Faculty Bibliography

Background/UNASSIGNED:The incidence and severity of coronavirus disease 19 (COVID-19) is substantially higher in men. Sex hormones may be a potential mechanism for differences in COVID-19 outcome in men and women. We hypothesized that men treated with androgen deprivation therapy (ADT) have lower incidence and severity of COVID-19. Methods/UNASSIGNED:We conducted an observational study of male Veterans treated in the Veterans Health Administration from February 15th to July 15th, 2020. We developed a propensity score model to predict the likelihood to undergo Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) testing. We performed multivariable logistic regression modeling adjusted with inverse probability weighting to examine the relationship between ADT and COVID-19 incidence. We conducted logistic regression analysis among COVID-19 patients to test the association between ADT and COVID-19 severity. Results/UNASSIGNED:= 0.03). Conclusion/UNASSIGNED:ADT is associated with reduced incidence and severity of COVID-19 amongst male Veterans. Testosterone and androgen receptor signaling may confer increased risk for SARS-CoV-2 infection and contribute to severe COVID-19 pathophysiology in men.

Background: Neighborhood disadvantage influences health outcomes regardless of personal economic status, illustrating the importance of neighborhood context on health. The Area Deprivation index (ADI) establishes a ranking system of U.S. neighborhoods on state and national levels based on 17 neighborhood factors. Using data from an ongoing study of patients with dual diagnoses of diabetes and dementia, we investigated the relationship between ADI and diabetic outcomes, including glycemic control, blood pressure, and dementia severity.
Method(s): We conducted descriptive and bivariate statistics using 3 years of health record data from patients of NYU Langone Health. We included patients >=65 years, with ADRD and DM, and on DM medication. In addition to demographic measures and NY home addresses, we collected hemoglobin A1c, blood pressure, and assessed dementia severity, surveying proxies with the dementia severity rating scale (DSRS). We used ArcGIS and ADI data to link patient addresses to an ADI score. We stratified the sample into two groups: a low deprivation group with ADI scores 1-5, and a high deprivation group with ADI scores 6-10.
Result(s): Of those meeting inclusion criteria (n=996), most were over 75 years (73.5%), female (60.1%), white (71.2%), and not Hispanic or Latino (72.4%). Mean patient age was 81.3; standard deviation (SD): 7.6. More than 50% of patients had an NY state ADI score of 1, 2 or 3 out of 10, indicating that the majority of the population lived in neighborhoods of less disadvantage. 83.4% (n=831) of the population fell into the low deprivation group. There were no differences in hemoglobin A1c (7.09 vs. 7.01) or dementia severity (25.5 +/- 0.8 vs. 22.4 +/- 2.0) between low and high deprivation groups, respectively. However, systolic blood pressure was greater in high deprivation individuals (132.4 +/- 19.3 mm Hg vs. 128.6 +/- 18.2; p=0.02).
Conclusion(s): The ADI in this study was associated with blood pressure but not diabetic control or dementia severity. Less heterogeneity in disadvantage limited our ability to detect this potential social determinant of health. In a city, where neighborhood disadvantage changes from block to block, the influence of environment on health may be more difficult to detect

Background: We recently implemented the Age-Friendly Health System's 4Ms (What Matters, Medication, Mentation, and Mobility) framework in New York City Health + Hospitals/Bellevue Hospital Center's Geriatrics clinic to improve care of older adults.
Method(s): We examined the impact of 4Ms assessment on patient care and changes in care processes through specific interventions triggered after assessment. We conducted chart reviews of patient visits during March 2021, the first month of 4Ms implementation and identified interventions made during these visits. To assess "What Matters" providers asked "What Matters the most to you;" potentially inappropriate Medications (PIM) were identified using the Beers list; Mentation was evaluated using the Mini-Cog; and Mobility was determined using timed up and go (TUG) test. We used descriptive statistics to characterize findings.
Result(s): Among the 121 patients who had 4Ms assessment in March 2021, 85% (n=103) were asked "What Matters;" providers reviewed Medications for almost all (n=118; 98%) and conducted a Mini-Cog for 64% (n=78). Most not cognitively assessed were either previously screened (n=11; 9%) or had dementia (n=12; 10%). Providers used the TUG test for 87% (n=105). What Mattered to patients most commonly was "getting better" (n=24; 23%). There were 39 (33%) patients with potentially inappropriate Medications (including proton pump inhibitors, gabapentinoids, and NSAIDS) of which 10 (26%) Medications were either discontinued or reduced. Other interventions included further cognitive evaluation (n=2) and home care referrals (n=2) among 14 (18%) with an abnormal Mini- Cog. Among the 51 (42%) patients with an abnormal TUG, providers intervened for 19 (37%) with devices, referrals or home services.
Conclusion(s): The adoption of 4Ms assessment during routine visits identified issues with Medications, Mentation and Mobility, triggering several interventions for common geriatric conditions. 4Ms assessment is a helpful strategy to organize geriatric care, routinely assess patients for common geriatric syndromes, and improve care. Future directions include prioritizing interventions integrated with "What Matters" to maintain patient-centered care

Tertiary healthcare ethics (HCE) consultation occurs when an HCE consultant at a healthcare facility requests guidance from one or more senior HCE consultants who are not members of that facility's HCE consultation service. Tertiary HCE consultants provide advanced HCE guidance and/or mentoring to facility (secondary) HCE consultants, mirroring healthcare consultation in clinical practice. In this article, we describe advantages and challenges of providing tertiary HCE consultation through a hub-and-spoke model administered by a national integrated HCE service.

BACKGROUND:High-throughput metagenomic sequencing technologies have shown prominent advantages over traditional pathogen detection methods, bringing great potential in clinical pathogen diagnosis and treatment of infectious diseases. Nevertheless, how to accurately detect the difference in microbiome profiles between treatment or disease conditions remains computationally challenging. RESULTS:In this study, we propose a novel test for identifying the difference between two high-dimensional microbiome abundance data matrices based on the centered log-ratio transformation of the microbiome compositions. The test p-value can be calculated directly with a closed-form solution from the derived asymptotic null distribution. We also investigate the asymptotic statistical power against sparse alternatives that are typically encountered in microbiome studies. The proposed test is maximum-type equal-covariance-assumption-free (MECAF), making it widely applicable to studies that compare microbiome compositions between conditions. Our simulation studies demonstrated that the proposed MECAF test achieves more desirable power than competing methods while having the type I error rate well controlled under various scenarios. The usefulness of the proposed test is further illustrated with two real microbiome data analyses. The source code of the proposed method is freely available at https://github.com/Jiyuan-NYU-Langone/MECAF. CONCLUSIONS:MECAF is a flexible differential abundance test and achieves statistical efficiency in analyzing high-throughput microbiome data. The proposed new method will allow us to efficiently discover shifts in microbiome abundances between disease and treatment conditions, broadening our understanding of the disease and ultimately improving clinical diagnosis and treatment.

Background/UNASSIGNED:Mobile health (mHealth) tools offer an effective and personalized approach to enhance chronic disease management and may partially offset provider-level barriers to increasing buprenorphine prescribing in primary care. This study assessed the feasibility of integrating a text messaging-based medical management tool (TeMeS) in primary care among patients initiating buprenorphine. Methods/UNASSIGNED:TeMeS messages are categorized per the medical management model, programed in a HIPAA-compliant texting software (Apptoto©), and delivered in a tiered fashion over 8-weeks to patients. This mixed-methods evaluation of TeMeS utilized key stakeholder feedback (patients, physicians, administrators, nursing), text messaging software process measures, thematic analysis of patient participant text message content, and electronic administrative data (eg, appointment adherence, treatment retention) at 2-months. Results/UNASSIGNED:The study team approached 65 patients and n = 14 (21%) were ineligible or declined to participate in the study. Most eligible participants owned a smartphone (90%), responded to at least one text query (88%) over an average of 24 days, and few requested to stop receiving texts (6%). Participant text replies included responses to cognitive behavioral therapy-based queries (13.8%), confirming or rescheduling appointments (6.1%), and insurance, pharmacy, or clinical issues pertaining to buprenorphine dispensation or dosing (2%). Suggestions for design modifications included personalizing message content and adjusting message frequency per patient risk of illicit opioid reuse, use of video-based informational content, and real-time provider and staff support for emergent issues. Conclusion/UNASSIGNED:Our findings highlight the acceptability, feasibility, and high rates of engagement of utilizing text messaging to enhance self-management among patients initiating buprenorphine treatment.

Background/UNASSIGNED:While societal acceptance for sexual and gender minority (SGM) individuals is increasing, this group continues to face barriers to quality healthcare. Little is known about clinicians' experiences with SGM patients in the oncology setting. To address this, a mixed method survey was administered to members of the ECOG-ACRIN Cancer Research Group. Materials and methods/UNASSIGNED:We report results from the open-ended portion of the survey. Four questions asked clinicians to describe experiences with SGM patients, reservations in caring for them, suggestions for improvement in SGM cancer care, and additional comments. Data were analyzed using content analysis and the constant comparison method. Results/UNASSIGNED:The majority of respondents noted they had no or little familiarity with SGM patients. A minority of respondents noted experience with gay and lesbian patients, but not transgender patients; many who reported experience with transgender patients also noted difficulty navigating the correct use of pronouns. Many respondents also highlighted positive experiences with SGM patients. Suggestions for improvement in SGM cancer care included providing widespread training, attending to unique end-of-life care issues among SGM patients, and engaging in efforts to build trust. Conclusion/UNASSIGNED:Clinicians have minimal experiences with SGM patients with cancer but desire training. Training the entire workforce may improve trust with, outreach efforts to, and cancer care delivery to the SGM community.