Faculty Bibliography

IMPORTANCE/OBJECTIVE:The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic has evolved through multiple phases in the United States, with significant differences in patient centered outcomes with improvements in hospital strain, medical countermeasures, and overall understanding of the disease. We describe how patient characteristics changed and care progressed over the various pandemic phases; we also emphasize the need for an ongoing clinical network to improve the understanding of known and novel respiratory viral diseases. OBJECTIVES/OBJECTIVE:To describe how patient characteristics and care evolved across the various COVID-19 pandemic periods in those hospitalized with viral severe acute respiratory infection (SARI). DESIGN/METHODS:Severe Acute Respiratory Infection-Preparedness (SARI-PREP) is a Centers for Disease Control and Prevention Foundation-funded, Society of Critical Care Medicine Discovery-housed, longitudinal multicenter cohort study of viral pneumonia. We defined SARI patients as those hospitalized with laboratory-confirmed respiratory viral infection and an acute syndrome of fever, cough, and radiographic infiltrates or hypoxemia. We collected patient-level data including demographic characteristics, comorbidities, acute physiologic measures, serum and respiratory specimens, therapeutics, and outcomes. Outcomes were described across four pandemic variant periods based on a SARS-CoV-2 sequenced subsample: pre-Delta, Delta, Omicron BA.1, and Omicron post-BA.1. SETTING/METHODS:Multicenter cohort of adult patients admitted to an acute care ward or ICU from seven hospitals representing diverse geographic regions across the United States. PARTICIPANTS/METHODS:Patients with SARI caused by infection with respiratory viruses. MAIN OUTCOMES AND RESULTS/RESULTS:Eight hundred seventy-four adult patients with SARI were enrolled at seven study hospitals between March 2020 and April 2023. Most patients (780, 89%) had SARS-CoV-2 infection. Across the COVID-19 cohort, median age was 60 years (interquartile range, 48.0-71.0 yr) and 66% were male. Almost half (430, 49%) of the study population belonged to underserved communities. Most patients (76.5%) were admitted to the ICU, 52.5% received mechanical ventilation, and observed hospital mortality was 25.5%. As the pandemic progressed, we observed decreases in ICU utilization (94% to 58%), hospital length of stay (median, 26.0 to 8.5 d), and hospital mortality (32% to 12%), while the number of comorbid conditions increased. CONCLUSIONS AND RELEVANCE/CONCLUSIONS:We describe increasing comorbidities but improved outcomes across pandemic variant periods, in the setting of multiple factors, including evolving care delivery, countermeasures, and viral variants. An understanding of patient-level factors may inform treatment options for subsequent variants and future novel pathogens.

KEY POINTS:This study highlights that AKI is associated with long-term cognitive decline. Soluble TNF receptor 1 concentrations seem to mediate a significant proportion of the risk of long-term cognitive impairment after AKI. BACKGROUND:Cognitive dysfunction is a well-known complication of CKD, but it is less known whether cognitive decline occurs in survivors after AKI. We hypothesized that an episode of AKI is associated with poorer cognitive function, mediated, at least in part, by persistent systemic inflammation. METHODS:Assessment, Serial Evaluation and Subsequent Sequelae of AKI enrolled patients surviving 3 months after hospitalization with and without AKI matched on the basis of demographics, comorbidities, and baseline kidney function. A subset underwent cognitive testing using the modified mini-mental status examination (3MS) at 3, 12, and 36 months. We examined the association of AKI with 3MS scores using mixed linear models and assessed the proportion of risk mediated by systemic inflammatory biomarkers. RESULTS:= 0.02) of the AKI-related risk for 3MS scores at 3 years. CONCLUSIONS:AKI was associated with lower 3MS scores, and Soluble TNF receptor 1 concentrations seemed to mediate a significant proportion of the risk of long-term cognitive impairment. Further work is needed to determine whether AKI is causal or a marker for cognitive impairment.

The influence of the social environment on health behaviors is well documented. In recent years, there is mounting evidence of the health benefits of a plant-based eating pattern, yet little is known about how the social environment impacts the adoption of a plant-based eating pattern, specifically. In this convergent parallel mixed-methods study, we analyzed quantitative survey data and qualitative focus group data to assess how social support impacted participants of a lifestyle medicine intervention focused on the adoption of a plant-predominant eating pattern. Regression analysis of survey data showed a positive association between positive social support and healthy plant-based eating, while no association was found between negative social support and healthy plant-based eating. Focus groups yielded further insights into how positive aspects of social relationships with family and friends facilitated the adoption of plant-predominant eating among participants. Qualitative findings also showed the ways in which negative social support hindered progress to adopt a plant-predominant eating pattern including not eating the same foods as participants, being judgmental about new dietary behaviors, and encouraging participants to eat non-plant-based foods. Taken together, social support appears to be an important factor for individuals adopting a plant-predominant eating pattern. Future research is needed to explore mechanisms to enhance positive social support while mitigating negative aspects of social relationships for individuals participating in similar lifestyle medicine interventions that emphasize on plant-predominant eating.

HIV-associated wasting (HIVAW) is an underappreciated AIDS-defining illness, despite highly effective antiretroviral therapy (ART). We (a) assessed the association between incident HIVAW/low weight and all-cause mortality and (b) described virologic outcomes after people with HIV (PWH) experienced HIVAW/low weight while on ART. In the Observational Pharmaco-Epidemiology Research & Analysis (OPERA^®) cohort, PWH without prior HIVAW/low weight who were active in care in 2016-2020 were followed through the first of the following censoring events: death, loss to follow-up, or study end (October 31, 2021). HIVAW/low weight was a diagnosis of wasting or low body mass index (BMI)/underweight or a BMI measurement <20 kg/m². Hazard ratios (HRs) and 95% confidence intervals (CIs) for the association between time-dependent HIVAW/low weight and mortality were estimated with extended Cox regression models. Over a median follow-up of 45 months (interquartile range: 27, 65), there were 4,755 (8%) cases of HIVAW/low weight and 1,354 (2%) deaths among 62,314 PWH. PWH who experienced HIVAW/low weight had a significantly higher risk of death than those who did not (HR: 1.96; 95% CI: 1.68, 2.27) after adjusting for age, race, ethnicity, and changes in viral load (VL) and Veterans Aging Cohort Study Mortality Index scores over follow-up. Among 4,572 PWH on ART at HIVAW/low weight, 68% were suppressed (VL of <200 copies/mL); subsequent virologic failure was uncommon (7%). Among viremic PWH, 70% and 60% achieved suppression and undetectability (VL of <50 copies/mL), respectively, over follow-up. HIVAW remains a challenge for some PWH. Particular attention needs to be paid to HIVAW/low weight and virologic control to restore health and potentially reduce the risk of death.

BACKGROUND:Healthcare crowdsourcing events (e.g. hackathons) facilitate interdisciplinary collaboration and encourage innovation. Peer-reviewed research has not yet considered a healthcare crowdsourcing event focusing on generative artificial intelligence (GenAI), which generates text in response to detailed prompts and has vast potential for improving the efficiency of healthcare organizations. Our event, the New York University Langone Health (NYULH) Prompt-a-thon, primarily sought to inspire and build AI fluency within our diverse NYULH community, and foster collaboration and innovation. Secondarily, we sought to analyze how participants' experience was influenced by their prior GenAI exposure and whether they received sample prompts during the workshop. METHODS:Executing the event required the assembly of an expert planning committee, who recruited diverse participants, anticipated technological challenges, and prepared the event. The event was composed of didactics and workshop sessions, which educated and allowed participants to experiment with using GenAI on real healthcare data. Participants were given novel "project cards" associated with each dataset that illuminated the tasks GenAI could perform and, for a random set of teams, sample prompts to help them achieve each task (the public repository of project cards can be found at https://github.com/smallw03/NYULH-Generative-AI-Prompt-a-thon-Project-Cards). Afterwards, participants were asked to fill out a survey with 7-point Likert-style questions. RESULTS:Our event was successful in educating and inspiring hundreds of enthusiastic in-person and virtual participants across our organization on the responsible use of GenAI in a low-cost and technologically feasible manner. All participants responded positively, on average, to each of the survey questions (e.g., confidence in their ability to use and trust GenAI). Critically, participants reported a self-perceived increase in their likelihood of using and promoting colleagues' use of GenAI for their daily work. No significant differences were seen in the surveys of those who received sample prompts with their project task descriptions. CONCLUSION/CONCLUSIONS:The first healthcare Prompt-a-thon was an overwhelming success, with minimal technological failures, positive responses from diverse participants and staff, and evidence of post-event engagement. These findings will be integral to planning future events at our institution, and to others looking to engage their workforce in utilizing GenAI.

The field of interventional cardiology (IC) has evolved dramatically over the past 40 years. Training and certification in IC have kept pace, with the development of accredited IC fellowship training programs, training statements, and subspecialty board certification. The application process, however, remained fragmented with lack of a universal process or time frame. In recent years, growing competition among training programs for the strongest candidates resulted in time-limited offers and high-pressure situations that disadvantaged candidates. A grassroots effort was recently undertaken by a Society for Cardiovascular Angiography & Interventions task force, to create equity in the system by establishing a national Match for IC fellowship. This manuscript explores the rationale, process, and implications of this endeavor.

Helmink MAG, Hageman SHJ, Eliasson B, et al. Lifetime and 10-year cardiovascular risk prediction in individuals with type 1 diabetes: the LIFE-T1D model. Diabetes Obes Metab. 2024;26:2229-2238. 38456579.

BACKGROUND:Medical distrust may hinder kidney transplantation (KT) access. Among KT candidates evaluated for waitlisting, we identified factors associated with high distrust levels and quantified their association with waitlisting. METHODS:Among 812 candidates (2018-2023), we assessed distrust using the Revised Health Care System Distrust Scale across composite, competence, and values subscales. We used linear regression to quantify the associations between candidate and neighborhood-level factors and distrust scores. We used Cox models to quantify the associations between distrust scores and waitlisting. RESULTS:At KT evaluation, candidates who were aged 35-49 years (difference = 1.97, 95% CI: 0.78-3.16), female (difference = 1.10, 95% CI: 0.23-1.97), and Black (difference = 1.47, 95% CI: 0.47-2.47) were more likely to report higher composite distrust score. For subscales, candidates aged 35-49 were more likely to have higher competence distrust score (difference = 1.14, 95% CI: 0.59-1.68) and values distrust score (difference = 0.83, 95% CI: 0.05-1.61). Race/ethnicity (Black, difference = 1.42, 95% CI: 0.76-2.07; Hispanic, difference = 1.52, 95% CI: 0.35-2.69) was only associated with higher values distrust scores. Female candidates reporting higher rescaled values distrust scores (each one point) had a lower chance of waitlisting (aHR = 0.78, 95% CI: 0.63-0.98), whereas this association was not observed among males. Similarly, among non-White candidates, each 1-point increase in both rescaled composite (aHR = 0.87, 95% CI: 0.77-0.99) and values (aHR = 0.82, 95% CI: 0.68-0.99) distrust scores was associated with a lower chance of waitlisting, while there was no association among White candidates. CONCLUSION/CONCLUSIONS:Female, younger, and non-White candidates reported higher distrust scores. Values distrust may contribute to the long-standing racial/ethnic and gender disparities in access to KT. Implementing tailored strategies to reduce distrust in transplant care may improve KT access for groups that experience persistent disparities.

BACKGROUND:Individuals with substance use disorders (SUDs) have increased risk for developing chronic conditions, though few studies assess rates of diagnosis of these conditions among patients with SUDs. OBJECTIVE:To compare rates of undiagnosed hypertension and diabetes among patients with and without an SUD. DESIGN/METHODS:Cross-sectional analysis using electronic health record (EHR) data from 58 primary care clinics at a large, urban, healthcare system in New York. PARTICIPANTS/METHODS:Patients who had at least two primary care visits from 2019-2022 were included in our patient sample. Patients without an ICD-10 hypertension diagnosis or prescribed hypertension medications and with at least two blood pressure (BP) readings ≥ 140/90 mm were labeled 'undiagnosed hypertension,' and patients without a diabetes diagnosis or prescribed diabetes medications and with A1C/hemoglobin ≥ 6.5% were labeled 'undiagnosed diabetes.' MAIN MEASURES/METHODS:We calculated the mean number of patients with and without an ICD-10 SUD diagnosis who were diagnosed and undiagnosed for each condition. We used multivariate logistic regression to assess the association between being undiagnosed for each condition, and having an SUD diagnosis, patient demographic characteristics, clinical characteristics (body mass index, Elixhauser comorbidity count, diagnosed HIV and psychosis), the percentage of visits without a BP screening, and the total number of visits during the time period. KEY RESULTS/RESULTS:The percentage of patients with undiagnosed hypertension (2.74%) and diabetes (22.98%) was higher amongst patients with SUD than patients without SUD. In multivariate models, controlling for other factors, patients with SUD had significantly higher odds of having undiagnosed hypertension (OR: 1.81; 95% CI: 1.48, 2.20) and undiagnosed diabetes (OR: 1.93; 1.72, 2.16). Being younger, female, and having an HIV diagnosis was also associated with significantly higher odds for being undiagnosed. CONCLUSIONS:We found significant disparities in rates of undiagnosed chronic diseases among patients with SUDs, compared with patients without SUDs.