Faculty Bibliography

INTRODUCTION/BACKGROUND:In Africa, 75% of households are exposed to household air pollution (HAP), a key contributor to cardiovascular disease (CVD). In Nigeria, 90 million households rely on solid fuels for cooking, and 40% of adults have hypertension. Though clean fuel and clean stove (CF-CS) technologies can reduce HAP and CVD risk, their adoption in Africa remains limited. METHODS AND ANALYSIS/METHODS:Using the Exploration, Preparation, Implementation and Sustainment framework, this cluster-randomised controlled trial evaluates the implementation and effectiveness of a community mobilisation (CM) strategy versus a self-directed condition (i.e., receipt of information on CF-CS use without CM) on adoption of CF-CS technologies and systolic blood pressure (SBP) reduction among 1248 adults from 624 households across 32 peri-urban communities in Lagos, Nigeria. The primary outcome is CF-CS adoption at 12 months; secondary outcomes are SBP reduction at 12 months and sustainability of CF-CS use at 24 months. Adoption is assessed via objective monitoring of stove usage with temperature-triggered iButton sensors. SBP is assessed in 2 adults per household using validated automated blood pressure monitor. Generalised linear mixed-effects regression models will be used to assess study outcomes, accounting for clustering at the level of the peri-urban communities (unit of randomisation) and households. To date, randomisation is completed, and a total of 1248 households have enrolled in the study. The final completion of the study is expected in June 2026. ETHICS AND DISSEMINATION/BACKGROUND:The study was approved by the Institutional Review Boards (IRB) of NYU Grossman School of Medicine (primary IRB of record; protocol ID: i21-00586; Version 6.0 approved on 4 June 2024), and Lagos State University Teaching Hospital (protocol ID: LREC 06/10/1621). Written consent was obtained from all participants. Findings will inform scalable and culturally appropriate strategies for reducing HAP and CVD risk in low-resource settings. Results will be disseminated through peer-reviewed publications, conference presentations and stakeholder engagements. TRIAL REGISTRATION NUMBER/BACKGROUND:NCT05048147.

OBJECTIVE:Mismatch repair deficiency (dMMR), high microsatellite instability (MSI-H), and high tumor mutation burden (TMB-H) are predictive and prognostic biomarkers in endometrial cancer. We aimed to characterize the racial/ethnic distribution of molecular markers and the clinical characteristics among endometrial cancer patients with TMB-H and MSI-H/dMMR. METHODS:The Endometrial Cancer Molecularly Targeted Therapy Consortium is a centrally verified clinical and molecular repository. Patients with endometrial cancer who underwent tumor profiling were included. TMB-H was defined as ≥10-12 mutations per megabase. MSI-H was determined by next-generation sequencing or polymerase chain reaction, and dMMR by loss of MLH1, MSH2, MSH6, or PMS2 on immunohistochemistry. Tumor biomarker positivity was defined as TMB-H and/or MSI-H/dMMR. Overall survival was assessed using Kaplan-Meier and Cox proportional hazard models. RESULTS:Among 742 patients, 22 % (n = 164) were biomarker positive: 12 % (n = 87) had both TMB-H and MSI-H/dMMR, 8 % (n = 63) had MSI-H/dMMR alone, and 2 % (n = 14) had 14 TMB-H alone. Only 9 % of non-Hispanic Black patients had biomarker positive tumors compared to 26 % of patients from other racial/ethnic groups. Pathogenic POLE mutations were rare (<1 %, n = 5). Patients with TMB-H had a higher proportion of high-risk histologies (43 %) than those with MSI-H/dMMR (24 %). Biomarker positive tumors were associated with a lower risk of death compared to biomarker negative tumors (aHR 0.63, 95 % CI: 0.46, 0.88). CONCLUSION/CONCLUSIONS:Less than 10 % of non-Hispanic Black patients with endometrial cancer had TMB-H and/or MSI-H/dMMR, and biomarker positivity was associated with improved survival. Prospective studies are necessary to elucidate how these molecular differences impact treatment and outcomes.

INTRODUCTION/UNASSIGNED:A learning health system (LHS) approach is a collaborative model that continuously examines, evaluates, and re-evaluates data eventually transforming it into knowledge. High quantity of high-quality data are needed to establish this model. The purpose of this article is to describe the collaborative discovery process used to identify and standardize clinical data documented during daily multidisciplinary inpatient rehabilitation that would then allow access to these data to conduct comparative effectiveness research. METHODS/UNASSIGNED:CARE4TBI is a prospective observational research study designed to capture clinical data within the standard inpatient rehabilitation documentation workflow at 15 TBI Model Systems Centers in the US. Three groups of stakeholders guided project development: therapy representative work group (TRWG) consisting of frontline therapists from occupational, physical, speech-language, and recreational therapies; rehabilitation leader representative group (RLRG); and informatics and information technology team (IIT). Over a 12-month period, the three work groups and research leadership team identified the therapeutic components captured within daily documentation throughout the duration of inpatient TBI rehabilitation. RESULTS/UNASSIGNED:Data brainstorming among the groups created 98 distinct categories of data with each containing a range of data elements comprising a total of 850 discrete data elements. The free-form data were sorted into three large categories and through review and discussion, reduced to two categories of prospective data collection-session-level and therapy activity-level data. Twelve session data elements were identified, and 54 therapy activities were identified, with each activity containing discrete sub-categories for activity components, method of delivery, and equipment or supplies. A total of 561 distinct meaningful data elements were identified across the 54 activities. DISCUSSION/UNASSIGNED:The CARE4TBI data discovery process demonstrated feasibility in identifying and capturing meaningful high quantity and high-quality treatment data across multiple disciplines and rehabilitation sites, setting the foundation for a LHS coalition for acute traumatic brain injury rehabilitation.

OBJECTIVE:This study aimed to identify characteristics of patients with frequent obstetric triage visits ("superusers") compared to those with fewer visits and to evaluate the association of frequent obstetric triage visits with preterm birth and cesarean delivery. STUDY DESIGN:This retrospective cohort included patients presenting to the obstetric triage unit at a tertiary care center from March through April 2014. Superusers were defined as individuals having four or more triage visits. Participant characteristics, including demographic, clinical, visit acuity, and health care characteristics of superusers and nonsuperusers, were summarized and compared. In the subset of patients where data were available regarding prenatal care, prenatal visit patterns were analyzed and compared between the two groups. The outcomes of preterm birth and cesarean were compared between groups using modified Poisson regression to control for confounding. RESULTS:Of the 656 patients evaluated in the obstetric triage unit during the study period, 648 patients met the inclusion criteria. Factors associated with frequent triage use included race/ethnicity, multiparity, insurance status, high-risk pregnancy, and a prior preterm birth. Superusers were more likely to present at an earlier gestational age and had a higher proportion of visits for hypertensive disease. Patient acuity scores were not different between the groups. In the subset of patients receiving prenatal care at the institution, prenatal visit patterns were similar. The risk of preterm birth (adjusted risk ratio [aRR]: 1.06; 95% confidence interval [CI]: 0.66-1.70) did not differ between groups; however, the risk of a cesarean delivery was increased in superusers (aRR: 1.39; 95% CI: 1.01-1.92) when compared to nonsuperusers. CONCLUSION:Superusers, compared to nonsuperusers, have distinct clinical and demographic characteristics and are more likely to be seen in the triage unit at earlier gestational ages. Superusers tended to have a higher proportion of visits for hypertensive disease and had an increased risk of cesarean delivery. KEY POINTS:· Patients with frequent triage visits did not have an increased risk of preterm birth.. · Patients with frequent triage visits were more likely to undergo cesarean delivery.. · Acuity scales were similar for patients with frequent visits compared to those with few visits..

BACKGROUND:Off-label treatment of extremely preterm infants with diuretics and inhaled corticosteroids (ICS) for evolving bronchopulmonary dysplasia (BPD) is common. Their effectiveness in reducing mortality or BPD severity, and optimal treatment timing, are unclear. OBJECTIVES/OBJECTIVE:To determine whether diuretic treatment or ICS administration for infants with early evolving (between 10-27 days postnatal) and progressively evolving (28th-day-36th-week postnatal) BPD are independently associated with reduced mortality and moderate or severe BPD at 36-weeks postmenstrual age (PMA). METHODS:We examined neonates born before 28 weeks' gestation and admitted to neonatal intensive care units on postnatal Day 0 between 2006 and 2016 using data collected during routine care recorded within the Paediatric Health Information System (PHIS). An early evolving BPD cohort consisted of infants treated with oxygen, positive pressure or mechanical ventilation at 10 days postnatal. The progressively evolving BPD cohort consisted of infants treated with these modalities at 28 days. In new users, we evaluated the effect of diuretic and ICS treatment on mortality or BPD severity at 36 weeks PMA, adjusting for time-dependent confounding by respiratory status using marginal structural models. RESULTS:Early evolving BPD was present in 10,135 patients; progressively evolving BPD in 11,728. New diuretic exposure during early evolving BPD (adjusted risk ratio [aRR] 0.77, 95% confidence interval [CI] 0.65, 0.93) was associated with decreased mortality or moderate/severe BPD risk. New diuretics (aRR 0.86, 95% CI 0.75, 0.99) during progressively evolving BPD between 28-days-36-weeks PMA were less strongly associated with mortality or moderate/severe BPD reduction. There was no strong association for ICS in patients with early evolving (aRR: 1.40; 95% CI: 0.79, 2.51) or progressively evolving BPD (aRR 1.16, 95% CI 0.95, 1.49). CONCLUSION/CONCLUSIONS:Diuretics, but not ICS, for evolving BPD were associated with mortality and BPD risk reduction.

BACKGROUND:Most patients with heart failure (HF) have multimorbidity which may cause difficulties with self-management. Understanding the resources patients draw upon to effectively manage their health is fundamental to designing new practice models to improve outcomes in HF. We describe the rationale, conceptual framework, and implementation of a multi-center survey of HF patients, characterize differences between responders and non-responders, and summarize patient characteristics and responses to the survey constructs among responders. METHODS:This was a multi-center cross-sectional survey study with linked electronic health record (EHR) data. Our survey was guided by the Chronic Care Model to understand the distribution of patient-centric factors, including health literacy, social support, self-management, and functional and mental status in patients with HF. Most questions were from existing validated questionnaires. The survey was administered to HF patients aged ≥ 30 years from 4 health systems in PCORnet® (the National Patient-Centered Clinical Research Network): Essentia Health, Intermountain Health, Mayo Clinic, and The Ohio State University. Each health system mapped their EHR data to a standardized PCORnet Common Data Model, which was used to extract demographic and clinical data on survey responders and non-responders. RESULTS:Across the 4 sites, 10,662 patients with HF were invited to participate, and 3330 completed the survey (response rate: 31%). Responders were older (74 vs. 71 years; standardized difference (95% CI): 0.18 (0.13, 0.22)), less racially diverse (3% vs. 12% non-White; standardized difference (95% CI): -0.32 (-0.36, -0.28)), and had higher prevalence of many chronic conditions than non-responders, and thus may not be representative of all HF patients. The internal reliability of the validated questionnaires in our survey was good (range of Cronbach's alpha: 0.50-0.96). Responders reported their health was generally good or fair, they frequently had cardiovascular comorbidities, > 50% had difficulty climbing stairs, and > 10% reported difficulties with bathing, preparing meals, and using transportation. Nearly 80% of patients had family or friends sit with them during a doctor visit, and 54% managed their health by themselves. Patients reported generally low perceived support for self-management related to exercise and diet. CONCLUSIONS:More than half of patients with HF managed their health by themselves. Increased understanding of self-management resources may guide the development of interventions to improve HF outcomes.

BACKGROUND/UNASSIGNED:Clinical trials are increasingly using Bayesian methods for their design and analysis. Inference in Bayesian trials typically uses simulation-based approaches such as Markov Chain Monte Carlo methods. Markov Chain Monte Carlo has high computational cost and can be complex to implement. The Integrated Nested Laplace Approximations algorithm provides approximate Bayesian inference without the need for computationally complex simulations, making it more efficient than Markov Chain Monte Carlo. The practical properties of Integrated Nested Laplace Approximations compared to Markov Chain Monte Carlo have not been considered for clinical trials. Using data from a published clinical trial, we aim to investigate whether Integrated Nested Laplace Approximations is a feasible and accurate alternative to Markov Chain Monte Carlo and provide practical guidance for trialists interested in Bayesian trial design. METHODS/UNASSIGNED:Data from an international Bayesian multi-platform adaptive trial that compared therapeutic-dose anticoagulation with heparin to usual care in non-critically ill patients hospitalized for COVID-19 were used to fit Bayesian hierarchical generalized mixed models. Integrated Nested Laplace Approximations was compared to two Markov Chain Monte Carlo algorithms, implemented in the software JAGS and stan, using packages available in the statistical software R. Seven outcomes were analysed: organ-support free days (an ordinal outcome), five binary outcomes related to survival and length of hospital stay, and a time-to-event outcome. The posterior distributions for the treatment and sex effects and the variances for the hierarchical effects of age, site and time period were obtained. We summarized these posteriors by calculating the mean, standard deviations and the 95% equitailed credible intervals and presenting the results graphically. The computation time for each algorithm was recorded. RESULTS/UNASSIGNED:The average overlap of the 95% credible interval for the treatment and sex effects estimated using Integrated Nested Laplace Approximations was 96% and 97.6% compared with stan, respectively. The graphical posterior densities for these effects overlapped for all three algorithms. The posterior mean for the variance of the hierarchical effects of age, site and time estimated using Integrated Nested Laplace Approximations are within the 95% credible interval estimated using Markov Chain Monte Carlo but the average overlap of the credible interval is lower, 77%, 85.6% and 91.3%, respectively, for Integrated Nested Laplace Approximations compared to stan. Integrated Nested Laplace Approximations and stan were easily implemented in clear, well-established packages in R, while JAGS required the direct specification of the model. Integrated Nested Laplace Approximations was between 85 and 269 times faster than stan and 26 and 1852 times faster than JAGS. CONCLUSION/UNASSIGNED:Integrated Nested Laplace Approximations could reduce the computational complexity of Bayesian analysis in clinical trials as it is easy to implement in R, substantially faster than Markov Chain Monte Carlo methods implemented in JAGS and stan, and provides near identical approximations to the posterior distributions for the treatment effect. Integrated Nested Laplace Approximations was less accurate when estimating the posterior distribution for the variance of hierarchical effects, particularly for the proportional odds model, and future work should determine if the Integrated Nested Laplace Approximations algorithm can be adjusted to improve this estimation.

BACKGROUND:The coronavirus disease 2019 pandemic highlighted the need to conduct efficient randomized clinical trials with interim monitoring guidelines for efficacy and futility. Several randomized coronavirus disease 2019 trials, including the Multiplatform Randomized Clinical Trial (mpRCT), used Bayesian guidelines with the belief that they would lead to quicker efficacy or futility decisions than traditional "frequentist" guidelines, such as spending functions and conditional power. We explore this belief using an intuitive interpretation of Bayesian methods as translating prior opinion about the treatment effect into imaginary prior data. These imaginary observations are then combined with actual observations from the trial to make conclusions. Using this approach, we show that the Bayesian efficacy boundary used in mpRCT is actually quite similar to the frequentist Pocock boundary. METHODS:The mpRCT's efficacy monitoring guideline considered stopping if, given the observed data, there was greater than 99% probability that the treatment was effective (odds ratio greater than 1). The mpRCT's futility monitoring guideline considered stopping if, given the observed data, there was greater than 95% probability that the treatment was less than 20% effective (odds ratio less than 1.2). The mpRCT used a normal prior distribution that can be thought of as supplementing the actual patients' data with imaginary patients' data. We explore the effects of varying probability thresholds and the prior-to-actual patient ratio in the mpRCT and compare the resulting Bayesian efficacy monitoring guidelines to the well-known frequentist Pocock and O'Brien-Fleming efficacy guidelines. We also contrast Bayesian futility guidelines with a more traditional 20% conditional power futility guideline. RESULTS:A Bayesian efficacy and futility monitoring boundary using a neutral, weakly informative prior distribution and a fixed probability threshold at all interim analyses is more aggressive than the commonly used O'Brien-Fleming efficacy boundary coupled with a 20% conditional power threshold for futility. The trade-off is that more aggressive boundaries tend to stop trials earlier, but incur a loss of power. Interestingly, the Bayesian efficacy boundary with 99% probability threshold is very similar to the classic Pocock efficacy boundary. CONCLUSIONS:In a pandemic where quickly weeding out ineffective treatments and identifying effective treatments is paramount, aggressive monitoring may be preferred to conservative approaches, such as the O'Brien-Fleming boundary. This can be accomplished with either Bayesian or frequentist methods.

PURPOSE/OBJECTIVE:Prior to cancer treatment, patients make decisions on whether to undergo fertility preservation (FP) and the method of FP. We sought to learn more about counseling and decision-making on the method of cancer-related FP. METHODS:A cross-sectional 26-item online survey was administered to patients with ovaries who underwent cancer-related FP. Associations between demographics and the FP method were made through estimates of risk difference, with a 95% confidence interval. Open-ended responses were analyzed using the constant comparative method. RESULTS:A total of 240 respondents completed the survey: 52% underwent oocyte cryopreservation (OC), 29% underwent embryo cryopreservation (EC), and 19% underwent both oocyte and embryo cryopreservation (OC/EC). Most respondents agreed that if they were to go through the process again, they would make the same decision about FP (80% EC, 72% OC, 59% OC/EC). Women ≥ 35 years reported being counseled more that embryos were superior compared to younger women (risk difference 46%, CI 32.8, 59.1), however were not more likely to freeze embryos (risk difference 6.2%, CI - 9.8, 22.2). Women in long-term relationships reported they were counseled more that embryos were superior compared to those single/dating (risk difference 27%, CI 18.1, 35.9). All women in long-term relationships reported undergoing EC, while the majority of single/dating women reported undergoing OC (74.6%). CONCLUSION/CONCLUSIONS:Most women who have undergone cancer-related FP reported they would choose the same FP method again. Women in long-term relationships or ≥ 35 years reported they were more likely to be counseled that EC is superior; however, only women in long-term relationships were more likely to freeze embryos.