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Purpose: Using latent class analysis (LCA), we have consistently identified two distinct subphenotypes in four randomized controlled trial cohorts of ARDS. One subphenotype has hyper-inflammatory characteristics and is associated with worse clinical outcomes. Further, within three negative clinical trials, we observed differential treatment response by subphenotype to randomly assigned interventions. The main purpose of this study was to identify ARDS subphenotypes in a contemporary NHLBI Network trial of infection-associated ARDS (SAILS) using LCA and to test for differential treatment response to rosuvastatin therapy in the subphenotypes.Methods: LCA models were constructed using a combination of biomarker and clinical data at baseline in the SAILS study (n = 745). LCA modeling was then repeated using an expanded set of clinical class-defining variables. Subphenotypes were tested for differential treatment response to rosuvastatin.Results: The two-class LCA model best fit the population. Forty percent of the patients were classified as the "hyper-inflammatory" subphenotype. Including additional clinical variables in the LCA models did not identify new classes. Mortality at day 60 and day 90 was higher in the hyper-inflammatory subphenotype. No differences in outcome were observed between hyper-inflammatory patients randomized to rosuvastatin therapy versus placebo.Conclusions: LCA using a two-subphenotype model best described the SAILS population. The subphenotypes have features consistent with those previously reported in four other cohorts. Addition of new class-defining variables in the LCA model did not yield additional subphenotypes. No treatment effect was observed with rosuvastatin. These findings further validate the presence of two subphenotypes and demonstrate their utility for patient stratification in ARDS. [ABSTRACT FROM AUTHOR]

To reduce the phenotypic heterogeneity of obsessive-compulsive disorder (OCD) for genetic, clinical and translational studies, numerous factor analyses of the Yale-Brown Obsessive Compulsive Scale checklist (YBOCS-CL) have been conducted. Results of these analyses have been inconsistent, likely as a consequence of small sample sizes and variable methodologies. Furthermore, data concerning the heritability of the factors are limited. Item and category-level factor analyses of YBOCS-CL items from 1224 OCD subjects were followed by heritability analyses in 52 OCD-affected multigenerational families. Item-level analyses indicated that a five factor model: (1) taboo, (2) contamination/cleaning, (3) doubts, (4) superstitions/rituals, and (5) symmetry/hoarding provided the best fit, followed by a one-factor solution. All 5 factors as well as the one-factor solution were found to be heritable. Bivariate analyses indicated that the taboo and doubts factor, and the contamination and symmetry/hoarding factor share genetic influences. Contamination and symmetry/hoarding show shared genetic variance with symptom severity. Nearly all factors showed shared environmental variance with each other and with symptom severity. These results support the utility of both OCD diagnosis and symptom dimensions in genetic research and clinical contexts. Both shared and unique genetic influences underlie susceptibility to OCD and its symptom dimensions. [ABSTRACT FROM AUTHOR]

Although many individuals applying for political asylum allege maltreatment and sometimes torture in their countries of origin, the utility of medical evaluations in asylum adjudication has not been documented. This study compares the asylum grant rate among US asylum seekers who received medical evaluations from Physicians for Human Rights (PHR), with rates among asylum seekers who did not receive PHR evaluations. Retrospective analysis was carried out on all asylum cases referred to PHR between 2000 and 2004 for medical evaluations for which adjudication outcome was available. Basic demographic information was obtained: age, sex, country of origin, English language ability, US region where adjudication occurred, whether legal representation was pro bono, type of evaluation, provision of oral court testimony, and whether asylum seekers were in detention. Cases were analyzed descriptively and with chi square tests. Between 2000 and 2004, 1663 asylum seekers received medical evaluations from PHR; the adjudication status (either granted or denied) was determined in 746 cases at the time of the study. Of these cases, 89% were granted asylum, compared to the national average of 37.5% among US asylum seekers who did not receive PHR evaluations. Medical evaluations may be critical in the adjudications of asylum cases when maltreatment is alleged. [ABSTRACT FROM AUTHOR]

Objective: The Patient Health Questionnaire depression scale (PHQ-9) is a well-validated, Diagnostic and Statistical Manual of Mental Disorders- Fourth Edition (DSM-IV) criterion-based measure for diagnosing depression, assessing severity and monitoring treatment response. The performance of most depression scales including the PHQ-9, however, has not been rigorously evaluated in different racial/ethnic populations. Therefore, we compared the factor structure of the PHQ-9 between different racial/ethnic groups as well as the rates of endorsement and differential item functioning (DIF) of the 9 items of the PHQ-9. The presence of DIF would indicate that responses to an individual item differ significantly between groups, controlling for the level of depression.Measurements: A combined dataset from 2 separate studies of 5,053 primary care patients including non-Hispanic white (n=2,520), African American (n=598), Chinese American (n=941), and Latino (n=974) patients was used for our analysis. Exploratory principal components factor analysis was used to derive the factor structure of the PHQ-9 in each of the 4 racial/ethnic groups. A generalized Mantel-Haenszel statistic was used to test for DIF.Results: One main factor that included all PHQ-9 items was found in each racial/ethnic group with alpha coefficients ranging from 0.79 to 0.89. Although endorsement rates of individual items were generally similar among the 4 groups, evidence of DIF was found for some items.Conclusions: Our analyses indicate that in African American, Chinese American, Latino, and non-Hispanic white patient groups the PHQ-9 measures a common concept of depression and can be effective for the detection and monitoring of depression in these diverse populations. [ABSTRACT FROM AUTHOR]

OBJECTIVE:: To analyze the relationship between perinatal drug/alcohol use and maternal, fetal, neonatal, and postneonatal mortality. STUDY DESIGN:: Linked California discharge, birth and death certificate data from 1991-1998 were used to identify drug/alcohol-diagnosed births. Mortality relative risk (RR) ratios were calculated and logistic models were generated for mortality outcomes. RESULTS:: Among 4,536,701 birth records, 1.20%contained drug/alcohol discharge diagnostic codes (n=54,290). The unadjusted RRs for maternal (RR=2.7), fetal (RR=1.3), neonatal (RR=2.4), and postneonatal (RR=4.3) mortality were increased for drug/alcohol-diagnosed births. After controlling for potential confounding, the odds of maternal death for cocaine use (OR=2.15) remained significant as did amphetamine (OR=1.77), cocaine (OR=1.43), polydrug (OR=2.01) and other drug/alcohol use (OR=1.79) for postneonatal mortality. CONCLUSIONS:: The association of cocaine use with maternal mortality and any drug/alcohol use with postneonatal mortality supports screening and identifying women using illicit drugs and alcohol during pregnancy. Increased collaboration with drug treatment programs and closer follow-up for drug-using women and their children may improve mortality outcomes.Journal of Perinatology (2005) 25, 93-100. doi:10.1038/sj.jp.7211214 Published online 21 October 2004 [ABSTRACT FROM AUTHOR]

Health behavior theorists and prevention researchers use a variety of measures of adolescent and young adult (AYA) risk and benefit perceptions to predict tobacco-use and marijuana-use behaviors. However, studies have not examined whether and how perception measures that ask about likelihood of more general outcomes such as "harm" versus ask about specific risk or benefit outcomes compare or whether they differentially predict AYA willingness to use if one of your best friends were to offer it and intentions to use in the next year; and if these measures have differential ability to predict actual use of tobacco and marijuana. We used data from a prospective cohort of California AYAs to create and test new scales to measure perceptions of specific health and social outcomes related to risks (e.g., smell bad) and benefits (e.g., look cool) related to tobacco and marijuana, and then addressed three questions: (1) Whether and how measures of perceptions of specific social and health risks and benefits (for our purposes "specific measures") and measures of perceived general harm are differentially associated with measures of willingness, social norms, and intentions to use? (2) Are specific versus general measures differentially associated with and predictive of tobacco and cannabis use behavior? (3) Are specific perceptions measures differentially predictive of behavior compared to measures of willingness, social norms, and behavioral intentions? Our results demonstrate that to better predict AYA tobacco and marijuana use, measures that address general outcomes, such as harmfulness, as well as willingness and behavioral intention should be used. We also found that measures of specific perceived risks (short-term, long-term, social) and benefits were unrelated and correlated differently with different products. For example, adolescents perceived both risks and benefits from using products like e-cigarettes, and perceived greater risk from smokeless tobacco compared to combustible cigarettes. These findings indicate that measures of specific perceived social and health outcomes can be useful to discern nuanced differences in motivation for using different substances. Study implications are important for survey dimension-reduction and assessing relationships among perceptions, motivations, and use of tobacco and marijuana products., Competing Interests: Competing interests The authors declare no competing interests.