Faculty Bibliography

In a previous study, heart xenografts from 10-gene-edited pigs transplanted into two human decedents did not show evidence of acute-onset cellular- or antibody-mediated rejection. Here, to better understand the detailed molecular landscape following xenotransplantation, we carried out bulk and single-cell transcriptomics, lipidomics, proteomics and metabolomics on blood samples obtained from the transplanted decedents every 6 h, as well as histological and transcriptomic tissue profiling. We observed substantial early immune responses in peripheral blood mononuclear cells and xenograft tissue obtained from decedent 1 (male), associated with downstream T cell and natural killer cell activity. Longitudinal analyses indicated the presence of ischemia reperfusion injury, exacerbated by inadequate immunosuppression of T cells, consistent with previous findings of perioperative cardiac xenograft dysfunction in pig-to-nonhuman primate studies. Moreover, at 42 h after transplantation, substantial alterations in cellular metabolism and liver-damage pathways occurred, correlating with profound organ-wide physiological dysfunction. By contrast, relatively minor changes in RNA, protein, lipid and metabolism profiles were observed in decedent 2 (female) as compared to decedent 1. Overall, these multi-omics analyses delineate distinct responses to cardiac xenotransplantation in the two human decedents and reveal new insights into early molecular and immune responses after xenotransplantation. These findings may aid in the development of targeted therapeutic approaches to limit ischemia reperfusion injury-related phenotypes and improve outcomes.

PURPOSE/OBJECTIVE:As the COVID-19 pandemic forced most colleges and universities to go online, student health centers rapidly shifted to telehealth platforms without frameworks for virtual care provision. An urban student health center implemented a needs assessment involving unannounced standardized patients (USPs) to evaluate the integration of a new telehealth workflow and clinicians' virtual communication skills. METHODS:From April to May 2021, USPs conducted two video visits with 12 primary care and four women's health clinicians (N = 16 clinicians; 32 visits). Cases included (1) a 21-year-old female presenting for birth control with a positive Patient Health Questionaire-9 and (2) a 21-year-old male, who vapes regularly, with questions regarding safe sex with men. Clinicians were evaluated using a checklist completed by the USP immediately following the visit and a systematic chart review of the electronic health record. RESULTS:USP feedback indicates most clinicians received high ratings for general communication skills but may benefit from educational intervention in several key telemedicine skills. Clinicians struggled with using nonverbal signals to enrich communication (47% well done), acknowledging emotions (34% well done), and using video for information gathering (34% well done). Low rates of standard screenings (e.g., 63% administered the PHQ-2, <50% asked about alcohol use) suggested protocols for in-person care were not easily incorporated into telehealth practices, and clinicians may benefit from enhanced care team support. Performance reports were shared with clinicians and leadership postvisit. DISCUSSION/CONCLUSIONS:Results suggest project design and implementation is scalable and feasible for use at other institutions, offering a structured methodology that can improve general student health care.

PURPOSE/UNASSIGNED:The Professional Identity Essay (PIE) is a theory and evidence-based Medical Professional Identity Formation (MPIF) measure. We describe trajectories of PIE-measured MPIF over a 4-year US medical school curriculum. METHODS/UNASSIGNED:Students write PIEs at medical school orientation, clinical clerkships orientation, and post-advanced (near graduation) clerkship. A trained evaluator assigns an overall stage score to narrative responses to nine PIE prompts (inter-rater ICC 0.83, 95% CI [0.57 - 0.96], intra-rater ICC 0.85). Distribution of PIE stage scores across time points were analyzed in the aggregate and individual students were classified as Increase, Stable (no score change) or Decrease based on the trajectories of PIE stage scores over time. RESULTS/UNASSIGNED: CONCLUSIONS/UNASSIGNED:Medical students' PIE stage scores increase over time with three distinctive trajectories. Further study is needed to explore the utility of this method for formative assessment, program evaluation, and MPIF research.

Estimates of post-acute sequelae of SARS-CoV-2 infection (PASC) incidence, also known as Long COVID, have varied across studies and changed over time. We estimated PASC incidence among adult and pediatric populations in three nationwide research networks of electronic health records (EHR) participating in the RECOVER Initiative using different classification algorithms (computable phenotypes). Overall, 7% of children and 8.5%-26.4% of adults developed PASC, depending on computable phenotype used. Excess incidence among SARS-CoV-2 patients was 4% in children and ranged from 4-7% among adults, representing a lower-bound incidence estimation based on two control groups - contemporary COVID-19 negative and historical patients (2019). Temporal patterns were consistent across networks, with peaks associated with introduction of new viral variants. Our findings indicate that preventing and mitigating Long COVID remains a public health priority. Examining temporal patterns and risk factors of PASC incidence informs our understanding of etiology and can improve prevention and management.

Electronic health records have become an integral part of modern health care, but their implementation has led to unintended consequences, such as poor note quality. This case study explores how NYU Langone Health leveraged artificial intelligence (AI) to address the challenge to improve the content and quality of medical documentation. By quickly and accurately analyzing large volumes of clinical documentation and providing feedback to organizational leadership and individually to providers, AI can help support a culture of continuous note quality improvement, allowing organizations to enhance a critical component of patient care.

Teclistamab, a B-cell maturation antigen (BCMA)- and CD3-targeting bispecific antibody, is an effective novel treatment for relapsed/refractory multiple myeloma (R/RMM), but efficacy in patients exposed to BCMA-directed therapies and mechanisms of resistance have yet to be fully delineated. We conducted a real-world retrospective study of commercial teclistamab, capturing both clinical outcomes and immune correlates of treatment response in a cohort of patients (n = 52) with advanced R/RMM. Teclistamab was highly effective with an overall response rate (ORR) of 64%, including an ORR of 50% for patients with prior anti-BCMA therapy. Pretreatment plasma cell BCMA expression levels had no bearing on response. However, comprehensive pretreatment immune profiling identified that effector CD8+ T-cell populations were associated with response to therapy and a regulatory T-cell population associated with nonresponse, indicating a contribution of immune status in outcomes with potential utility as a biomarker signature to guide patient management.

OBJECTIVES/OBJECTIVE:National societies recommend against performing routine daily laboratory testing without a specific indication. Unnecessary testing can lead to patient harm, such as hospital-acquired anemia. The objective of this study was to reduce repeat complete blood counts (CBCs) after initial testing. METHODS:This was a quality improvement initiative implemented across 11 safety net hospitals in New York City. A best practice advisory (BPA) was implemented that asked the user to remove a CBC if the last 2 CBCs within 72 hours had normal white blood cell and platelet counts and unchanged hemoglobin levels. The outcome measure was the rate of CBCs per 1000 patient days preintervention (January 8, 2020, to December 22, 2020) to postintervention (December 23, 2020, to December 7, 2021). The process measure was the acceptance rate of the BPA, defined as the number of times the repeat CBC order was removed through the BPA divided by the total number of times the BPA triggered. RESULTS:Across 11 hospitals, repeat CBC testing decreased by 12.3% (73.05 to 64.04 per 1000 patient days, P < .001). Six of the 11 hospitals exhibited statistically significant decreases, ranging from a 10% to 48.9% decrease of repeat CBCs. The overall BPA action rate was 20.0% (24,029 of 119,944 repeat CBCs). CONCLUSIONS:This low-effort, electronic health record-based intervention can effectively reduce unnecessary laboratory testing.

The goal of medical education is to produce a physician workforce capable of delivering high-quality equitable care to diverse patient populations and communities. To achieve this aim amidst explosive growth in medical knowledge and increasingly complex medical care, a system of personalized and continuous learning, assessment, and feedback for trainees and practicing physicians is urgently needed. In this perspective, the authors build on prior work to advance a conceptual framework for such a system: precision education (PE).PE is a system that uses data and technology to transform lifelong learning by improving personalization, efficiency, and agency at the individual, program, and organization levels. PE "cycles" start with data inputs proactively gathered from new and existing sources, including assessments, educational activities, electronic medical records, patient care outcomes, and clinical practice patterns. Through technology-enabled analytics, insights are generated to drive precision interventions. At the individual level, such interventions include personalized just-in-time educational programming. Coaching is essential to provide feedback and increase learner participation and personalization. Outcomes are measured using assessment and evaluation of interventions at the individual, program, and organizational level, with ongoing adjustment for repeated cycles of improvement. PE is rooted in patient, health system, and population data; promotes value-based care and health equity; and generates an adaptive learning culture.The authors suggest fundamental principles for PE, including promoting equity in structures and processes, learner agency, and integration with workflow (harmonization). Finally, the authors explore the immediate need to develop consensus-driven standards: rules of engagement between people, products, and entities that interact in these systems to ensure interoperability, data sharing, replicability, and scale of PE innovations.