Faculty Bibliography

A timely determination of the risk of post-traumatic stress disorder (PTSD) is a prerequisite for efficient service delivery and prevention. We provide a risk estimate tool allowing a calculation of individuals' PTSD likelihood from early predictors. Members of the International Consortium to Predict PTSD (ICPP) shared individual participants' item-level data from ten longitudinal studies of civilian trauma survivors admitted to acute care centers in six countries. Eligible participants (N=2,473) completed an initial clinical assessment within 60 days of trauma exposure, and at least one follow-up assessment 4-15 months later. The Clinician-Administered PTSD Scale for DSM-IV (CAPS) evaluated PTSD symptom severity and diagnostic status at each assessment. Participants' education, prior lifetime trauma exposure, marital status and socio-economic status were assessed and harmonized across studies. The study's main outcome was the likelihood of a follow-up PTSD given early predictors. The prevalence of follow-up PTSD was 11.8% (9.2% for male participants and 16.4% for females). A logistic model using early PTSD symptom severity (initial CAPS total score) as a predictor produced remarkably accurate estimates of follow-up PTSD (predicted vs. raw probabilities: r=0.976). Adding respondents' female gender, lower education, and exposure to prior interpersonal trauma to the model yielded higher PTSD likelihood estimates, with similar model accuracy (predicted vs. raw probabilities: r=0.941). The current model could be adjusted for other traumatic circumstances and accommodate risk factors not captured by the ICPP (e.g., biological, social). In line with their use in general medicine, risk estimate models can inform clinical choices in psychiatry. It is hoped that quantifying individuals' PTSD risk will be a first step towards systematic prevention of the disorder.

BACKGROUND:Technology-based interventions offer a practical, low-cost, and scalable approach to optimize the treatment of substance use disorders (SUDs) and related comorbidities (HIV, hepatitis C infection). This study assessed technology use patterns (mobile phones, desktop computers, internet, social media) among adults enrolled in inpatient detoxification treatment. METHODS:A 49-item, quantitative and qualitative semi-structured survey assessed for demographic characteristics, technology use patterns (ie, mobile phone, text messaging [TM], smart phone applications, desktop computer, internet, and social media use), privacy concerns, and barriers to technology use. We used multivariate logistic regression models to assess the association between respondent demographic and clinical characteristics and their routine use of technologies. RESULTS:Two hundred and six participants completed the survey. Nearly all participants reported mobile phone ownership (86%). Popular mobile phone features included TM (96%), web-browsers (81%), and accessing social media (61%). There was high mobile phone (3.3 ± 2.98) and phone number (2.6 ± 2.36) turnover in the preceding 12 months. Nearly half described daily or weekly access to desktop computers (48%) and most reported internet access (67%). Increased smartphone ownership was associated with higher education status (P = 0.022) and homeless respondents were less likely to report mobile phone ownership (P = 0.010) compared to participants with any housing status (ie, own apartment, residing with friends, family, or in a halfway house). Internet search engines were used by some participants (39.4%, 71/180) to locate 12 step support group meetings (37%), inpatient detoxification programs (35%), short- or long-term rehabilitation programs (32%), and outpatient treatment programs (4%). CONCLUSIONS:Technology use patterns among this hard-to-reach sample of inpatient detoxification respondents suggest high rates of mobile phone ownership, TM use, and moderate use of technology to facilitate linkage to addiction treatment services.

PURPOSE/OBJECTIVE:To examine provider perceptions of practice behaviors and barriers related to fertility counseling, fertility preservation, and family building among transgender patients. METHODS:Participants were medical and mental health professionals who treat adult and youth transgender patients. Recruitment occurred online and in person, via professional listservs for transgender professionals, conferences, and gender clinics. From August-November 2017, 110 participants representing nine countries responded to four open-ended questions included on a survey related to provider practice behaviors and perceived barriers to fertility counseling, fertility preservation, and family building with transgender patients. Thematic coding analysis was used to identify themes. RESULTS:Multiple themes were identified including the following: access and cost issues; urgency for gender-affirming treatment; patient maturity and inability to make future-oriented decisions; and provider-related challenges pertaining to knowledge, role, and general lack of information in the nascent field of transgender reproductive health. CONCLUSION(S)/CONCLUSIONS:This study yielded insights into practice behaviors, challenges, and perceived barriers to fertility counseling with transgender individuals and can serve as a basis for intervention development to optimize clinical practices with this population.

Introduction/UNASSIGNED:Infants and young children may be at an increased risk for second- and thirdhand exposure to tobacco smoke because of increased respiration rate and exposure to surface residue. However, relatively fewer studies have examined biomarkers of exposure (cotinine) in children under age 4 years. This study examines the magnitude and chronicity of exposure across early childhood among children from low-income families in order to better characterize contextual risk factors associated with exposure. Methods/UNASSIGNED:A total of 1292 families were recruited in six nonurban counties of Pennsylvania and North Carolina. Cotinine was assayed from infant saliva at 6, 15, 24, and 48 months of age (N = 1218), and categorized as low (≤0.45 ng/mL), moderate (0.46-12 ng/mL), or high (≥12 ng/mL) at each time point. Categories were highly correlated across time. Latent class analysis was used to summarize patterns of exposure categories across time. Results/UNASSIGNED:Magnitude of exposure in this sample was high, with approximately 12% of infants registering cotinine values at least 12 ng/mL, consistent with active smoking in adults. Greater exposure was associated with lower income, less education, more residential instability, and more instability in adult occupants in the home, whereas time spent in center-based day care was associated with lower exposure. Conclusions/UNASSIGNED:Young children from low-income, nonurban communities appear to bear a higher burden of secondhand smoke exposure than previous studies have reported. Results contribute to understanding populations at greater risk, as well as specific, potentially malleable, environmental factors that may be examined as direct contributors to exposure. Implications/UNASSIGNED:Results suggest that infants from low-income, nonurban families have higher risk for environmental smoke exposure than data from nationally representative samples. Predictors of exposure offer insights into specific factors that may be targeted for risk reduction efforts, specifically conditions of children's physical space. In addition to considering the increases in risk when an adult smoker lives in a child's home, families should also attend to the possible risk embedded within the home itself, such as residual smoke from previous occupants. For high-risk children, day care appears to mitigate the magnitude of exposure by providing extended time in a smoke-free environment.

OBJECTIVE:Studies have documented disparities in exposure to endocrine disrupting chemicals (EDC), but no studies have investigated potential implications for racial/ethnic disparities in chronic disease and associated costs. Our objective was to examine EDC levels in the US population according to race/ethnicity and to quantify disease burden and associated costs. STUDY DESIGN AND SETTING/METHODS:EDC exposure levels in 2007-2010 were obtained from the National Health and Nutrition Examination Surveys. The associated disease burden and costs for twelve exposure-response relationships were determined for Non-Hispanic Whites, Non-Hispanic Blacks, Mexican-Americans, Other Hispanics, and Other/Multicultural. RESULTS:EDC exposure levels and associated burden of disease and costs were higher in Non-Hispanic Blacks ($56.8 billion; 16.5% of total costs) and Mexican-Americans ($50.1 billion; 14.6%) compared to their proportion of the total population (12.6% and 13.5%, respectively). Associated costs among Non-Hispanic Whites comprised 52.3% of total costs ($179.8 billion), though they comprise 66.1% of the US population. These disparities are driven by generally higher exposure to persistent pesticides and flame retardants among Non-Hispanic Blacks and Mexican-Americans. CONCLUSION/CONCLUSIONS:Our estimates suggest that racial/ethnic disparities in chronic diseases in the US may be due to chemical exposures, and are an important tool to inform policies that address such disparities.

Background/UNASSIGNED:Genome-wide association studies (GWAS) identify associations of individual single-nucleotide polymorphisms (SNPs) with cancer risk but usually only explain a fraction of the inherited variability. Pathway analysis of genetic variants is a powerful tool to identify networks of susceptibility genes. Methods/UNASSIGNED:We conducted a large agnostic pathway-based meta-analysis of GWAS data using the summary-based adaptive rank truncated product method to identify gene sets and pathways associated with pancreatic ductal adenocarcinoma (PDAC) in 9040 cases and 12 496 controls. We performed expression quantitative trait loci (eQTL) analysis and functional annotation of the top SNPs in genes contributing to the top associated pathways and gene sets. All statistical tests were two-sided. Results/UNASSIGNED:We identified 14 pathways and gene sets associated with PDAC at a false discovery rate of less than 0.05. After Bonferroni correction (P ≤ 1.3 × 10-5), the strongest associations were detected in five pathways and gene sets, including maturity-onset diabetes of the young, regulation of beta-cell development, role of epidermal growth factor (EGF) receptor transactivation by G protein-coupled receptors in cardiac hypertrophy pathways, and the Nikolsky breast cancer chr17q11-q21 amplicon and Pujana ATM Pearson correlation coefficient (PCC) network gene sets. We identified and validated rs876493 and three correlating SNPs (PGAP3) and rs3124737 (CASP7) from the Pujana ATM PCC gene set as eQTLs in two normal derived pancreas tissue datasets. Conclusion/UNASSIGNED:Our agnostic pathway and gene set analysis integrated with functional annotation and eQTL analysis provides insight into genes and pathways that may be biologically relevant for risk of PDAC, including those not previously identified.

BACKGROUND:Benzodiazepine overdose rates have increased in the US, largely from concomitant use of other drugs such as opioids. Studies are needed to examine trends in prescription tranquilizer (e.g., benzodiazepine) use-with a particular focus on use of other drugs such as opioids-to continue to inform prevention efforts. METHODS:We conducted a secondary analysis of the 2005-2014 National Survey on Drug Use and Health, a repeated cross-sectional, nationally representative probability sample. Trends in past-year nonmedical tranquilizer use and trends in demographic and other past-year substance use characteristics among nonmedical users were examined (N = 560,099). RESULTS:Prevalence of nonmedical tranquilizer use remained stable from 2005/06 through 2013/14 at 2%. Prevalence of past-year heroin use and heroin use disorder both more than doubled among nonmedical tranquilizer users between 2005/06 and 2013/14 (Ps<.001). Nonmedical opioid use decreased between 2005/06 and 2013/14 (P < .001); however, opioid use disorder increased from 13.4% to 16.7% (P = .019). Prevalence doubled among those age >50 between 2005/06 and 2013/14 from 7.9% to 16.5% (P < .001), and nonmedical tranquilizer use among racial minorities also increased (Ps<.01). Prevalence of nonmedical use also increased among those with health insurance (P = .031), and this increase appeared to be driven by a 190.6% increase in nonmedical use among those with Medicare (from 2.6% to 7.4%; P = .002). CONCLUSIONS:Characteristics of nonmedical tranquilizer users are shifting, and many shifts are related to past-year nonmedical prescription opioid use and heroin use. Prevention needs to be geared in particular towards older individuals and to those who use opioids nonmedically.

BACKGROUND:Federal regulations (42 CFR Part 2) provide special privacy protections for persons seeking treatment for substance use disorders. Primary care providers, hospitals, and health care organizations have struggled to balance best practices for medical care with adherence to 42 CFR Part 2, but little formal research has examined this issue. The aim of this study was to explore institutional variability in the interpretation and implementation of 42 CFR Part 2 regulations related to health systems data privacy practices, policies, and information technology architecture. METHODS:This was a cross-sectional qualitative study using purposive sampling to conduct interviews with privacy/legal officers (n = 17) and information technology specialists (n = 10) from 15 integrated healthcare organizations affiliated with three research nodes of the National Institute on Drug Abuse (NIDA) National Drug Abuse Treatment Clinical Trials Network (CTN). Trained staff completed a short survey and digitally recorded semi-structured qualitative interview with each participant. Interviews were transcribed and coded within Atlas.ti. Framework analysis was used to identify and organize key themes across selected codes. RESULTS:Participants voiced concern over balancing patient safety with 42 CFR Part 2 privacy protections. Although similar standards of protection regarding release of information outside of the health system was described, numerous workarounds were used to manage intra-institutional communication and care coordination. To align 42 CFR Part 2 restrictions with electronic health records, health systems used sensitive note designation, "break the glass" technology, limited role-based access for providers, and ad hoc solutions (e.g., provider messaging). CONCLUSIONS:In contemporary integrated care systems, substance-related EHR records (e.g., patient visit history, medication logs) are often accessible internally without specific consent for sharing despite the intent of 42 CFR Part 2. Recent amendments to 42 CFR Part 2 have not addressed information sharing needs within integrated care settings.

YouTube is a social media platform with more than 1 billion users and >600000 videos about prostate cancer. Two small studies examined the quality of prostate cancer videos on YouTube, but did not use validated instruments, examine user interactions, or characterize the spread of misinformation. We performed the largest, most comprehensive examination of prostate cancer information on YouTube to date, including the first 150 videos on screening and treatment. We used the validated DISCERN quality criteria for consumer health information and the Patient Education Materials Assessment Tool, and compared results for user engagement. The videos in our sample had up to 1.3 million views (average 45223) and the overall quality of information was moderate. More videos described benefits (75%) than harms (53%), and only 50% promoted shared decision-making as recommended in current guidelines. Only 54% of the videos defined medical terms and few provided summaries or references. There was a significant negative correlation between scientific quality and viewer engagement (views/month p=0.004; thumbs up/views p=0.015). The comments section underneath some videos contained advertising and peer-to-peer medical advice. A total of 115 videos (77%) contained potentially misinformative and/or biased content within the video or comments section, with a total reach of >6 million viewers. PATIENT SUMMARY: Many popular YouTube videos about prostate cancer contained biased or poor-quality information. A greater number of views and thumbs up on YouTube does not mean that the information is trustworthy.