Faculty Bibliography

BACKGROUND: Although the "stage theory" suggests that marijuana use occurs after the initiation of tobacco smoking, substantial evidence exists that they often occur concurrently, and that the use of marijuana may influence the use of tobacco. METHODS: This study uses trajectory analysis to examine the relationship between marijuana use beginning in adolescence and adult tobacco dependence in a 5-wave longitudinal study (mean ages in each wave: 14, 19, 24, 29, and 32). The sample consisted of 816 participants (52% African Americans, 48% Puerto Ricans), of whom 60% were females. Logistic regression analyses were conducted to predict later tobacco dependence from earlier trajectories of marijuana use. RESULTS: A higher Bayesian posterior probability (BPP) for the chronic marijuana use trajectory group (odds ratio [OR] = 10.93, P < .001; adjusted OR [AOR] = 10.40, P < .001), for the increasing marijuana use trajectory group (OR = 6.94, P < .001; AOR = 6.73, P < .001), and for the moderate marijuana use trajectory group (OR = 3.13, P < .001; AOR = 3.18, P < .001) was associated with an increased likelihood of being dependent on tobacco compared with the BPP of the no or low marijuana use trajectory group. CONCLUSIONS: The results underscore the value of considering multiple patterns of marijuana use within a person-centered approach. Thus, it would be appropriate for marijuana cessation programs to incorporate the prevention, assessment, and cessation of tobacco use in their health promotion strategies.

The United States system of immigrant detention centers has been the subject of considerable scrutiny with respect to health care of detainees. We sought to characterize the rates and types of deaths that have occurred within this system between the years 2003-2015. We analyzed a file of detainee deaths released by the U.S. Department of Homeland Security as part of a freedom of information request. Between 2003 and 2015, 150 deaths were recorded. During this time period, the annual rate of death among detainees dropped dramatically, whether measured by annual admissions or by person years of exposure. The most common causes of death were cardiovascular, cancer and suicide. More research is needed to adequately account for the contributors to these declining rates of death in immigration detention settings.

BACKGROUND: Median overall survival (OS) of patients with melanoma brain metastases (MBM) is usually 6 months or less. There are rare reports of patients with treated MBM who survived for years. These outlier cases represent valuable opportunities to study the somatic and germline factors that may have influenced patient outcome and led to extended survival. CASE PRESENTATION: Here we report the clinical scenario of a 67 year old man with a recurrent brain metastasis from melanoma who has survived over 12 years post-resection. We review the literature relating to clinical and molecular variables associated with long term survival post-brain metastasis. We present the somatic characteristics of this individual patient's tumor as well as an analysis of inherited genetic variants related to immune function. The patient's resected brain tumor is BRAF V600E mutated, NRAS wild type (WT), and TERT C250T mutated. The patient is a carrier of germline variants in immunomodulatory loci associated with prolonged survival. CONCLUSIONS: Our data suggest that genetic variants in immunomodulatory loci may partially contribute to this patient's unusually favorable outcome and should not be overlooked. With further and future investigation, knowledge of inherited single nucleotide polymorphisms (SNPs) may provide clinicians with more individualized prognostic information for melanoma patients, with potential implications for surveillance strategies and therapeutic interventions.

BACKGROUND: Obesity is highly prevalent among Veterans. In the United States, the Veterans Health Administration (VHA) offers a comprehensive weight management program called MOVE!. Yet, fewer than 10 % of eligible patients ever attend one MOVE! visit. The VHA has a patient-centered medical home (PCMH) model of primary care (PC) called Patient-Aligned Care Teams (PACT) at all Veterans Affairs (VA) Medical Centers. PACT teamlets conduct obesity screening, weight management counseling, and refer to MOVE!. As part of a needs assessment to improve delivery of weight management services, the purpose of this study was to assess PACT teamlet and MOVE! staff: 1) current attitudes and perceptions regarding obesity care; 2) obesity-related counseling practices 3) experiences with the MOVE! program; and 4) targets for interventions to improve implementation of obesity care in the PC setting. METHODS: We recruited 25 PACT teamlet members from a single VA study site-11 PC physicians, 5 registered nurses, 5 licensed practical nurses, 1 clerical assistant, and 3 MOVE! staff (2 dietitians, 1 psychologist)-for individual interviews using a combination of convenience and snowball sampling. Audio recorded interviews were professionally transcribed and iteratively coded by two independent reviewers. The analytic process was guided by discourse analysis in order to discover how the participants perceived and provided weight management care and what specific attitudes affected their practices, all as bounded within the organization. RESULTS: Emerging themes included: 1) role perceptions, 2) anticipated outcomes of weight management counseling and programs, and 3) communication and information dissemination. Perceived role among PCPs was influenced by training, whereas personal experience with their own weight management impacted role perception among LPNs/RNs. Attitudes about whether or not they could impact patients' weight outcomes via counseling or referral to MOVE! varied. System-level communication about VHA priorities through electronic health records and time allocation influenced teams to prioritize referral to MOVE! over weight management counseling. CONCLUSION: We found a diversity of attitudes, and practices within PACT, and identified factors that can enhance the MOVE! program and inform interventions to improve weight management within primary care. Although findings are site-specific, many are supported in the literature and applicable to other VA and non-VA sites with PCMH models of care.

BACKGROUND: The population of adults accessing opioid treatment is growing older, but exact estimates vary widely, and little is known about the characteristics of the aging treatment population. Further, there has been little research regarding the epidemiology, healt h status, and functional impairments in this population. OBJECTIVES: To determine the utilization of opioid treatment services by older adults in New York City. METHODS: This study used administrative data from New York State licensed drug treatment programs to examine overall age trends and characteristics of older adults in opioid treatment programs in New York City from 1996 to 2012. RESULTS: We found significant increases in utilization of opioid treatment programs by older adults in New York City. By 2012, those aged 50-59 made up the largest age group in opioid treatment programs. Among older adults there were notable shifts in demographic background including gender and ethnicity, and an increase in self-reported impairments. Conclusions/Importance: More research is needed to fully understand the specific characteristics and needs of older adults with opioid dependence.

BACKGROUND: Perfluoroalkyl acids are synthetic compounds widely used in industrial and commercial applications. Laboratory studies suggest that these persistent and bioaccumulative chemicals produce oxidant stress and damage glomerular endothelial cells, raising concern regarding the impact of these compounds on renal function. METHODS: We performed cross-sectional analyses of data 1960 participants aged 12-19 years of the 2003-2010 National Health and Nutrition Examination Surveys. PFAA exposure was assessed using levels of perfluorooctane sulfonic acid (PFOS), perfluorooctanoic acid (PFOA), perfluorononanoic acid, and perfluorohexane sulfonic acid. Primary study outcomes were estimated glomerular filtration rate (eGFR) and serum uric acid. RESULTS: While adjusting for demographics, cotinine, prehypertension, insulin resistance, body mass index, and hypercholesterolemia, adolescents in the highest PFOA and PFOS quartile had a lower eGFR, 6.84 mL/min/1.73 m2 (95 % CI: 2.19 to 11.48) and 9.69 mL/min/1.73 m2 (95 % CI: -4.59 to 14.78), respectively, compared to the lowest quartile. Highest PFOA and PFOS quartiles were also associated with 0.21 mg/dL (95 % CI: 0.056 to 0.37) and 0.19 mg/dL (95 % CI: 0.032 to 0.34) increases in uric acid, respectively. CONCLUSIONS: PFAAs are associated with a reduction in kidney function and increased uric acid levels in otherwise healthy adolescents. Reverse causation and residual confounding could explain the results. Our study results confirm and amplify previous findings, though longitudinal studies examining prenatal and childhood biomarkers in relationship with robust measures of childhood renal function are needed.

Study Objectives: New York City (NYC) recently expanded its bicycle routes by demarcating bike lanes with paint and constructing 30 miles of protected paths that physically separate automobile traffic from bicyclists to address increases in bicyclist fatalities. Our objective was to determine whether bike lanes and protected paths result in safety benefits for bicyclists in NYC. We hypothesized that bike lanes would be associated with reduced injury severity among bicyclists colliding with motor vehicles and that protected paths would be associated with an even greater safety benefit. Methods: We performed a secondary analysis of bicyclist injury data collected from December 2008 to August 2014 at a Level 1 Trauma Center in NYC. We evaluated the association of protected paths and bike lanes on injury severity while controlling for potential confounders including patient demographics, scene-related and environmental information, helmet use, traffic law compliance, street characteristics, and injury mechanism. Data were obtained from patient interviews and medical records. Injury severity score (ISS) was categorized according to National Trauma Data Bank (NT

Study Objectives: Previously, we built machine-learned models to automatically identify Tweets indicating alcohol use from 34,563 labeled Tweets collected over 24 hours during New Year's Day. The models demonstrated an estimated area under the receiver operating curve (AUROC) of 0.94 for identifying alcohol use Tweets. In this study, we validated our alcohol use model in an independently collected dataset - the Electric Zoo music festival on New York City's Randall's Island. This event attracted over 130,000 people in 2013 and resulted in two substance-associated deaths. Methods: The initial dataset contained all Tweets and Instagrams geo-tagged within 5 miles of Randall's Island, covering all event days from August 29-31, 2014. Two authors independently reviewed Tweets for drug- or alcohol-related content. 10% of the Tweets were randomly selected for dual independent review to determine agreement using a weighted Cohen's kappa. Identified Tweets were then jointly reviewed to determine those indicative of alcohol use according to previous definitions. Tweets and Instagrams were considered indicators of alcohol use if they referred to: intention to drink, the act of drinking, location at a bar or liquor store, mention of a specific brand, drinking paraphernalia (eg, flask), consequences from drinking (eg, drunk, wasted, tipsy), or alcohol-related hashtags. Our Bayesian logistic regression machine learned model, which had been derived only from Tweets, was applied to a restricted dataset excluding Instagrams. Results: The complete geo-located collection included 11,071 Tweets and Instagrams. The restricted dataset containing only Tweets consisted of 2,928 elements, of which 82 Tweets were classified as drug- or alcohol-related (weighted kappa = 0.92). Of these, 23 Tweets explicitly referenced alcohol use (eg, "Wine at Zoo is the right play. Instadrunk;" "Wow. I am not sober;" "#clskipfridays #livesummer #Ezoo #were dumb #and drunk"). The model achieved an AUROC of 0.87 when applied to this independent Tweet validation set. Conclusion: Our machine-learned model automatically identified alcohol use at Electric Zoo with high discriminatory power. Differences between the previous estimated AUROC performance and the validated AUROC performance are likely due to language variations between the two groups. An in-depth error analysis may identify approaches to improve model performance. The ability to automate social media geosurveillance of substance behavior at events could be coupled with real-time data feeds. Model automation would allow these real-time data feeds to be analyzed for potential public health interventions (including messaging, Tweet geodensity dependent medical presence, or other measures) to further reduce harm

Even when accounting for past performance, academic achievement can be influenced by teacher expectations, which are lower for disadvantaged and visible ethnic minority children. We use a Quebec (Canada) population-based sample (N = 1,311) to examine whether ethnicity and teacher-perceived signs of disadvantage in kindergarten predict child reports of their relationship with teachers in fourth grade. Results suggest that visible minority children were 50% less likely and perceived disadvantaged children were 32% less likely to report having a positive relationship with their teacher. The findings are discussed in terms of directing efforts toward reducing teacher prejudice and improving child academic success.

CONTEXT: Given the highly variable behavior and clinical course of prostate cancer (PCa) and the multiple available treatment options, a personalized approach to oncologic risk stratification is important. Novel genetic approaches offer additional information to improve clinical decision making. OBJECTIVE: To review the use of genomic biomarkers in the prognostication of PCa outcome and prediction of therapeutic response. EVIDENCE ACQUISITION: Systematic literature review focused on human clinical studies reporting outcome measures with external validation. The literature search included all Medline, Embase, and Scopus articles from inception through July 2014. EVIDENCE SYNTHESIS: An improved understanding of the genetic basis of prostate carcinogenesis has produced an increasing number of potential prognostic and predictive tools, such as transmembrane protease, serine2:v-ets avian erythroblastosis virus E26 oncogene homolog (TMPRSS2:ERG) gene fusion status, loss of the phosphatase and tensin homolog (PTEN) gene, and gene expression signatures utilizing messenger RNA from tumor tissue. Several commercially available gene panels with external validation are now available, although most have yet to be widely used. The most studied commercially available gene panels, Prolaris, Oncotype DX Genomic Prostate Score, and Decipher, may be used to estimate disease outcome in addition to clinical parameters or clinical nomograms. ConfirmMDx is an epigenetic test used to predict the results of repeat prostate biopsy after an initial negative biopsy. Additional future strategies include using genetic information from circulating tumor cells in the peripheral blood to guide treatment decisions at the initial diagnosis and at subsequent decision points. CONCLUSIONS: Major advances have been made in our understanding of PCa biology in recent years. Our field is currently exploring the early stages of a personalized approach to augment traditional clinical decision making using commercially available genomic tools. A more comprehensive appreciation of value, limitations, and cost is important. PATIENT SUMMARY: We summarized current advances in genomic testing in prostate cancer with a special focus on the estimation of disease outcome. Several commercial tests are currently available, but further understanding is needed to appreciate the potential benefits and limitations of these novel tests.