• Guillermo Rodriguez-Nava, Maria Adriana Yanez-Bello, Daniela Patricia Trelles-Garcia, Chul Won Chung, Harvey J Friedman, and David W Hines.
• Department of Internal Medicine, AMITA Health Saint Francis Hospital, Evanston, Illinois, USA. Electronic address: Guillermo.RodriguezNava@amitahealth.org.
• Int. J. Infect. Dis. 2021 Jan 1; 102: 571-576.

ObjectiveTo evaluate the performance of the Quick COVID-19 Severity Index (qCSI) and the Brescia-COVID Respiratory Severity Scale (BCRSS) in predicting intensive care unit (ICU) admissions and in-hospital mortality in patients with coronavirus disease 2019 (COVID-19) pneumonia.MethodsThis was a retrospective cohort study of 313 consecutive hospitalized adult patients (18 years or older) with confirmed COVID-19. The area under the receiver operating characteristic curve (AUC) was used to assess the discriminatory power of the qCSI score and BCRSS prediction rule compared to the CURB-65 score for predicting mortality and intensive care unit admission.ResultsThe overall in-hospital fatality rate was 32.3%, and the ICU admission rate was 31.3%. The CURB-65 score had the highest numerical AUC to predict in-hospital mortality (AUC 0.781) compared to the qCSI score (AUC 0.711) and the BCRSS prediction rule (AUC 0.663). For ICU admission, the qCSI score had the highest numerical AUC (AUC 0.761) compared to the BCRSS prediction rule (AUC 0.735) and the CURB-65 score (AUC 0.629).ConclusionsThe CURB-65 and qCSI scoring systems showed a good performance for predicting in-hospital mortality. The qCSI score and the BCRSS prediction rule showed a good performance for predicting ICU admission.Copyright © 2020 The Authors. Published by Elsevier Ltd.. All rights reserved.

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