• James P d'Etienne, Naomi Alanis, Eric Chou, John S Garrett, Jessica J Kirby, David P Bryant, Sajid Shaikh, Chet D Schrader, and Hao Wang.
• Department of Emergency Medicine, JPS Health Network, 1500 S. Main St., Fort Worth, TX 76104, United States of America. Electronic address: jdetienne@ies.healthcare.
• Am J Emerg Med. 2022 Jun 1; 56: 576257-62.

ObjectivesWe compared and validated the performance accuracy of simplified comorbidity evaluation compared to the Charlson Comorbidity Index (CCI) predicting COVID-19 severity. In addition, we also determined whether risk prediction of COVID-19 severity changed during different COVID-19 pandemic outbreaks.MethodsWe enrolled all patients whose SARS-CoV-2 PCR tests were performed at six different hospital Emergency Departments in 2020. Patients were divided into three groups based on the various COVID-19 outbreaks in the US (first wave: March-May 2020, second wave: June-September 2020, and third wave: October-December 2020). A simplified comorbidity evaluation was used as an independent risk factor to predict clinical outcomes using multivariate logistic regressions.ResultsA total of 22,248 patients were included, for which 7023 (32%) patients tested COVID-19 positive. Higher percentages of COVID-19 patients with more than three chronic conditions had worse clinical outcomes (i.e., hospital and intensive care unit admissions, receiving invasive mechanical ventilations, and in-hospital mortality) during all three COVID-19 outbreak waves.ConclusionsThis simplified comorbidity evaluation was validated to be associated with COVID clinical outcomes. Such evaluation did not perform worse when compared with CCI to predict in-hospital mortality.Copyright © 2022. Published by Elsevier Inc.

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