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Many statistical methods have been applied to VAERS (vaccine adverse event reporting system) database to study the safety of COVID-19 vaccines. However, none of these methods considered the adverse event (AE) ontology. The AE ontology contains important information about biological similarities between AEs. In this paper, we develop a model to estimate vaccine-AE associations while incorporating the AE ontology. We model a group of AEs using the zero-inflated negative binomial model and then estimate the vaccine-AE association using the empirical Bayes approach. This model handles the AE count data with excess zeros and allows borrowing information from related AEs. The proposed approach was evaluated by simulation studies and was further illustrated by an application to the Vaccine Adverse Event Reporting System (VAERS) dataset. The proposed method is implemented in an R package available at https://github.com/umich-biostatistics/zGPS.AO., (© 2023 The Authors. Statistics in Medicine published by John Wiley & Sons Ltd.)

Background: Preexisting cardiovascular disease (CVD) is perceived as a risk factor for poor outcomes in patients with COVID-19. We sought to determine whether CVD is associated with in-hospital death and cardiovascular events in critically ill patients with COVID-19., Methods: This study used data from a multicenter cohort of adults with laboratory-confirmed COVID-19 admitted to intensive care units at 68 centers across the United States from March 1 to July 1, 2020. The primary exposure was CVD, defined as preexisting coronary artery disease, congestive heart failure, or atrial fibrillation/flutter. Myocardial injury on intensive care unit admission defined as a troponin I or T level above the 99th percentile upper reference limit of normal was a secondary exposure. The primary outcome was 28-day in-hospital mortality. Secondary outcomes included cardiovascular events (cardiac arrest, new-onset arrhythmias, new-onset heart failure, myocarditis, pericarditis, or stroke) within 14 days., Results: Among 5133 patients (3231 male [62.9%]; mean age 61 years [SD, 15]), 1174 (22.9%) had preexisting CVD. A total of 1178 (34.6%) died, and 920 (17.9%) had a cardiovascular event. After adjusting for age, sex, race, body mass index, history of smoking, and comorbidities, preexisting CVD was associated with a 1.15 (95% CI, 0.98-1.34) higher odds of death. No independent association was observed between preexisting CVD and cardiovascular events. Myocardial injury on intensive care unit admission was associated with higher odds of death (adjusted odds ratio, 1.93 [95% CI, 1.61-2.31]) and cardiovascular events (adjusted odds ratio, 1.82 [95% CI, 1.47-2.24]), regardless of the presence of CVD., Conclusions: CVD risk factors, rather than CVD itself, were the major contributors to outcomes in critically ill patients with COVID-19. The occurrence of myocardial injury, regardless of CVD, and its association with outcomes suggests it is likely due to multiorgan injury related to acute inflammation rather than exacerbation of preexisting CVD., Registration: NCT04343898; https://clinicaltrials.gov/ct2/show/NCT04343898.

Vaccination safety is critical for individual and public health. Many existing methods have been used to conduct safety studies with the VAERS (Vaccine Adverse Event Reporting System) database. However, these methods frequently identify many adverse event (AE) signals and they are often hard to interpret in a biological context. The AE ontology introduces biologically meaningful structures to the Vaccine Adverse Event Reporting System (VAERS) database by connecting similar AEs, which provides meaningful interpretation for the underlying safety issues. In this paper, we develop rigorous statistical methods to identify "interesting" AE groups by performing AE enrichment analysis. We extend existing gene enrichment tests to perform AE enrichment analysis, while incorporating the special features of the AE data. The proposed methods were evaluated using simulation studies and were further illustrated on two studies using VAERS data. The proposed methods were implemented in R package AEenrich and can be installed from the Comprehensive R Archive Network, CRAN, and source code are available at https://github.com/umich-biostatistics/AEenrich., (© 2021 John Wiley & Sons Ltd.)

Objectives: The extent of whether staging by fluorodeoxyglucose positron-emission tomography (PET) impacts outcomes in American Veterans with stage I-III non-small-cell lung cancer (NSCLC) is unknown. We investigated impact of fluorodeoxyglucose PET staging and age-adjusted comorbidities (AACs) on management and survival of NSCLC in this group., Materials and Methods: We performed a retrospective review to identify with NSCLC who underwent initial PET scan and received care at the Ann Arbor Veterans Hospital between 2005 and 2010. Survival outcomes were estimated by Kaplan-Meier methods, quantile regressions, and Cox proportional hazards models, after accounting for age at diagnosis, sex, AAC, and initial treatment., Results: The number of PET scans increased from 0 in 2005 to 66 in 2010. There were 170 men, 4 women, median age 64 years. Median AAC score was 4. In CS I (n=54), initial PET upstaged 5 patients. Median survival for no change in PET stage was 27.43 versus 67 months for upstaged patients (P=0.034). For CS II (n=15), initial PET scan upstaged 1 patient. Median survival for no change in PET stage was 16.53 versus 2.8 months for upstaged patient (P=0.335). For CS III (n=104), PET scan upstaged 20 patients. Median survival for no change in PET stage was 13.3 versus 3.8 months for upstaged patients (P=0.016)., Conclusions: PET scans resulted in upstaging in 15% in CS I-III NSCLC. AAC scores dictated therapy decisions and outcomes more than PET staging. Veterans had lower 5-year survival rates (26.3%, 15.8%/13.4%) compared with 53% and 27% in age/sex/time-period matched SEER data for stage I-II/III NSCLC.

Mortality rates are probably the most important indicator for the performance of kidney transplant centers. Motivated by the national evaluation of mortality rates at kidney transplant centers in the USA, we seek to categorize the transplant centers based on the mortality outcome. We describe a Dirichlet process model and a Dirichlet process mixture model with a half-cauchy prior for the estimation of the risk-adjusted effects of the transplant centers, with strategies for improving the model performance, interpretability, and classification ability. We derive statistical measures and create graphical tools to rate transplant centers and identify outlying groups of centers with exceptionally good or poor performance. The proposed method was evaluated through simulation and then applied to assess kidney transplant centers from a national organ failure registry., (Copyright © 2015 John Wiley & Sons, Ltd.)

Objective: Interest in cardiothoracic surgery (CTS) as a career has decreased over the past decade. Anecdotal evidence suggests that many surgeons develop an interest in CTS before medical school and even before college. This study evaluates the interest of high-school students at a magnet high school, with regard to careers in medicine, in surgery, and in CTS., Design: A survey assessing career interests and values was conducted among junior and senior high-school students. Students were given a 1-hour presentation by a cardiothoracic (CT) surgeon on the postgraduate training process and then completed a postpresentation survey., Setting: A magnet math and science high school, the Kalamazoo Area Mathematics and Science Center., Participants: Of 128 students, 117 (91% response rate) completed the survey., Results: Overall, 38% of students reported having a high interest in medicine; of this group, 58% reported a high interest in surgery and 36% reported having a high interest in CTS. Men were more likely than women were to have a high interest in surgery and CTS (p < 0.001). Students with at least 1 family member as a physician vs those without were more likely to be interested in medicine, surgery, and CTS and also have a higher level of concern for postgraduation debt (p < 0.01). Women were more likely than men were to have a high level of concern about postgraduation debt (p = 0.018). After a presentation by a CT surgeon, students showed no changes in interest in medicine careers but did report an increased level of knowledge about the process of becoming a CT surgeon, going from 31% to 72%., Conclusions: There exists a large interest in both surgery and CTS at the high-school level, but there may be a need for more active outreach to maintain and foster their interest in surgery and CTS through undergraduate and medical school., (Copyright © 2014 Association of Program Directors in Surgery. Published by Elsevier Inc. All rights reserved.)