Faculty Bibliography

BACKGROUND/UNASSIGNED:Older adults treated in emergency departments (EDs) are at higher risk for adverse outcomes. Using multiple facilities can worsen this issue through service duplication and poor care transitions. Veterans with dual insurance coverage can access both Veterans Health Administration (VHA) and non-VHA EDs. This study aimed to identify factors associated with non-VHA ED use among veterans. METHODS/UNASSIGNED:We conducted a retrospective observational study of patients aged ≥ 65 who had primary care at the James J Peters VA Medical Center and at least one VHA or non-VHA ED visit between October 2017 and February 2020. Data were collected from the Veterans Affairs Corporate Data Warehouse and the Bronx Regional Health Information Exchange Organization. Generalized linear mixed models were used to examine factors influencing non-VHA ED use. RESULTS/UNASSIGNED:The study sample consisted of 3,897 veterans and a total of 13,312 ED visits. Compared to VHA-exclusive ED users, non-VHA ED users were more likely to live farther away (OR 1.04, CI 1.02 - 1.06) and seek care outside regular hours, including mornings (OR 1.61, CI 1.39 - 1.87), nights (OR 1.49, CI 1.33 - 1.66), weekends (OR 1.28, CI 1.16 - 1.42), and holidays (OR 1.32, CI 1.04 - 1.68). They were also more likely to present with emergency care sensitive conditions (OR 2.13, CI 1.90 - 2.37) and recent inpatient hospitalizations (OR 1.22, CI 1.05 - 1.41). CONCLUSION/UNASSIGNED:These findings suggested that distance and acuity are important predictors of non-VHA ED use in urban areas such as the Bronx, NY. Identifying veterans with key risk factors could improve care coordination and potentially reduce non-VHA ED use.

Detecting anomalies in distributed systems through log analysis remains challenging due to the complex temporal dependencies between log events, the diverse manifestation of system states, and the intricate causal relationships across distributed components. This paper introduces a TLAN (Temporal Logical Attention Network), a novel deep learning framework that integrates temporal sequence modeling with logical dependency analysis for robust anomaly detection in distributed system logs. Our approach makes three key contributions: (1) a temporal logical attention mechanism that explicitly models both time-series patterns and logical dependencies between log events across distributed components, (2) a multi-scale feature extraction module that captures system behaviors at different temporal granularities while preserving causal relationships, and (3) an adaptive threshold strategy that dynamically adjusts detection sensitivity based on system load and component interactions. Extensive experiments on a large-scale synthetic distributed system log dataset show that TLAN outperforms existing methods by achieving a 9.4% improvement in F1-score and reducing false alarms by 15.3% while maintaining low latency in real-time detection. The framework demonstrates particular effectiveness in identifying complex anomalies that involve multiple interacting components and cascading failures. Through comprehensive empirical analysis and case studies, we validate that TLAN can effectively capture both temporal patterns and logical correlations in log sequences, making it especially suitable for modern distributed architectures. Our approach also shows strong generalization capability across different system scales and deployment scenarios, supported by thorough ablation studies and performance evaluations.

INTRODUCTION/UNASSIGNED:In light of the lack of diversity in academic medicine leadership, diversity-related, student-led national medical organizations (NMOs) provide a space for solace and reprieve among common peers while providing an opportunity to develop leadership competencies in a supportive environment. Despite the impact NMOs have had on cultivating generations of leaders in medicine, trainees may not identify opportunities for leadership development that are transferable to future careers in academic medicine. METHODS/UNASSIGNED:We designed and implemented a dynamic 60-minute workshop with an interactive PowerPoint presentation, author-owned video testimonials (from past student leaders of NMOs), two case presentations, and reflection exercises. We assessed learner self-perceived confidence via workshop surveys. The target audience of this module was medical trainees, including medical students, residents, and fellows. RESULTS/UNASSIGNED:Forty-three workshop attendees across three sites submitted partial or complete survey evaluations. Respondents included medical students (77%), with the remainder self-identified as either postbaccalaureate students, residents/fellows, academic faculty, or physicians. A comparison of pre- and postresponses showed a statistically significant increase in confidence in addressing each of the four educational objectives. Participants felt the case presentations offered relevant applicable examples. DISCUSSION/UNASSIGNED:For many trainees, the role that diversity-related NMOs play in developing leadership competencies may be unclear and not articulated in traditional medical curricula. In this module, we provide examples of how NMOs facilitate leadership development and may encourage our diverse trainees to eventually become academic faculty.

Erectile dysfunction (ED) is a pathophysiological condition in which the patients cannot achieve an erection during sexual activity, and it is often overlooked yet prevalent among diabetic men, globally affecting approximately 35-75% of diabetic individuals. The precise mechanisms through which diabetes contributes to ED remain elusive, but the existing literature suggests the potential involvement of nerve and vascular damage that affects the penile supply. In the present review, we reanalyze the existing human single-cell transcriptomic data from patients having diabetes mellitus-associated ED with normal erections. The analysis validates the expression of genes associated with antioxidative pathways, growth factors, adipokines, angiogenesis, vascular functions, penile erection, sexual function, and inflammation in diverse cell types from healthy individuals and those with ED. Our transcriptomic analysis reveals alterations in the expression of adiponectin receptors in the pathogenesis of ED compared to their counterparts in healthy subjects. This comprehensive review sheds light on the molecular underpinnings of ED in the context of diabetes, providing an in-depth understanding of the biological and cellular alterations involved and paving the way for possible targeted therapeutic discoveries in the field of diabetes-associated male infertility.

BACKGROUND:Following maternal COVID-19 vaccination, the persistence of antibodies in sera and breast milk for mothers and infants is not well characterized. We sought to describe the persistence of antibodies through 2 months after delivery in maternal and infant serum and breast milk following maternal COVID-19 mRNA vaccination and to examine differences by receipt of booster dose during pregnancy or postpartum. METHODS:This is a prospective cohort study with enrollment from July 2021 to January 2022 at 9 US academic sites. Pregnant or postpartum participants and their infants were enrolled after COVID-19 mRNA monovalent vaccination during pregnancy (primary 2-dose series) with booster (third dose) vaccination during pregnancy or within 2 months post-partum. SARS-CoV-2-binding and functional antibody responses at delivery and 2 months after delivery in mothers and infants were measured by spike and receptor-binding domain immunoglobulin (Ig) G, pseudovirus and live neutralizing antibody (nAb) titers to ancestral and Omicron BA.1 and BA.5 strains. Breast milk spike and receptor-binding domain IgG and IgA titers were also measured. RESULTS:A total of 237 maternal/infant dyads were included (110 primary series during pregnancy, 99 pregnancy booster and 28 postpartum booster). A pregnancy booster resulted in 2.2-4.7-fold higher IgG and nAb at delivery and 2 months for both mothers and infants compared to the primary series alone (P < 0.001 for all comparisons). While infant IgG and nAb titers decreased by 2 months of age, the proportion of infants with detectable nAb at 2 months was greater in infants of mothers boosted during pregnancy compared with primary series for all variants (D614G: 99% vs. 56%; BA.1: 56% vs. 4% and BA.5: 57% vs. 9%; P < 0.001 for all comparisons). Breast milk spike IgA and IgG were present in 64%-100% and 100% of participants, respectively, and those boosted during pregnancy or postpartum had 3.1-4.6-fold higher levels of breast milk antibodies at 2 months compared to primary series during pregnancy (P < 0.001). CONCLUSIONS:mRNA COVID-19 monovalent booster vaccination during pregnancy results in significantly higher maternal and infant serum-binding IgG and nAb titers compared to a primary 2-dose series, including against Omicron variants, through 2 months of age. Breast milk antibodies following maternal vaccination during pregnancy or postpartum may provide additional protection during early infancy.

Central body fat distribution affects kidney function. Abdominal fat measurements using computed tomography (CT) may prove superior in assessing body composition-related kidney risk in living kidney donors. This retrospective cohort study including 550 kidney donors aimed to determine the association between CT-measured abdominal fat areas and kidney function before and after donor nephrectomy. Donors underwent glomerular filtration rate measurements (¹²⁵I-Iothalamate, mGFR) before and 3 months after donation. Linear regression analyses with body surface area (BSA)-standardized and crude mGFR were performed to assess the association of height-indexed tomographic fat measurements with kidney function. In age-, and sex-adjusted analyses higher levels of total abdominal, visceral, subcutaneous, and intramuscular adipose tissue index were significantly associated with lower mGFR levels before donation (BSA-standardized mGFR: visceral adipose tissue index: Βeta=-0.11, p < 0.001, subcutaneous: Βeta=-0.10, p < 0.001, intramuscular: Βeta=-1.18, p < 0.001, total abdominal: Βeta=-0.07, p < 0.001). Higher tomographic abdominal fat is associated with lower BSA-standardized mGFR after donation and a greater decrease in mGFR between screening and 3 months post-donation. This study shows that CT-measured abdominal fat area is associated with kidney function before and after living kidney donation.

INTRODUCTION:As the utility of genomic sequencing increases, its use in healthcare will continue to expand beyond expert clinics toward nonspecialist practices such as primary care. At the same time, discordance in genetic variant identification and classification between laboratories remains a concern for the field. This research assesses how clinicians with and without genetics expertise understand and trust genetic test results, underscoring how variation in the handling of genetic test results can have real impact on patient care. METHODS:We conducted 40 interviews with genetics experts, including clinical geneticists and genetic counselors, and nonexpert clinicians including primary care providers and cardiologists. RESULTS:Clinical geneticists and genetic counselors reported spending significant time assessing the validity of results from genetic testing laboratories, conversing with laboratories about those results, and potentially reinterpreting results. Conversely, primary care providers and cardiologists without specific genetics expertise reported high levels of trust in laboratory accuracy and variant interpretation, and did not reassess results. CONCLUSION:We find significant variation in how genetics experts and nonexperts understand the trustworthiness of genetic laboratory reports. This variation could lead to differences in patient care between clinical settings and requires additional guidance for clinicians regarding the handling of genetic test results.

BACKGROUND AND OBJECTIVES/UNASSIGNED:Operating rooms (ORs) are critical for hospital revenue and cost management, with utilization efficiency directly affecting financial outcomes. Traditional surgical scheduling often results in suboptimal OR use. We aim to build a machine learning (ML) model to predict incision times for robotic-assisted hysterectomies, enhancing scheduling accuracy and hospital finances. METHODS/UNASSIGNED:A retrospective study was conducted using data from robotic-assisted hysterectomy cases performed between January 2017 and April 2021 across 3 hospitals within a large academic health system. Cases were filtered for surgeries performed by high-volume surgeons and those with an incision time of under 3 hours (n = 2,702). Features influencing incision time were extracted from electronic medical records and used to train 5 ML models (linear ridge regression, random forest, XGBoost, CatBoost, and explainable boosting machine [EBM]). Model performance was evaluated using a dynamic monthly update process and novel metrics such as wait-time blocks and excess-time blocks. RESULTS/UNASSIGNED: < .001, 95% CI [-329 to -89]), translating to approximately 52-hours over the 51-month study period. The model predicted more surgeries within a 15% range of the true incision time compared to traditional methods. Influential features included surgeon experience, number of additional procedures, body mass index (BMI), and uterine size. CONCLUSION/UNASSIGNED:The ML model enhanced the prediction of incision times for robotic-assisted hysterectomies, providing a potential solution to reduce OR underutilization and increase surgical throughput and hospital revenue.

BACKGROUND:Metabolic dysfunction-associated steatotic liver disease (MASLD, formerly known as NAFLD) is a major driver of cirrhosis and liver-related mortality. However, therapeutic options for MASLD, including prevention of liver steatosis, are limited. We previously described that vasoactive intestinal peptide-producing neurons (VIP-neurons) regulate the efficiency of intestinal dietary fat absorption and IL-22 production by type 3 innate lymphoid cells (ILC3) in the intestine. Given the described hepatoprotective role of IL-22, we hypothesize that modulation of this neuroimmune circuit could potentially be an innovative approach for the control of liver steatosis. METHODS:We used a model of diet-induced MASLD by exposing mice to a high-fat diet (HFD) for 16 weeks, when the development of liver steatosis was first observed in our animals. We characterized IL-22 production by intestinal ILC3 at this dietary endpoint. We then evaluated whether communication between VIP-neurons and ILC3 affected IL-22 production and MASLD development by exposing mice with a conditional genetic deletion of Vipr2 in ILC3 (Rorc(t)CreVipr2fl/fl) to the HFD. We also performed intermittent global inhibition of VIP-neurons using a chemogenetic inhibitory approach (VipIres-CrehM4DiLSL) in HFD-fed mice. RESULTS:Production of IL-22 by intestinal ILC3 is reduced in steatotic mice that were exposed to an HFD for 16 weeks. Targeted deletion of VIP receptor 2 in ILC3 resulted in higher production of IL-22 in ILC3 and was associated with a significant reduction in liver steatosis in mice under HFD. Global inhibition of VIP-producing neurons also resulted in a significant reduction in liver steatosis. CONCLUSIONS:Modulating VIPergic neuroimmune signaling can ameliorate the development of hepatic steatosis induced by a surplus of fat ingestion in the diet. This neuroimmune pathway should be further investigated as a potential therapeutic avenue in MASLD.