Faculty Bibliography

RATIONALE/BACKGROUND:To date, there is no published local epidemiological evidence documenting the respiratory health effects of source specific air pollution in South Asia, where PM2.5 composition is different from past studies. Differences include more biomass and residue crop-burning emissions, which may have differing health implications. OBJECTIVES/OBJECTIVE:We assessed PM2.5 associations with respiratory emergency department (ED) visits in a biomass-burning dominated high pollution region, and evaluated their variability by pollution source and composition. METHODS:Time-series regression modeling was applied to daily ED visits from January 2014 through December 2017. Air pollutant effect sizes were estimated after addressing long-term trends and seasonality, day-of-week, holidays, relative humidity, ambient temperature, and the effect modification by season, age, and sex. RESULTS:PM2.5 yielded a significant association with increased respiratory ED visits [0.84% (95% CI: 0.33%, 1.35%)] per 10 μg/m3 increase. The PM2.5 health effect size varied with season, the highest being during monsoon season, when fossil-fuel combustion sources dominated exposures. Results from a source-specific health effect analysis was also consistent with fossil-fuel PM2.5 having a larger effect size per 10 μg/m3 than PM2.5 from other sources [fossil-fuel PM2.5: 2.79% (0.33% to 5.31%), biomass-burning PM2.5: 1.27% (0% to 2.54%), and other-PM2.5: 0.95% (0.06% to 1.85%)]. Age-specific associations varied, with children and older adults being disproportionately affected by the air pollution, especially by the combustion-related particles. CONCLUSIONS:This study provided novel and important evidence that respiratory health in Dhaka is significantly affected by particle air pollution, with a greater health impact by fossil-fuel combustion derived PM2.5.

Fetal resting-state functional magnetic resonance imaging (rs-fMRI) has emerged as a critical new approach for characterizing brain development before birth. Despite the rapid and widespread growth of this approach, at present, we lack neuroimaging processing pipelines suited to address the unique challenges inherent in this data type. Here, we solve the most challenging processing step, rapid and accurate isolation of the fetal brain from surrounding tissue across thousands of non-stationary 3D brain volumes. Leveraging our library of 1,241 manually traced fetal fMRI images from 207 fetuses, we trained a Convolutional Neural Network (CNN) that achieved excellent performance across two held-out test sets from separate scanners and populations. Furthermore, we unite the auto-masking model with additional fMRI preprocessing steps from existing software and provide insight into our adaptation of each step. This work represents an initial advancement towards a fully comprehensive, open-source workflow, with openly shared code and data, for fetal functional MRI data preprocessing.

Background/UNASSIGNED:Prior to the COVID-19 pandemic, about half of patients from populations that sought care in neurology tried complementary and integrative therapies (CITs). With the increased utilization of telehealth services, we sought to determine whether patients also increased their use of virtual CITs. Methods/UNASSIGNED:We examined datasets from two separate cross-sectional surveys that included cohorts of patients with neurological disorders. One was a dataset from a study that examined patient and provider experiences with teleneurology visits; the other was a study that assessed patients with a history of COVID-19 infection who presented for neurologic evaluation. We assessed and reported the use of virtual (and non-virtual) CITs using descriptive statistics, and determined whether there were clinical characteristics that predicted the use of CITs using logistic regression analyses. Findings/UNASSIGNED:Patients who postponed medical treatment for non-COVID-19-related problems during the pandemic were more likely to seek CITs. Virtual exercise, virtual psychotherapy, and relaxation/meditation smartphone applications were the most frequent types of virtual CITs chosen by patients. In both studies, age was a key demographic factor associated with mobile/virtual CIT usage. Interpretations/UNASSIGNED:Our investigation demonstrates that virtual CIT-related technologies were utilized in the treatment of neurologic conditions during the pandemic, particularly by those patients who deferred non-COVID-related care.

Unhealthy alcohol and drug use are among the top 10 causes of preventable death in the United States, but they are infrequently identified and addressed in medical settings. Guidelines recommend screening adult primary care patients for alcohol and drug use, and routine screening should be a component of high-quality clinical care. Brief, validated screening tools accurately detect unhealthy alcohol and drug use, and their thoughtful implementation can facilitate adoption and optimize the quality of screening results. Recommendations for implementation include patient self-administered screening tools, integration with electronic health records, and screening during routine primary care visits.

Criminal justice involved individuals have a high rate of opioid overdose death following release. In March 2020, New York City jails released over 1000 inmates due to concern of COVID-19 outbreaks in county jails. The closure of addiction treatment clinics further complicated efforts to expand access to medications for opioid use disorder among criminal justice involved adults. The New York City Health + Hospitals Virtual Buprenorphine Clinic established in March 2020 offered low-threshold telemedicine-based opioid treatment with buprenorphine-naloxone, specifically for criminal justice involved adults post-release. We describe a case report of the novel role of tele-conferencing for the provision of buprenorphine-naloxone for jail-released adults with opioid use disorder experiencing homelessness during the COVID-19 pandemic. The patient is a 49-year-old male with severe opioid use disorder released from New York City jail as part of its early release program. He then started using diverted buprenorphine-naloxone, and 1 month later a harm-reduction specialist at his temporary housing at a hotel referred him to an affiliated buprenorphine provider and then eventually to the New York City Health + Hospitals Virtual Buprenorphine Clinic, where he was continued on buprenorphine-naloxone, and was followed biweekly thereafter until being referred to an office-based opioid treatment program. For this patient, telemedicine-based opioid treatment offered a safe and feasible approach to accessing medication for opioid use disorder during the COVID-19 pandemic and following incarceration.

OBJECTIVES/OBJECTIVE:The number of older adults on methadone maintenance treatment (MMT) for opioid use disorder is increasing, but little is known about the characteristics and healthcare needs of this aging treatment population. This population may experience accelerated aging due to comorbidities and health behaviors. The aim of this study was to compare the prevalence of geriatric conditions among adults age ≥50 on MMT to a nationally representative sample of community-dwelling older adults. METHODS:We performed a geriatric assessment on 47 adults age ≥50 currently on MMT enrolled in 2 opioid treatment programs, in New York City and in East Providence, Rhode Island. We collected data on self-reported geriatric conditions, healthcare utilization, chronic medical conditions, physical function, and substance use. The results were compared to 470 age, sex, and race/ethnicity-matched adults in the national Health and Retirement Study. RESULTS:The mean age of the study sample was 58.8 years and 23.4% were female. The most common chronic diseases were hypertension (59.6%) and arthritis (55.3%) with 66% reporting ≥2 diseases. For geriatric conditions, adults on MMT had a significantly higher prevalence of mobility, hearing, and visual impairments as well as falls, urinary incontinence, chronic pain, and insomnia than the Health and Retirement Study sample. CONCLUSIONS:Older adults on MMT in 2 large opioid treatment programs have a high prevalence of geriatric conditions. An interdisciplinary, geriatric-based approach to care that focuses on function and addresses geriatric conditions is needed to improve the health of this growing population.

Background/UNASSIGNED:Health providers' perceived sense of knowledge, competency, and self-efficacy to support the needs of their patients contributes to optimal patient health outcomes. With regards to mental health service delivery in Kenya, this area needs further exploration. Guided by the e-health technology acceptance mode, the needs and preferences of health care providers around mental health training for clinical management and their ability to intervene in peripartum adolescent mental health care are explored. We probed how well-equipped service providers are, their engagement with technology to learn and offer services. The health care provider's technology use preferences were also explored. Method/UNASSIGNED:Guided by a human-centered design-focused qualitative inquiry we interviewed 20 specialists around their needs, perspectives, and preferences for digitized mental health screening and intervention. Mean age was 44.2 years, (range of 32-58 years), 25% (5) males and 75% (15) females. After a written consenting process, the online interviews (30-45 min) were conducted in April 2021, once personal information was de-identified interviews were transcribed and coded. Thematic analysis was used and we combined rapid appraisal of Google Jamboard online storyboards to do individual human-centered design personas alongside. Results/UNASSIGNED:Our participants were well-exposed to digital technologies. Prohibitive costs of data bundles, lack of funds for consistent online engagement, high workload, and instability of access to appropriate gadgets were found to be barriers to e-health training. Emerging opportunities were well-identified adolescent mental health service and intervention needs, willingness to take online courses offered on learning platforms, and wish for these to be disseminated through diverse social media. Other recommendations were the need to have a user-friendly interface such as data-light engaging and practical materials including animations, short, group-based learning. Conclusion/UNASSIGNED:Understanding contextual factors that influence perceived usefulness and ease of use of the remote/digital components would be critical for e-training development and its uptake.

BACKGROUND/UNASSIGNED:Fibroblast growth factor 23 (FGF-23) regulates phosphorus and is associated with cardiovascular disease (CVD), particularly in patients with chronic kidney disease. However, data are limited regarding its contribution to different CVD subtypes across wide age ranges in the general population. METHODS/UNASSIGNED:Using data from ARIC, we evaluated the associations of FGF-23 with heart failure (HF), coronary heart disease (CHD), stroke, and composite CVD (any CVD event) in 12,039 participants at mid-life (visit 3 [1993-1995], mean age 60.0 [SD 5.7] years) and 5608 of the same participants at late-life (visit 5 [2011-2013], 75.5 [5.1] years). RESULTS/UNASSIGNED:-for-difference < 0.001). We observed similar patterns in key demographic and clinical subgroups without interactions. Among CVD subtypes, HF was the only subtype robustly associated with higher FGF-23 at both visits. CONCLUSION/UNASSIGNED:Higher FGF-23 concentrations at late-life but not necessarily at mid-life were independently associated with the risk of CVD. Among CVD subtypes tested, only HF showed robust associations with FGF-23 at both mid-life and late-life.

OBJECTIVES/OBJECTIVE:The purpose of this study was to assess the feasibility and clinical impact of telemedicine-based opioid treatment with buprenorphine-naloxone following the Coronavirus disease 2019 pandemic. METHODS:Participants included in this retrospective analysis consisted of adult New York City residents with opioid use disorder eligible for enrollment in the NYC Health+Hospitals Virtual Buprenorphine Clinic between March and May 2020 (n = 78). Follow-up data were comprised of rates of retention in treatment at 2 months, referrals to community treatment, and induction-related events. RESULTS:During the initial 9 weeks of clinic operations, the clinic inducted 78 patients on to buprenorphine-naloxone and completed 252 visits. Patient referrals included non-NYC Health + Hospitals (n = 22, 28.2%) and NYC Health + Hospitals healthcare providers (n = 17, 21.8%), homeless shelter staff (n = 13, 16.7%), and the NYC Health + Hospitals jail reentry program in Rikers Island (n = 11, 14.1%). At 8 weeks, 42 patients remained in care (53.8%), 21 were referred to a community treatment program (26.9%), and 15 were lost to follow-up (19.2%). No patients were terminated from care due to disruptive behavior or suspicions of diversion or misuse of Buprenorphine. Adverse clinical outcomes were uncommon and included persistent withdrawal symptoms (n = 8, 4.3%) and one nonfatal opioid overdose (0.5%). CONCLUSIONS:Telemedicine-based opioid treatment and unobserved home induction on buprenorphine-naloxone offers a safe and feasible approach to expand the reach of opioid use disorder treatment, primary care, and behavioral health for a highly vulnerable urban population during an unprecedented natural disaster.