augmented N₁ amplitude growth may potentially be the objective diagnostic indicators of tinnitus. However, due to the small sample size and lack of subgroups within the tinnitus population in this study, more research is needed before generalizing these findings. American Academy of Audiology

Predictors of Future Performance in Architectural Design Education

ERIC Educational Resources Information Center

Roberts, A. S.

2007-01-01

The link between academic performance in secondary education and the subsequent performance of students studying architecture at university level is commonly questioned by educators and admissions tutors. This paper investigates the potential for using measures of cognitive style and spatial ability as predictors of future potential in…

Predictors of Recurrent Hospital Admission for Patients Presenting With Diabetic Ketoacidosis and Hyperglycemic Hyperosmolar State.

PubMed

Bradford, Annabel L; Crider, Courtney Champagne; Xu, Xizheng; Naqvi, Syed Hasan

2017-01-01

Diabetic ketoacidosis (DKA) and hyperglycemic hyperosmolar state (HHS) are two serious, preventable complications of diabetes mellitus. Analysis of variables associated with recurrent DKA and HHS admission has the potential to improve patient outcomes by identifying possible areas for intervention. The aim of this study was to evaluate potential predictors of recurrent DKA or HHS admission. This was a retrospective case-control study of 367 patients presenting during a 5-year period with DKA or HHS at a US tertiary academic medical center. Six potential readmission risk factors identified via literature review were coded as "1" if present and "0" if absent. Readmission odds ratios (ORs) for each risk factor and for the combined score of significant risk factors were calculated by logistic regression. Readmission odds were significantly increased for patients with age < 35, history of depression or substance/alcohol abuse, and self-pay/publicly funded insurance. HbA1C > 10.6% on admission and ethnic minority status did not significantly increase readmission odds, with inadequate study power for these variables. A total "ABCD" score, based on Age (< 35 years), Behavioral health (depression), insurance Coverage (self-pay/publicly funded insurance), and Drug/alcohol abuse, also had a significant effect on readmission odds. Consideration of individual risk factors and the use of a scoring system based on objective predictors of recurrent DKA and HHS admission could be of value in helping identify patients with high readmission risk, allowing interventions to be targeted most effectively to reduce readmission rates, associated morbidity, and mortality.

Prior Interpersonal Violence Exposure and Experiences During and After a Disaster as Predictors of Posttraumatic Stress Disorder and Depression Among Adolescent Victims of the Spring 2011 Tornadoes.

PubMed

Resnick, Heidi; Zuromski, Kelly L; Galea, Sandro; Price, Matthew; Gilmore, Amanda K; Kilpatrick, Dean G; Ruggiero, Kenneth

2017-07-01

The purpose of the current report was to examine prior history of exposure to interpersonal violence (IPV), as compared with prior accident or prior disaster exposure, experiences during and after a disaster, and demographic variables as predictors of past month posttraumatic stress disorder (PTSD) and depression severity among adolescents exposed to the tornadoes in Alabama and Missouri. IPV exposure has been consistently identified as a unique category of potentially traumatic events (PTE) that significantly increases risk for development of PTSD and other difficulties relative to other event types among adolescents. A population-based sample of adolescents and caregivers ( N = 2,000) were recruited randomly from tornado-affected communities in Alabama and Joplin, Missouri. Participants completed structured telephone interviews on an average of 8.8 months posttornado. Prior history of IPV was prevalent (36.5%), as was reported history of accidents (25.9%) and prior disaster exposure (26.9%). Negative binomial regression analyses with PTSD and depression symptom counts for past month as outcome variables indicated that history of predisaster IPV was most robustly related to PTSD and depression symptoms, such that those with a history of IPV endorsed over 3 times the number of symptoms than those without IPV history. Final model statistics indicated that female gender, physical injury to caregiver, concern about others' safety, prior disaster, prior accident, and prior IPV exposure were also related to PTSD. Predictors of depression symptoms were similar with the exception that concern about others' safety was not a predictor and age was a predictor in the final model. It is important to evaluate potential additive effects of IPV history in addition to recent disaster exposure variables and to consider such history when developing interventions aimed to reduce or prevent symptoms of PTSD and depression among adolescents recently exposed to disaster.

Long-term outcomes and predictors of internet-delivered cognitive behavioral therapy for childhood anxiety disorders.

PubMed

Vigerland, Sarah; Serlachius, Eva; Thulin, Ulrika; Andersson, Gerhard; Larsson, Jan-Olov; Ljótsson, Brjánn

2017-03-01

This study investigated the long-term outcomes of internet-delivered cognitive behavior therapy (ICBT) for children with anxiety disorders, and potential pre-treatment predictors of treatment outcome. The sample included eighty-four children (8-12 years old) with anxiety disorders, from both a treatment group and a waitlist control (after participants had crossed over to treatment) of a previous randomized controlled study. Participants were assessed at post-treatment and three- and twelve-months after treatment using a semi-structured interview and parent ratings. Pre-treatment data were used to investigate predictors of treatment outcome at three-month follow-up. Intention-to-treat analysis showed that treatment gains were maintained at twelve-month follow-up, including clinician rated severity of the principal anxiety disorder, parent rated anxiety symptoms and global functioning, with mainly large effect sizes (Cohen's d = 0.63-2.35). Completer analyses showed that suspected autism spectrum disorder was associated with less change in symptom severity. No other pre-treatment measures significantly predicted treatment outcome. This study suggests that internet-delivered CBT can have long-term beneficial effects for children with anxiety disorders. Predictors of treatment outcome need to be evaluated further. Clinicaltrials.gov; NCT01533402. Copyright © 2016 Elsevier Ltd. All rights reserved.

National Trends and Predictors of Locally Advanced Penile Cancer in the United States (1998-2012).

PubMed

Chipollini, Juan; Chaing, Sharon; Peyton, Charles C; Sharma, Pranav; Kidd, Laura C; Giuliano, Anna R; Johnstone, Peter A; Spiess, Philippe E

2017-08-12

We analyzed the trends in presentation of squamous cell carcinoma (SCC) of the penis and determined the socioeconomic predictors for locally advanced (cT3-cT4) disease in the United States. The National Cancer Database was queried for patients with clinically nonmetastatic penile SCC and staging available from 1998 to 2012. Temporal trends per tumor stage were evaluated, and a multivariable logistic regression model was used to identify predictors for advanced presentation during the study period. A total of 5767 patients with stage ≤ T1-T2 (n = 5423) and T3-T4 (n = 344) disease were identified. Increasing trends were noted in all stages of penile SCC with a greater proportion of advanced cases over time (P = .001). Significant predictors of advanced presentation were age > 55 years, the presence of comorbidities, and Medicaid or no insurance (P < .05 for all). More penile SCC is being detected in the United States. Our results have demonstrated older age, presence of comorbidities, and Medicaid or no insurance as potential barriers to early access of care in the male population. Understanding the current socioeconomic gaps could help guide targeted interventions in vulnerable populations. Copyright © 2017 Elsevier Inc. All rights reserved.

Below-ground biotic interactions moderated the postglacial range dynamics of trees.

PubMed

Pither, Jason; Pickles, Brian J; Simard, Suzanne W; Ordonez, Alejandro; Williams, John W

2018-05-17

Tree range shifts during geohistorical global change events provide a useful real-world model for how future changes in forest biomes may proceed. In North America, during the last deglaciation, the distributions of tree taxa varied significantly as regards the rate and direction of their responses for reasons that remain unclear. Local-scale processes such as establishment, growth, and resilience to environmental stress ultimately influence range dynamics. Despite the fact that interactions between trees and soil biota are known to influence local-scale processes profoundly, evidence linking below-ground interactions to distribution dynamics remains scarce. We evaluated climate velocity and plant traits related to dispersal, environmental tolerance and below-ground symbioses, as potential predictors of the geohistorical rates of expansion and contraction of the core distributions of tree genera between 16 and 7 ka bp. The receptivity of host genera towards ectomycorrhizal fungi was strongly supported as a positive predictor of poleward rates of distribution expansion, and seed mass was supported as a negative predictor. Climate velocity gained support as a positive predictor of rates of distribution contraction, but not expansion. Our findings indicate that understanding how tree distributions, and thus forest ecosystems, respond to climate change requires the simultaneous consideration of traits, biotic interactions and abiotic forcing. © 2018 The Authors. New Phytologist © 2018 New Phytologist Trust.

Predictors of Creative Achievement: Assessing the Impact of Entrepreneurial Potential, Perfectionism, and Employee Engagement

ERIC Educational Resources Information Center

Ahmetoglu, Gorkan; Harding, Xanthe; Akhtar, Reece; Chamorro-Premuzic, Tomas

2015-01-01

Creativity is a key ingredient of organizational effectiveness, business innovation, and entrepreneurship. Yet there remain substantial gaps in the literature in terms of understanding the antecedents of creative achievement. This study investigated the effect of perfectionism, employee engagement, and entrepreneurial potential as predictors of…

Predictors and Rates of Delayed Symptomatic Hyponatremia after Transsphenoidal Surgery: A Systematic Review [corrected].

PubMed

Cote, David J; Alzarea, Abdulaziz; Acosta, Michael A; Hulou, Mohamed Maher; Huang, Kevin T; Almutairi, Hamoud; Alharbi, Ahmad; Zaidi, Hasan A; Algrani, Majed; Alatawi, Ahmad; Mekary, Rania A; Smith, Timothy R

2016-04-01

Delayed symptomatic hyponatremia (DSH) is a known complication of transsphenoidal surgery that can lead to prolonged hospital stay, readmission, and in rare cases, death. Many potential predictors for development of DSH have been investigated. A better understanding of DSH risk can lead to better patient outcomes. We performed a systematic review to determine the rates and predictors of DSH after both endoscopic transsphenoidal surgery and microscopic transsphenoidal surgery. A systematic search of the literature was conducted using MEDLINE/PUBMED, EMBASE, and Cochrane databases. Inclusion criteria were 1) case series with at least 10 cases reported, 2) adult patients who underwent eTSS or mTSS for pituitary tumors, and 3) reported occurrence of DSH (defined as serum sodium level <135 mEq/L with associated symptoms) after postoperative day 3. Data were analyzed using CMA V.3 Statistical Software (2014). Ten case series satisfied the inclusion criteria for a total of 2947 patients. Various factors including age, gender, cerebrospinal fluid leak, and tumor size were investigated as potential predictors of DSH. DSH event rates for both mTSS and eTSS fell between around 4 and 12 percent and included a variety of proposed predictors. Age, gender, tumor size, rate of decline of blood sodium, and Cushing disease are potential predictors of DSH. By identifying patients at high risk for DSH, preventative efforts can be implemented in the perioperative setting to reduce the incidence of potentially catastrophic hyponatremia following transsphenoidal surgery. Copyright © 2016 Elsevier Inc. All rights reserved.

Fall predictors in older cancer patients: a multicenter prospective study.

PubMed

Vande Walle, Nathalie; Kenis, Cindy; Heeren, Pieter; Van Puyvelde, Katrien; Decoster, Lore; Beyer, Ingo; Conings, Godelieve; Flamaing, Johan; Lobelle, Jean-Pierre; Wildiers, Hans; Milisen, Koen

2014-12-15

In the older population falls are a common problem and a major cause of morbidity, mortality and functional decline. The etiology is often multifactorial making the identification of fall predictors essential for preventive measures. Despite this knowledge, data on falls within the older cancer population are limited. The objective of this study was to evaluate the occurrence of falls within 2 to 3 months after cancer treatment decision and to identify predictors of falls (≥1 fall) during follow-up. Older patients (70 years or more) with a cancer treatment decision were included. At baseline, all patients underwent geriatric screening (G8 and Flemish Triage Risk Screening Tool), followed by a geriatric assessment including living situation, activities of daily living (ADL), instrumental activities of daily living (IADL), fall history in the past 12 months, fatigue, cognition, depression, nutrition, comorbidities and polypharmacy. Questionnaires were used to collect follow-up (2-3 months) data. Univariate and multivariate analyses were performed to identify predictors for falls (≥1 fall) during follow-up. At baseline, 295 (31.5%) of 937 included patients reported at least one fall in the past 12 months with 88 patients (29.5%) sustaining a major injury. During follow-up (2-3 months), 142 (17.6%) patients fell, of whom 51.4% fell recurrently and 17.6% reported a major injury. Baseline fall history in the past 12 months (OR = 3.926), fatigue (OR = 0.380), ADL dependency (OR = 0.492), geriatric risk profile by G8 (OR = 0.471) and living alone (OR = 1.631) were independent predictors of falls (≥1 fall) within 2-3 months after cancer treatment decision. Falls are a serious problem among older cancer patients. Geriatric screening and assessment data can identify patients at risk for a fall. A patient with risk factors associated with falls should undergo further evaluation and intervention to prevent potentially injurious fall incidents.

Family and school environmental predictors of sleep bruxism in children.

PubMed

Rossi, Debora; Manfredini, Daniele

2013-01-01

To identify potential predictors of self-reported sleep bruxism (SB) within children's family and school environments. A total of 65 primary school children (55.4% males, mean age 9.3 ± 1.9 years) were administered a 10-item questionnaire investigating the prevalence of self-reported SB as well as nine family and school-related potential bruxism predictors. Regression analyses were performed to assess the correlation between the potential predictors and SB. A positive answer to the self-reported SB item was endorsed by 18.8% of subjects, with no sex differences. Multiple variable regression analysis identified a final model showing that having divorced parents and not falling asleep easily were the only two weak predictors of self-reported SB. The percentage of explained variance for SB by the final multiple regression model was 13.3% (Nagelkerke's R² = 0.133). While having a high specificity and a good negative predictive value, the model showed unacceptable sensitivity and positive predictive values. The resulting accuracy to predict the presence of self-reported SB was 73.8%. The present investigation suggested that, among family and school-related matters, having divorced parents and not falling asleep easily were two predictors, even if weak, of a child's self-report of SB.

Aristotle score predicts outcome in patients requiring extracorporeal circulatory support following repair of congenital heart disease.

PubMed

Derby, Christopher D; Kolcz, Jacek; Kerins, Paul J; Duncan, Daniel R; Quezada, Emilio; Pizarro, Christian

2007-01-01

Extracorporeal membrane oxygenation (ECMO) has become the standard technique of mechanical support for the failing circulation following repair of congenital heart lesions. The objective of this study was to identify predictors of survival in patients requiring postcardiotomy ECMO. The Aristotle score, a method developed to evaluate quality of care based on complexity, was investigated as a potential predictor of outcome. Between 2003 and 2005, 37 patients required ECMO following corrective surgery for congenital heart disease. Records were reviewed retrospectively with emphasis on factors affecting survival to discharge. The comprehensive Aristotle complexity score was calculated for each patient. Overall, 28 patients (76%) survived to decannulation and 17 patients (46%) survived to discharge. There were 24 (65%) neonates and 10 patients (27%) with single ventricle physiology, with a hospital survival of 42% (10 of 24) and 50% (5 of 10), respectively. Univariate factors associated with survival included Aristotle score, duration of support, reexploration, multiple organ failure, and number of complications. Age, weight, and single-ventricle physiology were not significant. In a logistic regression model, an Aristotle score < 14 was identified as a predictor of survival (OR 0.12, CI 0.02-0.87). The Aristotle score is predictive of outcome in patients requiring postcardiotomy ECMO and may serve as a uniform criterion when comparing and evaluating quality of care and performance in this complex patient population.

Big Data Toolsets to Pharmacometrics: Application of Machine Learning for Time-to-Event Analysis.

PubMed

Gong, Xiajing; Hu, Meng; Zhao, Liang

2018-05-01

Additional value can be potentially created by applying big data tools to address pharmacometric problems. The performances of machine learning (ML) methods and the Cox regression model were evaluated based on simulated time-to-event data synthesized under various preset scenarios, i.e., with linear vs. nonlinear and dependent vs. independent predictors in the proportional hazard function, or with high-dimensional data featured by a large number of predictor variables. Our results showed that ML-based methods outperformed the Cox model in prediction performance as assessed by concordance index and in identifying the preset influential variables for high-dimensional data. The prediction performances of ML-based methods are also less sensitive to data size and censoring rates than the Cox regression model. In conclusion, ML-based methods provide a powerful tool for time-to-event analysis, with a built-in capacity for high-dimensional data and better performance when the predictor variables assume nonlinear relationships in the hazard function. © 2018 The Authors. Clinical and Translational Science published by Wiley Periodicals, Inc. on behalf of American Society for Clinical Pharmacology and Therapeutics.

A Systematic Review and Meta-Analysis of the Relationship Between Brain Data and the Outcome in Disorders of Consciousness

PubMed Central

Kotchoubey, Boris; Pavlov, Yuri G.

2018-01-01

A systematic search revealed 68 empirical studies of neurophysiological [EEG, event-related brain potential (ERP), fMRI, PET] variables as potential outcome predictors in patients with Disorders of Consciousness (diagnoses Unresponsive Wakefulness Syndrome [UWS] and Minimally Conscious State [MCS]). Data of 47 publications could be presented in a quantitative manner and systematically reviewed. Insufficient power and the lack of an appropriate description of patient selection each characterized about a half of all publications. In more than 80% studies, neurologists who evaluated the patients’ outcomes were familiar with the results of neurophysiological tests conducted before, and may, therefore, have been influenced by this knowledge. In most subsamples of datasets, effect size significantly correlated with its standard error, indicating publication bias toward positive results. Neurophysiological data predicted the transition from UWS to MCS substantially better than they predicted the recovery of consciousness (i.e., the transition from UWS or MCS to exit-MCS). A meta-analysis was carried out for predictor groups including at least three independent studies with N > 10 per predictor per improvement criterion (i.e., transition to MCS versus recovery). Oscillatory EEG responses were the only predictor group whose effect attained significance for both improvement criteria. Other perspective variables, whose true prognostic value should be explored in future studies, are sleep spindles in the EEG and the somatosensory cortical response N20. Contrary to what could be expected on the basis of neuroscience theory, the poorest prognostic effects were shown for fMRI responses to stimulation and for the ERP component P300. The meta-analytic results should be regarded as preliminary given the presence of numerous biases in the data. PMID:29867725

A Systematic Review and Meta-Analysis of the Relationship Between Brain Data and the Outcome in Disorders of Consciousness.

PubMed

Kotchoubey, Boris; Pavlov, Yuri G

2018-01-01

A systematic search revealed 68 empirical studies of neurophysiological [EEG, event-related brain potential (ERP), fMRI, PET] variables as potential outcome predictors in patients with Disorders of Consciousness (diagnoses Unresponsive Wakefulness Syndrome [UWS] and Minimally Conscious State [MCS]). Data of 47 publications could be presented in a quantitative manner and systematically reviewed. Insufficient power and the lack of an appropriate description of patient selection each characterized about a half of all publications. In more than 80% studies, neurologists who evaluated the patients' outcomes were familiar with the results of neurophysiological tests conducted before, and may, therefore, have been influenced by this knowledge. In most subsamples of datasets, effect size significantly correlated with its standard error, indicating publication bias toward positive results. Neurophysiological data predicted the transition from UWS to MCS substantially better than they predicted the recovery of consciousness (i.e., the transition from UWS or MCS to exit-MCS). A meta-analysis was carried out for predictor groups including at least three independent studies with N > 10 per predictor per improvement criterion (i.e., transition to MCS versus recovery). Oscillatory EEG responses were the only predictor group whose effect attained significance for both improvement criteria. Other perspective variables, whose true prognostic value should be explored in future studies, are sleep spindles in the EEG and the somatosensory cortical response N20. Contrary to what could be expected on the basis of neuroscience theory, the poorest prognostic effects were shown for fMRI responses to stimulation and for the ERP component P300. The meta-analytic results should be regarded as preliminary given the presence of numerous biases in the data.

Muscle Mass Loss Is a Potential Predictor of 90-Day Mortality in Older Adults with Aspiration Pneumonia.

PubMed

Maeda, Keisuke; Akagi, Junji

2017-01-01

To investigate the association between loss of muscle mass and aspiration pneumonia (AP). Prospective observational cohort. Acute geriatric hospital. Individuals admitted to the hospital for AP (N = 151; mean age 85.9; 49.7% male). Appendicular skeletal muscle index (ASMI; appendicular skeletal muscle mass divided by height squared) was used to evaluate muscle mass. Data on age, sex, body mass index, Mini Nutritional Assessment-Short Form score, Barthel Index score, Charlson Comorbidity Index score, and pneumonia severity (Japanese version of the CURB-65 (C (confusion), U (blood urea nitrogen ≥20 mg/dL), R (respiratory rate ≥30 breaths/min), B (systolic blood pressure <90 mmHg or diastolic blood pressure ≤60 mmHg), 65 (aged ≥65) severity score (A-DROP)) were obtained. Outcomes included 30- and 90-day mortality. Mild, moderate, severe, and extremely severe AP were observed in 1.3%, 70.2%, 25.8%, and 2.6% of participants, respectively. On Kaplan-Meier analysis, participants in the lowest ASMI quartile for each sex were more likely to die than those in the other quartiles (log-lank test P = .005). Multivariate logistic analyses showed that ASMI and A-DROP were independent predictors of 90-day mortality; only A-DROP was a significant predictor of 30-day mortality (P < .001). Cox regression analysis also showed that the first ASMI quartile was independently associated with mortality (hazard ratio = 2.19; 95% confidence interval = 1.06-4.52; P = .03). Low muscle mass is a potential predictor of long-term mortality in individuals with AP. Prospectively preventing muscle mass deterioration may be beneficial for recovery from AP in older adults. © 2016, Copyright the Authors Journal compilation © 2016, The American Geriatrics Society.

Surgical intensive care unit resource use in a specialty referral hospital: I. Predictors of early death and cost implications.

PubMed

Borlase, B C; Baxter, J T; Benotti, P N; Stone, M; Wood, E; Forse, R A; Blackburn, G L; Steele, G

1991-06-01

The rationing of medical care prioritizes the need for early predictors of death in the surgical intensive care unit (SICU). We prospectively studied 100 consecutive SICU admissions, looking for predictors of early death in the SICU and the cost implications of these findings. Serial APACHE II scores on days 1, 3, and 5 were subjected to multinomial logistic regression analysis to determine significant predictors of death in the SICU on day 1. Survivors had significantly lower (p less than 0.05) mean day-1 APACHE II scores than had nonsurvivors (13.6 vs 22.1). Half of the patients with scores greater than 18 died, and all patients with scores on day 1 of 25 or greater died. Significant predictors of death on SICU day 1 were APACHE II scores, Acute Physiology Score, Glasgow Coma Score, creatinine level, and Chronic Health Evaluation Score. Forty-one patients had been transferred from community hospitals as a results of acute illness; this population accounted for two thirds of the deaths in the SICU. Ten of 18 nonsurvivors were predicted on day 1, with these patients incurring a total cost of approximately $1 million. If therapy had been modified on days 5, 10, or 15, the potential cost savings would have been $340,000, $240,000, or $140,000, respectively. Integration of the results of this study into the management decision-making process and treatment guidelines may reduce the cost of care in the SICU.

Trajectories and Predictors of Response to the Challenging Horizons Program for Adolescents With ADHD.

PubMed

Langberg, Joshua M; Evans, Steven W; Schultz, Brandon K; Becker, Stephen P; Altaye, Mekibib; Girio-Herrera, Erin

2016-05-01

The Challenging Horizons After School Program is one of the only psychosocial interventions developed specifically for adolescents with attention-deficit/hyperactivity disorder (ADHD) that has demonstrated efficacy in multiple randomized controlled trials. To date, however, all research with the intervention has evaluated outcomes at the group level, and it is unclear whether all adolescents respond similarly, or if the intervention is particularly well suited for certain adolescents with ADHD. This type of information is needed to guide stakeholders in making informed choices as part of dissemination and implementation efforts. The purpose of this study was to evaluate trajectories of response to intervention for a large sample of middle-school age adolescents with ADHD (grades 6-8) who received the after-school intervention (N=112). An additional goal of the study was to evaluate potential predictors of response trajectories, focusing on determining what factors best distinguished between intervention responders and nonresponders. Latent trajectory analyses consistently revealed four or five distinct classes. Depending on the outcome, between 16% and 46% of participants made large improvements, moving into the normal range of functioning, and between 26% and 65% of participants made small or negligible improvements. Multivariate predictor analyses revealed that a strong counselor/adolescent working alliance rated from the adolescent perspective and lower levels of parenting stress and parent-adolescent conflict consistently predicted an increased likelihood of intervention response. Implications of these findings for disseminating the after school intervention and for further intervention development are discussed. Copyright © 2016. Published by Elsevier Ltd.

Successful treatment algorithm for evaluation of early pregnancy after in vitro fertilization.

PubMed

Cookingham, Lisa Marii; Goossen, Rachel P; Sparks, Amy E T; Van Voorhis, Bradley J; Duran, Eyup Hakan

2015-10-01

To evaluate a prospectively implemented clinical algorithm for early identification of ectopic pregnancy (EP) and heterotopic pregnancy (HP) after assisted reproductive technology (ART). Analysis of prospectively collected data. Academic medical center. All ART-conceived pregnancies between January 1995 and June 2013. Early pregnancy monitoring via clinical algorithm with all pregnancies screened using human chorionic gonadotropin (hCG) levels and reported symptoms, with subsequent early ultrasound evaluation if hCG levels were abnormal or if the patient reported pain or vaginal bleeding. Algorithmic efficiency for diagnosis of EP and HP and their subsequent clinical outcomes using a binary forward stepwise logistic regression model built to determine predictors of early pregnancy failure. Of the 3,904 pregnancies included, the incidence of EP and HP was 0.77% and 0.46%, respectively. The algorithm selected 96.7% and 83.3% of pregnancies diagnosed with EP and HP, respectively, for early ultrasound evaluation, leading to earlier treatment and resolution. Logistic regression revealed that first hCG, second hCG, hCG slope, age, pain, and vaginal bleeding were all independent predictors of early pregnancy failure after ART. Our clinical algorithm for early pregnancy evaluation after ART is effective for identification and prompt intervention of EP and HP without significant over- or misdiagnosis, and avoids the potential catastrophic morbidity associated with delayed diagnosis. Copyright © 2015 American Society for Reproductive Medicine. Published by Elsevier Inc. All rights reserved.

Exploring Statistics Anxiety: Contrasting Mathematical, Academic Performance and Trait Psychological Predictors

ERIC Educational Resources Information Center

Bourne, Victoria J.

2018-01-01

Statistics anxiety is experienced by a large number of psychology students, and previous research has examined a range of potential correlates, including academic performance, mathematical ability and psychological predictors. These varying predictors are often considered separately, although there may be shared variance between them. In the…

Quality of life in children with infantile hemangioma: a case control study.

PubMed

Wang, Chuan; Li, Yanan; Xiang, Bo; Xiong, Fei; Li, Kai; Yang, Kaiying; Chen, Siyuan; Ji, Yi

2017-11-16

Infantile hemangioma (IH) is the most common vascular tumor in children. It is controversial whether IHs has effects on the quality of life (QOL) in patients of whom IH poses no threat or potential for complication. Thus, we conducted this study to evaluate the q QOL in patients with IH and find the predictors of poor QOL. The PedsQL 4.0 Genetic Core Scales and the PedsQL family information form were administered to parents of children with IH and healthy children both younger than 2-year-old. The quality-of-life instrument for IH (IH-QOL) and the PedsQL 4.0 family impact module were administered to parents of children with IH. We compared the PedsQL 4.0 Genetic Core Scales (GCIS) scores of the two groups. Multiple step-wise regression analysis was used to determine factors that influenced QOL in children with IH and their parents. Except for physical symptom, we found no significant difference in GCIS between patient group and healthy group (P = 0.409). The internal reliability of IH-QOL was excellent with the Cronbach's alpha coefficient for summary scores being 0.76. Multiple step-wise regression analysis showed that the predictors of poor IH-QOL total scores were hemangioma size, location, and mother's education level. The predictors of poor FIM total scores were hemangioma location and father's education level. The predictors of poor GCIS total scores were children's age, hemangioma location and father's education level. The findings support the feasibility and reliability of the Chinese version of IH-QOL to evaluate the QOL in children with IH and their parents. Hemangioma size, location and education level of mother are important impact factors for QOL in children with IH and their parents.

Corticospinal excitability as a predictor of functional gains at the affected upper limb following robotic training in chronic stroke survivors.

PubMed

Milot, Marie-Hélène; Spencer, Steven J; Chan, Vicky; Allington, James P; Klein, Julius; Chou, Cathy; Pearson-Fuhrhop, Kristin; Bobrow, James E; Reinkensmeyer, David J; Cramer, Steven C

2014-01-01

Robotic training can help improve function of a paretic limb following a stroke, but individuals respond differently to the training. A predictor of functional gains might improve the ability to select those individuals more likely to benefit from robot-based therapy. Studies evaluating predictors of functional improvement after a robotic training are scarce. One study has found that white matter tract integrity predicts functional gains following a robotic training of the hand and wrist. Objective. To determine the predictive ability of behavioral and brain measures in order to improve selection of individuals for robotic training. Twenty subjects with chronic stroke participated in an 8-week course of robotic exoskeletal training for the arm. Before training, a clinical evaluation, functional magnetic resonance imaging (fMRI), diffusion tensor imaging, and transcranial magnetic stimulation (TMS) were each measured as predictors. Final functional gain was defined as change in the Box and Block Test (BBT). Measures significant in bivariate analysis were fed into a multivariate linear regression model. Training was associated with an average gain of 6 ± 5 blocks on the BBT (P < .0001). Bivariate analysis revealed that lower baseline motor-evoked potential (MEP) amplitude on TMS, and lower laterality M1 index on fMRI each significantly correlated with greater BBT change. In the multivariate linear regression analysis, baseline MEP magnitude was the only measure that remained significant. Subjects with lower baseline MEP magnitude benefited the most from robotic training of the affected arm. These subjects might have reserve remaining for the training to boost corticospinal excitability, translating into functional gains. © The Author(s) 2014.

MMP16 promotes tumor metastasis and indicates poor prognosis in hepatocellular carcinoma

PubMed Central

Shen, Zhenghai; Wang, Xing; Yu, Xiaotian; Zhang, Yun; Qin, Lei

2017-01-01

Matrix metalloproteinase (MMPs) participates in multiple biological behaviors and plays an important role in regulating tumor invasion. However, the functions of MMP16 in hepatocellular carcinoma (HCC) remains unknown. The prognostic value of MMP16 was studied in TCGA database and validation cohort. MMP16-silencing HCC cells (HepG2 and HCCLM3) were used for evaluating cell proliferation and invasion by CCK-8 and Transwell assays. Our results showed that the MMP16 was a predictor for overall survival in patients with HCC (HR: 1.169, 95% CI: 1.034–1.321, P = 0.013) in TCGA database. In validation cohort, MMP16 expression was an independent predictor for survival in both univariate and multivariate analysis (P < 0.05). Furthermore, knockdown MMP16 weakened the cell invasive potential by inhibiting epithelial-mesenchymal transition (EMT) process. Therefore, our findings showed that MMP16 was a prognostic factor in HCC, ectopic MMP16 expression promoted invasion of HCC cells by inducing EMT process, suggesting a tumor oncogenic function in HCC and provides the potential therapeutic target for the treatment of HCC. PMID:29069779

Development of Social Anxiety: Social Interaction Predictors of Implicit and Explicit Fear of Negative Evaluation

ERIC Educational Resources Information Center

Teachman, Bethany A.; Allen, Joseph P.

2007-01-01

Little is known about how to predict which individuals with known temperament vulnerabilities will go on to develop social anxiety problems. Adolescents (N = 185) were followed from age 13 to 18 to evaluate psychosocial, prospective predictors of social anxiety symptoms and fears of negative evaluation (FNE), after accounting for pre-existing…

A Systematic Review of Predictors of, and Reasons for, Adherence to Online Psychological Interventions.

PubMed

Beatty, Lisa; Binnion, Claire

2016-12-01

A key issue regarding the provision of psychological therapy in a self-guided online format is low rates of adherence. The aim of this systematic review was to assess both quantitative and qualitative data on the predictors of adherence, as well as participant reported reasons for adhering or not adhering to online psychological interventions. Database searches of PsycINFO, Medline, and CINAHL identified 1721 potentially relevant articles published between 1 January 2000 and 25 November 2015. A further 34 potentially relevant articles were retrieved from reference lists. Articles that reported predictors of, or reasons for, adherence to an online psychological intervention were included. A total of 36 studies met the inclusion criteria. Predictors assessed included demographic, psychological, characteristics of presenting problem, and intervention/computer-related predictors. Evidence suggested that female gender, higher treatment expectancy, sufficient time, and personalized intervention content each predicted higher adherence. Age, baseline symptom severity, and control group allocation had mixed findings. The majority of assessed variables however, did not predict adherence. Few clear predictors of adherence emerged overall, and most results were either mixed or too preliminary to draw conclusions. More research of predictors associated with adherence to online interventions is warranted.

Molecular and Clinical Predictors of Aggressive Prostate Cancer

DTIC Science & Technology

2007-09-01

AD_________________ Award Number: W81XWH-05-1-0562 TITLE: Molecular and Clinical Predictors of...DATES COVERED (From - To) 1 SEP 2006 - 31 AUG 2007 4. TITLE AND SUBTITLE 5a. CONTRACT NUMBER Molecular And Clinical Predictors Of Aggressive...course. We are evaluating molecular and clinical predictors at diagnosis to distinguish lethal and indolent prostate cancer. In a related project, we

Predictors of nurse manager stress: a dominance analysis of potential work environment stressors.

PubMed

Kath, Lisa M; Stichler, Jaynelle F; Ehrhart, Mark G; Sievers, Andree

2013-11-01

Nurse managers have important but stressful jobs. Clinical or bedside nurse predictors of stress have been studied more frequently, but less has been done on work environment predictors for those in this first-line leadership role. Understanding the relative importance of those work environment predictors could be used to help identify the most fruitful areas for intervention, potentially improving recruitment and retention for nurse managers. Using Role Stress Theory and the Job Demands-Resources Theory, a model was tested examining the relative importance of five potential predictors of nurse manager stress (i.e., stressors). The work environment stressors included role ambiguity, role overload, role conflict, organizational constraints, and interpersonal conflict. A quantitative, cross-sectional survey study was conducted with a convenience sample of 36 hospitals in the Southwestern United States. All nurse managers working in these 36 hospitals were invited to participate. Of the 636 nurse managers invited, 480 responded, for a response rate of 75.5%. Questionnaires were distributed during nursing leadership meetings and were returned in person (in sealed envelopes) or by mail. Because work environment stressors were correlated, dominance analysis was conducted to examine which stressors were the most important predictors of nurse manager stress. Role overload was the most important predictor of stress, with an average of 13% increase in variance explained. The second- and third-most important predictors were organizational constraints and role conflict, with an average of 7% and 6% increase in variance explained, respectively. Because other research has shown deleterious effects of nurse manager stress, organizational leaders are encouraged to help nurse managers reduce their actual and/or perceived role overload and organizational constraints. Copyright © 2013 Elsevier Ltd. All rights reserved.

Evaluation of Muscle Damage Marker after Mixed Martial Arts Matches

PubMed Central

Wiechmann, Gerald Julius; Saygili, Erol; Zilkens, Christoph; Krauspe, Rüdiger; Behringer, Michael

2016-01-01

The aim of this paper is to identify predictors of serum muscle damage marker (MDM) response following mixed martial arts (MMA) matches. Creatine kinase activity (CK) and myoglobin concentration (Mb) were measured in ten male elite MMA fighters (aged 28±5.7 years) prior to, 2 h, 24 h, and 96 h following 9 different MMA matches. The number of performed upright punches and kicks (UKF) that failed the opponent, the number of obtained hits to the upper and lower body (LBH), as well as the total fight duration (TFD) were evaluated as potential predictors from video recordings. CK peaked 24 h (829±753 U/L-1) and Mb peaked 2 h (210±122 µg/L-1) post matches. Almost 80% of the peak CK variance could be explained by LBH and UKF, whereas 87% of the Mb variation was explained by TFD and LBH. MMA result in a significant skeletal muscle damage, which largely depends on LBH. Furthermore, eccentric contractions to decelerate kicks that missed the opponent and the TFD seem to contribute to the MDM response. PMID:27114809

Evaluation of Muscle Damage Marker after Mixed Martial Arts Matches.

PubMed

Wiechmann, Gerald Julius; Saygili, Erol; Zilkens, Christoph; Krauspe, Rüdiger; Behringer, Michael

2016-03-21

The aim of this paper is to identify predictors of serum muscle damage marker (MDM) response following mixed martial arts (MMA) matches. Creatine kinase activity (CK) and myoglobin concentration (Mb) were measured in ten male elite MMA fighters (aged 28±5.7 years) prior to, 2 h, 24 h, and 96 h following 9 different MMA matches. The number of performed upright punches and kicks (UKF) that failed the opponent, the number of obtained hits to the upper and lower body (LBH), as well as the total fight duration (TFD) were evaluated as potential predictors from video recordings. CK peaked 24 h (829±753 U/L(-1)) and Mb peaked 2 h (210±122 µg/L(-1)) post matches. Almost 80% of the peak CK variance could be explained by LBH and UKF, whereas 87% of the Mb variation was explained by TFD and LBH. MMA result in a significant skeletal muscle damage, which largely depends on LBH. Furthermore, eccentric contractions to decelerate kicks that missed the opponent and the TFD seem to contribute to the MDM response.

Biomarker responses and contamination levels in crabs (Carcinus aestuarii) from the Lagoon of Venice: An integrated approach in biomonitoring estuarine environments.

PubMed

Ricciardi, Francesco; Matozzo, Valerio; Binelli, Andrea; Marin, Maria Gabriella

2010-03-01

An integrated biological-chemical approach is necessary to evaluate correctly the environmental status of bodies of water, as suggested by the EU Water Framework Directive. The shore crab Carcinus aestuarii, sampled in the Lagoon of Venice (NE Italy), was used as a biomonitor species, and the chemical concentrations of 42 organic pollutants (HCHs, PAHs, PCBs, DDTs, PBDEs), biological responses related to neurotoxicity (AChE inhibition), detoxification mechanisms (CYP450 induction) and endocrine alterations (vitellogenin-like protein induction) were measured at the same time. The responsiveness of biomarkers as predictors (or descriptors) of chemical contamination was evaluated by multivariate regression analysis, revealing good predictor potential for the selected biomarkers. Biomonitoring in the Lagoon of Venice revealed a predominance of DDT and PCB compounds, especially near industrial sites or large cities. Endocrine alterations, not always correlated with the presence of measured compounds, were also detected in many areas, suggesting exposure to compounds able to interfere with the crab endocrine system. Copyright 2009 Elsevier Ltd. All rights reserved.

Tumor-stroma ratio(TSR) as a potential novel predictor of prognosis in digestive system cancers: A meta-analysis.

PubMed

Zhang, Runjin; Song, Wei; Wang, Kai; Zou, Shubing

2017-09-01

The tumor-stroma ratio (TSR) has been reported as a prognosis predictor in multiple cancers. The aim of this meta-analysis was to investigate the potential value of TSR as a prognostic predictor of cancer in the digestive system. We searched PubMed, Embase, Elsevier and Web of Science. All studies exploring the association of TSR with overall survival (OS) or disease-free survival (DFS), and lymph node metastasis (LNM) were identified. In total, eight studies were eligible for analysis, and they included 1959 patients. Meta-analysis showed that the low TSR in the tumor could predict poor overall survival (OS) in multiple cancers (pooled Hazard Ratio [HR]: 2.15, 95%CI: 1.80-2.57, P<0.00001, fixed effects). For disease-free survival (DFS), low TSR was also a significant predictor (pooled Hazard Ratio [HR]: 2.31, 95%CI: 1.88-2.83, P<0.00001, fixed effects). In addition, low TSR was correlated with tumor stage. The tumor-stroma ratio (TSR) may potentially serve as a poor prognostic predictor for the metastasis and prognosis of cancer. Copyright © 2017. Published by Elsevier B.V.

Changes in Situational and Dispositional Factors as Predictors of Job Satisfaction

ERIC Educational Resources Information Center

Keller, Anita C.; Semmer, Norbert K.

2013-01-01

Arguably, job satisfaction is one of the most important variables with regard to work. When explaining job satisfaction, research usually focuses on predictor variables in terms of levels but neglects growth rates. Therefore it remains unclear how potential predictors evolve over time and how their development affects job satisfaction. Using…

Measuring Teacher Quality: Continuing the Search for Policy-Relevant Predictors of Student Achievement

ERIC Educational Resources Information Center

Knoeppel, Robert C.; Logan, Joyce P.; Keiser, Clare M.

2005-01-01

The purpose of this study was to investigate the potential viability of the variable certification by the National Board for Professional Teaching Standards (NBPTS) as a policy-relevant predictor of student achievement. Because research has identified the teacher as the most important school-related predictor of student achievement, more research…

Potential predictors of susceptibility to occupational stress in Japanese novice nurses - a pilot study.

PubMed

Okita, Shinobu; Daitoku, Satoshi; Abe, Masaharu; Arimura, Emi; Setoyama, Hitoshi; Koriyama, Chihaya; Ushikai, Miharu; Kawaguchi, Hiroaki; Horiuchi, Masahisa

2017-04-04

Occupational stress is a known factor behind employee resignations; thus, early identification of individuals prone to such stress is important. Accordingly, in this pilot study we evaluated potential predictors of susceptibility to occupational stress in Japanese novice nurses. Forty-two female novice nurses at Kagoshima University Hospital were recruited for the study population. Each underwent physical health and urinary examinations, and completed a lifestyle questionnaire at the time of job entry. Each also completed a Brief Job Stress Questionnaire (BJSQ), related to mental health status, at job entry and 5 months post-entry. Psychological stress, somatic symptoms, and combined BJSQ scores were determined for each time point. All three stress condition scores had significantly decreased at 5 months post-entry, suggesting occupational stress. Systolic blood pressure (r = -0.324, p < 0.05) and urinary sodium (r = -0.313, p < 0.05) were significantly negatively correlated with combined BJSQ score at 5 months post-entry. Post-entry stress condition scores were significantly low in subjects reporting substantial 1-year body weight change (≤ ± 3 kg) and short times between dinner and bedtimes (≤2 h), though baseline stress condition scores were not. Urinary sodium concentration, 1-year body weight change, and pre-sleep evening meals were then targeted for multivariate analysis, and confirmed as independent explanatory variables for post-entry stress condition scores. One-year body weight change, times between dinner and bedtimes, and urinary sodium concentration are promising potential predictors of susceptibility to occupational stress, and should be further investigated in future research. ISRCTN ISRCTN17516023. Retrospectively registered 7 December 2016.

Empirical Evaluation of Hunk Metrics as Bug Predictors

NASA Astrophysics Data System (ADS)

Ferzund, Javed; Ahsan, Syed Nadeem; Wotawa, Franz

Reducing the number of bugs is a crucial issue during software development and maintenance. Software process and product metrics are good indicators of software complexity. These metrics have been used to build bug predictor models to help developers maintain the quality of software. In this paper we empirically evaluate the use of hunk metrics as predictor of bugs. We present a technique for bug prediction that works at smallest units of code change called hunks. We build bug prediction models using random forests, which is an efficient machine learning classifier. Hunk metrics are used to train the classifier and each hunk metric is evaluated for its bug prediction capabilities. Our classifier can classify individual hunks as buggy or bug-free with 86 % accuracy, 83 % buggy hunk precision and 77% buggy hunk recall. We find that history based and change level hunk metrics are better predictors of bugs than code level hunk metrics.

Burnout Evaluation and Potential Predictors in a Greek Cohort of Mental Health Nurses.

PubMed

Konstantinou, Adamos-Konstantinos; Bonotis, Konstantinos; Sokratous, Maria; Siokas, Vasileios; Dardiotis, Efthimios

2018-06-01

Job burnout is one of the most serious occupational health hazards, especially, among mental health nurses. It has been attributed among others to staff shortages, health service changes, poor morale and insufficient employee participation in decision-making. The aim of this study was to measure burnout among mental health nurses, investigate relations between burnout and organizational factors and examine potential predictors of nurses' burnout. Specifically, this study aimed to investigate whether role conflict, role ambiguity, organizational commitment and subsequent job satisfaction could predict each of the three dimensions of burnout. During current cross sectional, the survey was administered to 232 mental health nurses, employed in four private psychiatric clinics in the region of Larissa, Thessaly, Greece in May 2015. Our findings were based on the responses to 78 usable questionnaires. Different statistical analyses, such as correlation analyses, regression analyses and analyses of variance were performed in order to explore possible relations. High emotional exhaustion (EE) accounted for 53.8% of the sample, while high depersonalization (DP) and high personal accomplishment (PA) accounted for 24.4% and 25.6%, respectively. The best predictors of burnout were found to be role conflict, satisfaction with workload, satisfaction with training, role ambiguity, satisfaction with pay and presence of serious family issues. These findings have implications for organizational and individual interventions, indicating that mental health nurses' burnout could be reduced, or even prevented by team building strategies, training, application of operation management, clear instructions and psychological support. Copyright © 2018 Elsevier Inc. All rights reserved.

A serotonin transporter gene polymorphism predicts peripartum depressive symptoms in an at-risk psychiatric cohort.

PubMed

Binder, Elisabeth B; Newport, D Jeffrey; Zach, Elizabeth B; Smith, Alicia K; Deveau, Todd C; Altshuler, Lori L; Cohen, Lee S; Stowe, Zachary N; Cubells, Joseph F

2010-07-01

Peripartum major depressive disorder (MDD) is a prevalent psychiatric disorder with potential detrimental consequences for both mother and child. Despite its enormous health care relevance, data regarding genetic predictors of peripartum depression are sparse. The aim of this study was to investigate associations of the serotonin-transporter linked polymorphic region (5-HTTLPR) genotype with peripartum MDD in an at-risk population. Two hundred and seventy four women with a prior history of MDD were genotyped for 5-HTTLPR and serially evaluated in late pregnancy (gestational weeks 31-40), early post-partum (week 1-8) and late post-partum (week 9-24) for diagnosis of a current major depressive episode (MDE) and depressive symptom severity. 5-HTTLPR S-allele carrier status predicted the occurrence of a MDE in the early post-partum period only (OR=5.13, p=0.017). This association persisted despite continued antidepressant treatment. The 5-HTTLPR genotype may be a clinically relevant predictor of early post-partum depression in an at-risk population. Peripartum major depressive disorder is a prevalent psychiatric disorder with potential detrimental consequences for both mother and child. Despite its enormous health care relevance, data regarding genetic predictors of peripartum depression are sparse. The aim of this study was to investigate associations of the serotonin-transporter linked polymorphic region (5-HTTLPR) genotype with peripartum MDD in an at-risk population. Copyright 2009 Elsevier Ltd. All rights reserved.

Goal Setting in Principal Evaluation: Goal Quality and Predictors of Achievement

ERIC Educational Resources Information Center

Sinnema, Claire E. L.; Robinson, Viviane M. J.

2012-01-01

This article draws on goal-setting theory to investigate the goals set by experienced principals during their performance evaluations. While most goals were about teaching and learning, they tended to be vaguely expressed and only partially achieved. Five predictors (commitment, challenge, learning, effort, and support) explained a significant…

Predictors of maternal responsiveness.

PubMed

Drake, Emily E; Humenick, Sharron S; Amankwaa, Linda; Younger, Janet; Roux, Gayle

2007-01-01

To explore maternal responsiveness in the first 2 to 4 months after delivery and to evaluate potential predictors of maternal responsiveness, including infant feeding, maternal characteristics, and demographic factors such as age, socioeconomic status, and educational level. A cross-sectional survey design was used to assess the variables of maternal responsiveness, feeding patterns, and maternal characteristics in a convenience sample of 177 mothers in the first 2 to 4 months after delivery. The 60-item self-report instrument included scales to measure maternal responsiveness, self-esteem, and satisfaction with life as well as infant feeding questions and sociodemographic items. An online data-collection strategy was used, resulting in participants from 41 U.S. states. Multiple regression analysis showed that satisfaction with life, self-esteem, and number of children, but not breastfeeding, explained a significant portion of the variance in self-reported maternal responsiveness scores. In this analysis, sociodemographic variables such as age, education, income, and work status showed little or no relationship to maternal responsiveness scores. This study provides additional information about patterns of maternal behavior in the transition to motherhood and some of the variables that influence that transition. Satisfaction with life was a new predictor of maternal responsiveness. However, with only 15% of the variance explained by the predictors in this study, a large portion of the variance in maternal responsiveness remains unexplained. Further research in this area is needed.

Predictors and Moderators of Treatment Outcome in the Pediatric Obsessive Compulsive Treatment Study (POTS I)

ERIC Educational Resources Information Center

Garcia, Abbe Marrs; Sapyta, Jeffrey J.; Moore, Phoebe S.; Freeman, Jennifer B.; Franklin, Martin E.; March, John S.; Foa, Edna B.

2010-01-01

Objective: To identify predictors and moderators of outcome in the first Pediatric OCD Treatment Study (POTS I) among youth (N = 112) randomly assigned to sertraline, cognitive behavioral therapy (CBT), both sertraline and CBT (COMB), or a pill placebo. Method: Potential baseline predictors and moderators were identified by literature review. The…

Effect of a Predictor Instrument on Learning to Land a Simulated Jet Trainer. Final Report.

ERIC Educational Resources Information Center

Smith, Russell L.; And Others

The study investigates the potential utility of a predictor instrument in the training of manual control operators in aircraft simulators. Various predictor display design configurations were presented to subjects during training trials on an aircraft approach to landing task. Subsequently, subjects were tested on trials devoid of the predictor…

Prefrontal Reactivity to Social Signals of Threat as a Predictor of Treatment Response in Anxious Youth

PubMed Central

Kujawa, Autumn; Swain, James E; Hanna, Gregory L; Koschmann, Elizabeth; Simpson, David; Connolly, Sucheta; Fitzgerald, Kate D; Monk, Christopher S; Phan, K Luan

2016-01-01

Neuroimaging has shown promise as a tool to predict likelihood of treatment response in adult anxiety disorders, with potential implications for clinical decision-making. Despite the relatively high prevalence and emergence of anxiety disorders in youth, very little work has evaluated neural predictors of response to treatment. The goal of the current study was to examine brain function during emotional face processing as a predictor of response to treatment in children and adolescents (age 7–19 years; N=41) with generalized, social, and/or separation anxiety disorder. Prior to beginning treatment with the selective serotonin reuptake inhibitor (SSRI) sertraline or cognitive behavior therapy (CBT), participants completed an emotional faces matching task during functional magnetic resonance imaging (fMRI). Whole brain responses to threatening (ie, angry and fearful) and happy faces were examined as predictors of change in anxiety severity following treatment. Greater activation in inferior and superior frontal gyri, including dorsolateral prefrontal cortex and ventrolateral prefrontal cortex, as well as precentral/postcentral gyri during processing of threatening faces predicted greater response to CBT and SSRI treatment. For processing of happy faces, activation in postcentral gyrus was a significant predictor of treatment response. Post-hoc analyses indicated that effects were not significantly moderated by type of treatment. Findings suggest that greater activation in prefrontal regions involved in appraising and regulating responses to social signals of threat predict better response to SSRI and CBT treatment in anxious youth and that neuroimaging may be a useful tool for predicting how youth will respond to treatment. PMID:26708107

Predicting long-term citation impact of articles in social and personality psychology.

PubMed

Haslam, Nick; Koval, Peter

2010-06-01

The citation impact of a comprehensive sample of articles published in social and personality psychology journals in 1998 was evaluated. Potential predictors of the 10-yr. citation impact of 1580 articles from 37 journals were investigated, including number of authors, number of references, journal impact factor, author nationality, and article length, using linear regression. The impact factor of the journal in which articles appeared was the primary predictor of the citations that they accrued, accounting for 30% of the total variance. Articles with greater length, more references, and more authors were cited relatively often, although the citation advantage of longer articles was not proportionate to their length. A citation advantage was also enjoyed by authors from the United States of America, Canada, and the United Kingdom. 37% of the variance in the total number of citations was accounted for by the study variables.

The potential impact of multidimesional geriatric assessment in the social security system.

PubMed

Corbi, Graziamaria; Ambrosino, Immacolata; Massari, Marco; De Lucia, Onofrio; Simplicio, Sirio; Dragone, Michele; Paolisso, Giuseppe; Piccioni, Massimo; Ferrara, Nicola; Campobasso, Carlo Pietro

2018-01-12

To evaluate the efficacy of multidimensional geriatric assessment (MGA/CGA) in patients over 65 years old in predicting the release of the accompaniment allowance (AA) indemnity by a Local Medico-Legal Committee (MLC-NHS) and by the National Institute of Social Security Committee (MLC-INPS). In a longitudinal observational study, 200 Italian elder citizens requesting AA were first evaluated by MLC-NHS and later by MLC-INPS. Only MLC-INPS performed a MGA/CGA (including SPMSQ, Barthel Index, GDS-SF, and CIRS). This report was written according to the STROBE guidelines. The data analysis was performed on January 2016. The evaluation by the MLC-NHS and by the MLC-INPS was in agreement in 66% of cases. In the 28%, the AA benefit was recognized by the MLC-NHS, but not by the MLC-INPS. By the multivariate analysis, the best predictors of the AA release, by the MLC-NHS, were represented by gender and the Barthel Index score. The presence of carcinoma, the Barthel Index score, and the SPMQ score were the best predictors for the AA release by MLC-INPS. MGA/CGA could be useful in saving financial resources reducing the risk of incorrect indemnity release. It can improve the accuracy of the impairment assessment in social security system.

In vitro transcriptomic prediction of hepatotoxicity for early drug discovery

PubMed Central

Cheng, Feng; Theodorescu, Dan; Schulman, Ira G.; Lee, Jae K.

2012-01-01

Liver toxicity (hepatotoxicity) is a critical issue in drug discovery and development. Standard preclinical evaluation of drug hepatotoxicity is generally performed using in vivo animal systems. However, only a small number of preselected compounds can be examined in vivo due to high experimental costs. A more efficient yet accurate screening technique which can identify potentially hepatotoxic compounds in the early stages of drug development would thus be valuable. Here, we develop and apply a novel genomic prediction technique for screening hepatotoxic compounds based on in vitro human liver cell tests. Using a training set of in vivo rodent experiments for drug hepatotoxicity evaluation, we discovered common biomarkers of drug-induced liver toxicity among six heterogeneous compounds. This gene set was further triaged to a subset of 32 genes that can be used as a multi-gene expression signature to predict hepatotoxicity. This multi-gene predictor was independently validated and showed consistently high prediction performance on five test sets of in vitro human liver cell and in vivo animal toxicity experiments. The predictor also demonstrated utility in evaluating different degrees of toxicity in response to drug concentrations which may be useful not only for discerning a compound’s general hepatotoxicity but also for determining its toxic concentration. PMID:21884709

Evaluation of functional outcomes of physical rehabilitation and medical complications in spinal cord injury victims of the Sichuan earthquake.

PubMed

Li, Yongqiang; Reinhardt, Jan D; Gosney, James E; Zhang, Xia; Hu, Xiaorong; Chen, Sijing; Ding, Mingpu; Li, Jianan

2012-06-01

To characterize a spinal cord injury (SCI) population from the 2008 Sichuan earthquake in China; to evaluate functional outcomes of physical rehabilitation interventions; to assess potential determinants of rehabilitation effectiveness; and to assess medical complications and management outcomes. A total of 51 earthquake victims with SCI were enrolled and underwent rehabilitation programming. Functional rehabilitation outcomes included ambulation ability, wheelchair mobility and activities of daily living (ADL) assessed with the Modified Barthel Index at the beginning and end of rehabilitation. Effectiveness of rehabilitation and the effect of other predictors were evaluated by mixed effects regression. Outcomes of medical complication management were determined by comparison of the incidence of respective complications at the beginning and end of rehabilitation. Ambulation, wheelchair mobility and ADL were significantly improved with rehabilitation programming. Both earlier rescue and earlier onset of rehabilitation were significant positive predictors of rehabilitation effectiveness, whereas delayed onset of rehabilitation combined with prolonged time to rescue resulted in a lesser positive effect. Medical complications were managed effectively in 63% (pressure ulcers) to 85% (deep vein thrombosis) of patients during rehabilitation. Earthquake victims with SCI may achieve significantly improved functional rehabilitation functional outcomes on a formal, institutional-based physical rehabilitation programme.

Employment Outcomes after Critical Illness: An Analysis of the BRAIN-ICU Cohort

PubMed Central

Norman, Brett C.; Jackson, James C.; Graves, John A.; Girard, Timothy D.; Pandharipande, Pratik P.; Brummel, Nathan E.; Wang, Li; Thompson, Jennifer L.; Chandrasekhar, Rameela; Ely, E. Wesley

2016-01-01

Objective To characterize survivors’ employment status after critical illness and to determine if duration of delirium during hospitalization and residual cognitive function are each independently associated with decreased employment. Design Prospective cohort investigation with baseline and in-hospital clinical data and follow up at 3 and 12 months. Setting Medical and surgical intensive care units (ICUs) at two tertiary-care hospitals. Patients Previously employed patients from the BRAIN-ICU study who survived a critical illness due to respiratory failure or shock and were evaluated for global cognition and employment status at 3- and 12-month follow-up. Measurements We used multivariable logistic regression to evaluate independent associations between employment at both 3 and 12 months and global cognitive function at the same time point, and delirium during the hospital stay. Main Results At 3-month follow-up, 113 of the total survival cohort of 448 (25%) were identified as being employed at study enrollment. Of these, 94 survived to 12-month follow-up. At 3 and 12months follow-up, 62% and 49% had a decrease in employment, 57% and 49% of whom, respectively, were newly unemployed. After adjustment for physical health status, depressive symptoms, marital status, level of education, and severity of illness, we did not find significant predictors of employment status at 3 months, but better cognition at 12 months was marginally associated with lower odds of employment reduction at 12 months, OR 0.49, p=0.07). Conclusions Reduction in employment after critical illness was present in the majority of our ICU surivors, approximately half of which was new unemployment. In this potentially underpowered pilot study, delirium at either 3 or 12 months was not a predictor yet cognitive function at 12 months was a predictor of subsequent employment status. Further research is needed into the potential relationship between the impact of critical illness on cognitive function and employment status. PMID:27171492

Scoliosis related information on the internet in China: can patients benefit from this information?

PubMed

Bao, Hongda; Zhu, Feng; Wang, Fei; Liu, Zhen; Bao, Mike H; He, Shouyu; Zhu, Zezhang; Qiu, Yong

2015-01-01

There has been an increasing popularity of searching health related information online in recent years. Despite that considerable amount of scoliosis patients have shown interest in obtaining scoliosis information through Internet, previous studies have demonstrated poor quality of online information. However, this conclusion may vary depending on region and culture. Since China has a restricted Internet access outside of its borders, the aim of this study is to evaluate the quality of scoliosis information available online using recognized scoring systems and to analyze the Internet as a source of health information in China. A survey-based questionnaire was distributed to 280 respondents at outpatient clinics. Information on demographics and Internet use was collected. Binary logistic analysis was performed to identify possible predictors for the use of Internet. In addition, the top 60 scoliosis related websites assessed through 4 search engines were reviewed by a surgeon and the quality of online information was evaluated using DISCERN score and JAMA benchmark. Use of the Internet as a source for scoliosis related information was confirmed in 87.8% of the respondents. College education, Internet access at home and urban residence were identified as potential predictors for Internet use. However, the quality of online scoliosis related information was poor with an average DISCERN score of 27.9±11.7 and may be misleading for scoliosis patients. The study outlines the profile of scoliosis patients who use the Internet as a source of health information. It was shown that 87.8% of the scoliosis patients in outpatient clinics have searched for scoliosis related information on Internet. Urban patients, higher education and Internet access at home were identified as potential predictors for Internet search. However, the overall quality of online scoliosis related information was poor and confusing. Physician based websites seemed to contain more reliable information.

Evaluation of Shape and Textural Features from CT as Prognostic Biomarkers in Non-small Cell Lung Cancer.

PubMed

Bianconi, Francesco; Fravolini, Mario Luca; Bello-Cerezo, Raquel; Minestrini, Matteo; Scialpi, Michele; Palumbo, Barbara

2018-04-01

We retrospectively investigated the prognostic potential (correlation with overall survival) of 9 shape and 21 textural features from non-contrast-enhanced computed tomography (CT) in patients with non-small-cell lung cancer. We considered a public dataset of 203 individuals with inoperable, histologically- or cytologically-confirmed NSCLC. Three-dimensional shape and textural features from CT were computed using proprietary code and their prognostic potential evaluated through four different statistical protocols. Volume and grey-level run length matrix (GLRLM) run length non-uniformity were the only two features to pass all four protocols. Both features correlated negatively with overall survival. The results also showed a strong dependence on the evaluation protocol used. Tumour volume and GLRLM run-length non-uniformity from CT were the best predictor of survival in patients with non-small-cell lung cancer. We did not find enough evidence to claim a relationship with survival for the other features. Copyright© 2018, International Institute of Anticancer Research (Dr. George J. Delinasios), All rights reserved.

A systematic review of preoperative predictors for postoperative clinical outcomes following lumbar discectomy.

PubMed

Wilson, Courtney A; Roffey, Darren M; Chow, Donald; Alkherayf, Fahad; Wai, Eugene K

2016-11-01

Sciatica is often caused by a herniated lumbar intervertebral disc. When conservative treatment fails, a lumbar discectomy can be performed. Surgical treatment via lumbar discectomy is not always successful and may depend on a variety of preoperative factors. It remains unclear which, if any, preoperative factors can predict postsurgical clinical outcomes. This review aimed to determine preoperative predictors that are associated with postsurgical clinical outcomes in patients undergoing lumbar discectomy. This is a systematic review. This systematic review of the scientific literature followed the Preferred Reporting Items for Systematic Review and Meta-Analysis guidelines. MEDLINE and PubMed were systematically searched through June 2014. Results were screened for relevance independently, and full-text studies were assessed for eligibility. Reporting quality was assessed using a modified Newcastle-Ottawa Scale. Quality of evidence was assessed using a modified version of Sackett's Criteria of Evidence Support. No financial support was provided for this study. No potential conflict of interest-associated biases were present from any of the authors. The search strategy yielded 1,147 studies, of which a total of 40 high-quality studies were included. There were 17 positive predictors, 20 negative predictors, 43 non-significant predictors, and 15 conflicting predictors determined. Preoperative predictors associated with positive postoperative outcomes included more severe leg pain, better mental health status, shorter duration of symptoms, and younger age. Preoperative predictors associated with negative postoperative outcomes included intact annulus fibrosus, longer duration of sick leave, worker's compensation, and greater severity of baseline symptoms. Several preoperative factors including motor deficit, side and level of herniation, presence of type 1 Modic changes and degeneration, age, and gender had non-significant associations with postoperative clinical outcomes. It may be possible for certain preoperative factors to be targeted for clinical evaluation by spine surgeons to assess the suitability of patients for lumbar discectomy surgery, the hope being to thereby improve postoperative clinical outcomes. Prospective cohort studies are required to increase the level of evidence with regard to significant predictive factors. Copyright © 2016 Elsevier Inc. All rights reserved.

Modeling Predictors of Duties Not Including Flying Status.

PubMed

Tvaryanas, Anthony P; Griffith, Converse

2018-01-01

The purpose of this study was to reuse available datasets to conduct an analysis of potential predictors of U.S. Air Force aircrew nonavailability in terms of being in "duties not to include flying" (DNIF) status. This study was a retrospective cohort analysis of U.S. Air Force aircrew on active duty during the period from 2003-2012. Predictor variables included age, Air Force Specialty Code (AFSC), clinic location, diagnosis, gender, pay grade, and service component. The response variable was DNIF duration. Nonparametric methods were used for the exploratory analysis and parametric methods were used for model building and statistical inference. Out of a set of 783 potential predictor variables, 339 variables were identified from the nonparametric exploratory analysis for inclusion in the parametric analysis. Of these, 54 variables had significant associations with DNIF duration in the final model fitted to the validation data set. The predicted results of this model for DNIF duration had a correlation of 0.45 with the actual number of DNIF days. Predictor variables included age, 6 AFSCs, 7 clinic locations, and 40 primary diagnosis categories. Specific demographic (i.e., age), occupational (i.e., AFSC), and health (i.e., clinic location and primary diagnosis category) DNIF drivers were identified. Subsequent research should focus on the application of primary, secondary, and tertiary prevention measures to ameliorate the potential impact of these DNIF drivers where possible.Tvaryanas AP, Griffith C Jr. Modeling predictors of duties not including flying status. Aerosp Med Hum Perform. 2018; 89(1):52-57.

Predicting the difficulty of pure, strict, epistatic models: metrics for simulated model selection.

PubMed

Urbanowicz, Ryan J; Kiralis, Jeff; Fisher, Jonathan M; Moore, Jason H

2012-09-26

Algorithms designed to detect complex genetic disease associations are initially evaluated using simulated datasets. Typical evaluations vary constraints that influence the correct detection of underlying models (i.e. number of loci, heritability, and minor allele frequency). Such studies neglect to account for model architecture (i.e. the unique specification and arrangement of penetrance values comprising the genetic model), which alone can influence the detectability of a model. In order to design a simulation study which efficiently takes architecture into account, a reliable metric is needed for model selection. We evaluate three metrics as predictors of relative model detection difficulty derived from previous works: (1) Penetrance table variance (PTV), (2) customized odds ratio (COR), and (3) our own Ease of Detection Measure (EDM), calculated from the penetrance values and respective genotype frequencies of each simulated genetic model. We evaluate the reliability of these metrics across three very different data search algorithms, each with the capacity to detect epistatic interactions. We find that a model's EDM and COR are each stronger predictors of model detection success than heritability. This study formally identifies and evaluates metrics which quantify model detection difficulty. We utilize these metrics to intelligently select models from a population of potential architectures. This allows for an improved simulation study design which accounts for differences in detection difficulty attributed to model architecture. We implement the calculation and utilization of EDM and COR into GAMETES, an algorithm which rapidly and precisely generates pure, strict, n-locus epistatic models.

Predicting Student Success in a Major's Introductory Biology Course via Logistic Regression Analysis of Scientific Reasoning Ability and Mathematics Scores

NASA Astrophysics Data System (ADS)

Thompson, E. David; Bowling, Bethany V.; Markle, Ross E.

2018-02-01

Studies over the last 30 years have considered various factors related to student success in introductory biology courses. While much of the available literature suggests that the best predictors of success in a college course are prior college grade point average (GPA) and class attendance, faculty often require a valuable predictor of success in those courses wherein the majority of students are in the first semester and have no previous record of college GPA or attendance. In this study, we evaluated the efficacy of the ACT Mathematics subject exam and Lawson's Classroom Test of Scientific Reasoning in predicting success in a major's introductory biology course. A logistic regression was utilized to determine the effectiveness of a combination of scientific reasoning (SR) scores and ACT math (ACT-M) scores to predict student success. In summary, we found that the model—with both SR and ACT-M as significant predictors—could be an effective predictor of student success and thus could potentially be useful in practical decision making for the course, such as directing students to support services at an early point in the semester.

Feature Screening in Ultrahigh Dimensional Cox's Model.

PubMed

Yang, Guangren; Yu, Ye; Li, Runze; Buu, Anne

Survival data with ultrahigh dimensional covariates such as genetic markers have been collected in medical studies and other fields. In this work, we propose a feature screening procedure for the Cox model with ultrahigh dimensional covariates. The proposed procedure is distinguished from the existing sure independence screening (SIS) procedures (Fan, Feng and Wu, 2010, Zhao and Li, 2012) in that the proposed procedure is based on joint likelihood of potential active predictors, and therefore is not a marginal screening procedure. The proposed procedure can effectively identify active predictors that are jointly dependent but marginally independent of the response without performing an iterative procedure. We develop a computationally effective algorithm to carry out the proposed procedure and establish the ascent property of the proposed algorithm. We further prove that the proposed procedure possesses the sure screening property. That is, with the probability tending to one, the selected variable set includes the actual active predictors. We conduct Monte Carlo simulation to evaluate the finite sample performance of the proposed procedure and further compare the proposed procedure and existing SIS procedures. The proposed methodology is also demonstrated through an empirical analysis of a real data example.

Predictors for good therapeutic outcome and drop-out in technology assisted guided self-help in the treatment of bulimia nervosa and bulimia like phenotype.

PubMed

Wagner, Gudrun; Penelo, Eva; Nobis, Gerald; Mayrhofer, Anna; Wanner, Christian; Schau, Johanna; Spitzer, Marion; Gwinner, Paulina; Trofaier, Marie-Louise; Imgart, Hartmut; Fernandez-Aranda, Fernando; Karwautz, Andreas

2015-03-01

Technology assisted guided self-help has been proven to be effective in the treatment of bulimia nervosa (BN). The aim of this study was to determine predictors of good long-term outcome as well as drop-out, in order to identify patients for whom these interventions are most suitable. One hundred and fifty six patients with BN were assigned to either 7 months internet-based guided self-help (INT-GSH) or to conventional guided bibliotherapy (BIB-GSH), both guided by e-mail support. Evaluations were taken at baseline, after 4, 7, and 18 months. As potential predictors, psychiatric comorbidity, personality features, and eating disorder psychopathology were considered. Higher motivation, lower frequency of binge eating, and lower body dissatisfaction at baseline predicted good outcome after the end of treatment. Lower frequency of binge eating predicted good outcome at long-term follow-up. Factors prediciting drop-out were higher depression and lower self-directedness at baseline. Technology assisted self-help can be recommended for patients with a high motivation to change, lower binge-eating frequency and lower depression scores. Copyright © 2014 John Wiley & Sons, Ltd and Eating Disorders Association.

Adverse fetal outcome in road accidents: Injury mechanism study and injury criteria development in a pregnant woman finite element model.

PubMed

Auriault, F; Thollon, L; Pérès, J; Behr, M

2016-12-01

This study documents the development of adverse fetal outcome predictors dedicated to the analysis of road accidents involving pregnant women. To do so, a pre-existing whole body finite element model representative of a 50th percentile 26 weeks pregnant woman was used. A total of 8 accident scenarios were simulated with the model positioned on a sled. Each of these scenarios was associated to a risk of adverse fetal outcome based on results from real car crash investigations involving pregnant women from the literature. The use of airbags and accidents involving unbelted occupants were not considered in this study. Several adverse fetal outcome potential predictors were then evaluated with regard to their correlation to this risk of fetal injuries. Three predictors appeared strongly correlated to the risk of adverse fetal outcome: (1) the intra uterine pressure at the placenta fetal side area (r=0.92), (2) the fetal head acceleration (HIC) (r=0.99) and (3) area of utero-placental interface over a strain threshold (r=0.90). Finally, sensitivity analysis against slight variations of the simulation parameters was performed and assess robustness of these criteria. Copyright © 2016 Elsevier Ltd. All rights reserved.

Biological and environmental determinants of 12-minute run performance in youth.

PubMed

Freitas, Duarte; Maia, José; Stasinopoulos, Mikis; Gouveia, Élvio Rúbio; Antunes, António M; Thomis, Martine; Lefevre, Johan; Claessens, Albrecht; Hedeker, Donald; Malina, Robert M

2017-11-01

The 12-minute run is a commonly used indicator of cardiorespiratory fitness in youth. Variation in growth and maturity status as potential correlates of test performance has not been systematically addressed. To evaluate biological and environmental determinants of 12-minute run performance in Portuguese youth aged 7-17 years. Mixed-longitudinal samples of 187 boys and 142 girls were surveyed in 1996, 1997 and 1998. The 12-minute run was the indicator of cardiorespiratory fitness. Height, body mass and five skinfolds were measured and skeletal maturity was assessed. Physical activity, socioeconomic status and area of residence were obtained with a questionnaire. Multi-level modelling was used for the analysis. Chronological age and sum of five skinfolds were significant predictors of 12-minute run performance. Older boys and girls ran longer distances than younger peers, while high levels of subcutaneous fat were associated with shorter running distances. Rural boys were more proficient in the 12-minute run than urban peers. Skeletal maturity, height, body mass index, physical activity and socioeconomic status were not significant predictors of 12-minute run performances. Age and sum of skinfolds in both sexes and rural residence in boys are significant predictors of 12-minute run performance in Portuguese youth.

Comparison of molecular breeding values based on within- and across-breed training in beef cattle

USDA-ARS?s Scientific Manuscript database

Background Although the efficacy of genomic predictors based on within-breed training looks promising, it is necessary to develop and evaluate across-breed predictors for the technology to be fully applied in the beef industry. The efficacies of genomic predictors trained in one breed and utilized ...

Predictors of Sleep Quantity and Quality in College Students

ERIC Educational Resources Information Center

Davidson, Eric S.

2012-01-01

Whereas sleep is often thought of as a common health issue among college students, few, if any, researchers have comprehensively evaluated correlates and predictors of sleep quality and quantity within this population. Most often, studies of this type are used by researchers to assess particular categories of correlates and predictors (e.g.,…

Determining Predictor Importance in Hierarchical Linear Models Using Dominance Analysis

ERIC Educational Resources Information Center

Luo, Wen; Azen, Razia

2013-01-01

Dominance analysis (DA) is a method used to evaluate the relative importance of predictors that was originally proposed for linear regression models. This article proposes an extension of DA that allows researchers to determine the relative importance of predictors in hierarchical linear models (HLM). Commonly used measures of model adequacy in…

Predictors of Parent-Teacher Agreement in Youth with Autism Spectrum Disorder and Their Typically Developing Siblings.

PubMed

Stratis, Elizabeth A; Lecavalier, Luc

2017-08-01

This study evaluated the magnitude of informant agreement and predictors of agreement on behavior and emotional problems and autism symptoms in 403 children with autism and their typically developing siblings. Parent-teacher agreement was investigated on the Child Behavior Checklist (CBCL) and Social Responsiveness Scale (SRS). Agreement between parents and teachers fell in the low to moderate range. Multiple demographic and clinical variables were considered as predictors, and only some measures of parent broad autism traits were associated with informant agreement. Parent report on the SRS was a positive predictor of agreement, while teacher report was a negative predictor. Parent report on the CBCL emerged as a positive predictor of agreement, while teacher report emerged as a negative predictor.

[Neuroimaging and Blood Biomarkers in Functional Prognosis after Stroke].

PubMed

Branco, João Paulo; Costa, Joana Santos; Sargento-Freitas, João; Oliveira, Sandra; Mendes, Bruno; Laíns, Jorge; Pinheiro, João

2016-11-01

Stroke remains one of the leading causes of morbidity and mortality around the world and it is associated with an important long-term functional disability. Some neuroimaging resources and certain peripheral blood or cerebrospinal fluid proteins can give important information about etiology, therapeutic approach, follow-up and functional prognosis in acute ischemic stroke patients. However, among the scientific community, there is currently more interest in the stroke vital prognosis over the functional prognosis. Predicting the functional prognosis during acute phase would allow more objective rehabilitation programs and better management of the available resources. The aim of this work is to review the potential role of acute phase neuroimaging and blood biomarkers as functional recovery predictors after ischemic stroke. Review of the literature published between 2005 and 2015, in English, using the terms "ischemic stroke", "neuroimaging" e "blood biomarkers". We included nine studies, based on abstract reading. Computerized tomography, transcranial doppler ultrasound and diffuse magnetic resonance imaging show potential predictive value, based on the blood flow study and the evaluation of stroke's volume and localization, especially when combined with the National Institutes of Health Stroke Scale. Several biomarkers have been studied as diagnostic, risk stratification and prognostic tools, namely the S100 calcium binding protein B, C-reactive protein, matrix metalloproteinases and cerebral natriuretic peptide. Although some biomarkers and neuroimaging techniques have potential predictive value, none of the studies were able to support its use, alone or in association, as a clinically useful functionality predictor model. All the evaluated markers were considered insufficient to predict functional prognosis at three months, when applied in the first hours after stroke. Additional studies are necessary to identify reliable predictive markers for functional prognosis after ischemic stroke.

[Homocysteine metabolism disorders as a potential predictor of preeclamsia].

PubMed

Kajdy, Anna; Niemiec, Tomasz

2008-11-01

Preeclampsia is one of the main causes of maternal and fetal mortality. We lack a reliable test that would identify the "at risk" group of pregnant women, thus allowing us to implement a specific prevention, management and treatment program. Recently, a number of theories regarding the pathophysiology of preeclampsia has been published. The role of vascular pathology as a result of an increase in homocysteine level is often mentioned. The aim of this paper is to review the current literature related to the pathology of preeclampsia and to evaluate the usefulness of assessment of homocysteine level and homocysteine metabolism disorders as a potential predictor of preeclamsia. Hiperhomocysteinemia is a known risk factor of cardiovascular diseases and hypertension. Different sources report a similar correlation between an increase in homocysteine level and the incidence of preeclampsia. As far as the topic of homocysteine in pregnancy is concerned, numerous questions and problems remain unanswered and unsolved. Although there exists a relationship between an increased values of homocysteine and the incidence of preeclampsia, there is not enough information about what group of patients should be included in the screening test to increase the rate of diagnosis and prevention of the most dangerous sequele.

Does the Beck Cognitive Insight Scale Predict Response to Cognitive Remediation in Schizophrenia?

PubMed

Benoit, Audrey; Harvey, Philippe-Olivier; Bherer, Louis; Lepage, Martin

2016-01-01

Cognitive remediation therapy (CRT) has emerged as a viable treatment option for people diagnosed with schizophrenia presenting disabling cognitive deficits. However, it is important to determine which variables can influence response to CRT in order to provide cost-effective treatment. This study's aim was to explore cognitive insight as a potential predictor of cognitive improvement after CRT. Twenty patients with schizophrenia completed a 24-session CRT program involving 18 hours of computer exercises and 6 hours of group discussion to encourage generalization of cognitive training to everyday activities. Pre- and posttest assessments included the CogState Research Battery and the Beck Cognitive Insight Scale (BCIS). Lower self-certainty on the BCIS at baseline was associated with greater improvement in speed of processing (r s = -0.48; p < 0.05) and visual memory (r s = -0.46; p < 0.05). The results of this study point out potential associations between self-certainty and cognitive improvement after CRT, a variable that can easily be measured in clinical settings to help evaluate which patients may benefit most from the intervention. They also underline the need to keep investigating the predictors of good CRT outcomes, which can vary widely between patients.

Changes in and predictors of pain characteristics in patients with head and neck cancer undergoing radiotherapy.

PubMed

Astrup, Guro Lindviksmoen; Rustøen, Tone; Miaskowski, Christine; Paul, Steven M; Bjordal, Kristin

2015-05-01

Pain is a common symptom in patients with head and neck cancer (HNC) that is associated with significant decrements in physical and psychological functioning. Only 4 studies have evaluated for changes in and predictors of different pain characteristics in these patients. In this longitudinal study of patients with HNC, changes in pain intensity (i.e., average pain, worst pain), pain interference with function, and pain relief were evaluated from the initiation of radiotherapy and through the following 6 months. Hierarchical linear modeling was used to evaluate for changes over time in these 4 pain characteristics, as well as to identify predictors of interindividual variability in each characteristic. Overall, pain intensity and interference with function scores were in the mild-to-moderate range, while pain relief scores were in the moderate range. The occurrence of pain, as well as scores for each pain characteristic, increased from the initiation to the completion of radiotherapy, followed by a gradual decrease to near pretreatment levels at 6 months. However, interindividual variability existed in patients' ratings of each pain characteristic. Predictors of more severe pain characteristic scores were more comorbidities, worse physical functioning, not having surgery before radiotherapy, difficulty swallowing, mouth sores, sleep disturbance, fatigue, more energy, and less social support. Patients with more depressive symptoms had better pain relief. Although some of the predictors cannot be modified (e.g., rrence of surgery), other predictors (e.g., symptoms) can be treated. Therefore, information about these predictors may result in decreased pain in patients with HNC.

Evaluative Concerns and Personal Standards Perfectionism as Predictors of Body Dissatisfaction in Asian and European American Female College Students

ERIC Educational Resources Information Center

Chang, Edward C.; Yu, Tina; Chang, Olivia D.; Jilani, Zunaira

2016-01-01

Objectives: The present study examined perfectionism (viz, evaluative concerns and personal standards) and ethnicity as predictors of body dissatisfaction in female college students. Participants: Participants were 298 female college students sampled by December of 2013. Methods: A self-report survey with measures of body dissatisfaction,…

Cognitive and Behavioral Predictors of MMPI Scores in Pretrial Psychological Evaluations of Murderers.

ERIC Educational Resources Information Center

Holcomb, William R.; And Others

1984-01-01

Tested the validity of the Minnesota Multiphasic Personality Inventory (MMPI) with accused murderers (N=96) undergoing pre-trial evaluations. Results indicated four predictors of MMPI elevated scores: low intelligence, history of drug abuse, suspiciousness observed on the ward, and the fact that the accused was a stranger to the victim. (LLL)

The development of a Kalman filter clock predictor

NASA Technical Reports Server (NTRS)

Davis, John A.; Greenhall, Charles A.; Boudjemaa, Redoane

2005-01-01

A Kalman filter based clock predictor is developed, and its performance evaluated using both simulated and real data. The clock predictor is shown to possess a neat to optimal Prediction Error Variance (PEV) when the underlying noise consists of one of the power law noise processes commonly encountered in time and frequency measurements. The predictor's performance is the presence of multiple noise processes is also examined. The relationship between the PEV obtained in the presence of multiple noise processes and those obtained for the individual component noise processes is examined. Comparisons are made with a simple linear clock predictor. The clock predictor is used to predict future values of the time offset between pairs of NPL's active hydrogen masers.

A respiratory alert model for the Shenandoah Valley, Virginia, USA

NASA Astrophysics Data System (ADS)

Hondula, David M.; Davis, Robert E.; Knight, David B.; Sitka, Luke J.; Enfield, Kyle; Gawtry, Stephen B.; Stenger, Phillip J.; Deaton, Michael L.; Normile, Caroline P.; Lee, Temple R.

2013-01-01

Respiratory morbidity (particularly COPD and asthma) can be influenced by short-term weather fluctuations that affect air quality and lung function. We developed a model to evaluate meteorological conditions associated with respiratory hospital admissions in the Shenandoah Valley of Virginia, USA. We generated ensembles of classification trees based on six years of respiratory-related hospital admissions (64,620 cases) and a suite of 83 potential environmental predictor variables. As our goal was to identify short-term weather linkages to high admission periods, the dependent variable was formulated as a binary classification of five-day moving average respiratory admission departures from the seasonal mean value. Accounting for seasonality removed the long-term apparent inverse relationship between temperature and admissions. We generated eight total models specific to the northern and southern portions of the valley for each season. All eight models demonstrate predictive skill (mean odds ratio = 3.635) when evaluated using a randomization procedure. The predictor variables selected by the ensembling algorithm vary across models, and both meteorological and air quality variables are included. In general, the models indicate complex linkages between respiratory health and environmental conditions that may be difficult to identify using more traditional approaches.

Exaggerated Exercise Blood Pressure Response During Treadmill Testing as a Predictor of Future Hypertension in Men: A Longitudinal Study.

PubMed

Jae, Sae Young; Franklin, Barry A; Choo, Jina; Choi, Yoon-Ho; Fernhall, Bo

2015-11-01

The purpose of this study was to evaluate receiver operating characteristic curves to identify optimal cutoff values of exercise systolic blood pressure (SBP) using both peak SBP and relative SBP (peak SBP minus resting SBP) as predictors of future hypertension (HTN). Participants were 3,742 healthy normotensive men who underwent symptom-limited treadmill testing at baseline. Incident HTN was defined as SBP/diastolic blood pressure greater than 140/90 mm Hg and/or diagnosed HTN by a physician. During an average 5-year follow-up, 364 (9.7%) new cases of HTN were observed. The most discriminatory cutoff values for peak SBP and relative SBP for predicting incident HTN were 181 mm Hg (areas under the curve (AUC) = 0.644, sensitivity = 54%, and specificity = 69%) and 52 mm Hg (AUC = 0.549, sensitivity = 64.3%, and specificity = 44.6%), respectively. Participants with peak SBP greater than 181 mm Hg and relative SBP greater than 52 mm Hg had 1.54-fold (95% CI: 1.23-1.93) and 1.44-fold (95% CI: 1.16-1.80) risks of developing HTN after adjusting for potential confounding variables. When these 2 variables were entered simultaneously into the Cox proportional hazards regression model with adjustment for potential confounding variables, only peak SBP (relative risk: 1.39, 95% CI: 1.02-1.89) was a predictor of the development of HTN. The most accurate discriminators for peak and relative SBP during treadmill exercise testing to predict incident HTN were greater than 181 and 52 mm Hg, respectively, in normotensive men. A peak SBP greater than 181 mm Hg during treadmill exercise testing may provide a useful predictor for the development of HTN in clinical practice. © American Journal of Hypertension, Ltd 2015. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

Eosinophilic drug reactions detected by a prospective pharmacovigilance programme in a tertiary hospital

PubMed Central

Medrano‐Casique, Nicolás; Tong, Hoi Y.; Bellón, Teresa; Cabañas, Rosario; Fiandor, Ana; González‐Ramos, Jessica; Herranz, Pedro; Trigo, Elena; Muñoz, Mario; Borobia, Alberto M.; Carcas, Antonio J.

2016-01-01

Aim We conducted a prospective evaluation of all eosinophilic drug reactions (EDRs) through the Prospective Pharmacovigilance Program from Laboratory Signals at Hospital to find out the incidence and distribution of these entities in our hospital, their causative drugs, and predictors. Methods All peripheral eosinophilia >700 × 106 cells l−1 detected at admission or during hospitalisation, were prospectively monitored over 42 months. The spectrum of the localised or systemic manifestation of EDR, the incidence, the distribution of causative drugs, and the predictors were analysed. Results The incidence of EDR was 16.67 (95% Poisson confidence interval [CI]: 9.90–25.98) per 10 000 admissions. Of 274 cases of EDR, 154 (56.2%) cases in 148 patients were asymptomatic hypereosinophilia. In the remaining 120 (43.8%) cases, there was other involvement. Skin and soft tissue reactions were detected in 36 (13.1%) cases; visceral EDRs in 19(7.0%) cases; and drug‐induced eosinophilic cutaneous and visceral manifestations were detected in the remaining 65 (23.7%) cases, 64 of which were potential drug reaction with eosinophilia and systemic symptoms (DRESS). After adjusting for age, sex, and hospitalisation wards, predictors of symptomatic eosinophilia were earlier onset of eosinophilia (hazard ratio [HR], 10.49; 95%CI: 3.13–35.16) higher eosinophil count (HR, 8.51; 95%CI: 3.28–22.08), and a delayed onset of corticosteroids (HR, 1.34; 95%CI: 1.01–1.73). A higher eosinophil count in patients with DRESS was significantly associated with greater impairment of liver function, prolonged hospitalisation, higher cumulative doses of corticosteroids, and if hypogammaglobinaemia was detected, a reactivation of human‐herpesvirus 6 was subsequently detected. Conclusions Half (53.3%, 64/120 cases) of symptomatic EDRs were potential DRESS. The main predictor of severity of EDR was an early severe eosinophilia. PMID:27543764

SU-E-J-270: Repeated 18F-FDG PET/CTs Based Feature Analysis for the Predication of Anal Cancer Recurrence

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

Wang, J; Chuong, M; Choi, W

Purpose: To identify PET/CT based imaging predictors of anal cancer recurrence and evaluate baseline vs. mid-treatment vs. post-treatment PET/CT scans in the tumor recurrence prediction. Methods: FDG-PET/CT scans were obtained at baseline, during chemoradiotherapy (CRT, midtreatment), and after CRT (post-treatment) in 17 patients of anal cancer. Four patients had tumor recurrence. For each patient, the mid-treatment and post-treatment scans were respectively aligned to the baseline scan by a rigid registration followed by a deformable registration. PET/CT image features were computed within the manually delineated tumor volume of each scan to characterize the intensity histogram, spatial patterns (texture), and shape ofmore » the tumors, as well as the changes of these features resulting from CRT. A total of 335 image features were extracted. An Exact Logistic Regression model was employed to analyze these PET/CT image features in order to identify potential predictors for tumor recurrence. Results: Eleven potential predictors of cancer recurrence were identified with p < 0.10, including five shape features, five statistical texture features, and one CT intensity histogram feature. Six features were indentified from posttreatment scans, 3 from mid-treatment scans, and 2 from baseline scans. These features indicated that there were differences in shape, intensity, and spatial pattern between tumors with and without recurrence. Recurrent tumors tended to have more compact shape (higher roundness and lower elongation) and larger intensity difference between baseline and follow-up scans, compared to non-recurrent tumors. Conclusion: PET/CT based anal cancer recurrence predictors were identified. The post-CRT PET/CT is the most important scan for the prediction of cancer recurrence. The baseline and mid-CRT PET/CT also showed value in the prediction and would be more useful for the predication of tumor recurrence in early stage of CRT. This work was supported in part by the National Cancer Institute Grant R01CA172638.« less

International Study to Predict Optimized Treatment for Depression (iSPOT-D), a randomized clinical trial: rationale and protocol.

PubMed

Williams, Leanne M; Rush, A John; Koslow, Stephen H; Wisniewski, Stephen R; Cooper, Nicholas J; Nemeroff, Charles B; Schatzberg, Alan F; Gordon, Evian

2011-01-05

Clinically useful treatment moderators of Major Depressive Disorder (MDD) have not yet been identified, though some baseline predictors of treatment outcome have been proposed. The aim of iSPOT-D is to identify pretreatment measures that predict or moderate MDD treatment response or remission to escitalopram, sertraline or venlafaxine; and develop a model that incorporates multiple predictors and moderators. The International Study to Predict Optimized Treatment - in Depression (iSPOT-D) is a multi-centre, international, randomized, prospective, open-label trial. It is enrolling 2016 MDD outpatients (ages 18-65) from primary or specialty care practices (672 per treatment arm; 672 age-, sex- and education-matched healthy controls). Study-eligible patients are antidepressant medication (ADM) naïve or willing to undergo a one-week wash-out of any non-protocol ADM, and cannot have had an inadequate response to protocol ADM. Baseline assessments include symptoms; distress; daily function; cognitive performance; electroencephalogram and event-related potentials; heart rate and genetic measures. A subset of these baseline assessments are repeated after eight weeks of treatment. Outcomes include the 17-item Hamilton Rating Scale for Depression (primary) and self-reported depressive symptoms, social functioning, quality of life, emotional regulation, and side-effect burden (secondary). Participants may then enter a naturalistic telephone follow-up at weeks 12, 16, 24 and 52. The first half of the sample will be used to identify potential predictors and moderators, and the second half to replicate and confirm. First enrolment was in December 2008, and is ongoing. iSPOT-D evaluates clinical and biological predictors of treatment response in the largest known sample of MDD collected worldwide. International Study to Predict Optimised Treatment - in Depression (iSPOT-D) ClinicalTrials.gov Identifier: NCT00693849. URL: http://clinicaltrials.gov/ct2/show/NCT00693849?term=International+Study+to+Predict+Optimized+Treatment+for+Depression&rank=1

A Prospective Cohort Study of Absconsion Incidents in Forensic Psychiatric Settings: Can We Identify Those at High-Risk?

PubMed Central

Cullen, Alexis E.; Jewell, Amelia; Tully, John; Coghlan, Suzanne; Dean, Kimberlie; Fahy, Tom

2015-01-01

Background Incidents of absconsion in forensic psychiatric units can have potentially serious consequences, yet surprisingly little is known about the characteristics of patients who abscond from these settings. The few previous studies conducted to date have employed retrospective designs, and no attempt has been made to develop an empirically-derived risk assessment scale. In this prospective study, we aimed to identify predictors of absconsion over a two-year period and investigate the feasibility of developing a brief risk assessment scale. Methods The study examined a representative sample of 135 patients treated in forensic medium- and low-secure wards. At baseline, demographic, clinical, treatment-related, and offending/behavioural factors were ascertained from electronic medical records and the treating teams. Incidents of absconsion (i.e., failure to return from leave, incidents of escape, and absconding whilst on escorted leave) were assessed at a two-year follow-up. Logistic regression analyses were used to determine the strongest predictors of absconsion which were then weighted according to their ability to discriminate absconders and non-absconders. The predictive utility of a brief risk assessment scale based on these weighted items was evaluated using receiver operator characteristics (ROC). Results During the two-year follow-up period, 27 patients (20%) absconded, accounting for 56 separate incidents. In multivariate analyses, four factors relating to offending and behaviour emerged as the strongest predictors of absconsion: history of sexual offending, previous absconsion, recent inpatient verbal aggression, and recent inpatient substance use. The weighted risk scale derived from these factors had moderate-to-good predictive accuracy (ROC area under the curve: 0.80; sensitivity: 067; specificity: 0.71), a high negative predictive value (0.91), but a low positive predictive value (0.34). Conclusion Potentially-targetable recent behaviours, such as inpatient verbal aggression and substance use, are strong predictors of absconsion in forensic settings; the absence of these factors may enable clinical teams to identify unnecessarily restricted low-risk individuals. PMID:26401653

Using High Resolution Model Data to Improve Lightning Forecasts across Southern California

NASA Astrophysics Data System (ADS)

Capps, S. B.; Rolinski, T.

2014-12-01

Dry lightning often results in a significant amount of fire starts in areas where the vegetation is dry and continuous. Meteorologists from the USDA Forest Service Predictive Services' program in Riverside, California are tasked to provide southern and central California's fire agencies with fire potential outlooks. Logistic regression equations were developed by these meteorologists several years ago, which forecast probabilities of lightning as well as lightning amounts, out to seven days across southern California. These regression equations were developed using ten years of historical gridded data from the Global Forecast System (GFS) model on a coarse scale (0.5 degree resolution), correlated with historical lightning strike data. These equations do a reasonably good job of capturing a lightning episode (3-5 consecutive days or greater of lightning), but perform poorly regarding more detailed information such as exact location and amounts. It is postulated that the inadequacies in resolving the finer details of episodic lightning events is due to the coarse resolution of the GFS data, along with limited predictors. Stability parameters, such as the Lifted Index (LI), the Total Totals index (TT), Convective Available Potential Energy (CAPE), along with Precipitable Water (PW) are the only parameters being considered as predictors. It is hypothesized that the statistical forecasts will benefit from higher resolution data both in training and implementing the statistical model. We have dynamically downscaled NCEP FNL (Final) reanalysis data using the Weather Research and Forecasting model (WRF) to 3km spatial and hourly temporal resolution across a decade. This dataset will be used to evaluate the contribution to the success of the statistical model of additional predictors in higher vertical, spatial and temporal resolution. If successful, we will implement an operational dynamically downscaled GFS forecast product to generate predictors for the resulting statistical lightning model. This data will help fire agencies be better prepared to pre-deploy resources in advance of these events. Specific information regarding duration, amount, and location will be especially valuable.

Prediction of treatment outcomes to exercise in patients with nonremitted major depressive disorder.

PubMed

Rethorst, Chad D; South, Charles C; Rush, A John; Greer, Tracy L; Trivedi, Madhukar H

2017-12-01

Only one-third of patients with major depressive disorder (MDD) achieve remission with initial treatment. Consequently, current clinical practice relies on a "trial-and-error" approach to identify an effective treatment for each patient. The purpose of this report was to determine whether we could identify a set of clinical and biological parameters with potential clinical utility for prescription of exercise for treatment of MDD in a secondary analysis of the Treatment with Exercise Augmentation in Depression (TREAD) trial. Participants with nonremitted MDD were randomized to one of two exercise doses for 12 weeks. Participants were categorized as "remitters" (≤12 on the IDS-C), nonresponders (<30% drop in IDS-C), or neither. The least absolute shrinkage and selection operator (LASSO) and random forests were used to evaluate 30 variables as predictors of both remission and nonresponse. Predictors were used to model treatment outcomes using logistic regression. Of the 122 participants, 36 were categorized as remitters (29.5%), 56 as nonresponders (45.9%), and 30 as neither (24.6%). Predictors of remission were higher levels of brain-derived neurotrophic factor (BDNF) and IL-1B, greater depressive symptom severity, and higher postexercise positive affect. Predictors of treatment nonresponse were low cardiorespiratory fitness, lower levels of IL-6 and BDNF, and lower postexercise positive affect. Models including these predictors resulted in predictive values greater than 70% (true predicted remitters/all predicted remitters) with specificities greater than 25% (true predicted remitters/all remitters). Results indicate feasibility in identifying patients who will either remit or not respond to exercise as a treatment for MDD utilizing a clinical decision model that incorporates multiple patient characteristics. © 2017 Wiley Periodicals, Inc.

Do cell phones, iPods/MP3 players, siblings and friends matter? Predictors of child body mass in a U.S. Southern Border City Middle School.

PubMed

Ynalvez, Marcus Antonius; Ynalvez, Ruby; Torregosa, Marivic; Palacios, Horacio; Kilburn, John

2012-01-01

This study examines the association of children's (i) micro-social environment, specifically siblings [kin-friends] and friends from school and neighborhood [non-kin-friends], and (ii) ownership of information and communication technologies (ICT), specifically cell phones and iPod/MP3 players, with body mass index percentile (BMIp). Fifty-five randomly selected 6th graders with a mean age of 12 years, stratified by gender (23 boys and 32 girls), from a Texas middle school located in a city along the U.S. southern border. The linear regression of BMIp on number of siblings and of non-kin-friends, and ownership of cell phone and of iPod/MP3 player was examined using two models: M1 was based on the manual selection of predictors from a pool of potential predictors. M2 was derived from the predictors specified in M1 using backward elimination technique. Because sample size was small, the significance of regression coefficients was evaluated using robust standard errors to calculate t-values. Data for predictors were obtained through a survey. Height and weight were obtained through actual anthropometric measurements. BMIp was calculated using the on-line BMI calculator of the Center for Disease Control and Prevention. Findings reveal that children's social environment and ICT ownership predict BMIp; specifically, number of siblings (M2: β = -0.34, p-value < .001), and ownership of iPod/MP3 players (M2: β = 0.33, p-value < .001). These results underscore the importance of family in configuring, and of new personal technical devices (that encourage solitary, and oftentimes sedentary, activities) in predicting child body mass. © 2012 Asian Oceanian Association for the Study of Obesity . Published by Elsevier Ltd. All rights reserved.

Endotracheal intubation using the C-MAC® video laryngoscope or the Macintosh laryngoscope: A prospective, comparative study in the ICU

PubMed Central

2012-01-01

Introduction Endotracheal intubation in the ICU is a challenging procedure and is frequently associated with life-threatening complications. The aim of this study was to investigate the effect of the C-MAC® video laryngoscope on laryngeal view and intubation success compared with direct laryngoscopy. Methods In a single-center, prospective, comparative before-after study in an anesthetist-lead surgical ICU of a tertiary university hospital, predictors of potentially difficult tracheal intubation, number of intubation attempts, success rate and glottic view were evaluated during a 2-year study period (first year, Macintosh laryngoscopy (ML); second year, C-MAC®). Results A total of 274 critically ill patients requiring endotracheal intubation were included; 113 intubations using ML and 117 intubations using the C-MAC® were assessed. In patients with at least one predictor for difficult intubation, the C-MAC® resulted in more successful intubations on first attempt compared with ML (34/43, 79% vs. 21/38, 55%; P = 0.03). The visualization of the glottis with ML using Cormack and Lehane (C&L) grading was more frequently rated as difficult (20%, C&L grade 3 and 4) compared with the C-MAC® (7%, C&L grade 3 and 4) (P < 0.0001). Conclusion Use of the C-MAC® video laryngoscope improved laryngeal imaging and improved the intubating success rate on the first attempt in patients with predictors for difficult intubation in the ICU setting. Video laryngoscopy seems to be a useful tool in the ICU where potentially difficult endotracheal intubations regularly occur. PMID:22695007

Epizootic haemorrhagic disease in Italy: vector competence of indigenous Culicoides species and spatial multicriteria evaluation of vulnerability.

PubMed

Federici, Valentina; Ippoliti, Carla; Catalani, Monica; Di Provvido, Andrea; Santilli, Adriana; Quaglia, Michela; Mancini, Giuseppe; Di Nicola, Francesca; Di Gennaro, Annapia; Leone, Alessandra; Teodori, Liana; Conte, Annamaria; Savini, Giovanni

2016-09-30

Epizootic haemorrhagic disease (EHD) is an infectious non-contagious viral disease transmitted by Culicoides, which affects wild and domestic ruminants. The disease has never been reported in Europe, however recently outbreaks of EHD occurred in the Mediterranean Basin. Consequently, the risk that Epizootic haemorrhagic disease virus (EHDV) might spread in Italy cannot be ignored. The aim of this study was to evaluate the risk of EHDV transmission in Italy, in case of introduction, through indigenous potential vectors. In Italy, the most spread and abundant Culicoides species associated to livestock are Culicoides imicola and the members of the Obsoletus complex. Culicoides imicola is a competent vector of EHDV, whereas the vector status of the Obsoletus complex has not been assessed yet. Thus, its oral susceptibility to EHDV was here preliminary evaluated. To evaluate the risk of EHDV transmission a geographical information system-based Multi-Criteria Evaluation approach was adopted. Distribution of vector species and host density were used as predictors of potential suitable areas for EHDV transmission, in case of introduction in Italy. This study demonstrates that the whole peninsula is suitable for the disease, given the distribution and abundance of hosts and the competence of possible indigenous vectors.

Caregiving burden and its determinants in Polish caregivers of stroke survivors.

PubMed

Jaracz, Krystyna; Grabowska-Fudala, Barbara; Górna, Krystyna; Kozubski, Wojciech

2014-10-27

Despite the growing body of literature on the consequences of providing non-professional care to stroke survivors, the determinants of caregiving burden are still not fully recognized. Identification of significant determinants can facilitate caregiver intervention programs. The aim of this study was to evaluate the level of burden borne by caregivers of stroke patients and to identify the most important determinants of burden at 6 months after hospitalization. Data were collected from 150 pairs of stroke patients/caregivers. Caregiver burden was assessed on the Caregiver Burden scale (CB). Several characteristics were measured as potential predictors of the burden. Special attention was paid to the caregiver's sense of coherence (SOC) and anxiety. Regression analysis was employed to test the hypothesized relationships between these variables and the burden. Forty-seven percentage of the caregivers reported a substantial burden (severe or moderate). Caregiver SOC (p < 0.001), anxiety (p < 0.001) and the patients' functional status (p < 0.001) were the most important predictors of the overall burden and the most consistent predictors of the majority of aspects included in the CB scale. Caregiver health, patient's gender, time spent caregiving and social support were also factors related to the burden. The identified predictors explained 67% of the variance in the overall burden. Clinicians and other professionals should focus on the coping abilities of caregivers, their emotional state and the level of patients' dependency, as these are the vital and modifiable factors affecting caregiver burden following stroke.

Factors predicting rehabilitation outcomes of elderly patients with hip fracture.

PubMed

Chin, Raymond P H; Ng, Bobby H P; Cheung, Lydia P C

2008-06-01

To identify predictors of rehabilitation outcomes for the development of a case-mix system to rehabilitate patients suffering from hip fractures. Prospective cohort study. Two hospitals in Hong Kong. A cohort of hip fracture patients in 2005 (n=303) with a mean age of 82 years was studied. Rehabilitation outcomes were defined as: mortality, length of stay, placement, ambulation status, activity of daily living at the time of discharge and at 6-month follow-up. A comparison between groups and multivariate analysis was conducted to validate the best predictors. Potential predictors and rehabilitation outcomes. Two predictors, the Abbreviated Mental Test score of lower than 6 (odds ratio=0.19, P<0.05) and the Functional Independence Measures score of lower than 75 (odds ratio=38.0, P<0.05), at the time of admission to the rehabilitation setting were found to be related to outcomes. Our findings provided further support for a case-mix system based on these two factors, as they could correctly assign patients into three groups with different baseline characteristics and outcomes. A review of the possible limitations of the existing service with respect to each case-mix group was also conducted. A case-mix system utilising the cognition and activity of daily living function is recommended. Revisions of respective care plans are advocated with more realistic outcome expectations and specific actions for the respective case-mix groups. An evaluation study on the usefulness of this case-mix classification could then follow.

A prospective study of prolonged stay in the intensive care unit: predictors and impact on resource utilization.

PubMed

Arabi, Yaseen; Venkatesh, S; Haddad, Samir; Al Shimemeri, Abdullah; Al Malik, Salim

2002-10-01

To evaluate the predictors of prolonged Intensive Care Unit (ICU) stay and the impact on resource utilization. Prospective study. Adult medical/surgical ICU in a tertiary-care teaching hospital. All admissions to the ICU (numbering 947) over a 20-month period were enrolled. Data on demographic and clinical profile, length of stay, and outcome were collected prospectively. The ICU length of stay and mechanical ventilation days were used as surrogate parameters for resource utilization. Potential predictors were analyzed for possible association with prolonged ICU stay (length of stay > 14 days). Patients with prolonged ICU stay formed only 11% of patients, but utilized 45.1% of ICU days and 55.5% of mechanical ventilation days. Non-elective admissions, readmissions, respiratory or trauma-related reasons for admission, and first 24-hour evidence of infection, oliguria, coagulopathy, and the need for mechanical ventilation or vasopressor therapy had significant association with prolonged ICU stay. Mean APACHE II and SAPS II were slightly higher in patients with prolonged stay. ICU outcome was comparable to patients with < or = 14 days ICU stay. Patients with prolonged ICU stay form a small proportion of ICU patients, yet they consume a significant share of the ICU resources. The outcome of this group of patients is comparable to that of shorter stay patients. The predictors identified in the study can be used in targeting this group to improve resource utilization and efficiency of ICU care.

Predictors of in-hospital mortality for patients admitted with ST-elevation myocardial infarction: a real-world study using the Myocardial Infarction National Audit Project (MINAP) database.

PubMed

Gale, C P; Manda, S O M; Batin, P D; Weston, C F; Birkhead, J S; Hall, A S

2008-11-01

Although early thrombolysis reduces the risk of death in STEMI patients, mortality remains high. We evaluated factors predicting inpatient mortality for patients with STEMI in a "real-world" population. Analysis of the Myocardial Infarction National Audit Project (MINAP) database using multivariate logistic regression and area under the receiver operating curve analysis. All acute hospitals in England and Wales. 34 722 patients with STEMI from 1 January 2003 to 31 March 2005. Inpatient mortality was 10.6%. The highest odds ratios for inpatient survival were aspirin therapy given acutely and out-of-hospital thrombolysis, independently associated with a mortality risk reduction of over half. A 10-year increase in age doubled inpatient mortality risk, whereas cerebrovascular disease increased it by 1.7. The risk model comprised 14 predictors of mortality, C index = 0.82 (95% CI 0.82 to 0.83, p<0.001). A simple model comprising age, systolic blood pressure (SBP) and heart rate (HR) offered a C index of 0.80 (0.79 to 0.80, p<0.001). The strongest predictors of in-hospital survival for STEMI were aspirin therapy given acutely and out-of-hospital thrombolysis, Previous STEMI models have focused on age, SBP and HR We have confirmed the importance of these predictors in the discrimination of death after STEMI, but also demonstrated that other potentially modifiable variables impact upon the prediction of short-term mortality.

Applying Advanced Analytical Approaches to Characterize the Impact of Specific Clinical Gaps and Profiles on the Management of Rheumatoid Arthritis.

PubMed

Ruiz-Cordell, Karyn D; Joubin, Kathy; Haimowitz, Steven

2016-01-01

The goal of this study was to add a predictive modeling approach to the meta-analysis of continuing medical education curricula to determine whether this technique can be used to better understand clinical decision making. Using the education of rheumatologists on rheumatoid arthritis management as a model, this study demonstrates how the combined methodology has the ability to not only characterize learning gaps but also identify those proficiency areas that have the greatest impact on clinical behavior. The meta-analysis included seven curricula with 25 activities. Learners who identified as rheumatologists were evaluated across multiple learning domains, using a uniform methodology to characterize learning gains and gaps. A performance composite variable (called the treatment individualization and optimization score) was then established as a target upon which predictive analytics were conducted. Significant predictors of the target included items related to the knowledge of rheumatologists and confidence concerning 1) treatment guidelines and 2) tests that measure disease activity. In addition, a striking demographic predictor related to geographic practice setting was also identified. The results demonstrate the power of advanced analytics to identify key predictors that influence clinical behaviors. Furthermore, the ability to provide an expected magnitude of change if these predictors are addressed has the potential to substantially refine educational priorities to those drivers that, if targeted, will most effectively overcome clinical barriers and lead to the greatest success in achieving treatment goals.

Supervised embedding of textual predictors with applications in clinical diagnostics for pediatric cardiology.

PubMed

Perry, Thomas Ernest; Zha, Hongyuan; Zhou, Ke; Frias, Patricio; Zeng, Dadan; Braunstein, Mark

2014-02-01

Electronic health records possess critical predictive information for machine-learning-based diagnostic aids. However, many traditional machine learning methods fail to simultaneously integrate textual data into the prediction process because of its high dimensionality. In this paper, we present a supervised method using Laplacian Eigenmaps to enable existing machine learning methods to estimate both low-dimensional representations of textual data and accurate predictors based on these low-dimensional representations at the same time. We present a supervised Laplacian Eigenmap method to enhance predictive models by embedding textual predictors into a low-dimensional latent space, which preserves the local similarities among textual data in high-dimensional space. The proposed implementation performs alternating optimization using gradient descent. For the evaluation, we applied our method to over 2000 patient records from a large single-center pediatric cardiology practice to predict if patients were diagnosed with cardiac disease. In our experiments, we consider relatively short textual descriptions because of data availability. We compared our method with latent semantic indexing, latent Dirichlet allocation, and local Fisher discriminant analysis. The results were assessed using four metrics: the area under the receiver operating characteristic curve (AUC), Matthews correlation coefficient (MCC), specificity, and sensitivity. The results indicate that supervised Laplacian Eigenmaps was the highest performing method in our study, achieving 0.782 and 0.374 for AUC and MCC, respectively. Supervised Laplacian Eigenmaps showed an increase of 8.16% in AUC and 20.6% in MCC over the baseline that excluded textual data and a 2.69% and 5.35% increase in AUC and MCC, respectively, over unsupervised Laplacian Eigenmaps. As a solution, we present a supervised Laplacian Eigenmap method to embed textual predictors into a low-dimensional Euclidean space. This method allows many existing machine learning predictors to effectively and efficiently capture the potential of textual predictors, especially those based on short texts.

Predictors of Entering a Hearing Aid Evaluation Period: A Prospective Study in Older Hearing-Help Seekers

PubMed Central

Deeg, Dorly J.H.; Versfeld, Niek J.; Heymans, Martijn W.; Naylor, Graham; Kramer, Sophia E.

2017-01-01

This study aimed to determine the predictors of entering a hearing aid evaluation period (HAEP) using a prospective design drawing on the health belief model and the transtheoretical model. In total, 377 older persons who presented with hearing problems to an Ear, Nose, and Throat specialist (n = 110) or a hearing aid dispenser (n = 267) filled in a baseline questionnaire. After 4 months, it was determined via a telephone interview whether or not participants had decided to enter a HAEP. Multivariable logistic regression analyses were applied to determine which baseline variables predicted HAEP status. A priori, candidate predictors were divided into ‘likely’ and ‘novel’ predictors based on the literature. The following variables turned out to be significant predictors: more expected hearing aid benefits, greater social pressure, and greater self-reported hearing disability. In addition, greater hearing loss severity and stigma were predictors in women but not in men. Of note, the predictive effect of self-reported hearing disability was modified by readiness such that with higher readiness, the positive predictive effect became stronger. None of the ‘novel’ predictors added significant predictive value. The results support the notion that predictors of hearing aid uptake are also predictive of entering a HAEP. This study shows that some of these predictors appear to be gender specific or are dependent on a person’s readiness for change. After assuring the external validity of the predictors, an important next step would be to develop prediction rules for use in clinical practice, so that older persons’ hearing help-seeking journey can be facilitated. PMID:29237333

Investigation of Stressful Experiences, Self-Evaluations, and Self-Standards as Predictors of Sexual Activity During Early Adolescence

ERIC Educational Resources Information Center

Waller, Erika M.; DuBois, David L.

2004-01-01

Stressful experiences, self-evaluations, and self-standards associated with multiple contexts of development (i.e., school, family, sports/athletics) were investigated as predictors of initiation of sexual activity during the transition to adolescence. A sample of 134 seventh and eighth graders was followed as part of a 4-wave, 2-year longitudinal…

Learning Activity Predictors from Sensor Data: Algorithms, Evaluation, and Applications.

PubMed

Minor, Bryan; Doppa, Janardhan Rao; Cook, Diane J

2017-12-01

Recent progress in Internet of Things (IoT) platforms has allowed us to collect large amounts of sensing data. However, there are significant challenges in converting this large-scale sensing data into decisions for real-world applications. Motivated by applications like health monitoring and intervention and home automation we consider a novel problem called Activity Prediction , where the goal is to predict future activity occurrence times from sensor data. In this paper, we make three main contributions. First, we formulate and solve the activity prediction problem in the framework of imitation learning and reduce it to a simple regression learning problem. This approach allows us to leverage powerful regression learners that can reason about the relational structure of the problem with negligible computational overhead. Second, we present several metrics to evaluate activity predictors in the context of real-world applications. Third, we evaluate our approach using real sensor data collected from 24 smart home testbeds. We also embed the learned predictor into a mobile-device-based activity prompter and evaluate the app for 9 participants living in smart homes. Our results indicate that our activity predictor performs better than the baseline methods, and offers a simple approach for predicting activities from sensor data.

Effects of baseline and early acquired thrombocytopaenia on long-term mortality in patients undergoing percutaneous coronary intervention with bivalirudin.

PubMed

Ali, Ziad A; Qureshi, Yasir H; Karimi Galougahi, Keyvan; Poludasu, Shyam; Roye, Swathi; Krishnan, Prakash; Zalewski, Adrian; Shah, Zainab Z; Bhatti, Navdeep; Kalapatapu, Kumar; Mehran, Roxana; Dangas, George; Kini, Annapoorna S; Sharma, Samin K

2016-04-08

Bivalirudin use as a procedural anticoagulant in patients undergoing percutaneous coronary intervention (PCI) is associated with a lower incidence of thrombocytopaenia compared to other antithrombotic agents. We aimed to evaluate the prognostic impact of baseline thrombocytopaenia and early changes in platelet counts among patients undergoing PCI with exclusive use of bivalirudin. We evaluated 7,505 patients who underwent PCI over a period of eight years. Patients who received unfractionated heparin and glycoprotein IIb/IIIa receptor inhibitors were specifically excluded. Eight hundred and fifty-eight (11.4%) patients had baseline thrombocytopaenia and 451 (6.0%) developed acquired thrombocytopaenia. After adjustment for potential covariates, moderate to severe acquired thrombocytopaenia was the strongest independent predictor (HR 4.34, 95% CI: 2.13-8.84; p<0.001) of in-hospital net adverse clinical events, which included major adverse cardiac events and major bleeding complications. Age, male gender, baseline platelet count and intra-aortic balloon pump (IABP) insertion were independent predictors of in-hospital acquired thrombocytopaenia. After a mean follow-up of 2.6±1.7 years, moderate to severe baseline thrombocytopaenia (HR 2.42, 95% CI: 1.79-3.29; p<0.001), moderate to severe acquired thrombocytopaenia (HR 2.37, 95% CI: 1.13-4.97; p=0.02) and severe changes in platelet count (>67 k) were significant predictors of mortality. In patients undergoing PCI with bivalirudin, moderate to severe baseline and acquired thrombocytopaenia along with severe changes in platelet count are associated with higher long-term mortality.

Modulation of dental anxiety--the role of past experiences, psychopathologic traits and individual attachment patterns.

PubMed

Eli, I; Uziel, N; Blumensohn, R; Baht, R

2004-06-12

To evaluate factors affecting modulation of dental anxiety among adults. A total of 183 adult members of a closed communal society (Kibbutz), who have been treated since childhood only by the dentists employed in their community, were investigated concerning their past and present dental anxiety, evaluation of their past and present dentists, psychopathologic symptoms and individual pattern of attachment. The best predictor of subjects' evaluation of their present dental anxiety was the scale of anxiety as recorded by the SCL-90R questionnaire. The best predictors of the decrease in subjects' dental anxiety over time were the evaluation of their past and present dentists and the secure and avoidant patterns of attachment. Patterns of attachment (avoidant and ambivalent) were the best predictors of subjects' evaluation of their present dentist. While psychopathologic traits are involved in subjects' present dental anxiety, pattern of attachment may have a dominant affect as to whether anxiety persists throughout life or can be modulated through a corrective emotional experience.

Predictors of short-term outcome to exercise and manual therapy for people with hip osteoarthritis.

PubMed

French, Helen P; Galvin, Rose; Cusack, Tara; McCarthy, Geraldine M

2014-01-01

Physical therapy for hip osteoarthritis (OA) has shown short-term effects but limited long-term benefit. There has been limited research, with inconsistent results, in identifying prognostic factors associated with a positive response to physical therapy. The purpose of this study was to identify potential predictors of response to physical therapy (exercise therapy [ET] with or without adjunctive manual therapy [MT]) for hip OA based on baseline patient-specific and clinical characteristics. A prognostic study was conducted. Secondary analysis of data from a multicenter randomized controlled trial (RCT) (N=131) that evaluated the effectiveness of ET and ET+MT for hip OA was undertaken. Treatment response was defined using OMERACT/OARSI responder criteria. Ten baseline measures were used as predictor variables. Regression analyses were undertaken to identify predictors of outcome. Discriminative ability (sensitivity, specificity, and likelihood ratios) of significant variables was calculated. The RCT results showed no significant difference in most outcomes between ET and ET+MT at 9 and 18 weeks posttreatment. Forty-six patients were classified as responders at 9 weeks, and 36 patients were classified as responders at 18 weeks. Four baseline variables were predictive of a positive outcome at 9 weeks: male sex, pain with activity (<6/10), Western Ontario and McMaster Universities Osteoarthritis Index physical function subscale score (<34/68), and psychological health (Hospital Anxiety and Depression Scale score <9/42). No predictor variables were identified at the 18-week follow-up. Prognostic accuracy was fair for all 4 variables (sensitivity=0.5-0.58, specificity=0.57-0.72, likelihood ratios=1.25-1.77), indicating fair discriminative ability at predicting treatment response. The short-term follow-up limits the interpretation of results, and the low number of identified responders may have resulted in possible overfitting of the predictor model. The authors were unable to identify baseline variables in patients with hip OA that indicate those most likely to respond to treatment due to low discriminative ability. Further validation studies are needed to definitively define the best predictors of response to physical therapy in people with hip OA.

Not the Same Old Thing: Establishing the Unique Contribution of Drinking Identity as a Predictor of Alcohol Consumption and Problems Over Time

PubMed Central

Lindgren, Kristen P.; Ramirez, Jason J.; Olin, Cecilia C.; Neighbors, Clayton

2016-01-01

Drinking identity – how much individuals view themselves as drinkers– is a promising cognitive factor that predicts problem drinking. Implicit and explicit measures of drinking identity have been developed (the former assesses more reflexive/automatic cognitive processes; the latter more reflective/controlled cognitive processes): each predicts unique variance in alcohol consumption and problems. However, implicit and explicit identity’s utility and uniqueness as a predictor relative to cognitive factors important for problem drinking screening and intervention has not been evaluated. Thus, the current study evaluated implicit and explicit drinking identity as predictors of consumption and problems over time. Baseline measures of drinking identity, social norms, alcohol expectancies, and drinking motives were evaluated as predictors of consumption and problems (evaluated every three months over two academic years) in a sample of 506 students (57% female) in their first or second year of college. Results found that baseline identity measures predicted unique variance in consumption and problems over time. Further, when compared to each set of cognitive factors, the identity measures predicted unique variance in consumption and problems over time. Findings were more robust for explicit, versus, implicit identity and in models that did not control for baseline drinking. Drinking identity appears to be a unique predictor of problem drinking relative to social norms, alcohol expectancies, and drinking motives. Intervention and theory could benefit from including and considering drinking identity. PMID:27428756

Not the same old thing: Establishing the unique contribution of drinking identity as a predictor of alcohol consumption and problems over time.

PubMed

Lindgren, Kristen P; Ramirez, Jason J; Olin, Cecilia C; Neighbors, Clayton

2016-09-01

Drinking identity-how much individuals view themselves as drinkers-is a promising cognitive factor that predicts problem drinking. Implicit and explicit measures of drinking identity have been developed (the former assesses more reflexive/automatic cognitive processes; the latter more reflective/controlled cognitive processes): each predicts unique variance in alcohol consumption and problems. However, implicit and explicit identity's utility and uniqueness as predictors relative to cognitive factors important for problem drinking screening and intervention has not been evaluated. Thus, the current study evaluated implicit and explicit drinking identity as predictors of consumption and problems over time. Baseline measures of drinking identity, social norms, alcohol expectancies, and drinking motives were evaluated as predictors of consumption and problems (evaluated every 3 months over 2 academic years) in a sample of 506 students (57% female) in their first or second year of college. Results found that baseline identity measures predicted unique variance in consumption and problems over time. Further, when compared to each set of cognitive factors, the identity measures predicted unique variance in consumption and problems over time. Findings were more robust for explicit versus implicit identity and in models that did not control for baseline drinking. Drinking identity appears to be a unique predictor of problem drinking relative to social norms, alcohol expectancies, and drinking motives. Intervention and theory could benefit from including and considering drinking identity. (PsycINFO Database Record (c) 2016 APA, all rights reserved).

Is the useful field of view a good predictor of at-fault crash risk in elderly Japanese drivers?

PubMed

Sakai, Hiroyuki; Uchiyama, Yuji; Takahara, Miwa; Doi, Shun'ichi; Kubota, Fumiko; Yoshimura, Takayoshi; Tachibana, Atsumichi; Kurahashi, Tetsuo

2015-05-01

Although age-related decline in the useful field of view (UFOV) is well recognized as a risk factor for at-fault crash involvement in elderly drivers, there is still room to study its applicability to elderly Japanese drivers. In the current study, we thus examined the relationship between UFOV and at-fault crash history in an elderly Japanese population. We also explored whether potential factors that create awareness of reduced driving fitness could be a trigger for the self-regulation of driving in elderly drivers. We measured UFOV and at-fault crash history from 151 community-dwelling Japanese aged 60 years or older, and compared UFOV of at-fault crash-free and crash-involved drivers. We also measured self-evaluated driving style using a questionnaire. UFOV in crash-involved drivers was significantly lower than that in crash-free drivers. No significant difference was found in self-evaluated driving style between crash-free and crash-involved drivers. In addition, there was no significant association between UFOV and self-evaluated driving style. The present study showed that UFOV is a good predictor of at-fault crash risk in elderly Japanese drivers. Furthermore, our data imply that it might be difficult for elderly drivers to adopt appropriate driving strategies commensurate with their current driving competence. © 2014 Japan Geriatrics Society.

Predictors of Depression in Youth With Crohn Disease

PubMed Central

Clark, Jeffrey G.; Srinath, Arvind I.; Youk, Ada O.; Kirshner, Margaret A.; McCarthy, F. Nicole; Keljo, David J.; Bousvaros, Athos; DeMaso, David R.; Szigethy, Eva M.

2014-01-01

Objective The aim of the study was to determine whether infliximab use and other potential predictors are associated with decreased prevalence and severity of depression in pediatric patients with Crohn disease (CD). Methods A total of 550 (n = 550) youth ages 9 to 17 years with biopsy-confirmed CD were consecutively recruited as part of a multicenter randomized controlled trial. Out of the 550, 499 patients met study criteria and were included in the analysis. At recruitment, each subject and a parent completed the Children’s Depression Inventory (CDI). A child or parent CDI score ≥ 12 was used to denote clinically significant depressive symptoms (CSDS). Child and parent CDI scores were summed to form total CDI (CDIT). Infliximab use, demographic information, steroid use, laboratory values, and Pediatric Crohn’s Disease Activity Index (PCDAI) were collected as the potential predictors of depression. Univariate regression models were constructed to determine the relations among predictors, CSDS, and CDIT. Stepwise multivariate regression models were constructed to predict the relation between infliximab use and depression while controlling for other predictors of depression. Results Infliximab use was not associated with a decreased proportion of CSDS and CDIT after adjusting for multiple comparisons. CSDS and CDIT were positively associated with PCDAI, erythrocyte sedimentation rate, and steroid dose (P<0.01) and negatively associated with socioeconomic status (SES) (P<0.001). In multivariate models, PCDAI and SES were the strongest predictors of depression. Conclusions Disease activity and SES are significant predictors of depression in youth with Crohn disease. PMID:24343281

Species-environment relationships and potential for distribution modelling in coastal waters

NASA Astrophysics Data System (ADS)

Snickars, M.; Gullström, M.; Sundblad, G.; Bergström, U.; Downie, A.-L.; Lindegarth, M.; Mattila, J.

2014-01-01

Due to increasing pressure on the marine environment there is a growing need to understand species-environment relationships. To provide background for prioritising among variables (predictors) for use in distribution models, the relevance of predictors for benthic species was reviewed using the coastal Baltic Sea as a case-study area. Significant relationships for three response groups (fish, macroinvertebrates, macrovegetation) and six predictor categories (bottom topography, biotic features, hydrography, wave exposure, substrate and spatiotemporal variability) were extracted from 145 queried peer-reviewed field-studies covering three decades and six subregions. In addition, the occurrence of interaction among predictors was analysed. Hydrography was most often found in significant relationships, had low level of interaction with other predictors, but also had the most non-significant relationships. Depth and wave exposure were important in all subregions and are readily available, increasing their applicability for cross-regional modelling efforts. Otherwise, effort to model species distributions may prove challenging at larger scale as the relevance of predictors differed among both response groups and regions. Fish and hard bottom macrovegetation have the largest modelling potential, as they are structured by a set of predictors that at the same time are accurately mapped. A general importance of biotic features implies that these need to be accounted for in distribution modelling, but the mapping of most biotic features is challenging, which currently lowers the applicability. The presence of interactions suggests that predictive methods allowing for interactive effects are preferable. Detailing these complexities is important for future distribution modelling.

Adolescent mothers and child abuse potential: an evaluation of risk factors.

PubMed

Dukewich, T L; Borkowski, J G; Whitman, T L

1996-11-01

This research examines maternal and child factors that place adolescent mothers at risk for abusing their children. Using a longitudinal design, relationships among four risk factors (social supports, maternal psychological adjustment, maternal preparation for parenting, and child temperament), maternal psychological predisposition for aggressive coping (perceptions of stress and endorsements of punitive parenting), and maternal abuse potential were examined in a sample of 75 primiparous adolescent mothers and their children. Preparation for parenting, a construct which included knowledge and attitudes about children's development, was the strongest direct predictor of abuse potential; however, its effects were also partially mediated by the mother's psychological predisposition for aggressive coping. Similarly, the effects of child temperament on abuse were mediated by the mother's psychological predisposition for aggressive coping. Implications for designing intervention programs, and identifying at-risk adolescents, were also discussed.

Major Bleeding after Percutaneous Image-Guided Biopsies: Frequency, Predictors, and Periprocedural Management

PubMed Central

Kennedy, Sean A.; Milovanovic, Lazar; Midia, Mehran

2015-01-01

Major bleeding remains an uncommon yet potentially devastating complication following percutaneous image-guided biopsy. This article reviews two cases of major bleeding after percutaneous biopsy and discusses the frequency, predictors, and periprocedural management of major postprocedural bleeding. PMID:25762845

Predictors for traumatic brain injuries evaluated through accident reconstructions.

PubMed

Kleiven, Svein

2007-10-01

The aim of this study is to evaluate all the 58 available NFL cases and compare various predictors for mild traumatic brain injuries using a detailed and extensively validated finite element model of the human head. Global injury measures such as magnitude in angular and translational acceleration, change in angular velocity, head impact power (HIP) and HIC were also investigated with regard to their ability to predict the intracranial pressure and strains associated with injury. The brain material properties were modeled using a hyperelastic and viscoelastic constitutive law. Also, three different stiffness parameters, encompassing a range of published brain tissue properties, were tested. 8 tissue injury predictors were evaluated for 6 different regions, covering the entire cerebrum, as well as for the whole brain. In addition, 10 head kinematics based predictors were evaluated both for correlation with injury as well as with strain and pressure. When evaluating the results, a statistical correlation between strain, strain rate, product of strain and strain rate, Cumulative Strain Damage Measure (CSDM), strain energy density, maximum pressure, magnitude of minimum pressure, as well as von Mises effective stress, with injury was found when looking into specific regions of the brain. However, the maximal pressure in the gray matter showed a higher correlation with injury than other evaluated measures. On the other hand, it was possible, through the reconstruction of a motocross accident, to re-create the injury pattern in the brain of the injured rider using maximal principal strain. It was also found that a simple linear combination of peak change in rotational velocity and HIC showed a high correlation (R=0.98) with the maximum principal strain in the brain, in addition to being a significant predictor of injury. When applying the rotational and translational kinematics separately for one of the cases, it was found that the translational kinematics contribute very little to the intracranial distortional strains while the rotational kinematics contributes insignificantly to the pressure response. This study underlines that the strain based brain tissue injury predictors are very sensitive to the choice of stiffness for the brain tissue.

US characteristics for the prediction of neoplasm in gallbladder polyps 10 mm or larger.

PubMed

Kim, Jin Sil; Lee, Jeong Kyong; Kim, Yookyung; Lee, Sang Min

2016-04-01

To evaluate the characteristics of gallbladder polyps 10 mm or larger to predict a neoplasm in US examinations. Fifty-three patients with gallbladder polyps ≥ 10 mm with follow-up images or pathologic diagnosis were included in the retrospective study. All images and reports were reviewed to determine the imaging characteristics of gallbladder polyps. Univariate and multivariate analyses were used to evaluate predictors for a neoplastic polyp. A neoplastic polyp was verified in 12 of 53 patients and the mean size was 13.9 mm. The univariate analysis revealed that adjacent gallbladder wall thickening, larger size (≥15 mm), older age (≥57 years), absence of hyperechoic foci in a polyp, CT visibility, sessile shape, a solitary polyp, and an irregular surface were significant predictors for a neoplastic polyp. In the multivariate analysis, larger size (≥15 mm) was a significant predictor for a neoplastic polyp. A polyp size ≥15 mm was the strongest predictor for a neoplastic polyp with US. The hyperechoic foci in a polyp and CT visibility would be useful indicators for the differentiation of a neoplastic polyp, in addition to the established predictors. • A polyp size ≥15 mm is the strongest predictor for a neoplastic polyp with US. • Hyperechoic foci in a polyp and CT visibility are new predictors. • The rate of malignancy is low in polyps even 10 mm or larger (15.1 %).

Hyalella IQ Toxicity Test{trademark} as a predictor of whole sediment toxicity with diversely contaminated sediments

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

Douglas, W.S.; Hayes, K.R.

1994-12-31

The IQ TOXICITY TEST{trademark} is a toxicity screening test that evaluates the organism`s galactosidase enzyme system functionality as a predictor of acute toxicity. Organisms are exposed to a potentially toxic solution for approximately one hour. Following the exposure, the organisms are exposed to a slurry of a galactoside sugar tagged with a fluorescent marker (methylumbelliferyl galactoside) for 15--20 minutes. A black light can then be used to examine whether the hemolymph of the organism contains free umbelliferone, which brightly fluoresces. The organisms are then scored as ``on`` or ``off`` with respect to free umbelliferone. This endpoint can then be usedmore » to calculate an EC50, which is comparable to a whole effluent, pure compound, or sediment toxicity test. Slightly different methodologies are used for different toxicity test organisms. The objective of this presentation is to discuss the use of the IQ{trademark} methodology with porewater extract exposures of the amphipod Hyalella azteca as a predictor of results of whole sediment toxicity tests. The results of over thirty 10 and 28-day whole sediment toxicity tests and the concurrent Hyalella azteca 10 TOXICITY TESTS{trademark} are compared and discussed. The use of screening tests as a reduced cost method for initial site assessment will be discussed.« less

Predictors of body mass index change in Australian primary school children.

PubMed

Hesketh, Kylie; Carlin, John; Wake, Melissa; Crawford, David

2009-01-01

To assess associations between multiple potential predictors and change in child body mass index (BMI). In the 1997 Health of Young Victorians Study, children in Grades preparatory to three (aged 5-10 years) had their height and weight measured. Parents provided information on potential predictors of childhood overweight across six domains (children's diet, children's activity level, family composition, sociodemographic factors, prenatal factors and parental adiposity). Measures were repeated three years later in 2000/1. BMI was transformed to standardised (z) scores using the US 2000 Growth Chart data and children were classified as non-overweight or overweight according to international cut-points. Regression analyses, including baseline BMI z-score as a covariate, assessed the contribution of each potential predictor to change in BMI z-score, development of overweight and spontaneous resolution of overweight in 1,373 children. BMI z-score change was positively associated with frequency of take-away food, food quantity, total weekly screen time, non-Australian paternal country of birth, maternal smoking during pregnancy, and maternal and paternal BMI. Inverse associations were noted for the presence of siblings and rural residence (all p<0.05). Predictors of categorical change (development and resolution of overweight) were less clearly identified, apart from an association between maternal BMI and overweight development (p=0.02). Multivariable models suggested individual determinants have a cumulative effect on BMI change. Strong short-term tracking of BMI makes it difficult to identify predictors of change. Nonetheless, putative determinants across all domains assessed were independently associated with adiposity change. Multi-faceted solutions are likely to be required to successfully deal with the complexities of childhood overweight.

Predictors of Blood Trihalomethane Concentrations in NHANES 1999–2006

PubMed Central

Dhingra, Radhika; Blount, Benjamin C.; Steenland, Kyle

2014-01-01

Background: Trihalomethanes (THMs) are water disinfection by-products that have been associated with bladder cancer and adverse birth outcomes. Four THMs (bromoform, chloroform, bromodichloromethane, dibromochloromethane) were measured in blood and tap water of U.S. adults in the National Health and Nutrition Examination Survey (NHANES) 1999–2006. THMs are metabolized to potentially toxic/mutagenic intermediates by cytochrome p450 (CYP) 2D6 and CYP2E1 enzymes. Objectives: We conducted exploratory analyses of blood THMs, including factors affecting CYP2D6 and CYP2E1 activity. Methods: We used weighted multivariable regressions to evaluate associations between blood THMs and water concentrations, survey year, and other factors potentially affecting THM exposure or metabolism (e.g., prescription medications, cruciferous vegetables, diabetes, fasting, pregnancy, swimming). Results: From 1999 to 2006, geometric mean blood and water THM levels dropped in parallel, with decreases of 32%–76% in blood and 38%–52% in water, likely resulting, in part, from the lowering of the total THM drinking water standard in 2002–2004. The strongest predictors of blood THM levels were survey year and water concentration (n = 4,232 total THM; n = 4,080 bromoform; n = 4,582 chloroform; n = 4,374 bromodichloromethane; n = 4,464 dibromochloromethane). We detected statistically significant inverse associations with diabetes and eating cruciferous vegetables in all but the bromoform model. Medications did not consistently predict blood levels. Afternoon/evening blood samples had lower THM concentrations than morning samples. In a subsample (n = 230), air chloroform better predicted blood chloroform than water chloroform, suggesting showering/bathing was a more important source than drinking. Conclusions: We identified several factors associated with blood THMs that may affect their metabolism. The potential health implications require further study. Citation: Riederer AM, Dhingra R, Blount BC, Steenland K. 2014. Predictors of blood trihalomethane concentrations in NHANES 1999–2006. Environ Health Perspect 122:695–702; http://dx.doi.org/10.1289/ehp.1306499 PMID:24647036

The prognostic value of CT coronary angiography in patients attending hospital with troponin-negative acute chest pain and inconclusive exercise treadmill tests.

PubMed

Mordi, Ify; Tzemos, Nikolaos

2016-05-01

Once acute coronary syndrome (ACS) is excluded in patients presenting to hospital with acute chest pain, usual practice is to stratify future risk of adverse cardiovascular events. Commonly this is performed by pre-discharge exercise treadmill testing (ETT). Often however, patients are unable to perform the test for various reasons, or the final result is inconclusive. This potentially could lead to uncertainty and to unnecessary invasive coronary angiography. We wished to evaluate the potential prognostic significance of CT coronary angiography (CTCA) in patients with prior inconclusive ETTs. Two hundred and thirty-two consecutive patients underwent CTCA and calcium scoring following hospital attendance with acute chest pain and following exclusion of ACS. All patients were followed up for a combined primary outcome of death, non-fatal myocardial infarction, and late revascularization. The mean follow-up period was 2.5 ± 0.9 years. The combined primary outcome occurred in 26 patients (11.2%). Calcium score (HR 1.16; 95% CI 1.02-1.31, P = 0.023 per 100 Agatston unit increase), the presence of coronary artery disease (CAD) on CTCA (non-obstructive CAD, HR 4.52; 95% CI 1.30-15.73, P = 0.018; obstructive CAD, HR 17.00; 95% CI 4.60-62.85, P < 0.001), and ≥3 segments with non-calcified plaque (HR 3.30; 95% CI 1.24-8.76, P = 0.017) were significant univariable predictors of the primary outcome. CTCA was the only significant multivariable predictor of adverse outcome. The presence of CAD assessed by CTCA is a strong predictor of adverse events in patients with troponin-negative acute chest pain and could potentially be used as an alternative, non-invasive risk stratifier in patients with inconclusive exercise tests. Published on behalf of the European Society of Cardiology. All rights reserved. © The Author 2015. For permissions please email: journals.permissions@oup.com.

Frequency and clinical predictors of coronary artery disease in chronic renal failure renal transplant candidates.

PubMed

de Albuquerque Seixas, Emerson; Carmello, Beatriz Leone; Kojima, Christiane Akemi; Contti, Mariana Moraes; Modeli de Andrade, Luiz Gustavo; Maiello, José Roberto; Almeida, Fernando Antonio; Martin, Luis Cuadrado

2015-05-01

Cardiovascular diseases are major causes of mortality in chronic renal failure patients before and after renal transplantation. Among them, coronary disease presents a particular risk; however, risk predictors have been used to diagnose coronary heart disease. This study evaluated the frequency and importance of clinical predictors of coronary artery disease in chronic renal failure patients undergoing dialysis who were renal transplant candidates, and assessed a previously developed scoring system. Coronary angiographies conducted between March 2008 and April 2013 from 99 candidates for renal transplantation from two transplant centers in São Paulo state were analyzed for associations between significant coronary artery diseases (≥70% stenosis in one or more epicardial coronary arteries or ≥50% in the left main coronary artery) and clinical parameters. Univariate logistic regression analysis identified diabetes, angina, and/or previous infarction, clinical peripheral arterial disease and dyslipidemia as predictors of coronary artery disease. Multiple logistic regression analysis identified only diabetes and angina and/or previous infarction as independent predictors. The results corroborate previous studies demonstrating the importance of these factors when selecting patients for coronary angiography in clinical pretransplant evaluation.

The “Right Stuff” Revisited: What Have We Learned About the Determinants of Daily Functioning in Schizophrenia?

PubMed Central

Green, Michael F.; Llerena, Katiah; Kern, Robert S.

2015-01-01

It has been about 15 years since we published our article asking whether we are measuring the “Right Stuff” as we search for predictors and determinants of functional outcome in schizophrenia. At that time, we raised the question as to whether the neurocognitive assessments used to study outcome in schizophrenia were too narrow to capture the wide variability in factors that determine daily functioning. While the study of the determinants of functioning in schizophrenia has grown and matured, we are struck by 3 aspects of the article that evolved in different directions. First, the selection of outcome domains in the Right Stuff meta-analysis reflects a focus at that time on predictors of psychiatric rehabilitation. Second, expansion beyond traditional neurocognitive domains occurred in one suggested area (social cognition), but not another (learning potential). Third, the field has responded assertively to the recommendation to evaluate more informed and informative theoretical models. PMID:25750248

A Comparison of Autonomous Regulation and Negative Self-Evaluative Emotions as Predictors of Smoking Behavior Change among College Students

PubMed Central

Lee, Hyoung S.; Catley, Delwyn; Harris, Kari Jo

2011-01-01

This study compared autonomous self-regulation and negative self-evaluative emotions as predictors of smoking behavior change in college student smokers (N=303) in a smoking cessation intervention study. Although the two constructs were moderately correlated, latent growth curve modeling revealed that only autonomous regulation, but not negative self-evaluative emotions, was negatively related to the number of days smoked. Results suggest that the two variables tap different aspects of motivation to change smoking behaviors, and that autonomous regulation predicts smoking behavior change better than negative self-evaluative emotions. PMID:21911436

A comparison of autonomous regulation and negative self-evaluative emotions as predictors of smoking behavior change among college students.

PubMed

Lee, Hyoung S; Catley, Delwyn; Harris, Kari Jo

2012-05-01

This study compared autonomous self-regulation and negative self-evaluative emotions as predictors of smoking behavior change in college student smokers (N = 303) in a smoking cessation intervention study. Although the two constructs were moderately correlated, latent growth curve modeling revealed that only autonomous regulation, but not negative self-evaluative emotions, was negatively related to the number of days smoked. Results suggest that the two variables tap different aspects of motivation to change smoking behaviors, and that autonomous regulation predicts smoking behavior change better than negative self-evaluative emotions.

Evaluating the psycholegal abilities of young offenders with fetal alcohol spectrum disorder.

PubMed

McLachlan, Kaitlyn; Roesch, Ronald; Viljoen, Jodi L; Douglas, Kevin S

2014-02-01

Individuals with a diagnosis of fetal alcohol spectrum disorder (FASD) experience a range of physical, cognitive, and behavioral deficits thought to interfere with their ability to competently navigate the arrest, interrogation, and trial process. This study examined the psycholegal abilities of young offenders with FASD, including their understanding and appreciation of Miranda rights, and adjudication capacities (factual knowledge of criminal procedure, appreciation of the nature and object of the proceedings, ability to participate in a defense and communicate with counsel). Two groups of young offenders (50 with FASD and 50 without prenatal alcohol exposure) completed Grisso's Instruments for Assessing Understanding and Appreciation of Miranda rights and the Fitness Interview Test-Revised to assess overall rates of impairment in youth with FASD, as well as differences between the groups. Potentially important predictors of psycholegal abilities were also evaluated. Results indicated the majority of young offenders with FASD (90%) showed impairment in at least one psycholegal ability, and rates of impairment were significantly higher than the comparison group. However, considerable within-group variability was observed. IQ and reading comprehension emerged as robust predictors of participants' psycholegal abilities, while the FASD diagnosis differentiated participants' scores on the FIT-R. These findings underscore the importance of individualized and comprehensive forensic assessments of psycholegal abilities in this population when warranted. Additional system level strains for this population are discussed, including problems in approaching competency remediation, and the potentially growing need for accommodation and forensic assessments in the face of limited financial and professional resources in legal settings.

A retrospective review of fall risk factors in the bone marrow transplant inpatient service.

PubMed

Vela, Cory M; Grate, Lisa M; McBride, Ali; Devine, Steven; Andritsos, Leslie A

2018-06-01

Purpose The purpose of this study was to compare medications and potential risk factors between patients who experienced a fall during hospitalization compared to those who did not fall while admitted to the Blood and Marrow Transplant inpatient setting at The James Cancer Hospital. Secondary objectives included evaluation of transplant-related disease states and medications in the post-transplant setting that may lead to an increased risk of falls, post-fall variables, and number of tests ordered after a fall. Methods This retrospective, case-control study matched patients in a 2:1 ratio of nonfallers to fallers. Data from The Ohio State University Wexner Medical Center (OSUWMC) reported fall events and patient electronic medical records were utilized. A total of 168 adult Blood and Marrow Transplant inpatients with a hematological malignancy diagnosis were evaluated from 1 January 2010 to 30 September 2012. Results Univariable and multivariable conditional logistic regression models were used to assess the relationship between potential predictor variables of interest and falls. Variables that were found to be significant predictors of falls from the univariable models include age group, incontinence, benzodiazepines, corticosteroids, anticonvulsants and antidepressants, and number of days status-post transplant. When considered for a multivariable model age group, corticosteroids, and a cancer diagnosis of leukemia were significant in the final model. Conclusion Recent medication utilization such as benzodiazepines, anticonvulsants, corticosteroids, and antidepressants placed patients at a higher risk of experiencing a fall. Other significant factors identified from a multivariable analysis found were patients older than age 65, patients with recent corticosteroid administration and a cancer diagnosis of leukemia.

Discriminating anisometropic amblyopia from myopia based on interocular inhibition

PubMed Central

Jia, Wuli; Zhou, Jiawei; Lu, Zhong-Lin; Lesmes, Luis A.; Huang, Chang-Bing

2016-01-01

Amblyopia screening during childhood is critical for early detection and successful treatment. In the current study, we develop and evaluate a screening method that exploits the imbalanced interocular inhibition between amblyopic and fellow eyes. In nineteen subjects with anisometropic amblyopia and twenty-two age-matched subjects with myopia, we measured the area under the contrast sensitivity functions (AUCSFs) in eight monocular conditions defined by tested eye (left, right), patching of the untested eye (translucent, opaque), and refractive status (corrected, uncorrected). For each test eye, we defined the inhibition index as the ratio between AUCSF values obtained in the translucent and opaque patching conditions of the untested eye. To evaluate the screening potential of the inhibition index, we compared results from patients with amblyopia and myopia. With and without optical correction, the index was significantly lower in the amblyopic eye than in the fellow eye of the amblyopic subjects and both eyes of the myopic subjects. No significant difference was found among the two eyes of the myopic subjects and the fellow eyes of the amblyopic subjects. With the inhibition index as the predictor, a logistic regression model successfully discriminated amblyopic eyes from myopic eyes with 100% accuracy in the uncorrected condition. In the corrected condition, with the inhibition index and interocular visual acuity difference as predictors, amblyopic eyes were likewise discriminated from myopic eyes with 100% accuracy. This pattern of CSF changes, caused by the different patching modes of the untested eye, provides a potential CSF signature to discriminate anisometropic amblyopia from myopia. PMID:25701741

The impact of SOA for achieving healthcare interoperability. An empirical investigation based on a hypothetical adoption.

PubMed

Daskalakis, S; Mantas, J

2009-01-01

The evaluation of a service-oriented prototype implementation for healthcare interoperability. A prototype framework was developed, aiming to exploit the use of service-oriented architecture (SOA) concepts for achieving healthcare interoperability and to move towards a virtual patient record (VPR) paradigm. The prototype implementation was evaluated for its hypothetical adoption. The evaluation strategy was based on the initial proposition of the DeLone and McLean model of information systems (IS) success [1], as modeled by Iivari [2]. A set of SOA and VPR characteristics were empirically encapsulated within the dimensions of IS success model, combined with measures from previous research works. The data gathered was analyzed using partial least squares (PLS). The results highlighted that system quality is a partial predictor of system use but not of user satisfaction. On the contrary, information quality proved to be a significant predictor of user satisfaction and partially a strong significant predictor of system use. Moreover, system use did not prove to be a significant predictor of individual impact whereas the bi-directional relation between use and user satisfaction did not confirm. Additionally, user satisfaction was found to be a strong significant predictor of individual impact. Finally, individual impact proved to be a strong significant predictor of organizational impact. The empirical study attempted to obtain hypothetical, but still useful beliefs and perceptions regarding the SOA prototype implementation. The deduced observations can form the basis for further investigation regarding the adaptability of SOA implementations with VPR characteristics in the healthcare domain.

Examining of the Predictors of Pre-Service Teachers' Perceptions of the Quality of the Science Fair Projects in Turkey

ERIC Educational Resources Information Center

Tortop, Hasan Said

2014-01-01

This study aimed at examining the predictors of quality of science fair (SF) projects in the light of pre-service teachers' evaluation of SF rubric' domains. These projects were selected by judges in A city for the A Regional Exhibition of Science and Mathematics Project Study for Primary School Students: The SF projects were evaluated by thirty…

Which nerve conduction parameters can predict spontaneous electromyographic activity in carpal tunnel syndrome?

PubMed

Chang, Chia-Wei; Lee, Wei-Ju; Liao, Yi-Chu; Chang, Ming-Hong

2013-11-01

We investigate electrodiagnostic markers to determine which parameters are the best predictors of spontaneous electromyographic (EMG) activity in carpal tunnel syndrome (CTS). We enrolled 229 patients with clinically proven and nerve conduction study (NCS)-proven CTS, as well as 100 normal control subjects. All subjects were evaluated using electrodiagnostic techniques, including median distal sensory latencies (DSLs), sensory nerve action potentials (SNAPs), distal motor latencies (DMLs), compound muscle action potentials (CMAPs), forearm median nerve conduction velocities (FMCVs) and wrist-palm motor conduction velocities (W-P MCVs). All CTS patients underwent EMG examination of the abductor pollicis brevis (APB) muscle, and the presence or absence of spontaneous EMG activities was recorded. Normal limits were determined by calculating the means ± 2 standard deviations from the control data. Associations between parameters from the NCS and EMG findings were investigated. In patients with clinically diagnosed CTS, abnormal median CMAP amplitudes were the best predictors of spontaneous activity during EMG examination (p<0.001; OR 36.58; 95% CI 15.85-84.43). If the median CMAP amplitude was ≤ 2.1 mV, the rate of occurrence of spontaneous EMG activity was >95% (positive predictive rate >95%). If the median CMAP amplitude was higher than the normal limit (>4.9 mV), the rate of no spontaneous EMG activity was >94% (negative predictive rate >94%). An abnormal SNAP amplitude was the second best predictor of spontaneous EMG activity (p<0.001; OR 4.13; 95% CI 2.16-7.90), and an abnormal FMCV was the third best predictor (p=0.01; OR 2.10; 95% CI 1.20-3.67). No other nerve conduction parameters had significant power to predict spontaneous activity upon EMG examination. The CMAP amplitudes of the APB are the most powerful predictors of the occurrence of spontaneous EMG activity. Low CMAP amplitudes are strongly associated with spontaneous activity, whereas high CMAP amplitude are less associated with spontaneous activity, implying that needle EMG examination should be recommended for the detection of spontaneous activity in those CTS patients whose NCS reveals CMAP amplitudes between 2.1 mV and the lower normal limit (4.9mV in the present study). Using NCS, electromyographers can predict the presence of spontaneous EMG activity in CTS patients. Copyright © 2013 International Federation of Clinical Neurophysiology. Published by Elsevier Ireland Ltd. All rights reserved.

Investigation of predictors affecting food mixing ability in mandibulectomy and/or glossectomy patients.

PubMed

Otomaru, Takafumi; Sumita, Yuka I; Chang, Qingan; Fueki, Kenji; Igarashi, Yoshimasa; Taniguchi, Hisashi

2009-07-01

Several previous reports have described factors that affect masticatory function. However, there are no known predictors that affect the food mixing ability of the masticatory function, and it has been impossible to predict masticatory function in mandibulectomy and/or glossectomy patients. The purpose of the present study was to develop a numerical formula that could predict the food mixing ability of the masticatory function among mandibulectomy and/or glossectomy patients. The null hypothesis of the study was that five predictors, namely mandibulectomy, mandibular continuity, number of residual mandibular teeth, occlusal units and tongue movement score, were unable to account for the mixing ability index (MAI) in mandibulectomy and/or glossectomy patients. The subjects were 20 patients who had undergone mandibulectomy and/or glossectomy. The above-described five predictors were assessed. Tongue movement was evaluated with a tongue movement test and the MAI was evaluated with a mixing ability test. Multiple regression analysis was used to examine whether the five predictors affected the MAI after prosthetic treatment. A regression equation was determined for the five predictors (R(2)=0.83; adjusted R(2)=0.77; p<0.001). The obtained regression equation could successfully account for the MAI in mandibulectomy and/or glossectomy patients.

A Deep Machine Learning Algorithm to Optimize the Forecast of Atmospherics

NASA Astrophysics Data System (ADS)

Russell, A. M.; Alliss, R. J.; Felton, B. D.

Space-based applications from imaging to optical communications are significantly impacted by the atmosphere. Specifically, the occurrence of clouds and optical turbulence can determine whether a mission is a success or a failure. In the case of space-based imaging applications, clouds produce atmospheric transmission losses that can make it impossible for an electro-optical platform to image its target. Hence, accurate predictions of negative atmospheric effects are a high priority in order to facilitate the efficient scheduling of resources. This study seeks to revolutionize our understanding of and our ability to predict such atmospheric events through the mining of data from a high-resolution Numerical Weather Prediction (NWP) model. Specifically, output from the Weather Research and Forecasting (WRF) model is mined using a Random Forest (RF) ensemble classification and regression approach in order to improve the prediction of low cloud cover over the Haleakala summit of the Hawaiian island of Maui. RF techniques have a number of advantages including the ability to capture non-linear associations between the predictors (in this case physical variables from WRF such as temperature, relative humidity, wind speed and pressure) and the predictand (clouds), which becomes critical when dealing with the complex non-linear occurrence of clouds. In addition, RF techniques are capable of representing complex spatial-temporal dynamics to some extent. Input predictors to the WRF-based RF model are strategically selected based on expert knowledge and a series of sensitivity tests. Ultimately, three types of WRF predictors are chosen: local surface predictors, regional 3D moisture predictors and regional inversion predictors. A suite of RF experiments is performed using these predictors in order to evaluate the performance of the hybrid RF-WRF technique. The RF model is trained and tuned on approximately half of the input dataset and evaluated on the other half. The RF approach is validated using in-situ observations of clouds. All of the hybrid RF-WRF experiments demonstrated here significantly outperform the base WRF local low cloud cover forecasts in terms of the probability of detection and the overall bias. In particular, RF experiments that use only regional three-dimensional moisture predictors from the WRF model produce the highest accuracy when compared to RF experiments that use local surface predictors only or regional inversion predictors only. Furthermore, adding multiple types of WRF predictors and additional WRF predictors to the RF algorithm does not necessarily add more value in the resulting forecasts, indicating that it is better to have a small set of meaningful predictors than to have a vast set of indiscriminately-chosen predictors. This work also reveals that the WRF-based RF approach is highly sensitive to the time period over which the algorithm is trained and evaluated. Future work will focus on developing a similar WRF-based RF model for high cloud prediction and expanding the algorithm to two-dimensions horizontally.

Predictors of Early Termination in a University Counseling Training Clinic

ERIC Educational Resources Information Center

Lampropoulos, Georgios K.; Schneider, Mercedes K.; Spengler, Paul M.

2009-01-01

Despite the existence of counseling dropout research, there are limited predictive data for counseling in training clinics. Potential predictor variables were investigated in this archival study of 380 client files in a university counseling training clinic. Multinomial logistic regression, predictive discriminant analysis, and classification and…

Modeling Initiation into Drug Injection among Street Youth

ERIC Educational Resources Information Center

Roy, Elise; Godin, Gaston; Boudreau, Jean-Francois; Cote, Philippe-Benoit; Denis, Veronique; Haley, Nancy; Leclerc, Pascale; Boivin, Jean-Francois

2011-01-01

This study aimed at examining the predictors of initiation into drug injection among street youth using social cognitive theory framework. A prospective cohort study based on semi-annual interviews was carried out. Psychosocial determinants referred to avoidance of initiation. Other potential predictors were: sociodemographic characteristics,…

Cooperation predictors for dental patients with autism.

PubMed

Marshall, Jennifer; Sheller, Barbara; Williams, Bryan J; Mancl, Lloyd; Cowan, Charles

2007-01-01

This study evaluated potential predictors of cooperation during dental appointments for children with autism. Data were collected from 108 parent/child pairs and their dentists. Questions included: (1) medical/dental history; (2)functional language; (3) personal hygiene skills; (4) academic setting; and (5) achievements. Behavior was scored using the Frankl scale. Subjects were 80 males and 28 females 2.7 to 19 years old with a mean age of 9.8 years. Frankl scores were 65% uncooperative (definitely negative or negative) and 35% cooperative (positive or definitely positive). Multiple factors predicted uncooperative behavior: (1) appointment type (P=.03); (2) concurrent medical diagnoses (P=.04); (3) nonverbal/minimal or echololic language (P=.005); (4) inability to understand language appropriate for age (P=.02); (5) inability to follow multistep instructions (P=.04); (6) parents providing most/all tooth-brushing (P=.004); (7) partially or not toilet trained at 4+ years (P=.02); (8) inability to sit for a haircut (P=.01); (9) attending special education (P<.001); and (10) inability to read at 6+ years (P<.001). Five questions readily answered by a caregiver may indicate a child's cooperative potential. Preappointment inquiry about toilet training, toothbrushing, haircuts, academic achievement and language can give the dentist insight into the child's ability to respond positively to behavior guidance techniques based on communication.

CYTOKINES AS THE PREDICTORS OF SEVERE MYCOPLASMA PNEUMONIAE PNEUMONIA IN CHILDREN (REVIEW).

PubMed

Chkhaidze, I; Kapanadze, N

2017-06-01

In spite of many attempts to differentiate bacterial from viral disease and predict severity and outcome, the etiologic diagnosis of paediatric community acquired pneumonia and the estimation of potential outcomes remain unsolved problems in most cases. Mycoplasma pneumoniae is one of the major pathogens causing CAP in children. Although MP infection was traditionally thought to be a self-limited process, more and more severe cases even fatal cases of MP infections were reported in recent years. So it is essential for pediatricians to recognize severe or refractory or severe MP early, treat it promptly and prevent the progress of the disease. In recent years, several new biomarkers have been tested in children with CAP. Some of the biomarkers used for etiologic diagnosis in children with CAP and they also have been used the MP infection severity. Among traditional biomarkers, several cytokines appears to be effective both in selection of bacterial cases and in evaluation of severity. However, a precise cut-off level able to separate bacterial from viral cases and mild from severe cases has not been defined. Further studies enrolled with a large number of children with Mycoplasma pneumoniae is needed to be carried out to identify the potential utility of different cytokines as the good predictors.

Predictor characteristics necessary for building a clinically useful risk prediction model: a simulation study.

PubMed

Schummers, Laura; Himes, Katherine P; Bodnar, Lisa M; Hutcheon, Jennifer A

2016-09-21

Compelled by the intuitive appeal of predicting each individual patient's risk of an outcome, there is a growing interest in risk prediction models. While the statistical methods used to build prediction models are increasingly well understood, the literature offers little insight to researchers seeking to gauge a priori whether a prediction model is likely to perform well for their particular research question. The objective of this study was to inform the development of new risk prediction models by evaluating model performance under a wide range of predictor characteristics. Data from all births to overweight or obese women in British Columbia, Canada from 2004 to 2012 (n = 75,225) were used to build a risk prediction model for preeclampsia. The data were then augmented with simulated predictors of the outcome with pre-set prevalence values and univariable odds ratios. We built 120 risk prediction models that included known demographic and clinical predictors, and one, three, or five of the simulated variables. Finally, we evaluated standard model performance criteria (discrimination, risk stratification capacity, calibration, and Nagelkerke's r 2 ) for each model. Findings from our models built with simulated predictors demonstrated the predictor characteristics required for a risk prediction model to adequately discriminate cases from non-cases and to adequately classify patients into clinically distinct risk groups. Several predictor characteristics can yield well performing risk prediction models; however, these characteristics are not typical of predictor-outcome relationships in many population-based or clinical data sets. Novel predictors must be both strongly associated with the outcome and prevalent in the population to be useful for clinical prediction modeling (e.g., one predictor with prevalence ≥20 % and odds ratio ≥8, or 3 predictors with prevalence ≥10 % and odds ratios ≥4). Area under the receiver operating characteristic curve values of >0.8 were necessary to achieve reasonable risk stratification capacity. Our findings provide a guide for researchers to estimate the expected performance of a prediction model before a model has been built based on the characteristics of available predictors.

Predictors of Post-Operative Pain Relief in Patients with Chronic Pancreatitis Undergoing the Frey or Whipple Procedure.

PubMed

Sinha, Amitasha; Patel, Yuval A; Cruise, Michael; Matsukuma, Karen; Zaheer, Atif; Afghani, Elham; Yadav, Dhiraj; Makary, Martin A; Hirose, Kenzo; Andersen, Dana K; Singh, Vikesh K

2016-04-01

Post-operative pain relief in chronic pancreatitis (CP) is variable. Our objective was to determine clinical imaging or histopathologic predictor(s) of post-operative pain relief in CP patients undergoing the Whipple or Frey procedure. All patients who underwent a Whipple (n = 30) or Frey procedure (n = 30) for painful CP between January 2003 and September 2013 were evaluated. A toxic etiology was defined as a history of alcohol use and/or smoking. The pre-operative abdominal CT was evaluated for calcification(s) and main pancreatic duct (MPD) dilation (≥5 mm). The post-operative histopathology was evaluated for severe fibrosis. Clinical imaging and histopathologic features were evaluated as predictors of post-operative pain relief using univariable and multivariable regression analysis. A total of 60 patients (age 51.6 years, 53% males) were included in our study, of whom 42 (70%) reported post-operative pain relief over a mean follow-up of 1.1 years. There were 37 (62%) patients with toxic etiology, 36 (60%) each with calcification(s) and MPD dilation. A toxic etiology, calcifications, and severe fibrosis were associated with post-operative pain relief on univariable analysis (all p < 0.01). However, only a toxic etiology was an independent predictor of post-operative pain relief (OR 5.7, 95% CI 1.3, 24.5, p = 0.02). Only a toxic etiology, and not imaging or histopathologic findings, independently predicts post-operative pain relief in CP patients undergoing the Whipple or Frey procedure.

Modeling of geogenic radon in Switzerland based on ordered logistic regression.

PubMed

Kropat, Georg; Bochud, François; Murith, Christophe; Palacios Gruson, Martha; Baechler, Sébastien

2017-01-01

The estimation of the radon hazard of a future construction site should ideally be based on the geogenic radon potential (GRP), since this estimate is free of anthropogenic influences and building characteristics. The goal of this study was to evaluate terrestrial gamma dose rate (TGD), geology, fault lines and topsoil permeability as predictors for the creation of a GRP map based on logistic regression. Soil gas radon measurements (SRC) are more suited for the estimation of GRP than indoor radon measurements (IRC) since the former do not depend on ventilation and heating habits or building characteristics. However, SRC have only been measured at a few locations in Switzerland. In former studies a good correlation between spatial aggregates of IRC and SRC has been observed. That's why we used IRC measurements aggregated on a 10 km × 10 km grid to calibrate an ordered logistic regression model for geogenic radon potential (GRP). As predictors we took into account terrestrial gamma doserate, regrouped geological units, fault line density and the permeability of the soil. The classification success rate of the model results to 56% in case of the inclusion of all 4 predictor variables. Our results suggest that terrestrial gamma doserate and regrouped geological units are more suited to model GRP than fault line density and soil permeability. Ordered logistic regression is a promising tool for the modeling of GRP maps due to its simplicity and fast computation time. Future studies should account for additional variables to improve the modeling of high radon hazard in the Jura Mountains of Switzerland. Copyright © 2016 The Authors. Published by Elsevier Ltd.. All rights reserved.

Predictors of employment status of treated patients with DSM-III-R diagnosis. Can logistic regression model find a solution?

PubMed

Daradkeh, T K; Karim, L

1994-01-01

To investigate the predictors of employment status of patients with DSM-III-R diagnosis, 55 patients were selected by a simple random technique from the main psychiatric clinic in Al Ain, United Arab Emirates. Structured and formal assessments were carried out to extract the potential predictors of outcome of schizophrenia. Logistic regression model revealed that being married, absence of schizoid personality, free or with minimum symptoms of the illness, later age of onset, and higher educational attainment were the most significant predictors of employment outcome. The implications of the results of this study are discussed in the text.

Regional Distribution Models with Lack of Proximate Predictors: Africanized Honeybees Expanding North

NASA Technical Reports Server (NTRS)

Jarnevich, Catherine S.; Esaias, Wayne E.; Ma, Peter L. A.; Morisette, Jeffery T.; Nickeson, Jaime E.; Stohlgren, Thomas J.; Holcombe, Tracy R.; Nightingale, Joanne M.; Wolfe, Robert E.; Tan, Bin

2014-01-01

Species distribution models have often been hampered by poor local species data, reliance on coarse-scale climate predictors and the assumption that species-environment relationships, even with non-proximate predictors, are consistent across geographical space. Yet locally accurate maps of invasive species, such as the Africanized honeybee (AHB) in North America, are needed to support conservation efforts. Current AHB range maps are relatively coarse and are inconsistent with observed data. Our aim was to improve distribution maps using more proximate predictors (phenology) and using regional models rather than one across the entire range of interest to explore potential differences in drivers.

Regional distribution models with lack of proximate predictors: Africanized honeybees expanding north

USGS Publications Warehouse

Jarnevich, Catherine S.; Esaias, Wayne E.; Ma, Peter L.A.; Morisette, Jeffery T.; Nickeson, Jaime E.; Stohlgren, Thomas J.; Holcombe, Tracy R.; Nightingale, Joanne M.; Wolfe, Robert E.; Tan, Bin

2014-01-01

Species distribution models have often been hampered by poor local species data, reliance on coarse-scale climate predictors and the assumption that species–environment relationships, even with non-proximate predictors, are consistent across geographical space. Yet locally accurate maps of invasive species, such as the Africanized honeybee (AHB) in North America, are needed to support conservation efforts. Current AHB range maps are relatively coarse and are inconsistent with observed data. Our aim was to improve distribution maps using more proximate predictors (phenology) and using regional models rather than one across the entire range of interest to explore potential differences in drivers.

Percutaneous epiphysiodesis using transphyseal screws for limb-length discrepancies: high variability among growth predictor models.

PubMed

Monier, Bryan C; Aronsson, David D; Sun, Michael

2015-10-01

Percutaneous epiphysiodesis using transphyseal screws (PETS) was developed as a minimally invasive outpatient procedure to address limb-length discrepancy (LLD) that allowed immediate postoperative weight bearing and was potentially reversible by removing the screws. The aims of our study were to report our results using PETS for LLD and evaluate the accuracy of three growth predictor models. Sixteen patients with an average age of 14 years were treated for LLD using PETS. Thirteen patients had screws inserted in a parallel fashion and 3 had crossed screws. We compared the predicted LLD at skeletal maturity using the three growth predictor methods with the actual LLD at skeletal maturity and preoperative LLD with the final LLD at skeletal maturity. The mean LLD at skeletal maturity between the predicted and final measurements was 0.2 cm using the Green-Anderson method, 1.4 cm using the Moseley method, and -0.1 cm using the Paley method. The mean preoperative LLD of 3.1 cm was corrected to 1.7 cm at skeletal maturity (p < 0.001). Six patients complained of pain over the screw heads; however, no patient developed an infection or angular deformity. The three growth predictor methods predicted the final LLD within an average of 1.4 cm, but there was high variability. Although PETS improved the LLD by a mean of 1.4 cm, we believe the results would have been better if PETS was performed at an earlier skeletal age.

Alcohol-Approach Inclinations and Drinking Identity as Predictors of Behavioral Economic Demand for Alcohol

PubMed Central

Ramirez, Jason J.; Dennhardt, Ashley A.; Baldwin, Scott A.; Murphy, James G.; Lindgren, Kristen P.

2016-01-01

Behavioral economic demand curve indices of alcohol consumption reflect decisions to consume alcohol at varying costs. Although these indices predict alcohol-related problems beyond established predictors, little is known about the determinants of elevated demand. Two cognitive constructs that may underlie alcohol demand are alcohol-approach inclinations and drinking identity. The aim of this study was to evaluate implicit and explicit measures of these constructs as predictors of alcohol demand curve indices. College student drinkers (N = 223, 59% female) completed implicit and explicit measures of drinking identity and alcohol-approach inclinations at three timepoints separated by three-month intervals, and completed the Alcohol Purchase Task to assess demand at Time 3. Given no change in our alcohol-approach inclinations and drinking identity measures over time, random intercept-only models were used to predict two demand indices: Amplitude, which represents maximum hypothetical alcohol consumption and expenditures, and Persistence, which represents sensitivity to increasing prices. When modeled separately, implicit and explicit measures of drinking identity and alcohol-approach inclinations positively predicted demand indices. When implicit and explicit measures were included in the same model, both measures of drinking identity predicted Amplitude, but only explicit drinking identity predicted Persistence. In contrast, explicit measures of alcohol-approach inclinations, but not implicit measures, predicted both demand indices. Therefore, there was more support for explicit, versus implicit, measures as unique predictors of alcohol demand. Overall, drinking identity and alcohol-approach inclinations both exhibit positive associations with alcohol demand and represent potentially modifiable cognitive constructs that may underlie elevated demand in college student drinkers. PMID:27379444

Spatial patterns of air pollutants and social groups: a distributive environmental justice study in the phoenix metropolitan region of USA

NASA Astrophysics Data System (ADS)

Pope, Ronald; Wu, Jianguo; Boone, Christopher

2016-11-01

Quantifying spatial distribution patterns of air pollutants is imperative to understand environmental justice issues. Here we present a landscape-based hierarchical approach in which air pollution variables are regressed against population demographics on multiple spatiotemporal scales. Using this approach, we investigated the potential problem of distributive environmental justice in the Phoenix metropolitan region, focusing on ambient ozone and particulate matter. Pollution surfaces (maps) are evaluated against the demographics of class, age, race (African American, Native American), and ethnicity (Hispanic). A hierarchical multiple regression method is used to detect distributive environmental justice relationships. Our results show that significant relationships exist between the dependent and independent variables, signifying possible environmental inequity. Although changing spatiotemporal scales only altered the overall direction of these relationships in a few instances, it did cause the relationship to become nonsignificant in many cases. Several consistent patterns emerged: people aged 17 and under were significant predictors for ambient ozone and particulate matter, but people 65 and older were only predictors for ambient particulate matter. African Americans were strong predictors for ambient particulate matter, while Native Americans were strong predictors for ambient ozone. Hispanics had a strong negative correlation with ambient ozone, but a less consistent positive relationship with ambient particulate matter. Given the legacy conditions endured by minority racial and ethnic groups, and the relative lack of mobility of all the groups, our findings suggest the existence of environmental inequities in the Phoenix metropolitan region. The methodology developed in this study is generalizable with other pollutants to provide a multi-scaled perspective of environmental justice issues.

Therapeutic profile of single-fraction radiosurgery of vestibular schwannoma: unrelated malignancy predicts tumor control

PubMed Central

Wowra, Berndt; Muacevic, Alexander; Fürweger, Christoph; Schichor, Christian; Tonn, Jörg-Christian

2012-01-01

Radiosurgery has become an accepted treatment option for vestibular schwannomas. Nevertheless, predictors of tumor control and treatment toxicity in current radiosurgery of vestibular schwannomas are not well understood. To generate new information on predictors of tumor control and cranial nerve toxicity of single-fraction radiosurgery of vestibular schwannomas, we conducted a single-institution long-term observational study of radiosurgery for sporadic vestibular schwannomas. Minimum follow-up was 3 years. Investigated as potential predictors of tumor control and cranial nerve toxicity were treatment technology; tumor resection preceding radiosurgery; tumor size; gender; patient age; history of cancer, vascular disease, or metabolic disease; tumor volume; radiosurgical prescription dose; and isodose line. Three hundred eighty-six patients met inclusion criteria. Treatment failure was observed in 27 patients. History of unrelated cancer (strongest predictor) and prescription dose significantly predicted tumor control. The cumulative incidence of treatment failure was 30% after 6.5 years in patients with unrelated malignancy and 10% after ≥15 years in patients without such cancer (P < .02). Tumor volume was the only predictor of trigeminal neuropathy (observed in 6 patients). No predictor of facial nerve toxicity was found. On the House and Brackmann scale, 1 patient had a permanent one-level drop and 7 a transient drop of 1 to 3 levels. Serviceable hearing was preserved in 75.1%. Tumor hearing before radiosurgery, recurrence, and prescription isodose predicted ototoxicity. Unrelated malignancy is a strong predictor of tumor control. Tumor recurrence predominantly predicts ototoxicity. These findings potentially will aid future clinical decision making in ambiguous cases. PMID:22561798

Environmental Controls on Multi-Scale Soil Nutrient Variability in the Tropics: the Importance of Land-Cover Change

NASA Astrophysics Data System (ADS)

Holmes, K. W.; Kyriakidis, P. C.; Chadwick, O. A.; Matricardi, E.; Soares, J. V.; Roberts, D. A.

2003-12-01

The natural controls on soil variability and the spatial scales at which correlation exists among soil and environmental variables are critical information for evaluating the effects of deforestation. We detect different spatial scales of variability in soil nutrient levels over a large region (hundreds of thousands of km2) in the Amazon, analyze correlations among soil properties at these different scales, and evaluate scale-specific relationships among soil properties and the factors potentially driving soil development. Statistical relationships among physical drivers of soil formation, namely geology, precipitation, terrain attributes, classified soil types, and land cover derived from remote sensing, were included to determine which factors are related to soil biogeochemistry at each spatial scale. Surface and subsurface soil profile data from a 3000 sample database collected in Rond“nia, Brazil, were used to investigate patterns in pH, phosphorus, nitrogen, organic carbon, effective cation exchange capacity, calcium, magnesium, potassium, aluminum, sand, and clay in this environment grading from closed canopy tropical forest to savanna. We focus on pH in this presentation for simplicity, because pH is the single most important soil characteristic for determining the chemical environment of higher plants and soil microbial activity. We determined four spatial scales which characterize integrated patterns of soil chemistry: less than 3 km; 3 to 10 km; 10 to 68 km; and from 68 to 550 km (extent of study area). Although the finest observable scale was fixed by the field sampling density, the coarser scales were determined from relationships in the data through coregionalization modeling, rather than being imposed by the researcher. Processes which affect soils over short distances, such as land cover and terrain attributes, were good predictors of fine scale spatial components of nutrients; processes which affect soils over very large distances, such as precipitation and geology, were better predictors at coarse spatial scales. However, this result may be affected by the resolution of the available predictor maps. Land-cover change exerted a strong influence on soil chemistry at fine spatial scales, and had progressively less of an effect at coarser scales. It is important to note that land cover, and interactions among land cover and the other predictors, continued to be a significant predictor of soil chemistry at every spatial scale up to hundreds of thousands of kilometers.

National Trends and Predictors of Androgen Deprivation Therapy Use in Low-Risk Prostate Cancer

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

Yang, David D.; Muralidhar, Vinayak; Brigham and Women's Hospital, Boston, Massachusetts

Purpose: Androgen deprivation therapy (ADT) is not recommended for low-risk prostate cancer because of its lack of benefit and potential for harm. We evaluated the incidence and predictors of ADT use in low-risk disease. Methods and Materials: Using the National Cancer Database, we identified 197,957 patients with low-risk prostate cancer (Gleason score of 3 + 3 = 6, prostate-specific antigen level <10 ng/mL, and cT1-T2a) diagnosed from 2004 to 2012 with complete demographic and treatment information. We used multiple logistic regression to evaluate predictors of ADT use and Cox regression to examine its association with all-cause mortality. Results: Overall ADT use decreased from 17.6% in 2004more » to 3.5% in 2012. In 2012, 11.5% of low-risk brachytherapy patients and 7.6% of external beam radiation therapy patients received ADT. Among 82,352 irradiation-managed patients, predictors of ADT use included treatment in a community versus academic cancer program (adjusted odds ratio [AOR], 1.60; 95% confidence interval [CI], 1.50-1.71; P<.001; incidence, 14.0% vs 6.0% in 2012); treatment in the South (AOR, 1.51), Midwest (AOR, 1.81), or Northeast (AOR, 1.90) versus West (P<.001); and brachytherapy use versus external beam radiation therapy (AOR, 1.32; 95% CI, 1.27-1.37; P<.001). Among 25,196 patients who did not receive local therapy, predictors of primary ADT use included a Charlson-Deyo comorbidity score of ≥2 versus 0 (AOR, 1.42; 95% CI, 1.06-1.91; P=.018); treatment in a community versus academic cancer program (AOR, 1.61; 95% CI, 1.37-1.90; P<.001); and treatment in the South (AOR, 1.26), Midwest (AOR, 1.52), or Northeast (AOR, 1.28) versus West (P≤.008). Primary ADT use was associated with increased all-cause mortality in patients who did not receive local therapy (adjusted hazard ratio, 1.28; 95% CI, 1.14-1.43; P<.001) after adjustment for age and comorbidity. Conclusions: ADT use in low-risk prostate cancer has declined nationally but may remain an issue of concern in certain populations and regions.« less

Predictors of Adult Attitudes toward Corporal Punishment of Children

ERIC Educational Resources Information Center

Gagne, Marie-Helene; Tourigny, Marc; Joly, Jacques; Pouliot-Lapointe, Joelle

2007-01-01

This study identifies predictors of favorable attitudes toward spanking. Analyses were performed with survey data collected from a representative sample of 1,000 adults from Quebec, Canada. According to this survey, a majority of respondents endorsed spanking, despite their recognition of potential harm associated with corporal punishment (CP) of…

Predictors and Moderators of Psychological Distress in Mothers of Children with Pervasive Developmental Disorders

ERIC Educational Resources Information Center

Tobing, Lauren E.; Glenwick, David S.

2006-01-01

This study explored potential predictors of psychological distress and moderators of the relation between parenting stress and psychological distress in mothers of children with pervasive developmental disorders (PDDs). Ninety-seven mothers of children diagnosed with autism spectrum disorders completed measures assessing children's functional…

Predictors of Youth Violence. Juvenile Justice Bulletin.

ERIC Educational Resources Information Center

Hawkins, J. David; Herrenkohl, Todd I.; Farrington, David P.; Brewer, Devon; Catalano, Richard F.; Harachi, Tracy W.; Cothern, Lynn

This Bulletin describes the strength and duration of changeable risk and protective factors for youth violence at points in youth development when they appear most salient. These predictors are potential targets for prevention and intervention. The quantitative results of a large number of studies were synthesized using meta-analysis procedures.…

Are We All in the Same Boat? The Role of Perceptual Distance in Organizational Health Interventions.

PubMed

Hasson, Henna; von Thiele Schwarz, Ulrica; Nielsen, Karina; Tafvelin, Susanne

2016-10-01

The study investigates how agreement between leaders' and their team's perceptions influence intervention outcomes in a leadership-training intervention aimed at improving organizational learning. Agreement, i.e. perceptual distance was calculated for the organizational learning dimensions at baseline. Changes in the dimensions from pre-intervention to post-intervention were evaluated using polynomial regression analysis with response surface analysis. The general pattern of the results indicated that the organizational learning improved when leaders and their teams agreed on the level of organizational learning prior to the intervention. The improvement was greatest when the leader's and the team's perceptions at baseline were aligned and high rather than aligned and low. The least beneficial scenario was when the leader's perceptions were higher than the team's perceptions. These results give insights into the importance of comparing leaders' and their team's perceptions in intervention research. Polynomial regression analyses with response surface methodology allow three-dimensional examination of relationship between two predictor variables and an outcome. This contributes with knowledge on how combination of predictor variables may affect outcome and allows studies of potential non-linearity relating to the outcome. Future studies could use these methods in process evaluation of interventions. Copyright © 2016 John Wiley & Sons, Ltd. Copyright © 2016 John Wiley & Sons, Ltd.

Identification of predictor parameters to determine agro-industrial compost suppressiveness against Fusarium oxysporum and Phytophthora capsici diseases in muskmelon and pepper seedlings.

PubMed

Blaya, Josefa; Lloret, Eva; Ros, Margarita; Pascual, Jose Antonio

2015-05-01

The lack of reliable prediction tools for evaluation of the level and specificity of compost suppressiveness limits its application. In our study, different chemical, biological and microbiological parameters were used to evaluate their potential use as a predictor parameter for the suppressive effect of composts against Fusarium oxysporum f. sp. melonis (FOM) and Phytophthora capsici (P. capsici) in muskmelon and pepper seedlings respectively. Composts were obtained from artichoke sludge, chopped vineyard pruning waste and various agro-industrial wastes (C1: blanched artichokes; C2: garlic waste; C3: dry olive cake). Compost C3 proved to offer the highest level of resistance against FOM, and compost C2 the highest level of resistance against P. capsici. Analysis of phospholipid fatty acids isolated from compost revealed that the three composts showed different microbial community structures. Protease, NAGase and chitinase activities were significantly higher in compost C3, as was dehydrogenase activity in compost C2. The use of specific parameters such as general (dehydrogenase activity) and specific enzymatic activities (protease, NAGase and chitinase activities) may be useful to predict compost suppressiveness against both pathogens. The selection of raw materials for agro-industrial composts is important in controlling Fusarium wilt and Phytophthora root rot. © 2014 Society of Chemical Industry.

Predictors of workplace violence among ambulance personnel: a longitudinal study.

PubMed

van der Velden, Peter G; Bosmans, Mark W G; van der Meulen, Erik

2016-04-01

To examine predictors of repeated confrontations with workplace violence among ambulance personnel, the proportion of exposure to potentially traumatic events that are aggression-related and to what extent personnel was able to prevent escalations. Although previous research assessed the prevalences among this group, little is known about predictors, to what extent PTE's are WPV-related and their abilities to prevent escalations. A longitudinal study with a 6 months' time interval ( N  =   103). At T1 demographics, workplace violence and potentially traumatic events in the past year, mental health, personality, handling of rules, coping and social organizational stressors were assessed. Confrontations with aggression were also examined at T2. Multivariate logistic regression analyses showed that only problems with superiors independently predicted repeated verbal aggression and that only the (absence of the) ability to compromise very easily predicted repeatedly being on guard and repeatedly confronted with any form of aggression. Due to very low prevalences, we could not examine predictors of repeated confrontations with physical aggression ( N  =   5) and serious threat ( N  =   7). A large majority reported that in most workplace violence cases they could prevent further escalations. About 2% reported a potentially traumatic event in the year before T1 that was WPV related and perceived as very stressful.

Moving Beyond Conventional Clinical Trial End Points in Treatment-refractory Metastatic Colorectal Cancer: A Composite Quality-of-life and Symptom Control End Point.

PubMed

Gong, Jun; Wu, Daniel; Chuang, Jeremy; Tuli, Richard; Simard, John; Hendifar, Andrew

2017-11-01

This review highlights the evidence supporting symptom control and quality-of-life (QOL) measures as predictors of survival in treatment-refractory metastatic colorectal cancer (mCRC) and describes a composite symptom control and QOL end point recently reported in a Phase III trial that may serve as a more reasonable end point of efficacy in this population. A literature search was conducted using MEDLINE to identify clinical studies (including case series and observational, retrospective, and prospective studies) that reported the predictive value of QOL measures for survival in mCRC. The search was limited by the following key words: quality of life, survival, and colorectal cancer. We then performed a second search limited to studies of randomized and Phase III design in mCRC to identify studies that used QOL assessments as their primary end points. A manual search was also performed to include additional studies of potential relevance. There is increasing evidence to support that symptom control and QOL measures are predictors of survival in treatment-refractory mCRC and can serve as an alternative but equally as important end point to survival in this population. A recent large, randomized Phase III trial using a composite primary end point of lean body mass, pain, anorexia, and fatigue reported the feasibility in evaluating benefit in mCRC beyond conventional clinical trial end points. Future studies in treatment-refractory mCRC may be better served by evaluating improvement in symptom control and QOL, which may otherwise serve as the best predictor of survival in last-line treatment settings. Copyright © 2017 Elsevier HS Journals, Inc. All rights reserved.

Depression is a predictor for balance in people with multiple sclerosis.

PubMed

Alghwiri, Alia A; Khalil, Hanan; Al-Sharman, Alham; El-Salem, Khalid

2018-05-26

Balance impairments are common and multifactorial among people with multiple sclerosis (MS). Depression is the most common psychological disorder in MS population and is strongly correlated with MS disease. Depression might be one of the factors that contribute to balance deficits in this population. However, the relationship between depression and balance impairments has not been explored in people with MS. To investigate the association between depression and balance impairments in people with MS. Cross sectional design was used in patients with MS. The Activities-specific Balance Confidence scale (ABC) and Berg Balance Scale (BBS) was used to assess balance. Beck Depression Inventory (BDI-II) was used to quantify depression and Kurtizki Expanded Disability Status Scale (EDSS) was utilized for the evaluation of MS disability severity. Pearson correlation coefficient was used to examine the association between depression and balance measurements. Multiple linear stepwise regressions were also conducted to find out if depression is a potential predictor for balance deficits. Seventy-five individuals with MS (Female = 69%) with a mean age (SD) of 38.8 (10) and a mean (SD) EDSS score of 3.0 (1.4) were recruited in this study. Depression was present in 53% of the patients. Depression was significantly correlated with balance measurements and EDSS. However, multiple linear stepwise regressions found that only depression and age significantly predict balance. Depression and balance were found frequent and associated in people with MS. Importantly depression was a significant predictor for balance impairments in individuals with MS. Balance rehabilitation may be hindered by depression. Therefore, depression should be evaluated and treated properly in individuals with MS. Copyright © 2018 Elsevier B.V. All rights reserved.

Satisfaction with web-based training in an integrated healthcare delivery network: do age, education, computer skills and attitudes matter?

PubMed Central

Atreja, Ashish; Mehta, Neil B; Jain, Anil K; Harris, CM; Ishwaran, Hemant; Avital, Michel; Fishleder, Andrew J

2008-01-01

Background Healthcare institutions spend enormous time and effort to train their workforce. Web-based training can potentially streamline this process. However the deployment of web-based training in a large-scale setting with a diverse healthcare workforce has not been evaluated. The aim of this study was to evaluate the satisfaction of healthcare professionals with web-based training and to determine the predictors of such satisfaction including age, education status and computer proficiency. Methods Observational, cross-sectional survey of healthcare professionals from six hospital systems in an integrated delivery network. We measured overall satisfaction to web-based training and response to survey items measuring Website Usability, Course Usefulness, Instructional Design Effectiveness, Computer Proficiency and Self-learning Attitude. Results A total of 17,891 healthcare professionals completed the web-based training on HIPAA Privacy Rule; and of these, 13,537 completed the survey (response rate 75.6%). Overall course satisfaction was good (median, 4; scale, 1 to 5) with more than 75% of the respondents satisfied with the training (rating 4 or 5) and 65% preferring web-based training over traditional instructor-led training (rating 4 or 5). Multivariable ordinal regression revealed 3 key predictors of satisfaction with web-based training: Instructional Design Effectiveness, Website Usability and Course Usefulness. Demographic predictors such as gender, age and education did not have an effect on satisfaction. Conclusion The study shows that web-based training when tailored to learners' background, is perceived as a satisfactory mode of learning by an interdisciplinary group of healthcare professionals, irrespective of age, education level or prior computer experience. Future studies should aim to measure the long-term outcomes of web-based training. PMID:18922178

Urinary biomarkers of occupational jet fuel exposure among Air Force personnel.

PubMed

Smith, Kristen W; Proctor, Susan P; Ozonoff, A L; McClean, Michael D

2012-01-01

There is a potential for widespread occupational exposure to jet fuel among military and civilian personnel. Urinary metabolites of naphthalene have been suggested for use as short-term biomarkers of exposure to jet fuel (jet propulsion fuel 8 (JP8)). In this study, urinary biomarkers of JP8 were evaluated among US Air Force personnel. Personnel (n=24) were divided a priori into high, moderate, and low exposure groups. Pre- and post-shift urine samples were collected from each worker over three workdays and analyzed for metabolites of naphthalene (1- and 2-naphthol). Questionnaires and breathing-zone naphthalene samples were collected from each worker during the same workdays. Linear mixed-effects models were used to evaluate the exposure data. Post-shift levels of 1- and 2-naphthol varied significantly by a priori exposure group (levels in high group>moderate group>low group), and breathing-zone naphthalene was a significant predictor of post-shift levels of 1- and 2-naphthol, indicating that for every unit increase in breathing-zone naphthalene, there was an increase in naphthol levels. These results indicate that post-shift levels of urinary 1- and 2-naphthol reflect JP8 exposure during the work-shift and may be useful surrogates of JP8 exposure. Among the high exposed workers, significant job-related predictors of post-shift levels of 1- and 2-naphthol included entering the fuel tank, repairing leaks, direct skin contact with JP8, and not wearing gloves during the work-shift. The job-related predictors of 1- and 2-naphthol emphasize the importance of reducing inhalation and dermal exposure through the use of personal protective equipment while working in an environment with JP8.

Characterization of inhalation exposure to jet fuel among U.S. Air Force personnel.

PubMed

Merchant-Borna, Kian; Rodrigues, Ema G; Smith, Kristen W; Proctor, Susan P; McClean, Michael D

2012-07-01

Jet propulsion fuel-8 (JP-8) is the primary jet fuel used by the US military, collectively consuming ~2.5 billion gallons annually. Previous reports suggest that JP-8 is potentially toxic to the immune, respiratory, and nervous systems. The objectives of this study were to evaluate inhalation exposure to JP-8 constituents among active duty United States Air Force (USAF) personnel while performing job-related tasks, identify significant predictors of inhalation exposure to JP-8, and evaluate the extent to which surrogate exposure classifications were predictive of measured JP-8 exposures. Seventy-three full-time USAF personnel from three different air force bases were monitored during four consecutive workdays where personal air samples were collected and analyzed for benzene, ethylbenzene, toluene, xylenes, total hydrocarbons (THC), and naphthalene. The participants were categorized a priori into high- and low-exposure groups, based on their exposure to JP-8 during their typical workday. Additional JP-8 exposure categories included job title groups and self-reported exposure to JP-8. Linear mixed-effects models were used to evaluate predictors of personal air concentrations. The concentrations of THC in air were significantly different between a priori exposure groups (2.6 mg m(-3) in high group versus 0.5 mg m(-3) in low, P < 0.0001), with similar differences observed for other analytes in air. Naphthalene was strongly correlated with THC (r = 0.82, P < 0.0001) and both were positively correlated with the relative humidity of the work environment. Exposures to THC and naphthalene varied significantly by job categories based on USAF specialty codes and were highest among personnel working in fuel distribution/maintenance, though self-reported exposure to JP-8 was an even stronger predictor of measured exposure in models that explained 72% (THC) and 67% (naphthalene) of between-worker variability. In fact, both self-report JP-8 exposure and a priori exposure groups explained more between-worker variability than job categories. Personal exposure to JP-8 varied by job and was positively associated with the relative humidity. However, self-reported exposure to JP-8 was an even stronger predictor of measured exposure than job title categories, suggesting that self-reported JP-8 exposure is a valid surrogate metric of exposure when personal air measurements are not available.

My Pride and Joy? Predicting Favoritism and Disfavoritism in Mother-Adult Child Relations.

PubMed

Suitor, J Jill; Gilligan, Megan; Peng, Siyun; Con, Gulcin; Rurka, Marissa; Pillemer, Karl

2016-08-01

In this article, we compare predictors of mothers' differentiation among their adult children regarding emotional closeness, pride, conflict, and disappointment. We distinguish between predictors of relational (closeness, conflict) and evaluative (pride, disappointment) dimensions of favoritism and disfavoritism. Multilevel modeling using data collected from 381 older mothers regarding their relationships with 1,421 adult children indicated that adult children's similarity of values played the most prominent role in predicting mothers' favoritism and disfavoritism, followed by children's gender. Children's deviant behaviors in adulthood predicted both pride and disappointment but neither relational dimension. Contrary to expectations, the quantitative analysis indicated that children's normative adult achievements were poor predictors of both relational and evaluative dimensions of mothers' differentiation. Qualitative data shed additional light on mothers' evaluations by revealing that disappointment was shaped by children's achievements relative to their mothers' values and expectations, rather than by the achievement of specific societal, educational, career, and marital milestones.

Validation of the respiratory toxics exposure score (RTES) for chronic obstructive pulmonary disease screening.

PubMed

Salameh, Pascale; Khayat, Georges; Waked, Mirna

2011-12-01

Our aim is to evaluate the validity of exhaled carbon monoxide (CO) and of a newly-created score as markers of Chronic Obstructive Pulmonary Disease (COPD). The CO level was measured in a derivation subsample of a cross-sectional study and linked to COPD diagnosis; its predictors were evaluated, and a scale was constructed. It was evaluated in a validation subsample and in a clinical setting. Individuals with COPD had higher CO levels than healthy individuals. CO level significant predictors were cigarettes per day, waterpipes per week, lower age, male gender, living close to diesel exhaust, heating home with the use of diesel, and having indoor family smokers. A score composed of CO predictors was able to significantly predict COPD (Ora = 4-7.5). Coupled with the clinical judgment of physicians, this scale would be an excellent low-cost tool for screening COPD, in absence of spirometry.

The relative importance of physicochemical factors to stream biological condition in urbanizing basins: Evidence from multimodel inference

USGS Publications Warehouse

Carlisle, Daren M.; Bryant, Wade L.

2011-01-01

Many physicochemical factors potentially impair stream ecosystems in urbanizing basins, but few studies have evaluated their relative importance simultaneously, especially in different environmental settings. We used data collected in 25 to 30 streams along a gradient of urbanization in each of 6 metropolitan areas (MAs) to evaluate the relative importance of 11 physicochemical factors on the condition of algal, macroinvertebrate, and fish assemblages. For each assemblage, biological condition was quantified using 2 separate metrics, nonmetric multidimensional scaling ordination site scores and the ratio of observed/expected taxa, both derived in previous studies. Separate linear regression models with 1 or 2 factors as predictors were developed for each MA and assemblage metric. Model parsimony was evaluated based on Akaike’s Information Criterion for small sample size (AICc) and Akaike weights, and variable importance was estimated by summing the Akaike weights across models containing each stressor variable. Few of the factors were strongly correlated (Pearson |r| > 0.7) within MAs. Physicochemical factors explained 17 to 81% of variance in biological condition. Most (92 of 118) of the most plausible models contained 2 predictors, and generally more variance could be explained by the additive effects of 2 factors than by any single factor alone. None of the factors evaluated was universally important for all MAs or biological assemblages. The relative importance of factors varied for different measures of biological condition, biological assemblages, and MA. Our results suggest that the suite of physicochemical factors affecting urban stream ecosystems varies across broad geographic areas, along gradients of urban intensity, and among basins within single MAs.

Data quality assurance and control in cognitive research: Lessons learned from the PREDICT-HD study.

PubMed

Westervelt, Holly James; Bernier, Rachel A; Faust, Melanie; Gover, Mary; Bockholt, H Jeremy; Zschiegner, Roland; Long, Jeffrey D; Paulsen, Jane S

2017-09-01

We discuss the strategies employed in data quality control and quality assurance for the cognitive core of Neurobiological Predictors of Huntington's Disease (PREDICT-HD), a long-term observational study of over 1,000 participants with prodromal Huntington disease. In particular, we provide details regarding the training and continual evaluation of cognitive examiners, methods for error corrections, and strategies to minimize errors in the data. We present five important lessons learned to help other researchers avoid certain assumptions that could potentially lead to inaccuracies in their cognitive data. Copyright © 2017 John Wiley & Sons, Ltd.

Neighborhood Sociodemographic Predictors of Serious Emotional Disturbance (SED) in Schools: Demonstrating a Small Area Estimation Method in the National Comorbidity Survey (NCS-A) Adolescent Supplement

PubMed Central

Alegría, Margarita; Kessler, Ronald C.; McLaughlin, Katie A.; Gruber, Michael J.; Sampson, Nancy A.; Zaslavsky, Alan M.

2014-01-01

We evaluate the precision of a model estimating school prevalence of SED using a small area estimation method based on readily-available predictors from area-level census block data and school principal questionnaires. Adolescents at 314 schools participated in the National Comorbidity Supplement, a national survey of DSM-IV disorders among adolescents. A multilevel model indicated that predictors accounted for under half of the variance in school-level SED and even less when considering block-group predictors or principal report alone. While Census measures and principal questionnaires are significant predictors of individual-level SED, associations are too weak to generate precise school-level predictions of SED prevalence. PMID:24740174

Lack of regular exercise, depression, and degree of apnea are predictors of excessive daytime sleepiness in patients with sleep apnea: sex differences.

PubMed

Basta, Maria; Lin, Hung-Mo; Pejovic, Slobodanka; Sarrigiannidis, Alexios; Bixler, Edward; Vgontzas, Alexandros N

2008-02-15

Apnea, depression, and metabolic abnormalities are independent predictors of excessive daytime sleepiness (EDS) in patients with sleep apnea. Exercise is beneficial for apnea, depression, and metabolic abnormalities; however, its association with EDS is not known. To evaluate the contribution of lack of regular exercise, depression, and apnea severity on daytime sleepiness in patients with sleep apnea. One thousand one hundred six consecutive patients (741 men and 365 women) referred to the sleep disorders clinic for symptoms consistent with sleep apnea. Daytime sleepiness was assessed with the Epworth Sleepiness Scale and activity was evaluated with a quantifiable Physical Activity Questionnaire. Compared with women, men had a higher apnea hypopnea index (AHI) (40.4 +/- 1.2 vs 31.0 +/- 1.8), lower body mass index (BMI) (35.3 +/- 0.3 kg/m2 vs 39.6 +/- 0.5 kg/m2), and higher rate of regular exercise (39.1% vs 28.8%) ( p < 0.05). Linear regression analysis of the total sample after adjusting for age, BMI, sex, central nervous system medication, and diabetes showed that logAHI, depression, and lack of regular exercise were significant predictors of sleepiness. Predictors of mild or moderate sleepiness for both sexes were depression and logAHI, whereas predictors of severe sleepiness for men were lack of regular exercise, depression, and minimum SaO2 and, for women, logAHI. In obese apneic patients, lack of regular exercise (only in men), depression, and degree of apnea are significant predictors of EDS. This association is modified by sex and degree of sleepiness. Assessment and management of depression and physical exercise should be part of a thorough evaluation of patients with sleep apnea.

Preoperative short hookwire placement for small pulmonary lesions: evaluation of technical success and risk factors for initial placement failure.

PubMed

Iguchi, Toshihiro; Hiraki, Takao; Matsui, Yusuke; Fujiwara, Hiroyasu; Masaoka, Yoshihisa; Tanaka, Takashi; Sato, Takuya; Gobara, Hideo; Toyooka, Shinichi; Kanazawa, Susumu

2018-05-01

To retrospectively evaluate the technical success of computed tomography fluoroscopy-guided short hookwire placement before video-assisted thoracoscopic surgery and to identify the risk factors for initial placement failure. In total, 401 short hookwire placements for 401 lesions (mean diameter 9.3 mm) were reviewed. Technical success was defined as correct positioning of the hookwire. Possible risk factors for initial placement failure (i.e., requirement for placement of an additional hookwire or to abort the attempt) were evaluated using logistic regression analysis for all procedures, and for procedures performed via the conventional route separately. Of the 401 initial placements, 383 were successful and 18 failed. Short hookwires were finally placed for 399 of 401 lesions (99.5%). Univariate logistic regression analyses revealed that in all 401 procedures only the transfissural approach was a significant independent predictor of initial placement failure (odds ratio, OR, 15.326; 95% confidence interval, CI, 5.429-43.267; p < 0.001) and for the 374 procedures performed via the conventional route only lesion size was a significant independent predictor of failure (OR 0.793, 95% CI 0.631-0.996; p = 0.046). The technical success of preoperative short hookwire placement was extremely high. The transfissural approach was a predictor initial placement failure for all procedures and small lesion size was a predictor of initial placement failure for procedures performed via the conventional route. • Technical success of preoperative short hookwire placement was extremely high. • The transfissural approach was a significant independent predictor of initial placement failure for all procedures. • Small lesion size was a significant independent predictor of initial placement failure for procedures performed via the conventional route.

Systematic bias in genomic classification due to contaminating non-neoplastic tissue in breast tumor samples.

PubMed

Elloumi, Fathi; Hu, Zhiyuan; Li, Yan; Parker, Joel S; Gulley, Margaret L; Amos, Keith D; Troester, Melissa A

2011-06-30

Genomic tests are available to predict breast cancer recurrence and to guide clinical decision making. These predictors provide recurrence risk scores along with a measure of uncertainty, usually a confidence interval. The confidence interval conveys random error and not systematic bias. Standard tumor sampling methods make this problematic, as it is common to have a substantial proportion (typically 30-50%) of a tumor sample comprised of histologically benign tissue. This "normal" tissue could represent a source of non-random error or systematic bias in genomic classification. To assess the performance characteristics of genomic classification to systematic error from normal contamination, we collected 55 tumor samples and paired tumor-adjacent normal tissue. Using genomic signatures from the tumor and paired normal, we evaluated how increasing normal contamination altered recurrence risk scores for various genomic predictors. Simulations of normal tissue contamination caused misclassification of tumors in all predictors evaluated, but different breast cancer predictors showed different types of vulnerability to normal tissue bias. While two predictors had unpredictable direction of bias (either higher or lower risk of relapse resulted from normal contamination), one signature showed predictable direction of normal tissue effects. Due to this predictable direction of effect, this signature (the PAM50) was adjusted for normal tissue contamination and these corrections improved sensitivity and negative predictive value. For all three assays quality control standards and/or appropriate bias adjustment strategies can be used to improve assay reliability. Normal tissue sampled concurrently with tumor is an important source of bias in breast genomic predictors. All genomic predictors show some sensitivity to normal tissue contamination and ideal strategies for mitigating this bias vary depending upon the particular genes and computational methods used in the predictor.

Predictors factors for post-thyroidectomy hypocalcaemia.

PubMed

Sousa, Alexandre de Andrade; Salles, José Maria Porcaro; Soares, João Marcos Arantes; Moraes, Gustavo Meyer de; Carvalho, Jomar Rezende; Savassi-Rocha, Paulo Roberto

2012-12-01

To evaluate the incidence and predictors of post-thyroidectomy definitive hypocalcemia and hypoparathyroidism. We assessed ionic calcium preoperatively and postoperatively (first, second and 30th day) in 333 patients undergoing thyroidectomy. In those presenting hypocalcemia, measurements were also made 90 and 180 days after surgery, when parathormone was also dosed. Patients were grouped according to the presence or absence of hypocalcemia and evaluated according to age, gender, thyroid function, thyroid volume, number of parathyroid glands identified and need to parathyroid reimplantation, type of operation, operative time, and histopathological diagnosis. The incidence of temporary hypocalcemia was 40.8% (136 patients), and of definitive hypoparathyroidism 4.2% (14 patients). Reoperation or total thyroidectomy, neck dissection, hyperthyroidism, operative time and age above 50 years were factors related to higher incidence of hypocalcemia and definitive hypoparathyroidism (p <0.05). predictors of postoperative hypocalcemia included age (> 50 years), total thyroidectomy, reoperation, neck dissection and operative time. The predictors of post-thyroidectomy definitive hypoparathyroidism included type of operation, histological diagnosis and hyperthyroidism.

Crop weather models of corn and soybeans for Agrophysical Units (APU's) in Iowa using monthly meteorological predictors

NASA Technical Reports Server (NTRS)

Leduc, S. (Principal Investigator)

1982-01-01

Models based on multiple regression were developed to estimate corn and soybean yield from weather data for agrophysical units (APU) in Iowa. The predictor variables are derived from monthly average temperature and monthly total precipitation data at meteorological stations in the cooperative network. The models are similar in form to the previous models developed for crop reporting districts (CRD). The trends and derived variables were the same and the approach to select the significant predictors was similar to that used in developing the CRD models. The APU's were selected to be more homogeneous with respect crop to production than the CRDs. The APU models are quite similar to the CRD models, similar explained variation and number of predictor variables. The APU models are to be independently evaluated and compared to the previously evaluated CRD models. That comparison should indicate the preferred model area for this application, i.e., APU or CRD.

Tumor Budding and PDC Grade Are Stage Independent Predictors of Clinical Outcome in Mismatch Repair Deficient Colorectal Cancer.

PubMed

Ryan, Éanna; Khaw, Yi Ling; Creavin, Ben; Geraghty, Robert; Ryan, Elizabeth J; Gibbons, David; Hanly, Ann; Martin, Sean T; O'Connell, P Ronan; Winter, Desmond C; Sheahan, Kieran

2018-01-01

Mismatch repair deficient (dMMR) colorectal cancer (CRC) despite its association with poor histologic grade often has improved prognosis compared with MMR proficient CRC. Tumor budding and poorly differentiated clusters (PDCs) may predict metastatic potential of colorectal adenocarcinoma (CRC). In addition, their assessment may be more reproducible than the evaluation of other histopathologic parameters. Therefore, we wished to determine their potential as prognostic indicators in a cohort of dMMR CRC patients relative to histologic grade. We investigated the predictive value of conventional WHO grade, budding, PDC grade and other histopathologic parameters on the presence of lymph node metastasis (LNM) and clinical outcome in 238 dMMR CRCs. MMR status was determined by immunohistochemistry for the mismatch repair proteins hMLH1, hMSH2, hMSH6, and hPMS2. Tumor budding and PDCs were highly correlated (r=0.701; P<0.000). Both budding and PDC grade were associated with WHO grade, perineural invasion, lympho-vascular invasion, and extramural vascular invasion, and the presence of LNM in dMMR CRC (P<0.009). Independent predictors of LNM were PDC grade (odds ratio, 4.12; 95% confidence interval [CI], 1.69-10.04; P=0.011) and EMVI (odds ratio, 3.81; 95% CI, 1.56-9.19; P<0.000). Only pTstage (hazard ratio [HR], 4.11; 95% CI, 1.48-11.36; P=0.007) and tumor budding (HR, 2.99; 95% CI, 1.72-5.19; P<0.000) were independently associated with worse disease-free survival (DFS). If tumor budding was excluded from the model, PDC grade became significant for DFS (HR, 2.34; 95% CI, 1.34-4.09; P=0.003). WHO Grade does not independently correlate with clinical outcome in dMMR CRC. PDC grade and extramural vascular invasion are independent predictors of LNM. Tumor budding and pTstage are the best predictors of DFS. If tumor budding cannot be assessed, PDC grade may be used as a prognostic surrogate.

Early identification of patients requiring massive transfusion, embolization, or hemostatic surgery for traumatic hemorrhage: a systematic review protocol.

PubMed

Tran, Alexandre; Matar, Maher; Steyerberg, Ewout W; Lampron, Jacinthe; Taljaard, Monica; Vaillancourt, Christian

2017-04-13

Hemorrhage is a major cause of early mortality following a traumatic injury. The progression and consequences of significant blood loss occur quickly as death from hemorrhagic shock or exsanguination often occurs within the first few hours. The mainstay of treatment therefore involves early identification of patients at risk for hemorrhagic shock in order to provide blood products and control of the bleeding source if necessary. The intended scope of this review is to identify and assess combinations of predictors informing therapeutic decision-making for clinicians during the initial trauma assessment. The primary objective of this systematic review is to identify and critically assess any existing multivariable models predicting significant traumatic hemorrhage that requires intervention, defined as a composite outcome comprising massive transfusion, surgery for hemostasis, or angiography with embolization for the purpose of external validation or updating in other study populations. If no suitable existing multivariable models are identified, the secondary objective is to identify candidate predictors to inform the development of a new prediction rule. We will search the EMBASE and MEDLINE databases for all randomized controlled trials and prospective and retrospective cohort studies developing or validating predictors of intervention for traumatic hemorrhage in adult patients 16 years of age or older. Eligible predictors must be available to the clinician during the first hour of trauma resuscitation and may be clinical, lab-based, or imaging-based. Outcomes of interest include the need for surgical intervention, angiographic embolization, or massive transfusion within the first 24 h. Data extraction will be performed independently by two reviewers. Items for extraction will be based on the CHARMS checklist. We will evaluate any existing models for relevance, quality, and the potential for external validation and updating in other populations. Relevance will be described in terms of appropriateness of outcomes and predictors. Quality criteria will include variable selection strategies, adequacy of sample size, handling of missing data, validation techniques, and measures of model performance. This systematic review will describe the availability of multivariable prediction models and summarize evidence regarding predictors that can be used to identify the need for intervention in patients with traumatic hemorrhage. PROSPERO CRD42017054589.

Attitudes, Values and Moral Reasoning as Predictors of Delinquency

ERIC Educational Resources Information Center

Tarry, Hammond; Emler, Nicholas

2007-01-01

Attitudes to institutional authority, strength of support for moral values and maturity of socio-moral reasoning have all been identified as potential predictors of adolescent delinquency. In a sample of 12-15-year-old boys (N = 789), after checking for effects of age, IQ, social background and ethnicity, self-reported delinquency was…

Predicting Responsiveness to Treatment of Children with Autism: A Retrospective Study of the Importance of Physical Dysmorphology

ERIC Educational Resources Information Center

Stoelb, M.; Yarnal, R.; Miles, J.; Takahashi, T. N.; Farmer, J. E.; McCathren, R. B.

2004-01-01

This retrospective study examined predictors of outcome for children with autism following 6 and 12 months of early intensive behavioral intervention. Potential predictor variables included pretreatment functioning, age at onset of treatment, treatment intensity, family involvement, and physical characteristics (e.g., brain abnormalities,…

Ecological Predictors of Disciplinary Style and Child Abuse Potential in a Hispanic and Anglo-American Sample

ERIC Educational Resources Information Center

Rodriguez, Christina M.

2008-01-01

Recent attention to multicultural issues has sparked recognition that parenting is also a culturally construed phenomenon. The present study involved a diverse sample of 90 Anglo-American and Hispanic parents examining predictors based on distal/proximal levels as conceptualized in the ecological model. The study examined background…

Vocational Interests and Big Five Traits as Predictors of Job Instability

ERIC Educational Resources Information Center

Wille, Bart; De Fruyt, Filip; Feys, Marjolein

2010-01-01

Although empirical research on this topic is scarce, personality traits and vocational interests have repeatedly been named as potential individual level predictors of job change. Using a long-term cohort study (N = 291), we examined RIASEC interest profiles and Big Five personality scores at the beginning of the professional career as predictors…

Predictors and Moderators of Acute Outcome in the Treatment for Adolescents with Depression Study (TADS)

ERIC Educational Resources Information Center

Curry, John; Rohde, Paul; Simons, Anne; Silva, Susan; Vitiello, Benedetto; Kratochvil, Christopher; Reinecke, Mark; Feeny, Norah; Wells, Karen; Pathak, Sanjeev; Weller, Elizabeth; Rosenberg, David; Kennard, Betsy; Robins, Michele; Ginsburg, Golda; March, John

2006-01-01

Objective: To identify predictors and moderators of response to acute treatments among depressed adolescents (N = 439) randomly assigned to fluoxetine, cognitive-behavioral therapy (CBT), both fluoxetine and CBT, or clinical management with pill placebo in the Treatment for Adolescents With Depression Study (TADS). Method: Potential baseline…

Predictors of Psychological Sequelae of Torture among South African Former Political Prisoners

ERIC Educational Resources Information Center

Halvorsen, Joar Overaas; Kagee, Ashraf

2010-01-01

The present study investigated potential predictors of the psychological sequelae of torture among 143 former political activists who had been detained during the apartheid era in South Africa. Using multiple regression analyses, the authors found that the number of times detained for political reasons, negative social support, strong…

[Predictors of remission from major depressive disorder in secondary care].

PubMed

Salvo, Lilian; Saldivia, Sandra; Parra, Carlos; Cifuentes, Manuel; Bustos, Claudio; Acevedo, Paola; Díaz, Marcela; Ormazabal, Mitza; Guerra, Ivonne; Navarrete, Nicol; Bravo, Verónica; Castro, Andrea

2017-12-01

Background The knowledge of predictive factors in depression should help to deal with the disease. Aim To assess potential predictors of remission of major depressive disorders (MDD) in secondary care and to propose a predictive model. Material and Methods A 12 month follow-up study was conducted in a sample of 112 outpatients at three psychiatric care centers of Chile, with baseline and quarterly assessments. Demographic, psychosocial, clinical and treatment factors as potential predictors, were assessed. A clinical interview with the checklist of DSM-IV diagnostic criteria, the Hamilton Depression Scale and the List of Threatening Experiences and Multidimensional Scale of Perceived Social Support were applied. Results The number of stressful events, perceived social support, baseline depression scores, melancholic features, time prior to beginning treatment at the secondary level and psychotherapeutic sessions were included in the model as predictors of remission. Sex, age, number of previous depressive episodes, psychiatric comorbidity and medical comorbidity were not significantly related with remission. Conclusions This model allows to predict depression score at six months with 70% of accuracy and the score at 12 months with 72% of accuracy.

SHORT-TERM SOLAR FLARE PREDICTION USING MULTIRESOLUTION PREDICTORS

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

Yu Daren; Huang Xin; Hu Qinghua

2010-01-20

Multiresolution predictors of solar flares are constructed by a wavelet transform and sequential feature extraction method. Three predictors-the maximum horizontal gradient, the length of neutral line, and the number of singular points-are extracted from Solar and Heliospheric Observatory/Michelson Doppler Imager longitudinal magnetograms. A maximal overlap discrete wavelet transform is used to decompose the sequence of predictors into four frequency bands. In each band, four sequential features-the maximum, the mean, the standard deviation, and the root mean square-are extracted. The multiresolution predictors in the low-frequency band reflect trends in the evolution of newly emerging fluxes. The multiresolution predictors in the high-frequencymore » band reflect the changing rates in emerging flux regions. The variation of emerging fluxes is decoupled by wavelet transform in different frequency bands. The information amount of these multiresolution predictors is evaluated by the information gain ratio. It is found that the multiresolution predictors in the lowest and highest frequency bands contain the most information. Based on these predictors, a C4.5 decision tree algorithm is used to build the short-term solar flare prediction model. It is found that the performance of the short-term solar flare prediction model based on the multiresolution predictors is greatly improved.« less

The Incidence and Predictors of Early- and Mid-Term Clinically Relevant Neurological Events After Transcatheter Aortic Valve Replacement in Real-World Patients.

PubMed

Bosmans, Johan; Bleiziffer, Sabine; Gerckens, Ulrich; Wenaweser, Peter; Brecker, Stephen; Tamburino, Corrado; Linke, Axel

2015-07-21

Transcatheter aortic valve replacement (TAVR) enables treatment of high-risk patients with symptomatic aortic stenosis without open-heart surgery; however, the benefits are mitigated by the potential for neurological events. This study sought to determine the timing and causes of clinically relevant neurological events after self-expandable TAVR. We enrolled 1,015 patients, of whom 996 underwent TAVR with a self-expandable system at 44 TAVR-experienced centers in Europe, Colombia, and Israel. Neurological events were evaluated for 3 distinct time periods: periprocedural (0 to 1 days post TAVR); early (2 to 30 days); and late (31 to 730 days). In this real-world study, neurological events were first referred to the site neurologist and then reviewed by an independent neurologist. The overall stroke rate was 1.4% through the first day post-procedure, 3.0% at 30 days, and 5.6% at 2 years. There were no significant predictors of periprocedural stroke or stroke/transient ischemic attack (TIA) combined. Significant predictors of early stroke were acute kidney injury (p = 0.03), major vascular complication (p = 0.04), and female sex (p = 0.04). For stroke/TIA combined, prior atrial fibrillation (p = 0.03) and major vascular complication (p = 0.009) were predictive. Coronary artery bypass graft surgery was the only significant predictor of late stroke (p = 0.007) or late stroke/TIA (p = 0.06). Treatment of high-risk patients with aortic stenosis using a self-expandable system was associated with a low stroke rate at short- and long-term follow-up. Multivariable predictors of clinically relevant neurological events differed on the basis of the timing after TAVR. (CoreValve Advance International Post Market Study; NCT01074658). Copyright © 2015 American College of Cardiology Foundation. Published by Elsevier Inc. All rights reserved.

Using worldwide edaphic data to model plant species niches: An assessment at a continental extent

PubMed Central

Galvão, Franklin; Villalobos, Fabricio; De Marco Júnior, Paulo

2017-01-01

Ecological niche modeling (ENM) is a broadly used tool in different fields of plant ecology. Despite the importance of edaphic conditions in determining the niche of terrestrial plant species, edaphic data have rarely been included in ENMs of plant species perhaps because such data are not available for many regions. Recently, edaphic data has been made available at a global scale allowing its potential inclusion and evaluation on ENM performance for plant species. Here, we take advantage of such data and address the following main questions: What is the influence of distinct predictor variables (e.g. climatic vs edaphic) on different ENM algorithms? and what is the relationship between the performance of different predictors and geographic characteristics of species? We used 125 plant species distributed over the Neotropical region to explore the effect on ENMs of using edaphic data available from the SoilGrids database and its combination with climatic data from the CHELSA database. In addition, we related these different predictor variables to geographic characteristics of the target species and different ENM algorithms. The use of different predictors (climatic, edaphic, and both) significantly affected model performance and spatial complexity of the predictions. We showed that the use of global edaphic plus climatic variables generates ENMs with similar or better accuracy compared to those constructed only with climate variables. Moreover, the performance of models considering these different predictors, separately or jointly, was related to geographic properties of species records, such as number and distribution range. The large geographic extent, the variability of environments and the different species’ geographical characteristics considered here allowed us to demonstrate that global edaphic data adds useful information for plant ENMs. This is particularly valuable for studies of species that are distributed in regions where more detailed information on soil properties is poor or does not even exist. PMID:29049298

Clinical predictors and outcome of metabolic acidosis in under-five children admitted to an urban hospital in Bangladesh with diarrhea and pneumonia.

PubMed

Chisti, Mohammod J; Ahmed, Tahmeed; Ashraf, Hasan; Faruque, A S G; Bardhan, Pradip K; Dey, Sanjoy Kumer; Huq, Sayeeda; Das, Sumon Kumar; Salam, Mohammed A

2012-01-01

Clinical features of metabolic acidosis and pneumonia frequently overlap in young diarrheal children, resulting in differentiation from each other very difficult. However, there is no published data on the predictors of metabolic acidosis in diarrheal children also having pneumonia. Our objective was to evaluate clinical predictors of metabolic acidosis in under-five diarrheal children with radiological pneumonia, and their outcome. We prospectively enrolled all under-five children (n = 164) admitted to the Special Care Ward (SCW) of the Dhaka Hospital of icddr, b between September and December 2007 with diarrhea and radiological pneumonia who also had their total serum carbon-dioxide estimated. We compared the clinical features and outcome of children with radiological pneumonia and diarrhea with (n = 98) and without metabolic acidosis (n = 66). Children with metabolic acidosis more often had higher case-fatality (16% vs. 5%, p = 0.039) compared to those without metabolic acidosis on admission. In logistic regression analysis, after adjusting for potential confounders such as age of the patient, fever on admission, and severe wasting, the independent predictors of metabolic acidosis in under-five diarrheal children having pneumonia were clinical dehydration (OR 3.57, 95% CI 1.62-7.89, p = 0.002), and low systolic blood pressure even after full rehydration (OR 1.02, 95% CI 1.01-1.04, p = 0.005). Proportions of children with cough, respiratory rate/minute, lower chest wall indrawing, nasal flaring, head nodding, grunting respiration, and cyanosis were comparable (p>0.05) among the groups. Under-five diarrheal children with radiological pneumonia having metabolic acidosis had frequent fatal outcome than those without acidosis. Clinical dehydration and persistent systolic hypotension even after adequate rehydration were independent clinical predictors of metabolic acidosis among the children. However, metabolic acidosis in young diarrheal children had no impact on the diagnostic clinical features of radiological pneumonia which underscores the importance of early initiation of appropriate antibiotics to combat morbidity and deaths in such population.

Potential role of antitachycardia pacing alerts for the reduction of emergency presentations following shocks in patients with implantable cardioverter-defibrillators: implications for the implementation of remote monitoring.

PubMed

Boulé, Stéphane; Ninni, Sandro; Finat, Loïc; Botcherby, Edward J; Kouakam, Claude; Klug, Didier; Marquié, Christelle; Brigadeau, François; Lacroix, Dominique; Kacet, Salem; Guédon-Moreau, Laurence

2016-12-01

Despite increased use of remote monitoring (RM) to follow up implantable cardioverter-defibrillator (ICD) recipients, many patients still receive ICD shocks in the community and present to the emergency department. Our aim was to identify the best predictors of impending shock delivery that can be measured with an ICD and to identify the most appropriate activities to alert physicians to during RM follow-up. All patients presenting to our institution for ICD shock, from November 2011 to November 2014, were enrolled in this prospective study. Patient characteristics, investigation results, and details of electrical activities from ICD interrogation were recorded at presentation. Presentations were classified as potentially avoidable if activities from a list of set criteria were apparent more than 48 h before index shock. Univariate and multivariate analyses were then used to identify predictors of potentially avoidable shocks. In total, 109 emergency presentations were recorded in 90 patients (male: 85%; 57 ± 16 years; ischaemic cardiomyopathy: 49%; LVEF: 34 ± 13%; electrical storm: 40%), of which 26 (24%) were potentially avoidable. Antitachycardia pacing (ATP) episodes were the most important predictor of impending shock. Potentially avoidable shocks were preceded by more episodes of ATP than unavoidable shocks (13 [3-67] vs. 3 [0-10]; P < 0.001). Patients followed up with RM systems configured to generate alerts following ATP delivery experienced significantly less ICD shocks (24 vs. 16%, P < 0.01). Remote monitoring systems that generate alerts following ATP delivery could reduce emergency presentations for ICD shock by 24%, as ATP is a key predictor of impending shock delivery. Published on behalf of the European Society of Cardiology. All rights reserved. © The Author 2015. For permissions please email: journals.permissions@oup.com.

The effect of service satisfaction and spiritual well-being on the quality of life of patients with schizophrenia.

PubMed

Lanfredi, Mariangela; Candini, Valentina; Buizza, Chiara; Ferrari, Clarissa; Boero, Maria E; Giobbio, Gian M; Goldschmidt, Nicoletta; Greppo, Stefania; Iozzino, Laura; Maggi, Paolo; Melegari, Anna; Pasqualetti, Patrizio; Rossi, Giuseppe; de Girolamo, Giovanni

2014-05-15

Quality of life (QOL) has been considered an important outcome measure in psychiatric research and determinants of QOL have been widely investigated. We aimed at detecting predictors of QOL at baseline and at testing the longitudinal interrelations of the baseline predictors with QOL scores at a 1-year follow-up in a sample of patients living in Residential Facilities (RFs). Logistic regression models were adopted to evaluate the association between WHOQoL-Bref scores and potential determinants of QOL. In addition, all variables significantly associated with QOL domains in the final logistic regression model were included by using the Structural Equation Modeling (SEM). We included 139 patients with a diagnosis of schizophrenia spectrum. In the final logistic regression model level of activity, social support, age, service satisfaction, spiritual well-being and symptoms' severity were identified as predictors of QOL scores at baseline. Longitudinal analyses carried out by SEM showed that 40% of QOL follow-up variability was explained by QOL at baseline, and significant indirect effects toward QOL at follow-up were found for satisfaction with services and for social support. Rehabilitation plans for people with schizophrenia living in RFs should also consider mediators of change in subjective QOL such as satisfaction with mental health services. Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.

Climate, soil or both? Which variables are better predictors of the distributions of Australian shrub species?

PubMed Central

Esperón-Rodríguez, Manuel; Baumgartner, John B.; Beaumont, Linda J.

2017-01-01

Background Shrubs play a key role in biogeochemical cycles, prevent soil and water erosion, provide forage for livestock, and are a source of food, wood and non-wood products. However, despite their ecological and societal importance, the influence of different environmental variables on shrub distributions remains unclear. We evaluated the influence of climate and soil characteristics, and whether including soil variables improved the performance of a species distribution model (SDM), Maxent. Methods This study assessed variation in predictions of environmental suitability for 29 Australian shrub species (representing dominant members of six shrubland classes) due to the use of alternative sets of predictor variables. Models were calibrated with (1) climate variables only, (2) climate and soil variables, and (3) soil variables only. Results The predictive power of SDMs differed substantially across species, but generally models calibrated with both climate and soil data performed better than those calibrated only with climate variables. Models calibrated solely with soil variables were the least accurate. We found regional differences in potential shrub species richness across Australia due to the use of different sets of variables. Conclusions Our study provides evidence that predicted patterns of species richness may be sensitive to the choice of predictor set when multiple, plausible alternatives exist, and demonstrates the importance of considering soil properties when modeling availability of habitat for plants. PMID:28652933

Rates and predictors of seizure freedom in resective epilepsy surgery: an update

PubMed Central

Englot, Dario J.; Chang, Edward F.

2017-01-01

Epilepsy is a debilitating neurological disorder affecting approximately 1 % of the world’s population. Drug-resistant focal epilepsies are potentially surgically remediable. Although epilepsy surgery is dramatically underutilized among medically refractory patients, there is an expanding collection of evidence supporting its efficacy which may soon compel a paradigm shift. Of note is that a recent randomized controlled trial demonstrated that early resection leads to considerably better seizure outcomes than continued medical therapy in patients with pharmacoresistant temporal lobe epilepsy. In the present review, we provide a timely update of seizure freedom rates and predictors in resective epilepsy surgery, organized by the distinct pathological entities most commonly observed. Class I evidence, meta-analyses, and individual observational case series are considered, including the experiences of both our institution and others. Overall, resective epilepsy surgery leads to seizure freedom in approximately two thirds of patients with intractable temporal lobe epilepsy and about one half of individuals with focal neocortical epilepsy, although only the former observation is supported by class I evidence. Two common modifiable predictors of postoperative seizure freedom are early operative intervention and, in the case of a discrete lesion, gross total resection. Evidence-based practice guidelines recommend that epilepsy patients who continue to have seizures after trialing two or more medication regimens should be referred to a comprehensive epilepsy center for multidisciplinary evaluation, including surgical consideration. PMID:24497269

Neurogenic fever after traumatic brain injury: an epidemiological study

PubMed Central

Thompson, H; Pinto-Martin, J; Bullock, M

2003-01-01

Objectives: To determine the incidence of neurogenic fever (NF) in a population of patients in the acute phase following severe traumatic brain injury (TBI); to identify factors associated with the development of NF following severe TBI in adults. Methods: Charts of patients admitted from 1996 to 1999 with severe TBI at a large, urban mid-Atlantic teaching hospital were retrospectively evaluated based on diagnostic criteria for each episode of hyperthermia to determine the diagnosis of NF. Data were collected regarding mechanism and area of injury, severity of injury, and demographic factors to determine potential predictors of NF. Results: Diffuse axonal injury (DAI) (OR 9.06, 95% CI 0.99 to 82.7) and frontal lobe injury of any type (OR 6.68, 95% CI 1.1 to 39.3) are independently predictive of an increased risk of development of NF following severe TBI. The presence of a skull fracture and lower initial Glasgow Coma Score (GCS) were individual predictors of development of NF, but did not contribute to the final model. Conclusions: These findings examine known and novel risk factors for this phenomenon in comparison to previously published literature on NF. A set of predictor variables was identified to help clinicians target patients at high risk for development of NF following severe TBI. It is hoped that earlier diagnosis and appropriate intervention for fever in the TBI patient will lead to improved outcomes. PMID:12700304

Perioperative plasma glypican-3 level may enable prediction of the risk of recurrence after surgery in patients with stage I hepatocellular carcinoma.

PubMed

Ofuji, Kazuya; Saito, Keigo; Suzuki, Shiro; Shimomura, Manami; Shirakawa, Hirofumi; Nobuoka, Daisuke; Sawada, Yu; Yoshimura, Mayuko; Tsuchiya, Nobuhiro; Takahashi, Mari; Yoshikawa, Toshiaki; Tada, Yoshitaka; Konishi, Masaru; Takahashi, Shinichiro; Gotohda, Naoto; Nakamoto, Yasunari; Nakatsura, Tetsuya

2017-06-06

Glypican-3 (GPC3) is a glycosylphosphatidylinositol-anchored cell surface protein overexpressed in hepatocellular carcinoma(HCC), and its overexpression is associated with poor prognosis. The diagnostic potential of GPC3 as a serum marker has been reported. In the present study, we evaluated the usefulness of plasma GPC3 as a predictor for recurrence after surgical resection in stage I HCC patients by newly developed an enzyme-linked immunosorbent assay (ELISA) system. Current study demonstrated that high levels of preoperative plasma GPC3 patients tended to experience postoperative recurrence. On the other hand, pre- and postoperative plasma GPC3 positivity of non-recurrence patients was very low. Moreover, even after surgery, approximately half of patients who experienced recurrence were positive for plasma GPC3. Postoperative plasma GPC3 positivity was significantly correlated with worse recurrence-free survival. Immuohistochemical analysis also showed positive rate of GPC3-expression in HCC was higher in recurrence patients than in non-recurrence patients. These results suggested that both pre- and postoperative plasma GPC3 levels may be accurate predictors for recurrence after curative resection of early-stage HCC. It should be noted that the current study only examined a small number of cases; thus, a larger sample size is necessary to validate GPC3 as a predictor for HCC recurrence.

Applying an Ensemble Classification Tree Approach to the Prediction of Completion of a 12-Step Facilitation Intervention with Stimulant Abusers

PubMed Central

Doyle, Suzanne R.; Donovan, Dennis M.

2014-01-01

Aims The purpose of this study was to explore the selection of predictor variables in the evaluation of drug treatment completion using an ensemble approach with classification trees. The basic methodology is reviewed and the subagging procedure of random subsampling is applied. Methods Among 234 individuals with stimulant use disorders randomized to a 12-Step facilitative intervention shown to increase stimulant use abstinence, 67.52% were classified as treatment completers. A total of 122 baseline variables were used to identify factors associated with completion. Findings The number of types of self-help activity involvement prior to treatment was the predominant predictor. Other effective predictors included better coping self-efficacy for substance use in high-risk situations, more days of prior meeting attendance, greater acceptance of the Disease model, higher confidence for not resuming use following discharge, lower ASI Drug and Alcohol composite scores, negative urine screens for cocaine or marijuana, and fewer employment problems. Conclusions The application of an ensemble subsampling regression tree method utilizes the fact that classification trees are unstable but, on average, produce an improved prediction of the completion of drug abuse treatment. The results support the notion there are early indicators of treatment completion that may allow for modification of approaches more tailored to fitting the needs of individuals and potentially provide more successful treatment engagement and improved outcomes. PMID:25134038

Quality of life among parents of children with phenylketonuria (PKU)

PubMed Central

2013-01-01

Background Parents of children with chronic conditions are known to be at risk of impairment in their quality of life (QoL). Studies considering other chronic conditions proposed diverse factors to have an impact on the parent’s QoL. So far, there has been little research on parents who have a child with phenylketonuria (PKU). This study was designed to evaluate the parental quality of life (PQoL) of parents of children and adolescents who have PKU and identify possible predictors of PQoL. Methods In this cross-sectional study 89 parents completed self-report measures of PQoL, family stress, social support, and parental coping. To determine the impact of these potential predictors on PQoL, regression and mediation analyses were performed. Results Most parents coped well with their children’s metabolic disorder. Family stress (β = −0.42; p < 0.001) and perceived social support (β = 0.33; p = 0.001) were proven to be the most powerful predictors, accounting together for 45% of the variance of PQoL. Social support mediated the association between family stress and PQoL. Conclusions The current study indicates that parents of younger children are an especially vulnerable group. Members of health-care teams should be able to identify and empower vulnerable parents to seek and maintain social support. PMID:23537423

Comparison of potential fecundity models for walleye pollock Gadus chalcogrammus in the Pacific waters off Hokkaido, Japan.

PubMed

Tanaka, H; Hamatsu, T; Mori, K

2017-01-01

Potential fecundity models of walleye or Alaska pollock Gadus chalcogrammus in the Pacific waters off Hokkaido, Japan, were developed. They were compared using a generalized linear model with using either standard body length (L S ) or total body mass (M T ) as a main covariate along with Fulton's condition factor (K) and mean diameter of oocytes (D O ) as additional potential covariates to account for maternal conditions and maturity stage. The results of model selection showed that M T was a better single predictor of potential fecundity (F P ) than L S . The biological importance of K on F P was obscure, because it was statistically significant when used in the predictor with L S (i.e. length-based model), but not significant when used with M T (i.e. mass-based model). Meanwhile, D O was statistically significant in both length and mass-based models, suggesting the importance of downregulation on the number of oocytes with advancing maturation. Among all candidate models, the model with M T and D O in the predictor had the lowest Akaike's information criterion value, suggesting its better predictive power. These newly developed models will improve future comparisons of the potential fecundity within and among stocks by excluding potential biases other than body size. © 2016 The Fisheries Society of the British Isles.

Dose-Volume Histogram Predictors of Chronic Gastrointestinal Complications After Radical Hysterectomy and Postoperative Concurrent Nedaplatin-Based Chemoradiation Therapy for Early-Stage Cervical Cancer

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

Isohashi, Fumiaki, E-mail: isohashi@radonc.med.osaka-u.ac.jp; Yoshioka, Yasuo; Mabuchi, Seiji

2013-03-01

Purpose: The purpose of this study was to evaluate dose-volume histogram (DVH) predictors for the development of chronic gastrointestinal (GI) complications in cervical cancer patients who underwent radical hysterectomy and postoperative concurrent nedaplatin-based chemoradiation therapy. Methods and Materials: This study analyzed 97 patients who underwent postoperative concurrent chemoradiation therapy. The organs at risk that were contoured were the small bowel loops, large bowel loop, and peritoneal cavity. DVH parameters subjected to analysis included the volumes of these organs receiving more than 15, 30, 40, and 45 Gy (V15-V45) and their mean dose. Associations between DVH parameters or clinical factors andmore » the incidence of grade 2 or higher chronic GI complications were evaluated. Results: Of the clinical factors, smoking and low body mass index (BMI) (<22) were significantly associated with grade 2 or higher chronic GI complications. Also, patients with chronic GI complications had significantly greater V15-V45 volumes and higher mean dose of the small bowel loops compared with those without GI complications. In contrast, no parameters for the large bowel loop or peritoneal cavity were significantly associated with GI complications. Results of the receiver operating characteristics (ROC) curve analysis led to the conclusion that V15-V45 of the small bowel loops has high accuracy for prediction of GI complications. Among these parameters, V40 gave the highest area under the ROC curve. Finally, multivariate analysis was performed with V40 of the small bowel loops and 2 other clinical parameters that were judged to be potential risk factors for chronic GI complications: BMI and smoking. Of these 3 parameters, V40 of the small bowel loops and smoking emerged as independent predictors of chronic GI complications. Conclusions: DVH parameters of the small bowel loops may serve as predictors of grade 2 or higher chronic GI complications after postoperative concurrent nedaplatin-based chemoradiation therapy for early-stage cervical cancer.« less

The potential for technology in brief interventions for substance use, and during-session prediction of computer-delivered brief intervention response.

PubMed

Ondersma, Steven J; Grekin, Emily R; Svikis, Dace

2011-01-01

We first provide an overview of the potential of technology in the area of brief interventions for substance use and describe recent projects from our lab that are illustrative of that potential. Second, we present data from a study of during-session predictors of brief intervention response. In a sample of postpartum women (N = 39), several variables showed promise as predictors of later drug use, and a brief index derived from them predicted abstinence with a sensitivity of .7 and a specificity of .89. This promising approach and initial study findings support the importance of future research in this area.

Prevalence of the prescription of potentially interacting drugs.

PubMed

Tragni, Elena; Casula, Manuela; Pieri, Vasco; Favato, Giampiero; Marcobelli, Alberico; Trotta, Maria Giovanna; Catapano, Alberico Luigi

2013-01-01

The use of multiple medications is becoming more common, with a correspondingly increased risk of untoward effects and drug-related morbidity and mortality. We aimed at estimating the prevalence of prescription of relevant potentially interacting drugs and at evaluating possible predictors of potentially interacting drug exposure. We retrospectively analyzed data on prescriptions dispensed from January 2004 to August 2005 to individuals of two Italian regions with a population of almost 2.1 million individuals. We identified 27 pairs of potentially interacting drugs by examining clinical relevance, documentation, and volume of use in Italy. Subjects who received at least one prescription of both drugs were selected. Co-prescribing denotes "two prescriptions in the same day", and concomitant medication "the prescription of two drugs with overlapping coverage". A logistic regression analysis was conducted to examine the predictors of potential Drug-Drug Interaction (pDDIs). 957,553 subjects (45.3% of study population) were exposed to at least one of the drugs/classes of the 27 pairs. Overall, pDDIs occurred 2,465,819 times. The highest rates of concomitant prescription and of co-prescription were for ACE inhibitors+NSAIDs (6,253 and 4,621/100,000 plan participants). Considering concomitance, the male/female ratio was <1 in 17/27 pairs (from 0.31 for NSAIDs-ASA+SSRI to 0.74 for omeprazole+clopidogrel). The mean age was lowest for methotrexate pairs (+omeprazole, 59.9 years; +NSAIDs-ASA, 59.1 years) and highest for digoxin+verapamil (75.4 years). In 13/27 pairs, the mean ages were ≥70 years. On average, subjects involved in pDDIs received ≥10 drugs. The odds of exposure were more frequently higher for age ≥65 years, males, and those taking a large number of drugs. A substantial number of clinically important pDDIs were observed, particularly among warfarin users. Awareness of the most prevalent pDDIs could help practitioners in preventing concomitant use, resulting in a better quality of drug prescription and potentially avoiding unwanted side effects.

Age, Body Mass Index, and Frequency of Sexual Activity are Independent Predictors of Testosterone Deficiency in Men With Erectile Dysfunction.

PubMed

Pagano, Matthew J; De Fazio, Adam; Levy, Alison; RoyChoudhury, Arindam; Stahl, Peter J

2016-04-01

To identify clinical predictors of testosterone deficiency (TD) in men with erectile dysfunction (ED), thereby identifying subgroups that are most likely to benefit from targeted testosterone screening. Retrospective review was conducted on 498 men evaluated for ED between January 2013 and July 2014. Testing for TD by early morning serum measurement was offered to all eligible men. Patients with history of prostate cancer or testosterone replacement were excluded. Univariable linear regression was conducted to analyze 19 clinical variables for associations with serum total testosterone (TT), calculated free testosterone (cFT), and TD (T <300 ng/dL or cFT <6.5 ng/dL). Variables significant on univariable analysis were included in multiple regression models. A total of 225 men met inclusion criteria. Lower TT levels were associated with greater body mass index (BMI), less frequent sexual activity, and absence of clinical depression on multiple regression analysis. TT decreased by 49.5 ng/dL for each 5-point increase in BMI. BMI and age were the only independent predictors of cFT levels on multivariable analysis. Overall, 62 subjects (27.6%) met criteria for TD. Older age, greater BMI, and less frequent sexual activity were the only independent predictors of TD on multiple regression. We observed a 2.2-fold increase in the odds of TD for every 5-point increase in BMI, and a 1.8-fold increase for every 10 year increase in age. Men with ED and elevated BMI, advanced age, or infrequent sexual activity appear to be at high risk of TD, and such patients represent excellent potential candidates for targeted testosterone screening. Copyright © 2016 Elsevier Inc. All rights reserved.

Poor preoperative nutritional status is an important predictor of the retardation of rehabilitation after cardiac surgery in elderly cardiac patients.

PubMed

Ogawa, Masato; Izawa, Kazuhiro P; Satomi-Kobayashi, Seimi; Kitamura, Aki; Ono, Rei; Sakai, Yoshitada; Okita, Yutaka

2017-04-01

Preoperative nutritional status and physical function are important predictors of mortality and morbidity after cardiac surgery. However, the influence of nutritional status before cardiac surgery on physical function and the progress of postoperative rehabilitation requires clarification. To determine the effect of preoperative nutritional status on preoperative physical function and progress of rehabilitation after elective cardiac surgery. We enrolled 131 elderly patients with mean age of 73.7 ± 5.8 years undergoing cardiac surgery. We divided them into two groups by nutritional status as measured by the Geriatric Nutritional Risk Index (GNRI): high GNRI group (GNRI ≥ 92, n = 106) and low GNRI group (GNRI < 92, n = 25). Physical function was estimated by handgrip strength, knee extensor muscle strength (KEMS), the Short Physical Performance Battery (SPPB), and 6-minute walk test (6MWT). Progress of postoperative rehabilitation was evaluated by the number of days to independent walking after surgery, length of stay in the ICU, and length of hospital stay. After adjusting for potential confounding factors, preoperative handgrip strength (P = 0.034), KEMS (P = 0.009), SPPB (P < 0.0001), and 6MWT (P = 0.012) were all significantly better in the high GNRI group. Multiple regression analysis revealed that a low GNRI was an independent predictor of the retardation of postoperative rehabilitation. Preoperative nutritional status as assessed by the GNRI could reflect perioperative physical function. Preoperative poor nutritional status may be an independent predictor of the retardation of postoperative rehabilitation in patients undergoing elective cardiac surgery.

Pleural Fluid Adenosine Deaminase (ADA) Predicts Survival in Patients with Malignant Pleural Effusion.

PubMed

Terra, Ricardo Mingarini; Antonangelo, Leila; Mariani, Alessandro Wasum; de Oliveira, Ricardo Lopes Moraes; Teixeira, Lisete Ribeiro; Pego-Fernandes, Paulo Manuel

2016-08-01

Systemic and local inflammations have been described as relevant prognostic factors in patients with cancer. However, parameters that stand for immune activity in the pleural space have not been tested as predictors of survival in patients with malignant pleural effusion. The objective of this study was to evaluate pleural lymphocytes and Adenosine Deaminase (ADA) as predictors of survival in patients with recurrent malignant pleural effusion. Retrospective cohort study includes patients who underwent pleurodesis for malignant pleural effusion in a tertiary center. Pleural fluid protein concentration, lactate dehydrogenase, glucose, oncotic cytology, cell count, and ADA were collected before pleurodesis and analyzed. Survival analysis was performed considering pleurodesis as time origin, and death as the event. Backwards stepwise Cox regression was used to find predictors of survival. 156 patients (out of 196 potentially eligible) were included in this study. Most were female (72 %) and breast cancer was the most common underlying malignancy (53 %). Pleural fluid ADA level was stratified as low (<15 U/L), normal (15 ≤ ADA < 40), and high (≥40). Low and high ADA levels were associated with worse survival when compared to normal ADA (logrank: 0.0024). In multivariable analysis, abnormal ADA (<15 or ADA ≥ 40) and underlying malignancies different from lymphoma, lung, or breast cancer were associated with worse survival. Pleural fluid cell count and lymphocytes number and percentage did not correlate with survival. Pleural fluid Adenosine Deaminase levels (<15 or ≥40 U/L) and neoplasms other than lung, breast, or lymphoma are independent predictors of worse survival in patients with malignant pleural effusion who undergo pleurodesis.

Predictors of outcomes following reablement in community-dwelling older adults.

PubMed

Tuntland, Hanne; Kjeken, Ingvild; Langeland, Eva; Folkestad, Bjarte; Espehaug, Birgitte; Førland, Oddvar; Aaslund, Mona Kristin

2017-01-01

Reablement is a rehabilitation intervention for community-dwelling older adults, which has recently been implemented in several countries. Its purpose is to improve functional ability in daily occupations (everyday activities) perceived as important by the older person. Performance and satisfaction with performance in everyday life are the major outcomes of reablement. However, the evidence base concerning which factors predict better outcomes and who receives the greatest benefit in reablement is lacking. The objective of this study was to determine the potential factors that predict occupational performance and satisfaction with that performance at 10 weeks follow-up. The sample in this study was derived from a nationwide clinical controlled trial evaluating the effects of reablement in Norway and consisted of 712 participants living in 34 municipalities. Multiple linear regression was used to investigate possible predictors of occupational performance (COPM-P) and satisfaction with that performance (COPM-S) at 10 weeks follow-up based on the Canadian Occupational Performance Measure (COPM). The results indicate that the factors that significantly predicted better COPM-P and COPM-S outcomes at 10 weeks follow-up were higher baseline scores of COPM-P and COPM-S respectively, female sex, having a fracture as the major health condition and high motivation for rehabilitation. Conversely, the factors that significantly predicted poorer COPM-P and COPM-S outcomes were having a neurological disease other than stroke, having dizziness/balance problems as the major health condition and having pain/discomfort. In addition, having anxiety/depression was a predictor of poorer COPM-P outcomes. The two regression models explained 38.3% and 38.8% of the total variance of the dependent variables of occupational performance and satisfaction with that performance, respectively. The results indicate that diagnosis, functional level, sex and motivation are significant predictors of outcomes following reablement.

Cognitive dysfunction among newly diagnosed older patients with hematological malignancy: frequency, clinical indicators and predictors.

PubMed

Aiki, Sayo; Okuyama, Toru; Sugano, Koji; Kubota, Yosuke; Imai, Fuminobu; Nishioka, Masahiro; Ito, Yoshinori; Iida, Shinsuke; Komatsu, Hirokazu; Ishida, Takashi; Kusumoto, Shigeru; Akechi, Tatsuo

2018-01-01

Medical staff often overlook or underestimate the presence or severity of cognitive dysfunction. The purpose of this study was to clarify the frequency, clinical indicators and predictors of cognitive dysfunction among newly diagnosed older patients with hematologic malignancy receiving first-line chemotherapy. Patients aged 65 years or over with a primary diagnosis of malignant lymphoma or multiple myeloma were consecutively recruited. Cognitive dysfunction was evaluated using the Mini-Mental State Examination (MMSE) twice: before starting chemotherapy (T1) and 1 month later (T2). Participants also underwent a comprehensive geriatric assessment at T1. Potential clinical indicators that were associated with cognitive dysfunction were explored via cross-sectional analysis at T1. Predictors of cognitive dysfunction at T2 were also investigated among patients without cognitive dysfunction at T1. A total of 145 participants participated in the study; cognitive dysfunction at T1 was present in 20%. Multivariate analysis demonstrated that lower educational attainment and poorer instrumental activities of daily living were significant clinical indicators of cognitive dysfunction. Among 99 patients who did not have cognitive dysfunction at T1 and underwent cognitive assessment at T2, 7% developed dysfunction. Subjective perception of difficulty remembering at T1 was the only factor which significantly predicted new-onset cognitive dysfunction at T2. The prevalence rate of cognitive dysfunction was non-negligible among older patients with hematologic malignancy before and immediately after initial chemotherapy. Attention to the clinical indicators and predictors found in this study may provide facilitate the identification of cognitive dysfunction in patients with cancer. © The Author 2017. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Evaluating International Research Ethics Capacity Development: An Empirical Approach

PubMed Central

Ali, Joseph; Kass, Nancy E.; Sewankambo, Nelson K.; White, Tara D.; Hyder, Adnan A.

2014-01-01

The US National Institutes of health, Fogarty International Center (NIH-FIC) has, for the past 13 years, been a leading funder of international research ethics education for resource-limited settings. Nearly half of the NIH-FIC funding in this area has gone to training programs that train individuals from sub-Saharan Africa. Identifying the impact of training investments, as well as the potential predictors of post-training success, can support curricular decision-making, help establish funding priorities, and recognize the ultimate outcomes of trainees and training programs. Comprehensive evaluation frameworks and targeted evaluation tools for bioethics training programs generally, and for international research ethics programs in particular, are largely absent from published literature. This paper shares an original conceptual framework, data collection tool, and detailed methods for evaluating the inputs, processes, outputs, and outcomes of research ethics training programs serving individuals in resource-limited settings. This paper is part of a collection of papers analyzing the Fogarty International Center’s International Research Ethics Education and Curriculum Development program. PMID:24782071

Early Childhood Teachers' Psychological Well-Being: Exploring Potential Predictors of Depression, Stress, and Emotional Exhaustion

ERIC Educational Resources Information Center

Jeon, Lieny; Buettner, Cynthia K.; Grant, Ashley A.

2018-01-01

Research Findings: Early childhood teachers' psychological well-being influences the nurturing and learning classroom climate in early care and education as well as children's development. However, less is known about predictors of teachers' psychological well-being in preschool. The purpose of this study was to explore associations between…

Predictor sort sampling, tight t`s, and the analysis of covariance : theory, tables, and examples

Treesearch

S. P. Verrill; D. W. Green

In recent years wood strength researchers have begun to replace experimental unit allocation via random sampling with allocation via sorts based on nondestructive measurements of strength predictors such as modulus of elasticity and specific gravity. Although this procedure has the potential of greatly increasing experimental sensitivity, as currently implemented it...

Office-based treatment and outcomes for febrile infants with clinically diagnosed bronchiolitis.

PubMed

Luginbuhl, Lynn M; Newman, Thomas B; Pantell, Robert H; Finch, Stacia A; Wasserman, Richard C

2008-11-01

The goals were to describe the (1) frequency of sepsis evaluation and empiric antibiotic treatment, (2) clinical predictors of management, and (3) serious bacterial illness frequency for febrile infants with clinically diagnosed bronchiolitis seen in office settings. The Pediatric Research in Office Settings network conducted a prospective cohort study of 3066 febrile infants (<3 months of age with temperatures >or=38 degrees C) in 219 practices in 44 states. We compared the frequency of sepsis evaluation, parenteral antibiotic treatment, and serious bacterial illness in infants with and without clinically diagnosed bronchiolitis. We identified predictors of sepsis evaluation and parenteral antibiotic treatment in infants with bronchiolitis by using logistic regression models. Practitioners were less likely to perform a complete sepsis evaluation, urine testing, and cerebrospinal fluid culture and to administer parenteral antibiotic treatment for infants with bronchiolitis, compared with those without bronchiolitis. Significant predictors of sepsis evaluation in infants with bronchiolitis included younger age, higher maximal temperature, and respiratory syncytial virus testing. Predictors of parenteral antibiotic use included initial ill appearance, age of <30 days, higher maximal temperature, and general signs of infant distress. Among infants with bronchiolitis (N = 218), none had serious bacterial illness and those with respiratory distress signs were less likely to receive parenteral antibiotic treatment. Diagnoses among 2848 febrile infants without bronchiolitis included bacterial meningitis (n = 14), bacteremia (n = 49), and urinary tract infection (n = 167). In office settings, serious bacterial illness in young febrile infants with clinically diagnosed bronchiolitis is uncommon. Limited testing for bacterial infections seems to be an appropriate management strategy.

Predictors of duodenal bulb biopsy performance in the evaluation of coeliac disease in children.

PubMed

Tanpowpong, Pornthep; Broder-Fingert, Sarabeth; Katz, Aubrey J; Camargo, Carlos A

2012-09-01

Studies on the role of duodenal bulb biopsy (DBB) in coeliac disease (CD) evaluation have increased in recent years; growing evidence suggests that the disease can present solely in the duodenal bulb. Moreover, recent CD guidelines recommend obtaining a DBB. The study aim was to examine DBB performance in children undergoing CD evaluation and to identify independent predictors of DBB performance. The authors performed a structured chart review of children aged <18 years who underwent CD evaluation between 2000 and 2010 at a large teaching hospital. The authors collected data including demographics, serology, endoscopy and histopathological findings. Predictors of DBB performance (obtained vs not obtained) were determined using multivariable logistic regression. Among 616 children who underwent endoscopy, DBB was performed in 103 children (17%, 95% CI 14% to 20%) with an increasing trend in the more recent years (2008-2010, 25%; 2004-2007, 16%; and 2000-2003, 5%, p<0.001). Three independent predictors of DBB performance were older age at endoscopy (OR 1.05 per year of age), gross gastric antral abnormalities (OR 2.81) and gross duodenal abnormalities (OR 5.55). Regarding the DBB histological findings, patchiness of CD was found in 15%. Positive Marsh III biopsy presented solely on the DBB in 6/103 (6%, 95% CI 2% to 12%) children. The authors found a significant increase in DBB performance over time, but the overall performance remains suboptimal. Improving education on obtaining a DBB for CD evaluation is crucial, especially among those children in whom DBB is more likely to be omitted.

Landscape capability predicts upland game bird abundance and occurrence

USGS Publications Warehouse

Loman, Zachary G.; Blomberg, Erik J.; DeLuca, William; Harrison, Daniel J.; Loftin, Cyndy; Wood, Petra B.

2017-01-01

Landscape capability (LC) models are a spatial tool with potential applications in conservation planning. We used survey data to validate LC models as predictors of occurrence and abundance at broad and fine scales for American woodcock (Scolopax minor) and ruffed grouse (Bonasa umbellus). Landscape capability models were reliable predictors of occurrence but were less indicative of relative abundance at route (11.5–14.6 km) and point scales (0.5–1 km). As predictors of occurrence, LC models had high sensitivity (0.71–0.93) and were accurate (0.71–0.88) and precise (0.88 and 0.92 for woodcock and grouse, respectively). Models did not predict point-scale abundance independent of the ability to predict occurrence of either species. The LC models are useful predictors of patterns of occurrences in the northeastern United States, but they have limited utility as predictors of fine-scale or route-specific abundances. 

Wire-bending test as a predictor of preclinical performance by dental students.

PubMed

Kao, E C; Ngan, P W; Wilson, S; Kunovich, R

1990-10-01

Traditional Dental Aptitude Test and academic grade point average have been shown to be poor predictors of clinical performance by dental students. To refine predictors of psychomotor skills, a wire-bending test was given to 105 freshmen at the beginning of their dental education. Grades from seven restorative preclinical courses in their freshman and sophomore years were compared to scores on wire bending and the three traditional predictors: GPA, academic aptitude, and perceptual aptitude scores. Wire-bending scores correlated significantly with six out of seven preclinical restorative courses. The predictive power for preclinical performance was doubled when wire bending was added to traditional predictors in stepwise multiple regression analysis. Wire-bending scores identified students of low performance. These preliminary results suggest that the wire-bending test shows some potential as a screening test for identifying students who may hae psychomotor difficulties, early in their dental education.

Predictors of relationship power among drug-involved women.

PubMed

Campbell, Aimee N C; Tross, Susan; Hu, Mei-chen; Pavlicova, Martina; Nunes, Edward V

2012-08-01

Gender-based relationship power is frequently linked to women's capacity to reduce sexual risk behaviors. This study offers an exploration of predictors of relationship power, as measured by the multidimensional and theoretically grounded sexual relationship power scale, among women in outpatient substance abuse treatment. Linear models were used to test nine predictors (age, race/ethnicity, education, time in treatment, economic dependence, substance use, sexual concurrency, partner abuse, and sex role orientation) of relationship power among 513 women participating in a multi-site HIV risk reduction intervention study. Significant predictors of relationship control included having a non-abusive male partner, only one male partner, and endorsing traditional masculine (or both masculine and feminine) sex role attributes. Predictors of decision-making dominance were interrelated, with substance use × partner abuse and age × sex role orientation interactions. Results contribute to the understanding of factors which may influence relationship power and to their potential role in HIV sexual risk reduction interventions.

Antecedents of emotion knowledge: Predictors of individual differences in young children

PubMed Central

Bennett, David S.; Bendersky, Margaret; Lewis, Michael

2006-01-01

Individual differences in emotion knowledge were examined among 188 4-year-old, predominantly African American children. Cognitive ability and negative emotionality, maternal characteristics (parenting, verbal intelligence, and depressive symptoms), environmental risk, and child sex were examined as predictors of emotion knowledge. Regression analyses indicated that cognitively skilled children who resided in relatively low risk environments with verbally intelligent mothers possessed greater emotion knowledge. Proximal (4-year) child cognitive ability was a stronger predictor than distal (2-year) cognitive ability. Positive parenting at 4 years was correlated with child emotion knowledge, but this relation disappeared when parenting was examined in the context of other predictors. These findings highlight the potential role of child cognitive ability, along with environmental risk and maternal verbal intelligence, in children’s emotion knowledge and demonstrate the importance of examining a variety of predictors for their unique contribution to emotion knowledge. PMID:16894396

Factors Associated with Research Wrongdoing in Nigeria

PubMed Central

Adeleye, Omokhoa A.; Adebamowo, Clement A.

2013-01-01

Concerns about research wrongdoing in biomedical research are growing in developing countries, where research ethics training and research regulatory systems are just emerging. In a first-time study in Africa, medical/dental researchers (N = 132) in two states in Nigeria were interviewed on a wide range of research wrongdoings and potential predictors. Using multivariate logistic regression, significant predictors of research wrongdoing were identified. Some 22.0% admitted to at least one of fabrication, falsification, and plagiarism, the predictors of which were knowledge gaps in research ethics and pressure to publish enough papers for promotion. Acknowledging inadequate knowledge of research ethics was a predictor of admitting a wrongdoing. Systems that support ethical research, including skilled training and funding, are recommended. PMID:23324199

Revisions of rump fat and body scoring indices for deer, elk, and moose

USGS Publications Warehouse

Cook, Rachel C.; Cook, John G.; Stephenson, Thomas R.; Myers, Woodrow L.; Mccorquodale, Scott M.; Vales, David J.; Irwin, Larry L.; Hall, P. Briggs; Spencer, Rocky D.; Murphie, Shannon L.; Schoenecker, Kathryn A.; Miller, Patrick J.

2010-01-01

Because they do not require sacrificing animals, body condition scores (BCS), thickness of rump fat (MAXFAT), and other similar predictors of body fat have advanced estimating nutritional condition of ungulates and their use has proliferated in North America in the last decade. However, initial testing of these predictors was too limited to assess their reliability among diverse habitats, ecotypes, subspecies, and populations across the continent. With data collected from mule deer (Odocoileus hemionus), elk (Cervus elaphus), and moose (Alces alces) during initial model development and data collected subsequently from free-ranging mule deer and elk herds across much of the western United States, we evaluated reliability across a broader range of conditions than were initially available. First, to more rigorously test reliability of the MAXFAT index, we evaluated its robustness across the 3 species, using an allometric scaling function to adjust for differences in animal size. We then evaluated MAXFAT, rump body condition score (rBCS), rLIVINDEX (an arithmetic combination of MAXFAT and rBCS), and our new allometrically scaled rump-fat thickness index using data from 815 free-ranging female Roosevelt and Rocky Mountain elk (C. e. roosevelti and C. e. nelsoni) from 19 populations encompassing 4 geographic regions and 250 free-ranging female mule deer from 7 populations and 2 regions. We tested for effects of subspecies, geographic region, and captive versus free-ranging existence. Rump-fat thickness, when scaled allometrically with body mass, was related to ingesta-free body fat over a 38–522-kg range of body mass (r2 = 0.87; P < 0.001), indicating the technique is remarkably robust among at least the 3 cervid species of our analysis. However, we found an underscoring bias with the rBCS for elk that had >12% body fat. This bias translated into a difference between subspecies, because Rocky Mountain elk tended to be fatter than Roosevelt elk in our sample. Effects of observer error with the rBCS also existed for mule deer with moderate to high levels of body fat, and deer body size significantly affected accuracy of the MAXFAT predictor. Our analyses confirm robustness of the rump-fat index for these 3 species but highlight the potential for bias due to differences in body size and to observer error with BCS scoring. We present alternative LIVINDEX equations where potential bias from rBCS and bias due to body size are eliminated or reduced. These modifications improve the accuracy of estimating body fat for projects intended to monitor nutritional status of herds or to evaluate nutrition's influence on population demographics.

Time-in-a-bottle (TIAB): a longitudinal, correlational study of patterns, potential predictors, and outcomes of immunosuppressive medication adherence in adult kidney transplant recipients.

PubMed

Russell, Cynthia L; Ashbaugh, Catherine; Peace, Leanne; Cetingok, Muammer; Hamburger, Karen Q; Owens, Sarah; Coffey, Deanna; Webb, Andrew W; Hathaway, Donna; Winsett, Rebecca P; Madsen, Richard; Wakefield, Mark R

2013-01-01

This study examined patterns, potential predictors, and outcomes of immunosuppressive medication adherence in a convenience sample of 121 kidney transplant recipients aged 21 yr or older from three kidney transplant centers using a theory-based, descriptive, correlational, longitudinal design. Electronic monitoring was conducted for 12 months using electronic monitoring. Participants were persistent in taking their immunosuppressive medications, but execution, which includes both taking and timing, was poor. Older age was the only demographic variable associated with medication adherence (r = 0.25; p = 0.005). Of the potential predictors examined, only medication self-efficacy was associated with medication non-adherence, explaining about 9% of the variance (r = 0.31, p = 0.0006). The few poor outcomes that occurred were not significantly associated with medication non-adherence, although the small number of poor outcomes may have limited our ability to detect a link. Future research should test fully powered, theory-based, experimental interventions that include a medication self-efficacy component. © 2013 John Wiley & Sons A/S.

Time-in-a-Bottle (TIAB): A Longitudinal, Correlational Study of Patterns, Potential Predictors, and Outcomes of Immunosuppressive Medication Adherence in Adult Kidney Transplant Recipients

PubMed Central

Russell, Cynthia L.; Ashbaugh, Catherine; Peace, Leanne; Cetingok, Muammer; Hamburger, Karen Q.; Owens, Sarah; Coffey, Deanna; Webb, Andrew; Hathaway, Donna; Winsett, Rebecca P.; Madsen, Richard; Wakefield, Mark R.

2013-01-01

This study examined patterns, potential predictors, and outcomes of immunosuppressive medication adherence in a convenience sample of 121 kidney transplant recipients aged 21 years or older from three kidney transplant centers using a theory-based, descriptive, correlational, longitudinal design. Electronic monitoring was conducted for 12 months using the Medication Event Monitoring System. Participants were persistent in taking their immunosuppressive medications, but execution, which includes both taking and timing, was poor. Older age was the only demographic variable associated with medication adherence (r = 0.25; p = 0.005). Of the potential predictors examined, only medication self-efficacy was associated with medication non-adherence, explaining about 9% of the variance (r = 0.31, p = 0.0006). The few poor outcomes that occurred were not significantly associated with medication non-adherence, although the small number of poor outcomes may have limited our ability to detect a link. Future research should test fully powered, theory-based, experimental interventions that include a medication self-efficacy component. PMID:24093614

Biomarkers of ovarian reserve as predictors of reproductive potential.

PubMed

Steiner, Anne Z

2013-11-01

The size of the oocyte pool, the ovarian reserve, can determine a woman's reproductive stage. Chronologic age, anti-Müllerian hormone (AMH) levels, early follicular phase follicle-stimulating hormone levels, and early follicular phase inhibin B levels are correlated with ovarian reserve. Therefore, these biomarkers of ovarian reserve should serve as predictors of reproductive potential. Clinical and epidemiologic studies suggest that historical and laboratory biomarkers of ovarian reserve are associated with natural and treatment-related fertility. However, controversy remains as to their ability to predict reproductive potential. For infertile women undergoing assisted reproductive technology treatment, these biomarkers tend to be highly specific but not sensitive for cycle failure (nonpregnancy). While these biomarkers are being used as "fertility tests" in the general population, their value as predictors of unassisted fertility is still uncertain. Among laboratory biomarkers, AMH appears to have the most promise; however, further studies are needed to refine cutoff values and to determine test characteristics in the prediction of natural fertility or infertility in the general population. Thieme Medical Publishers 333 Seventh Avenue, New York, NY 10001, USA.

Beliefs about the Potential Impacts of Exploiting Non-Timber Forest Products Predict Voluntary Participation in Monitoring

NASA Astrophysics Data System (ADS)

Dantas Brites, Alice; Morsello, Carla

2017-06-01

Harvesting and trading non-timber forest products is advocated as a win-win strategy for conservation and development, yet it can produce negative ecological and socioeconomic impacts. Hence, monitoring exploitation outcomes is essential, and participatory monitoring has been suggested to be the most suitable approach. Among possible approaches, participatory monitoring is preferred because it is likely to increase people's awareness and beliefs regarding impacts or potential impacts, thus inducing behavioral changes, although the evidence in this regard is contradictory. We therefore evaluated whether people's beliefs about the potential ecological and socioeconomic impacts of non-timber forest product exploitation increased their likelihood of volunteering to monitor. We studied a community of forest inhabitants in the Brazilian Amazon who harvested and traded a commercially important non-timber forest product. Two methods of data gathering were employed: (i) a survey of 166 adults (51 households) to evaluate people's beliefs and their stated intention to engage in four different monitoring tasks and (ii) four pilot monitoring tasks to evaluate who actually participated. Based on mixed-effects regressions, the results indicated that beliefs regarding both types of impacts could predict participation in certain tasks, although gender, age and schooling were occasionally stronger predictors. On average, people had stronger beliefs about potential socioeconomic impacts than about potential ecological impacts, with the former also predicting participation in ecological data gathering. This finding reinforces the importance of monitoring both types of impacts to help achieve the win-win outcomes originally proposed by non-timber forest product trade initiatives.

Beliefs about the Potential Impacts of Exploiting Non-Timber Forest Products Predict Voluntary Participation in Monitoring.

PubMed

Dantas Brites, Alice; Morsello, Carla

2017-06-01

Harvesting and trading non-timber forest products is advocated as a win-win strategy for conservation and development, yet it can produce negative ecological and socioeconomic impacts. Hence, monitoring exploitation outcomes is essential, and participatory monitoring has been suggested to be the most suitable approach. Among possible approaches, participatory monitoring is preferred because it is likely to increase people's awareness and beliefs regarding impacts or potential impacts, thus inducing behavioral changes, although the evidence in this regard is contradictory. We therefore evaluated whether people's beliefs about the potential ecological and socioeconomic impacts of non-timber forest product exploitation increased their likelihood of volunteering to monitor. We studied a community of forest inhabitants in the Brazilian Amazon who harvested and traded a commercially important non-timber forest product. Two methods of data gathering were employed: (i) a survey of 166 adults (51 households) to evaluate people's beliefs and their stated intention to engage in four different monitoring tasks and (ii) four pilot monitoring tasks to evaluate who actually participated. Based on mixed-effects regressions, the results indicated that beliefs regarding both types of impacts could predict participation in certain tasks, although gender, age and schooling were occasionally stronger predictors. On average, people had stronger beliefs about potential socioeconomic impacts than about potential ecological impacts, with the former also predicting participation in ecological data gathering. This finding reinforces the importance of monitoring both types of impacts to help achieve the win-win outcomes originally proposed by non-timber forest product trade initiatives.

Comparison of molecular breeding values based on within- and across-breed training in beef cattle.

PubMed

Kachman, Stephen D; Spangler, Matthew L; Bennett, Gary L; Hanford, Kathryn J; Kuehn, Larry A; Snelling, Warren M; Thallman, R Mark; Saatchi, Mahdi; Garrick, Dorian J; Schnabel, Robert D; Taylor, Jeremy F; Pollak, E John

2013-08-16

Although the efficacy of genomic predictors based on within-breed training looks promising, it is necessary to develop and evaluate across-breed predictors for the technology to be fully applied in the beef industry. The efficacies of genomic predictors trained in one breed and utilized to predict genetic merit in differing breeds based on simulation studies have been reported, as have the efficacies of predictors trained using data from multiple breeds to predict the genetic merit of purebreds. However, comparable studies using beef cattle field data have not been reported. Molecular breeding values for weaning and yearling weight were derived and evaluated using a database containing BovineSNP50 genotypes for 7294 animals from 13 breeds in the training set and 2277 animals from seven breeds (Angus, Red Angus, Hereford, Charolais, Gelbvieh, Limousin, and Simmental) in the evaluation set. Six single-breed and four across-breed genomic predictors were trained using pooled data from purebred animals. Molecular breeding values were evaluated using field data, including genotypes for 2227 animals and phenotypic records of animals born in 2008 or later. Accuracies of molecular breeding values were estimated based on the genetic correlation between the molecular breeding value and trait phenotype. With one exception, the estimated genetic correlations of within-breed molecular breeding values with trait phenotype were greater than 0.28 when evaluated in the breed used for training. Most estimated genetic correlations for the across-breed trained molecular breeding values were moderate (> 0.30). When molecular breeding values were evaluated in breeds that were not in the training set, estimated genetic correlations clustered around zero. Even for closely related breeds, within- or across-breed trained molecular breeding values have limited prediction accuracy for breeds that were not in the training set. For breeds in the training set, across- and within-breed trained molecular breeding values had similar accuracies. The benefit of adding data from other breeds to a within-breed training population is the ability to produce molecular breeding values that are more robust across breeds and these can be utilized until enough training data has been accumulated to allow for a within-breed training set.

Decreased NT-3 plasma levels and platelet serotonin content in patients with hypochondriasis.

PubMed

Brondino, Natascia; Lanati, Niccolò; Barale, Francesco; Martinelli, Valentina; Politi, Pierluigi; Geroldi, Diego; Emanuele, Enzo

2008-11-01

Neurotrophins (NT) are a family of closely related proteins, including brain-derived neurotrophic factor, nerve growth factor, neurotrophin-3 (NT-3), and neurotrophin-4/5 (NT-4/5). NTs are deemed to regulate several aspects of neuronal survival, development, and function. Although NTs have been associated to a variety of mental disorders, the potential role of NT alterations in hypochondriasis (HC) has never been investigated. In the present study, plasma concentrations of NTs were evaluated in 23 adult patients meeting Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, Text Revision criteria for HC and 22 healthy controls. Platelet serotonin (5-HT) content was chosen as a measure of serotonergic function. Hypochondriacal symptoms were assessed using the Whiteley Index of Hypochondriasis (WIH). Plasma NT-3 level (P=.004) and platelet 5-HT (P=.008) were significantly lower in patients with HC compared with controls. Correlation analyses showed that the WIH score was significantly and inversely associated with both NT-3 values (r=-.60, P=.002) and platelet serotonin content (r=-.53, P=.009). We used a multivariate regression model to determine independent predictors of the WIH score. After allowance for potential confounders, plasma NT-3 levels remained the unique independent predictor of the WIH (beta=.003, t=-3.5, P=.003). Decreased NT-3 concentration, alongside with serotonin dysfunction, may represent a biological correlate of HC.

Investigating Transitional Care to Decrease Post-pancreatectomy 30-Day Hospital Readmissions for Dehydration or Failure to Thrive.

PubMed

Xourafas, Dimitrios; Ablorh, Akweley; Clancy, Thomas E; Swanson, Richard S; Ashley, Stanley W

2016-06-01

Current literature emphasizes post-operative complications as a leading cause of post-pancreatectomy readmissions. Transitional care factors associated with potentially preventable conditions such as dehydration and failure to thrive (FTT) may play a significant role in readmission after pancreatectomy and have not been studied. Thirty-one post-pancreatectomy patients, who were readmitted for dehydration or FTT between 2009 and 2014, were compared to 141 nonreadmitted patients. Medical record review and a questionnaire-based survey, specifically designed to assess transitional care, were used to identify predictors of readmissions for dehydration or FTT. Logistic regression models were used to evaluate outcomes. On multivariable analysis, the strongest predictors of readmission for dehydration and FTT were the patient's lower educational level (P = 0.0233), the absence of family during the delivery of discharge instructions (P = 0.0098), episodic intermittent nausea at discharge (P = 0.0019), uncertainty about quantity, quality, or frequency of fluid intake (P = 0.0137), and the inability or failure to adhere to the clinician's instructions in the outpatient setting (P = 0.0048). Transitional-care-related factors are found to be associated with post-pancreatectomy readmission for dehydration and FTT. Using these results to identify high-risk patients and implement focused preventive measures combining efficient communication and optimal inpatient and outpatient management could potentially decrease readmission rates.

Risk Factors for Death in Bangladeshi Children Under 5 Years of Age Hospitalized for Diarrhea and Severe Respiratory Distress in an Urban Critical Care Ward

PubMed Central

Alam, Tahmina; Ahmed, Tahmeed; Sarmin, Monira; Shahrin, Lubaba; Afroze, Farzana; Sharifuzzaman; Akhter, Shamima; Shahunja, K. M.; Shahid, Abu Sadat Mohammad Sayeem Bin; Bardhan, Pradip Kumar; Chisti, Mohammod Jobayer

2017-01-01

Children with diarrhea hospitalized for respiratory distress often have fatal outcome in resource-limited settings, although data are lacking on risk factors for death in such children. We sought to evaluate clinical predictors for death in such children. In this prospective cohort study, we enrolled under-5 children with diarrhea admitted with severe respiratory distress to the intensive care unit of Dhaka Hospital of International Centre for Diarhoeal Disease Research, Bangladesh, from September 2014 through September 2015. We compared clinical and laboratory characteristics between study children those who died (n = 29) and those who survived (n = 62). In logistic regression analysis, after adjusting for potential confounders, the independent predictors for death in children hospitalized for diarrhea and severe respiratory distress were severe sepsis and hypoglycemia (P < .05 for all). Thus, recognition of these simple parameters may help clinicians identify children with diarrhea at risk of deaths in order to initiate prompt management for the better outcome, especially in resource-poor settings. PMID:28491923

Risk Factors for Death in Bangladeshi Children Under 5 Years of Age Hospitalized for Diarrhea and Severe Respiratory Distress in an Urban Critical Care Ward.

PubMed

Alam, Tahmina; Ahmed, Tahmeed; Sarmin, Monira; Shahrin, Lubaba; Afroze, Farzana; Sharifuzzaman; Akhter, Shamima; Shahunja, K M; Shahid, Abu Sadat Mohammad Sayeem Bin; Bardhan, Pradip Kumar; Chisti, Mohammod Jobayer

2017-01-01

Children with diarrhea hospitalized for respiratory distress often have fatal outcome in resource-limited settings, although data are lacking on risk factors for death in such children. We sought to evaluate clinical predictors for death in such children. In this prospective cohort study, we enrolled under-5 children with diarrhea admitted with severe respiratory distress to the intensive care unit of Dhaka Hospital of International Centre for Diarhoeal Disease Research, Bangladesh, from September 2014 through September 2015. We compared clinical and laboratory characteristics between study children those who died (n = 29) and those who survived (n = 62). In logistic regression analysis, after adjusting for potential confounders, the independent predictors for death in children hospitalized for diarrhea and severe respiratory distress were severe sepsis and hypoglycemia ( P < .05 for all). Thus, recognition of these simple parameters may help clinicians identify children with diarrhea at risk of deaths in order to initiate prompt management for the better outcome, especially in resource-poor settings.

Parafunctional habits are associated cumulatively to painful temporomandibular disorders in adolescents.

PubMed

Fernandes, Giovana; Franco-Micheloni, Ana Lúcia; Siqueira, José Tadeu Tesseroli; Gonçalves, Daniela Aparecida Godói; Camparis, Cinara Maria

2016-01-01

This cross-sectional study was designed to evaluate the effect of sleep bruxism, awake bruxism and parafunctional habits, both separately and cumulatively, on the likelihood of adolescents to present painful TMD. The study was conducted on a sample of 1,094 adolescents (aged 12-14). The presence of painful TMD was assessed using the Research Diagnostic Criteria for Temporomandibular Disorders, Axis I. Data on sleep bruxism, awake bruxism and parafunctional habits (nail/pen/pencil/lip/cheek biting, resting one's head on one's hand, and gum chewing) were researched by self-report. After adjusting for potential demographic confounders using logistic regression, each of the predictor variables (sleep bruxism, awake bruxism and parafunctional habits) was significantly associated with painful TMD. In addition, the odds for painful TMD were higher in the concomitant presence of two (OR=4.6, [95%CI=2.06, 10.37]) or three predictor (OR=13.7, [95%CI=5.72, 32.96]) variables. These findings indicate that the presence of concomitant muscle activities during sleep and awake bruxism and parafunctional habits increases the likelihood almost linearly of adolescents to present painful TMD.

Re-evaluating the relationships among filtering activity, unnecessary storage, and visual working memory capacity.

PubMed

Emrich, Stephen M; Busseri, Michael A

2015-09-01

The amount of task-irrelevant information encoded in visual working memory (VWM), referred to as unnecessary storage, has been proposed as a potential mechanism underlying individual differences in VWM capacity. In addition, a number of studies have provided evidence for additional activity that initiates the filtering process originating in the frontal cortex and basal ganglia, and is therefore a crucial step in the link between unnecessary storage and VWM capacity. Here, we re-examine data from two prominent studies that identified unnecessary storage activity as a predictor of VWM capacity by directly testing the implied path model linking filtering-related activity, unnecessary storage, and VWM capacity. Across both studies, we found that unnecessary storage was not a significant predictor of individual differences in VWM capacity once activity associated with filtering was accounted for; instead, activity associated with filtering better explained variation in VWM capacity. These findings suggest that unnecessary storage is not a limiting factor in VWM performance, whereas neural activity associated with filtering may play a more central role in determining VWM performance that goes beyond preventing unnecessary storage.

Assessing the oral health of an ageing population: methods, challenges and predictors of survey participation.

PubMed

Matthews, Debora C; Brillant, Martha G S; Clovis, Joanne B; McNally, Mary E; Filiaggi, Mark J; Kotzer, Robert D; Lawrence, Herenia P

2012-06-01

To examine predictors of participation and to describe the methodological considerations of conducting a two-stage population-based oral health survey. An observational, cross-sectional survey (telephone interview and clinical oral examination) of community-dwelling adults aged 45-64 and ≥65 living in Nova Scotia, Canada was conducted. The survey response rate was 21% for the interview and 13.5% for the examination. A total of 1141 participants completed one or both components of the survey. Both age groups had higher levels of education than the target population; the age 45-64 sample also had a higher proportion of females and lower levels of employment than the target population. Completers (participants who completed interview and examination) were compared with partial completers (who completed only the interview), and stepwise logistic regression was performed to examine predictors of completion. Identified predictors were as follows: not working, post-secondary education and frequent dental visits. Recruitment, communications and logistics present challenges in conducting a province-wide survey. Identification of employment, education and dental visit frequency as predictors of survey participation provide insight into possible non-response bias and suggest potential for underestimation of oral disease prevalence in this and similar surveys. This potential must be considered in analysis and in future recruitment strategies. © 2011 The Gerodontology Society and John Wiley & Sons A/S.

Body image flexibility: A predictor and moderator of outcome in transdiagnostic outpatient eating disorder treatment.

PubMed

Pellizzer, Mia L; Waller, Glenn; Wade, Tracey D

2018-04-01

Predictors of attrition and predictors and moderators of outcome were explored in a transdiagnostic sample of patients who received ten-session cognitive behavioral therapy (CBT-T) for nonunderweight eating disorders. Body image flexibility, a protective positive body image construct, was hypothesized to be a significant moderator. Data from two case series were combined to form a sample of 78 participants who received CBT-T. Baseline measures of body image, negative affect, personality, and motivation (readiness to change and self-efficacy) were included as potential predictors. Global eating disorder psychopathology at each assessment point (baseline, mid- and post-treatment, 1- and 3-month follow-up) was the outcome variable. Predictors of attrition were assessed using logistic regression, and multilevel modeling was applied for predictors and moderators of outcome. Body image flexibility emerged as the strongest predictor and moderator of global eating disorder psychopathology, followed by body image avoidance. Body checking, negative affect, personality beliefs, and self-efficacy were significant predictors of global eating disorder psychopathology. Higher body image flexibility predicted lower global eating disorder psychopathology at every assessment point. Further research is required to replicate findings and explore the benefit of focusing on positive body image in treatment. © 2018 Wiley Periodicals, Inc.

Predictors of micro-costing components in liver transplantation

PubMed Central

de Paiva Haddad, Luciana Bertocco; Ducatti, Liliana; Mendes, Luana Regina Baratelli Carelli; Andraus, Wellington; D’Albuquerque, Luiz Augusto Carneiro

2017-01-01

OBJECTIVES: Although liver transplantation procedures are common and highly expensive, their cost structure is still poorly understood. This study aimed to develop models of micro-costs among patients undergoing liver transplantation procedures while comparing the role of individual clinical predictors using tree regression models. METHODS: We prospectively collected micro-cost data from patients undergoing liver transplantation in a tertiary academic center. Data collection was conducted using an Intranet registry integrated into the institution’s database for the storing of financial and clinical data for transplantation cases. RESULTS: A total of 278 patients were included and accounted for 300 procedures. When evaluating specific costs for the operating room, intensive care unit and ward, we found that in all of the sectors but the ward, human resources were responsible for the highest costs. High cost supplies were important drivers for the operating room, whereas drugs were among the top four drivers for all sectors. When evaluating the predictors of total cost, a MELD score greater than 30 was the most important predictor of high cost, followed by a Donor Risk Index greater than 1.8. CONCLUSION: By focusing on the highest cost drivers and predictors, hospitals can initiate programs to reduce cost while maintaining high quality care standards. PMID:28658432

What factors influence attending surgeon decisions about resident autonomy in the operating room?

PubMed

Williams, Reed G; George, Brian C; Meyerson, Shari L; Bohnen, Jordan D; Dunnington, Gary L; Schuller, Mary C; Torbeck, Laura; Mullen, John T; Auyang, Edward; Chipman, Jeffrey G; Choi, Jennifer; Choti, Michael; Endean, Eric; Foley, Eugene F; Mandell, Samuel; Meier, Andreas; Smink, Douglas S; Terhune, Kyla P; Wise, Paul; DaRosa, Debra; Soper, Nathaniel; Zwischenberger, Joseph B; Lillemoe, Keith D; Fryer, Jonathan P

2017-12-01

Educating residents in the operating room requires balancing patient safety, operating room efficiency demands, and resident learning needs. This study explores 4 factors that influence the amount of autonomy supervising surgeons afford to residents. We evaluated 7,297 operations performed by 487 general surgery residents and evaluated by 424 supervising surgeons from 14 training programs. The primary outcome measure was supervising surgeon autonomy granted to the resident during the operative procedure. Predictor variables included resident performance on that case, supervising surgeon history with granting autonomy, resident training level, and case difficulty. Resident performance was the strongest predictor of autonomy granted. Typical autonomy by supervising surgeon was the second most important predictor. Each additional factor led to a smaller but still significant improvement in ability to predict the supervising surgeon's autonomy decision. The 4 factors together accounted for 54% of decision variance (r = 0.74). Residents' operative performance in each case was the strongest predictor of how much autonomy was allowed in that case. Typical autonomy granted by the supervising surgeon, the second most important predictor, is unrelated to resident proficiency and warrants efforts to ensure that residents perform each procedure with many different supervisors. Copyright © 2017 Elsevier Inc. All rights reserved.

The precision of peri-oestrous predictors of the date of onset of parturition in the bitch.

PubMed

De Cramer, K G M; Nöthling, J O

2017-07-01

Precise prediction of the date of onset of parturition in the bitch is clinically important. The study compared the precision with which four peri-oestrous predictors predict the date of onset of parturition. The predictors evaluated in 24 bitches were: the date of the first or only day of the LH surge, the date on which the concentration of progesterone in the blood plasma first exceeded 6 nmol/L, the date on which the concentration of progesterone in the blood plasma first exceeded 16 nmol/L and the date of onset of cytological dioestrus. Among the 24 bitches, the date of onset of cytological dioestrus predicted the date of onset of parturition with greater precision than the other three predictors. Following the evaluation of another 218 intervals between the onset of cytological dioestrus and the date of onset of parturition, it was shown that the onset of cytological dioestrus predicted the date of onset parturition with a precision of ±1 d, ± 2 d and ±3 d in 88%, 99% and 100% of the 242 pregnancies. This study concludes that the first day of cytological dioestrus is a useful predictor of the date of onset of parturition. Copyright © 2017. Published by Elsevier Inc.

Action control of exercise behavior: evaluation of social cognition, cross-behavioral regulation, and automaticity.

PubMed

Rhodes, Ryan E; Fiala, Bonnie; Nasuti, Gabriella

2012-01-01

Intention is considered the proximal determinant of behavior in many popular theories applied to understanding physical activity, yet intention-behavior discordance is high. Thus, an understanding of constructs that facilitate or inhibit the successful translation of intentions into behavior is both timely and important. The action control approach of dividing the intention-behavior relationship into quadrants of successful/unsuccessful intenders has shown utility in the past by demonstrating the magnitude of intention-behavior discordance and allowing for an outcome variable to test predictors. The purpose of this article was to evaluate automaticity and cross-behavioral regulation as predictors of exercise action control, in conjunction with other more standard social cognitive predictors of perceived behavioral control and affective and instrumental attitudes. Participants were a random sample of 263 college students who completed predictor measures at time one, followed by exercise behavior two weeks later. Participants were classified into three intention-behavior profiles: (1) nonintenders (14.1%; n = 31), (2) unsuccessful intenders (35.5%; n = 78), and (3) successful intenders (48.6%; n = 107). Affective attitude, perceived behavioral control, automaticity, and cross-behavioral regulation were predictors of action control. The results demonstrate that automaticity and cross-behavioral regulation, constructs not typically used in intention-based theories, predict intention-behavior discordance.

Predictors of Binge Eating among Bariatric Surgery Candidates: Disinhibition as a Mediator of the Relationship Between Depressive Symptoms and Binge Eating.

PubMed

Cox, Stephanie; Brode, Cassie

2018-02-07

Current and lifetime psychopathology is common in adult patients seeking bariatric surgery, with major depressive disorder and binge eating disorder affecting a higher proportion of this group than the general population. While depressive symptoms have been previously associated with eating pathology, potential mediators of this relationship are not well understood. This study used a naturalistic, retrospective design to investigate cognitive and behavioral aspects of eating behavior (cognitive restraint, disinhibition, and hunger) as potential mediators of the relationship between depressive symptoms and binge eating within a sample of 119 adult patients (82.4% female; 96.6% white; mean age = 47 years) seeking bariatric surgery (Roux-en-Y and sleeve gastrectomy) at a large university medical center. Patients completed a standardized presurgical psychological evaluation to determine appropriateness for bariatric surgery as part of routine clinical practice. Binge eating was assessed via clinician rating (number of binge eating episodes per week) based on DSM-IV diagnostic criteria and self-report measures (Binge Eating Scale) in order to account for potential methodological differences. Depressive symptoms were assessed using the Beck Depression Inventory. Depressive symptoms were a significant predictor of binge eating, disinhibition, and hunger. However, only disinhibition emerged as a significant mediator of the relationship between depressive symptoms and binge eating. Behavioral disinhibition, or a tendency toward overconsumption of food and challenges restraining impulses associated with a loss of control eating, may represent an important variable in determining the relation between depressive symptoms and binge eating, in bariatric surgery patients.

Watching pornographic pictures on the Internet: role of sexual arousal ratings and psychological-psychiatric symptoms for using Internet sex sites excessively.

PubMed

Brand, Matthias; Laier, Christian; Pawlikowski, Mirko; Schächtle, Ulrich; Schöler, Tobias; Altstötter-Gleich, Christine

2011-06-01

Excessive or addictive Internet use can be linked to different online activities, such as Internet gaming or cybersex. The usage of Internet pornography sites is one important facet of online sexual activity. The aim of the present work was to examine potential predictors of a tendency toward cybersex addiction in terms of subjective complaints in everyday life due to online sexual activities. We focused on the subjective evaluation of Internet pornographic material with respect to sexual arousal and emotional valence, as well as on psychological symptoms as potential predictors. We examined 89 heterosexual, male participants with an experimental task assessing subjective sexual arousal and emotional valence of Internet pornographic pictures. The Internet Addiction Test (IAT) and a modified version of the IAT for online sexual activities (IATsex), as well as several further questionnaires measuring psychological symptoms and facets of personality were also administered to the participants. Results indicate that self-reported problems in daily life linked to online sexual activities were predicted by subjective sexual arousal ratings of the pornographic material, global severity of psychological symptoms, and the number of sex applications used when being on Internet sex sites in daily life, while the time spent on Internet sex sites (minutes per day) did not significantly contribute to explanation of variance in IATsex score. Personality facets were not significantly correlated with the IATsex score. The study demonstrates the important role of subjective arousal and psychological symptoms as potential correlates of development or maintenance of excessive online sexual activity.

OPAL: prediction of MoRF regions in intrinsically disordered protein sequences.

PubMed

Sharma, Ronesh; Raicar, Gaurav; Tsunoda, Tatsuhiko; Patil, Ashwini; Sharma, Alok

2018-06-01

Intrinsically disordered proteins lack stable 3-dimensional structure and play a crucial role in performing various biological functions. Key to their biological function are the molecular recognition features (MoRFs) located within long disordered regions. Computationally identifying these MoRFs from disordered protein sequences is a challenging task. In this study, we present a new MoRF predictor, OPAL, to identify MoRFs in disordered protein sequences. OPAL utilizes two independent sources of information computed using different component predictors. The scores are processed and combined using common averaging method. The first score is computed using a component MoRF predictor which utilizes composition and sequence similarity of MoRF and non-MoRF regions to detect MoRFs. The second score is calculated using half-sphere exposure (HSE), solvent accessible surface area (ASA) and backbone angle information of the disordered protein sequence, using information from the amino acid properties of flanks surrounding the MoRFs to distinguish MoRF and non-MoRF residues. OPAL is evaluated using test sets that were previously used to evaluate MoRF predictors, MoRFpred, MoRFchibi and MoRFchibi-web. The results demonstrate that OPAL outperforms all the available MoRF predictors and is the most accurate predictor available for MoRF prediction. It is available at http://www.alok-ai-lab.com/tools/opal/. ashwini@hgc.jp or alok.sharma@griffith.edu.au. Supplementary data are available at Bioinformatics online.

The Child and Adolescent Services Assessment: Interrater Reliability and Predictors of Rater Disagreement.

PubMed

Schwartz, Karen T G; Bowling, Amanda A; Dickerson, John F; Lynch, Frances L; Brent, David A; Porta, Giovanna; Iyengar, Satish; Weersing, V Robin

2018-05-24

The current study evaluated the interrater reliability of the Child and Adolescent Services Assessment (CASA), a widely used structured interview measuring pediatric mental health service use. Interviews (N = 72) were randomly selected from a pediatric effectiveness trial, and audio was coded by an independent rater. Regressions were employed to identify predictors of rater disagreement. Interrater reliability was high for items (> 94%) and summary metrics (ICC > .79) across service sectors. Predictors of disagreement varied by domain; significant predictors indexed higher clinical severity or social disadvantage. Results support the CASA as a reliable and robust assessment of pediatric service use, but administrators should be alert when assessing vulnerable populations.

Predictors of Total Mortality and Echocardiographic Response for Cardiac Resynchronization Therapy: A Cohort Study

PubMed Central

Gazzoni, Guilherme Ferreira; Fraga, Matheus Bom; Ferrari, Andres Di Leoni; Soliz, Pablo da Costa; Borges, Anibal Pires; Bartholomay, Eduardo; Kalil, Carlos Antonio Abunader; Giaretta, Vanessa; Rohde, Luis Eduardo Paim

2017-01-01

Background Clinical studies demonstrate that up to 40% of patients do not respond to cardiac resynchronization therapy (CRT), thus, appropriate patient selection is critical to the success of CRT in heart failure. Objective Evaluation of mortality predictors and response to CRT in the Brazilian scenario. Methods Retrospective cohort study including patients submitted to CRT in a tertiary hospital in southern Brazil from 2008 to 2014. Survival was assessed through a database of the State Department of Health (RS). Predictors of echocardiographic response were evaluated using Poisson regression. Survival analysis was performed by Cox regression and Kaplan Meyer curves. A two-tailed p value less than 0.05 was considered statistically significant. Results A total of 170 patients with an average follow-up of 1011 ± 632 days were included. The total mortality was 30%. The independent predictors of mortality were age (hazard ratio [HR] of 1.05, p = 0.027), previous acute myocardial infarction (AMI) (HR of 2.17, p = 0.049) and chronic obstructive pulmonary disease (COPD) (HR of 3.13, p = 0.015). The percentage of biventricular stimulation at 6 months was identified as protective factor of mortality ([HR] 0.97, p = 0.048). The independent predictors associated with the echocardiographic response were absence of mitral insufficiency, presence of left bundle branch block and percentage of biventricular stimulation. Conclusion Mortality in patients submitted to CRT in a tertiary hospital was independently associated with age, presence of COPD and previous AMI. The percentage of biventricular pacing evaluated 6 months after resynchronizer implantation was independently associated with improved survival and echocardiographic response. PMID:29185615

Improving Adherence to Web-Based and Mobile Technologies for People With Psychosis: Systematic Review of New Potential Predictors of Adherence.

PubMed

Killikelly, Clare; He, Zhimin; Reeder, Clare; Wykes, Til

2017-07-20

Despite the boom in new technologically based interventions for people with psychosis, recent studies suggest medium to low rates of adherence to these types of interventions. The benefits will be limited if only a minority of service users adhere and engage; if specific predictors of adherence can be identified then technologies can be adapted to increase the service user benefits. The study aimed to present a systematic review of rates of adherence, dropout, and approaches to analyzing adherence to newly developed mobile and Web-based interventions for people with psychosis. Specific predictors of adherence were also explored. Using keywords (Internet or online or Web-based or website or mobile) AND (bipolar disorder or manic depression or manic depressive illness or manic-depressive psychosis or psychosis or schizophr* or psychotic), the following databases were searched: OVID including MedLine, EMBASE and PsychInfo, Pubmed and Web of Science. The objectives and inclusion criteria for suitable studies were defined following PICOS (population: people with psychosis; intervention: mobile or Internet-based technology; comparison group: no comparison group specified; outcomes: measures of adherence; study design: randomized controlled trials (RCT), feasibility studies, and observational studies) criteria. In addition to measurement and analysis of adherence, two theoretically proposed predictors of adherence were examined: (1) level of support from a clinician or researcher throughout the study, and (2) level of service user involvement in the app or intervention development. We provide a narrative synthesis of the findings and followed the preferred reporting items for systematic reviews and meta-analyses (PRISMA) guidelines for reporting systematic reviews. Of the 20 studies that reported a measure of adherence and a rate of dropout, 5 of these conducted statistical analyses to determine predictors of dropout, 6 analyzed the effects of specific adherence predictors (eg, symptom severity or type of technological interface) on the effects of the intervention, 4 administered poststudy feedback questionnaires to assess continued use of the intervention, and 2 studies evaluated the effects of different types of interventions on adherence. Overall, the percentage of participants adhering to interventions ranged from 28-100% with a mean of 83%. Adherence was greater in studies with higher levels of social support and service user involvement in the development of the intervention. Studies of shorter duration also had higher rates of adherence. Adherence to mobile and Web-based interventions was robust across most studies. Although 2 studies found specific predictors of nonadherence (male gender and younger age), most did not specifically analyze predictors. The duration of the study may be an important predictor of adherence. Future studies should consider reporting a universal measure of adherence and aim to conduct complex analyses on predictors of adherence such as level of social presence and service user involvement. ©Clare Killikelly, Zhimin He, Clare Reeder, Til Wykes. Originally published in JMIR Mhealth and Uhealth (http://mhealth.jmir.org), 20.07.2017.

Prediction of myocardial functional recovery by noninvasive evaluation of Basal and hyperemic coronary flow in patients with previous myocardial infarction.

PubMed

Djordjevic-Dikic, Ana; Beleslin, Branko; Stepanovic, Jelena; Giga, Vojislav; Tesic, Milorad; Dobric, Milan; Stojkovic, Sinisa; Nedeljkovic, Milan; Vukcevic, Vladan; Dikic, Nenad; Petrasinovic, Zorica; Nedeljkovic, Ivana; Tomasevic, Miloje; Vujisic-Tesic, Bosiljka; Ostojic, Miodrag

2011-05-01

The aim of this study was to evaluate the relation of basal and hyperemic coronary flow with myocardial functional improvement in patients with previous myocardial infarction undergoing elective percutaneous coronary intervention (PCI). Coronary flow was measured using transthoracic Doppler echocardiography in 50 patients (41 men; mean age, 53 ± 8 years) with previous myocardial infarction before, 24 hours, and 3 months after elective PCI. Diastolic deceleration time (DDT) was measured from the peak diastolic velocity to the point of intercept of initial decay slope with baseline. Coronary flow reserve (CFR) was calculated as the ratio of hyperemic to basal peak diastolic flow velocities. In comparison with patients without improvements in left ventricular function, patients with recovered left ventricular function had longer DDTs before angioplasty (841 ± 286 vs. 435 ± 80 msec, P < .001). CFR was significantly higher in recovered compared with nonrecovered patients (2.60 ± 0.70 vs. 2.16 ± 0.34, P = .034) 24 hours after PCI. Global and regional wall motion scores before PCI, end-diastolic and end-systolic volumes, and CFR 24 hours after PCI and DDT before PCI were univariate predictors of left ventricular functional recovery. By multivariate analysis, DDT and regional wall motion score before PCI were independent predictors of left ventricular recovery in the follow-up period (P = .003 and P = .007, respectively). In patients with previous myocardial infarction undergoing elective PCI, evaluation of basal coronary flow pattern and measurement of DDT before angioplasty may predict functional improvement of myocardium in the follow-up period and could be useful quantitative parameters in the evaluation of potential improvement in myocardial function. Copyright © 2011 American Society of Echocardiography. Published by Mosby, Inc. All rights reserved.

Improving the Spatial Prediction of Soil Organic Carbon Stocks in a Complex Tropical Mountain Landscape by Methodological Specifications in Machine Learning Approaches

PubMed Central

Schmidt, Johannes; Glaser, Bruno

2016-01-01

Tropical forests are significant carbon sinks and their soils’ carbon storage potential is immense. However, little is known about the soil organic carbon (SOC) stocks of tropical mountain areas whose complex soil-landscape and difficult accessibility pose a challenge to spatial analysis. The choice of methodology for spatial prediction is of high importance to improve the expected poor model results in case of low predictor-response correlations. Four aspects were considered to improve model performance in predicting SOC stocks of the organic layer of a tropical mountain forest landscape: Different spatial predictor settings, predictor selection strategies, various machine learning algorithms and model tuning. Five machine learning algorithms: random forests, artificial neural networks, multivariate adaptive regression splines, boosted regression trees and support vector machines were trained and tuned to predict SOC stocks from predictors derived from a digital elevation model and satellite image. Topographical predictors were calculated with a GIS search radius of 45 to 615 m. Finally, three predictor selection strategies were applied to the total set of 236 predictors. All machine learning algorithms—including the model tuning and predictor selection—were compared via five repetitions of a tenfold cross-validation. The boosted regression tree algorithm resulted in the overall best model. SOC stocks ranged between 0.2 to 17.7 kg m-2, displaying a huge variability with diffuse insolation and curvatures of different scale guiding the spatial pattern. Predictor selection and model tuning improved the models’ predictive performance in all five machine learning algorithms. The rather low number of selected predictors favours forward compared to backward selection procedures. Choosing predictors due to their indiviual performance was vanquished by the two procedures which accounted for predictor interaction. PMID:27128736

Improving the Spatial Prediction of Soil Organic Carbon Stocks in a Complex Tropical Mountain Landscape by Methodological Specifications in Machine Learning Approaches.

PubMed

Ließ, Mareike; Schmidt, Johannes; Glaser, Bruno

2016-01-01

Tropical forests are significant carbon sinks and their soils' carbon storage potential is immense. However, little is known about the soil organic carbon (SOC) stocks of tropical mountain areas whose complex soil-landscape and difficult accessibility pose a challenge to spatial analysis. The choice of methodology for spatial prediction is of high importance to improve the expected poor model results in case of low predictor-response correlations. Four aspects were considered to improve model performance in predicting SOC stocks of the organic layer of a tropical mountain forest landscape: Different spatial predictor settings, predictor selection strategies, various machine learning algorithms and model tuning. Five machine learning algorithms: random forests, artificial neural networks, multivariate adaptive regression splines, boosted regression trees and support vector machines were trained and tuned to predict SOC stocks from predictors derived from a digital elevation model and satellite image. Topographical predictors were calculated with a GIS search radius of 45 to 615 m. Finally, three predictor selection strategies were applied to the total set of 236 predictors. All machine learning algorithms-including the model tuning and predictor selection-were compared via five repetitions of a tenfold cross-validation. The boosted regression tree algorithm resulted in the overall best model. SOC stocks ranged between 0.2 to 17.7 kg m-2, displaying a huge variability with diffuse insolation and curvatures of different scale guiding the spatial pattern. Predictor selection and model tuning improved the models' predictive performance in all five machine learning algorithms. The rather low number of selected predictors favours forward compared to backward selection procedures. Choosing predictors due to their indiviual performance was vanquished by the two procedures which accounted for predictor interaction.

Self-esteem and social support as moderators of depression, body image, and disordered eating for suicidal ideation in adolescents.

PubMed

Brausch, Amy M; Decker, Kristina M

2014-01-01

The current study investigated risk factors for suicidal ideation in a community sample of 392 adolescents (males 51.9 %; females 48.1 %), while also evaluating self-esteem, perceived parent support, and perceived peer support as protective factors and potential moderators between suicidal ideation and the 3 risk factors. Disordered eating, depression, parent support, and peer support were found to be significant predictors of current suicidal ideation, but body satisfaction was not. The relationship between depression and suicidal ideation was significantly moderated by both self-esteem and parent support, while the relationship between disordered eating and suicidal ideation was significantly moderated by peer support. Results underscore the importance of examining protective factors for suicide risk, as they have the potential to reduce suicidal ideation in adolescents.

Subcutaneous Tissue Thickness is an Independent Predictor of Image Noise in Cardiac CT

PubMed Central

Staniak, Henrique Lane; Sharovsky, Rodolfo; Pereira, Alexandre Costa; de Castro, Cláudio Campi; Benseñor, Isabela M.; Lotufo, Paulo A.; Bittencourt, Márcio Sommer

2014-01-01

Background Few data on the definition of simple robust parameters to predict image noise in cardiac computed tomography (CT) exist. Objectives To evaluate the value of a simple measure of subcutaneous tissue as a predictor of image noise in cardiac CT. Methods 86 patients underwent prospective ECG-gated coronary computed tomographic angiography (CTA) and coronary calcium scoring (CAC) with 120 kV and 150 mA. The image quality was objectively measured by the image noise in the aorta in the cardiac CTA, and low noise was defined as noise < 30HU. The chest anteroposterior diameter and lateral width, the image noise in the aorta and the skin-sternum (SS) thickness were measured as predictors of cardiac CTA noise. The association of the predictors and image noise was performed by using Pearson correlation. Results The mean radiation dose was 3.5 ± 1.5 mSv. The mean image noise in CT was 36.3 ± 8.5 HU, and the mean image noise in non-contrast scan was 17.7 ± 4.4 HU. All predictors were independently associated with cardiac CTA noise. The best predictors were SS thickness, with a correlation of 0.70 (p < 0.001), and noise in the non-contrast images, with a correlation of 0.73 (p < 0.001). When evaluating the ability to predict low image noise, the areas under the ROC curve for the non-contrast noise and for the SS thickness were 0.837 and 0.864, respectively. Conclusion Both SS thickness and CAC noise are simple accurate predictors of cardiac CTA image noise. Those parameters can be incorporated in standard CT protocols to adequately adjust radiation exposure. PMID:24173136

RISK FACTORS FOR AND SPATIAL DISTRIBUTION OF LYMPHOPROLIFERATIVE DISEASE VIRUS (LPDV) IN WILD TURKEYS (MELEAGRIS GALLOPAVO) IN NEW YORK STATE, USA.

PubMed

Alger, Katrina; Bunting, Elizabeth; Schuler, Krysten; Whipps, Christopher M

2017-07-01

Lymphoproliferative disease virus (LPDV) is an oncogenic avian retrovirus that was previously thought to exclusively infect domestic turkeys but was recently shown to be widespread in Wild Turkeys ( Meleagris gallopavo ) throughout most of the eastern US. In commercial flocks, the virus spreads between birds housed in close quarters, but there is little information about potential risk factors for infection in wild birds. Initial studies focused on distribution of LPDV nationally, but investigation of state-level data is necessary to assess potential predictors of infection and detect patterns in disease prevalence and distribution. We tested wild turkey bone marrow samples (n=2,538) obtained from hunter-harvested birds in New York State from 2012 to 2014 for LPDV infection. Statewide prevalence for those 3 yr was 55% with a 95% confidence interval (CI) of 53-57%. We evaluated a suite of demographic, anthropogenic, and land cover characteristics with logistic regression to identify potential predictors for infection based on odds ratio (OR). Age (OR=0.16, 95% CI=0.13-0.19) and sex (OR=1.3, 95% CI=1.03-1.24) were strong predictors of LPDV infection, with juveniles less likely to test positive than adults, and females more likely to test positive than males. The number of birds released during the state's 40-yr translocation program (OR=0.993, 95% CI=0.990-0.997) and the ratio of agriculture to forest cover (OR=1.13, 95% CI=1.03-1.19) were also predictive of LPDV infection. Prevalence distribution was analyzed using dual kernel density smoothing to produce a risk surface map, combined with Kulldorff's spatial scan statistic and the Anselin Local Moran's I to identify statistically significant geographic clusters of high or low prevalence. These methods revealed the prevalence of LPDV was high (>50%) throughout New York State, with regions of variation and several significant clusters. We revealed new information about the risk factors and distribution of LPDV in New York State, which may be beneficial to game bird managers and producers of organic or pasture-raised poultry.

Potential role of liver enzymes levels as predictor markers of glucose metabolism disorders in Tunisian population.

PubMed

Bouhajja, Houda; Abdelhedi, Rania; Amouri, Ali; Hadj Kacem, Faten; Marrakchi, Rim; Safi, Wajdi; Mrabet, Houcem; Chtourou, Lassaad; Charfi, Nadia; Fourati, Mouna; Bensassi, Salwa; Jamoussi, Kamel; Abid, Mohamed; Ayadi, Hammadi; Feki, Mouna Mnif; Elleuch, Noura Bougacha

2018-03-10

The relationship between liver enzymes and type 2 diabetes (T2D) risk is inconclusive. We aimed to evaluate the association between liver markers and risk of carbohydrate metabolism disorders and their discriminatory power for T2D prediction. This cross-sectional study enrolled 216 participants classified as normoglycemic, prediabetes, newly-diagnosed diabetes and diagnosed diabetes. All participants underwent anthropometric and biochemical measurements. The relationship between hepatic enzymes and glucose metabolism markers was evaluated by ANCOVA analyses. The associations between liver enzymes and incident carbohydrate metabolism disorders were analyzed through logistic regression and their discriminatory capacity for T2D by receiver operating characteristic (ROC) analysis. High alkaline phosphatase (AP), alanine aminotransferase (ALT), γ-glutamyltransferase (γGT) and aspartate aminotrasferase (AST) levels were independently related to decreased insulin sensitivity. Interestingly, higher AP level was significantly associated with increased risk of prediabetes (p=0.017), newly-diagnosed diabetes (p=0.004) and T2D (p=0.007). Elevated γGT level was an independent risk factor for T2D (p=0.032) and undiagnosed-T2D (p=0.010) in prediabetic and normoglycemic subjects, respectively. In ROC analysis, AP was a powerful predictor of incident diabetes and significantly improved T2D prediction. Liver enzymes within normal range, specifically AP levels, are associated with increased risk of carbohydrate metabolism disorders and significantly improved T2D prediction.

Evaluation of the use of partition coefficients and molecular surface properties as predictors of drug absorption: a provisional biopharmaceutical classification of the list of national essential medicines of Pakistan

PubMed Central

Shawahna, R.; Rahman, NU.

2011-01-01

Background and the purpose of the study Partition coefficients (log D and log P) and molecular surface area (PSA) are potential predictors of the intestinal permeability of drugs. The aim of this investigation was to evaluate and compare these intestinal permeability indicators. Methods Aqueous solubility data were obtained from literature or calculated using ACD/Labs and ALOGPS. Permeability data were predicted based on log P, log D at pH 6.0 (log D6.0), and PSA. Results Metoprolol's log P, log D6.0, and a PSA of <65 Å correctly predicted 55.9%, 50.8% and 54.2% of permeability classes, respectively. Labetalol's log P, log D6.0 and PSA correctly predicted 54.2%, 64.4% and 61% of permeability classes, respectively. Log D6.0 correlated well (81%) with Caco-2 permeability (Papp). Of the list of national essential medicines, 135 orally administered drugs were classified into biopharmaceutical classification system (BCS). Of these, 57 (42.2%), 28 (20.7%), 44 (32.6%), and 6 (4.4%) were class I, II, III and IV respectively. Conclusion Log D6.0 showed better prediction capability than log P. Metoprolol as permeability internal standard was more conservative than labetalol. PMID:22615645

Application of biomarkers in cancer risk management: evaluation from stochastic clonal evolutionary and dynamic system optimization points of view.

PubMed

Li, Xiaohong; Blount, Patricia L; Vaughan, Thomas L; Reid, Brian J

2011-02-01

Aside from primary prevention, early detection remains the most effective way to decrease mortality associated with the majority of solid cancers. Previous cancer screening models are largely based on classification of at-risk populations into three conceptually defined groups (normal, cancer without symptoms, and cancer with symptoms). Unfortunately, this approach has achieved limited successes in reducing cancer mortality. With advances in molecular biology and genomic technologies, many candidate somatic genetic and epigenetic "biomarkers" have been identified as potential predictors of cancer risk. However, none have yet been validated as robust predictors of progression to cancer or shown to reduce cancer mortality. In this Perspective, we first define the necessary and sufficient conditions for precise prediction of future cancer development and early cancer detection within a simple physical model framework. We then evaluate cancer risk prediction and early detection from a dynamic clonal evolution point of view, examining the implications of dynamic clonal evolution of biomarkers and the application of clonal evolution for cancer risk management in clinical practice. Finally, we propose a framework to guide future collaborative research between mathematical modelers and biomarker researchers to design studies to investigate and model dynamic clonal evolution. This approach will allow optimization of available resources for cancer control and intervention timing based on molecular biomarkers in predicting cancer among various risk subsets that dynamically evolve over time.

Staphylococcal Enterotoxin P Predicts Bacteremia in Hospitalized Patients Colonized With Methicillin-Resistant Staphylococcus aureus

PubMed Central

Calderwood, Michael S.; Desjardins, Christopher A.; Sakoulas, George; Nicol, Robert; DuBois, Andrea; Delaney, Mary L.; Kleinman, Ken; Cosimi, Lisa A.; Feldgarden, Michael; Onderdonk, Andrew B.; Birren, Bruce W.; Platt, Richard; Huang, Susan S.

2014-01-01

Background. Methicillin-resistant Staphylococcus aureus (MRSA) colonization predicts later infection, with both host and pathogen determinants of invasive disease. Methods. This nested case-control study evaluates predictors of MRSA bacteremia in an 8–intensive care unit (ICU) prospective adult cohort from 1 September 2003 through 30 April 2005 with active MRSA surveillance and collection of ICU, post-ICU, and readmission MRSA isolates. We selected MRSA carriers who did (cases) and those who did not (controls) develop MRSA bacteremia. Generating assembled genome sequences, we evaluated 30 MRSA genes potentially associated with virulence and invasion. Using multivariable Cox proportional hazards regression, we assessed the association of these genes with MRSA bacteremia, controlling for host risk factors. Results. We collected 1578 MRSA isolates from 520 patients. We analyzed host and pathogen factors for 33 cases and 121 controls. Predictors of MRSA bacteremia included a diagnosis of cancer, presence of a central venous catheter, hyperglycemia (glucose level, >200 mg/dL), and infection with a MRSA strain carrying the gene for staphylococcal enterotoxin P (sep). Receipt of an anti-MRSA medication had a significant protective effect. Conclusions. In an analysis controlling for host factors, colonization with MRSA carrying sep increased the risk of MRSA bacteremia. Identification of risk-adjusted genetic determinants of virulence may help to improve prediction of invasive disease and suggest new targets for therapeutic intervention. PMID:24041793

Intrinsic motivation and metacognition as predictors of learning potential in patients with remitted schizophrenia.

PubMed

Tas, Cumhur; Brown, Elliot C; Esen-Danaci, Aysen; Lysaker, Paul H; Brüne, Martin

2012-08-01

Previous research has suggested that neurocognitive functioning predicts best the potential of patients with schizophrenia to acquire newly learned material, which, in turn may impact patients' social functioning. Recent studies have also shown that intrinsic motivation and metacognitive abilities play a decisive role in social functioning in schizophrenia. Accordingly, the present study sought to examine the relationship between intelligence, motivation, metacognition, and learning during a cognitive remediation experimental training. We hypothesized that metacognition and intrinsic motivation would have a strong relationship and independently predict learning potential. Thirty-two patients with schizophrenia who fulfilled the criteria of functional remission were recruited. In a pre-training-post experimental design, patients' learning potential was assessed using previously defined cognitive remediation training for WCST. Intrinsic motivation was examined using Intrinsic Motivation Inventory for schizophrenia; mastery, a domain of metacognition, was measured using the Metacognitive Assessment Scale. Metacognition significantly correlated with subdomains of intrinsic motivation. Patients with higher intrinsic motivation and preserved metacognition improved more in the learning paradigm compared to poorly motivated patients and patients with reduced metacognitive abilities. In particular, "mastery" was determined as an independent predictor of learning potential. Motivation and metacognition are important predictors of learning in schizophrenia. Psychological interventions in schizophrenia may therefore consider incorporating techniques to stimulate metacognitive and motivational abilities as well as developing individualized training programs. Copyright © 2012 Elsevier Ltd. All rights reserved.

Scale effects on runoff and soil erosion in rangelands: observations and estimations with predictors of different availability

USDA-ARS?s Scientific Manuscript database

Runoff and erosion estimates are needed for rangeland management decisions and evaluation of ecosystem services derived from rangeland conservation practices. The information on the effect of scale on the runoff and erosion, and on the choice of runoff and erosion predictors, remains scarce. The obj...

T-wave alternans and dispersion of the QT interval as risk stratification markers in patients susceptible to sustained ventricular arrhythmias

NASA Technical Reports Server (NTRS)

Armoundas, A. A.; Osaka, M.; Mela, T.; Rosenbaum, D. S.; Ruskin, J. N.; Garan, H.; Cohen, R. J.

1998-01-01

T-wave alternans and QT dispersion were compared as predictors of the outcome of electrophysiologic study and arrhythmia-free survival in patients undergoing electrophysiologic evaluation. T-wave alternans was a highly significant predictor of these 2 outcome variables, whereas QT dispersion was not.

Predictors of Parent-Teacher Agreement in Youth with Autism Spectrum Disorder and Their Typically Developing Siblings

ERIC Educational Resources Information Center

Stratis, Elizabeth A.; Lecavalier, Luc

2017-01-01

This study evaluated the magnitude of informant agreement and predictors of agreement on behavior and emotional problems and autism symptoms in 403 children with autism and their typically developing siblings. Parent-teacher agreement was investigated on the "Child Behavior Checklist" (CBCL) and "Social Responsiveness Scale"…

Court Compliance as a Predictor of Postadjudication Recidivism for Domestic Violence Offenders

ERIC Educational Resources Information Center

Kindness, Alana; Kim, Han; Alder, Stephen; Edwards, Alison; Parekh, Asha; rOlson, Lenora M.

2009-01-01

This study evaluated pre- and postadjudication behavior of 220 male defendants convicted of a domestic violence-related offense using court records and police department data. Our goal was the identification of possible predictors for continued criminal behavior that could pose a risk of further harm to victims. Factors identified as significant…

Verbal Abilities as Predictors of Retention among Adolescents in a Therapeutic Community

ERIC Educational Resources Information Center

Wilson, Jeffrey J.; Levin, Frances R.; Donovan, Stephen J.; Nunes, Edward V.

2006-01-01

The relationship between verbal skills and retention among adolescents in substance abuse treatment is understudied. In order to assess verbal predictors of retention, twenty-eight 16-19 year old adolescents in a therapeutic community for substance abuse were evaluated between 30 and 90 days after admission. These adolescents were then followed…

Mandibular bone structure, bone mineral density, and clinical variables as fracture predictors: a 15-year follow-up of female patients in a dental clinic.

PubMed

Jonasson, Grethe; Billhult, Annika

2013-09-01

To compare three mandibular trabeculation evaluation methods, clinical variables, and osteoporosis as fracture predictors in women. One hundred and thirty-six female dental patients (35-94 years) answered a questionnaire in 1996 and 2011. Using intra-oral radiographs from 1996, five methods were compared as fracture predictors: (1) mandibular bone structure evaluated with a visual radiographic index, (2) bone texture, (3) size and number of intertrabecular spaces calculated with Jaw-X software, (4) fracture probability calculated with a fracture risk assessment tool (FRAX), and (5) osteoporosis diagnosis based on dual-energy-X-ray absorptiometry. Differences were assessed with the Mann-Whitney test and relative risk calculated. Previous fracture, gluco-corticoid medication, and bone texture were significant indicators of future and total (previous plus future) fracture. Osteoporosis diagnosis, sparse trabeculation, Jaw-X, and FRAX were significant predictors of total but not future fracture. Clinical and oral bone variables may identify individuals at greatest risk of fracture. Copyright © 2013 Elsevier Inc. All rights reserved.

Breast Cancer and Mammography Screening: Knowledge, Beliefs and Predictors for Asian Immigrant Women Attending a Specialized Clinic in British Columbia, Canada.

PubMed

Hippman, Catriona; Moshrefzadeh, Arezu; Lohn, Zoe; Hodgson, Zoë G; Dewar, Kathryn; Lam, Melanie; Albert, Arianne Y K; Kwong, Juliet

2016-12-01

Screening mammography (MMG) reduces breast cancer mortality; however, Asian immigrant women underutilize MMG. The Asian Women's Health Clinic (AWHC) was established to promote women's cancer screening amongst this population. This study evaluated the rate, and predictors, of MMG amongst women attending the AWHC. Women (N = 98) attending the AWHC completed a questionnaire. Descriptive statistics and multivariable logistic regression evaluated rate and predictors of MMG. Most participants (87 %, n = 85) reported having had a mammogram. Significant MMG predictors were: lower perceived MMG barriers [lifetime: OR (CI) 1.19 (1.01-1.49); past 2 years: OR (CI) 1.11 (1.01-1.25)], and knowing someone with breast cancer [past year: OR (CI) 3.42 (1.25-9.85); past 2 years: OR (CI) 4.91 (1.32-2.13)]. Even amongst women using preventive medicine, 13 % report never having had a mammogram. More research is needed into innovative interventions, e.g. the AWHC, and breast cancer-related outcomes amongst Asian immigrant women.

Predictors in use of mental health resources: The role of behaviour problems in patients with severe mental illness.

PubMed

Bellido-Zanin, Gloria; Vázquez-Morejón, Antonio J; Martín-Rodríguez, Agustín; Pérez-San-Gregorio, Maria Ángeles

2017-09-01

In recent years, more variables are being included in the use of mental health resource prediction models. Some studies have shown that how well the patient can function is important for this prediction. However, the relevance of a variable as important as behaviour problems has scarcely been explored. This study attempted to evaluate the effect of behaviour problems in patients with severe mental illness on the use of mental health resources. A total of 185 patients at a Community Mental Health Unit were evaluated using the Behaviour Problem Inventory. Later, a bivariate logistic regression was done to identify what behaviour problems could be specific predictors of use of mental health resources. The results showed that the general index of behaviour problems predicts both use of hospitalization resources and outpatient attention. Underactivity/social withdrawal is the best predictor of all the different areas. These results confirm the role of behaviour problems as predictors of the use of mental health resources in individuals with a severe mental illness.

Predictors of Cerebral Palsy in Very Preterm Infants: The EPIPAGE Prospective Population-Based Cohort Study

ERIC Educational Resources Information Center

Beaino, Ghada; Khoshnood, Babak; Kaminski, Monique; Pierrat, Veronique; Marret, Stephane; Matis, Jacqueline; Ledesert, Bernard; Thiriez, Gerard; Fresson, Jeanne; Roze, Jean-Christophe; Zupan-Simunek, Veronique; Arnaud, Catherine; Burguet, Antoine; Larroque, Beatrice; Breart, Gerard; Ancel, Pierre-Yves

2010-01-01

Aim: The aim of this study was to assess the independent role of cerebral lesions on ultrasound scan, and several other neonatal and obstetric factors, as potential predictors of cerebral palsy (CP) in a large population-based cohort of very preterm infants. Method: As part of EPIPAGE, a population-based prospective cohort study, perinatal data…

Psychosocial Work-Related Predictors and Consequences of Personal Burnout among Staff Working with People with Intellectual Disabilities

ERIC Educational Resources Information Center

Kozak, Agnessa; Kersten, Maren; Schillmoller, Zita; Nienhaus, Albert

2013-01-01

The purposes of this study were to investigate the potential predictors of personal burnout among staff working with people with intellectual disabilities and to investigate whether personal burnout is associated with health and work-related outcomes. A cross-sectional survey was carried out in 2011 in 30 residential facilities in northern Germany…

The READI Assessment as a Possible Predictor of Student Success in Online Communication Courses

ERIC Educational Resources Information Center

Fair, Brandy; Wickersham, Leah E.

2012-01-01

The problem under investigation for this study was to identify a method for determining a student's potential for success in an online communication course using the Readiness for Education At a Distance Indicator (READI) assessment instrument as a predictor. The READI tool focuses on six areas that students should score well on in order to be…

A systematic identification of species-specific protein succinylation sites using joint element features information.

PubMed

Hasan, Md Mehedi; Khatun, Mst Shamima; Mollah, Md Nurul Haque; Yong, Cao; Guo, Dianjing

2017-01-01

Lysine succinylation, an important type of protein posttranslational modification, plays significant roles in many cellular processes. Accurate identification of succinylation sites can facilitate our understanding about the molecular mechanism and potential roles of lysine succinylation. However, even in well-studied systems, a majority of the succinylation sites remain undetected because the traditional experimental approaches to succinylation site identification are often costly, time-consuming, and laborious. In silico approach, on the other hand, is potentially an alternative strategy to predict succinylation substrates. In this paper, a novel computational predictor SuccinSite2.0 was developed for predicting generic and species-specific protein succinylation sites. This predictor takes the composition of profile-based amino acid and orthogonal binary features, which were used to train a random forest classifier. We demonstrated that the proposed SuccinSite2.0 predictor outperformed other currently existing implementations on a complementarily independent dataset. Furthermore, the important features that make visible contributions to species-specific and cross-species-specific prediction of protein succinylation site were analyzed. The proposed predictor is anticipated to be a useful computational resource for lysine succinylation site prediction. The integrated species-specific online tool of SuccinSite2.0 is publicly accessible.

Impact of work pressure, work stress and work-family conflict on firefighter burnout.

PubMed

Smith, Todd D; DeJoy, David M; Dyal, Mari-Amanda Aimee; Huang, Gaojian

2017-10-25

Little research has explored burnout and its causes in the American fire service. Data were collected from career firefighters in the southeastern United States (n = 208) to explore these relationships. A hierarchical regression model was tested to examine predictors of burnout including sociodemographic characteristics (model 1), work pressure (model 2), work stress and work-family conflict (model 3) and interaction terms (model 4). The main findings suggest that perceived work stress and work-family conflict emerged as the significant predictors of burnout (both p < .001). Interventions and programs aimed at these predictors could potentially curtail burnout among firefighters.

Wind shear and wet and dry thermodynamic indices as predictors of thunderstorm motion and severity and application to the AVE 4 experimental data

NASA Technical Reports Server (NTRS)

Connell, J. R.; Ey, L.

1977-01-01

Two types of parameters are computed and mapped for use in assessing their individual merits as predictors of occurrence and severity of thunderstorms. The first group is comprised of equivalent potential temperature, potential temperature, water vapor mixing ratio, and wind speed. Equivalent potential temperature maxima and strong gradients of equivalent potential temperature at the surface correlate well with regions of thunderstorm activity. The second type, comprised of the energy index, shear index, and energy shear index, incorporates some model dynamics of thunderstorms, including nonthermodynamic forcing. The energy shear index is found to improve prediction of tornadic and high-wind situations slightly better than other indices. It is concluded that further development and refinement of nonthermodynamic aspects of predictive indices are definitely warranted.

Incidence, predictors and outcomes of acute-on-chronic liver failure in outpatients with cirrhosis.

PubMed

Piano, Salvatore; Tonon, Marta; Vettore, Elia; Stanco, Marialuisa; Pilutti, Chiara; Romano, Antonietta; Mareso, Sara; Gambino, Carmine; Brocca, Alessandra; Sticca, Antonietta; Fasolato, Silvano; Angeli, Paolo

2017-12-01

Acute-on-chronic liver failure (ACLF) is the most life-threatening complication of cirrhosis. Prevalence and outcomes of ACLF have recently been described in hospitalized patients with cirrhosis. However, no data is currently available on the prevalence and the risk factors of ACLF in outpatients with cirrhosis. The aim of this study was to evaluate incidence, predictors and outcomes of ACLF in a large cohort of outpatients with cirrhosis. A total of 466 patients with cirrhosis consecutively evaluated in the outpatient clinic of a tertiary hospital were included and followed up until death and/or liver transplantation for a mean of 45±44months. Data on development of hepatic and extrahepatic organ failures were collected during this period. ACLF was defined and graded according to the EASL-CLIF Consortium definition. During the follow-up, 118 patients (25%) developed ACLF: 57 grade-1, 33 grade-2 and 28 grade-3. The probability of developing ACLF was 14%, 29%, and 41% at 1year, 5years, and 10years, respectively. In the multivariate analysis, baseline mean arterial pressure (hazard ratio [HR] 0.96; p=0.012), ascites (HR 2.53; p=0.019), model of end-stage liver disease score (HR 1.26; p<0.001) and baseline hemoglobin (HR 0.07; p=0.012) were found to be independent predictors of the development of ACLF at one year. As expected, ACLF was associated with a poor prognosis, with a 3-month probability of transplant-free survival of 56%. Outpatients with cirrhosis have a high risk of developing ACLF. The degree of liver failure and circulatory dysfunction are associated with the development of ACLF, as well as low values of hemoglobin. These simple variables may help to identify patients at a high risk of developing ACLF and to plan a program of close surveillance and prevention in these patients. There is a need to identify predictors of acute-on-chronic liver failure (ACLF) in patients with cirrhosis in order to identify patients at high risk of developing ACLF and to plan strategies of prevention. In this study, we identified four simple predictors of ACLF: model of end-stage liver disease (MELD) score, ascites, mean arterial pressure and hemoglobin. These variables may help to identify patients with cirrhosis, at a high risk of developing ACLF, that are candidates for new strategies of surveillance and prevention. Anemia is a potential new target for treating these patients. Copyright © 2017 European Association for the Study of the Liver. Published by Elsevier B.V. All rights reserved.

Schooling, occupational motivation, and personality as related to success in paramedical training.

PubMed Central

Booth, R F; Webster, E G; McNally, M S

1976-01-01

Measures of prior school experience, motivation for working in a health care job, and personality were evaluated as potential predictors of success in Navy paramedical training. When, by multiple regression procedures, years of school completed, numbers of suspensions or expulsions from school, occupational motivation, and Comrey personality scale scores were combined with an aptitude measure that is used for guiding recruits into paramedical training, the cross-validity for predicting training completion was significantly increased (P less than 0.001) from 0.40 to 0.50. Practical means for applying these measures to the screening of candidates for paramedical training were developed. Results of the evaluation suggest that guiding people into jobs that they neither prefer nor perceive as congruent with their abilities and interests can significantly reduce the chances for occupational success. PMID:825919

Dissecting the determinants of depressive disorders outcome: an in depth analysis of two clinical cases

PubMed Central

Serretti, Alessandro; Calati, Raffaella; Oasi, Osmano; De Ronchi, Diana; Colombo, Cristina

2007-01-01

Clinicians face everyday the complexity of depression. Available pharmacotherapies and psychotherapies improve patients suffering in a large part of subjects, however up to half of patients do not respond to treatment. Clinicians may forecast to a good extent if a given patient will respond or not, based on a number of data and sensations that emerge from face to face assessment. Conversely, clinical predictors of non response emerging from literature are largely unsatisfactory. Here we try to fill this gap, suggesting a comprehensive assessment of patients that may overcome the limitation of standardized assessments and detecting the factors that plausibly contribute to so marked differences in depressive disorders outcome. For this aim we present and discuss two clinical cases. Mr. A was an industrial manager who came to psychiatric evaluation with a severe depressive episode. His employment was demanding and the depressive episode undermined his capacity to manage it. Based on standardized assessment, Mr. A condition appeared severe and potentially dramatic. Mrs. B was a housewife who came to psychiatric evaluation with a moderate depressive episode. Literature predictors would suggest Mrs. B state as associated with a more favourable outcome. However the clinician impression was not converging with the standardized assessment and in fact the outcome will reverse the prediction based on the initial formal standard evaluation. Although the present report is based on two clinical cases and no generalizability is possible, a more detailed analysis of personality, temperament, defense mechanisms, self esteem, intelligence and social adjustment may allow to formalize the clinical impressions used by clinicians for biologic and pharmacologic studies. PMID:17286859

Prognostic Utility of the 21-Gene Assay in Hormone Receptor–Positive Operable Breast Cancer Compared With Classical Clinicopathologic Features

PubMed Central

Goldstein, Lori J.; Gray, Robert; Badve, Sunil; Childs, Barrett H.; Yoshizawa, Carl; Rowley, Steve; Shak, Steven; Baehner, Frederick L.; Ravdin, Peter M.; Davidson, Nancy E.; Sledge, George W.; Perez, Edith A.; Shulman, Lawrence N.; Martino, Silvana; Sparano, Joseph A.

2008-01-01

Purpose Adjuvant! is a standardized validated decision aid that projects outcomes in operable breast cancer based on classical clinicopathologic features and therapy. Genomic classifiers offer the potential to more accurately identify individuals who benefit from chemotherapy than clinicopathologic features. Patients and Methods A sample of 465 patients with hormone receptor (HR) –positive breast cancer with zero to three positive axillary nodes who did (n = 99) or did not have recurrence after chemohormonal therapy had tumor tissue evaluated using a 21-gene assay. Histologic grade and HR expression were evaluated locally and in a central laboratory. Results Recurrence Score (RS) was a highly significant predictor of recurrence, including node-negative and node-positive disease (P < .001 for both) and when adjusted for other clinical variables. RS also predicted recurrence more accurately than clinical variables when integrated by an algorithm modeled after Adjuvant! that was adjusted to 5-year outcomes. The 5-year recurrence rate was only 5% or less for the estimated 46% of patients who have a low RS (< 18). Conclusion The 21-gene assay was a more accurate predictor of relapse than standard clinical features for individual patients with HR-positive operable breast cancer treated with chemohormonal therapy and provides information that is complementary to features typically used in anatomic staging, such as tumor size and lymph node involvement. The 21-gene assay may be used to select low-risk patients for abbreviated chemotherapy regimens similar to those used in our study or high-risk patients for more aggressive regimens or clinical trials evaluating novel treatments. PMID:18678838

Prognostic utility of the 21-gene assay in hormone receptor-positive operable breast cancer compared with classical clinicopathologic features.

PubMed

Goldstein, Lori J; Gray, Robert; Badve, Sunil; Childs, Barrett H; Yoshizawa, Carl; Rowley, Steve; Shak, Steven; Baehner, Frederick L; Ravdin, Peter M; Davidson, Nancy E; Sledge, George W; Perez, Edith A; Shulman, Lawrence N; Martino, Silvana; Sparano, Joseph A

2008-09-01

Adjuvant! is a standardized validated decision aid that projects outcomes in operable breast cancer based on classical clinicopathologic features and therapy. Genomic classifiers offer the potential to more accurately identify individuals who benefit from chemotherapy than clinicopathologic features. A sample of 465 patients with hormone receptor (HR) -positive breast cancer with zero to three positive axillary nodes who did (n = 99) or did not have recurrence after chemohormonal therapy had tumor tissue evaluated using a 21-gene assay. Histologic grade and HR expression were evaluated locally and in a central laboratory. Recurrence Score (RS) was a highly significant predictor of recurrence, including node-negative and node-positive disease (P < .001 for both) and when adjusted for other clinical variables. RS also predicted recurrence more accurately than clinical variables when integrated by an algorithm modeled after Adjuvant! that was adjusted to 5-year outcomes. The 5-year recurrence rate was only 5% or less for the estimated 46% of patients who have a low RS (< 18). The 21-gene assay was a more accurate predictor of relapse than standard clinical features for individual patients with HR-positive operable breast cancer treated with chemohormonal therapy and provides information that is complementary to features typically used in anatomic staging, such as tumor size and lymph node involvement. The 21-gene assay may be used to select low-risk patients for abbreviated chemotherapy regimens similar to those used in our study or high-risk patients for more aggressive regimens or clinical trials evaluating novel treatments.

Factors influencing subjects' comprehension of a set of medicine package inserts.

PubMed

Pires, Carla; Vigário, Marina; Cavaco, Afonso

2016-08-01

Background Package inserts (PIs) should promote the safe and effective use of medicines. The comprehension of PIs is related to socio-demographic features, such as education. Objectives To evaluate the participants' comprehension of a sample of PIs and to build an explanatory model of subjects' understanding of the content of these documents. Setting The data were collected from municipalities, city halls, firefighters, the military, schools and charities from two Portuguese regions. Methods Cross-sectional descriptive survey: 503 participants, homogeneously distributed by education and gender. The self-administered tool comprised questions on socio-demographic data, literacy tasks and comprehension evaluation of 12 purposively selected PIs. A logistic regression analysis was used. Main outcome measures Scores of numeracy tasks and comprehension. Results The average comprehension score for the PIs was 63 % (±32 %), with 48 % (n = 239) of the participants scoring <75 %. The most important predictors in explaining a comprehension score ≥75 % were having >12 years of education and correctly performing a numeracy task [respectively, OR 49.6 (CI 95 %: 22.8-108) and OR 2.48 (CI 95 %: 1.5-4.2)]. Conclusion An explanatory model of subjects' knowledge about the content of the tested PIs was built. Given that a high level of education and literacy were found to be the most relevant predictors for acceptable comprehension rates, PIs should be clearly written to assure that they are understood by all potential users, including the less educated. The evaluated PIs may thus need to be simplified.

Singers' phonation threshold pressure and ratings of self-perceived effort on vocal tasks.

PubMed

McHenry, Monica; Evans, Joseph; Powitzky, Eric

2013-05-01

This study was designed to determine if singers' self-ratings of vocal effort could predict phonation threshold pressure (PTP). It was hypothesized that effort ratings on the more complex task of singing "Happy Birthday" would best predict PTP. A multiple regression analysis was performed with PTP as the predicted variable and self-ratings on four phonatory tasks as the predictor variables. Participants were 48 undergraduate and graduate students majoring in vocal performance. They produced /pi/ syllable trains as softly as possible for the measurement of PTP. They then rated their self-perceived vocal effort while softly producing the following: (1) sustained "ah" (comfortable, midrange pitch); (2) "ah" glide (chest to head voice); (3) Staccato "ah" in head voice (not falsetto); and (4) Happy Birthday in head voice (not falsetto). No ratings of vocal effort predicted PTP. The lack of correlation between PTP and ratings of Happy Birthday remained when separately evaluating graduate versus undergraduate students or males versus females. Informal evaluation of repeated ratings over time suggested the potential for effective self-monitoring. Students' ratings of self-perceived vocal effort were poor predictors of PTP. This may be because of the use of "effortless" imagery during singing instruction or consistent positive feedback regarding vocal performance. It is possible that self-rating could become an effective tool to predict vocal health if task elicitation instructions were more precise, and the student and voice teacher worked collaboratively to improve self-evaluation. Copyright © 2013 The Voice Foundation. Published by Mosby, Inc. All rights reserved.

Predicting Outcomes After Chemo-Embolization in Patients with Advanced-Stage Hepatocellular Carcinoma: An Evaluation of Different Radiologic Response Criteria

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

Gunn, Andrew J., E-mail: agunn@uabmc.edu; Sheth, Rahul A.; Luber, Brandon

2017-01-15

PurposeThe purpse of this study was to evaluate the ability of various radiologic response criteria to predict patient outcomes after trans-arterial chemo-embolization with drug-eluting beads (DEB-TACE) in patients with advanced-stage (BCLC C) hepatocellular carcinoma (HCC).Materials and methodsHospital records from 2005 to 2011 were retrospectively reviewed. Non-infiltrative lesions were measured at baseline and on follow-up scans after DEB-TACE according to various common radiologic response criteria, including guidelines of the World Health Organization (WHO), Response Evaluation Criteria in Solid Tumors (RECIST), the European Association for the Study of the Liver (EASL), and modified RECIST (mRECIST). Statistical analysis was performed to see which,more » if any, of the response criteria could be used as a predictor of overall survival (OS) or time-to-progression (TTP).Results75 patients met inclusion criteria. Median OS and TTP were 22.6 months (95 % CI 11.6–24.8) and 9.8 months (95 % CI 7.1–21.6), respectively. Univariate and multivariate Cox analyses revealed that none of the evaluated criteria had the ability to be used as a predictor for OS or TTP. Analysis of the C index in both univariate and multivariate models showed that the evaluated criteria were not accurate predictors of either OS (C-statistic range: 0.51–0.58 in the univariate model; range: 0.54–0.58 in the multivariate model) or TTP (C-statistic range: 0.55–0.59 in the univariate model; range: 0.57–0.61 in the multivariate model).ConclusionCurrent response criteria are not accurate predictors of OS or TTP in patients with advanced-stage HCC after DEB-TACE.« less

Predicting Outcomes After Chemo-Embolization in Patients with Advanced-Stage Hepatocellular Carcinoma: An Evaluation of Different Radiologic Response Criteria.

PubMed

Gunn, Andrew J; Sheth, Rahul A; Luber, Brandon; Huynh, Minh-Huy; Rachamreddy, Niranjan R; Kalva, Sanjeeva P

2017-01-01

The purpse of this study was to evaluate the ability of various radiologic response criteria to predict patient outcomes after trans-arterial chemo-embolization with drug-eluting beads (DEB-TACE) in patients with advanced-stage (BCLC C) hepatocellular carcinoma (HCC). Hospital records from 2005 to 2011 were retrospectively reviewed. Non-infiltrative lesions were measured at baseline and on follow-up scans after DEB-TACE according to various common radiologic response criteria, including guidelines of the World Health Organization (WHO), Response Evaluation Criteria in Solid Tumors (RECIST), the European Association for the Study of the Liver (EASL), and modified RECIST (mRECIST). Statistical analysis was performed to see which, if any, of the response criteria could be used as a predictor of overall survival (OS) or time-to-progression (TTP). 75 patients met inclusion criteria. Median OS and TTP were 22.6 months (95 % CI 11.6-24.8) and 9.8 months (95 % CI 7.1-21.6), respectively. Univariate and multivariate Cox analyses revealed that none of the evaluated criteria had the ability to be used as a predictor for OS or TTP. Analysis of the C index in both univariate and multivariate models showed that the evaluated criteria were not accurate predictors of either OS (C-statistic range: 0.51-0.58 in the univariate model; range: 0.54-0.58 in the multivariate model) or TTP (C-statistic range: 0.55-0.59 in the univariate model; range: 0.57-0.61 in the multivariate model). Current response criteria are not accurate predictors of OS or TTP in patients with advanced-stage HCC after DEB-TACE.

Isokinetic knee strength qualities as predictors of jumping performance in high-level volleyball athletes: multiple regression approach.

PubMed

Sattler, Tine; Sekulic, Damir; Spasic, Miodrag; Osmankac, Nedzad; Vicente João, Paulo; Dervisevic, Edvin; Hadzic, Vedran

2016-01-01

Previous investigations noted potential importance of isokinetic strength in rapid muscular performances, such as jumping. This study aimed to identify the influence of isokinetic-knee-strength on specific jumping performance in volleyball. The secondary aim of the study was to evaluate reliability and validity of the two volleyball-specific jumping tests. The sample comprised 67 female (21.96±3.79 years; 68.26±8.52 kg; 174.43±6.85 cm) and 99 male (23.62±5.27 years; 84.83±10.37 kg; 189.01±7.21 cm) high- volleyball players who competed in 1st and 2nd National Division. Subjects were randomly divided into validation (N.=55 and 33 for males and females, respectively) and cross-validation subsamples (N.=54 and 34 for males and females, respectively). Set of predictors included isokinetic tests, to evaluate the eccentric and concentric strength capacities of the knee extensors, and flexors for dominant and non-dominant leg. The main outcome measure for the isokinetic testing was peak torque (PT) which was later normalized for body mass and expressed as PT/Kg. Block-jump and spike-jump performances were measured over three trials, and observed as criteria. Forward stepwise multiple regressions were calculated for validation subsamples and then cross-validated. Cross validation included correlations between and t-test differences between observed and predicted scores; and Bland Altman graphics. Jumping tests were found to be reliable (spike jump: ICC of 0.79 and 0.86; block-jump: ICC of 0.86 and 0.90; for males and females, respectively), and their validity was confirmed by significant t-test differences between 1st vs. 2nd division players. Isokinetic variables were found to be significant predictors of jumping performance in females, but not among males. In females, the isokinetic-knee measures were shown to be stronger and more valid predictors of the block-jump (42% and 64% of the explained variance for validation and cross-validation subsample, respectively) than that of the spike-jump (39% and 34% of the explained variance for validation and cross-validation subsample, respectively). Differences between prediction models calculated for males and females are mostly explained by gender-specific biomechanics of jumping. Study defined importance of knee-isokinetic-strength in volleyball jumping performance in female athletes. Further studies should evaluate association between ankle-isokinetic-strength and volleyball-specific jumping performances. Results reinforce the need for the cross-validation of the prediction-models in sport and exercise sciences.

Identifying predictors of time-inhomogeneous viral evolutionary processes.

PubMed

Bielejec, Filip; Baele, Guy; Rodrigo, Allen G; Suchard, Marc A; Lemey, Philippe

2016-07-01

Various factors determine the rate at which mutations are generated and fixed in viral genomes. Viral evolutionary rates may vary over the course of a single persistent infection and can reflect changes in replication rates and selective dynamics. Dedicated statistical inference approaches are required to understand how the complex interplay of these processes shapes the genetic diversity and divergence in viral populations. Although evolutionary models accommodating a high degree of complexity can now be formalized, adequately informing these models by potentially sparse data, and assessing the association of the resulting estimates with external predictors, remains a major challenge. In this article, we present a novel Bayesian evolutionary inference method, which integrates multiple potential predictors and tests their association with variation in the absolute rates of synonymous and non-synonymous substitutions along the evolutionary history. We consider clinical and virological measures as predictors, but also changes in population size trajectories that are simultaneously inferred using coalescent modelling. We demonstrate the potential of our method in an application to within-host HIV-1 sequence data sampled throughout the infection of multiple patients. While analyses of individual patient populations lack statistical power, we detect significant evidence for an abrupt drop in non-synonymous rates in late stage infection and a more gradual increase in synonymous rates over the course of infection in a joint analysis across all patients. The former is predicted by the immune relaxation hypothesis while the latter may be in line with increasing replicative fitness during the asymptomatic stage.

Estimation of residential fine particulate matter infiltration in Shanghai, China.

PubMed

Zhou, Xiaodan; Cai, Jing; Zhao, Yan; Chen, Renjie; Wang, Cuicui; Zhao, Ang; Yang, Changyuan; Li, Huichu; Liu, Suixin; Cao, Junji; Kan, Haidong; Xu, Huihui

2018-02-01

Ambient concentrations of fine particulate matter (PM 2.5 ) concentration is often used as an exposure surrogate to estimate PM 2.5 health effects in epidemiological studies. Ignoring the potential variations in the amount of outdoor PM 2.5 infiltrating into indoor environments will cause exposure misclassification, especially when people spend most of their time indoors. As it is not feasible to measure the PM 2.5 infiltration factor (F inf ) for each individual residence, we aimed to build models for residential PM 2.5 F inf prediction and to evaluate seasonal F inf variations among residences. We repeated collected paired indoor and outdoor PM 2.5 filter samples for 7 continuous days in each of the three seasons (hot, cold and transitional seasons) from 48 typical homes of Shanghai, China. PM 2.5 -bound sulfur on the filters was measured by X-ray fluorescence for PM 2.5 F inf calculation. We then used stepwise-multiple linear regression to construct season-specific models with climatic variables and questionnaire-based predictors. All models were evaluated by the coefficient of determination (R 2 ) and root mean square error (RMSE) from a leave-one-out-cross-validation (LOOCV). The 7-day mean (±SD) of PM 2.5 F inf across all observations was 0.83 (±0.18). F inf was found higher and more varied in transitional season (12-25 °C) than hot (>25 °C) and cold (<12 °C) seasons. Air conditioning use and meteorological factors were the most important predictors during hot and cold seasons; Floor of residence and building age were the best transitional season predictors. The models predicted 60.0%-68.4% of the variance in 7-day averages of F inf , The LOOCV analysis showed an R 2 of 0.52 and an RMSE of 0.11. Our finding of large variation in residential PM 2.5 F inf between seasons and across residences within season indicated the important source of outdoor-generated PM 2.5 exposure heterogeneity in epidemiologic studies. Our models based on readily available data may potentially improve the accuracy of estimates of the health effects of PM 2.5 exposure. Copyright © 2017 Elsevier Ltd. All rights reserved.

Wealth and happiness across the world: material prosperity predicts life evaluation, whereas psychosocial prosperity predicts positive feeling.

PubMed

Diener, Ed; Ng, Weiting; Harter, James; Arora, Raksha

2010-07-01

The Gallup World Poll, the first representative sample of planet Earth, was used to explore the reasons why happiness is associated with higher income, including the meeting of basic needs, fulfillment of psychological needs, increasing satisfaction with one's standard of living, and public goods. Across the globe, the association of log income with subjective well-being was linear but convex with raw income, indicating the declining marginal effects of income on subjective well-being. Income was a moderately strong predictor of life evaluation but a much weaker predictor of positive and negative feelings. Possessing luxury conveniences and satisfaction with standard of living were also strong predictors of life evaluation. Although the meeting of basic and psychological needs mediated the effects of income on life evaluation to some degree, the strongest mediation was provided by standard of living and ownership of conveniences. In contrast, feelings were most associated with the fulfillment of psychological needs: learning, autonomy, using one's skills, respect, and the ability to count on others in an emergency. Thus, two separate types of prosperity-economic and social psychological-best predict different types of well-being.

Exploratory Decision-Tree Modeling of Data from the Randomized REACTT Trial of Tadalafil Versus Placebo to Predict Recovery of Erectile Function After Bilateral Nerve-Sparing Radical Prostatectomy.

PubMed

Montorsi, Francesco; Oelke, Matthias; Henneges, Carsten; Brock, Gerald; Salonia, Andrea; d'Anzeo, Gianluca; Rossi, Andrea; Mulhall, John P; Büttner, Hartwig

2016-09-01

Understanding predictors for the recovery of erectile function (EF) after nerve-sparing radical prostatectomy (nsRP) might help clinicians and patients in preoperative counseling and expectation management of EF rehabilitation strategies. To describe the effect of potential predictors on EF recovery after nsRP by post hoc decision-tree modeling of data from A Study of Tadalafil After Radical Prostatectomy (REACTT). Randomized double-blind double-dummy placebo-controlled trial in 423 men aged <68 yr with adenocarcinoma of the prostate (Gleason ≤7, normal preoperative EF) who underwent nsRP at 50 centers from nine European countries and Canada. Postsurgery 1:1:1 randomization to 9-mo double-blind treatment with tadalafil 5mg once a day (OaD), tadalafil 20mg on demand, or placebo, followed by a 6-wk drug-free-washout, and a 3-mo open-label tadalafil OaD treatment. Three decision-tree models, using the International Index of Erectile Function-Erectile Function (IIEF-EF) domain score at the end of double-blind treatment, washout, and open-label treatment as response variable. Each model evaluated the association between potential predictors: presurgery IIEF domain and IIEF single-item scores, surgical approach, nerve-sparing score (NSS), and postsurgery randomized treatment group. The first decision-tree model (n=422, intention-to-treat population) identified high presurgery sexual desire (IIEF item 12: ≥3.5 and <3.5) as the key predictor for IIEF-EF at the end of double-blind treatment (mean IIEF-EF: 14.9 and 11.1), followed by high confidence to get and maintain an erection (IIEF item 15: ≥3.5 and <3.5; IIEF-EF: 15.4 and 7.1). For patients meeting these criteria, additional non-IIEF-related predictors included robot-assisted laparoscopic surgery (yes or no; IIEF-EF: 19.3 and 12.6), quality of nerve sparing (NSS: <2.5 and ≥2.5; IIEF-EF: 14.3 and 10.5), and treatment with tadalafil OaD (yes and no; IIEF-EF: 17.6 and 14.3). Additional analyses after washout and open-label treatment identified high presurgery intercourse satisfaction as the key predictor. Exploratory decision-tree analyses identified high presurgery sexual desire, confidence, and intercourse satisfaction as key predictors for EF recovery. Patients meeting these criteria might benefit the most from conserving surgery and early postsurgery EF rehabilitation. Strategies for improving EF after surgery should be discussed preoperatively with all patients; this information may support expectation management for functional recovery on an individual patient level. Understanding how patient characteristics and different treatment options affect the recovery of erectile function (EF) after radical surgery for prostate cancer might help physicians select the optimal treatment for their patients. This analysis of data from a clinical trial suggested that high presurgery sexual desire, sexual confidence, and intercourse satisfaction are key factors predicting EF recovery. Patients meeting these criteria might benefit the most from conserving surgery (robot-assisted surgery, perfect nerve sparing) and postsurgery medical rehabilitation of EF. ClinicalTrials.gov, NCT01026818. Copyright © 2016. Published by Elsevier B.V.

Impact of correlation of predictors on discrimination of risk models in development and external populations.

PubMed

Kundu, Suman; Mazumdar, Madhu; Ferket, Bart

2017-04-19

The area under the ROC curve (AUC) of risk models is known to be influenced by differences in case-mix and effect size of predictors. The impact of heterogeneity in correlation among predictors has however been under investigated. We sought to evaluate how correlation among predictors affects the AUC in development and external populations. We simulated hypothetical populations using two different methods based on means, standard deviations, and correlation of two continuous predictors. In the first approach, the distribution and correlation of predictors were assumed for the total population. In the second approach, these parameters were modeled conditional on disease status. In both approaches, multivariable logistic regression models were fitted to predict disease risk in individuals. Each risk model developed in a population was validated in the remaining populations to investigate external validity. For both approaches, we observed that the magnitude of the AUC in the development and external populations depends on the correlation among predictors. Lower AUCs were estimated in scenarios of both strong positive and negative correlation, depending on the direction of predictor effects and the simulation method. However, when adjusted effect sizes of predictors were specified in the opposite directions, increasingly negative correlation consistently improved the AUC. AUCs in external validation populations were higher or lower than in the derivation cohort, even in the presence of similar predictor effects. Discrimination of risk prediction models should be assessed in various external populations with different correlation structures to make better inferences about model generalizability.

Clinical predictors of acute response to transcranial direct current stimulation (tDCS) in major depression.

PubMed

D'Urso, Giordano; Dell'Osso, Bernardo; Rossi, Rodolfo; Brunoni, Andre Russowsky; Bortolomasi, Marco; Ferrucci, Roberta; Priori, Alberto; de Bartolomeis, Andrea; Altamura, Alfredo Carlo

2017-09-01

Transcranial direct current stimulation (tDCS) is a promising neuromodulation intervention for poor-responding or refractory depressed patients. However, little is known about predictors of response to this therapy. The present study aimed to analyze clinical predictors of response to tDCS in depressed patients. Clinical data from 3 independent tDCS trials on 171 depressed patients (including unipolar and bipolar depression), were pooled and analyzed to assess predictors of response. Depression severity and the underlying clinical dimensions were measured using the Hamilton Depression Rating Scale (HDRS) at baseline and after the tDCS treatment. Age, gender and diagnosis (bipolar/unipolar depression) were also investigated as predictors of response. Linear mixed models were fitted in order to ascertain which HDRS factors were associated with response to tDCS. Age, gender and diagnosis did not show any association with response to treatment. The reduction in HDRS scores after tDCS was strongly associated with the baseline values of "Cognitive Disturbances" and "Retardation" factors, whilst the "Anxiety/Somatization" factor showed a mild association with the response. Open-label design, the lack of control group, and minor differences in stimulation protocols. No differences in response to tDCS were found between unipolar and bipolar patients, suggesting that tDCS is effective for both conditions. "Cognitive disturbance", "Retardation", and "Anxiety/Somatization", were identified as potential clinical predictors of response to tDCS. These findings point to the pre-selection of the potential responders to tDCS, therefore optimizing the clinical use of this technique and the overall cost-effectiveness of the psychiatric intervention for depressed patients. Copyright © 2017 Elsevier B.V. All rights reserved.

Measurement error and timing of predictor values for multivariable risk prediction models are poorly reported.

PubMed

Whittle, Rebecca; Peat, George; Belcher, John; Collins, Gary S; Riley, Richard D

2018-05-18

Measurement error in predictor variables may threaten the validity of clinical prediction models. We sought to evaluate the possible extent of the problem. A secondary objective was to examine whether predictors are measured at the intended moment of model use. A systematic search of Medline was used to identify a sample of articles reporting the development of a clinical prediction model published in 2015. After screening according to a predefined inclusion criteria, information on predictors, strategies to control for measurement error and intended moment of model use were extracted. Susceptibility to measurement error for each predictor was classified into low and high risk. Thirty-three studies were reviewed, including 151 different predictors in the final prediction models. Fifty-one (33.7%) predictors were categorised as high risk of error, however this was not accounted for in the model development. Only 8 (24.2%) studies explicitly stated the intended moment of model use and when the predictors were measured. Reporting of measurement error and intended moment of model use is poor in prediction model studies. There is a need to identify circumstances where ignoring measurement error in prediction models is consequential and whether accounting for the error will improve the predictions. Copyright © 2018. Published by Elsevier Inc.

Inuit women's attitudes and experiences towards cervical cancer and prevention strategies in Nunavik, Quebec.

PubMed

Cerigo, Helen; Macdonald, Mary Ellen; Franco, Eduardo L; Brassard, Paul

2012-03-19

To describe the attitudes about and experiences with cervical cancer, Pap smear screenings and the HPV vaccine among a sample of Inuit women from Nunavik, Quebec, Canada. We also evaluated demographic and social predictors of maternal interest in HPV vaccination. A mixed method design was used with a cross-sectional survey and focus group interviews. Women were recruited through convenience sampling at 2 recruitment sites in Nunavik from March 2008 to June 2009. Differences in women's responses by age, education, and marital status were assessed. Unconditional logistic regression was used to determine predictors of women's interest in HPV vaccination for their children. Questionnaires were completed by 175 women aged 18-63, and of these women a total of 6 women aged 31-55 participated in 2 focus groups. Almost half the survey participants had heard of cervical cancer. Women often reported feelings of embarrassment and pain during the Pap smear and older women were more likely to feel embarrassed than younger women. Only 27% of women had heard of the HPV vaccine, and 72% of these women were interested in vaccinating their child for HPV. No statistically significant predictors of maternal interest in HPV vaccination were found. Our findings indicate that health service planners and providers in Nunavik should be aware of potential barriers to Pap smear attendance, especially in the older age groups. Given the low awareness of cervical cancer, the Pap smear and the HPV vaccine, education on cervical cancer and prevention strategies may be beneficial.

Predictors of car smoking rules among smokers in France, Germany and the Netherlands

PubMed Central

Guignard, Romain; Nagelhout, Gera E.; Mons, Ute; Beck, François; van den Putte, Bas; Crone, Mathilde; de Vries, Hein; Hyland, Andrew; Fong, Geoffrey T.

2012-01-01

Background: As exposure to tobacco smoke pollution (TSP) has been identified as a cause of premature death and disease in non-smokers, and studies have demonstrated that smoking in cars produces high levels of TSP, this study will investigate smokers’ rules for smoking in their cars, and predictors of car smoking rules, including potentially modifiable correlates. Methods: Data were drawn from nationally representative samples of current smokers from the International Tobacco Control Policy Evaluation Project surveys in France (2007), Germany (2007), and the Netherlands (2008). Smokers in France and Germany were asked about smoking rules in their cars, and smokers in the Netherlands were asked about smoking rules in cars carrying children. Results: In France and Germany, 59% and 52% of smokers respectively, allowed smoking in their cars. In the Netherlands, 36% of smokers allowed smoking in cars carrying children. Predictors of allowing smoking in cars included: being a daily vs. non-daily smoker, being younger vs. older age, having no (young) children in the home, being a heavier smoker, and allowing smoking in the home. In the Netherlands, smokers who agreed that TSP is dangerous to non-smokers were less likely to allow smoking in cars carrying children. Conclusion: Overall, a sizeable proportion of smokers allowed smoking in their cars across the three countries. Media campaigns with information about the dangers of TSP may increase the adoption of smoke-free cars. These media campaigns could target smokers who are most likely to allow smoking in cars. PMID:22294780

Self-reported immature defense style as a predictor of outcome in short-term and long-term psychotherapy.

PubMed

Laaksonen, Maarit A; Sirkiä, Carlos; Knekt, Paul; Lindfors, Olavi

2014-07-01

Identification of pretreatment patient characteristics predictive of psychotherapy outcome could help to guide treatment choices. This study evaluates patients' initial level of immature defense style as a predictor of the outcome of short-term versus long-term psychotherapy. In the Helsinki Psychotherapy Study, 326 adult outpatients with mood or anxiety disorder were randomized to individual short-term (psychodynamic or solution-focused) or long-term (psychodynamic) psychotherapy. Their defense style was assessed at baseline using the 88-item Defense Style Questionnaire and classified as low or high around the median value of the respective score. Both specific (Beck Depression Inventory [BDI], Hamilton Depression Rating Scale [HDRS], Symptom Check List Anxiety Scale [SCL-90-Anx], Hamilton Anxiety Rating Scale [HARS]) and global (Symptom Check List Global Severity Index [SCL-90-GSI], Global Assessment of Functioning Scale [GAF]) psychiatric symptoms were measured at baseline and 3-7 times during a 3-year follow-up. Patients with high use of immature defense style experienced greater symptom reduction in long-term than in short-term psychotherapy by the end of the 3-year follow-up (50% vs. 34%). Patients with low use of immature defense style experienced faster symptom reduction in short-term than in long-term psychotherapy during the first year of follow-up (34% vs. 19%). Knowledge of patients' initial level of immature defense style may potentially be utilized in tailoring treatments. Further research on defense styles as outcome predictors in psychotherapies of different types is needed.

Can we predict the blood pressure response to renal denervation?

PubMed Central

Fink, Gregory D.; Phelps, Jeremiah T.

2016-01-01

Renal denervation (RDN) is a new therapy used to treat drug-resistant hypertension in the clinical setting. Published human trials show substantial inter-individual variability in the blood pressure (BP) response to RDN, even when technical aspects of the treatment are standardized as much as possible between patients. Widespread acceptance of RDN for treating hypertension will require accurate identification of patients likely to respond to RDN with a fall in BP that is clinically significant in magnitude, well-maintained over time and does not cause adverse consequences. In this paper we review and evaluate clinical studies that address possible predictors of the BP response to RDN. We conclude that only one generally reliable predictor has been identified to date, namely pre-RDN BP level, although there is some evidence for a few other factors. Experimental interventions in laboratory animals provide the opportunity to explore potential predictors that are difficult to investigate in human patients. Therefore we also describe results (from our lab and others) with RDN in spontaneously hypertensive rats. Since virtually all patients receiving RDN are taking three or more antihypertensive drugs, a particular focus of our work was on how ongoing antihypertensive drug treatment might alter the BP response to RDN. We conclude that patient age (or duration of hypertension) and concomitant treatment with certain drugs can affect the blood pressure response to RDN and that this information could help predict a favorable clinical response. PMID:27530600

Ghrelin is a possible new predictor associated with executive function in patients with type 2 diabetes mellitus.

PubMed

Chen, Siting; Zuo, Xuyang; Li, Yuan; Jiang, Tian; Zhang, Nan; Dai, Fang; Chen, Qiaoer; Zhang, Qiu

2017-05-01

The aim of the present research was to study the ghrelin level, executive function and their possible association in patients with type 2 diabetes mellitus. A total of 370 people were recruited between March 2015 and March 2016 in this study. Among them, 212 participants were patients with type 2 diabetes mellitus and 158 participants were included as the control group. Their blood sample was analyzed for the level of ghrelin and other clinical indexes. Cognitive function was measured by the Montreal Cognitive Assessment, and executive function was evaluated by the Wisconsin Card Sorting Test. In the type 2 diabetes mellitus group, age, years of education, duration of diabetes, fasting blood glucose, glycated hemoglobin, hypertension and waist-to-hip ratio were correlated with total Montreal Cognitive Assessment scores. No association was found between ghrelin level and total Montreal Cognitive Assessment score in patients with type 2 diabetes mellitus. However, ghrelin was found to be a significant predictor for executive function impairment measured by the Wisconsin Card Sorting Test in patients with type 2 diabetes mellitus. The level of serum ghrelin might be a biomarker of executive function and become a strong predictor of executive function impairment in patients with type 2 diabetes mellitus. Ghrelin might have a potential protective effect against cognitive function impairment in type 2 diabetes patients. © 2016 The Authors. Journal of Diabetes Investigation published by Asian Association for the Study of Diabetes (AASD) and John Wiley & Sons Australia, Ltd.

The development of a novel knowledge-based weaning algorithm using pulmonary parameters: a simulation study.

PubMed

Guler, Hasan; Kilic, Ugur

2018-03-01

Weaning is important for patients and clinicians who have to determine correct weaning time so that patients do not become addicted to the ventilator. There are already some predictors developed, such as the rapid shallow breathing index (RSBI), the pressure time index (PTI), and Jabour weaning index. Many important dimensions of weaning are sometimes ignored by these predictors. This is an attempt to develop a knowledge-based weaning process via fuzzy logic that eliminates the disadvantages of the present predictors. Sixteen vital parameters listed in published literature have been used to determine the weaning decisions in the developed system. Since there are considered to be too many individual parameters in it, related parameters were grouped together to determine acid-base balance, adequate oxygenation, adequate pulmonary function, hemodynamic stability, and the psychological status of the patients. To test the performance of the developed algorithm, 20 clinical scenarios were generated using Monte Carlo simulations and the Gaussian distribution method. The developed knowledge-based algorithm and RSBI predictor were applied to the generated scenarios. Finally, a clinician evaluated each clinical scenario independently. The Student's t test was used to show the statistical differences between the developed weaning algorithm, RSBI, and the clinician's evaluation. According to the results obtained, there were no statistical differences between the proposed methods and the clinician evaluations.

Dysthymic Disorder and Double Depression: Prediction of 10-Year Course Trajectories and Outcomes

PubMed Central

Klein, Daniel N.; Shankman, Stewart A.; Rose, Suzanne

2008-01-01

We sought to identify baseline predictors of 10-year course trajectories and outcomes in patients with dysthymic disorder and double depression. Eighty-seven outpatients with early-onset (< 21 years) dysthymic disorder, with or without superimposed major depression, were assessed five times at 30-month intervals for 10 years. Baseline evaluations included semi-structured diagnostic interviews for Axis I and II psychopathology and childhood adversity. Direct interview and family history data were collected on first-degree relatives. Follow-up assessments included the Longitudinal Follow-up Evaluation and Hamilton Depression Rating Scale. Using mixed effects growth curve models, univariate predictors of depression severity and functional impairment at 10-year outcome included older age, less education, concurrent anxiety disorder, greater familial loading for chronic depression, a history of a poorer maternal relationship in childhood, and a history of childhood sexual abuse. In addition, longer duration of dysthymic disorder also predicted greater impairment 10 years later. Predictors of a poorer trajectory of depressive symptoms over time included ethnicity and personality disorders; predictors of a poorer trajectory of social functioning included familial loading of chronic depression and quality of the childhood maternal relationship. Thus, demographic, clinical, family history, and early adversity variables all contribute to predicting the long term trajectory and outcome of DD. These variables should be routinely assessed in clinical evaluations and can provide clinicians with valuable prognostic information. PMID:17466334

Dysthymic disorder and double depression: prediction of 10-year course trajectories and outcomes.

PubMed

Klein, Daniel N; Shankman, Stewart A; Rose, Suzanne

2008-04-01

We sought to identify baseline predictors of 10-year course trajectories and outcomes in patients with dysthymic disorder and double depression. Eighty-seven outpatients with early-onset (<21 years) dysthymic disorder, with or without superimposed major depression, were assessed five times at 30-month intervals for 10 years. Baseline evaluations included semi-structured diagnostic interviews for Axis I and II psychopathology and childhood adversity. Direct interview and family history data were collected on first-degree relatives. Follow-up assessments included the Longitudinal Follow-up Evaluation and Hamilton Depression Rating Scale. Using mixed effects growth curve models, univariate predictors of depression severity and functional impairment at 10-year outcome included older age, less education, concurrent anxiety disorder, greater familial loading for chronic depression, a history of a poorer maternal relationship in childhood, and a history of childhood sexual abuse. In addition, longer duration of dysthymic disorder also predicted greater impairment 10 years later. Predictors of a poorer trajectory of depressive symptoms over time included ethnicity and personality disorders; predictors of a poorer trajectory of social functioning included familial loading of chronic depression and quality of the childhood maternal relationship. Thus, demographic, clinical, family history, and early adversity variables all contribute to predicting the long-term trajectory and outcome of DD. These variables should be routinely assessed in clinical evaluations and can provide clinicians with valuable prognostic information.

Toward an Understanding of Dimensions, Predictors, and the Gender Gap in Written Composition

ERIC Educational Resources Information Center

Kim, Young-Suk; Al Otaiba, Stephanie; Wanzek, Jeanne; Gatlin, Brandy

2015-01-01

We had 3 aims in the present study: (a) to examine the dimensionality of various evaluative approaches to scoring writing samples (e.g., quality, productivity, and curriculum-based measurement [CBM] writing scoring), (b) to investigate unique language and cognitive predictors of the identified dimensions, and (c) to examine gender gap in the…

Concurrent and Longitudinal Predictors of Calculation Skills in Preschoolers

ERIC Educational Resources Information Center

Tobia, Valentina; Bonifacci, Paola; Marzocchi, Gian Marco

2016-01-01

Early calculation abilities in preschoolers are predictive of mathematics achievement in subsequent grades (e.g., Jordan et al. 2009). Two studies were conducted to evaluate concurrent and longitudinal predictors of early calculation skills. In the first study, 102 preschoolers (57.8% female; mean age?=?60.57?±?8.66 months) were given vocabulary,…

Predictors of Teacher Intervention in Indirect Bullying at School and Outcome of a Professional Development Presentation for Teachers

ERIC Educational Resources Information Center

Dedousis-Wallace, Anna; Shute, Rosalyn; Varlow, Megan; Murrihy, Rachael; Kidman, Tony

2014-01-01

This study with 326 girls-school teachers developed and tested a model of predictors of the likelihood that teachers will intervene in indirect bullying, and evaluated a professional development presentation. Teachers responded to bullying vignettes before and after a presentation on indirect bullying (Experimentals) or adolescent mental health…

Teaching Effectiveness, Course Evaluation, and Academic Performance: The Role of Academic Delay of Gratification

ERIC Educational Resources Information Center

Bembenutty, Hefer

2009-01-01

Academic delay of gratification is a significant and positive predictor of students' final course grades, even after controlling for the effect of their rating of the course, expected grade, and degree of interest, importance, and utility of the academic task. Students' expected course grades are by far the strongest predictor of their final…

Predictors of Positive Mood and Negative Mood among Children with Learning Disabilities and Their Peers

ERIC Educational Resources Information Center

Sharabi, Adi; Margalit, Malka

2014-01-01

Positive and negative mood have often been considered indicators of wellbeing, affecting behavior and adjustment. This study evaluated the personal and familial predictors of positive and negative mood among 1,024 Israeli students (children with learning disabilities [LD]: 302 boys, 198 girls; children without LD: 308 boys, 216 girls). They were…

The Potential Observation Network Design with Mesoscale Ensemble Sensitivities in Complex Terrain

DTIC Science & Technology

2012-03-01

in synoptic storms , extratropical transition and developing hurricanes. Because they rely on lagged covariances from a finite-sized ensemble, they...diagnose predictors of forecast error in synoptic storms , extratropical transition and developing hurricanes. Because they rely on lagged covariances...sensitivities can be used successfully to diagnose predictors of forecast error in synoptic storms (Torn and Hakim 2008), extratropical transition (Torn and

Predictors of Registered Nurses' Intention To Quit: Implications for the Management of Health Care Human Resources in North Dakota Hospitals.

ERIC Educational Resources Information Center

Pooyan, Abdullah; And Others

Turnover rates for nurses are among the highest for all professional employees. This study investigated the potential predictors of registered nurses' intention to quit. Survey questionnaires were mailed to a population of 779 registered nurses from two hospitals in North Dakota. Approximately 4 weeks later, usable responses were received from 353…

Is parenting style a predictor of suicide attempts in a representative sample of adolescents?

PubMed

Donath, Carolin; Graessel, Elmar; Baier, Dirk; Bleich, Stefan; Hillemacher, Thomas

2014-04-26

Suicidal ideation and suicide attempts are serious but not rare conditions in adolescents. However, there are several research and practical suicide-prevention initiatives that discuss the possibility of preventing serious self-harm. Profound knowledge about risk and protective factors is therefore necessary. The aim of this study is a) to clarify the role of parenting behavior and parenting styles in adolescents' suicide attempts and b) to identify other statistically significant and clinically relevant risk and protective factors for suicide attempts in a representative sample of German adolescents. In the years 2007/2008, a representative written survey of N = 44,610 students in the 9th grade of different school types in Germany was conducted. In this survey, the lifetime prevalence of suicide attempts was investigated as well as potential predictors including parenting behavior. A three-step statistical analysis was carried out: I) As basic model, the association between parenting and suicide attempts was explored via binary logistic regression controlled for age and sex. II) The predictive values of 13 additional potential risk/protective factors were analyzed with single binary logistic regression analyses for each predictor alone. Non-significant predictors were excluded in Step III. III) In a multivariate binary logistic regression analysis, all significant predictor variables from Step II and the parenting styles were included after testing for multicollinearity. Three parental variables showed a relevant association with suicide attempts in adolescents - (all protective): mother's warmth and father's warmth in childhood and mother's control in adolescence (Step I). In the full model (Step III), Authoritative parenting (protective: OR: .79) and Rejecting-Neglecting parenting (risk: OR: 1.63) were identified as significant predictors (p < .001) for suicidal attempts. Seven further variables were interpreted to be statistically significant and clinically relevant: ADHD, female sex, smoking, Binge Drinking, absenteeism/truancy, migration background, and parental separation events. Parenting style does matter. While children of Authoritative parents profit, children of Rejecting-Neglecting parents are put at risk - as we were able to show for suicide attempts in adolescence. Some of the identified risk factors contribute new knowledge and potential areas of intervention for special groups such as migrants or children diagnosed with ADHD.

The Causal Meaning of Genomic Predictors and How It Affects Construction and Comparison of Genome-Enabled Selection Models

PubMed Central

Valente, Bruno D.; Morota, Gota; Peñagaricano, Francisco; Gianola, Daniel; Weigel, Kent; Rosa, Guilherme J. M.

2015-01-01

The term “effect” in additive genetic effect suggests a causal meaning. However, inferences of such quantities for selection purposes are typically viewed and conducted as a prediction task. Predictive ability as tested by cross-validation is currently the most acceptable criterion for comparing models and evaluating new methodologies. Nevertheless, it does not directly indicate if predictors reflect causal effects. Such evaluations would require causal inference methods that are not typical in genomic prediction for selection. This suggests that the usual approach to infer genetic effects contradicts the label of the quantity inferred. Here we investigate if genomic predictors for selection should be treated as standard predictors or if they must reflect a causal effect to be useful, requiring causal inference methods. Conducting the analysis as a prediction or as a causal inference task affects, for example, how covariates of the regression model are chosen, which may heavily affect the magnitude of genomic predictors and therefore selection decisions. We demonstrate that selection requires learning causal genetic effects. However, genomic predictors from some models might capture noncausal signal, providing good predictive ability but poorly representing true genetic effects. Simulated examples are used to show that aiming for predictive ability may lead to poor modeling decisions, while causal inference approaches may guide the construction of regression models that better infer the target genetic effect even when they underperform in cross-validation tests. In conclusion, genomic selection models should be constructed to aim primarily for identifiability of causal genetic effects, not for predictive ability. PMID:25908318

The reporting quality of randomized controlled trials in orthodontics.

PubMed

Lempesi, Evangelia; Koletsi, Despina; Fleming, Padhraig S; Pandis, Nikolaos

2014-06-01

Accurate trial reporting facilitates evaluation and better use of study results. The objective of this article is to investigate the quality of reporting of randomized controlled trials (RCTs) in leading orthodontic journals, and to explore potential predictors of improved reporting. The 50 most recent issues of 4 leading orthodontic journals until November 2013 were electronically searched. Reporting quality assessment was conducted using the modified CONSORT statement checklist. The relationship between potential predictors and the modified CONSORT score was assessed using linear regression modeling. 128 RCTs were identified with a mean modified CONSORT score of 68.97% (SD = 11.09). The Journal of Orthodontics (JO) ranked first in terms of completeness of reporting (modified CONSORT score 76.21%, SD = 10.1), followed by American Journal of Orthodontics and Dentofacial Orthopedics (AJODO) (73.05%, SD = 10.1). Journal of publication (AJODO: β = 10.08, 95% CI: 5.78, 14.38; JO: β = 16.82, 95% CI: 11.70, 21.94; EJO: β = 7.21, 95% CI: 2.69, 11.72 compared to Angle), year of publication (β = 0.98, 95% CI: 0.28, 1.67 for each additional year), region of authorship (Europe: β = 5.19, 95% CI: 1.30, 9.09 compared to Asia/other), statistical significance (significant: β = 3.10, 95% CI: 0.11, 6.10 compared to non-significant) and methodologist involvement (involvement: β = 5.60, 95% CI: 1.66, 9.54 compared to non-involvement) were all significant predictors of improved modified CONSORT scores in the multivariable model. Additionally, median overall Jadad score was 2 (IQR = 2) across journals, with JO (median = 3, IQR = 1) and AJODO (median = 3, IQR = 2) presenting the highest score values. The reporting quality of RCTs published in leading orthodontic journals is considered suboptimal in various CONSORT areas. This may have a bearing in trial result interpretation and use in clinical decision making and evidence- based orthodontic treatment interventions. Copyright © 2014 Elsevier Inc. All rights reserved.

Severe Extraarticular Manifestations in a Community-based Cohort of Patients with Rheumatoid Arthritis: Risk Factors and Incidence in Relation to Treatment with Tumor Necrosis Factor Inhibitors.

PubMed

Theander, Lisa; Nyhäll-Wåhlin, Britt-Marie; Nilsson, Jan-Åke; Willim, Minna; Jacobsson, Lennart T H; Petersson, Ingemar F; Turesson, Carl

2017-07-01

The aims of this study were to evaluate whether treatment with tumor necrosis factor (TNF) inhibitors in patients with rheumatoid arthritis (RA) affects the risk of developing severe extraarticular rheumatoid arthritis (ExRA) manifestations and to investigate potential predictors for developing ExRA. A dynamic community-based cohort of patients with RA was studied (n = 1977). Clinical records were reviewed and cases of severe ExRA were identified. Information on exposure to TNF inhibitors was obtained from a regional register. Exposure to TNF inhibitors was analyzed in a time-dependent fashion and the incidence of severe ExRA in exposed patients was compared with the incidence in unexposed patients. Cox regression models were used to assess potential predictors of severe ExRA. During treatment with TNF inhibitors, there were 17 patients with new onset of severe ExRA in 2400 person-years at risk (PY; 0.71/100 PY, 95% CI 0.41-1.13) compared with 104 in 15,599 PY (0.67/100 PY, 95% CI 0.54-0.81) in patients without TNF inhibitors. This corresponded to an incidence rate ratio of 1.06 (95% CI 0.60-1.78). The age- and sex-adjusted HR for ExRA in anti-TNF-treated patients was 1.21 (95% CI 1.02-1.43), with similar findings in models adjusted for time-dependent Health Assessment Questionnaire and propensity for anti-TNF treatment. Male sex, positive rheumatoid factor (RF), long disease duration, and greater disability were predictors for ExRA. This study suggests that patients treated with TNF inhibitors are at a slightly increased risk of developing severe ExRA. RF-positive patients with disabling disease of long duration were more likely to develop severe ExRA.

Crowdsourcing novel childhood predictors of adult obesity.

PubMed

Bevelander, Kirsten E; Kaipainen, Kirsikka; Swain, Robert; Dohle, Simone; Bongard, Josh C; Hines, Paul D H; Wansink, Brian

2014-01-01

Effective and simple screening tools are needed to detect behaviors that are established early in life and have a significant influence on weight gain later in life. Crowdsourcing could be a novel and potentially useful tool to assess childhood predictors of adult obesity. This exploratory study examined whether crowdsourcing could generate well-documented predictors in obesity research and, moreover, whether new directions for future research could be uncovered. Participants were recruited through social media to a question-generation website, on which they answered questions and were able to pose new questions that they thought could predict obesity. During the two weeks of data collection, 532 participants (62% female; age  =  26.5±6.7; BMI  =  29.0±7.0) registered on the website and suggested a total of 56 unique questions. Nineteen of these questions correlated with body mass index (BMI) and covered several themes identified by prior research, such as parenting styles and healthy lifestyle. More importantly, participants were able to identify potential determinants that were related to a lower BMI, but have not been the subject of extensive research, such as parents packing their children's lunch to school or talking to them about nutrition. The findings indicate that crowdsourcing can reproduce already existing hypotheses and also generate ideas that are less well documented. The crowdsourced predictors discovered in this study emphasize the importance of family interventions to fight obesity. The questions generated by participants also suggest new ways to express known predictors.

Do bioclimate variables improve performance of climate envelope models?

USGS Publications Warehouse

Watling, James I.; Romañach, Stephanie S.; Bucklin, David N.; Speroterra, Carolina; Brandt, Laura A.; Pearlstine, Leonard G.; Mazzotti, Frank J.

2012-01-01

Climate envelope models are widely used to forecast potential effects of climate change on species distributions. A key issue in climate envelope modeling is the selection of predictor variables that most directly influence species. To determine whether model performance and spatial predictions were related to the selection of predictor variables, we compared models using bioclimate variables with models constructed from monthly climate data for twelve terrestrial vertebrate species in the southeastern USA using two different algorithms (random forests or generalized linear models), and two model selection techniques (using uncorrelated predictors or a subset of user-defined biologically relevant predictor variables). There were no differences in performance between models created with bioclimate or monthly variables, but one metric of model performance was significantly greater using the random forest algorithm compared with generalized linear models. Spatial predictions between maps using bioclimate and monthly variables were very consistent using the random forest algorithm with uncorrelated predictors, whereas we observed greater variability in predictions using generalized linear models.

Prevention of Incontinence Associated Skin Damage in Nursing Homes: Disparities and Predictors

PubMed Central

Bliss, Donna Z.; Gurvich, Olga V.; Mathiason, Michelle A.; Eberly, Lynn E.; Savik, Kay; Harms, Susan; Mueller, Christine; Wyman, Jean F.; Virnig, Beth

2016-01-01

Racial/ethnic disparities in preventing health problems have been reported in nursing homes. Incontinence is common among nursing home residents and can result in inflammatory-type skin damage, referred to as incontinence associated skin damage (IASD). Little is known about the prevention of IASD and whether there are racial/ethnic disparities in its prevention. This study assessed the proportion of older nursing home residents receiving IASD prevention after developing incontinence after admission (n=10,713) and whether there were racial/ethnic disparities in IASD prevention. Predictors of preventing IASD were also examined. Four national datasets provided potential predictors at multiple levels. Disparities were analyzed using the Peters-Belson method; predictors of preventing IASD were assessed using hierarchical logistic regression. Prevention of IASD was received by 0.12 of residents and no racial/ethnic disparities were found. Predictors of preventing IASD were primarily resident level factors including limitations in activities of daily living, poor nutrition, and more oxygenation problems. PMID:27586441

Predictors of Relationship Power among Drug-involved Women

PubMed Central

Campbell, Aimee N. C.; Tross, Susan; Hu, Mei-chen; Pavlicova, Martina; Nunes, Edward V.

2012-01-01

Gender-based relationship power is frequently linked to women’s capacity to reduce sexual risk behaviors. This study offers an exploration of predictors of relationship power, as measured by the multidimensional and theoretically grounded Sexual Relationship Power Scale (SRPS), among women in outpatient substance abuse treatment. Linear models were used to test nine predictors (age, race/ethnicity, education, time in treatment, economic dependence, substance use, sexual concurrency, partner abuse, sex role orientation) of relationship power among 513 women participating in a multi-site HIV risk reduction intervention study. Significant predictors of relationship control included having a non-abusive male partner, only one male partner, and endorsing traditional masculine (or both masculine and feminine) sex role attributes. Predictors of decision-making dominance were interrelated, with substance use x partner abuse and age x sex role orientation interactions. Results contribute to the understanding of factors which may influence relationship power and to their potential role in HIV sexual risk reduction interventions. PMID:22614746

Psychosocial predictors of the onset of anxiety disorders in women: Results from a prospective 3-year longitudinal study

PubMed Central

Calkins, Amanda W.; Otto, Michael W.; Cohen, Lee S.; Soares, Claudio N.; Vitonis, Alison F.; Hearon, Bridget A.; Harlow, Bernard L.

2009-01-01

In a prospective, longitudinal, population-based study of 643 women participating in the Harvard Study of Moods and Cycles we examined whether psychosocial variables predicted a new or recurrent onset of an anxiety disorder. Presence of anxiety disorders was assessed every six months over three years via structured clinical interviews. Among individuals who had a new episode of anxiety, we confirmed previous findings that history of anxiety, increased anxiety sensitivity (the fear of anxiety related sensations), and increased neuroticism were significant predictors. We also found trend level support for assertiveness as a predictor of anxiety onset. However, of these variables, only history of anxiety and anxiety sensitivity provided unique prediction. We did not find evidence for negative life events as a predictor of onset of anxiety either alone or in interaction with other variables in a diathesis-stress model. These findings from a prospective longitudinal study are discussed in relation to the potential role of such predictors in primary or relapse prevention efforts. PMID:19699609

Downscaling reanalysis data to high-resolution variables above a glacier surface (Cordillera Blanca, Peru)

NASA Astrophysics Data System (ADS)

Hofer, Marlis; Mölg, Thomas; Marzeion, Ben; Kaser, Georg

2010-05-01

Recently initiated observation networks in the Cordillera Blanca provide temporally high-resolution, yet short-term atmospheric data. The aim of this study is to extend the existing time series into the past. We present an empirical-statistical downscaling (ESD) model that links 6-hourly NCEP/NCAR reanalysis data to the local target variables, measured at the tropical glacier Artesonraju (Northern Cordillera Blanca). The approach is particular in the context of ESD for two reasons. First, the observational time series for model calibration are short (only about two years). Second, unlike most ESD studies in climate research, we focus on variables at a high temporal resolution (i.e., six-hourly values). Our target variables are two important drivers in the surface energy balance of tropical glaciers; air temperature and specific humidity. The selection of predictor fields from the reanalysis data is based on regression analyses and climatologic considerations. The ESD modelling procedure includes combined empirical orthogonal function and multiple regression analyses. Principal component screening is based on cross-validation using the Akaike Information Criterion as model selection criterion. Double cross-validation is applied for model evaluation. Potential autocorrelation in the time series is considered by defining the block length in the resampling procedure. Apart from the selection of predictor fields, the modelling procedure is automated and does not include subjective choices. We assess the ESD model sensitivity to the predictor choice by using both single- and mixed-field predictors of the variables air temperature (1000 hPa), specific humidity (1000 hPa), and zonal wind speed (500 hPa). The chosen downscaling domain ranges from 80 to 50 degrees west and from 0 to 20 degrees south. Statistical transfer functions are derived individually for different months and times of day (month/hour-models). The forecast skill of the month/hour-models largely depends on month and time of day, ranging from 0 to 0.8, but the mixed-field predictors generally perform better than the single-field predictors. At all time scales, the ESD model shows added value against two simple reference models; (i) the direct use of reanalysis grid point values, and (ii) mean diurnal and seasonal cycles over the calibration period. The ESD model forecast 1960 to 2008 clearly reflects interannual variability related to the El Niño/Southern Oscillation, but is sensitive to the chosen predictor type. So far, we have not assessed the performance of NCEP/NCAR reanalysis data against other reanalysis products. The developed ESD model is computationally cheap and applicable wherever measurements are available for model calibration.

Predictors of Functional Change in a Skilled Nursing Facility Population.

PubMed

Gustavson, Allison M; Falvey, Jason R; Forster, Jeri E; Stevens-Lapsley, Jennifer E

2017-06-21

Inability to obtain sufficient gains in function during a skilled nursing facility (SNF) stay impacts patients' functional trajectories and susceptibility to adverse events. The purpose of this study was to identify predictors of functional change in patients temporarily residing in an SNF following hospitalization. One hundred forty patients admitted to a single SNF from the hospital who had both evaluation and discharge measures of physical function documented were included. Data from the Minimum Data Set 3.0 and electronic medical record were extracted to record clinical and demographic characteristics. The Short Physical Performance Battery (SPPB) was administered by rehabilitation therapists at evaluation and discharge. The SPPB consists of balance tests, gait speed, and a timed 5-time sit-to-stand test. The Patient Health Questionnaire (PHQ-9) Screening Tool for Depression was the only significant predictor of change in gait speed over an SNF stay. Eighty-seven percent of patients achieved a clinically meaningful change in the SPPB of 1 point or greater from evaluation to discharge, with 78% demonstrating a clinically meaningful change of 0.1 m/s or greater on gait speed. However, 69% of patients demonstrated SPPB scores of 6 points or less and 57% ambulated less than 0.65 m/s at the time of discharge from the SNF, which indicates severe disability. Poor physical function following an SNF stay places older adult at significant risk for adverse events including rehospitalization, future disability, and institutionalization. Understanding the predictors of functional change from evaluation to discharge may direct efforts toward developing innovative and effective interventions to improve function trajectories for older adults following an acute hospitalization.

Predictors of mother and child DNA yields in buccal cell samples collected in pediatric cancer epidemiologic studies: a report from the Children's Oncology group.

PubMed

Poynter, Jenny N; Ross, Julie A; Hooten, Anthony J; Langer, Erica; Blommer, Crystal; Spector, Logan G

2013-08-12

Collection of high-quality DNA is essential for molecular epidemiology studies. Methods have been evaluated for optimal DNA collection in studies of adults; however, DNA collection in young children poses additional challenges. Here, we have evaluated predictors of DNA quantity in buccal cells collected for population-based studies of infant leukemia (N = 489 mothers and 392 children) and hepatoblastoma (HB; N = 446 mothers and 412 children) conducted through the Children's Oncology Group. DNA samples were collected by mail using mouthwash (for mothers and some children) and buccal brush (for children) collection kits and quantified using quantitative real-time PCR. Multivariable linear regression models were used to identify predictors of DNA yield. Median DNA yield was higher for mothers in both studies compared with their children (14 μg vs. <1 μg). Significant predictors of DNA yield in children included case-control status (β = -0.69, 50% reduction, P = 0.01 for case vs. control children), brush collection type, and season of sample collection. Demographic factors were not strong predictors of DNA yield in mothers or children in this analysis. The association with seasonality suggests that conditions during transport may influence DNA yield. The low yields observed in most children in these studies highlight the importance of developing alternative methods for DNA collection in younger age groups.

Emotional functioning, attachment style, and attributions as predictors of child abuse potential in domestic violence victims.

PubMed

Rodriguez, Christina M

2006-04-01

To explore cognitive and emotional factors that may exacerbate child-abuse potential among domestic violence victims, 80 participants reported on their depression, hopelessness, anxiety, and anger as well as their attachment style and attributional style. Increased emotional difficulties as well as insecure attachment styles were significantly positively correlated with child abuse potential, although depression and anxiety were the strongest predictors. Externalizing blame for the spousal abuse was not associated with abuse risk. Women residing in shelters demonstrated significantly greater abuse risk than those in transitional housing programs, suggesting that greater temporal proximity to the spousal abuse may in part account for the increased abuse potential. Depression and hopelessness, however, appeared particularly relevant to increased abuse risk in domestic violence victims in the transitional housing system. Implications of these findings for working with battered women in terms of their emotional functioning and attachment style are discussed.

Acute fatty liver of pregnancy: a retrospective study of 32 cases in South China.

PubMed

Cheng, Na; Xiang, Tianxin; Wu, Xiaoping; Li, Ming; Xie, Yao; Zhang, Lunli

2014-11-01

To describe 32 cases of acute fatty liver of pregnancy (AFLP) and identify the potential clinical predictors of maternal and fetal outcomes in South China. Thirty-two cases of AFLP previously treated in the First Affiliated Hospital of Nanchang University in the past 10 years were enrolled in the current study. Sex of fetus and delivery method was the potential clinical predictor of fetal outcome. The main manifestations of AFLP were jaundice (n = 32), nausea and vomiting (n = 28), malaise (n = 25), and ascites (n = 25), and its complications included acute renal failure (n = 26), hepatic encephalopathy (n = 17), infection (n = 10), and postpartum hemorrhage (n = 7). Evidence of fatty changes of liver was demonstrated by B ultrasound and computed tomography (CT). Eighteen patients were recovered due to rapid diagnosis, early termination of pregnancy and supportive treatments. Male sex and vaginal delivery was the risk factor of fetal outcome. Detailed history taking and proper management of potential predictors are important in making the decision of prompt delivery and choosing the appropriate delivery method. Further studies are needed to expand our knowledge on this disease.

Verbal Working Memory in Children With Cochlear Implants

PubMed Central

Caldwell-Tarr, Amanda; Low, Keri E.; Lowenstein, Joanna H.

2017-01-01

Purpose Verbal working memory in children with cochlear implants and children with normal hearing was examined. Participants Ninety-three fourth graders (47 with normal hearing, 46 with cochlear implants) participated, all of whom were in a longitudinal study and had working memory assessed 2 years earlier. Method A dual-component model of working memory was adopted, and a serial recall task measured storage and processing. Potential predictor variables were phonological awareness, vocabulary knowledge, nonverbal IQ, and several treatment variables. Potential dependent functions were literacy, expressive language, and speech-in-noise recognition. Results Children with cochlear implants showed deficits in storage and processing, similar in size to those at second grade. Predictors of verbal working memory differed across groups: Phonological awareness explained the most variance in children with normal hearing; vocabulary explained the most variance in children with cochlear implants. Treatment variables explained little of the variance. Where potentially dependent functions were concerned, verbal working memory accounted for little variance once the variance explained by other predictors was removed. Conclusions The verbal working memory deficits of children with cochlear implants arise due to signal degradation, which limits their abilities to acquire phonological awareness. That hinders their abilities to store items using a phonological code. PMID:29075747

Towards an understanding of dimensions, predictors, and gender gap in written composition

PubMed Central

Kim, Young-Suk; Al Otaiba, Stephanie; Wanzek, Jeanne; Gatlin, Brandy

2014-01-01

We had three aims in the present study: (1) to examine the dimensionality of various evaluative approaches to scoring writing samples (e.g., quality, productivity, and curriculum based writing [CBM]) , (2) to investigate unique language and cognitive predictors of the identified dimensions, and (3) to examine gender gap in the identified dimensions of writing. These questions were addressed using data from second and third grade students (N = 494). Data were analyzed using confirmatory factor analysis and multilevel modeling. Results showed that writing quality, productivity, and CBM scoring were dissociable constructs, but that writing quality and CBM scoring were highly related (r = .82). Language and cognitive predictors differed among the writing outcomes. Boys had lower writing scores than girls even after accounting for language, reading, attention, spelling, handwriting automaticity, and rapid automatized naming. Results are discussed in light of writing evaluation and a developmental model of writing. PMID:25937667

Cognitive appraisals of alcohol use in early adolescence: Psychosocial predictors and reciprocal associations with alcohol use

PubMed Central

Colder, Craig R.; Read, Jennifer P.; Wieczorek, William F.; Eiden, Rina D.; Lengua, Liliana J.; Hawk, Larry W.; Trucco, Elisa M.; Lopez-Vergara, Hector I.

2016-01-01

Early adolescence is a dynamic period for the development of alcohol appraisals (expected outcomes of drinking and subjective evaluations of expected outcomes), yet the literature provides a limited understanding of psychosocial factors that shape these appraisals during this period. This study took a comprehensive view of alcohol appraisals and considered positive and negative alcohol outcome expectancies, as well as subjective evaluations of expected outcomes. Developmental-ecological theory guided examination of individual, peer, family, and neighborhood predictors of cognitive appraisals of alcohol and use. A community sample of 378 adolescents (mean age 11.5 years at Wave 1, 52% female) was assessed annually for 4 years. Longitudinal path analysis suggested that the most robust predictors of alcohol appraisals were peer norms. Furthermore, perceived likelihood of positive and negative alcohol outcomes prospectively predicted increases in drinking. There was limited support for appraisals operating as mediators of psychosocial risk and protective factors. PMID:28479653

A Systematic Review and Meta-Analysis of Predictors of Expressive-Language Outcomes Among Late Talkers.

PubMed

Fisher, Evelyn L

2017-10-17

The purpose of this study was to explore the literature on predictors of outcomes among late talkers using systematic review and meta-analysis methods. We sought to answer the question: What factors predict preschool-age expressive-language outcomes among late-talking toddlers? We entered carefully selected search terms into the following electronic databases: Communication & Mass Media Complete, ERIC, Medline, PsycEXTRA, Psychological and Behavioral Sciences, and PsycINFO. We conducted a separate, random-effects model meta-analysis for each individual predictor that was used in a minimum of 5 studies. We also tested potential moderators of the relationship between predictors and outcomes using metaregression and subgroup analysis. Last, we conducted publication-bias and sensitivity analyses. We identified 20 samples, comprising 2,134 children, in a systematic review. According to the results of the meta-analyses, significant predictors of expressive-language outcomes included toddlerhood expressive-vocabulary size, receptive language, and socioeconomic status. Nonsignificant predictors included phrase speech, gender, and family history. To our knowledge this is the first synthesis of the literature on predictors of outcomes among late talkers using meta-analysis. Our findings clarify the contributions of several constructs to outcomes and highlight the importance of early receptive language to expressive-language development. https://doi.org/10.23641/asha.5313454.

Food consumption, physical activity and socio-economic status related to BMI, waist circumference and waist-to-height ratio in adolescents.

PubMed

Abreu, Sandra; Santos, Rute; Moreira, Carla; Santos, Paula Clara; Mota, Jorge; Moreira, Pedro

2014-08-01

To examine the association between obesity and food group intakes, physical activity and socio-economic status in adolescents. A cross-sectional study was carried out in 2008. Cole's cut-off points were used to categorize BMI. Abdominal obesity was defined by a waist circumference at or above the 90th percentile, as well as a waist-to-height ratio at or above 0·500. Diet was evaluated using an FFQ, and the food group consumption was categorized using sex-specific tertiles of each food group amount. Physical activity was assessed via a self-report questionnaire. Socio-economic status was assessed referring to parental education and employment status. Data were analysed separately for girls and boys and the associations among food consumption, physical activity, socio-economic status and BMI, waist circumference and waist-to-height ratio were evaluated using logistic regression analysis, adjusting the results for potential confounders. Public schools in the Azorean Archipelago, Portugal. Adolescents (n 1209) aged 15-18 years. After adjustment, in boys, higher intake of ready-to-eat cereals was a negative predictor while vegetables were a positive predictor of overweight/obesity and abdominal obesity. Active boys had lower odds of abdominal obesity compared with inactive boys. Boys whose mother showed a low education level had higher odds of abdominal obesity compared with boys whose mother presented a high education level. Concerning girls, higher intake of sweets and pastries was a negative predictor of overweight/obesity and abdominal obesity. Girls in tertile 2 of milk intake had lower odds of abdominal obesity than those in tertile 1. Girls whose father had no relationship with employment displayed higher odds of abdominal obesity compared with girls whose father had high employment status. We have found that different measures of obesity have distinct associations with food group intakes, physical activity and socio-economic status.

Prostate specific antigen density to predict prostate cancer upgrading in a contemporary radical prostatectomy series: a single center experience.

PubMed

Magheli, Ahmed; Hinz, Stefan; Hege, Claudia; Stephan, Carsten; Jung, Klaus; Miller, Kurt; Lein, Michael

2010-01-01

We investigated the value of pretreatment prostate specific antigen density to predict Gleason score upgrading in light of significant changes in grading routine in the last 2 decades. Of 1,061 consecutive men who underwent radical prostatectomy between 1999 and 2004, 843 were eligible for study. Prostate specific antigen density was calculated and a cutoff for highest accuracy to predict Gleason upgrading was determined using ROC curve analysis. The predictive accuracy of prostate specific antigen and prostate specific antigen density to predict Gleason upgrading was evaluated using ROC curve analysis based on predicted probabilities from logistic regression models. Prostate specific antigen and prostate specific antigen density predicted Gleason upgrading on univariate analysis (as continuous variables OR 1.07 and 7.21, each p <0.001) and on multivariate analysis (as continuous variables with prostate specific antigen density adjusted for prostate specific antigen OR 1.07, p <0.001 and OR 4.89, p = 0.037, respectively). When prostate specific antigen density was added to the model including prostate specific antigen and other Gleason upgrading predictors, prostate specific antigen lost its predictive value (OR 1.02, p = 0.423), while prostate specific antigen density remained an independent predictor (OR 4.89, p = 0.037). Prostate specific antigen density was more accurate than prostate specific antigen to predict Gleason upgrading (AUC 0.61 vs 0.57, p = 0.030). Prostate specific antigen density is a significant independent predictor of Gleason upgrading even when accounting for prostate specific antigen. This could be especially important in patients with low risk prostate cancer who seek less invasive therapy such as active surveillance since potentially life threatening disease may be underestimated. Further studies are warranted to help evaluate the role of prostate specific antigen density in Gleason upgrading and its significance for biochemical outcome.

Digital ulcers predict a worse disease course in patients with systemic sclerosis.

PubMed

Mihai, Carina; Landewé, Robert; van der Heijde, Désirée; Walker, Ulrich A; Constantin, Paul I; Gherghe, Ana Maria; Ionescu, Ruxandra; Rednic, Simona; Allanore, Yannick; Avouac, Jérôme; Czirják, László; Hachulla, Eric; Riemekasten, Gabriela; Cozzi, Franco; Airò, Paolo; Cutolo, Maurizio; Mueller-Ladner, Ulf; Matucci-Cerinic, Marco

2016-04-01

Systemic sclerosis (SSc) is a systemic autoimmune disease with high morbidity and significant mortality. There is a great need of predictors that would allow risk stratification of patients with SSc and ultimately initiation of treatment early enough to ensure optimal clinical results. In this study, we evaluated whether a history of digital ulcers (HDU) at presentation may be a predictor of vascular outcomes and of overall clinical worsening and death in patients with SSc. Patients from the EULAR Scleroderma Trials and Research (EUSTAR) database, satisfying at inclusion the 1980 American College of Rheumatology classification criteria for SSc, who had a follow-up of at least 3 years since baseline or who have died, were included in the analysis. HDU at presentation as a predictor of disease worsening or death was evaluated by Cox proportional hazards regression analysis. 3196 patients matched the inclusion criteria (male sex 13.2%, 33.4% diffuse subset). At presentation, 1092/3196 patients had an HDU (34.1%). In multivariable analysis adjusting for age, gender and all parameters considered potentially significant, HDU was predictive for the presence of active digital ulcers (DUs) at prospective visits (HR (95% CI)): 2.41 (1.91 to 3.03), p<0.001, for an elevated systolic pulmonary arterial pressure on heart ultrasound (US-PAPs):1.36 (1.03 to 1.80), p=0.032, for any cardiovascular event (new DUs, elevated US-PAPs or LV failure): 3.56 (2.26 to 5.62), p<0.001, and for death (1.53 (1.16 to 2.02), p=0.003). In patients with SSc, HDU at presentation predicts the occurrence of DUs at follow-up and is associated with cardiovascular worsening and decreased survival. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/

SVM-Based Prediction of Propeptide Cleavage Sites in Spider Toxins Identifies Toxin Innovation in an Australian Tarantula

PubMed Central

Wong, Emily S. W.; Hardy, Margaret C.; Wood, David; Bailey, Timothy; King, Glenn F.

2013-01-01

Spider neurotoxins are commonly used as pharmacological tools and are a popular source of novel compounds with therapeutic and agrochemical potential. Since venom peptides are inherently toxic, the host spider must employ strategies to avoid adverse effects prior to venom use. It is partly for this reason that most spider toxins encode a protective proregion that upon enzymatic cleavage is excised from the mature peptide. In order to identify the mature toxin sequence directly from toxin transcripts, without resorting to protein sequencing, the propeptide cleavage site in the toxin precursor must be predicted bioinformatically. We evaluated different machine learning strategies (support vector machines, hidden Markov model and decision tree) and developed an algorithm (SpiderP) for prediction of propeptide cleavage sites in spider toxins. Our strategy uses a support vector machine (SVM) framework that combines both local and global sequence information. Our method is superior or comparable to current tools for prediction of propeptide sequences in spider toxins. Evaluation of the SVM method on an independent test set of known toxin sequences yielded 96% sensitivity and 100% specificity. Furthermore, we sequenced five novel peptides (not used to train the final predictor) from the venom of the Australian tarantula Selenotypus plumipes to test the accuracy of the predictor and found 80% sensitivity and 99.6% 8-mer specificity. Finally, we used the predictor together with homology information to predict and characterize seven groups of novel toxins from the deeply sequenced venom gland transcriptome of S. plumipes, which revealed structural complexity and innovations in the evolution of the toxins. The precursor prediction tool (SpiderP) is freely available on ArachnoServer (http://www.arachnoserver.org/spiderP.html), a web portal to a comprehensive relational database of spider toxins. All training data, test data, and scripts used are available from the SpiderP website. PMID:23894279

Frequency, predictors, and consequences of crossing over to revascularization within 12 months of randomization to optimal medical therapy in the Clinical Outcomes Utilizing Revascularization and Aggressive Drug Evaluation (COURAGE) trial.

PubMed

Spertus, John A; Maron, David J; Cohen, David J; Kolm, Paul; Hartigan, Pam; Weintraub, William S; Berman, Daniel S; Teo, Koon K; Shaw, Leslee J; Sedlis, Steven P; Knudtson, Merril; Aslan, Mihaela; Dada, Marcin; Boden, William E; Mancini, G B John

2013-07-01

In the Clinical Outcomes Utilizing Revascularization and Aggressive Drug Evaluation (COURAGE) trial, some patients with stable ischemic heart disease randomized to optimal medical therapy (OMT) crossed over to early revascularization. The predictors and outcomes of patients who crossed over from OMT to revascularization are unknown. We compared characteristics of OMT patients who did and did not undergo revascularization within 12 months and created a Cox regression model to identify predictors of early revascularization. Patients' health status was measured with the Seattle Angina Questionnaire. To quantify the potential consequences of initiating OMT without percutaneous coronary intervention, we compared the outcomes of crossover patients with a matched cohort randomized to immediate percutaneous coronary intervention. Among 1148 patients randomized to OMT, 185 (16.1%) underwent early revascularization. Patient characteristics independently associated with early revascularization were worse baseline Seattle Angina Questionnaire scores and healthcare system. Among 156 OMT patients undergoing early revascularization matched to 156 patients randomized to percutaneous coronary intervention, rates of mortality (hazard ratio=0.51 [0.13-2.1]) and nonfatal myocardial infarction (hazard ratio=1.9 [0.75-4.6]) were similar, as were 1-year Seattle Angina Questionnaire scores. OMT patients, however, experienced worse health status over the initial year of treatment and more unstable angina admissions (hazard ratio=2.8 [1.1-7.5]). Among COURAGE patients assigned to OMT alone, patients' angina, dissatisfaction with their current treatment, and, to a lesser extent, their health system were associated with early revascularization. Because early crossover was not associated with an increase in irreversible ischemic events or impaired 12-month health status, these findings support an initial trial of OMT in stable ischemic heart disease with close follow-up of the most symptomatic patients. URL: http://www.clinicaltrials.gov. Unique identifier: NCT00007657.

Three-dimensional evaluation of human jaw bone microarchitecture: correlation between the microarchitectural parameters of cone beam computed tomography and micro-computer tomography.

PubMed

Kim, Jo-Eun; Yi, Won-Jin; Heo, Min-Suk; Lee, Sam-Sun; Choi, Soon-Chul; Huh, Kyung-Hoe

2015-12-01

To evaluate the potential feasibility of cone beam computed tomography (CBCT) in the assessment of trabecular bone microarchitecture. Sixty-eight specimens from four pairs of human jaw were scanned using both micro-computed tomography (micro-CT) of 19.37-μm voxel size and CBCT of 100-μm voxel size. The correlation of 3-dimensional parameters between CBCT and micro-CT was evaluated. All parameters, except bone-specific surface and trabecular thickness, showed linear correlations between the 2 imaging modalities (P < .05). Among the parameters, bone volume, percent bone volume, trabecular separation, and degree of anisotropy (DA) of CBCT images showed strong correlations with those of micro-CT images. DA showed the strongest correlation (r = 0.693). Most microarchitectural parameters from CBCT were correlated with those from micro-CT. Some microarchitectural parameters, especially DA, could be used as strong predictors of bone quality in the human jaw. Copyright © 2015 Elsevier Inc. All rights reserved.

Comparison of molecular breeding values based on within- and across-breed training in beef cattle

PubMed Central

2013-01-01

Background Although the efficacy of genomic predictors based on within-breed training looks promising, it is necessary to develop and evaluate across-breed predictors for the technology to be fully applied in the beef industry. The efficacies of genomic predictors trained in one breed and utilized to predict genetic merit in differing breeds based on simulation studies have been reported, as have the efficacies of predictors trained using data from multiple breeds to predict the genetic merit of purebreds. However, comparable studies using beef cattle field data have not been reported. Methods Molecular breeding values for weaning and yearling weight were derived and evaluated using a database containing BovineSNP50 genotypes for 7294 animals from 13 breeds in the training set and 2277 animals from seven breeds (Angus, Red Angus, Hereford, Charolais, Gelbvieh, Limousin, and Simmental) in the evaluation set. Six single-breed and four across-breed genomic predictors were trained using pooled data from purebred animals. Molecular breeding values were evaluated using field data, including genotypes for 2227 animals and phenotypic records of animals born in 2008 or later. Accuracies of molecular breeding values were estimated based on the genetic correlation between the molecular breeding value and trait phenotype. Results With one exception, the estimated genetic correlations of within-breed molecular breeding values with trait phenotype were greater than 0.28 when evaluated in the breed used for training. Most estimated genetic correlations for the across-breed trained molecular breeding values were moderate (> 0.30). When molecular breeding values were evaluated in breeds that were not in the training set, estimated genetic correlations clustered around zero. Conclusions Even for closely related breeds, within- or across-breed trained molecular breeding values have limited prediction accuracy for breeds that were not in the training set. For breeds in the training set, across- and within-breed trained molecular breeding values had similar accuracies. The benefit of adding data from other breeds to a within-breed training population is the ability to produce molecular breeding values that are more robust across breeds and these can be utilized until enough training data has been accumulated to allow for a within-breed training set. PMID:23953034

Concern for Lost Income Following Donation Deters Some Patients From Talking to Potential Living Donors.

PubMed

Rodrigue, James R; Schold, Jesse D; Mandelbrot, Didier A; Taber, David J; Phan, Van; Baliga, Prabhakar K

2016-12-01

Some living kidney donors report lost income during recovery from surgery. Little is known about whether concern for living donor's lost income affects the decision to undergo donation evaluation and the willingness of transplant candidates to discuss living kidney donation (LKD) with others. To examine whether transplant patients were told by potential donors about lost income concerns and whether patients chose not to discuss LKD with others due to lost income concerns. Kidney transplant patients (185 wait-listed candidates, 171 deceased donor recipients, and 100 live donor recipients) at 2 centers completed a questionnaire to assess whether concern about donor's lost income was a consideration in discussion about LKD with others. One-third (32%) were told by a family member/friend that they were willing to donate but were concerned about potential lost income. The majority of those who expressed financial concern (64%) did not initiate donation evaluation. Many patients (42%) chose not to discuss living donation with a family member/friend due to concern about the impact of lost income on the donor. In the multivariable model, lower annual household income was the only statistically significant predictor of both having a potential donor expressing lost income concern and choosing not to talk to someone because of lost income concern. Findings from the current study underscore how concern about income loss for living donors may affect decision-making by both transplant candidates and potential donors.

Importance of Multimodal MRI in Characterizing Brain Tissue and Its Potential Application for Individual Age Prediction.

PubMed

Cherubini, Andrea; Caligiuri, Maria Eugenia; Peran, Patrice; Sabatini, Umberto; Cosentino, Carlo; Amato, Francesco

2016-09-01

This study presents a voxel-based multiple regression analysis of different magnetic resonance image modalities, including anatomical T1-weighted, T2(*) relaxometry, and diffusion tensor imaging. Quantitative parameters sensitive to complementary brain tissue alterations, including morphometric atrophy, mineralization, microstructural damage, and anisotropy loss, were compared in a linear physiological aging model in 140 healthy subjects (range 20-74 years). The performance of different predictors and the identification of the best biomarker of age-induced structural variation were compared without a priori anatomical knowledge. The best quantitative predictors in several brain regions were iron deposition and microstructural damage, rather than macroscopic tissue atrophy. Age variations were best resolved with a combination of markers, suggesting that multiple predictors better capture age-induced tissue alterations. The results of the linear model were used to predict apparent age in different regions of individual brain. This approach pointed to a number of novel applications that could potentially help highlighting areas particularly vulnerable to disease.

Sociodemographic and psychosocial factors in childhood as predictors of adult mortality.

PubMed Central

Schwartz, J E; Friedman, H S; Tucker, J S; Tomlinson-Keasey, C; Wingard, D L; Criqui, M H

1995-01-01

OBJECTIVES: Childhood sociodemographic, psychosocial, and environmental factors are often assumed to affect adult health and longevity. These relationships were prospectively tested by using the 7-decade Terman Life Cycle Study of Children With High Ability (n = 1285). METHODS: Parental socioeconomic status, childhood health, objective childhood stressors (e.g., death or divorce of parents), and childhood personality were considered as potential predictors in hazard regression analyses of longevity through 1991. RESULTS: Parental divorce during childhood predicted decreased longevity, with sex controlled. Other potential social predictors failed to show significant associations with longevity. Three dimensions of childhood personality--conscientiousness, lack of cheerfulness, and permanency of mood (males only)--predicted increased longevity. The effects of parental divorce and childhood personality were largely independent and did not account for any of the gender difference in mortality. CONCLUSIONS: A small number of childhood factors significantly predicted mortality across the life span in this sample. Further research should focus on how these psychosocial factors influence longevity. PMID:7661231

Academic performance, career potential, creativity, and job performance: can one construct predict them all?

PubMed

Kuncel, Nathan R; Hezlett, Sarah A; Ones, Deniz S

2004-01-01

This meta-analysis addresses the question of whether 1 general cognitive ability measure developed for predicting academic performance is valid for predicting performance in both educational and work domains. The validity of the Miller Analogies Test (MAT; W. S. Miller, 1960) for predicting 18 academic and work-related criteria was examined. MAT correlations with other cognitive tests (e.g., Raven's Matrices [J. C. Raven, 1965]; Graduate Record Examinations) also were meta-analyzed. The results indicate that the abilities measured by the MAT are shared with other cognitive ability instruments and that these abilities are generalizably valid predictors of academic and vocational criteria, as well as evaluations of career potential and creativity. These findings contradict the notion that intelligence at work is wholly different from intelligence at school, extending the voluminous literature that supports the broad importance of general cognitive ability (g).

The Geological Susceptibility of Induced Earthquakes in the Duvernay Play

NASA Astrophysics Data System (ADS)

Pawley, Steven; Schultz, Ryan; Playter, Tiffany; Corlett, Hilary; Shipman, Todd; Lyster, Steven; Hauck, Tyler

2018-02-01

Presently, consensus on the incorporation of induced earthquakes into seismic hazard has yet to be established. For example, the nonstationary, spatiotemporal nature of induced earthquakes is not well understood. Specific to the Western Canada Sedimentary Basin, geological bias in seismogenic activation potential has been suggested to control the spatial distribution of induced earthquakes regionally. In this paper, we train a machine learning algorithm to systemically evaluate tectonic, geomechanical, and hydrological proxies suspected to control induced seismicity. Feature importance suggests that proximity to basement, in situ stress, proximity to fossil reef margins, lithium concentration, and rate of natural seismicity are among the strongest model predictors. Our derived seismogenic potential map faithfully reproduces the current distribution of induced seismicity and is suggestive of other regions which may be prone to induced earthquakes. The refinement of induced seismicity geological susceptibility may become an important technique to identify significant underlying geological features and address induced seismic hazard forecasting issues.

Evaluation of the membrane permeability (PAMPA and skin) of benzimidazoles with potential cannabinoid activity and their relation with the Biopharmaceutics Classification System (BCS).

PubMed

Alvarez-Figueroa, M Javiera; Pessoa-Mahana, C David; Palavecino-González, M Elisa; Mella-Raipán, Jaime; Espinosa-Bustos, Cristián; Lagos-Muñoz, Manuel E

2011-06-01

The permeability of five benzimidazole derivates with potential cannabinoid activity was determined in two models of membranes, parallel artificial membrane permeability assay (PAMPA) and skin, in order to study the relationship of the physicochemical properties of the molecules and characteristics of the membranes with the permeability defined by the Biopharmaceutics Classification System. It was established that the PAMPA intestinal absorption method is a good predictor for classifying these molecules as very permeable, independent of their thermodynamic solubility, if and only if these have a Log P(oct) value <3.0. In contrast, transdermal permeability is conditioned on the solubility of the molecule so that it can only serve as a model for classifying the permeability of molecules that possess high solubility (class I: high solubility, high permeability; class III: high solubility, low permeability).

Evaluation of pharmacotherapy complexity in residents of long-term care facilities: a cross-sectional descriptive study.

PubMed

Alves-Conceição, Vanessa; Silva, Daniel Tenório da; Santana, Vanessa Lima de; Santos, Edileide Guimarães Dos; Santos, Lincoln Marques Cavalcante; Lyra, Divaldo Pereira de

2017-07-25

Polypharmacy is a reality in long-term care facilities. However, number of medications used by the patient should not be the only predictor of a complex pharmacotherapy. Although the level of complexity of pharmacotherapy is considered an important factor that may lead to side effects, there are few studies in this field. The aim of this study was to evaluate the complexity of pharmacotherapy in residents of three long-term care facilities. A cross-sectional study was performed to evaluate the complexity of pharmacotherapy using the protocols laid out in the Medication Regimen Complexity Index instrument in three long-term care facilities in northeastern Brazil. As a secondary result, potential drug interactions, potentially inappropriate medications, medication duplication, and polypharmacy were evaluated. After the assessment, the association among these variables and the Medication Regimen Complexity Index was performed. In this study, there was a higher prevalence of women (64.4%) with a high mean age among the study population of 81.8 (±9.7) years. The complexity of pharmacotherapy obtained a mean of 15.1 points (±9.8), with a minimum of 2 and a maximum of 59. The highest levels of complexity were associated with dose frequency, with a mean of 5.5 (±3.6), followed by additional instructions of use averaging 4.9 (±3.7) and by the dosage forms averaging 4.6 (±3.0). The present study evaluated some factors that complicate the pharmacotherapy of geriatric patients. Although polypharmacy was implicated as a factor directly related to complexity, other indicators such as drug interactions, potentially inappropriate medications, and therapeutic duplication can also make the use of pharmacotherapy in such patients more difficult.

Clinical Predictors and Outcome of Metabolic Acidosis in Under-Five Children Admitted to an Urban Hospital in Bangladesh with Diarrhea and Pneumonia

PubMed Central

Chisti, Mohammod J.; Ahmed, Tahmeed; Ashraf, Hasan; Faruque, A. S. G.; Bardhan, Pradip K.; Dey, Sanjoy Kumer; Huq, Sayeeda; Das, Sumon Kumar; Salam, Mohammed A.

2012-01-01

Background Clinical features of metabolic acidosis and pneumonia frequently overlap in young diarrheal children, resulting in differentiation from each other very difficult. However, there is no published data on the predictors of metabolic acidosis in diarrheal children also having pneumonia. Our objective was to evaluate clinical predictors of metabolic acidosis in under-five diarrheal children with radiological pneumonia, and their outcome. Methods We prospectively enrolled all under-five children (n = 164) admitted to the Special Care Ward (SCW) of the Dhaka Hospital of icddr, b between September and December 2007 with diarrhea and radiological pneumonia who also had their total serum carbon-dioxide estimated. We compared the clinical features and outcome of children with radiological pneumonia and diarrhea with (n = 98) and without metabolic acidosis (n = 66). Results Children with metabolic acidosis more often had higher case-fatality (16% vs. 5%, p = 0.039) compared to those without metabolic acidosis on admission. In logistic regression analysis, after adjusting for potential confounders such as age of the patient, fever on admission, and severe wasting, the independent predictors of metabolic acidosis in under-five diarrheal children having pneumonia were clinical dehydration (OR 3.57, 95% CI 1.62–7.89, p = 0.002), and low systolic blood pressure even after full rehydration (OR 1.02, 95% CI 1.01–1.04, p = 0.005). Proportions of children with cough, respiratory rate/minute, lower chest wall indrawing, nasal flaring, head nodding, grunting respiration, and cyanosis were comparable (p>0.05) among the groups. Conclusion and Significance Under-five diarrheal children with radiological pneumonia having metabolic acidosis had frequent fatal outcome than those without acidosis. Clinical dehydration and persistent systolic hypotension even after adequate rehydration were independent clinical predictors of metabolic acidosis among the children. However, metabolic acidosis in young diarrheal children had no impact on the diagnostic clinical features of radiological pneumonia which underscores the importance of early initiation of appropriate antibiotics to combat morbidity and deaths in such population. PMID:22720060

Carrying capacity for species richness as context for conservation: a case study of North American birds

Treesearch

Andrew J. Hansen; Linda Bowers Phillips; Curtis H. Flather; Jim Robinson-Cox

2011-01-01

We evaluated the leading hypotheses on biophysical factors affecting species richness for Breeding Bird Survey routes from areas with little influence of human activities.We then derived a best model based on information theory, and used this model to extrapolate SK across North America based on the biophysical predictor variables. The predictor variables included the...

Short- and Long-Term Theory-Based Predictors of Physical Activity in Women Who Participated in a Weight-Management Program

ERIC Educational Resources Information Center

Wasserkampf, A.; Silva, M. N.; Santos, I. C.; Carraça, E. V.; Meis, J. J. M.; Kremers, S. P. J.; Teixeira, P. J.

2014-01-01

This study analyzed psychosocial predictors of the Theory of Planned Behavior (TPB) and Self-Determination Theory (SDT) and evaluated their associations with short- and long-term moderate plus vigorous physical activity (MVPA) and lifestyle physical activity (PA) outcomes in women who underwent a weight-management program. 221 participants (age…

Toward a Predictive Model of Community College Student Success in Blended Classes

ERIC Educational Resources Information Center

Volchok, Edward

2018-01-01

This retrospective study evaluates early semester predictors of whether or not community college students will successfully complete blended or hybrid courses. These predictors are available to faculty by the fourth week of the semester. Success is defined as receiving a grade of C- or higher. Failure is defined as a grade below a C- or a…

Predictors of Substance Use and Family Therapy Outcome among Physically and Sexually Abused Runaway Adolescents

ERIC Educational Resources Information Center

Slesnick, Natasha; Bartle-Haring, Suzanne; Gangamma, Rashmi

2006-01-01

There is a dearth of research that examines the impact of family systems therapy on problems among sexually and/or physically abused youth. Given this void, differential outcome and predictors of substance use change were evaluated for abused, as compared with nonabused, runaway adolescents who were randomly assigned to family therapy or treatment…

Paper-based and web-based intervention modeling experiments identified the same predictors of general practitioners' antibiotic-prescribing behavior.

PubMed

Treweek, Shaun; Bonetti, Debbie; Maclennan, Graeme; Barnett, Karen; Eccles, Martin P; Jones, Claire; Pitts, Nigel B; Ricketts, Ian W; Sullivan, Frank; Weal, Mark; Francis, Jill J

2014-03-01

To evaluate the robustness of the intervention modeling experiment (IME) methodology as a way of developing and testing behavioral change interventions before a full-scale trial by replicating an earlier paper-based IME. Web-based questionnaire and clinical scenario study. General practitioners across Scotland were invited to complete the questionnaire and scenarios, which were then used to identify predictors of antibiotic-prescribing behavior. These predictors were compared with the predictors identified in an earlier paper-based IME and used to develop a new intervention. Two hundred seventy general practitioners completed the questionnaires and scenarios. The constructs that predicted simulated behavior and intention were attitude, perceived behavioral control, risk perception/anticipated consequences, and self-efficacy, which match the targets identified in the earlier paper-based IME. The choice of persuasive communication as an intervention in the earlier IME was also confirmed. Additionally, a new intervention, an action plan, was developed. A web-based IME replicated the findings of an earlier paper-based IME, which provides confidence in the IME methodology. The interventions will now be evaluated in the next stage of the IME, a web-based randomized controlled trial. Copyright © 2014 Elsevier Inc. All rights reserved.

Volume change and liver parenchymal signal intensity in Gd-EOB-DTPA-enhanced magnetic resonance imaging after portal vein embolization prior to hepatectomy.

PubMed

Akiba, Ayako; Murata, Satoru; Mine, Takahiko; Onozawa, Shiro; Sekine, Tetsuro; Amano, Yasuo; Kawano, Youichi; Uchida, Eiji; Kumita, Shin-ichiro

2014-01-01

To investigate the liver volume change and the potential of early evaluation by contrast-enhanced magnetic resonance imaging (MRI) using gadolinium-ethoxybenzyl-diethylenetriamine pentaacetic acid (Gd-EOB-DTPA) after portal vein embolization (PVE). Retrospective evaluations of computed tomography (CT) volumetry of total liver and nonembolized areas were performed before and 3 weeks after PVE in 37 cases. The percentage of future liver remnant (%FLR) and the change ratio of %FLR (%FLR ratio) were calculated. Prospective evaluation of signal intensities (SIs) was performed to estimate the role of Gd-EOB-DTPA-enhanced MRI as a predictor of hypertrophy in 16 cases. The SI contrast between embolized and nonembolized areas was calculated 1 week after PVE. The change in SI contrast before and after PVE (SI ratio) was also calculated in 11 cases. %FLR ratio significantly increased, and SI ratio significantly decreased (both P < 0.01). There were significant negative correlations between %FLR and SI contrast and between %FLR and SI ratio (both P < 0.01). Hypertrophy in the nonembolized area after PVE was indicated by CT volumetry, and measurement of SI contrast and SI ratio in Gd-EOB-DTPA-enhanced MRI early after PVE may be useful to predict the potential for hepatic hypertrophy.

Predicting the In-Hospital Responsiveness to Treatment of Alcoholics. Social Factors as Predictors of Outcome. Brain Damage as a Factor in Treatment Outcome of Chronic Alcoholic Patients.

ERIC Educational Resources Information Center

Mascia, George V.; And Others

The authors attempt to locate predictor variables associated with the outcome of alcoholic treatment programs. Muscia's study focuses on the predictive potential of: (1) response to a GSR conditioning procedure; (2) several personality variables; and (3) age and IQ measures. Nine variables, reflecting diverse perspectives, were selected as a basis…

Uncertainties of statistical downscaling from predictor selection: Equifinality and transferability

NASA Astrophysics Data System (ADS)

Fu, Guobin; Charles, Stephen P.; Chiew, Francis H. S.; Ekström, Marie; Potter, Nick J.

2018-05-01

The nonhomogeneous hidden Markov model (NHMM) statistical downscaling model, 38 catchments in southeast Australia and 19 general circulation models (GCMs) were used in this study to demonstrate statistical downscaling uncertainties caused by equifinality to and transferability. That is to say, there could be multiple sets of predictors that give similar daily rainfall simulation results for both calibration and validation periods, but project different amounts (or even directions of change) of rainfall changing in the future. Results indicated that two sets of predictors (Set 1 with predictors of sea level pressure north-south gradient, u-wind at 700 hPa, v-wind at 700 hPa, and specific humidity at 700 hPa and Set 2 with predictors of sea level pressure north-south gradient, u-wind at 700 hPa, v-wind at 700 hPa, and dewpoint temperature depression at 850 hPa) as inputs to the NHMM produced satisfactory results of seasonal rainfall in comparison with observations. For example, during the model calibration period, the relative errors across the 38 catchments ranged from 0.48 to 1.76% with a mean value of 1.09% for the predictor Set 1, and from 0.22 to 2.24% with a mean value of 1.16% for the predictor Set 2. However, the changes of future rainfall from NHMM projections based on 19 GCMs produced projections with a different sign for these two different sets of predictors: Set 1 predictors project an increase of future rainfall with magnitudes depending on future time periods and emission scenarios, but Set 2 predictors project a decline of future rainfall. Such divergent projections may present a significant challenge for applications of statistical downscaling as well as climate change impact studies, and could potentially imply caveats in many existing studies in the literature.

Cognitive and behavioral predictors of MMPI scores in pretrial psychological evaluations of murderers.

PubMed

Holcomb, W R; Adams, N A; Ponder, H M; Anderson, W P

1984-03-01

Tested by multivariate regression the validity of the MMPI with accused murderers (N = 96) who were undergoing pre-trial evaluations. Four significant behavioral and cognitive predictors of MMPI elevated scores were identified. These include low intelligence, history of drug abuse, suspiciousness observed on the ward, and the fact that the accused was a stranger to the victim. These results support the validity of the MMPI with this population and also suggest that high F scale scores on the MMPI are more a measure of psychopathology than invalidity due to test-taking response bias.

Predictors of blood trihalomethane concentrations in NHANES 1999-2006.

PubMed

Riederer, Anne M; Dhingra, Radhika; Blount, Benjamin C; Steenland, Kyle

2014-07-01

Trihalomethanes (THMs) are water disinfection by-products that have been associated with bladder cancer and adverse birth outcomes. Four THMs (bromoform, chloroform, bromodichloromethane, dibromochloromethane) were measured in blood and tap water of U.S. adults in the National Health and Nutrition Examination Survey (NHANES) 1999-2006. THMs are metabolized to potentially toxic/mutagenic intermediates by cytochrome p450 (CYP) 2D6 and CYP2E1 enzymes. We conducted exploratory analyses of blood THMs, including factors affecting CYP2D6 and CYP2E1 activity. We used weighted multivariable regressions to evaluate associations between blood THMs and water concentrations, survey year, and other factors potentially affecting THM exposure or metabolism (e.g., prescription medications, cruciferous vegetables, diabetes, fasting, pregnancy, swimming). From 1999 to 2006, geometric mean blood and water THM levels dropped in parallel, with decreases of 32%-76% in blood and 38%-52% in water, likely resulting, in part, from the lowering of the total THM drinking water standard in 2002-2004. The strongest predictors of blood THM levels were survey year and water concentration (n = 4,232 total THM; n = 4,080 bromoform; n = 4,582 chloroform; n = 4,374 bromodichloromethane; n = 4,464 dibromochloromethane). We detected statistically significant inverse associations with diabetes and eating cruciferous vegetables in all but the bromoform model. Medications did not consistently predict blood levels. Afternoon/evening blood samples had lower THM concentrations than morning samples. In a subsample (n = 230), air chloroform better predicted blood chloroform than water chloroform, suggesting showering/bathing was a more important source than drinking. We identified several factors associated with blood THMs that may affect their metabolism. The potential health implications require further study.

Remote sensing-based predictors improve distribution models of rare, early successional and broadleaf tree species in Utah

USGS Publications Warehouse

Zimmermann, N.E.; Edwards, T.C.; Moisen, Gretchen G.; Frescino, T.S.; Blackard, J.A.

2007-01-01

1. Compared to bioclimatic variables, remote sensing predictors are rarely used for predictive species modelling. When used, the predictors represent typically habitat classifications or filters rather than gradual spectral, surface or biophysical properties. Consequently, the full potential of remotely sensed predictors for modelling the spatial distribution of species remains unexplored. Here we analysed the partial contributions of remotely sensed and climatic predictor sets to explain and predict the distribution of 19 tree species in Utah. We also tested how these partial contributions were related to characteristics such as successional types or species traits. 2. We developed two spatial predictor sets of remotely sensed and topo-climatic variables to explain the distribution of tree species. We used variation partitioning techniques applied to generalized linear models to explore the combined and partial predictive powers of the two predictor sets. Non-parametric tests were used to explore the relationships between the partial model contributions of both predictor sets and species characteristics. 3. More than 60% of the variation explained by the models represented contributions by one of the two partial predictor sets alone, with topo-climatic variables outperforming the remotely sensed predictors. However, the partial models derived from only remotely sensed predictors still provided high model accuracies, indicating a significant correlation between climate and remote sensing variables. The overall accuracy of the models was high, but small sample sizes had a strong effect on cross-validated accuracies for rare species. 4. Models of early successional and broadleaf species benefited significantly more from adding remotely sensed predictors than did late seral and needleleaf species. The core-satellite species types differed significantly with respect to overall model accuracies. Models of satellite and urban species, both with low prevalence, benefited more from use of remotely sensed predictors than did the more frequent core species. 5. Synthesis and applications. If carefully prepared, remotely sensed variables are useful additional predictors for the spatial distribution of trees. Major improvements resulted for deciduous, early successional, satellite and rare species. The ability to improve model accuracy for species having markedly different life history strategies is a crucial step for assessing effects of global change. ?? 2007 The Authors.

Remote sensing-based predictors improve distribution models of rare, early successional and broadleaf tree species in Utah

PubMed Central

ZIMMERMANN, N E; EDWARDS, T C; MOISEN, G G; FRESCINO, T S; BLACKARD, J A

2007-01-01

Compared to bioclimatic variables, remote sensing predictors are rarely used for predictive species modelling. When used, the predictors represent typically habitat classifications or filters rather than gradual spectral, surface or biophysical properties. Consequently, the full potential of remotely sensed predictors for modelling the spatial distribution of species remains unexplored. Here we analysed the partial contributions of remotely sensed and climatic predictor sets to explain and predict the distribution of 19 tree species in Utah. We also tested how these partial contributions were related to characteristics such as successional types or species traits. We developed two spatial predictor sets of remotely sensed and topo-climatic variables to explain the distribution of tree species. We used variation partitioning techniques applied to generalized linear models to explore the combined and partial predictive powers of the two predictor sets. Non-parametric tests were used to explore the relationships between the partial model contributions of both predictor sets and species characteristics. More than 60% of the variation explained by the models represented contributions by one of the two partial predictor sets alone, with topo-climatic variables outperforming the remotely sensed predictors. However, the partial models derived from only remotely sensed predictors still provided high model accuracies, indicating a significant correlation between climate and remote sensing variables. The overall accuracy of the models was high, but small sample sizes had a strong effect on cross-validated accuracies for rare species. Models of early successional and broadleaf species benefited significantly more from adding remotely sensed predictors than did late seral and needleleaf species. The core-satellite species types differed significantly with respect to overall model accuracies. Models of satellite and urban species, both with low prevalence, benefited more from use of remotely sensed predictors than did the more frequent core species. Synthesis and applications. If carefully prepared, remotely sensed variables are useful additional predictors for the spatial distribution of trees. Major improvements resulted for deciduous, early successional, satellite and rare species. The ability to improve model accuracy for species having markedly different life history strategies is a crucial step for assessing effects of global change. PMID:18642470

MLH1 as a direct target of MiR-155 and a potential predictor of favorable prognosis in pancreatic cancer.

PubMed

Liu, Wen-Jing; Zhao, Yu-Pei; Zhang, Tai-Ping; Zhou, Li; Cui, Quan-Cai; Zhou, Wei-Xun; You, Lei; Chen, Ge; Shu, Hong

2013-08-01

The regulation of Mut L homologue 1 (MLH1) expression by microRNA (miR)-155 and its prognostic significance in pancreatic cancer (PC) remain to be elucidated. This study aimed to address the issues. MiR-155 mimics and inhibitor were transfected to PC cell lines, Panc-1 and Capan-1. Expression of MLH1 was subsequently evaluated. Then, luciferase activity was detected after miR-155 mimics and pRL-TK plasmids containing wild-type and mutant 3'UTRs of MLH1 mRNA were co-transfected. Finally, immunohistochemical staining for MLH1 was performed in PC samples. Transfection of miR-155 mimics and inhibitor led to reversely altered protein expressions of miR-155 and MLH1, whereas the corresponding mRNA expressions were similar. A significant decrease in luciferase activity in the cells transfected with the wild-type pRL-TK plasmid was shown in contrast to those transfected with the mutant one. In addition, MLH1 was less expressed in tumor than in para-tumor tissues of PC. Extensive MLH1 expression was significantly associated with favorable differentiation and less lymph node metastasis. MLH1 expression was found to be a prognosticator in univariate analysis, and being of marginally significant impact in multivariate test. MLH1 might serve as a direct target of miR-155 and a potential prognosis predictor in PC.

Blunted Neural Response to Rewards as a Prospective Predictor of the Development of Depression in Adolescent Girls.

PubMed

Nelson, Brady D; Perlman, Greg; Klein, Daniel N; Kotov, Roman; Hajcak, Greg

2016-12-01

A blunted neural response to rewards has recently emerged as a potential mechanistic biomarker of adolescent depression. The reward positivity, an event-related potential elicited by feedback indicating monetary gain relative to loss, has been associated with risk for depression. The authors examined whether the reward positivity prospectively predicted the development of depression 18 months later in a large community sample of adolescent girls. The sample included 444 girls 13.5-15.5 years old with no lifetime history of a depressive disorder, along with a biological parent for each girl. At baseline, the adolescents' reward positivity was measured using a monetary guessing task, their current depressive symptoms were assessed using a self-report questionnaire, and the adolescents' and parents' lifetime psychiatric histories were evaluated with diagnostic interviews. The same interview and questionnaire were administered to the adolescents again approximately 18 months later. A blunted reward positivity at baseline predicted first-onset depressive disorder and greater depressive symptom scores 18 months later. The reward positivity was also a significant predictor independent of other prominent risk factors, including baseline depressive symptoms and adolescent and parental lifetime psychiatric history. The combination of a blunted reward positivity and greater depressive symptom scores at baseline provided the greatest positive predictive value for first-onset depressive disorder. This study provides strong converging evidence that a blunted neural response to rewards precedes adolescent-onset depression and symptom emergence. Blunted neural response may therefore constitute an important target for screening and prevention.

Ensemble Canonical Correlation Prediction of Seasonal Precipitation Over the United States: Raising the Bar for Dynamical Model Forecasts

NASA Technical Reports Server (NTRS)

Lau, William K. M.; Kim, Kyu-Myong; Shen, S. P.

2001-01-01

This paper presents preliminary results of an ensemble canonical correlation (ECC) prediction scheme developed at the Climate and Radiation Branch, NASA/Goddard Space Flight Center for determining the potential predictability of regional precipitation, and for climate downscaling studies. The scheme is tested on seasonal hindcasts of anomalous precipitation over the continental United States using global sea surface temperature (SST) for 1951-2000. To maximize the forecast skill derived from SST, the world ocean is divided into non-overlapping sectors. The canonical SST modes for each sector are used as the predictor for the ensemble hindcasts. Results show that the ECC yields a substantial (10-25%) increase in prediction skills for all the regions of the US in every season compared to traditional CCA prediction schemes. For the boreal winter, the tropical Pacific contributes the largest potential predictability to precipitation in the southwestern and southeastern regions, while the North Pacific and the North Atlantic are responsible to the enhanced forecast skills in the Pacific Northwest, the northern Great Plains and Ohio Valley. Most importantly, the ECC increases skill for summertime precipitation prediction and substantially reduces the spring predictability barrier over all the regions of the US continent. Besides SST, the ECC is designed with the flexibility to include any number of predictor fields, such as soil moisture, snow cover and additional local observations. The enhanced ECC forecast skill provides a new benchmark for evaluating dynamical model forecasts.

Evaluation of the Predictive Value of Intraoperative Changes in Motor-Evoked Potentials of Caudal Cranial Nerves for the Postoperative Functional Outcome.

PubMed

Kullmann, Marcel; Tatagiba, Marcos; Liebsch, Marina; Feigl, Guenther C

2016-11-01

The predictive value of changes in intraoperatively acquired motor-evoked potentials (MEPs) of the lower cranial nerves (LCN) IX-X (glossopharyngeal-vagus nerve) and CN XII (hypoglossal nerve) on operative outcomes was investigated. MEPs of CN IX-X and CN XII were recorded intraoperatively in 63 patients undergoing surgery of the posterior cranial fossa. We correlated the changes of the MEPs with postoperative nerve function. For CN IX-X, we found a correlation between the amplitude of the MEP ratio and uvula deviation (P = 0.028) and the amplitude duration of the MEP and gag reflex function (P = 0.027). Patients with an MEP ratio of the glossopharyngeal-vagus amplitude ≤1.47 μV had a 3.4 times increased risk of developing a uvula deviation. Patients with a final MEP duration of the CN IX-X ≤11.6 milliseconds had a 3.6 times increased risk for their gag reflex to become extinct. Our study greatly contributes to the current knowledge of intraoperative MEPs as a predictor for postoperative cranial nerve function. We were able to extent previous findings on MEP values of the facial nerve on postoperative nerve function to 3 additional cranial nerves. Finding reliable predictors for postoperative nerve function is of great importance to the overall quality of life for a patient undergoing surgery of the posterior cranial fossa. Copyright © 2016 Elsevier Inc. All rights reserved.

Imbalances in serum angiopoietin concentrations are early predictors of septic shock development in patients with post chemotherapy febrile neutropenia

PubMed Central

2010-01-01

Background Febrile neutropenia carries a high risk of sepsis complications, and the identification of biomarkers capable to identify high risk patients is a great challenge. Angiopoietins (Ang -) are cytokines involved in the control microvascular permeability. It is accepted that Ang-1 expression maintains endothelial barrier integrity, and that Ang-2 acts as an antagonizing cytokine with barrier-disrupting functions in inflammatory situations. Ang-2 levels have been recently correlated with sepsis mortality in intensive care units. Methods We prospectively evaluated concentrations of Ang-1 and Ang-2 at different time-points during febrile neutropenia, and explored the diagnostic accuracy of these mediators as potential predictors of poor outcome in this clinical setting before the development of sepsis complications. Results Patients that evolved with septic shock (n = 10) presented higher levels of Ang-2 measured 48 hours after fever onset, and of the Ang-2/Ang-1 ratio at the time of fever onset compared to patients with non-complicated sepsis (n = 31). These levels correlated with sepsis severity scores. Conclusions Our data suggest that imbalances in the concentrations of Ang-1 and Ang-2 are independent and early markers of the risk of developing septic shock and of sepsis mortality in febrile neutropenia, and larger studies are warranted to validate their clinical usefulness. Therapeutic strategies that manipulate this Ang-2/Ang-1 imbalance can potentially offer new and promising treatments for sepsis in febrile neutropenia. PMID:20509945

High-confidence assessment of functional impact of human mitochondrial non-synonymous genome variations by APOGEE.

PubMed

Castellana, Stefano; Fusilli, Caterina; Mazzoccoli, Gianluigi; Biagini, Tommaso; Capocefalo, Daniele; Carella, Massimo; Vescovi, Angelo Luigi; Mazza, Tommaso

2017-06-01

24,189 are all the possible non-synonymous amino acid changes potentially affecting the human mitochondrial DNA. Only a tiny subset was functionally evaluated with certainty so far, while the pathogenicity of the vast majority was only assessed in-silico by software predictors. Since these tools proved to be rather incongruent, we have designed and implemented APOGEE, a machine-learning algorithm that outperforms all existing prediction methods in estimating the harmfulness of mitochondrial non-synonymous genome variations. We provide a detailed description of the underlying algorithm, of the selected and manually curated training and test sets of variants, as well as of its classification ability.

Internal Consistency, Retest Reliability, and their Implications For Personality Scale Validity

PubMed Central

McCrae, Robert R.; Kurtz, John E.; Yamagata, Shinji; Terracciano, Antonio

2010-01-01

We examined data (N = 34,108) on the differential reliability and validity of facet scales from the NEO Inventories. We evaluated the extent to which (a) psychometric properties of facet scales are generalizable across ages, cultures, and methods of measurement; and (b) validity criteria are associated with different forms of reliability. Composite estimates of facet scale stability, heritability, and cross-observer validity were broadly generalizable. Two estimates of retest reliability were independent predictors of the three validity criteria; none of three estimates of internal consistency was. Available evidence suggests the same pattern of results for other personality inventories. Internal consistency of scales can be useful as a check on data quality, but appears to be of limited utility for evaluating the potential validity of developed scales, and it should not be used as a substitute for retest reliability. Further research on the nature and determinants of retest reliability is needed. PMID:20435807

Individual differences in individualism and collectivism predict ratings of virtual cities' liveability and environmental quality.

PubMed

Rubin, Mark; Morrison, Tessa

2014-01-01

The present research investigated individual differences in individualism and collectivism as predictors of people's reactions to cities. Psychology undergraduate students (N = 148) took virtual guided tours around historical cities. They then evaluated the cities' liveability and environmental quality and completed measures of individualism and collectivism. Mediation analyses showed that people who scored high in self-responsibility (individualism) rated the cities as more liveable because they perceived them to be richer and better resourced. In contrast, people who scored high in collectivism rated the cities as having a better environmental quality because they perceived them to (1) provide a greater potential for community and social life and (2) allow people to express themselves. These results indicate that people's evaluations of virtual cities are based on the degree to which certain aspects of the cities are perceived to be consistent with individualist and collectivist values.

Adult day health care evaluation study: methodology and implementation. Adult Day Health Care Evaluation Development Group.

PubMed Central

Hedrick, S C; Rothman, M L; Chapko, M; Inui, T S; Kelly, J R; Ehreth, J

1991-01-01

The Adult Day Health Care Evaluation Study was developed in response to a congressional mandate to study the medical efficacy and cost effectiveness of the Adult Day Health Care (ADHC) effort in the Department of Veterans Affairs (VA). Four sites providing ADHC in VA facilities are participating in an ongoing randomized controlled trial. Three years of developmental work prior to the study addressed methodological issues that were problematic in previous studies. This developmental work resulted in the methodological approaches described here: (1) a patient recruitment process that actively recruits and screens all potential candidates using empirically developed admission criteria based on predictors of nursing home placement in VA; (2) the selection and development of measures of medical efficacy that assess a wide range of patient and caregiver outcomes with sufficient sensitivity to detect small but clinically important changes; and (3) methods for detailed, accurate, and efficient measurement of utilization and costs of health care within and outside VA. These approaches may be helpful to other researchers and may advance the methodological sophistication of long-term care program evaluation. PMID:1991678

Physically demanding situations as predictors of disability pensioning with soft tissue rheumatism among persons 30-39 years old in Norway, 1981-90.

PubMed

Holte, Hilde H; Tambs, Kristian; Bjerkedal, Tor

2002-08-01

Physically demanding work is a predictor of disability pensioning with musculoskeletal diseases. Being a parent is probably also physically demanding. Having manual work and being a parent will be analyzed as possible predictors of becoming a disability pensioner with soft tissue rheumatism (DPSTR) after controlling for level of education, employment, number of hours worked, income, age, sex, and marital status. In this prospective study based on census data of persons 30-39 years old in 1980, predictors of becoming DPSTR during the followup period 1981-90 were identified by logistic regression analysis. Manual work was a predictor for becoming DPSTR for both men and women, while being a parent was neither a risk factor nor a protective factor for becoming DPSTR. Being employed was a predictor of becoming DPSTR for married women, but a protective factor for unmarried women and all men. Low level of education and being married or divorced were predictors of becoming DPSTR for both men and women. Working part time and having low income were predictors of becoming DPSTR among men. Physically demanding employment, but not a physically demanding private life, predicts becoming DPSTR. This may reflect that factors concerning a patient's private life are not taken into account when evaluating whether or not a disability pension should be granted, at least not for patients with uncertain medical conditions.

Development of Social Anxiety: Social Interaction Predictors of Implicit and Explicit Fear of Negative Evaluation

PubMed Central

Allen, Joseph P.

2012-01-01

Little is known about how to predict which individuals with known temperament vulnerabilities will go on to develop social anxiety problems. Adolescents (N = 185) were followed from age 13 to 18 to evaluate psychosocial, prospective predictors of social anxiety symptoms and fears of negative evaluation (FNE), after accounting for pre-existing social withdrawal symptoms. Results from structural equation modeling suggest that lack of perceived social acceptance predicts subsequent explicit social anxiety and FNE, whereas the emotional intensity of close peer interactions predicts subsequent implicit FNE. Results are discussed in terms of the importance of peer interaction in the development of social anxiety, and the value of measuring both implicit and explicit FNE. PMID:17171538

Academic and Demographic Predictors of NCLEX-RN Pass Rates in First- and Second-Degree Accelerated BSN Programs.

PubMed

Kaddoura, Mahmoud A; Flint, Elizabeth P; Van Dyke, Olga; Yang, Qing; Chiang, Li-Chi

Relatively few studies have addressed predictors of first-attempt outcomes (pass-fail) on the National Council Licensure Examination-Registered Nurses (NCLEX-RN) for accelerated BSN programs. The purpose of this study was to compare potential predictors of NCLEX outcomes in graduates of first-degree accelerated (FDA; n=62) and second-degree accelerated (SDA; n=173) BSN programs sharing a common nursing curriculum. In this retrospective study, bivariate analyses and multiple logistic regression assessed significance of selected demographic and academic characteristics as predictors of NCLEX-RN outcomes. FDA graduates were more likely than SDA graduates to fail the NCLEX-RN (P=.0013). FDA graduates were more likely to speak English as a second or additional language (P<.0001), have lower end-of-program GPA and HESI Exit Exam scores (both P<.0001), and have a higher proportions of grades ≤ C (P=.0023). All four variables were significant predictors of NCLEX-RN outcomes within both FDA and SDA programs. The only significant predictors in adjusted logistic regression of NCLEX-RN outcome for the pooled FDA+SDA graduate sample were proportion of grades ≤ C (a predictor of NCLEX-RN failure) and HESI Exit Exam score (a predictor of passing NCLEX-RN). Grades of C or lower on any course may indicate inadequate mastery of critical NCLEX-RN content and increased risk of NCLEX-RN failure. Copyright © 2016 Elsevier Inc. All rights reserved.

Clinical significance of preoperative carcinoembryonic antigen level in patients with clinical stage IA non-small cell lung cancer.

PubMed

Maeda, Ryo; Suda, Takashi; Hachimaru, Ayumi; Tochii, Daisuke; Tochii, Sachiko; Takagi, Yasushi

2017-01-01

The objective of this study was to assess the preoperative serum carcinoembryonic antigen (CEA) level in patients with clinical stage IA non-small cell lung cancer (NSCLC) and to evaluate its clinical significance. Between January 2005 and December 2014, a total of 378 patients with clinical stage IA NSCLC underwent complete resection with systematic node dissection. The survival rate was estimated starting from the date of surgery to the date of either death or the last follow-up by the Kaplan-Meier method. Univariate analyses by log-rank tests were used to determine prognostic factors. Cox proportional hazards ratios were used to identify independent predictors of poor prognosis. Clinicopathological predictors of lymph node metastases were evaluated by logistic regression analyses. The 5-year survival rate of patients with an elevated preoperative serum CEA level was significantly lower than that of patients with a normal CEA level (75.5% vs. 87.7%; P=0.02). However, multivariate analysis did not show the preoperative serum CEA level to be an independent predictor of poor prognosis. Postoperative pathological factors, including lymphatic permeation, visceral pleural invasion, and lymph node metastases, tended to be positive in patients with an elevated preoperative serum CEA level. In addition, the CEA level was a statistically significant independent clinical predictor of lymph node metastases. The preoperative serum CEA level was not an independent predictor of poor prognosis in patients with pathological stage IA NSCLC but was an important clinical predictor of tumor invasiveness and lymph node metastases in patients with clinical stage IA NSCLC. Therefore, measurement of the preoperative serum CEA level should be considered even for patients with early-stage NSCLC.

Symptomatic spinal metastasis: A systematic literature review of the preoperative prognostic factors for survival, neurological, functional and quality of life in surgically treated patients and methodological recommendations for prognostic studies

PubMed Central

Nater, Anick; Martin, Allan R.; Sahgal, Arjun; Choi, David

2017-01-01

Purpose While several clinical prediction rules (CPRs) of survival exist for patients with symptomatic spinal metastasis (SSM), these have variable prognostic ability and there is no recognized CPR for health related quality of life (HRQoL). We undertook a critical appraisal of the literature to identify key preoperative prognostic factors of clinical outcomes in patients with SSM who were treated surgically. The results of this study could be used to modify existing or develop new CPRs. Methods Seven electronic databases were searched (1990–2015), without language restriction, to identify studies that performed multivariate analysis of preoperative predictors of survival, neurological, functional and HRQoL outcomes in surgical patients with SSM. Individual studies were assessed for class of evidence. The strength of the overall body of evidence was evaluated using GRADE for each predictor. Results Among 4,818 unique citations, 17 were included; all were in English, rated Class III and focused on survival, revealing a total of 46 predictors. The strength of the overall body of evidence was very low for 39 and low for 7 predictors. Due to considerable heterogeneity in patient samples and prognostic factors investigated as well as several methodological issues, our results had a moderately high risk of bias and were difficult to interpret. Conclusions The quality of evidence for predictors of survival was, at best, low. We failed to identify studies that evaluated preoperative prognostic factors for neurological, functional, or HRQoL outcomes in surgical patients with SSM. We formulated methodological recommendations for prognostic studies to promote acquiring high-quality evidence to better estimate predictor effect sizes to improve patient education, surgical decision-making and development of CPRs. PMID:28225772

Predictors of health-related and global quality of life among young adults with difficult-to-treat epilepsy and mild intellectual disability.

PubMed

Endermann, Michael

2013-02-01

This study evaluated predictors of health-related quality of life (HRQOL) and global quality of life (QOL) among young adults with difficult-to-treat epilepsy and mild intellectual disability. One hundred and forty-two persons with epilepsy and cognitive problems were routinely screened on HRQOL, global QOL, and psychological distress four weeks after admission to a time-limited residential rehabilitation unit. The PESOS scales (PE = PErformance, SO = SOciodemographic aspects, S = Subjective evaluation/estimation) on epilepsy-specific problems were administered as measures of HRQOL; a questionnaire on life satisfaction and an item on overall QOL were used as measures of global QOL. Psychological distress was captured with the Symptom Checklist 90-R. Further data were gained from medical files. Quality-of- life predictors were identified using univariate methods and stepwise regression analyses. Psychological distress was the only predictor of all HRQOL and global QOL parameters. Seizure frequency was a predictor of most HRQOL variables. Other epilepsy variables affected only some HRQOL variables but were not associated with global QOL. Health-related quality of life did not seem to be strongly impaired. Only low correlations were found between HRQOL and global QOL. The notion of psychological distress as the most influential predictor of all QOL measures is in line with most findings on QOL in epilepsy. Former observations of weak associations between HRQOL and global QOL among patients with epilepsy and mild intellectual disability are supported. Thus, interventions to reduce psychological distress, besides epilepsy treatment, seem to be of great importance to improve QOL. Copyright © 2012 Elsevier Inc. All rights reserved.

Failure rates of mini-implants placed in the infrazygomatic region.

PubMed

Uribe, Flavio; Mehr, Rana; Mathur, Ajay; Janakiraman, Nandakumar; Allareddy, Veerasathpurush

2015-01-01

The purpose of this pilot study was to evaluate the failure rates of mini-implants placed in the infrazygomatic region and to evaluate factors that affect their stability. A retrospective cohort study of 30 consecutive patients (55 mini-implants) who had infrazygomatic mini-implants at a University Clinic were evaluated for failure rates. Patient, mini-implant, orthodontic, surgical, and mini-implant maintenance factors were evaluated by univariate logistic regression models for association to failure rates. A 21.8 % failure rate of mini-implants placed in the infazygomatic region was observed. None of the predictor variables were significantly associated with higher or lower odds for failed implants. Failure rates for infrazygomatic mini-implants were slightly higher than those reported in other maxilla-mandibular osseous locations. No predictor variables were found to be associated to the failure rates.

Chemotherapy-Induced Fatigue Correlates With Higher Fatigue Scores Before Treatment.

PubMed

Araújo, José Klerton Luz; Giglio, Adriana Del; Munhoz, Bruna Antenusse; Fonseca, Fernando Luiz Affonso; Cruz, Felipe Melo; Giglio, Auro Del

2017-06-01

Cancer chemotherapy can induce fatigue in about 20% to 30% of patients. So far, there is very little information as to the predictors of chemotherapy-induced fatigue (CIF). We evaluated potential predictors of CIF in a sample of patients with cancer with several types of solid tumors scheduled to receive chemotherapy according to institutional protocols. Before their first and second chemotherapy cycles, patients answered to the Brief Fatigue Inventory (BFI), Chalder, Mini Nutritional Assessment (MNA), Stress thermometer, and HADS questionnaires as well as provided blood samples for inflammatory markers. We evaluated 52 patients, 37 (71%) were female and mean age was 53 years. The most common tumors were breast cancer 21 (40%) and gastrointestinal tumors 12 (23%). Although 14 (25.2%) patients had an increase in their fatigue BFI scores equal or above 3 points from baseline, we observed no significant overall differences between BFI scores before and after chemotherapy. The only 2 factors associated with an increase of 3 points in the BFI scores after chemotherapy were race and higher baseline BFI levels. By multivariate analysis, overall BFI and Chalder scores after chemotherapy also correlated significantly with their respective baseline scores before treatment. HADS scores before treatment correlated with overall BFI scores postchemotherapy, whereas MNA scores before chemotherapy and female sex correlated with higher Chalder scores after treatment. We conclude that fatigue induced by chemotherapy is common and consistently associated with higher fatigue scores before treatment. Screening for fatigue before chemotherapy may help to identify patients who are prone to develop CIF.

Evaluating predictors of local dabbling duck abundance during migration: Managing the spectrum of conditions faced by migrants

USGS Publications Warehouse

Aagaard, Kevin; Crimmins, Shawn M.; Thogmartin, Wayne E.; Tavernia, Brian G.; Lyons, James E.

2015-01-01

The development of robust modelling techniques to derive inferences from large-scale migratory bird monitoring data at appropriate scales has direct relevance to their management. The Integrated Waterbird Management and Monitoring programme (IWMM) represents one of the few attempts to monitor migrating waterbirds across entire flyways using targeted local surveys. This dataset included 13,208,785 waterfowl (eight Anas species) counted during 28,000 surveys at nearly 1,000 locations across the eastern United States between autumn 2010 and spring 2013 and was used to evaluate potential predictors of waterfowl abundance at the wetland scale. Mixed-effects, log-linear models of local abundance were built for the Atlantic and Mississippi flyways during spring and autumn migration to identify factors relating to habitat structure, forage availability, and migration timing that influence target dabbling duck species abundance. Results indicated that migrating dabbling ducks responded differently to environmental factors. While the factors identified demonstrated a high degree of importance, they were inconsistent across species, flyways and seasons. Furthermore, the direction and magnitude of the importance of each covariate group considered here varied across species. Given our results, actionable policy recommendations are likely to be most effective if they consider species-level variation within targeted taxonomic units and across management areas. The methods implemented here can easily be applied to other contexts, and serve as a novel investigation into local-level population patterns using data from broad-scale monitoring programmes.

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

PubMed Central

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

2014-01-01

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

Self-reported health and cortisol awakening response in parents of people with asperger syndrome: the role of trait anger and anxiety, coping and burden.

PubMed

Ruiz-Robledillo, N; Moya-Albiol, L

2013-11-01

Caring for offspring with autism spectrum disorders entails high levels of stress for a long period of time and is associated with several types of health complaints. Few studies have focused on specific effects of particular disorders in the spectrum. This study was carried out with the aim of evaluating the global health of parents of people with Asperger syndrome (N = 53) compared to those of typically developing children (N = 54) through self-reported measures (medication consumption and somatic symptoms) and biological markers (cortisol awakening response [CAR]). Additionally, we analysed various psychological variables as potential predictors of caregiver health. We found that caregivers take more medication and have worse self-reported health than controls, but there were no significant differences in CAR between the groups. However, after controlling for negative affect, differences between groups in CAR reached significance. With regards to predictor variables, anxiety trait, cognitive-coping style, burden and anger temperament were significantly associated with caregiver's self-reported health. These findings underline the need to develop interventions that foster improvements in the health of caregivers, reduce their burden and enhance their quality of life.

Measuring the impact of an interprofessional multimedia learning resource on Japanese nurses and nursing students using the Theory of Planned Behavior Medication Safety Questionnaire.

PubMed

Omura, Mieko; Levett-Jones, Tracy; Stone, Teresa Elizabeth; Maguire, Jane; Lapkin, Samuel

2015-12-01

Interprofessional communication and teamwork are essential for medication safety; however, limited educational opportunities for health professionals and students to develop these skills exist in Japan. This study evaluated the impact of an interprofessional multimedia learning resource on registered nurses' and nursing students' intention to practice in a manner promoting medication safety. Using a quasi-experimental design, Japanese registered nurses and nursing students (n = 203) were allocated to an experimental (n = 109) or control group (n = 94). Behavioral intentions of medication safety and the predictor variables of attitudes, perceived behavioral control, and subjective norms were measured using a Japanese version of the Theory of Planned Behavior Medication Safety Questionnaire. Registered nurses in the experimental group demonstrated a greater intention to collaborate and practice in a manner that enhanced medication safety, evidenced by higher scores than the control group on all predictor variables. The results demonstrate the potential for interprofessional multimedia learning resources to positively impact the behaviors of Japanese registered nurses in relation to safe medication practices. Further research in other contexts and with other cohorts is warranted. © 2015 Wiley Publishing Asia Pty Ltd.

Computer-Assisted Sperm Analysis (CASA) parameters and their evolution during preparation as predictors of pregnancy in intrauterine insemination with frozen-thawed donor semen cycles.

PubMed

Fréour, Thomas; Jean, Miguel; Mirallié, Sophie; Dubourdieu, Sophie; Barrière, Paul

2010-04-01

To study the potential of CASA parameters in frozen-thawed donor semen before and after preparation on silica gradient as predictors of pregnancy in IUI with donor semen cycles. CASA parameters were measured in thawed donor semen before and after preparation on a silica gradient in 132 couples undergoing 168 IUI cycles with donor semen. The evolution of these parameters throughout this process was calculated. The relationship with cycle outcome was then studied. Clinical pregnancy rate was 18.4% per cycle. CASA parameters on donor semen before or after preparation were not significantly different between pregnancy and failure groups. However, amplitude of lateral head displacement (ALH) of spermatozoa improved in all cycles where pregnancy occurred, thus predicting pregnancy with a sensitivity of 100% and a specificity of 20%. Even if CASA parameters do not seem to predict pregnancy in IUI with donor semen cycles, their evolution during the preparation process should be evaluated, especially for ALH. However, the link between ALH improvement during preparation process and pregnancy remains to be explored. Copyright (c) 2009 Elsevier Ireland Ltd. All rights reserved.

Predicting Node Degree Centrality with the Node Prominence Profile

PubMed Central

Yang, Yang; Dong, Yuxiao; Chawla, Nitesh V.

2014-01-01

Centrality of a node measures its relative importance within a network. There are a number of applications of centrality, including inferring the influence or success of an individual in a social network, and the resulting social network dynamics. While we can compute the centrality of any node in a given network snapshot, a number of applications are also interested in knowing the potential importance of an individual in the future. However, current centrality is not necessarily an effective predictor of future centrality. While there are different measures of centrality, we focus on degree centrality in this paper. We develop a method that reconciles preferential attachment and triadic closure to capture a node's prominence profile. We show that the proposed node prominence profile method is an effective predictor of degree centrality. Notably, our analysis reveals that individuals in the early stage of evolution display a distinctive and robust signature in degree centrality trend, adequately predicted by their prominence profile. We evaluate our work across four real-world social networks. Our findings have important implications for the applications that require prediction of a node's future degree centrality, as well as the study of social network dynamics. PMID:25429797

Generalized SAMPLE SIZE Determination Formulas for Investigating Contextual Effects by a Three-Level Random Intercept Model.

PubMed

Usami, Satoshi

2017-03-01

Behavioral and psychological researchers have shown strong interests in investigating contextual effects (i.e., the influences of combinations of individual- and group-level predictors on individual-level outcomes). The present research provides generalized formulas for determining the sample size needed in investigating contextual effects according to the desired level of statistical power as well as width of confidence interval. These formulas are derived within a three-level random intercept model that includes one predictor/contextual variable at each level to simultaneously cover various kinds of contextual effects that researchers can show interest. The relative influences of indices included in the formulas on the standard errors of contextual effects estimates are investigated with the aim of further simplifying sample size determination procedures. In addition, simulation studies are performed to investigate finite sample behavior of calculated statistical power, showing that estimated sample sizes based on derived formulas can be both positively and negatively biased due to complex effects of unreliability of contextual variables, multicollinearity, and violation of assumption regarding the known variances. Thus, it is advisable to compare estimated sample sizes under various specifications of indices and to evaluate its potential bias, as illustrated in the example.

Preoperative assessment of microvascular invasion in hepatocellular carcinoma

NASA Astrophysics Data System (ADS)

Chakraborty, Jayasree; Zheng, Jian; Gönen, Mithat; Jarnagin, William R.; DeMatteo, Ronald P.; Do, Richard K. G.; Simpson, Amber L.

2017-03-01

Hepatocellular carcinoma (HCC) is the most common liver cancer and the third leading cause of cancer-related death worldwide.1 Resection or liver transplantation may be curative in patients with early-stage HCC but early recurrence is common.2, 3 Microvascular invasion (MVI) is one of the most important predictors of early recurrence.3 The identification of MVI prior to surgery would optimally select patients for potentially curative resection or liver transplant. However, MVI can only be diagnosed by microscopic assessment of the resected tumor. The aim of the present study is to apply CT-based texture analysis to identify pre-operative imaging predictors of MVI in patients with HCC. Texture features are derived from CT and analyzed individually as well as in combination, to evaluate their ability to predict MVI. A two-stage classification is employed: HCC tumors are automatically categorized into uniform or heterogenous groups followed by classification into the presence or absence of MVI. We achieve an area under the receiver operating characteristic curve (AUC) of 0.76 and accuracy of 76.7% for uniform lesions and AUC of 0.79 and accuracy of 74.06% for heterogeneous tumors. These results suggest that MVI can be accurately and objectively predicted from preoperative CT scans.

Predictors of specific phobia in children with Williams syndrome.

PubMed

Pitts, C H; Klein-Tasman, B P; Osborne, J W; Mervis, C B

2016-10-01

Specific phobia (SP) is the most common anxiety disorder among children with Williams syndrome (WS); prevalence rates derived from Diagnostic and Statistical Manual of Mental Disorders-based diagnostic interviews range from 37% to 56%. We evaluated the effects of gender, age, intellectual abilities and/or behaviour regulation difficulties on the likelihood that a child with WS would be diagnosed with SP. A total of 194 6-17 year-olds with WS were evaluated. To best characterise the relations between the predictors and the probability of a SP diagnosis, we explored not only possible linear effects but also curvilinear effects. No gender differences were detected. As age increased, the likelihood of receiving a SP diagnosis decreased. As IQ increased, the probability of receiving a SP diagnosis also decreased. Behaviour regulation difficulties were the strongest predictor of a positive diagnosis. A quadratic relation was detected: The probability of receiving a SP diagnosis gradually rose as behaviour regulation difficulties increased. However, once behaviour regulation difficulties approached the clinical range, the probability of receiving a SP diagnosis asymptoted at a high level. Children with behaviour regulation difficulties in or just below the clinical range were at the greatest risk of developing SP. These findings highlight the value of large samples and the importance of evaluating for nonlinear effects to provide accurate model specification when characterising relations among a dependent variable and possible predictors. © 2016 MENCAP and International Association of the Scientific Study of Intellectual and Developmental Disabilities and John Wiley & Sons Ltd.

Predictors and risk factors for the intestinal shedding of Escherichia coli O157 among working donkeys (Equus asinus) in Nigeria

PubMed Central

Jedial, Jesse T.; Shittu, Aminu; Tambuwal, Faruk M.; Abubakar, Mikail B.; Garba, Muhammed K.; Kwaga, Jacob P.; Fasina, Folorunso O.

2015-01-01

Objectives Escherichia coli are an important group of bacteria in the normal gastrointestinal system but can sometimes cause infections in domestic animals and man. Donkeys are routinely used as multipurpose animal but details of burdens of potentially infectious bacteria associated with it are limited. The prevalence and associations between intestinal shedding of E. coli O157 and animal characteristics and management factors were studied among 240 randomly selected working donkeys in north-western Nigeria. Design Four local government areas, of Sokoto State in north-western Nigeria were recruited in this study. A multistage randomised cluster design was used to select subjects and donkey owners within selected zones. Confirmation of infection was based on bacterial culture, isolation and biochemical test for E. coli O157 from faecal samples. Results Of the total bacteria isolated, 203 of the 329 (61.70 per cent) were E. coli, 76 of which was E. coli serotype O157. A multivariable logistic regression model was used to examine the relation between intestinal shedding of E. coli O157 and selected variables. The analysis yielded five potential predictors of shedding: soft faeces in donkeys, Akaza and Fari ecotypes of donkey were positive predictors while maize straw as feed and sampling during the cold dry period were negative predictors. Conclusions This study concludes that controlling intestinal shedding of E. coli O157 among working donkeys in Nigeria is possible using the identified predictors in planning appropriate interventions to reduced human risk of infection. PMID:26392892

Predictors of Study Attrition in a Randomized Controlled Trial Evaluating a Perinatal Home-Visiting Program with Mothers with Psychosocial Vulnerabilities

PubMed Central

Foulon, Stéphanie; Greacen, Tim; Pasquet, Blandine; Dugravier, Romain; Saïas, Thomas; Guedeney, Nicole; Guedeney, Antoine; Tubach, Florence

2015-01-01

Objective Randomised controlled trials evaluating perinatal home-visiting programs are frequently confronted with the problem of high attrition rates. The aim of the present study is to identify predictors of study attrition in a trial evaluating a perinatal home-visiting program in France. Materials and Methods CAPEDP is a French randomized trial comparing a perinatal home-visiting program using psychologists versus usual care (N = 440). The first assessment was at inclusion into the trial at the 27th week of pregnancy and the final assessment when the child reached the age of two. Attrition rates were calculated at 3 and 24 months postpartum. Stepwise logistic regression was used to identify predictors of early (between inclusion and 3 months postpartum) and later (between 3 and 24 months postpartum) attrition among social, psychological and parenting factors. Results Attrition rates were 17% and 63% at 3 and 24 months respectively. At 24 months, there was significantly more attrition in the control arm (70.6%) compared to the intervention arm (55.2%). Five independent predictors of early attrition were identified: having already had an abortion; having greater attachment insecurity as measured with the Vulnerable Attachment Style Questionnaire (VASQ); having lower global severity of psychiatric symptoms as assessed with the Symptom Check-List (SCL-90) at inclusion, being neither currently employed nor studying; and declaring no tobacco consumption during pregnancy. Being randomized into the control arm, having undergone early parental loss before age 11 and having lower global severity of psychiatric symptoms (SCL-90) at 3 months postpartum were the only variables associated with later attrition. Conclusion This study provides key information for identifying mothers who may require specific support to avoid study attrition in trials evaluating a home-visiting program. PMID:26554839

Distal and proximal predictors of snacking at work: A daily-survey study.

PubMed

Sonnentag, Sabine; Pundt, Alexander; Venz, Laura

2017-02-01

This study aimed at examining predictors of healthy and unhealthy snacking at work. As proximal predictors we looked at food-choice motives (health motive, affect-regulation motive); as distal predictors we included organizational eating climate, emotional eating, and self-control demands at work. We collected daily survey data from 247 employees, over a period of 2 workweeks. Multilevel structural equation modeling showed that organizational eating climate predicted health as food-choice motive, whereas emotional eating and self-control demands predicted affect regulation as food-choice motive. The health motive, in turn, predicted consuming more fruits and more cereal bars and less sweet snacks; the affect-regulation motive predicted consuming more sweet snacks. Findings highlight the importance of a health-promoting eating climate within the organization and point to the potential harm of high self-control demands at work. (PsycINFO Database Record (c) 2017 APA, all rights reserved).

Exploring Predictors of Information Use to Self-Manage Blood Pressure in Midwestern African American Women with Hypertension.

PubMed

Jones, Lenette M; Veinot, Tiffany; Pressler, Susan J; Coleman-Burns, Patricia; McCall, Alecia

2018-06-01

Self-management of hypertension requires patients to find, understand, and use information to lower their blood pressure. Little is known about information use among African American women with hypertension, therefore the purpose of this study was to examine predictors of self-reported information use to self-manage blood pressure. Ninety-four Midwestern African American women (mean age = 59) completed questionnaires about information behaviors (seeking, sharing, use) and personal beliefs (attitude, social norms) related to self-management of blood pressure. Linear regression was used to identify significant predictors of information use. The total variance explained by the model was 36%, F(7, 79) = 6.29, p < .001. Information sharing was the only significant predictor (beta = .46, p < .001). These results provide evidence that information sharing is a potential health behavior to support intervention strategies for African American women with hypertension.

Memory plasticity in older adults: Cognitive predictors of training response and maintenance following learning of number-consonant mnemonic.

PubMed

Sandberg, Petra; Rönnlund, Michael; Derwinger-Hallberg, Anna; Stigsdotter Neely, Anna

2016-10-01

The study investigated the relationship between cognitive factors and gains in number recall following training in a number-consonant mnemonic in a sample of 112 older adults (M = 70.9 years). The cognitive factors examined included baseline episodic memory, working memory, processing speed, and verbal knowledge. In addition, predictors of maintenance of gains to a follow-up assessment, eight months later, were examined. Whereas working memory was a prominent predictor of baseline recall, the magnitude of gains in recall from pre- to post-test assessments were predicted by baseline episodic memory, processing speed, and verbal knowledge. Verbal knowledge was the only significant predictor of maintenance. Collectively, the results indicate the need to consider multiple factors to account for individual differences in memory plasticity. The potential contribution of additional factors to individual differences in memory plasticity is discussed.

Childhood Predictors of Teen Dating Violence Victimization

PubMed Central

Maas, Carl D.; Fleming, Charles B.; Herrenkohl, Todd I.; Catalano, Richard F.

2009-01-01

Most research on predictors of teen dating violence (TDV) has used cross-sectional data, which weakens predictive modeling and hypothesis testing analyses. This study uses prospective and retrospective longitudinal data on a community sample to examine previously identified predictors of TDV victimization and pathways from childhood risk and protection to TDV victimization. Data are from 941 participants in the Raising Healthy Children project. Bivariate analyses found associations in the expected direction between potential predictors and TDV victimization. For girls, a multivariate path model indicated that higher levels of bonding to parents and social skills protected against TDV victimizations, partly by reducing early adolescent alcohol use. While externalizing and internalizing behaviors in early adolescence were predicted by childhood risk and protective factors for girls, neither uniquely predicted TDV victimization. For boys, there was an indirect path from childhood bonding to parents to TDV victimization through early adolescent externalizing behavior. PMID:20514813

The role of HCG increment in the 48h prior to methotrexate treatment as a predictor for treatment success.

PubMed

Cohen, Aviad; Almog, Benny; Cohen, Yoni; Bibi, Guy; Rimon, Eli; Levin, Ishai

2017-04-01

To evaluate the role HCG change in the 48h prior to methotrexate treatment as a predictor for treatment success. Medical records of all women who were diagnosed with ectopic pregnancy between January 2001 and June 2013 were reviewed. Four hundred and nine patients received methotrexate due to ectopic pregnancy. The "single dose" methotrexate protocol with 50mg/m 2 was administered to patients with progressing ectopic pregnancy. HCG levels in days 1, 4 and 7 were used to evaluate methotrexate treatment success. The percentage of HCG change in the 48h prior to methotrexate treatment was compared between patients who were successfully treated and those who failed treatment with methotrexate. Single dose methotrexate was successful in 309 patients (75.4%, success group). The medians of HCG change in the 48h prior to methotrexate administration were significantly higher in the "failure group" (21% vs. 4%, p<0.01). In a logistic regression analysis, the of HCG percent increment prior to methotrexate administration was shown to be an independent predictor for treatment outcome. Receiver operator characteristic curve for HCG percent change was 0.751, at a cutoff value of HCG increment <12% the positive predictive value for treatment success reached 86%. Percentage of HCG increment in the 48h prior to methotrexate administration is an independent predictor for methotrexate treatment success. HCG increment <12% prior to methotrexate treatment is a good predictor for treatment success. Copyright © 2017 Elsevier B.V. All rights reserved.

Predictors of mother and child DNA yields in buccal cell samples collected in pediatric cancer epidemiologic studies: a report from the Children’s Oncology group

PubMed Central

2013-01-01

Background Collection of high-quality DNA is essential for molecular epidemiology studies. Methods have been evaluated for optimal DNA collection in studies of adults; however, DNA collection in young children poses additional challenges. Here, we have evaluated predictors of DNA quantity in buccal cells collected for population-based studies of infant leukemia (N = 489 mothers and 392 children) and hepatoblastoma (HB; N = 446 mothers and 412 children) conducted through the Children’s Oncology Group. DNA samples were collected by mail using mouthwash (for mothers and some children) and buccal brush (for children) collection kits and quantified using quantitative real-time PCR. Multivariable linear regression models were used to identify predictors of DNA yield. Results Median DNA yield was higher for mothers in both studies compared with their children (14 μg vs. <1 μg). Significant predictors of DNA yield in children included case–control status (β = −0.69, 50% reduction, P = 0.01 for case vs. control children), brush collection type, and season of sample collection. Demographic factors were not strong predictors of DNA yield in mothers or children in this analysis. Conclusions The association with seasonality suggests that conditions during transport may influence DNA yield. The low yields observed in most children in these studies highlight the importance of developing alternative methods for DNA collection in younger age groups. PMID:23937514

Incidence and Predictors of Acute Psychological Distress and Dissociation after Motor Vehicle Collision: a Cross-Sectional Study

PubMed Central

Lewis, Gemma C.; Platts-Mills, Timothy F.; Liberzon, Israel; Bair, Eric; Swor, Robert; Peak, David; Jones, Jeffrey; Rathlev, Niels; Lee, David; Domeier, Robert; Hendry, Phyllis; McLean, Samuel A.

2014-01-01

Objective The authors examined the incidence and predictors of peritraumatic distress and dissociation after one of the most common forms of civilian trauma exposure: motor vehicle collision (MVC). Methods In this study, patients presenting to the emergency department after MVC who were without serious injury and discharged to home after evaluation (n = 935) completed an emergency department interview evaluating sociodemographic, collision-related, and psychological characteristics. Results The incidence and predictors of distress (Peritraumatic Distress Inventory score ≥ 23) and dissociation (Michigan Critical Events Perception Scale score >3) were assessed. Distress was present in 355 of 935 patients (38%) and dissociation was present in 260 of 942 patients (28%). These outcomes showed only moderate correlation (r = 0.45), and had both shared and distinct predictors. Female gender, anxiety symptoms prior to MVC, and vehicle damage severity predicted both distress and dissociation. Higher socioeconomic status (higher education, higher income, full time employment) had a protective effect against distress but not dissociative symptoms. Better physical health and worse overall mental health were associated with increased risk of dissociation, but not distress. Distress but not dissociation was associated with lower patient confidence in recovery and a longer expected duration of recovery. Conclusion There are unique predictors of peritraumatic distress and dissociation. Further work is needed to better understand the neurobiology of peritraumatic distress and dissociation, and the influence of these peritraumatic outcomes on persistent psychological sequelae. PMID:24983475

Evaluation of the Freshman Class To Determine Predictors for Academic Success at Panhandle State University. Emergence of Higher Education in America Seminar.

ERIC Educational Resources Information Center

Manning, Wayne

A study was done at Panhandle State University (Oklahoma) examining whether high school grade point averages or ACT (American College Testing) scores provided a better predictor of freshman academic success. Study procedures included a review of the literature, meetings with the academic vice president and five deans, as well as examination of…

Predictors of Change Following Cognitive-Behavioral Treatment of Children with Anxiety Problems: A Preliminary Investigation on Negative Automatic Thoughts and Anxiety Control

ERIC Educational Resources Information Center

Muris, Peter; Mayer, Birgit; den Adel, Madelon; Roos, Tamara; van Wamelen, Julie

2009-01-01

The purpose of the present study was to evaluate negative automatic thoughts and anxiety control as predictors of change produced by cognitive-behavioral treatment of youths with anxiety disorders. Forty-five high-anxious children aged between 9 and 12 years who were selected from the primary school population, received a standardized CBT…

Non-invasive prediction of oesophageal varices in cirrhosis

PubMed Central

Sen, Sambit; Griffiths, William JH

2008-01-01

Non-invasive predictors of varices in cirrhosis would reduce the need for screening endoscopies. Platelet count and spleen size have been shown to be useful parameters, in mixed groups of cirrhotics with different aetiologies. We evaluated this in two homogeneous groups with cirrhosis due to hepatitis C and alcohol. Non-invasive predictors appear promising in the former group, but less so in the latter group. PMID:18416480

Predictors of adaptation in Icelandic and American families of young children with chronic asthma.

PubMed

Svavarsdottir, Erla Kolbrun; Rayens, Mary Kay; McCubbin, Marilyn

2005-01-01

The purposes of this international study were to determine the predictors of adaptation and to assess potential moderating effects of parents' sense of coherence and family hardiness on the relationship of severity of illness of a child with asthma and family and caregiving demands as predictors of family adaptation. For both parents, sense of coherence and family hardiness predicted family adaptation. Icelandic mothers perceived their family's adaptation more favorably than did their American counterparts. For the fathers, family demands predicted adaptation. Sense of coherence moderated the effect of family demands on adaptation for both parents. These findings underscore the importance of strengthening individual and family resiliency as a mechanism for improving family adaptation.

Response to Early AED Therapy and Its Prognostic Implications

PubMed Central

French, Jacqueline A.

2002-01-01

Determining the prognosis of patients when they first present with epilepsy is a difficult task. Several clinical studies have shed light on this very important topic. Potential predictors of the refractory state, including seizure etiology, duration of epilepsy before treatment, and epilepsy type, have not been successful indicators of long-term outcome. One predictor of the refractory state appears to be early response to AED therapy. Inadequate seizure control after initial treatment is a poor prognostic sign. Recent research into genetic causes of the refractory state has included investigation of the multiple drug resistance gene, and polymorphisms at drug targets. More work is needed to determine the causes and predictors of drug resistance. PMID:15309146

Silent strain of caregiving: exploring the best predictors of distress in family carers of geriatric patients.

PubMed

Bień-Barkowska, Katarzyna; Doroszkiewicz, Halina; Bień, Barbara

2017-01-01

The aim of this article was to identify the best predictors of distress suffered by family carers (FCs) of geriatric patients. A cross-sectional study of 100 FC-geriatric patient dyads was conducted. The negative impact of care (NIoC) subscale of the COPE index was dichotomized to identify lower stress (score of ≤15 on the scale) and higher stress (score of ≥16 on the scale) exerted on FCs by the process of providing care. The set of explanatory variables comprised a wide range of sociodemographic and care-related attributes, including patient-related results from comprehensive geriatric assessments and disease profiles. The best combination of explanatory variables that provided the highest predictive power for distress among FCs in the multiple logistic regression (LR) model was determined according to statistical information criteria. The statistical robustness of the observed relationships and the discriminative power of the model were verified with the cross-validation method. The mean age of FCs was 57.2 (±10.6) years, whereas that of geriatric patients was 81.7 (±6.4) years. Despite the broad initial set of potential explanatory variables, only five predictors were jointly selected for the best statistical model. A higher level of distress was independently predicted by lower self-evaluation of health; worse self-appraisal of coping well as a caregiver; lower sense of general support; more hours of care per week; and the motor retardation of the cared-for person measured with the speed of the Timed Up and Go (TUG) test. Worse performance on the TUG test was only the patient-related predictor of distress among the variables examined as contributors to the higher NIoC. Enhancing the mobility of geriatric patients through suitably tailored kinesitherapeutic methods during their hospital stay may mitigate the burden endured by FCs.

Liver Enlargement Predicts Obstructive Sleep Apnea–Hypopnea Syndrome in Morbidly Obese Women

PubMed Central

Scartabelli, Giovanna; Querci, Giorgia; Marconi, Letizia; Ceccarini, Giovanni; Piaggi, Paolo; Fierabracci, Paola; Salvetti, Guido; Cizza, Giovanni; Mazzeo, Salvatore; Vitti, Jacopo; Berger, Slava; Palla, Antonio; Santini, Ferruccio

2018-01-01

Obstructive sleep apnea–hypopnea syndrome (OSAHS) is frequently present in patients with severe obesity, but its prevalence especially in women is not well defined. OSAHS and non-alcoholic fatty liver disease are common conditions, frequently associated in patients with central obesity and metabolic syndrome and are both the result of the accumulation of ectopic fat mass. Identifying predictors of risk of OSAHS may be useful to select the subjects requiring instrumental sleep evaluation. In this cross-sectional study, we have investigated the potential role of hepatic left lobe volume (HLLV) in predicting the presence of OSAHS. OSAHS was quantified by the apnea/hypopnea index (AHI) and oxygen desaturation index in a cardiorespiratory inpatient sleep study of 97 obese women [age: 47 ± 11 years body mass index (BMI): 50 ± 8 kg/m2]. OSAHS was diagnosed when AHI was ≥5. HLLV, subcutaneous and intra-abdominal fat were measured by ultrasound. After adjustment for age and BMI, both HLLV and neck circumference (NC) were independent predictors of AHI. OSAHS was found in 72% of patients; HLLV ≥ 370 cm3 was a predictor of OSAHS with a sensitivity of 66%, a specificity of 70%, a positive and negative predictive values of 85 and 44%, respectively (AUC = 0.67, p < 0.005). A multivariate logistic model was used including age, BMI, NC, and HLLV (the only independent predictors of AHI in a multiple linear regression analyses), and a cut off value for the predicted probability of OSAHS equal to 0.7 provided the best diagnostic results (AUC = 0.79, p < 0.005) in terms of sensitivity (76%), specificity (89%), negative and positive predictive values (59 and 95%, respectively). All patients with severe OSAHS were identified by this prediction model. In conclusion, HLLV, an established index of visceral adiposity, represents an anthropometric parameter closely associated with OSAHS in severely obese women. PMID:29928260

Predicting persistence to antidepressant treatment in administrative claims data: Considering the influence of refill delays and prior persistence on other medications

PubMed Central

Bushnell, Greta A; Stürmer, Til; White, Alice; Pate, Virginia; Swanson, Sonja A; Azrael, Deborah; Miller, Matthew

2016-01-01

Background Many patients with major depressive disorder (MDD) who begin antidepressant treatment discontinue use before for six months, the recommended minimum treatment length. This study sought to identify predictors of six-month antidepressant persistence including predictors utilizing patients’ electronic prescription records. Methods Commercially insured children (3–17 years) and adults (18–64 years) with MDD who initiated antidepressant treatment, 1/1/2003–2/28/2010, were assessed for six-month persistence (based on prescriptions’ days supply, allowing a 30-day grace period). Antidepressant persistence prediction models were developed separately for children and adults. Two additional measures, days without medication between the first and second antidepressant fill (children and adults) and prior persistence on other medications (adults only), were added to the models, concordance (c) statistics were compared and risk reclassification evaluated. Results Among children (n=8,837 children) and adults (n=47,495) with MDD, six-month antidepressant persistence was low and varied by age (37%, 18–24 years to 52%, 3–12 and 50–64 years, respectively). Independent baseline predictors of persistence were identified, with model c-statistics: children=0.582, adults=0.584. Patients with more days without medication between fills were less likely to be persistent (10–30 vs. 0 days, children: RR=0.72, adults: RR=0.74), as were adults not previously persistent to other medications (RR=0.73). Limitations The definition of 6-month persistence is dependent on correct days supply values and the grace period utilized; potential predictors were limited to measures available in claims data. Conclusions Six-month antidepressant persistence was low and overall prediction of persistence was poor; however, days without medication between fills and prior persistence on other medications marginally improved the ability to predict antidepressant persistence. PMID:26921866

Beyond a Climate-Centric View of Plant Distribution: Edaphic Variables Add Value to Distribution Models

PubMed Central

Beauregard, Frieda; de Blois, Sylvie

2014-01-01

Both climatic and edaphic conditions determine plant distribution, however many species distribution models do not include edaphic variables especially over large geographical extent. Using an exceptional database of vegetation plots (n = 4839) covering an extent of ∼55000 km2, we tested whether the inclusion of fine scale edaphic variables would improve model predictions of plant distribution compared to models using only climate predictors. We also tested how well these edaphic variables could predict distribution on their own, to evaluate the assumption that at large extents, distribution is governed largely by climate. We also hypothesized that the relative contribution of edaphic and climatic data would vary among species depending on their growth forms and biogeographical attributes within the study area. We modelled 128 native plant species from diverse taxa using four statistical model types and three sets of abiotic predictors: climate, edaphic, and edaphic-climate. Model predictive accuracy and variable importance were compared among these models and for species' characteristics describing growth form, range boundaries within the study area, and prevalence. For many species both the climate-only and edaphic-only models performed well, however the edaphic-climate models generally performed best. The three sets of predictors differed in the spatial information provided about habitat suitability, with climate models able to distinguish range edges, but edaphic models able to better distinguish within-range variation. Model predictive accuracy was generally lower for species without a range boundary within the study area and for common species, but these effects were buffered by including both edaphic and climatic predictors. The relative importance of edaphic and climatic variables varied with growth forms, with trees being more related to climate whereas lower growth forms were more related to edaphic conditions. Our study identifies the potential for non-climate aspects of the environment to pose a constraint to range expansion under climate change. PMID:24658097

Physiological and computed tomographic predictors of outcome from lung volume reduction surgery.

PubMed

Washko, George R; Martinez, Fernando J; Hoffman, Eric A; Loring, Stephen H; Estépar, Raúl San José; Diaz, Alejandro A; Sciurba, Frank C; Silverman, Edwin K; Han, MeiLan K; Decamp, Malcolm; Reilly, John J

2010-03-01

Previous investigations have identified several potential predictors of outcomes from lung volume reduction surgery (LVRS). A concern regarding these studies has been their small sample size, which may limit generalizability. We therefore sought to examine radiographic and physiologic predictors of surgical outcomes in a large, multicenter clinical investigation, the National Emphysema Treatment Trial. To identify objective radiographic and physiological indices of lung disease that have prognostic value in subjects with chronic obstructive pulmonary disease being evaluated for LVRS. A subset of the subjects undergoing LVRS in the National Emphysema Treatment Trial underwent preoperative high-resolution computed tomographic (CT) scanning of the chest and measures of static lung recoil at total lung capacity (SRtlc) and inspiratory resistance (Ri). The relationship between CT measures of emphysema, the ratio of upper to lower zone emphysema, CT measures of airway disease, SRtlc, Ri, the ratio of residual volume to total lung capacity (RV/TLC), and both 6-month postoperative changes in FEV(1) and maximal exercise capacity were assessed. Physiological measures of lung elastic recoil and inspiratory resistance were not correlated with improvement in either the FEV(1) (R = -0.03, P = 0.78 and R = -0.17, P = 0.16, respectively) or maximal exercise capacity (R = -0.02, P = 0.83 and R = 0.08, P = 0.53, respectively). The RV/TLC ratio and CT measures of emphysema and its upper to lower zone ratio were only weakly predictive of postoperative changes in both the FEV(1) (R = 0.11, P = 0.01; R = 0.2, P < 0.0001; and R = 0.23, P < 0.0001, respectively) and maximal exercise capacity (R = 0.17, P = 0.0001; R = 0.15, P = 0.002; and R = 0.15, P = 0.002, respectively). CT assessments of airway disease were not predictive of change in FEV(1) or exercise capacity in this cohort. The RV/TLC ratio and CT measures of emphysema and its distribution are weak but statistically significant predictors of outcome after LVRS.

Immunological non-response and low hemoglobin levels are predictors of incident tuberculosis among HIV-infected individuals on Truvada-based therapy in Botswana.

PubMed

Mupfumi, Lucy; Moyo, Sikhulile; Molebatsi, Kesaobaka; Thami, Prisca K; Anderson, Motswedi; Mogashoa, Tuelo; Iketleng, Thato; Makhema, Joseph; Marlink, Ric; Kasvosve, Ishmael; Essex, Max; Musonda, Rosemary M; Gaseitsiwe, Simani

2018-01-01

There is a high burden of tuberculosis (TB) in HIV antiretroviral programmes in Africa. However, few studies have looked at predictors of incident TB while on Truvada-based combination antiretroviral therapy (cART) regimens. We estimated TB incidence among individuals enrolled into an observational cohort evaluating the efficacy and tolerability of Truvada-based cART in Gaborone, Botswana between 2008 and 2011. We used Cox proportional hazards regressions to determine predictors of incident TB. Of 300 participants enrolled, 45 (15%) had a diagnosis of TB at baseline. During 428 person-years (py) of follow-up, the incidence rate of TB was 3.04/100py (95% CI, 1.69-5.06), with 60% of the cases occurring within 3 months of ART initiation. Incident cases had low baseline CD4+ T cell counts (153cells/mm3 [Q1, Q3: 82, 242]; p = 0.69) and hemoglobin levels (9.2g/dl [Q1, Q3: 8.5,10.1]; p<0.01). In univariate analysis, low BMI (HR = 0.73; 95% CI 0.58-0.91; p = 0.01) and hemoglobin levels <8 g/dl (HR = 10.84; 95%CI: 2.99-40.06; p<0.01) were risk factors for TB. Time to incident TB diagnosis was significantly reduced in patients with poor immunological recovery (p = 0.04). There was no association between baseline viral load and risk of TB (HR = 1.75; 95%CI: 0.70-4.37). Low hemoglobin levels prior to initiation of ART are significant predictors of incident tuberculosis. Therefore, there is potential utility of iron biomarkers to identify patients at risk of TB prior to initiation on ART. Furthermore, additional strategies are required for patients with poor immunological recovery to reduce excess risk of TB while on ART.

Liver Enlargement Predicts Obstructive Sleep Apnea-Hypopnea Syndrome in Morbidly Obese Women.

PubMed

Scartabelli, Giovanna; Querci, Giorgia; Marconi, Letizia; Ceccarini, Giovanni; Piaggi, Paolo; Fierabracci, Paola; Salvetti, Guido; Cizza, Giovanni; Mazzeo, Salvatore; Vitti, Jacopo; Berger, Slava; Palla, Antonio; Santini, Ferruccio

2018-01-01

Obstructive sleep apnea-hypopnea syndrome (OSAHS) is frequently present in patients with severe obesity, but its prevalence especially in women is not well defined. OSAHS and non-alcoholic fatty liver disease are common conditions, frequently associated in patients with central obesity and metabolic syndrome and are both the result of the accumulation of ectopic fat mass. Identifying predictors of risk of OSAHS may be useful to select the subjects requiring instrumental sleep evaluation. In this cross-sectional study, we have investigated the potential role of hepatic left lobe volume (HLLV) in predicting the presence of OSAHS. OSAHS was quantified by the apnea/hypopnea index (AHI) and oxygen desaturation index in a cardiorespiratory inpatient sleep study of 97 obese women [age: 47 ± 11 years body mass index (BMI): 50 ± 8 kg/m 2 ]. OSAHS was diagnosed when AHI was ≥5. HLLV, subcutaneous and intra-abdominal fat were measured by ultrasound. After adjustment for age and BMI, both HLLV and neck circumference (NC) were independent predictors of AHI. OSAHS was found in 72% of patients; HLLV ≥ 370 cm 3 was a predictor of OSAHS with a sensitivity of 66%, a specificity of 70%, a positive and negative predictive values of 85 and 44%, respectively (AUC = 0.67, p  < 0.005). A multivariate logistic model was used including age, BMI, NC, and HLLV (the only independent predictors of AHI in a multiple linear regression analyses), and a cut off value for the predicted probability of OSAHS equal to 0.7 provided the best diagnostic results (AUC = 0.79, p  < 0.005) in terms of sensitivity (76%), specificity (89%), negative and positive predictive values (59 and 95%, respectively). All patients with severe OSAHS were identified by this prediction model. In conclusion, HLLV, an established index of visceral adiposity, represents an anthropometric parameter closely associated with OSAHS in severely obese women.

Beyond a climate-centric view of plant distribution: edaphic variables add value to distribution models.

PubMed

Beauregard, Frieda; de Blois, Sylvie

2014-01-01

Both climatic and edaphic conditions determine plant distribution, however many species distribution models do not include edaphic variables especially over large geographical extent. Using an exceptional database of vegetation plots (n = 4839) covering an extent of ∼55,000 km2, we tested whether the inclusion of fine scale edaphic variables would improve model predictions of plant distribution compared to models using only climate predictors. We also tested how well these edaphic variables could predict distribution on their own, to evaluate the assumption that at large extents, distribution is governed largely by climate. We also hypothesized that the relative contribution of edaphic and climatic data would vary among species depending on their growth forms and biogeographical attributes within the study area. We modelled 128 native plant species from diverse taxa using four statistical model types and three sets of abiotic predictors: climate, edaphic, and edaphic-climate. Model predictive accuracy and variable importance were compared among these models and for species' characteristics describing growth form, range boundaries within the study area, and prevalence. For many species both the climate-only and edaphic-only models performed well, however the edaphic-climate models generally performed best. The three sets of predictors differed in the spatial information provided about habitat suitability, with climate models able to distinguish range edges, but edaphic models able to better distinguish within-range variation. Model predictive accuracy was generally lower for species without a range boundary within the study area and for common species, but these effects were buffered by including both edaphic and climatic predictors. The relative importance of edaphic and climatic variables varied with growth forms, with trees being more related to climate whereas lower growth forms were more related to edaphic conditions. Our study identifies the potential for non-climate aspects of the environment to pose a constraint to range expansion under climate change.

Predictors of outcomes following reablement in community-dwelling older adults

PubMed Central

Tuntland, Hanne; Kjeken, Ingvild; Langeland, Eva; Folkestad, Bjarte; Espehaug, Birgitte; Førland, Oddvar; Aaslund, Mona Kristin

2017-01-01

Background Reablement is a rehabilitation intervention for community-dwelling older adults, which has recently been implemented in several countries. Its purpose is to improve functional ability in daily occupations (everyday activities) perceived as important by the older person. Performance and satisfaction with performance in everyday life are the major outcomes of reablement. However, the evidence base concerning which factors predict better outcomes and who receives the greatest benefit in reablement is lacking. Objective The objective of this study was to determine the potential factors that predict occupational performance and satisfaction with that performance at 10 weeks follow-up. Methods The sample in this study was derived from a nationwide clinical controlled trial evaluating the effects of reablement in Norway and consisted of 712 participants living in 34 municipalities. Multiple linear regression was used to investigate possible predictors of occupational performance (COPM-P) and satisfaction with that performance (COPM-S) at 10 weeks follow-up based on the Canadian Occupational Performance Measure (COPM). Results The results indicate that the factors that significantly predicted better COPM-P and COPM-S outcomes at 10 weeks follow-up were higher baseline scores of COPM-P and COPM-S respectively, female sex, having a fracture as the major health condition and high motivation for rehabilitation. Conversely, the factors that significantly predicted poorer COPM-P and COPM-S outcomes were having a neurological disease other than stroke, having dizziness/balance problems as the major health condition and having pain/discomfort. In addition, having anxiety/depression was a predictor of poorer COPM-P outcomes. The two regression models explained 38.3% and 38.8% of the total variance of the dependent variables of occupational performance and satisfaction with that performance, respectively. Conclusion The results indicate that diagnosis, functional level, sex and motivation are significant predictors of outcomes following reablement. PMID:28096664

The role of middle latency evoked potentials in early prediction of favorable outcomes among patients with severe ischemic brain injuries.

PubMed

Zhang, Yan; Wang, Miao; Su, Ying Ying

2014-10-15

To explore the role of middle latency evoked potentials (EPs) as predictors for favorable outcome in patients with severe ischemic brain injuries by comparing the prognostic ability of short latency somatosensory and auditory evoked potentials (SLSEP and BAEP) with middle latency somatosensory and auditory evoked potentials (MLSEP and MLAEP). MLSEP, MLAEP, SLSEP and BAEP were recorded in 112 patients with severe ischemic brain injuries (Glasgow Coma Scale ≤ 8). Among them, 83 patients suffered from cerebral ischemic stroke and 29 suffered from anoxic-ischemic encephalopathy after cardiopulmonary resuscitation between 1 and 7 days after the onset of stroke. Outcomes were reviewed 6 months later using the Glasgow Outcome Scale (GOS). A GOS score of 4-5 was considered as a good outcome while a score of 1-3 was considered as poor. By using the prognostic authenticity analysis of predictors for good outcome, at least unilateral N20 of the SLSEP exit and at least unilateral N60 of the MLSEP exit showed the highest sensitivity which was 100% (95% CI: 86.7%-100%). The bilateral normal N60 showed a high specificity of 97.5% (95% CI: 90.4%-99.6%). It also showed the highest positive likelihood ratio of 6.25% (95% CI: 1.28%-30.59%), which was superior to N20 of SLSEP, V of BAEP, and Pa of MLAEP. The analysis demonstrated that the area under the curve for MLSEP grading was the highest (0.838) compared to that of SLSEP grading (0.784), MLAEP grading (0.659) and BAEP grading (0.621). Compared with using N20 of SLSEP analysis alone, adding MLSEP improves the outcome prediction in patients with severe ischemic brain injuries. When an outcome is uncertain after initial evaluation using short-latency EPs, MLSEP is valuable to be used from the first week to further improve prognostication in these patients. Copyright © 2014 Elsevier B.V. All rights reserved.

Legume Diversity Patterns in West Central Africa: Influence of Species Biology on Distribution Models

PubMed Central

de la Estrella, Manuel; Mateo, Rubén G.; Wieringa, Jan J.; Mackinder, Barbara; Muñoz, Jesús

2012-01-01

Objectives Species Distribution Models (SDMs) are used to produce predictions of potential Leguminosae diversity in West Central Africa. Those predictions are evaluated subsequently using expert opinion. The established methodology of combining all SDMs is refined to assess species diversity within five defined vegetation types. Potential species diversity is thus predicted for each vegetation type respectively. The primary aim of the new methodology is to define, in more detail, areas of species richness for conservation planning. Methodology Using Maxent, SDMs based on a suite of 14 environmental predictors were generated for 185 West Central African Leguminosae species, each categorised according to one of five vegetation types: Afromontane, coastal, non-flooded forest, open formations, or riverine forest. The relative contribution of each environmental variable was compared between different vegetation types using a nonparametric Kruskal-Wallis analysis followed by a post-hoc Kruskal-Wallis Paired Comparison contrast. Legume species diversity patterns were explored initially using the typical method of stacking all SDMs. Subsequently, five different ensemble models were generated by partitioning SDMs according to vegetation category. Ecological modelers worked with legume specialists to improve data integrity and integrate expert opinion in the interpretation of individual species models and potential species richness predictions for different vegetation types. Results/Conclusions Of the 14 environmental predictors used, five showed no difference in their relative contribution to the different vegetation models. Of the nine discriminating variables, the majority were related to temperature variation. The set of variables that played a major role in the Afromontane species diversity model differed significantly from the sets of variables of greatest relative important in other vegetation categories. The traditional approach of stacking all SDMs indicated overall centers of diversity in the region but the maps indicating potential species richness by vegetation type offered more detailed information on which conservation efforts can be focused. PMID:22911808

Assessments of chromium (and other metals) in vegetables and potential bio-accumulations in humans living in areas affected by tannery wastes.

PubMed

Chen, Hualin; Arocena, Joselito M; Li, Jianbing; Thring, Ronald W; Zhou, Jiangmin

2014-10-01

Chromium (Cr) commonly enters the food chain through uptake by vegetables. However, accurate prediction of plant uptake of Cr (and other metals) still remains a challenge. In this study, we evaluated 5 indices of availability for Cr (and other metals) to identify reliable predictors of metal transfer from soils to garlic, onion, bokchoy, radish and celery grown in soils impacted by tannery wastes. The potential bio-accumulation of Cr in humans was calculated from the Cr content of vegetable predicted by the best bio-availability index, amounts of vegetable consumed and recommended daily doses for Cr. Our results show that soil total Cr is the best predictor of Cr transfer from soils to onion (Cr in onion=8.51+0.005 Total Cr) while Cr extractable by Synthetic Precipitation Leaching Procedure at pH 5 correlates very well with Cr uptake by bokchoy (Cr bokchoy=5.86+7.32 SPLP-5 Cr) and garlic (Cr garlic=7.63+2.36 SPLP-5 Cr). The uptake of Cr by radish and celery could not be reliably estimated by any of the 5 indices of availability tested in this study. Potential bio-accumulation of Cr in humans (BA-Cr) increases from soils with low Cr (BA-Cr=11.5) to soil with high total Cr (BA-Cr=31.3). Due to numerous soil factors affecting the behavior of Cr in soils and the physiological differences among vegetables, we suggest that the prediction of the transfer of Cr (and other metals) from soils to plants should be specific to site, metal and vegetable. Potential bio-accumulation of Cr in humans can be derived from a transfer function of Cr from soils to plants and the human consumption of vegetables. Copyright © 2014 Elsevier Ltd. All rights reserved.

Methodological and Design Considerations in Evaluating the Impact of Prevention Programs on Violence and Related Health Outcomes.

PubMed

Massetti, Greta M; Simon, Thomas R; Smith, Deborah Gorman

2016-10-01

Drawing on research that has identified specific predictors and trajectories of risk for violence and related negative outcomes, a multitude of small- and large-scale preventive interventions for specific risk behaviors have been developed, implemented, and evaluated. One of the principal challenges of these approaches is that a number of separate problem-specific programs targeting different risk areas have emerged. However, as many negative health behaviors such as substance abuse and violence share a multitude of risk factors, many programs target identical risk factors. There are opportunities to understand whether evidence-based programs can be leveraged for potential effects across a spectrum of outcomes and over time. Some recent work has documented longitudinal effects of evidence-based interventions on generalized outcomes. This work has potential for advancing our understanding of the effectiveness of promising and evidence-based prevention strategies. However, conducting longitudinal follow-up of established interventions presents a number of methodological and design challenges. To answer some of these questions, the Centers for Disease Control and Prevention convened a panel of multidisciplinary experts to discuss opportunities to take advantage of evaluations of early prevention programs and evaluating multiple long-term outcomes. This special section of the journal Prevention Science includes a series of papers that begin to address the relevant considerations for conducting longitudinal follow-up evaluation research. This collection of papers is intended to inform our understanding of the challenges and strategies for conducting longitudinal follow-up evaluation research that could be used to drive future research endeavors.

Predictors of mammography screening among ethnically diverse low-income women.

PubMed

Cronan, Terry A; Villalta, Ian; Gottfried, Emily; Vaden, Yavette; Ribas, Mabel; Conway, Terry L

2008-05-01

Breast cancer is the second leading cause of cancer deaths among women in the United States. Minority women are less likely to be screened and more likely to die from breast cancer than are Caucasian women. Although some studies have examined ethnic disparities in mammography screening, no study has examined whether there are ethnic disparities among low-income, ethnically diverse women. The present study was designed to determine whether there are ethnic disparities in mammography screening and predictors of screening among low-income African American, Mexican American, and Caucasian women, and to determine whether the disparities and predictors vary across ethnic groups. The participants were 146 low-income women who were Mexican American (32%), African American (31%), or Caucasian (37%). Statistical analyses were performed to assess the relationships between mammography screening during the past 2 years and potential predictors of screening, both within ethnic groups and for the combined sample. The results varied depending on whether analyses combined ethnic groups or were performed within each of the three ethnic groups. It is, therefore, important to examine within-group differences when examining ethnic disparities in predictors of mammography.

Exploratory Decision-Tree Modeling of Data from the Randomized REACTT Trial of Tadalafil Versus Placebo to Predict Recovery of Erectile Function After Bilateral Nerve-Sparing Radical Prostatectomy

PubMed Central

Montorsi, Francesco; Oelke, Matthias; Henneges, Carsten; Brock, Gerald; Salonia, Andrea; d’Anzeo, Gianluca; Rossi, Andrea; Mulhall, John P.; Büttner, Hartwig

2017-01-01

Background Understanding predictors for the recovery of erectile function (EF) after nerve-sparing radical prostatectomy (nsRP) might help clinicians and patients in preoperative counseling and expectation management of EF rehabilitation strategies. Objective To describe the effect of potential predictors on EF recovery after nsRP by post hoc decision-tree modeling of data from A Study of Tadalafil After Radical Prostatectomy (REACTT). Design, setting, and participants Randomized double-blind double-dummy placebo-controlled trial in 423 men aged <68 yr with adenocarcinoma of the prostate (Gleason ≤7, normal preoperative EF) who underwent nsRP at 50 centers from nine European countries and Canada. Intervention Postsurgery 1:1:1 randomization to 9-mo double-blind treatment with tadalafil 5 mg once a day (OaD), tadalafil 20 mg on demand, or placebo, followed by a 6-wk drug-free-washout, and a 3-mo open-label tadalafil OaD treatment. Outcome measurements and statistical analysis Three decision-tree models, using the International Index of Erectile Function-Erectile Function (IIEF-EF) domain score at the end of double-blind treatment, washout, and open-label treatment as response variable. Each model evaluated the association between potential predictors: presurgery IIEF domain and IIEF single-item scores, surgical approach, nerve-sparing score (NSS), and postsurgery randomized treatment group. Results and limitations The first decision-tree model (n = 422, intention-to-treat population) identified high presurgery sexual desire (IIEF item 12: ≥3.5 and <3.5) as the key predictor for IIEF-EF at the end of double-blind treatment (mean IIEF-EF: 14.9 and 11.1), followed by high confidence to get and maintain an erection (IIEF item 15: ≥3.5 and <3.5; IIEF-EF: 15.4 and 7.1). For patients meeting these criteria, additional non-IIEF–related predictors included robot-assisted laparoscopic surgery (yes or no; IIEF-EF: 19.3 and 12.6), quality of nerve sparing (NSS: <2.5 and ≥2.5; IIEF-EF: 14.3 and 10.5), and treatment with tadalafil OaD (yes and no; IIEF-EF: 17.6 and 14.3). Additional analyses after washout and open-label treatment identified high presurgery intercourse satisfaction as the key predictor. Conclusions Exploratory decision-tree analyses identified high presurgery sexual desire, confidence, and intercourse satisfaction as key predictors for EF recovery. Patients meeting these criteria might benefit the most from conserving surgery and early postsurgery EF rehabilitation. Strategies for improving EF after surgery should be discussed preoperatively with all patients; this information may support expectation management for functional recovery on an individual patient level. Patient summary Understanding how patient characteristics and different treatment options affect the recovery of erectile function (EF) after radical surgery for prostate cancer might help physicians select the optimal treatment for their patients. This analysis of data from a clinical trial suggested that high presurgery sexual desire, sexual confidence, and intercourse satisfaction are key factors predicting EF recovery. Patients meeting these criteria might benefit the most from conserving surgery (robot-assisted surgery, perfect nerve sparing) and postsurgery medical rehabilitation of EF. Trial registration ClinicalTrials.gov, NCT01026818 PMID:26947602

Durable Complete Response After Discontinuation of Pembrolizumab in Patients With Metastatic Melanoma.

PubMed

Robert, Caroline; Ribas, Antoni; Hamid, Omid; Daud, Adil; Wolchok, Jedd D; Joshua, Anthony M; Hwu, Wen-Jen; Weber, Jeffrey S; Gangadhar, Tara C; Joseph, Richard W; Dronca, Roxana; Patnaik, Amita; Zarour, Hassane; Kefford, Richard; Hersey, Peter; Zhang, Jin; Anderson, James; Diede, Scott J; Ebbinghaus, Scot; Hodi, F Stephen

2017-12-28

Purpose Pembrolizumab provides durable antitumor activity in metastatic melanoma, including complete response (CR) in about 15% of patients. Data are limited on potential predictors of CR and patient disposition after pembrolizumab discontinuation after CR. We describe baseline characteristics and long-term follow-up in patients who experienced CR with pembrolizumab in the KEYNOTE-001 study ( ClinicalTrials.gov identifier: NCT01295827). Patients and Methods Patients with ipilimumab-naive or -treated advanced/metastatic melanoma received one of three dose regimens of pembrolizumab. Eligible patients who received pembrolizumab for ≥ 6 months and at least two treatments beyond confirmed CR could discontinue therapy. Response was assessed every 12 weeks by central Response Evaluation Criteria in Solid Tumors version 1.1. For this analysis, CR was defined per investigator assessment, immune-related response criteria, and potential predictors of CR were evaluated using univariate and multivariate analyses. Results Of 655 treated patients, 105 (16.0%) achieved CR after median follow-up of 43 months. At data cutoff, 92 patients (87.6%) had CR, with median follow-up of 30 months from first CR. Fourteen (13.3%) patients continued to receive treatment for a median of ≥ 40 months. Pembrolizumab was discontinued by 91 patients (86.7%), including 67 (63.8%) who proceeded to observation without additional anticancer therapy. The 24-month disease-free survival rate from time of CR was 90.9% in all 105 patients with CR and 89.9% in the 67 patients who discontinued pembrolizumab after CR for observation. Tumor size and programmed death-ligand 1 status were among the baseline factors independently associated with CR by univariate analysis. Conclusion Patients with metastatic melanoma can have durable complete remission after discontinuation of pembrolizumab, and the low incidence of relapse after median follow-up of approximately 2 years from discontinuation provides hope for a cure for some patients. The mechanisms underlying durable CR require further investigation.

Using the Hendrich II Inpatient Fall Risk Screen to Predict Outpatient Falls After Emergency Department Visits.

PubMed

Patterson, Brian W; Repplinger, Michael D; Pulia, Michael S; Batt, Robert J; Svenson, James E; Trinh, Alex; Mendonça, Eneida A; Smith, Maureen A; Hamedani, Azita G; Shah, Manish N

2018-04-01

To evaluate the utility of routinely collected Hendrich II fall scores in predicting returns to the emergency department (ED) for falls within 6 months. Retrospective electronic record review. Academic medical center ED. Individuals aged 65 and older seen in the ED from January 1, 2013, through September 30, 2015. We evaluated the utility of routinely collected Hendrich II fall risk scores in predicting ED visits for a fall within 6 months of an all-cause index ED visit. For in-network patient visits resulting in discharge with a completed Hendrich II score (N = 4,366), the return rate for a fall within 6 months was 8.3%. When applying the score alone to predict revisit for falls among the study population the resultant receiver operating characteristic (ROC) plot had an area under the curve (AUC) of 0.64. In a univariate model, the odds of returning to the ED for a fall in 6 months were 1.23 times as high for every 1-point increase in Hendrich II score (odds ratio (OR)=1.23 (95% confidence interval (CI)=1.19-1.28). When included in a model with other potential confounders or predictors of falls, the Hendrich II score is a significant predictor of a return ED visit for fall (adjusted OR=1.15, 95% CI=1.10-1.20, AUC=0.75). Routinely collected Hendrich II scores were correlated with outpatient falls, but it is likely that they would have little utility as a stand-alone fall risk screen. When combined with easily extractable covariates, the screen performs much better. These results highlight the potential for secondary use of electronic health record data for risk stratification of individuals in the ED. Using data already routinely collected, individuals at high risk of falls after discharge could be identified for referral without requiring additional screening resources. © 2018, Copyright the Authors Journal compilation © 2018, The American Geriatrics Society.

Do Social Casino Gamers Migrate to Online Gambling? An Assessment of Migration Rate and Potential Predictors.

PubMed

Kim, Hyoun S; Wohl, Michael J A; Salmon, Melissa M; Gupta, Rina; Derevensky, Jeffrey

2015-12-01

Social casino games (i.e., free-to-play online gambling games) are enjoyed by millions of players worldwide on a daily basis. Despite being free to play, social casino games share many similarities to traditional casino games. As such, concerns have been raised as to whether social casino games influences the migration to online gambling among people who have not engaged in such activity (see Griffiths in World Online Gambl 9:12-13, 2010). To date, however, no empirical research has assessed this possibility. Thus, the purpose of the present research was to assess the extent to which social casino gamers migrate to online gambling and potential predictors (time spent on social casino games, skill building, enhancement and micro-transactions) of such migration. To this end, social casino gamers who never gambled online (N = 409) completed a questionnaire battery assessing our variables of interest and were re-contacted 6-months later to see if they had engaged in online gambling during the intervening months. Approximately 26% of social casino gamers reported having migrated to online gambling. Importantly, engagement in micro-transactions was the only unique predictor of migration from social casino gaming to online gambling. The implications for the potential harms associated with social casino gaming are discussed.

Predictors of self-reported negative mood following a depressive mood induction procedure across previously depressed, currently anxious, and control individuals.

PubMed

Scherrer, Martin C; Dobson, Keith S; Quigley, Leanne

2014-09-01

This study identified and examined a set of potential predictors of self-reported negative mood following a depressive mood induction procedure (MIP) in a sample of previously depressed, clinically anxious, and control participants. The examined predictor variables were selected on the basis of previous research and theories of depression, and included symptoms of depression and anxiety, negative and positive affect, negative and positive automatic thoughts, dysfunctional beliefs, rumination, self-concept, and occurrence and perceived unpleasantness of recent negative events. The sample consisted of 33 previously depressed, 22 currently anxious, and 26 non-clinical control participants, recruited from community sources. Participant group status was confirmed through structured diagnostic interviews. Participants completed the Velten negative self-statement MIP as well as self-report questionnaires of affective, cognitive, and psychosocial variables selected as potential predictors of mood change. Symptoms of anxiety were associated with increased self-reported negative mood shift following the MIP in previously depressed participants, but not clinically anxious or control participants. Increased occurrence of recent negative events was a marginally significant predictor of negative mood shift for the previously depressed participants only. None of the other examined variables was significant predictors of MIP response for any of the participant groups. These results identify factors that may increase susceptibility to negative mood states in previously depressed individuals, with implications for theory and prevention of relapse to depression. The findings also identify a number of affective, cognitive, and psychosocial variables that do not appear to influence mood change following a depressive MIP in previously depressed, currently anxious, and control individuals. Limitations of the study and directions for future research are discussed. Current anxiety symptomatology was a significant predictor and occurrence of recent negative events was a marginally significant predictor of greater negative mood shift following the depressive mood induction for previously depressed individuals. None of the examined variables predicted change in mood following the depressive mood induction for currently anxious or control individuals. These results suggest that anxiety symptoms and experience with negative events may increase risk for experiencing depressive mood states among individuals with a vulnerability to depression. The generalizability of the present results to individuals with comorbid depression and anxiety is limited. Future research employing appropriate statistical approaches for confirmatory research is needed to test and confirm the present results. © 2014 The British Psychological Society.

Using a binary logistic regression method and GIS for evaluating and mapping the groundwater spring potential in the Sultan Mountains (Aksehir, Turkey)

NASA Astrophysics Data System (ADS)

Ozdemir, Adnan

2011-07-01

SummaryThe purpose of this study is to produce a groundwater spring potential map of the Sultan Mountains in central Turkey, based on a logistic regression method within a Geographic Information System (GIS) environment. Using field surveys, the locations of the springs (440 springs) were determined in the study area. In this study, 17 spring-related factors were used in the analysis: geology, relative permeability, land use/land cover, precipitation, elevation, slope, aspect, total curvature, plan curvature, profile curvature, wetness index, stream power index, sediment transport capacity index, distance to drainage, distance to fault, drainage density, and fault density map. The coefficients of the predictor variables were estimated using binary logistic regression analysis and were used to calculate the groundwater spring potential for the entire study area. The accuracy of the final spring potential map was evaluated based on the observed springs. The accuracy of the model was evaluated by calculating the relative operating characteristics. The area value of the relative operating characteristic curve model was found to be 0.82. These results indicate that the model is a good estimator of the spring potential in the study area. The spring potential map shows that the areas of very low, low, moderate and high groundwater spring potential classes are 105.586 km 2 (28.99%), 74.271 km 2 (19.906%), 101.203 km 2 (27.14%), and 90.05 km 2 (24.671%), respectively. The interpretations of the potential map showed that stream power index, relative permeability of lithologies, geology, elevation, aspect, wetness index, plan curvature, and drainage density play major roles in spring occurrence and distribution in the Sultan Mountains. The logistic regression approach has not yet been used to delineate groundwater potential zones. In this study, the logistic regression method was used to locate potential zones for groundwater springs in the Sultan Mountains. The evolved model was found to be in strong agreement with the available groundwater spring test data. Hence, this method can be used routinely in groundwater exploration under favourable conditions.

Self-reported immature defense style as a predictor of outcome in short-term and long-term psychotherapy

PubMed Central

Laaksonen, Maarit A; Sirkiä, Carlos; Knekt, Paul; Lindfors, Olavi

2014-01-01

Objective Identification of pretreatment patient characteristics predictive of psychotherapy outcome could help to guide treatment choices. This study evaluates patients' initial level of immature defense style as a predictor of the outcome of short-term versus long-term psychotherapy. Method In the Helsinki Psychotherapy Study, 326 adult outpatients with mood or anxiety disorder were randomized to individual short-term (psychodynamic or solution-focused) or long-term (psychodynamic) psychotherapy. Their defense style was assessed at baseline using the 88-item Defense Style Questionnaire and classified as low or high around the median value of the respective score. Both specific (Beck Depression Inventory [BDI], Hamilton Depression Rating Scale [HDRS], Symptom Check List Anxiety Scale [SCL-90-Anx], Hamilton Anxiety Rating Scale [HARS]) and global (Symptom Check List Global Severity Index [SCL-90-GSI], Global Assessment of Functioning Scale [GAF]) psychiatric symptoms were measured at baseline and 3–7 times during a 3-year follow-up. Results Patients with high use of immature defense style experienced greater symptom reduction in long-term than in short-term psychotherapy by the end of the 3-year follow-up (50% vs. 34%). Patients with low use of immature defense style experienced faster symptom reduction in short-term than in long-term psychotherapy during the first year of follow-up (34% vs. 19%). Conclusion Knowledge of patients' initial level of immature defense style may potentially be utilized in tailoring treatments. Further research on defense styles as outcome predictors in psychotherapies of different types is needed. PMID:25161816

Recidivism in stalking and obsessional harassment.

PubMed

Rosenfeld, Barry

2003-06-01

Despite the rapidly growth of mental health attention focused on the phenomenon of stalking, no empirical research to date has attempted to assess the frequency of repeat offending or attempted to identify predictors of recidivism. A total of 148 stalking and harassment offenders who were court-ordered to undergo a mental health evaluation were followed for a period of 2.5-13 years in order to assess the frequency of repeat offenses and the variables that differentiated high versus low risk offenders. Recidivism data were obtained from a variety of sources, including criminal justice records, mental health records, and reports from probation officers and victims. A number of potential "predictor" variables were selected on the basis of the existing recidivism literature in other criminal justice populations. Frequency analysis were used to identify variables that significantly differentiated offenders who did and did not reoffened while survival analysis was used to analyze the impact of these covariates on time to reoffense. A total of 49% of the offenders reoffended during the follow-up period, 80% of whom reoffended during the first year. The strongest predictors of recidivism included the presence of a personality disorder, and in particular, a "Cluster B" personality disorder (i.e., antisocial, borderline, and/or narcissistic). In addition, those offenders with both a personality disorder and a history of substance abuse were significantly more likely to reoffened compared to either of these risk factors alone. Surprisingly, the presence of a delusional disorder (e.g., erotomania) was associated with a lower risk of reoffender. The findings are discussed in terms of the legal system and treatment implications.

Association of spring-summer hydrology and meteorology with human West Nile virus infection in West Texas, USA, 2002-2016.

PubMed

Ukawuba, Israel; Shaman, Jeffrey

2018-04-04

The emergence of West Nile virus (WNV) in the Western Hemisphere has motivated research into the processes contributing to the incidence and persistence of the disease in the region. Meteorology and hydrology are fundamental determinants of vector-borne disease transmission dynamics of a region. The availability of water influences the population dynamics of vector and host, while temperature impacts vector growth rates, feeding habits, and disease transmission potential. Characterization of the temporal pattern of environmental factors influencing WNV risk is crucial to broaden our understanding of local transmission dynamics and to inform efforts of control and surveillance. We used hydrologic, meteorological and WNV data from west Texas (2002-2016) to analyze the relationship between environmental conditions and annual human WNV infection. A Bayesian model averaging framework was used to evaluate the association of monthly environmental conditions with WNV infection. Findings indicate that wet conditions in the spring combined with dry and cool conditions in the summer are associated with increased annual WNV cases. Bayesian multi-model inference reveals monthly means of soil moisture, specific humidity and temperature to be the most important variables among predictors tested. Environmental conditions in March, June, July and August were the leading predictors in the best-fitting models. The results significantly link soil moisture and temperature in the spring and summer to WNV transmission risk. Wet spring in association with dry and cool summer was the temporal pattern best-describing WNV, regardless of year. Our findings also highlight that soil moisture may be a stronger predictor of annual WNV transmission than rainfall.

Activity restriction induced by fear of falling and objective and subjective measures of physical function: a prospective cohort study.

PubMed

Deshpande, Nandini; Metter, E Jeffrey; Lauretani, Fulvio; Bandinelli, Stefania; Guralnik, Jack; Ferrucci, Luigi

2008-04-01

To examine whether activity restriction specifically induced by fear of falling (FF) contributes to greater risk of disability and decline in physical function. Prospective cohort study. Population-based older cohort. Six hundred seventy-three community-living elderly (> or = 65) participants in the Invecchiare in Chianti Study who reported FF. FF, fear-induced activity restriction, cognition, depressive symptoms, comorbidities, smoking history, and demographic factors were assessed at baseline. Disability in activities of daily living (ADLs) and instrumental activities of daily living (IADLs) and performance on the Short Performance Physical Battery (SPPB) were evaluated at baseline and at the 3-year follow-up. One-quarter (25.5%) of participants did not report any activity restriction, 59.6% reported moderate activity restriction (restriction or avoidance of < 3 activities), and 14.9% reported severe activity restriction (restriction or avoidance of > or = 3 activities). The severe restriction group reported significantly higher IADL disability and worse SPPB scores than the no restriction and moderate restriction groups. Severe activity restriction was a significant independent predictor of worsening ADL disability and accelerated decline in lower extremity performance on SPPB over the 3-year follow-up. Severe and moderate activity restriction were independent predictors of worsening IADL disability. Results were consistent even after adjusting for multiple potential confounders. In an elderly population, activity restriction associated with FF is an independent predictor of decline in physical function. Future intervention studies in geriatric preventive care should directly address risk factors associated with FF and activity restriction to substantiate long-term effects on physical abilities and autonomy of older persons.

Influence of transportation cost on long-term retention in clinic for HIV patients in rural Haiti.

PubMed

Sowah, Leonard A; Turenne, Franck V; Buchwald, Ulrike K; Delva, Guesly; Mesidor, Romaine N; Dessaigne, Camille G; Previl, Harold; Patel, Devang; Edozien, Anthony; Redfield, Robert R; Amoroso, Anthony

2014-12-01

With improved access to antiretroviral therapy in resource-constrained settings, long-term retention in HIV clinics has become an important means of reducing costs and improving outcomes. Published data on retention in HIV clinics beyond 24 months are, however, limited. In our clinic in rural Haiti, we hypothesized that individuals residing in locations with higher transportation costs to clinic would have poorer retention than those who had lower costs. We used a retrospective cohort design to evaluate potential predictors of HIV clinic retention. Patient information was abstracted from the electronic medical records. Cox proportional hazards regression was used to identify independent predictors of 4-year clinic retention. There were 410 patients in our cohort, 266 (64.9%) females and 144 (35.1%) males. Forty-five (11%) patients lived in locations with transportation costs >$2. Males were 1.5 times more likely to live in municipalities with transportation costs to clinic of >$2. Multivariate analysis suggested that age <30 years, male gender, and transportation cost were independent predictors of loss to follow-up (LTFU): risk ratio of 2.98, 95% confidence interval (CI): 1.73 to 4.96, P < 0.001; 1.71, CI: 1.08 to 2.70, P = 0.02; and 1.91, CI: 1.08 to 3.36, P = 0.02, respectively. Patients with transportation costs greater than $2 were 1.9 times more likely to be lost to care compared with those who paid less for transportation. HIV treatment programs in resource-constrained settings may need to pay closer attention to issues related to transportation cost to improve patient retention.

A Bayesian Approach for Population Pharmacokinetic Modeling of Pegylated Interferon α-2a in Hepatitis C Patients.

PubMed

Saleh, Mohammad I

2017-11-01

Pegylated interferon α-2a (PEG-IFN-α-2a) is an antiviral drug used for the treatment of chronic hepatitis C virus (HCV) infection. This study describes the population pharmacokinetics of PEG-IFN-α-2a in hepatitis C patients using a Bayesian approach. A possible association between patient characteristics and pharmacokinetic parameters is also explored. A Bayesian population pharmacokinetic modeling approach, using WinBUGS version 1.4.3, was applied to a cohort of patients (n = 292) with chronic HCV infection. Data were obtained from two phase III studies sponsored by Hoffmann-La Roche. Demographic and clinical information were evaluated as possible predictors of pharmacokinetic parameters during model development. A one-compartment model with an additive error best fitted the data, and a total of 2271 PEG-IFN-α-2a measurements from 292 subjects were analyzed using the proposed population pharmacokinetic model. Sex was identified as a predictor of PEG-IFN-α-2a clearance, and hemoglobin baseline level was identified as a predictor of PEG-IFN-α-2a volume of distribution. A population pharmacokinetic model of PEG-IFN-α-2a in patients with chronic HCV infection was presented in this study. The proposed model can be used to optimize PEG-IFN-α-2a dosing in patients with chronic HCV infection. Optimal PEG-IFN-α-2a selection is important to maximize response and/or to avoid potential side effects such as thrombocytopenia and neutropenia. NV15942 and NV15801.

Workforce gender, company size and corporate financial support are predictors of availability of healthy meals in Danish worksite canteens.

PubMed

Thorsen, Anne Vibeke; Lassen, Anne Dahl; Andersen, Jens Strodl; Mikkelsen, Bent Egberg

2009-11-01

Environmental strategies at worksites may help consumers change dietary behaviour towards a more healthy diet. The present study aimed to evaluate the availability of healthy meal options at Danish worksite canteens and to identify predictors of worksite canteens providing healthy meals. A self-administered questionnaire was randomly mailed to 1967 worksite canteen managers. Besides information and characteristics about the canteen and the worksite, the canteen managers specified the menus available. Two different health groups (Healthy and Less Healthy) were defined in three different meal categories (Sandwiches, Hot meals and Salads) as well as a combined category (Combined) combining all the three meal categories. The characteristics of the worksites were compared with regard to the different health groups. Randomly selected Danish worksite canteens. 553 Danish worksite canteen managers replied, resulting in a response rate of 29 %. Only 12 % of the canteens applied to the Healthy group combining all the three meal categories. In particular, worksites with more than 75 % female employees served healthy menus on a frequent basis. The size of the worksite was positively correlated with more healthy meal options. Furthermore, the present study suggests a positive relationship between corporate financial support and the availability of healthy meal options. Among the selected variables studied, workforce gender, company size and corporate financial support were significant predictors of the availability of healthy meal options in worksite canteens. More research is needed on the role that variance in organisation environment plays for the potential of worksite intervention, to make a difference in terms of healthy eating.

Long-term employment among people at ultra-high risk for psychosis.

PubMed

Cotter, Jack; Lin, Ashleigh; Drake, Richard J; Thompson, Andrew; Nelson, Barnaby; McGorry, Patrick; Wood, Stephen J; Yung, Alison R

2017-06-01

Psychotic disorders are associated with high rates of sustained unemployment, however, little is known about the long-term employment outcome of people at ultra-high risk (UHR) of developing psychosis. We sought to investigate the long-term unemployment rate and baseline predictors of employment status at follow-up in a large UHR cohort. 268 UHR patients recruited from the Personal Assessment and Crisis Evaluation clinic in Melbourne, Australia were followed-up over 2-14years after initial presentation to the service. Individuals in no form of employment or education were classed as unemployed. Logistic regression analyses were used to examine predictors of employment outcome. A high rate of unemployment was present at follow-up in this UHR sample (23%). At baseline, those who were unemployed at follow-up had a longer duration of untreated illness, more severe negative symptoms, lower IQ, poorer social and occupational functioning and reported more childhood trauma than the employed group. At follow-up, unemployed individuals exhibited significantly more severe symptoms on all measures and were more likely to have been diagnosed with a mood, anxiety, psychotic or substance use disorder. Childhood trauma and the duration of untreated illness at baseline were significant independent predictors of employment status at follow-up in the multivariate analyses. Nearly a quarter of this UHR sample was unemployed at long-term follow-up. The duration of untreated illness and the effects of childhood trauma are potentially modifiable risk factors for long-term employment outcome in this group. Vocational support may be beneficial for many UHR patients presenting to services. Copyright © 2016 Elsevier B.V. All rights reserved.

What variables are important in predicting bovine viral diarrhea virus? A random forest approach.

PubMed

Machado, Gustavo; Mendoza, Mariana Recamonde; Corbellini, Luis Gustavo

2015-07-24

Bovine viral diarrhea virus (BVDV) causes one of the most economically important diseases in cattle, and the virus is found worldwide. A better understanding of the disease associated factors is a crucial step towards the definition of strategies for control and eradication. In this study we trained a random forest (RF) prediction model and performed variable importance analysis to identify factors associated with BVDV occurrence. In addition, we assessed the influence of features selection on RF performance and evaluated its predictive power relative to other popular classifiers and to logistic regression. We found that RF classification model resulted in an average error rate of 32.03% for the negative class (negative for BVDV) and 36.78% for the positive class (positive for BVDV).The RF model presented area under the ROC curve equal to 0.702. Variable importance analysis revealed that important predictors of BVDV occurrence were: a) who inseminates the animals, b) number of neighboring farms that have cattle and c) rectal palpation performed routinely. Our results suggest that the use of machine learning algorithms, especially RF, is a promising methodology for the analysis of cross-sectional studies, presenting a satisfactory predictive power and the ability to identify predictors that represent potential risk factors for BVDV investigation. We examined classical predictors and found some new and hard to control practices that may lead to the spread of this disease within and among farms, mainly regarding poor or neglected reproduction management, which should be considered for disease control and eradication.

Predictors of temporary and permanent work disability in patients with inflammatory bowel disease: results of the swiss inflammatory bowel disease cohort study.

PubMed

Siebert, Uwe; Wurm, Johannes; Gothe, Raffaella Matteucci; Arvandi, Marjan; Vavricka, Stephan R; von Känel, Roland; Begré, Stefan; Sulz, Michael C; Meyenberger, Christa; Sagmeister, Markus

2013-01-01

Inflammatory bowel disease can decrease the quality of life and induce work disability. We sought to (1) identify and quantify the predictors of disease-specific work disability in patients with inflammatory bowel disease and (2) assess the suitability of using cross-sectional data to predict future outcomes, using the Swiss Inflammatory Bowel Disease Cohort Study data. A total of 1187 patients were enrolled and followed up for an average of 13 months. Predictors included patient and disease characteristics and drug utilization. Potential predictors were identified through an expert panel and published literature. We estimated adjusted effect estimates with 95% confidence intervals using logistic and zero-inflated Poisson regression. Overall, 699 (58.9%) experienced Crohn's disease and 488 (41.1%) had ulcerative colitis. Most important predictors for temporary work disability in patients with Crohn's disease included gender, disease duration, disease activity, C-reactive protein level, smoking, depressive symptoms, fistulas, extraintestinal manifestations, and the use of immunosuppressants/steroids. Temporary work disability in patients with ulcerative colitis was associated with age, disease duration, disease activity, and the use of steroids/antibiotics. In all patients, disease activity emerged as the only predictor of permanent work disability. Comparing data at enrollment versus follow-up yielded substantial differences regarding disability and predictors, with follow-up data showing greater predictor effects. We identified predictors of work disability in patients with Crohn's disease and ulcerative colitis. Our findings can help in forecasting these disease courses and guide the choice of appropriate measures to prevent adverse outcomes. Comparing cross-sectional and longitudinal data showed that the conduction of cohort studies is inevitable for the examination of disability.

Prediction of driving capacity after traumatic brain injury: a systematic review.

PubMed

Ortoleva, Claudia; Brugger, Camille; Van der Linden, Martial; Walder, Bernhard

2012-01-01

To review the current evidence on predictors for the ability to return to driving after traumatic brain injury. Systematic searches were conducted in MEDLINE, PsycINFO, EMBASE, and CINAHL up to March 1, 2010. Studies were rigorously rated for their methodological content and quality and standardized data were extracted from eligible studies. We screened 2341 articles, of which 7 satisfied our inclusion criteria. Five studies were of limited quality because of undefined, unrepresentative samples and/or absence of blinding. Studies mentioned 38 candidate predictors and tested 37. The candidate predictors most frequently mentioned were "selective attention" and "divided attention" in 4/7 studies, and "executive functions" and "processing speed," both in 3/7 studies. No association with driving was observed for 19 candidate predictors. Eighteen candidate predictors from 3 domains were associated with driving capacity: patient and trauma characteristics, neuropsychological assessments, and general assessments; 10 candidate predictors were tested in only one study and 8 in more than one study. The results of associations were contradictory for all but one: time between trauma and driving evaluation. There is no sound basis at present for predicting driving capacity after traumatic brain injury because most studies have methodological limitations.

Bayesian latent structure modeling of walking behavior in a physical activity intervention

PubMed Central

Lawson, Andrew B; Ellerbe, Caitlyn; Carroll, Rachel; Alia, Kassandra; Coulon, Sandra; Wilson, Dawn K; VanHorn, M Lee; St George, Sara M

2017-01-01

The analysis of walking behavior in a physical activity intervention is considered. A Bayesian latent structure modeling approach is proposed whereby the ability and willingness of participants is modeled via latent effects. The dropout process is jointly modeled via a linked survival model. Computational issues are addressed via posterior sampling and a simulated evaluation of the longitudinal model’s ability to recover latent structure and predictor effects is considered. We evaluate the effect of a variety of socio-psychological and spatial neighborhood predictors on the propensity to walk and the estimation of latent ability and willingness in the full study. PMID:24741000

Sports concussion: management and predictors of outcome.

PubMed

Reddy, Cara Camiolo; Collins, Michael W

2009-01-01

Interest in sports concussion has grown widely in the last two decades among laypersons and medical professionals. Significant contributions of evidence-based research have led to a better understanding of this multifaceted, but still often elusive, injury. This information has transformed all aspects of concussion management, from on-field evaluation through return-to-play guidelines. The aim of this article is to highlight important research regarding predictors of outcome and treatment protocols. This research has been the basis of the paradigm shift from traditional concussion grading scales to individualized care. Today, concussion management requires a patient-centered approach with individualized assessment, including risk factor analysis, neurocognitive testing, and a thorough symptom evaluation.

The importance of campaign saliency as a predictor of attitude and behavior change: A pilot evaluation of social marketing campaign Fat Talk Free Week.

PubMed

Garnett, Bernice Raveche; Buelow, Robert; Franko, Debra L; Becker, Carolyn; Rodgers, Rachel F; Austin, S Bryn

2014-01-01

Fat Talk Free Week (FTFW), a social marketing campaign designed to decrease self-disparaging talk about body and weight, has not yet been evaluated. We conducted a theory-informed pilot evaluation of FTFW with two college samples using a pre- and posttest design. Aligned with the central tenets of the Elaboration Likelihood Model (ELM), we investigated the importance of FTFW saliency as a predictor of fat talk behavior change. Our analytic sample consisted of 118 female participants (83% of original sample). Approximately 76% of the sample was non-Hispanic White, 14% Asian, and 8% Hispanic. At baseline, more than 50% of respondents reported engaging in frequent self fat talk; at posttest, this number dropped to 34% of respondents. Multivariable regression models supported campaign saliency as the single strongest predictor of a decrease in self fat talk. Our results support the social diffusion of campaign messages among shared communities, as we found significant decreases in fat talk among campaign attenders and nonattenders. FTFW may be a promising short-term health communication campaign to reduce fat talk, as campaign messages are salient among university women and may encourage interpersonal communication.

Is parenting style a predictor of suicide attempts in a representative sample of adolescents?

PubMed Central

2014-01-01

Background Suicidal ideation and suicide attempts are serious but not rare conditions in adolescents. However, there are several research and practical suicide-prevention initiatives that discuss the possibility of preventing serious self-harm. Profound knowledge about risk and protective factors is therefore necessary. The aim of this study is a) to clarify the role of parenting behavior and parenting styles in adolescents’ suicide attempts and b) to identify other statistically significant and clinically relevant risk and protective factors for suicide attempts in a representative sample of German adolescents. Methods In the years 2007/2008, a representative written survey of N = 44,610 students in the 9th grade of different school types in Germany was conducted. In this survey, the lifetime prevalence of suicide attempts was investigated as well as potential predictors including parenting behavior. A three-step statistical analysis was carried out: I) As basic model, the association between parenting and suicide attempts was explored via binary logistic regression controlled for age and sex. II) The predictive values of 13 additional potential risk/protective factors were analyzed with single binary logistic regression analyses for each predictor alone. Non-significant predictors were excluded in Step III. III) In a multivariate binary logistic regression analysis, all significant predictor variables from Step II and the parenting styles were included after testing for multicollinearity. Results Three parental variables showed a relevant association with suicide attempts in adolescents – (all protective): mother’s warmth and father’s warmth in childhood and mother’s control in adolescence (Step I). In the full model (Step III), Authoritative parenting (protective: OR: .79) and Rejecting-Neglecting parenting (risk: OR: 1.63) were identified as significant predictors (p < .001) for suicidal attempts. Seven further variables were interpreted to be statistically significant and clinically relevant: ADHD, female sex, smoking, Binge Drinking, absenteeism/truancy, migration background, and parental separation events. Conclusions Parenting style does matter. While children of Authoritative parents profit, children of Rejecting-Neglecting parents are put at risk – as we were able to show for suicide attempts in adolescence. Some of the identified risk factors contribute new knowledge and potential areas of intervention for special groups such as migrants or children diagnosed with ADHD. PMID:24766881

Consumer interest in community pharmacy HIV screening services.

PubMed

Darin, Kristin M; Scarsi, Kimberly K; Klepser, Donald G; Klepser, Stephanie A; Reeves, Andrew; Young, Maria; Klepser, Michael E

2015-01-01

To evaluate consumers' interest in pharmacist-provided human immunodeficiency virus (HIV) screening and to evaluate potential barriers and facilitators to HIV screening in the community pharmacy setting. Cross-sectional survey of adult patients who presented to one of five community (chain and independent) pharmacies from November 2010 to August 2011. Based on 380 usable surveys, 135 (35.8%) participants were interested in pharmacy-based HIV screening. Independent predictors of interest in HIV screening identified in multivariate analysis (reference groups: ages 30 to 49 years old and white, non-Hispanic race) included younger age (18 to 29 years old) (odds ratio [OR], 2.48; 95% confidence interval [CI], 1.31 to 4.71); black, non-Hispanic race (OR, 2.37; CI, 1.40 to 4.03); and other race (OR, 4.58; CI, 1.63 to 12.87). Lack of perceived risk for HIV was the most commonly cited barrier to HIV screening; and free, rapid, or confidential HIV testing were identified as potential facilitators. Interest in pharmacy-based HIV screening was high among participants representing age and race groups disproportionately affected by HIV. Expansion of HIV screening efforts to community pharmacies warrants further consideration.

Delayed Ego Strength Development in Opioid Dependent Adolescents and Young Adults.

PubMed

Abramoff, Benjamin A; Lange, Hannah L H; Matson, Steven C; Cottrill, Casey B; Bridge, Jeffrey A; Abdel-Rasoul, Mahmoud; Bonny, Andrea E

2015-01-01

Objective. To evaluate ego strengths, in the context of Erikson's framework, among adolescents and young adults diagnosed with opioid dependence as compared to non-drug using youth. Methods. Opioid dependent (n = 51) and non-drug using control (n = 31) youth completed the self-administered Psychosocial Inventory of Ego Strengths (PIES). The PIES assesses development in the framework of Erikson's ego strength stages. Multivariate linear regression modeling assessed the independent association of the primary covariate (opioid dependent versus control) as well as potential confounding variables (e.g., psychiatric comorbidities, intelligence) with total PIES score. Results. Mean total PIES score was significantly lower in opioid dependent youth (231.65 ± 30.39 opioid dependent versus 270.67 ± 30.06 control; p < 0.01). Evaluation of the PIES subscores found significant (p < 0.05) delays in all ego strength areas (hope, will, purpose, competence, fidelity, love, care, and wisdom). When adjusting for potential confounders, opioid dependence remained a significant (p < 0.001) independent predictor of total PIES score. Conclusion. Adolescents with opioid dependence demonstrated significant delays in ego strength development. A treatment approach acknowledging this delay may be needed in the counseling and treatment of adolescents with opioid dependence.

Delayed Ego Strength Development in Opioid Dependent Adolescents and Young Adults

PubMed Central

Abramoff, Benjamin A.; Lange, Hannah L. H.; Matson, Steven C.; Cottrill, Casey B.; Bridge, Jeffrey A.; Abdel-Rasoul, Mahmoud; Bonny, Andrea E.

2015-01-01

Objective. To evaluate ego strengths, in the context of Erikson's framework, among adolescents and young adults diagnosed with opioid dependence as compared to non-drug using youth. Methods. Opioid dependent (n = 51) and non-drug using control (n = 31) youth completed the self-administered Psychosocial Inventory of Ego Strengths (PIES). The PIES assesses development in the framework of Erikson's ego strength stages. Multivariate linear regression modeling assessed the independent association of the primary covariate (opioid dependent versus control) as well as potential confounding variables (e.g., psychiatric comorbidities, intelligence) with total PIES score. Results. Mean total PIES score was significantly lower in opioid dependent youth (231.65 ± 30.39 opioid dependent versus 270.67 ± 30.06 control; p < 0.01). Evaluation of the PIES subscores found significant (p < 0.05) delays in all ego strength areas (hope, will, purpose, competence, fidelity, love, care, and wisdom). When adjusting for potential confounders, opioid dependence remained a significant (p < 0.001) independent predictor of total PIES score. Conclusion. Adolescents with opioid dependence demonstrated significant delays in ego strength development. A treatment approach acknowledging this delay may be needed in the counseling and treatment of adolescents with opioid dependence. PMID:26664819

Predictors of Participation of Sophomore Medical Students in a Health-Promoting Intervention: An Observational Study

PubMed Central

Kötter, Thomas; Ritter, Johanna; Katalinic, Alexander; Voltmer, Edgar

2016-01-01

Medical students and doctors have to be particularly stress-resilient, as both medical education and practice are considered very stressful. Specific stressors can lead to increased risks of developing, for example, depression, anxiety and burnout. Relaxation techniques have proven to be effective for the prevention of these outcomes in student populations. However, only a very few medical students practice relaxation techniques regularly early on in their studies. Furthermore, it is unclear which students make use of stress-management offers and hence whether vulnerable students are generally reachable. Therefore, the aim of our study was to explore predictors of participating in a voluntary stress management course for sophomore medical students. One cohort of freshmen at a German medical school was surveyed at the end of the freshman year [t1] and at the end of the sophomore year [t2]. In addition to sociodemographic information, we captured perceived study stress, self-rated general health and mental health and dimensions of study-related behaviour and experience as potential predictors of participation at t1. During the sophomore year, we offered the participants a progressive muscle relaxation (PMR) beginners’ course. At t2, we registered participation status. We used binary logistic regression analyses in order to assess correlations between potential predictors and participation. About one third of the whole class took part in the course. The main reason for non-participation was “no time”. Being female and higher levels of anxiety were the strongest predictors of course participation. Career ambition (the higher, the less likely to participate) and emotional distancing (the higher, the more likely to participate) were further significant predictors. Future interventions should be attractive to both male and female medical students. Ideally, for every hour of stress management teaching, the curriculum should be cut by at least the same amount of time. PMID:27942029

Development of a sugar-binding residue prediction system from protein sequences using support vector machine.

PubMed

Banno, Masaki; Komiyama, Yusuke; Cao, Wei; Oku, Yuya; Ueki, Kokoro; Sumikoshi, Kazuya; Nakamura, Shugo; Terada, Tohru; Shimizu, Kentaro

2017-02-01

Several methods have been proposed for protein-sugar binding site prediction using machine learning algorithms. However, they are not effective to learn various properties of binding site residues caused by various interactions between proteins and sugars. In this study, we classified sugars into acidic and nonacidic sugars and showed that their binding sites have different amino acid occurrence frequencies. By using this result, we developed sugar-binding residue predictors dedicated to the two classes of sugars: an acid sugar binding predictor and a nonacidic sugar binding predictor. We also developed a combination predictor which combines the results of the two predictors. We showed that when a sugar is known to be an acidic sugar, the acidic sugar binding predictor achieves the best performance, and showed that when a sugar is known to be a nonacidic sugar or is not known to be either of the two classes, the combination predictor achieves the best performance. Our method uses only amino acid sequences for prediction. Support vector machine was used as a machine learning algorithm and the position-specific scoring matrix created by the position-specific iterative basic local alignment search tool was used as the feature vector. We evaluated the performance of the predictors using five-fold cross-validation. We have launched our system, as an open source freeware tool on the GitHub repository (https://doi.org/10.5281/zenodo.61513). Copyright © 2016 The Authors. Published by Elsevier Ltd.. All rights reserved.

Predictive displays for a process-control schematic interface.

PubMed

Yin, Shanqing; Wickens, Christopher D; Helander, Martin; Laberge, Jason C

2015-02-01

Our objective was to examine the extent to which increasing precision of predictive (rate of change) information in process control will improve performance on a simulated process-control task. Predictive displays have been found to be useful in process control (as well as aviation and maritime industries). However, authors of prior research have not examined the extent to which predictive value is increased by increasing predictor resolution, nor has such research tied potential improvements to changes in process control strategy. Fifty nonprofessional participants each controlled a simulated chemical mixture process (honey mixer simulation) that simulated the operations found in process control. Participants in each of five groups controlled with either no predictor or a predictor ranging in the resolution of prediction of the process. Increasing detail resolution generally increased the benefit of prediction over the control condition although not monotonically so. The best overall performance, combining quality and predictive ability, was obtained by the display of intermediate resolution. The two displays with the lowest resolution were clearly inferior. Predictors with higher resolution are of value but may trade off enhanced sensitivity to variable change (lower-resolution discrete state predictor) with smoother control action (higher-resolution continuous predictors). The research provides guidelines to the process-control industry regarding displays that can most improve operator performance.

IQ Is Not Strongly Related to Response to Reading Instruction: A Meta-Analytic Interpretation

ERIC Educational Resources Information Center

Stuebing, Karla K.; Barth, Amy E.; Molfese, Peter J.; Weiss, Brandon; Fletcher, Jack M.

2009-01-01

A meta-analysis of 22 studies evaluating the relation of different assessments of IQ and intervention response did not support the hypothesis that IQ is an important predictor of response to instruction. We found an R[superscript 2] of 0.03 in models with IQ and the autoregressor as predictors and a unique lower estimated R[superscript 2] of 0.006…

Predictors of professional behaviour and academic outcomes in a UK medical school: A longitudinal cohort study.

PubMed

Adam, Jane; Bore, Miles; Childs, Roy; Dunn, Jason; Mckendree, Jean; Munro, Don; Powis, David

2015-01-01

Over the past 70 years, there has been a recurring debate in the literature and in the popular press about how best to select medical students. This implies that we are still not getting it right: either some students are unsuited to medicine or the graduating doctors are considered unsatisfactory, or both. To determine whether particular variables at the point of selection might distinguish those more likely to become satisfactory professional doctors, by following a complete intake cohort of students throughout medical school and analysing all the data used for the students' selection, their performance on a range of other potential selection tests, academic and clinical assessments throughout their studies, and records of professional behaviour covering the entire five years of the course. A longitudinal database captured the following anonymised information for every student (n = 146) admitted in 2007 to the Hull York Medical School (HYMS) in the UK: demographic data (age, sex, citizenship); performance in each component of the selection procedure; performance in some other possible selection instruments (cognitive and non-cognitive psychometric tests); professional behaviour in tutorials and in other clinical settings; academic performance, clinical and communication skills at summative assessments throughout; professional behaviour lapses monitored routinely as part of the fitness-to-practise procedures. Correlations were sought between predictor variables and criterion variables chosen to demonstrate the full range of course outcomes from failure to complete the course to graduation with honours, and to reveal clinical and professional strengths and weaknesses. Student demography was found to be an important predictor of outcomes, with females, younger students and British citizens performing better overall. The selection variable "HYMS academic score", based on prior academic performance, was a significant predictor of components of Year 4 written and Year 5 clinical examinations. Some cognitive subtest scores from the UK Clinical Aptitude Test (UKCAT) and the UKCAT total score were also significant predictors of the same components, and a unique predictor of the Year 5 written examination. A number of the non-cognitive tests were significant independent predictors of Years 4 and 5 clinical performance, and of lapses in professional behaviour. First- and second-year tutor ratings were significant predictors of all outcomes, both desirable and undesirable. Performance in Years 1 and 2 written exams did not predict performance in Year 4 but did generally predict Year 5 written and clinical performance. Measures of a range of relevant selection attributes and personal qualities can predict intermediate and end of course achievements in academic, clinical and professional behaviour domains. In this study HYMS academic score, some UKCAT subtest scores and the total UKCAT score, and some non-cognitive tests completed at the outset of studies, together predicted outcomes most comprehensively. Tutor evaluation of students early in the course also identified the more and less successful students in the three domains of academic, clinical and professional performance. These results may be helpful in informing the future development of selection tools.

Post-Loop Electrosurgical Excision Procedure Complications in Srinagarind Hospital.

PubMed

Maleerat, Pimjai; Chumworathayi, Bandit; Kietpeerakool, Chumnan; Luanratanakorn, Sanguanchoke; Temtanakitpaisan, Amornrat

2016-01-01

The purpose of this study was to evaluate the prevalence and predictors of post-Loop Electrosurgical Excision Procedure (LEEP) complications in Srinagarind Hospital, Khon Kaen, Thailand. Retrospective chart review was performed for 200 patients undergoing LEEP during January 2012 to February 2013. Their mean age was 45 years-old. Fifty-three (26.5%) were menopausal. The three most common preceding abnormal cervical cytology were high-grade squamous intraepithelial lesion (HSIL; 50%), atypical squamous cell cannot exclude HSIL (ASC-H; 10.5%), and low-grade squamous intraepithelial lesion (LSIL; 10%). The overall complications prevalence rate was 16.5% (95%CI, 11.4-21.6). Complications included bleeding (11%; 95%CI, 6.66-15.3), offensive discharge (4%; 95%CI, 1.28-6.72), and pelvic inflammatory disease (1.5%; 95%CI, 0.18-3.18). Only mode of delivery was an independent predictor of post-LEEP complications. Women with previous caesarean sections carried an increased risk of complications by 3.9 times (95%CI, 1.21-12.56) compared with vaginal delivery. In conclusion, LEEP is generally safe with an acceptable complication rate. Previous caesarean section was the only independent predictor for post-LEEP complications. However, this predictor still needs prudent evaluation as no clear cause-effect relationship was identified.

Critical evaluation of five methods for quantifying chewing lice (Insecta: Phthiraptera).

PubMed

Clayton, D H; Drown, D M

2001-12-01

Five methods for estimating the abundance of chewing lice (Insecta: Phthiraptera) were tested. To evaluate the methods, feral pigeons (Columba livia) and 2 species of ischnoceran lice were used. The fraction of lice removed by each method was compared, and least squares linear regression was used to determine how well each method predicted total abundance. Total abundance was assessed in most cases using KOH dissolution. The 2 methods involving dead birds (body washing and post-mortem-ruffling) provided better results than 3 methods involving live birds (dust-ruffling, fumigation chambers, and visual examination). Body washing removed the largest fraction of lice (>82%) and was an extremely accurate predictor of total abundance (r2 = 0.99). Post-mortem-ruffling was also an accurate predictor of total abundance (r2 > or = 0.88), even though it removed a smaller proportion of lice (<70%) than body washing. Dust-ruffling and fumigation chambers removed even fewer lice, but were still reasonably accurate predictors of total abundance, except in the case of data sets restricted to birds with relatively few lice. Visual examination, the only method not requiring that lice be removed from the host, was an accurate predictor of louse abundance, except in the case of wing lice on lightly parasitized birds.

Root anatomical phenes predict root penetration ability and biomechanical properties in maize (Zea Mays)

PubMed Central

Chimungu, Joseph G.; Loades, Kenneth W.; Lynch, Jonathan P.

2015-01-01

The ability of roots to penetrate hard soil is important for crop productivity but specific root phenes contributing to this ability are poorly understood. Root penetrability and biomechanical properties are likely to vary in the root system dependent on anatomical structure. No information is available to date on the influence of root anatomical phenes on root penetrability and biomechanics. Root penetration ability was evaluated using a wax layer system. Root tensile and bending strength were evaluated in plant roots grown in the greenhouse and in the field. Root anatomical phenes were found to be better predictors of root penetrability than root diameter per se and associated with smaller distal cortical region cell size. Smaller outer cortical region cells play an important role in stabilizing the root against ovalization and reducing the risk of local buckling and collapse during penetration, thereby increasing root penetration of hard layers. The use of stele diameter was found to be a better predictor of root tensile strength than root diameter. Cortical thickness, cortical cell count, cortical cell wall area and distal cortical cell size were stronger predictors of root bend strength than root diameter. Our results indicate that root anatomical phenes are important predictors for root penetrability of high-strength layers and root biomechanical properties. PMID:25903914

Laying the Groundwork for NCLEX Success: An Exploration of Adaptive Quizzing as an Examination Preparation Method.

PubMed

Cox-Davenport, Rebecca A; Phelan, Julia C

2015-05-01

First-time NCLEX-RN pass rates are an important indicator of nursing school success and quality. Nursing schools use different methods to anticipate NCLEX outcomes and help prevent student failure and possible threat to accreditation. This study evaluated the impact of a shift in NCLEX preparation policy at a BSN program in the southeast United States. The policy shifted from the use of predictor score thresholds to determine graduation eligibility to a more proactive remediation strategy involving adaptive quizzing. A descriptive correlational design evaluated the impact of an adaptive quizzing system designed to give students ongoing active practice and feedback and explored the relationship between predictor examinations and NCLEX success. Data from student usage of the system as well as scores on predictor tests were collected for three student cohorts. Results revealed a positive correlation between adaptive quizzing system usage and content mastery. Two of the 69 students in the sample did not pass the NCLEX. With so few students failing the NCLEX, predictability of any course variables could not be determined. The power of predictor examinations to predict NCLEX failure could also not be supported. The most consistent factor among students, however, was their content mastery level within the adaptive quizzing system. Implications of these findings are discussed.

Predictors and effects of patellofemoral pain following hamstring-tendon ACL reconstruction.

PubMed

Culvenor, Adam G; Collins, Natalie J; Vicenzino, Bill; Cook, Jill L; Whitehead, Timothy S; Morris, Hayden G; Crossley, Kay M

2016-07-01

Patellofemoral pain is a frequent and troublesome complication following anterior cruciate ligament reconstruction (ACLR), irrespective of graft source. Yet, little is known about the factors associated with patellofemoral pain following hamstring-tendon ACLR. Retrospective analysis of potential patellofemoral pain predictors, and cross-sectional analysis of possible patellofemoral pain consequences. Potential predictors (pre-injury patellofemoral pain and activity level, concomitant patellofemoral cartilage damage and meniscectomy, age, sex, and surgical delay) and consequences (hopping performance, quality of life, kinesiophobia, and return to sport rates and attitudes) of patellofemoral pain 12 months following hamstring-tendon ACLR were assessed in 110 participants using univariate and multivariate analyses. Thirty-three participants (30%) had patellofemoral pain at 12 months post-ACLR. Older age at the time of ACLR was the only predictor of post-operative patellofemoral pain. Following ACLR, those with patellofemoral pain had a higher body mass index, and worse physical performance, quality of life, kinesiophobia and return to sport attitudes. Patellofemoral pain has a significant burden on individuals 12 months following hamstring-tendon ACLR. Clinicians need to be cognisant of patellofemoral pain, particularly in older individuals and those with a higher body mass index. The importance of considering psychological factors that are not typically addressed during ACLR rehabilitation, such as kinesiophobia, quality of life and return to sport attitudes is emphasised. Copyright © 2016. Published by Elsevier Ltd.

Patient predictors of response to cognitive behaviour therapy and schema therapy for depression.

PubMed

Carter, Janet D; McIntosh, Virginia Vw; Jordan, Jennifer; Porter, Richard J; Douglas, Katie; Frampton, Christopher M; Joyce, Peter R

2018-01-01

Few studies have examined differential predictors of response to psychotherapy for depression. Greater understanding about the factors associated with therapeutic response may better enable therapists to optimise response by targeting therapy for the individual. The aim of the current exploratory study was to examine patient characteristics associated with response to cognitive behaviour therapy and schema therapy for depression. Participants were 100 outpatients in a clinical trial randomised to either cognitive behaviour therapy or schema therapy. Potential predictors of response examined included demographic, clinical, functioning, cognitive, personality and neuropsychological variables. Individuals with chronic depression and increased levels of pre-treatment negative automatic thoughts had a poorer response to both cognitive behaviour therapy and schema therapy. A treatment type interaction was found for verbal learning and memory. Lower levels of verbal learning and memory impairment markedly impacted on response to schema therapy. This was not the case for cognitive behaviour therapy, which was more impacted if verbal learning and memory was in the moderate range. Study findings are consistent with the Capitalisation Model suggesting that therapy that focuses on the person's strengths is more likely to contribute to a better outcome. Limitations were that participants were outpatients in a randomised controlled trial and may not be representative of other depressed samples. Examination of a variety of potential predictors was exploratory and requires replication.

Potential predictability of a Colombian river flow

NASA Astrophysics Data System (ADS)

Córdoba-Machado, Samir; Palomino-Lemus, Reiner; Quishpe-Vásquez, César; García-Valdecasas-Ojeda, Matilde; Raquel Gámiz-Fortis, Sonia; Castro-Díez, Yolanda; Jesús Esteban-Parra, María

2017-04-01

In this study the predictability of an important Colombian river (Cauca) has been analysed based on the use of climatic variables as potential predictors. Cauca River is considered one of the most important rivers of Colombia because its basin supports important productive activities related with the agriculture, such as the production of coffee or sugar. Potential relationships between the Cauca River seasonal streamflow anomalies and different climatic variables such as sea surface temperature (SST), precipitation (Pt), temperature over land (Tm) and soil water (Sw) have been analysed for the period 1949-2009. For this end, moving correlation analysis of 30 years have been carried out for lags from one to four seasons for the global SST, and from one to two seasons for South America Pt, Tm and Sw. Also, the stability of the significant correlations have been also studied, identifying the regions used as potential predictors of streamflow. Finally, in order to establish a prediction scheme based on the previous stable correlations, a Principal Component Analysis (PCA) applied on the potential predictor regions has been carried out in order to obtain a representative time series for each predictor field. Significant and stable correlations between the seasonal streamflow and the tropical Pacific SST (El Niño region) are found for lags from one to four (one-year) season. Additionally, some regions in the Indian and Atlantic Oceans also show significant and stable correlations at different lags, highlighting the importance that exerts the Atlantic SST on the hydrology of Colombia. Also significant and stable correlations are found with the Pt, Tm and Sw for some regions over South America, at lags of one and two seasons. The prediction of Cauca seasonal streamflow based on this scheme shows an acceptable skill and represents a relative improvement compared with the predictability obtained using the teleconnection indices associated with El Niño. Keywords: Streamflow, predictability, Cauca, Colombia. Acknowledgements: This work has been financed by the projects P11-RNM-7941 (Junta de Andalucía-Spain) and CGL2013-48539-R (MINECO-Spain, FEDER).

Anodic microbial community diversity as a predictor of the power output of microbial fuel cells.

PubMed

Stratford, James P; Beecroft, Nelli J; Slade, Robert C T; Grüning, André; Avignone-Rossa, Claudio

2014-03-01

The relationship between the diversity of mixed-species microbial consortia and their electrogenic potential in the anodes of microbial fuel cells was examined using different diversity measures as predictors. Identical microbial fuel cells were sampled at multiple time-points. Biofilm and suspension communities were analysed by denaturing gradient gel electrophoresis to calculate the number and relative abundance of species. Shannon and Simpson indices and richness were examined for association with power using bivariate and multiple linear regression, with biofilm DNA as an additional variable. In simple bivariate regressions, the correlation of Shannon diversity of the biofilm and power is stronger (r=0.65, p=0.001) than between power and richness (r=0.39, p=0.076), or between power and the Simpson index (r=0.5, p=0.018). Using Shannon diversity and biofilm DNA as predictors of power, a regression model can be constructed (r=0.73, p<0.001). Ecological parameters such as the Shannon index are predictive of the electrogenic potential of microbial communities. Copyright © 2014 Elsevier Ltd. All rights reserved.

Predictors of adverse neonatal outcomes in intrahepatic cholestasis of pregnancy.

PubMed

Kawakita, Tetsuya; Parikh, Laura I; Ramsey, Patrick S; Huang, Chun-Chih; Zeymo, Alexander; Fernandez, Miguel; Smith, Samuel; Iqbal, Sara N

2015-10-01

We sought to determine predictors of adverse neonatal outcomes in women with intrahepatic cholestasis of pregnancy (ICP). This study was a multicenter retrospective cohort study of all women diagnosed with ICP across 5 hospital facilities from January 2009 through December 2014. Obstetric and neonatal complications were evaluated according to total bile acid (TBA) level. Multivariable logistic regression models were developed to evaluate predictors of composite neonatal outcome (neonatal intensive care unit admission, hypoglycemia, hyperbilirubinemia, respiratory distress syndrome, transient tachypnea of the newborn, mechanical ventilation use, oxygen by nasal cannula, pneumonia, and stillbirth). Predictors including TBA level, hepatic transaminase level, gestational age at diagnosis, underlying liver disease, and use of ursodeoxycholic acid were evaluated. Of 233 women with ICP, 152 women had TBA levels 10-39.9 μmol/L, 55 had TBA 40-99.9 μmol/L, and 26 had TBA ≥100 μmol/L. There was no difference in maternal age, ethnicity, or prepregnancy body mass index according to TBA level. Increasing TBA level was associated with higher hepatic transaminase and total bilirubin level (P < .05). TBA levels ≥100 μmol/L were associated with increased risk of stillbirth (P < .01). Increasing TBA level was also associated with earlier gestational age at diagnosis (P < .01) and ursodeoxycholic acid use (P = .02). After adjusting for confounders, no predictors were associated with composite neonatal morbidity. TBA 40-99.9 μmol/L and TBA ≥100 μmol/L were associated with increased risk of meconium-stained amniotic fluid (adjusted odds ratio, 3.55; 95% confidence interval, 1.45-8.68 and adjusted odds ratio, 4.55; 95% confidence interval, 1.47-14.08, respectively). In women with ICP, TBA level ≥100 μmol/L was associated with increased risk of stillbirth. TBA ≥40 μmol/L was associated with increased risk of meconium-stained amniotic fluid. Copyright © 2015 Elsevier Inc. All rights reserved.

Forest Type and Above Ground Biomass Estimation Based on Sentinel-2A and WorldView-2 Data Evaluation of Predictor nd Data Suitability

NASA Astrophysics Data System (ADS)

Fritz, Andreas; Enßle, Fabian; Zhang, Xiaoli; Koch, Barbara

2016-08-01

The present study analyses the two earth observation sensors regarding their capability of modelling forest above ground biomass and forest density. Our research is carried out at two different demonstration sites. The first is located in south-western Germany (region Karlsruhe) and the second is located in southern China in Jiangle County (Province Fujian). A set of spectral and spatial predictors are computed from both, Sentinel-2A and WorldView-2 data. Window sizes in the range of 3*3 pixels to 21*21 pixels are computed in order to cover the full range of the canopy sizes of mature forest stands. Textural predictors of first and second order (grey-level-co-occurrence matrix) are calculated and are further used within a feature selection procedure. Additionally common spectral predictors from WorldView-2 and Sentinel-2A data such as all relevant spectral bands and NDVI are integrated in the analyses. To examine the most important predictors, a predictor selection algorithm is applied to the data, whereas the entire predictor set of more than 1000 predictors is used to find most important ones. Out of the original set only the most important predictors are then further analysed. Predictor selection is done with the Boruta package in R (Kursa and Rudnicki (2010)), whereas regression is computed with random forest. Prior the classification and regression a tuning of parameters is done by a repetitive model selection (100 runs), based on the .632 bootstrapping. Both are implemented in the caret R pack- age (Kuhn et al. (2016)). To account for the variability in the data set 100 independent runs are performed. Within each run 80 percent of the data is used for training and the 20 percent are used for an independent validation. With the subset of original predictors mapping of above ground biomass is performed.

PredictSNP2: A Unified Platform for Accurately Evaluating SNP Effects by Exploiting the Different Characteristics of Variants in Distinct Genomic Regions

PubMed Central

Brezovský, Jan

2016-01-01

An important message taken from human genome sequencing projects is that the human population exhibits approximately 99.9% genetic similarity. Variations in the remaining parts of the genome determine our identity, trace our history and reveal our heritage. The precise delineation of phenotypically causal variants plays a key role in providing accurate personalized diagnosis, prognosis, and treatment of inherited diseases. Several computational methods for achieving such delineation have been reported recently. However, their ability to pinpoint potentially deleterious variants is limited by the fact that their mechanisms of prediction do not account for the existence of different categories of variants. Consequently, their output is biased towards the variant categories that are most strongly represented in the variant databases. Moreover, most such methods provide numeric scores but not binary predictions of the deleteriousness of variants or confidence scores that would be more easily understood by users. We have constructed three datasets covering different types of disease-related variants, which were divided across five categories: (i) regulatory, (ii) splicing, (iii) missense, (iv) synonymous, and (v) nonsense variants. These datasets were used to develop category-optimal decision thresholds and to evaluate six tools for variant prioritization: CADD, DANN, FATHMM, FitCons, FunSeq2 and GWAVA. This evaluation revealed some important advantages of the category-based approach. The results obtained with the five best-performing tools were then combined into a consensus score. Additional comparative analyses showed that in the case of missense variations, protein-based predictors perform better than DNA sequence-based predictors. A user-friendly web interface was developed that provides easy access to the five tools’ predictions, and their consensus scores, in a user-understandable format tailored to the specific features of different categories of variations. To enable comprehensive evaluation of variants, the predictions are complemented with annotations from eight databases. The web server is freely available to the community at http://loschmidt.chemi.muni.cz/predictsnp2. PMID:27224906

SU-E-J-267: Change in Mean CT Intensity of Lung Tumors During Radiation Treatment

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

Mahon, R; Tennyson, N; Weiss, E

2015-06-15

Purpose: To evaluate CT intensity change of lung tumors during radiation therapy. Methods: Repeated 4D CT images were acquired on a CT simulator during the course of therapy for 27 lung cancer patients on IRB approved protocols. All subjects received definitive radiation treatment ± chemotherapy. CT scans were completed prior to treatment, and 2–7 times during the treatment course. Primary tumor was delineated by an experienced Radiation Oncologist. Contours were thresholded between −100 HU and 200 HU to remove airways and bone. Correlations between the change in the mean tumor intensity and initial tumor intensity, SUVmax, and tumor volume changemore » rate were investigated. Reproducibility was assessed by evaluating the variation in mean intensity over all phases in 4DCT, for a subgroup of 19 subjects. Results: Reproducibility of tumor intensity between phases as characterized by the root mean square of standard deviation across 19 subjects was 1.8 HU. Subjects had a mean initial tumor intensity of 16.5 ± 11.6 HU and an overall reduction in HU by 10.3 ± 8.5 HU. Evaluation of the changes in tumor intensity during treatment showed a decrease of 0.3 ± 0.3 HU/day for all subjects, except three. No significant correlation was found between change in HU/day and initial HU intensity (p=0.53), initial PET SUVmax (p=0.69), or initial tumor volume (p=0.70). The rate of tumor volume change was weakly correlated (R{sup 2}=0.05) with HU change (p=0.01). Conclusion: Most lung cancer subjects showed a marked trend of decreasing mean tumor CT intensity throughout radiotherapy, including early in the treatment course. Change in HU/day is not correlated with other potential early predictors for response, such as SUV and tumor volume change. This Result supports future studies to evaluate change in tumor intensity on CT as an early predictor of response.« less

PredictSNP2: A Unified Platform for Accurately Evaluating SNP Effects by Exploiting the Different Characteristics of Variants in Distinct Genomic Regions.

PubMed

Bendl, Jaroslav; Musil, Miloš; Štourač, Jan; Zendulka, Jaroslav; Damborský, Jiří; Brezovský, Jan

2016-05-01

An important message taken from human genome sequencing projects is that the human population exhibits approximately 99.9% genetic similarity. Variations in the remaining parts of the genome determine our identity, trace our history and reveal our heritage. The precise delineation of phenotypically causal variants plays a key role in providing accurate personalized diagnosis, prognosis, and treatment of inherited diseases. Several computational methods for achieving such delineation have been reported recently. However, their ability to pinpoint potentially deleterious variants is limited by the fact that their mechanisms of prediction do not account for the existence of different categories of variants. Consequently, their output is biased towards the variant categories that are most strongly represented in the variant databases. Moreover, most such methods provide numeric scores but not binary predictions of the deleteriousness of variants or confidence scores that would be more easily understood by users. We have constructed three datasets covering different types of disease-related variants, which were divided across five categories: (i) regulatory, (ii) splicing, (iii) missense, (iv) synonymous, and (v) nonsense variants. These datasets were used to develop category-optimal decision thresholds and to evaluate six tools for variant prioritization: CADD, DANN, FATHMM, FitCons, FunSeq2 and GWAVA. This evaluation revealed some important advantages of the category-based approach. The results obtained with the five best-performing tools were then combined into a consensus score. Additional comparative analyses showed that in the case of missense variations, protein-based predictors perform better than DNA sequence-based predictors. A user-friendly web interface was developed that provides easy access to the five tools' predictions, and their consensus scores, in a user-understandable format tailored to the specific features of different categories of variations. To enable comprehensive evaluation of variants, the predictions are complemented with annotations from eight databases. The web server is freely available to the community at http://loschmidt.chemi.muni.cz/predictsnp2.

You and me: Investigating the role of self-evaluative emotion in preschool prosociality.

PubMed

Ross, Josephine

2017-03-01

Self-evaluative emotions depend on internalized social standards and motivate social action. However, there is a lack of empirical research documenting the impact of self-evaluative emotion on 3- and 4-year-olds' prosociality. Extant research relates children's experiences of guilt to empathetic concern and making amends. However, the relationship between guilt and both concern and making amends is potentially reductive. Empathetic concern involves similar bodily expressions to guilt, and amend making is used to distinguish guilt from shame in children. This is the first study to relate the development of both positive and negative self-evaluative emotions to empathetic concern and prosocial choice (making amends and spontaneous help). Results confirm that the broad capacity for self-evaluative emotion is established during the preschool years and relates to empathetic concern. Moreover, these social emotions can be used to predict prosocial choice. Making amends was best predicted by empathetic concern and by children's responses to achievement (pride following success and lack of shame following failure). Alongside moral pride, pride in response to achievement and resilience to shame was also the best predictor of spontaneous help. The data support the idea that young children's prosocial choices may be partially driven by the affective drive to maintain an "ideal" self. Psychologists have emphasized that in order to be adaptive, self-evaluative emotion should be guilt oriented rather than shame oriented. However, the adaptive role of pride has been neglected. We call on future research to redress the focus on negative self-evaluation in moral development and further explore the prosocial potential of pride. Copyright © 2016 Elsevier Inc. All rights reserved.

Ethylglucuronide in hair is a top predictor of impaired driving recidivism, alcohol dependence, and a key marker of the highest BAC interlock tests.

PubMed

Marques, Paul R; Tippetts, A Scott; Yegles, Michel

2014-01-01

This study focuses on the predictive and comparative significance of ethyl glucuronide measured in head hair (hEtG) for estimating risks associated with alcohol-impaired driving offenders. Earlier work compared different alcohol biomarkers for estimating rates of failed blood alcohol concentration (BAC) tests logged during 8 months of interlock participation. These analyses evaluate the comparative performance of several alcohol markers including hEtG and other markers, past driver records, and psychometric assessment predictors for the detection of 4 criteria: new driving under the influence (DUI) recidivism, alcohol dependence, and interlock record variables including fail rates and maximal interlock BACs logged. Drivers charged with alcohol impairment (DUI) in Alberta, Canada (n = 534; 64% first offenders, 36% multiple offenders) installed ignition interlock devices and consented to participate in research to evaluate blood-, hair-, and urine-derived alcohol biomarkers; sit for interviews; take psychometric assessments; and permit analyses of driving records and interlock log files. Subject variables included demographics, alcohol dependence at program entry, preprogram prior DUI convictions, postenrollment new DUI convictions, self-reported drinking assessments, morning and overall rates of failed interlock BAC tests, and maximal interlock BAC readings. Recidivism, dependence, high BAC, and combined fail rates were set as criteria; other variables were set as predictors. Area under the receiver operating characteristics (ROC) curve (A') estimates of sensitivity and specificity were calculated. Additional analyses were conducted on baseline hEtG levels. Driver performance and drinking indicators were evaluated against the standard hEtG cutoff for excessive drinking at (30 pg/mg) and a higher criterion of 50 pg/mg. HEtG splits were evaluated with the Mann-Whitney rank statistic. HEtG emerged as a top overall predictor for discriminating new recidivism events that occur after interlock installation, for entry alcohol dependence, and for the highest interlock BACs recorded. Together, hEtG and phosphatidylethanol (PEth) were the top predictors of all criterion measures. By contrast, the hair-derived alcohol biomarkers hEtG and hFAEE (fatty acid ethyl esters) were poorer than other alcohol biomarkers as detectors of interlock BAC test fail rates. This study showed that hEtG, an objective alternative to often unreliable self-reported past representation of drinking levels, yields crucial insight into driver alcohol-related risks early in an interlock program and is a top predictor of new recidivist events. Together with PEth, these markers would be excellent anchors in a panel for detecting alcohol consumption.

Topographic and Bioclimatic Determinants of the Occurrence of Forest and Grassland in Tropical Montane Forest-Grassland Mosaics of the Western Ghats, India

PubMed Central

Das, Arundhati; Nagendra, Harini; Anand, Madhur; Bunyan, Milind

2015-01-01

The objective of this analysis was to identify topographic and bioclimatic factors that predict occurrence of forest and grassland patches within tropical montane forest-grassland mosaics. We further investigated whether interactions between topography and bioclimate are important in determining vegetation pattern, and assessed the role of spatial scale in determining the relative importance of specific topographic features. Finally, we assessed the role of elevation in determining the relative importance of diverse explanatory factors. The study area consists of the central and southern regions of the Western Ghats of Southern India, a global biodiversity hotspot. Random forests were used to assess prediction accuracy and predictor importance. Conditional inference classification trees were used to interpret predictor effects and examine potential interactions between predictors. GLMs were used to confirm predictor importance and assess the strength of interaction terms. Overall, topographic and bioclimatic predictors classified vegetation pattern with approximately 70% accuracy. Prediction accuracy was higher for grassland than forest, and for mosaics at higher elevations. Elevation was the most important predictor, with mosaics above 2000m dominated largely by grassland. Relative topographic position measured at a local scale (within a 300m neighbourhood) was another important predictor of vegetation pattern. In high elevation mosaics, northness and concave land surface curvature were important predictors of forest occurrence. Important bioclimatic predictors were: dry quarter precipitation, annual temperature range and the interaction between the two. The results indicate complex interactions between topography and bioclimate and among topographic variables. Elevation and topography have a strong influence on vegetation pattern in these mosaics. There were marked regional differences in the roles of various topographic and bioclimatic predictors across the range of study mosaics, indicating that the same pattern of grass and forest seems to be generated by different sets of mechanisms across the region, depending on spatial scale and elevation. PMID:26121353