Faculty Bibliography

BACKGROUND AND OBJECTIVES:Disability after stroke occurs across ischemic stroke subtypes, with a suggestion that embolic strokes are more devastating. Whether this difference is as a result of differences in comorbidities or differences in severity at the time of the stroke event is not known. The primary hypothesis was that participants with embolic stroke would have more severe stroke at the time of admission and a higher risk of mortality, compared with thrombotic stroke participants even with consideration of confounders over time, with a secondary hypothesis that this association would differ by race and sex. METHODS:Atherosclerosis Risk in Communities (ARIC) study participants with incident adjudicated ischemic stroke, stroke severity and mortality data, and complete covariates were included. Multinomial logistic regression models determined the association between stroke subtype (embolic vs thrombotic) and admission NIH Stroke Scale (NIHSS) category (minor [≤5], mild [6-10], moderate [11-15], severe [16-20], and very severe [>20]) adjusted for covariates from visits most proximal to the stroke. Separate ordinal logistic models evaluated for interaction by race and sex. Adjusted Cox proportional hazard models estimated the association between stroke subtype and all-cause mortality (through December 31, 2019). RESULTS:interaction = 0.03, per severity category, females OR 2.38, 95% CI 1.55-3.66; males OR 1.75, 95% CI 1.09-2.82). The risk of death (median follow-up 5 years, interquartile range 1-12) was also increased for embolic vs thrombotic stroke patients (hazard ratio 1.66, 95% CI 1.41-1.97). DISCUSSION:Embolic stroke was associated with greater stroke severity at the time of the event and a higher risk of death vs thrombotic stroke, even after careful adjustment for patient-level differences.

Abnormal birth weight, particularly low birth weight (LBW), is known to have long-term adverse health consequences in adulthood, with disrupted sleep being suggested as a mediator or modifier of this link. We thus aimed to assess the associations between birth weight and self-reported adult sleep characteristics: sleep duration, difficulty waking up in the morning, daily nap frequency, sleep problems at night, snoring, daytime tiredness or sleepiness, and ever-stop breathing during sleep. This cross-sectional analysis used the United Arab Emirates Healthy Future Study data collected from February 2016 to March 2023 involving 2124 Emiratis aged 18-61 years. We performed a Poisson regression under unadjusted and age-sex-and-BMI-adjusted models to obtain the risk ratio and its 95% confidence interval for our analysis of the association between birth weight and each adult sleep characteristics, compared to individuals with normal birth weight (≥2.5 kg). Those with LBW had significantly a 17% increased risk of difficulty waking up in the morning, compared to those with normal birth weight. In addition, females with LBW history were also at an increased risk of reporting difficulty waking up in the morning. Studies with objective sleep assessments that include measurements of more confounding factors are recommended to confirm these risks.

INTRODUCTION/BACKGROUND:Health and social service organizations, including the emergency department (ED) and public assistance programs, constitute a social safety net that may serve as an "access point" for substance use treatment utilization. Racialization of substance use disorder (SUD) and gender disparities in access to treatment contribute to differences in health and social service utilization, including substance use treatment for Black women. We therefore explored the role of various access points in facilitating the use of substance use treatment among Black women with substance use and involvement in the criminal justice system. METHODS:We used data from the Black Women in the Study of Epidemics (B-WISE) project (2008-2011), which recruited Black women who use drugs from community, probation, and prison recruitment settings in Kentucky. B-WISE is a three-wave panel survey collected on a six-month interval. We estimated dynamic panel models to understand whether time-varying use of services influenced women's substance use treatment utilization over 18-months, adjusting for time-invariant characteristics. We stratified the analysis based on where women were recruited (i.e., community, prison, and probation). RESULTS:The sample included 310 persons and 930 person-waves. For the community and prison samples, the use of an ED in the 6 months prior decreased women's likelihood of subsequent substance use treatment use (Coef: -0.21 (95% CI: -0.40, -0.01); -0.33 (95% CI: -0.60, -0.06), respectively). For the probation sample, receiving support from public assistance (i.e., food stamps, housing, cash assistance) increased the likelihood of subsequent substance use treatment use (0.27 (95% CI: 0.08, 0.46)). CONCLUSION/CONCLUSIONS:Interactions with health and social service organizations predicted Black women's use of substance use treatment services and varied based on their involvement in the criminal justice system. Public assistance venues for Black women on probation may be a point of intervention to increase their access to and use of substance use treatment.

Few epidemiological studies have focused on seasonal variation in the use of common psychedelics and party drugs among nightclub and festival attendees, typically those who attend electronic dance music (EDM) events. We sought to determine whether the use of different drug types varies seasonally within this population. Across 15 seasons from summer 2017 through fall 2022, we surveyed 3,935 adults entering randomly selected nightclubs and festivals in New York City regarding their past-month use of cocaine, MDMA (3,4-methylenedioxymethamphetamine, commonly known as ecstasy), lysergic acid diethylamide (LSD), psilocybin (shrooms), and ketamine. Multivariable models were used to compare adjusted odds ratios for drug use within each season with the grand mean of combined seasons. Summer was associated with higher odds for use of LSD (aOR 2.72; 95% CI, 1.88-3.93) and psilocybin (aOR 1.65; CI, 1.12-2.43), independent of increases in psilocybin use over time (p < .001). A significant increase in use of ketamine (p = .014) and significant decreases in use of cocaine (p = .002) and ecstasy (p = .002) were found across time, but multivariable models did not detect seasonal variations. Summer is a risk factor for use of common psychedelics among people who attend EDM events. Therefore, the summer months may be the best time to disseminate information about harm reduction for psychedelic drug users.

Embedded pragmatic clinical trials (ePCTs) play a vital role in addressing current population health problems, and their use of electronic health record (EHR) systems promises efficiencies that will increase the speed and volume of relevant and generalizable research. However, as the number of ePCTs using EHR-derived data grows, so does the risk that research will become more vulnerable to biases due to differences in data capture and access to care for different subsets of the population, thereby propagating inequities in health and the healthcare system. We identify 3 challenges-incomplete and variable capture of data on social determinants of health, lack of representation of vulnerable populations that do not access or receive treatment, and data loss due to variable use of technology-that exacerbate bias when working with EHR data and offer recommendations and examples of ways to actively mitigate bias.

Digital health interventions have been shown to be clinically-effective for type 2 diabetes mellitus (T2DM) and hypertension prevention and treatment. This study synthesizes and compares the cost-effectiveness of text-messaging, smartphone application, and websites by searching CINAHL, Cochrane Central, Embase, Medline and PsycInfo for full economic or cost-minimisation studies of digital health interventions in adults with or at risk of T2DM and/or hypertension. Costs and health effects are synthesised narratively. Study quality appraisal using the Consensus on Health Economic Criteria (CHEC) list results in recommendations for future health economic evaluations of digital health interventions. Of 3056 records identified, 14 studies are included (7 studies applied text-messaging, 4 employed smartphone applications, and 5 used websites). Ten studies are cost-utility analyses: incremental cost-utility ratios (ICUR) vary from dominant to €75,233/quality-adjusted life year (QALY), with a median of €3840/QALY (interquartile range €16,179). One study finds no QALY difference. None of the three digital health intervention modes is associated with substantially better cost-effectiveness. Interventions are consistently cost-effective in populations with (pre)T2DM but not in populations with hypertension. Mean quality score is 63.0% (standard deviation 13.7%). Substandard application of time horizon, sensitivity analysis, and subgroup analysis next to transparency concerns (regarding competing alternatives, perspective, and costing) downgrades quality of evidence. In conclusion, smartphone application, text-messaging, and website-based interventions are cost-effective without substantial differences between the different delivery modes. Future health economic studies should increase transparency, conduct sufficient sensitivity analyses, and appraise the ICUR more critically in light of a reasoned willingness-to-pay threshold.Registration: PROSPERO (CRD42021247845).

OBJECTIVE:To estimate the effects of providing access to an alcohol intervention based on a smartphone. DESIGN:Randomised controlled trial.. SETTING:Four higher education institutions in Switzerland. PARTICIPANTS:1770 students (≥18 years) who screened positive for unhealthy alcohol use (ie, a score on the alcohol use disorders identification test-consumption (AUDIT-C) of ≥4 for men and ≥3 for women) were randomly assigned by 1:1 allocation ratio in blocks of 10. INTERVENTION:Providing access to a brief, smartphone based alcohol intervention. OUTCOME MEASURES:six months), and baseline outcome values as fixed effects. RESULTS:Between 26 April 26 2021 and 30 May 2022, 1770 participants (intervention group (n=884); control group (n=886)) were included. Mean age was 22.4 years (standard deviation 3.07); 958 (54.1%) were women; and 1169 (66.0%) were undergraduate students, 533 (30.1%) were studying for a master's degree, 43 (2.4%) were studying for a doctorate, and 25 (1.4%) were students of other higher education programme. The baseline mean number of standard drinks per week was 8.59 (standard deviation 8.18); the baseline number of heavy drinking days was 3.53 (4.02). Of 1770 participants, follow-up rates were 1706 (96.4%) at three months, 1697 (95.9%) at six months, and 1660 (93.8%) at 12 months. Of 884 students randomly assigned to the intervention group, 738 (83.5%) downloaded the smartphone application. The intervention had a significant overall effect on the number of standard drinks per week (incidence rate ratio 0.90 (95% confidence interval 0.85 to 0.96)), heavy drinking days (0.89 (0.83 to 0.96)), and the maximum number of drinks consumed on one occasion (0.96 (0.93 to 1.00), P=0.029), indicating significantly lower drinking outcomes in the intervention group than in the control group during the follow-up period. The intervention did not affect alcohol related consequences or academic performance. CONCLUSIONS:Providing access to the smartphone application throughout the 12 month follow-up was effective at limiting the average drinking volume of university students who had self-reported unhealthy alcohol use at baseline. TRIAL REGISTRATION:ISRCTN 10007691.

INTRODUCTION/BACKGROUND:Several studies have linked increased risk of osteosarcoma with tall stature, high birthweight, and early puberty, although evidence is inconsistent. We used genetic risk scores (GRS) based on established genetic loci for these traits and evaluated associations between genetically inferred birthweight, height, and puberty timing with osteosarcoma. METHODS:Using genotype data from two genome-wide association studies, totaling 1039 cases and 2923 controls of European ancestry, association analyses were conducted using logistic regression for each study and meta-analyzed to estimate pooled odds ratios (ORs) and 95% confidence intervals (CIs). Subgroup analyses were conducted by case diagnosis age, metastasis status, tumor location, tumor histology, and presence of a known pathogenic variant in a cancer susceptibility gene. RESULTS:). Although there was no overall association between osteosarcoma and genetically inferred taller stature (OR=1.06, 95% CI 0.96-1.17, P = 0.28), the GRS for taller stature was associated with an increased risk of osteosarcoma in 154 cases with a known pathogenic cancer susceptibility gene variant (OR=1.29, 95% CI 1.03-1.63, P = 0.03). There were no significant associations between the GRS for puberty timing and osteosarcoma. CONCLUSION/CONCLUSIONS:A genetic propensity to higher birthweight was associated with increased osteosarcoma risk, suggesting that shared genetic factors or biological pathways that affect birthweight may contribute to osteosarcoma pathogenesis.

The COVID-19 pandemic and resulting public health directives led to many changes in families' social and material environments. Prior research suggests that these changes are likely to impact composition of the gut microbiome, particularly during early childhood when the gut microbiome is developing most rapidly. Importantly, disruption to the gut microbiome during this sensitive period can have potentially long-lasting impacts on health and development. In the current study, we compare gut microbiome composition among a socioeconomically and racially diverse group of 12-month old infants living in New York City who provided stool samples before the pandemic (N = 34) to a group who provided samples during the first 9-months of the pandemic (March-December 2020; N = 20). We found that infants sampled during the pandemic had lower alpha diversity of the microbiome, lower abundance of Pasteurellaceae and Haemophilus, and significantly different beta diversity based on unweighted Unifrac distance than infants sampled before the pandemic. Exploratory analyses suggest that gut microbiome changes due to the pandemic occurred relatively quickly after the start of the pandemic and were sustained. Our results provide evidence that pandemic-related environmental disruptions had an impact on community-level taxonomic diversity of the developing gut microbiome, as well as abundance of specific members of the gut bacterial community.

Coronary artery calcium (CAC) is a validated marker of atherosclerotic cardiovascular disease (ASCVD) risk; however, it is not routinely incorporated in ASCVD risk prediction in older adults with diabetes. We sought to assess the CAC distribution among this demographic and its association with "diabetes-specific risk enhancers," which are known to be associated with increased ASCVD risk. We used the ARIC (Atherosclerosis Risk in Communities) study data, including adults aged >75 years with diabetes, who had their CAC measured at ARIC visit 7 (2018 to 2019). The demographic characteristics of participants and their CAC distribution were analyzed using descriptive statistics. Multivariable-adjusted logistic regression models were used to estimate the association between diabetes-specific risk enhancers (duration of diabetes, albuminuria, chronic kidney disease, retinopathy, neuropathy, and ankle-brachial index) and elevated CAC, adjusting for age, gender, race, education level, dyslipidemia, hypertension, physical activity, smoking status, and family history of coronary heart disease. The mean age in our sample was 79.9 (SD 3.97) years, with 56.6% women and 62.1% White. The CAC scores were heterogenous, and the median CAC score was higher in participants with a greater number of diabetes risk enhancers, regardless of gender. In the multivariable-adjusted logistic regression models, participants with ≥2 diabetes-specific risk enhancers had greater odds of elevated CAC than those with <2 (odds ratio 2.31, 95% confidence interval 1.34 to 3.98). In conclusion, the distribution of CAC was heterogeneous among older adults with diabetes, with the CAC burden associated with the number of diabetes risk-enhancing factors present. These data may have implications for prognostication in older patients with diabetes and supports the possible incorporation of CAC in the assessment of cardiovascular disease risk in this population.