1. Clinically stable covid-19 patients presenting to acute unscheduled episodic care venues have increased risk of hospitalization: secondary analysis of a randomized control trial
- Author
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Joseph Bledsoe, Scott C. Woller, Maria Brooks, Frank C. Sciurba, Jerry A. Krishnan, Deborah Martin, Peter Hou, Janet Y. Lin, Andrei Kindzelski, Eileen Handberg, Bridget-Anne Kirwan, Elaine Zaharris, Lauren Castro, Nancy L. Shapiro, Carl J. Pepine, Sarah Majercik, Zhuxuan Fu, Yongqi Zhong, Vidya Venugopal, Yu-Hsuan Lai, Paul M. Ridker, and Jean M. Connors
- Subjects
SARS-CoV-2 ,COVID-19 ,Pulmonary embolism ,PE ,Venous thromboembolic disease ,VTE ,Infectious and parasitic diseases ,RC109-216 - Abstract
Abstract Background Assessment for risks associated with acute stable COVID-19 is important to optimize clinical trial enrollment and target patients for scarce therapeutics. To assess whether healthcare system engagement location is an independent predictor of outcomes we performed a secondary analysis of the ACTIV-4B Outpatient Thrombosis Prevention trial. Methods A secondary analysis of the ACTIV-4B trial that was conducted at 52 US sites between September 2020 and August 2021. Participants were enrolled through acute unscheduled episodic care (AUEC) enrollment location (emergency department, or urgent care clinic visit) compared to minimal contact (MC) enrollment (electronic contact from test center lists of positive patients).We report the primary composite outcome of cardiopulmonary hospitalizations, symptomatic venous thromboembolism, myocardial infarction, stroke, transient ischemic attack, systemic arterial thromboembolism, or death among stable outpatients stratified by enrollment setting, AUEC versus MC. A propensity score for AUEC enrollment was created, and Cox proportional hazards regression with inverse probability weighting (IPW) was used to compare the primary outcome by enrollment location. Results Among the 657 ACTIV-4B patients randomized, 533 (81.1%) with known enrollment setting data were included in this analysis, 227 from AUEC settings and 306 from MC settings. In a multivariate logistic regression model, time from COVID test, age, Black race, Hispanic ethnicity, and body mass index were associated with AUEC enrollment. Irrespective of trial treatment allocation, patients enrolled at an AUEC setting were 10-times more likely to suffer from the adjudicated primary outcome, 7.9% vs. 0.7%; p
- Published
- 2023
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