Faculty Bibliography

BACKGROUND:Wearable accelerometers, which continuously record physical activity metrics, are commonly used in mobile health-enabled cardiac rehabilitation (mHealth-CR). The association between adherence to accelerometer use during mHealth-CR and improvement in clinical outcomes, such as functional capacity, is understudied. The emergence of artificial intelligence (AI) technology provides novel opportunities to investigate accelerometry use patterns in relation to mHealth-CR outcomes. OBJECTIVE:In this study, we sought to use an AI clustering framework to identify distinct behavioral phenotypes of adherence to accelerometer use. We then aimed to quantify the association of these adherence phenotypes with functional capacity improvements in older adults undergoing mHealth-CR. METHODS:We analyzed data from the RESILIENT (Rehabilitation at Home Using Mobile Health in Older Adults After Hospitalization for Ischemic Heart Disease) trial, the largest randomized clinical study to date comparing mHealth-CR versus usual care in older adults (aged ≥65 years). Intervention arm participants were instructed to wear a Fitbit accelerometer for the 3-month study duration. Adherence to accelerometer use was quantified as overall adherence (percentage of days worn) via k-means clustering AI-derived measures and compared with changes in 6-minute walk distance (6-MWD), adjusted for demographic and clinical covariates. RESULTS:Among 271 participants with a mean age of 71 years (SD 8), of whom 198 (73%) were male, accelerometers were worn for an average of 76 days (95% confidence limits 73,78) over 3 months. Adjusted analyses showed a weak association between days of wear and improvement in 6-MWD, with every 30 additional days associated with an 11-meter improvement (P=.08). Our k-means clustering framework identified adherence phenotypes at two resolutions: low resolution (k=2 clusters) and high resolution (k=8 clusters). The consistently high adherence cluster trended toward a 24.6-meter improvement in 6-MWD compared to the low and declining adherence clusters (n=39; 95% CI 0.7-49.9; P=.06). The 8-cluster phenotyping revealed a richer set of adherence patterns, with the consistently high adherence cluster in this analysis having a 38.5-meter (95% CI 2.2-74.7; P=.04) improvement in 6-MWD than the low adherence cluster, as well as greater average daily steps over the 3-month intervention (mean 7518, SD 3415 vs mean 4800, SD 2920 steps; P=.008). CONCLUSIONS:A time-series AI clustering framework identified a range of behavioral phenotypes representing different degrees of adherence to accelerometer use. Regression analysis identified a weak association between the higher adherence phenotype and functional capacity improvement in older adults undergoing mHealth-CR. Our AI-derived accelerometry adherence phenotypes may offer a new approach to tailor mHealth-CR regimens to individual patients, potentially leading to better outcomes in this high-risk population. TRIAL REGISTRATION/BACKGROUND:ClinicalTrials.gov NCT03978130; https://clinicaltrials.gov/study/NCT03978130. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)/UNASSIGNED:RR2-10.2196/32163.

OBJECTIVES/UNASSIGNED:Decision support tools, such as predictive risk models (PRMs), may assist medical personnel identify child abuse and neglect (CAN). However, no prior work has established whether Medicaid claims alone are sufficient for accurate prediction. We developed a Medicaid claims-based PRM to predict CAN, validating against medical encounters and clinical diagnoses that precede and follow a CAN-related diagnosis code. METHODS/UNASSIGNED:We conducted a case-control study of Medicaid-enrolled children born in New York State between 2006 and 2008. Children with a CAN indicator in the first 10 years of life (case) were matched to children without (control) based on sex, race/ethnicity, county, low birthweight (<2,500 g), birth year, and months enrolled in Medicaid. Outcomes in 1 year included medical encounters, ED visits by injury intent, number of providers, and expenditures, as well as death within 5 years. RESULTS/UNASSIGNED:Of the 50,515 children in the matched sample, 13,109 (26%) were Black, 24,298 (48%) were female, 31,917 (63%) resided in New York City, and by design, 13,429 (26.5%) were diagnosed with CAN before age 10. The final PRM achieved an area under the receiver operating curve of 62%, an accuracy of 75%, a sensitivity of 98.5%, and a specificity of 9.5%. Children with a CAN indicator and those with a high probability of CAN had more high-expenditure medical encounters, particularly injury-related ED visits, compared with those without in the year following the index date. CONCLUSIONS/UNASSIGNED:This claims-based tool demonstrated high sensitivity, identifying nearly all children with a CAN indicator; however, it had very low specificity. Future work should link Medicaid claims to child protective services reports to increase predictive accuracy.

PURPOSE OF REVIEW/UNASSIGNED:Tusi, also known as "pink cocaine," has emerged across nightlife scenes in Latin America, Europe, Australia, and the United States (US). Tusi is typically a drug mixture containing ketamine and 3,4-methylenedioxymethamphetamine (MDMA). Due to tusi's inconsistent chemical makeup, surveillance and harm reduction efforts have proven difficult for researchers and consumers alike. This review synthesizes evidence from peer-reviewed literature, drug checking programs, toxicology reports, and law enforcement data published between 2020 and 2025 to characterize tusi's composition, epidemiology, and associated risks. RECENT FINDINGS/UNASSIGNED:Drug checking services in various countries have identified ketamine and MDMA as the main components of tusi with additional substances often added (e.g., synthetic cathinones, cocaine, methamphetamine) in varying combinations. Laboratory data from Spain show that ketamine concentrations in tusi have increased over time. Surveys in Spain and Colombia highlight increases in initiation, polysubstance use involving tusi, and misclassification of its contents. Toxicology and case series reports indicate that harms associated with use stem largely from polysubstance mixtures rather than any single component, yet morbidity and mortality data typically focus on individual drugs detected. SUMMARY/UNASSIGNED:Tusi exemplifies a novel trend in emerging drugs: it is a blend of substances rather than a single compound, with its identity shaped by its distinctive color and association with nightlife. Its inconsistent composition and frequent co-use with stimulants and dissociatives elevate risk while complicating surveillance. Standardized survey items, expanded drug checking, and improved toxicological monitoring are needed to track and respond to this evolving mixture in the global drug supply.

Remote patient monitoring (RPM) has been shown to support adults with treated but uncontrolled hypertension (HTN) outside the clinic setting, yielding significant benefits in the treatment and control of blood pressure (BP). Despite its proven efficacy and recommendation as guideline-concordant care, adoption of RPM is suboptimal, particularly among marginalized populations, who face structural barriers to HTN control. A barrier to equitable adoption among marginalized populations is the lack of digital inclusivity in the design and deployment of RPM. Digitally inclusive tools consider factors such as affordability, access, digital literacy, and skills. To address this challenge, the authors describe a digitally inclusive model of RPM for HTN management within the Family Health Centers (FHCs) at NYU Langone, a federally qualified health center (FQHC) that serves more than 110,000 patients each year. The model uses protocols from the Target: BP initiative in combination with team-based care and digitally inclusive strategies to improve HTN control. Specifically, care teams work collaboratively to identify patients with uncontrolled HTN and order RPM using electronic health record-embedded clinical decision support; provide patients with free home BP monitors and training in accurate BP measurement; deliver language-concordant health coaching and optimize the antihypertensive regimen via a virtual high-risk clinic (VHRC); and monitor patient progress through shared communications. Patients also receive support from community health workers (CHWs) to address digital barriers and unmet social needs. The authors present utilization and preliminary outcome data of their model, involving 429 patients who were enrolled in RPM and the VHRC across five FHC practices between January 1, 2022, and December 31, 2023. Enrolled patients attended a mean of 4.9 (standard deviation [SD]: 0.5) visits with a nurse practitioner for medication adjustments and counseling; 5.7 (SD: 0.5) health coaching visits with a nurse; and 1 visit (SD: 0.2) with a CHW for digital and social needs over a mean of 5.7 months (SD: 0.8). Enrolled patients sent a mean number of 65 BP readings (SD: 96.4) over their period of participation. On average, enrolled patients exhibited a -13.5/-8.0 mmHg reduction from their enrollment date to the date that they were discharged from the VHRC (approximately 5.7 months). This is in comparison to a -0.5/+0.6 mmHg change in mean BP exhibited by patients with uncontrolled HTN not enrolled in the Advancing Long-term Improvements in Hypertension Outcomes through a Team-based Care Approach (ALTA) program and receiving care at the practices during the same period (n=2,843). Across the practices, BP control had also increased from the pre-ALTA baseline period (January 1, 2021, to December 31, 2021) of 68.44%-82.99%, by the end of December 31, 2023, among all patients with uncontrolled HTN. While the implementation of this digitally inclusive RPM model has shown success in a large FQHC that cares for a diverse population of patients, there remain digital inequity barriers that must be addressed at the policy level to ensure this efficacious approach reaches all patients.

BACKGROUND:Germline genetic testing is recommended for patients with prostate cancer, both localized and advanced, based on disease and family history criteria, with results that may inform targeted therapy. However, real-world utilization of germline genetic testing and potential disparities in access remain inadequately characterized. We analyzed germline genetic testing utilization in a national cohort of Medicare beneficiaries with prostate cancer, examining geographic variation and factors associated with testing. METHODS:Using nationwide Medicare claims (2019-2023), we identified patients with newly diagnosed prostate cancer and germline genetic testing claims. Patient-level geographic patterns of testing rates were evaluated using Rural-Urban Continuum Codes (metropolitan, urban, rural) and hospital referral regions. Using multivariable logistic regression, we assessed associations between residence type and germline genetic testing receipt, adjusted for sociodemographic covariates. The SEER database was used to estimate the proportion of patients meeting clinicopathologic criteria for testing. RESULTS:Among 749,202 men with prostate cancer, 17,821 (2.38%) underwent germline genetic testing. Based on SEER data, 36.5% of patients would have met clinicopathologic criteria for testing. Across 306 hospital referral regions, testing rates ranged from 0.29% to 14.1%. Urban residents were less likely to undergo germline genetic testing than metropolitan residents (odds ratio [OR], 0.85; 95% CI, 0.75-0.95). Increasing age (≥81 years: OR, 0.54; 95% CI, 0.50-0.58) and Asian ethnicity (OR, 0.69; 95% CI, 0.58-0.82) were associated with a lower odds of germline genetic testing. CONCLUSIONS:This study reveals substantial underutilization of germline genetic testing among Medicare beneficiaries with prostate cancer. Despite evidence supporting its use and benefits, <3% of patients underwent testing, even though more than one-third met established criteria. These findings underscore the need to improve regional access to testing and increase awareness among patients and physicians, particularly for older and Asian populations.

BACKGROUND:Healthcare is responsible for 8.5% of greenhouse gas emission in the United States. Physicians are becoming increasingly concerned about the climate crisis, particularly in the field of ophthalmology where there is a growing body of literature related to sustainability. Although emissions of cataracts surgery, one of the most performed surgical procedures in the world, have been quantified, modifications to practice have yet to be made. This study aims to uplift the perspectives of a diverse set of healthcare workers on implementing environmentally sustainable practices in the cataract surgery setting. METHODS:16 semi-structured interviews were conducted with professionals working in various direct patient care or administrative roles at a large health center to gain insight on implementing a variety of sustainability initiatives. We focused on initiatives related to supply reduction, reusable supplies, multi-dosing pharmaceuticals, and health system process and policy shifts. RESULTS:Participants most frequently identified infection prevention and control (IPC) concerns as a primary barrier to implementation. Additionally, the IPC department was most often cited as a key stakeholder in implementation. However, participants from this department did not share these same concerns. Additionally, participants most often cited that these initiatives would be successfully implemented by those providing direct patient care. CONCLUSIONS:Themes generated from the collection of responses underscore a broader discussion of disconnect between policy and practice in healthcare as a barrier to implementation of these initiatives and an opportunity in harnessing clinically led change to implement sustainable practices in a growing healthcare system.

BACKGROUND:Alkyl nitrites, commonly known as "poppers," have been widely used as recreational inhalants since the 1970s, particularly among men who have sex with men (MSM). Despite regulatory restrictions in the United States, poppers remain available under misleading product labels (eg, nail polish removers). Limited epidemiologic research has focused on trends in prevalence and correlates of poppers use, particularly among populations that include non-MSM individuals. METHODS:We analyzed data from a repeated cross-sectional survey of adults entering electronic dance music events at nightclubs in New York City (NYC) between 2017 and 2024 (N = 3332). We estimated trends in past-year poppers use overall and stratified by demographic and drug use-related factors in the NYC nightclub-attending population, and we also delineated correlates of use. RESULTS:s < .05). CONCLUSION/CONCLUSIONS:While sexual minority males remain at highest risk for poppers use, prevalence is also increasing among traditional lower-risk groups, underscoring the need for expanded public health messaging and harm reduction strategies.

IMPORTANCE/UNASSIGNED:Prior studies report negative associations between prenatal exposure to fine particulate matter (ie, aerodynamic diameter <2.5 µg; PM2.5) and birth weight, but have typically averaged exposure across pregnancy, which may not reveal windows of susceptibility. OBJECTIVE/UNASSIGNED:To identify windows of prenatal susceptibility to PM2.5. DESIGN, SETTING, AND PARTICIPANTS/UNASSIGNED:This was a retrospective analysis of a prospectively enrolled cohort study. Participants were enrolled at 1 of 50 sites participating in the US Environmental Influences on Child Health Outcomes Cohort. The study included full-term, singleton births occurring between September 2003 and December 2021. Statistical analyses were conducted from March 2024 to February 2025. EXPOSURES/UNASSIGNED:Daily residential PM2.5 exposure was estimated using a machine-learning model covering the contiguous US and mean exposure estimates were calculated for each week of pregnancy. MAIN OUTCOMES AND MEASURES/UNASSIGNED:Bayesian distributed lag interaction models were used to examine cumulative and week-specific associations between PM2.5 exposure and birth weight for gestational age (BWGA) z scores. Interactions with sex, race and ethnicity, and region were also examined. RESULTS/UNASSIGNED:The sample of 16 868 mother-newborn pairs (maternal mean [SD] age, 30.4 [5.5] years; 605 [3.6%] Asian, 2197 [13.0%] Black or Black-Hispanic, 3407 [20.2%] Hispanic, 9251 [54.8%] non-Hispanic White, and 1408 [8.4%] other) included 15 806 unique mothers and 1062 mothers with 2 or more children in the study. Mean (SD) weekly PM2.5 exposure during pregnancy was relatively low, at 8.03 (2.3) µg/m3, and overall mean (SD) birth weight was 3410.7 (464.5) g. In the sample overall, there was a negative association between PM2.5 exposure and BWGA z score (β = -0.06; 95% credible interval [CrI], -0.10 to -0.03), with a critical window in early gestation (weeks 1-5) that persisted only among males (β = -0.06; 95% CrI, -0.10 to -0.02). When examining differences by region, there were negative associations in the Northeast (β = -0.09; 95% CrI, -0.15 to -0.03), Midwest (β = -0.11; 95% CrI, -0.17 to -0.05; critical window, 12-18 weeks), and South (β = -0.18; 95% CrI, -0.17 to -0.05; critical window, 3-9 weeks). CONCLUSIONS AND RELEVANCE/UNASSIGNED:In this cohort study, higher PM2.5 exposure was associated with lower BWGA z score, with critical windows identified during early pregnancy to midpregnancy; however, findings varied by sex and region. Understanding windows of susceptibility to environmental exposures can help guide research on underlying biological processes and can inform strategies for limiting exposure during certain periods of pregnancy.