d'Etienne JP, Alanis N, Chou E, Garrett JS, Kirby JJ, Bryant DP, Shaikh S, Schrader CD, Wang H. Validation of a simplified comorbidity evaluation predicting clinical outcomes among patients with coronavirus disease 2019 – A multicenter retrospective observation study.
Am J Emerg Med 2022;
56:57-62. [PMID:
35366439 PMCID:
PMC8907112 DOI:
10.1016/j.ajem.2022.03.011]
[Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2022] [Revised: 02/24/2022] [Accepted: 03/05/2022] [Indexed: 11/26/2022] Open
Abstract
Objectives
We 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.
Methods
We 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.
Results
A 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.
Conclusions
This 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.
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