tetano
Editor, Senior Moderator
Am J Emerg Med
. 2022 Mar 10;56:57-62.
doi: 10.1016/j.ajem.2022.03.011. Online ahead of print.
Validation of a simplified comorbidity evaluation predicting clinical outcomes among patients with coronavirus disease 2019 - A multicenter retrospective observation study
James P d'Etienne[SUP] 1 [/SUP], Naomi Alanis[SUP] 2 [/SUP], Eric Chou[SUP] 3 [/SUP], John S Garrett[SUP] 4 [/SUP], Jessica J Kirby[SUP] 5 [/SUP], David P Bryant[SUP] 6 [/SUP], Sajid Shaikh[SUP] 7 [/SUP], Chet D Schrader[SUP] 8 [/SUP], Hao Wang[SUP] 9 [/SUP]
Affiliations
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.
Keywords: COVID-19; Clinical outcomes; Comorbidity; Pandemic outbreaks.
. 2022 Mar 10;56:57-62.
doi: 10.1016/j.ajem.2022.03.011. Online ahead of print.
Validation of a simplified comorbidity evaluation predicting clinical outcomes among patients with coronavirus disease 2019 - A multicenter retrospective observation study
James P d'Etienne[SUP] 1 [/SUP], Naomi Alanis[SUP] 2 [/SUP], Eric Chou[SUP] 3 [/SUP], John S Garrett[SUP] 4 [/SUP], Jessica J Kirby[SUP] 5 [/SUP], David P Bryant[SUP] 6 [/SUP], Sajid Shaikh[SUP] 7 [/SUP], Chet D Schrader[SUP] 8 [/SUP], Hao Wang[SUP] 9 [/SUP]
Affiliations
- PMID: 35366439
- DOI: 10.1016/j.ajem.2022.03.011
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.
Keywords: COVID-19; Clinical outcomes; Comorbidity; Pandemic outbreaks.