Faculty Bibliography

Indiscriminate use of predictive models incorporating race can reinforce biases present in source data and lead to an exacerbation of health disparities. In some countries, such as the United States, there is therefore a push to remove race from prediction models; however, there are still many prediction models that use race as an input. Biomedical informaticists who are given the responsibility of using these predictive models in healthcare environments are likely to be faced with questions like how to deal with race covariates in these models. Thus, there is a need for a pragmatic framework to help model users think through how to include race in their chosen model so as to avoid inadvertently exacerbating disparities. In this paper, we use the case study of lung cancer screening to propose a simple framework to guide how model users can approach the use (or non-use) of race inputs in the predictive models they are tasked with leveraging in electronic health records and clinical workflows.

OBJECTIVES:This study aimed to describe addiction treatment facilities by their offerings of medications for alcohol use disorder (MAUD) and/or for opioid use disorder (MOUD), and by their offering services to groups with barriers to care: uninsured and publicly insured, youth, seniors, individuals preferring to receive care in Spanish, and sexual minority individuals. METHODS:We examined addiction treatment facility survey data in 6 US states. We performed bivariate analyses comparing facilities that offered MAUD, MOUD, and both (main outcomes). We then constructed a multivariable model to identify predictors of offering MAUD, MOUD, or both, including exposures that demonstrate programming for special populations. RESULTS:Among 2474 facilities, 1228 (50%) responded between October 2019 and January 2020. Programs were offered for youth (30%), elderly (40%), Spanish-speaking (37%), and sexual minority populations (39%), with 58% providing MAUD, 67% providing MOUD, and 56% providing both. Among those providing MAUD, MOUD, or both, a majority (>60% for all exposures) offered programming to vulnerable populations. With Delaware as reference, Louisiana (adjusted odds ratio [aOR], 0.28; 95% confidence interval [CI], 0.12-0.67) and North Carolina (aOR, 0.33; 95% CI, 0.15-0.72) facilities had lesser odds of offering both MAUD and MOUD. All exposures identifying facilities offering treatment to vulnerable groups were associated with offerings of MAUD and/or MOUD except for offerings to youth; these facilities had less odds of offering MOUD (aOR, 0.31; 95% CI, 0.31-0.62). CONCLUSIONS:There are facility-level disparities in providing MAUD and MOUD by state, and facilities with youth programming have lesser odds of offering MOUD than other facilities.

BACKGROUND:High rates of vaccination and natural infection drive immunity and redirect selective viral adaptation. Updated boosters are installed to cope with drifted viruses, yet data on adaptive evolution under increasing immune pressure in a real-world situation are lacking. METHODS:Cross-sectional study to characterise SARS-CoV-2 mutational dynamics and selective adaptation over >1 year in relation to vaccine status, viral phylogenetics, and associated clinical and demographic variables. FINDINGS/RESULTS:The study of >5400 SARS-CoV-2 infections between July 2021 and August 2022 in metropolitan New York portrayed the evolutionary transition from Delta to Omicron BA.1-BA.5 variants. Booster vaccinations were implemented during the Delta wave, yet booster breakthrough infections and SARS-CoV-2 re-infections were almost exclusive to Omicron. In adjusted logistic regression analyses, BA.1, BA.2, and BA.5 had a significant growth advantage over co-occurring lineages in the boosted population, unlike BA.2.12.1 or BA.4. Selection pressure by booster shots translated into diffuse adaptive evolution in Delta spike, contrasting with strong, receptor-binding motif-focused adaptive evolution in BA.2-BA.5 spike (Fisher Exact tests; non-synonymous/synonymous mutation rates per site). Convergent evolution has become common in Omicron, engaging spike positions crucial for immune escape, receptor binding, or cleavage. INTERPRETATION/CONCLUSIONS:Booster shots are required to cope with gaps in immunity. Their discriminative immune pressure contributes to their effectiveness but also requires monitoring of selective viral adaptation processes. Omicron BA.2 and BA.5 had a selective advantage under booster vaccination pressure, contributing to the evolution of BA.2 and BA.5 sublineages and recombinant forms that predominate in 2023. FUNDING/BACKGROUND:The study was supported by NYU institutional funds and partly by the Cancer Center Support Grant P30CA016087 at the Laura and Isaac Perlmutter Cancer Center.

PURPOSE:The purpose of this study was to determine whether a combined music pharmacological intervention was an effective multimodal approach to reduce adult pain in the postanesthesia care unit (PACU). DESIGN:A prospective, randomized control trial study. METHODS:Participants were recruited in the preoperative holding area on the day of surgery by the principal investigators. Music was selected by the patient following the informed consent process. Participants were randomized either to the intervention group or the control group. Patients in the intervention group received music in addition to standard pharmacological protocol while the control group received only the standard pharmacological protocol. Measured outcomes were change in visual analog pain scores and length of stay. FINDINGS:In this cohort (N = 134), 68 participants (50.7%) received the intervention, and 66 participants (49.3%) were in the control group. Paired t tests showed that pain scores for the control group worsened by an average of 1.45-points (95% CI: 0.75, 2.15; P < .001) compared to 0.34-points in the intervention group and was not significant (P = .314) as scores went from 1 out of 10 to 1.4 out of 10. Both control and intervention groups experienced pain, with the control group's overall pain scores worsening over time. This finding was statistically significant (P = .023). No statistically significant difference was noted in the average PACU length of stay (LOS). CONCLUSIONS:The addition of music to the standard postoperative pain protocol demonstrated a lower average pain score on discharge from the PACU. The absence of a difference in LOS may be due to the confounding variables (eg, general versus spinal anesthesia or a difference in voiding time).

Discrepancy between computed tomography (CT) and transthoracic echocardiography (TTE) regarding pericardial effusion (PEff) size is common, but there is limited data regarding the correlation between these 2 imaging methods. The aim of this study is to examine the real-world concordance of observed PEff size between CT and TTE. We performed a retrospective analysis of all imaging reports available from 2013 to 2019 and identified patients with a PEff who underwent both a chest CT and TTE within a 24-hour period. We evaluated the agreement between CT and TTE in assessing PEff size. Of 1,118 patients included in the study, mean age was 66 (±17 years) and 54% were female. The median time interval between the 2 studies was 9.4 hours (interquartile range 3.5 to 16.6). Patients within a half-grade or full-grade of agreement were 71.9% and 97.2%, respectively. The mean difference in grade of agreement (TTE minus CT) between the 2 imaging methods was -0.1 (±0.6, p <0.0001). CT was more likely to report a higher grade (i.e. larger PEff size) when compared with TTE (261 patients vs 157 patients, p <0.001). The weighted kappa was 0.73 (95% confidence interval 0.69 to 0.76). After excluding patients with trace/no effusion, 42.3% and 94.1% of patients' studies were within a half-grade or full-grade of agreement, respectively. Of the 18 patients who had large discrepancies, 9 patients had loculated effusions, 2 patients had large pleural effusions, and 6 patients had suboptimal TTEs images. In conclusion, TTE and CT showed relatively strong agreement in estimation of PEff size, with CT sizes larger than TTE, on average. Large discrepancies in size may be related to reduced image quality, large pleural effusions, and loculated PEff.

BACKGROUND/UNASSIGNED:The transition to telehealth during the COVID-19 pandemic revealed a lack of preexisting telehealth training for clinicians. As a workplace-based simulation methodology designed to improve virtual clinical skills, announced standardized patients (ASPs) may help meet evolving educational needs to sustain quality telehealth care. OBJECTIVE/UNASSIGNED:We describe the development and implementation of an ASP program to assess and provide feedback to resident and faculty clinicians in virtual practice, and report on performance, feasibility, and acceptability. METHODS/UNASSIGNED:From June 2021 to April 2022, resident and faculty clinicians at a VA primary care clinic participated in a video visit in which an ASP portrayed either a 70-year-old man with hearing loss and hypertension or a 60-year-old man with hypertension and financial stress. Following the visit, ASPs provided verbal feedback and completed a behaviorally anchored checklist to rate telehealth and communication skills, chronic disease management, and use of resources. Domain summary scores were calculated as the mean percentage of "well done" items. Participants completed a feedback survey on their experience. RESULTS/UNASSIGNED:Seventy-six televisits (60 primary care residents [postgraduate year 1-3], 16 internal medicine faculty) were conducted from August 2021 to April 2022. Clinicians performed well in communication skills: information gathering (79%, 60 of 76, well done), relationship development (67%, 51 of 76), education and counseling (71%, 54 of 76), and patient satisfaction (86%, 65 of 76). They performed less well in telemedicine skills (38%, 29 of 76). Participants agreed that the experience was a good use of their time (88%, 67 of 76). CONCLUSIONS/UNASSIGNED:An ASP-facilitated training for resident and faculty clinicians assessed telehealth skills and clinical practice and identified areas for intervention. Clinicians responded well to the training and feedback.

BACKGROUND/UNASSIGNED:Advancements in medical technology, healthcare delivery, and organ allocation resulted in improved patient/graft survival for older (age ≥65) kidney transplant (KT) recipients. However, the recent trends in these post-KT outcomes are uncertain in light of the mounting burden of cardiovascular disease, changing kidney allocation policies, heterogeneity in candidates' risk profile, and the coronavirus disease 2019 pandemic. Thus, we examined secular trends in post-KT outcomes among older and younger KT recipients over the last 3 decades. METHODS/UNASSIGNED:We identified 73 078 older and 378 800 younger adult (aged 18-64) recipients using Scientific Registry of Transplant Recipients (1990-2022). KTs were grouped into 6 prepandemic eras and 1 postpandemic-onset era. Kaplan-Meier and Cox proportional hazards models were used to examine temporal trends in post-KT mortality and death-censored graft failure. RESULTS/UNASSIGNED:From 1990 to 2022, a 19-fold increase in the proportion of older KT recipients was observed compared to a 2-fold increase in younger adults despite a slight decline in the absolute number of older recipients in 2020. The mortality risk for older recipients between 2015 and March 14, 2020, was 39% (adjusted hazard ratio [aHR] = 0.61, 95% confidence interval [CI], 0.50-0.75) lower compared to 1990-1994, whereas that for younger adults was 47% lower (aHR = 0.53, 95% CI, 0.48-0.59). However, mortality risk during the pandemic was 25% lower (aHR = 0.75, 95% CI, 0.61-0.93) in older adults and 37% lower in younger adults (aHR = 0.63, 95% CI, 0.56-0.70) relative to 1990-1994. For both populations, the risk of graft failure declined over time and was unaffected during the pandemic relative to the preceding period. CONCLUSIONS/UNASSIGNED:The steady improvements in 5-y mortality and graft survival were disrupted during the pandemic, particularly among older adults. Specifically, mortality among older adults reflected rates seen 20 y prior.

Research has linked spatial concentrations of incarceration with racial disparities in adverse birth outcomes. However, little is known about the specific mechanisms of this association. This represents an important knowledge gap in terms of intervention. We theorize two pathways that may account for the association between county-level prison rates and adverse birth outcomes: (1) community-level mental distress and (2) reduced health care access. Examining these mechanisms, we conducted a cross-sectional study of county-level prison rates, community-level mental distress, health insurance, availability of primary care physicians (PCP) and mental health providers (MHP), and adverse birth outcomes (preterm birth, low birth weight, infant mortality). Our data set included 475 counties and represented 2,677,840 live U.S. births in 2016. Main analyses involved between 170 and 326 counties. All data came from publicly available sources, including the U.S. Census and the Centers for Disease Control and Prevention. Descriptive and regression results confirmed the link between prison rates and adverse birth outcomes and highlighted Black-White inequities in this association. Further, bootstrap mediation analyses indicated that the impact of spatially concentrated prison rates on preterm birth was mediated by PCP, MHP, community-level mental distress, and health insurance in both crude and adjusted models. Community-level mental distress and health insurance (but not PCP or MHP) similarly mediated low birthweight in both models. Mediators were less stable in the effect on infant mortality with only MHP mediating consistently across models. We conclude that mass incarceration, health care access, and community mental distress represent actionable and urgent targets for structural-, community-, and individual-level interventions targeting population inequities in birth outcomes.

Urinary tract infections (UTIs) are the second most prevalent bacterial infections and uropathogenic Escherichia coli (UPEC) stands among the primary causative agents of UTIs. The usage of antibiotics is the routine therapy being used in various countries to treat UTIs but becoming ineffective because of increasing antibiotic resistance among UPEC strains. Thus, there must be the development of some alternative treatment strategies such as vaccine development against UPEC. In the following study, pan-genomics along with reverse vaccinology approaches is used under the framework of bioinformatics for the identification of core putative vaccine candidates, employing 307 UPEC genomes (complete and draft), available publicly. A total of nine T-cell epitopes (derived from B-cells) of both MHC classes (I and II), were prioritized among three potential protein candidates. These epitopes were then docked together by using linkers (GPGPG and AAY) and an adjuvant (Cholera Toxin B) to form a poly-valent vaccine construct. The chimeric vaccine construct was undergone by molecular modelling, further refinement and energy minimization. We predicted positive results of the vaccine construct in immune simulations with significantly high levels of immune cells. The protein-protein docking analysis of vaccine construct with toll-like receptors predicted efficient binding, which was further validated by molecular dynamics simulation of vaccine construct with TLR-2 and TLR-4 at 120 ns, resulting in stable complexes' conformation throughout the simulation run. Overall, the vaccine construct demonstrated positive antigenic response. In future, this chimeric vaccine construct or the identified epitopes could be experimentally validated for the development of UPEC vaccines against UTIs.Communicated by Ramaswamy H. Sarma.