Faculty Bibliography

OBJECTIVE:While timely interventions can improve medication adherence, it is challenging to identify which patients are at risk of nonadherence at point-of-care. We aim to develop and validate flexible machine learning (ML) models to predict a continuous measure of adherence to guideline-directed medication therapies (GDMTs) for heart failure (HF). MATERIALS AND METHODS/METHODS:We utilized a large electronic health record (EHR) cohort of 34,697 HF patients seen at NYU Langone Health with an active prescription for ≥1 GDMT between April 01, 2021 and October 31, 2022. The outcome was adherence to GDMT measured as proportion of days covered (PDC) at 6 months following a clinical encounter. Over 120 predictors included patient-, therapy-, healthcare-, and neighborhood-level factors guided by the World Health Organization's model of barriers to adherence. We compared performance of several ML models and their ensemble (superlearner) for predicting PDC with traditional regression model (OLS) using mean absolute error (MAE) averaged across 10-fold cross-validation, % increase in MAE relative to superlearner, and predictive-difference across deciles of predicted PDC. RESULTS:Superlearner, a flexible nonparametric prediction approach, demonstrated superior prediction performance. Superlearner and quantile random forest had the lowest MAE (mean [95% CI] = 18.9% [18.7%-19.1%] for both), followed by MAEs for quantile neural network (19.5% [19.3%-19.7%]) and kernel support vector regression (19.8% [19.6%-20.0%]). Gradient boosted trees and OLS were the 2 worst performing models with 17% and 14% higher MAEs, respectively, relative to superlearner. Superlearner demonstrated improved predictive difference. CONCLUSION/CONCLUSIONS:This development phase study suggests potential of linked EHR-pharmacy data and ML to identify HF patients who will benefit from medication adherence interventions. DISCUSSION/CONCLUSIONS:Fairness evaluation and external validation are needed prior to clinical integration.

BACKGROUND/UNASSIGNED:Despite their efficacy, medications for opioid use disorder (MOUD) remain underutilized in patients with infections from intravenous opioid use (I-IOU). This study evaluates the impact of an Expanded MOUD Access Initiative (EMAI) on MOUD uptake and other clinical outcomes in patients hospitalized for I-IOU at an institution without addiction medicine consultation. METHODS/UNASSIGNED:We performed a retrospective pre-post study of hospital admissions for I-IOU before (January 2019-June 2021) and after (January 2022-December 2023) EMAI introduction. Data was collected via chart review. The EMAI eliminated restrictions on methadone use and established a new order set for buprenorphine inductions. The primary outcome was MOUD receipt; secondary outcomes included patient directed discharge (PDD) and 30-day re-hospitalization. RESULTS/UNASSIGNED:There were 129 hospitalizations prior to the intervention (control) and 98 after (EMAI). MOUD receipt was significantly higher in the EMAI group (75.5% vs 31.0%; OR, 6.86 [95% CI, 3.84-12.61]). In patients not receiving MOUD prior to admission (n = 176), new inductions occurred more frequently in the EMAI group (68.0% vs 11.9%; OR, 15.76 [95% CI, 7.50-35.78]). PDD was lower in the EMAI group (23.5% vs 48.8%; OR, 0.32 [95% CI, 0.10-0.57]), as was 30-day re-hospitalization (12.2% vs 22.5%; OR, 0.48 [95% CI, 0.22-0.98]). In a multivariable logistic regression model, the EMAI was the only variable to show a statistically significant association with MOUD receipt (aOR, 6.89 [95% CI, 3.75-13.11]). CONCLUSIONS/UNASSIGNED:The EMAI was associated with increased MOUD uptake, reduced PDD, and fewer 30-day re-hospitalizations despite the lack of addiction medicine consultation.

INTRODUCTION/BACKGROUND:Poor social connection is a risk factor for mortality comparable to smoking or obesity. Expert recommendations encourage clinicians to identify and address isolation, loneliness and absent social support; however, screening and documentation norms remain unstandardised in graduate medical education (GME) social determinants of health (SDOH) curricula. We assessed the knowledge, attitudes, and behaviours (KAB) of internal medicine resident physicians in a large, urban, academic medical centre regarding screening for and documenting social connection. METHODS:Between October 2022 and February 2023, a voluntary, anonymous mixed-methods survey was disseminated to assess resident physicians' KAB about social connection as a SDOH. Quantitative data were analysed descriptively. Qualitative responses underwent content analysis. An electronic medical record (EMR) chart review of resident notes corroborated survey data. RESULTS:Sixty-three residents of an eligible 153 responded to the survey (41% participation). Sixty-five per cent reported never receiving formal GME about social connection as a SDOH. Familiarity with validated screening tools was low. Although 51% of respondents reported often/always documenting patients' social support systems, few chart notes explicitly mentioned social contacts. Respondents agreed that physicians are responsible for assessing and documenting social connection and noted key challenges of time constraints, inadequate screening and documentation norms and EMR navigation difficulty. Targeted didactics, EMR improvements and interdisciplinary learning opportunities were identified as potential solutions. CONCLUSIONS:This study identified notable gaps in resident physician KAB to address social connection as a SDOH. Challenges could be addressed with standardised screening and documentation norms and skill development in patient communication and interdisciplinary teamwork.

SARS-CoV-2 infection is associated with platelet hyperreactivity and increased rates of arterial and venous thrombosis. SARS-CoV-2 mutations have resulted in several variants with differences in transmissibility, infectivity, and patient outcomes. This study investigates the effects of the ancestral strain of SARS-CoV-2 (WA1) and two variants of concern, Delta and Omicron, on the human megakaryocyte (MK) phenotype and transcriptome. Human CD34⁺-derived MKs were incubated with WA1, Delta or Omicron SARS-CoV-2 variants for 24 hours. MK activation markers were measured under resting and thrombin-stimulated conditions. RNA-seq and cytokine release in response to the viruses were assessed. Plasma cytokines were measured in hospitalized COVID-19 patients. Treatment of MKs with WA1, Delta or Omicron variants of SARS-CoV-2 resulted in similar increases in classical activation markers. However, SARS-CoV-2 variants mediated distinct transcriptomic changes. Across variants, 60 genes overlapped, including CXCL8. Consistent with transcriptomic changes, SARS-CoV-2-incubated MKs secreted significantly elevated levels of IL-8. Among hospitalized COVID-19 patients, plasma IL-8 levels were highest in COVID-19 patients who subsequently experienced thrombotic events or died. In conclusion, WA1, Delta, and Omicron similarly induce classical MK activation responses while mediating distinct transcriptomic changes. Increased IL-8 levels may serve as a biomarker to inform platelet hyperreactivity and thrombotic events associated with COVID-19.

Chimeric antigen receptor (CAR) T-cell therapy, long transformative in oncology, is now rapidly emerging as a frontier in autoimmune rheumatic diseases, particularly systemic lupus erythematosus (SLE), driven by accumulating evidence of deep B-cell depletion, immune "resetting," and durable drug-free remission in early studies, yet its translation into rheumatology demands mastery of formidable logistical, regulatory, clinical, and ethical complexities that span institutional readiness, multidisciplinary team formation, stringent regulatory compliance, sophisticated operational workflows, comprehensive patient selection and education, meticulous clinical management of both classical toxicities (CRS, ICANS, ICAHT) and autoimmune-specific reactions such as LICATS, robust financial and resource planning, and long-term follow-up extending 15 years or more; successful implementation requires coordinated expertise among rheumatologists, hematologist-oncologists, cellular therapy units, pharmacists, research coordinators, and ICU-capable teams, all embedded within disciplined communication structures, harmonized SOPs, validated PROs, biorepository governance frameworks, and adherence to national and international cellular therapy standards; in parallel, investigators must anticipate bottlenecks such as apheresis access, manufacturing slot scarcity, competing trial enrollment, fluctuating SLE phenotypes, and heterogeneity-driven signal variability, while sustaining patient engagement over years through education, navigation support, and transparent risk/benefit communication; finally, collaboration with industry partners, clinical trial networks, and patient-advocacy organizations is essential for overcoming operational barriers, securing financial sustainability, and ensuring ethical stewardship, so that CAR T-cell clinical trials in autoimmunity can be executed safely, rigorously, and with maximal therapeutic promise for patients.

BACKGROUND:Medication nonadherence is a common issue among patients with hypertension. Healthcare professionals often overlook medication nonadherence due to limited tools, time constraints, and competing demands. Integrating pharmacy medication fill data into electronic health records (EHRs) presents an opportunity to enhance medication adherence measurement and monitoring in real-time. This study identified facilitators and barriers to addressing adherence to antihypertensive medications by Medical Assistants (MAs), Registered Nurses (RNs), and Primary Care Providers (PCPs) in primary care settings. METHODS:We conducted a qualitative study with, 15 healthcare professionals (5 MAs, 5 RNs, and 5 PCPs) caring for patients with hypertension. Semi-structured interviews, guided by the Consolidated Framework for Implementation Research (CFIR), explored barriers and facilitators related to screening and addressing medication non-adherence during primary care clinical encounters. Thematic analysis and deductive coding were used to analyze the data. RESULTS:Four major themes emerged: motivation, work infrastructure, capability, and opportunity. MAs and PCPs were motivated to discuss medication adherence and build relationships. Capability varied; RNs were confident in their counseling skills based on their training and patient trust, and PCPs described adherence counseling as part of their role, particularly through motivational interviewing. Work infrastructure presented structural hurdles due to RN workflow limitations and MA role constraints. Opportunity to address non-adherence were constrained by tight schedules and competing clinical demands during brief visits. CONCLUSIONS:RNs and PCPs felt capable in their ability to address medication adherence but cited time and competing demands as significant barriers; conversely, MAs reported motivation but were limited by their role. These findings suggest opportunities for effective management of medication adherence in practice settings through a more coordinated strategy across multiple healthcare professionals. TRIAL REGISTRATION/BACKGROUND:ClinicalTrials.gov; NCT05349422; https://clinicaltrials.gov/ct2/show/NCT05349422.

People with HIV are at increased risk of cardiovascular events; thus, care delivery strategies that increase access to comprehensive cardiovascular disease (CVD) risk management are a priority. We report the results of a multi-component telemedicine-based strategy to improve blood pressure control among people with HIV-Assess and Adapt to the Impact of COVID-19 on CVD Self-Management and Prevention Care in Adults Living with HIV (AAIM-High). The AAIM High strategy is a virtual adaptation of our previously published EXTRA-CVD strategy and consisted of hypertension education and six components: nurse-led care coordination (delivered by teleconference or telephone), home systolic blood pressure (SBP) monitoring, evidence-based treatment algorithms, electronic health records tools, technology coach, and communication preferences assessment. People with HIV (n = 74) with comorbid hypertension at three academic medical centers were enrolled in a single arm implementation study from January 2021 to December 2022. Over 12 months, the average patient-performed home SBP decreased by 7.7 mmHg (95% CI -11.5, -3.9). The percentage of patients at treatment goal, defined as average SBP <130 mmHg, increased from 46.0% to 72.5% at 12 months. By adapting to the growing use of telemedicine in healthcare delivery, our study effectively improved hypertension control in people with HIV through a virtual, nurse-led intervention.

INTRODUCTION/BACKGROUND:Process evaluation provides insight into how interventions are delivered across varying contexts and why interventions work in some contexts and not in others. This manuscript outlines the protocol for a process evaluation embedded in a hybrid type 1 effectiveness-implementation randomised clinical trial of incremental-start haemodialysis (HD) versus conventional HD delivered to patients starting chronic dialysis (the TwoPlus Study). The trial will simultaneously assess the effectiveness of incremental-start HD in real-world settings and the implementation strategies needed to successfully integrate this intervention into routine practice. This manuscript describes the rationale and methods used to capture how incremental-start HD is implemented across settings and the factors influencing its implementation success or failure within this trial. METHODS AND ANALYSIS/METHODS:We will use the Consolidated Framework for Implementation Research (CFIR) and the Reach, Effectiveness, Adoption, Implementation and Maintenance (RE-AIM) frameworks to inform process evaluation. Mixed methods include surveys conducted with treating providers (physicians) and dialysis personnel (nurses and dialysis administrators); semi-structured interviews with patient participants, caregivers of patient participants, treating providers (physicians and advanced practice practitioners), dialysis personnel (nurses, dieticians and social workers); and focus group meetings with study investigators and stakeholder partners. Data will be collected on the following implementation determinants: (a) organisational readiness to change, intervention acceptability and appropriateness; (b) inner setting characteristics underlying barriers and facilitators to the adoption of HD intervention at the enrollment centres; (c) external factors that mediate implementation; (d) adoption; (e) reach; (f) fidelity, to assess adherence to serial timed urine collection and HD treatment schedule; and (g) sustainability, to assess barriers and facilitators to maintaining intervention. Qualitative and quantitative data will be analysed iteratively and triangulated following a convergent parallel and pragmatic approach. Mixed methods analysis will use qualitative data to lend insight to quantitative findings. Process evaluation is important to understand factors influencing trial outcomes and identify potential contextual barriers and facilitators for the potential implementation of incremental-start HD into usual workflows in varied outpatient dialysis clinics and clinical practices. The process evaluation will help interpret and contextualise the trial clinical outcomes' findings. ETHICS AND DISSEMINATION/BACKGROUND:The study protocol was approved by the Wake Forest University School of Medicine Institutional Review Board (IRB). Findings from this study will be disseminated through peer-reviewed journals and scientific conferences. TRIAL REGISTRATION NUMBER/BACKGROUND:NCT05828823.

Antibiotic-induced microbiome injury, defined as a reduction of ecological diversity and obligate anaerobe taxa, is associated with negative health outcomes in hospitalized patients, and healthy individuals who received antibiotics in the past are at higher risk for autoimmune diseases. Postbiotics contain mixtures of bacterial fermentation metabolites and bacterial cell wall components that have the potential to modulate microbial communities. Yet, it is unknown if a fermentation-derived postbiotic can reduce antibiotic-induced microbiome injury. Here, we present the results from a single-center, randomized placebo-controlled trial involving 32 patients who received an oral, fermentation-derived postbiotic alongside oral antibiotic and probiotic therapy for non-gastrointestinal (GI) infections. At the end of the antibiotic course, patients receiving the postbiotic (n = 16) had significantly higher fecal bacterial alpha diversity (+40%, inverse Simpson index) compared to the placebo group (n = 16), and the treatment was well-tolerated. Analysis of 157 longitudinal fecal samples revealed that this increased diversity was driven by enrichment of health-associated taxa, notably obligate anaerobic Firmicutes, particularly Lachnospiraceae. In contrast, Escherichia/Shigella species, often linked to pathogenicity and antibiotic resistance, were reduced in postbiotic-treated patients at the end of antibiotic treatment and remained lower up to 10 days later. Our findings suggest that postbiotic co-administration during antibiotic therapy may augment health-associated gut microbiome composition and mitigate antibiotic-induced microbiome injury.Trial registration ISRCTN30327931 retrospectively registered.