Faculty Bibliography

Previous epidemiologic studies have examined the relationship between sleep disturbances with prostate cancer (PCa) risk and/or survival. However, less has been published about the impact of sleep disturbance on quality of life for PCa survivors and their caregivers. Although PCa presents numerous potential barriers to sleep (e.g. hot flashes, nocturia), current survivorship guidelines do not address sleep. In addition to its impact on quality of life, sleep disturbances also mediate the impact of cancer status on missed days from work and healthcare expenditures.

INTRODUCTION/BACKGROUND:Practice facilitation is a promising practice transformation strategy, but further examination of its effectiveness in improving adoption of guidelines for multiple cardiovascular disease risk factors is needed. The objective of the study is to determine whether practice facilitation is effective in increasing the proportion of patients meeting the Million Hearts ABCS outcomes: (A) aspirin when indicated, (B) blood pressure control, (C) cholesterol management, and (S) smoking screening and cessation intervention. DESIGN/METHODS:The study used a stepped-wedge cluster RCT design with 4 intervention waves. Data were extracted for 13 quarters between January 1, 2015 and March 31, 2018, which encompassed the control, intervention, and follow-up periods for all waves, and analyzed in 2019. SETTING/PARTICIPANTS/METHODS:A total of 257 small independent primary care practices in New York City were randomized into 1 of 4 waves. INTERVENTION/METHODS:The intervention consisted of practice facilitators conducting at least 13 practice visits over 1 year, focused on capacity building and implementing system and workflow changes to meet cardiovascular disease care guidelines. MAIN OUTCOME MEASURES/METHODS:The main outcomes were the Million Hearts' ABCS measures. Two additional measures were created: (1) proportion of tobacco users who received a cessation intervention (smokers counseled) and (2) a composite measure that assessed the proportion of patients meeting treatment targets for A, B, and C (ABC composite). RESULTS:The S measure improved when comparing follow-up with the control period (incidence rate ratio=1.152, 95% CI=1.072, 1.238, p<0.001) and when comparing follow-up with intervention (incidence rate ratio=1.060, 95% CI=1.013, 1.109, p=0.007). Smokers counseled improved when comparing the intervention period with control (incidence rate ratio=1.121, 95% CI=1.037, 1.211, p=0.002). CONCLUSIONS:Increasing the impact of practice facilitation programs that target multiple risk factors may require a longer, more intense intervention and greater attention to external policy and practice context. TRIAL REGISTRATION/BACKGROUND:This study is registered at www.clinicaltrials.gov NCT02646488.

OBJECTIVES/OBJECTIVE:Fetal exposure to phthalates and bisphenols may lead to vascular developmental adaptations, which program later cardiovascular disease. We examined the associations of fetal exposure to phthalates and bisphenols with childhood blood pressure. METHODS:In a population-based, prospective cohort study among 1,064 mother-child pairs, we measured maternal urine phthalate and bisphenol concentrations in first, second and third trimester of pregnancy. We measured childhood blood pressure at the mean age of 9.7 years (standard deviation 0.2 years) old. Analyses were performed for the total group, and for boys and girls separately. RESULTS:Maternal urine phthalate concentrations were not associated with childhood blood pressure among boys. Higher third trimester maternal urine concentrations of high molecular weight phthalates (HMWP), di-2-ehtylhexylphthalate (DEHP) and di-n-octylphthalate (DNOP) were associated with lower systolic and diastolic blood pressure among girls (p-values < 0.01). Also, higher second trimester maternal urine total bisphenol and bisphenol A concentrations were associated with higher systolic blood pressure among boys (p values < 0.01), but tended to be associated with a lower diastolic blood pressure among girls. CONCLUSIONS:Our results suggest sex-dependent associations of maternal urine phthalate and bisphenol concentrations during pregnancy with childhood blood pressure. Further studies are needed to explore the underlying mechanisms and long term consequences.

Background and Objectives: To rapidly develop, implement, and evaluate emergency department (ED) clinical protocols for initiation of buprenorphine (E

BACKGROUND:While mass-casualty incidents (MCIs) may have competing absolute definitions, a universally ac-cepted criterion is one that strains locally available resources. In the fall of 2017, a MCI occurred in New York and Bellevue Hospital received multiple injured patients within minutes; lessons learned included the need for a formal-ized, efficient patient and injury tracking system. Our objective was to create an organized MCI clinical tracking form for civilian trauma centers. METHODS:After the MCI, the notes of the surgeon responsible for directing patient triage were analyzed. A suc-cinct, organized template was created that allows MCI directors to track demographics, injuries, interventions, and other important information for multiple patients in a real-time fashion. This tool was piloted during a subsequent MCI. RESULTS:In late 2018, the hospital received six patients following another MCI. They arrived within a 4-minute window, with 5 patients being critically injured. Two emergent surgeries and angioembolizations were performed. The tool was used by the MCI director to prioritize and expedite care. All physicians agreed that the tool assisted in orga-nizing diagnostic and therapeutic triage. CONCLUSIONS:During MCIs, a streamlined patient tracking template assists with information recall and communica-tion between providers and may allow for expedited care.

Directed acyclic graphs (DAGs), a prominent tool for expressing assumptions in epidemiologic research, are most useful when the hypothetical data generating structure is correctly encoded. Understanding a study's data generating structure and translating that data structure into a DAG can be challenging, but these skills are often glossed over in training. Campbell and Stanley's framework for causal inference has been extraordinarily influential in social science training programs but has received less attention in epidemiology. Their work, along with subsequent revisions and enhancements based on practical experience conducting empirical studies, presents a catalog of 37 threats to validity describing reasons empirical studies may fail to deliver causal effects. We interpret most of these threats to study validity as suggestions for common causal structures. Threats are organized into issues of statistical conclusion validity, internal validity, construct validity, or external validity. To assist epidemiologists in drawing the correct DAG for their application, we map the correspondence between threats to validity and epidemiologic concepts that can be represented with DAGs. Representing these threats as DAGs makes them amenable to formal analysis with d-separation rules and breaks down cross-disciplinary language barriers in communicating methodologic issues.

PURPOSE:Cohort participants usually have lower mortality rates than nonparticipants, but it is unclear if this survival advantage decreases or increases as cohort studies age. METHODS:We used a 1975 private census of Washington County, Maryland, to compare mortality among cohort participants to nonparticipants for three cohorts, Campaign Against Cancer and Stroke (CLUE I), Campaign Against Cancer and Heart Disease (CLUE II), and Atherosclerosis Risk In Communities (ARIC) initiated in 1974, 1989, and 1986, respectively. We analyzed mortality risk using time-truncated Cox regression models. RESULTS:Participants had lower mortality risk in the first 10 years of follow-up compared with nonparticipants (fully adjusted average hazard ratio [95% confidence intervals] were 0.72 [0.68, 0.77] in CLUE I, 0.69 [0.65, 0.73] in CLUE II, and 0.74 [0.63, 0.86] in ARIC), which persisted over 20 years of follow-up (0.81 [0.78, 0.84] in CLUE I, 0.87 [0.84, 0.91] in CLUE II, and 0.90 [0.83, 0.97] in ARIC). This lower average hazard for mortality among participants compared with nonparticipants attenuated with longer follow-up (0.99 [0.96, 1.01] after 30+ years in CLUE I, 1.02 [0.99, 1.05] after 30 years in CLUE II, and 0.95 [0.89, 1.00] after 30+ years in ARIC). In ARIC, participants who did not attend visits had higher mortality, but those who did attend visits had similar mortality to the community. CONCLUSIONS:Our results suggest the volunteer selection for mortality in long-standing epidemiologic cohort studies often diminishes as the cohort ages.

Background: Primary care clinics often struggle to choose the approach to alcohol and drug screening that is best suited to their resources, workflows, and patient populations. We are conducting a multi-site study to inform the implementation and feasibility of electronic health record (EHR)-integrated screening.
Method(s): In two urban academic health systems, researchers worked with stakeholders from 6 clinics to define and implement their optimal screening approach. All clinics used single-item screening questions for alcohol/drugs followed by AUDIT-C/DAST-10. Clinics chose between: (a) screening at routine vs. annual visits; and (b) staff-administered vs computer self-administered screening. Results were recorded in the EHR, and data was extracted quarterly to describe implementation outcomes including screening rate and detected prevalence of unhealthy (moderate-high risk) use among those screened. Findings are from the first 3 to 12 months post-implementation at each clinic.
Result(s): Across sites, of 84 311 patients with primary care visits, 58 492 (69%) were screened. In the four clinics with mature (9-12 months) implementation, screening rates ranged from 42% to 95%. Rates were lower (10%-22%) in the two clinics that recently launched. Screening at routine encounters, in comparison to annual visits, achieved higher screening rates for alcohol (90%-95% vs 42%-62%) and drugs (90%-94% vs 38%-60%). Staff-administered screening, in comparison to patient self-administered screening, had lower rates of detection of unhealthy alcohol use (2% vs 15-37%). Detection of unhealthy drug use was low, ranging from 0.3% to 1.5%.
Conclusion(s): EHR-integrated screening was feasible to implement in at least four of the six clinics; 1-year results (available Fall 2019) will determine feasibility at all sites. Self-administered screening at routine primary care visits achieved the highest rates of screening and detection of unhealthy alcohol use. Although limited by differences among clinics and their patient populations, this study provides insight into outcomes that may be expected with commonly used screening strategies in primary care.
Summary: This multi-site study conducted in the NIDA Clinical Trials Network seeks to inform the implementation and feasibility of EHR-integrated screening for substance use in primary care. This study will provide insight into outcomes that may be expected with commonly used screening strategies in primary care and may assist in fine-tuning the most appropriate approach to alcohol and drug screening best suited for primary care clinics, based on their individual resources, workflows, and patient populations

BACKGROUND:Childhood anxiety prevents optimal diabetes management yet may be underrecognized by guardians. OBJECTIVE:We aimed to investigate associations among anxiety, diabetes treatment adherence, and diabetes symptom control through child and guardian report. METHODS:Cross-sectional pilot study surveying a convenience sample of children (ages 2-21) in a pediatric endocrinology clinic. Behavior Assessment System for Children, Second Edition 2, Self-Care Inventory Report, and Pediatric Quality of Life measured anxiety, diabetes treatment adherence, and diabetes symptom control. Analyses were performed with Spearman correlations. RESULTS: = -0.38, P = 0.02]). Child- and guardian-reported anxiety were positively correlated (rho = 0.426, P = 0.017)-particularly for children aged >12 (rho = 0.686, P = 0.003)-although not significantly for children ≤ 12 (rho = 0.201, P = 0.473). CONCLUSION:Anxiety in children with type 1 diabetes varies with the domain of diabetes management (treatment adherence vs. symptom control) and reporting source (child vs. guardian). Children aged ≤12 exhibited a stronger relationship between higher anxiety and worse diabetes management with worse treatment adherence and symptom control in the presence of higher anxiety. Guardians of younger children were less effective at recognizing symptoms. Challenges identifying anxiety and its detrimental effects on diabetes management suggest routine screening of anxiety in pediatric endocrinology clinics is especially salient.

Beta amyloid (Aβ) accumulation is the earliest pathological marker of Alzheimer's disease (AD), but early AD pathology also affects white matter (WM) integrity. We performed a cross-sectional study including 44 subjects (23 healthy controls and 21 mild cognitive impairment or early AD patients) who underwent simultaneous PET-MR using 18F-Florbetapir, and were categorized into 3 groups based on Aβ burden: Aβ- [mean mSUVr ≤1.00], Aβi [1.00 < mSUVr <1.17], Aβ+ [mSUVr ≥1.17]. Intergroup comparisons of diffusion MRI metrics revealed significant differences across multiple WM tracts. Aβi group displayed more restricted diffusion (higher fractional anisotropy, radial kurtosis, axonal water fraction, and lower radial diffusivity) than both Aβ- and Aβ+ groups. This nonmonotonic trend was confirmed by significant continuous correlations between mSUVr and diffusion metrics going in opposite direction for 2 cohorts: pooled Aβ-/Aβi and pooled Aβi/Aβ+. The transient period of increased diffusion restriction may be due to inflammation that accompanies rising Aβ burden. In the later stages of Aβ accumulation, neurodegeneration is the predominant factor affecting diffusion.