Int J Infect Dis. 2020 Nov 9:S1201-9712(20)32314-6. doi: 10.1016/j.ijid.2020.11.003. Online ahead of print.
OBJECTIVE: To evaluate the performance of the Quick COVID-19 Severity Index (qCSI) and the Brescia-COVID Respiratory Severity Scale (BCRSS) in predicting ICU admissions and in-hospital mortality in patients with COVID-19 pneumonia.
METHODS: Retrospective cohort study of 313 consecutive hospitalized adult patients (18 years or older) with confirmed COVID-19. The area under the receiver operating characteristic (ROC) curve and the area under the curve (AUC) was used to assess the qCSI score and BCRSS prediction rule discriminatory power compared to the CURB-65 score for predicting mortality and intensive care unit admission.
RESULTS: The overall in-hospital fatality rate was 32.3%, and the ICU admission rate was 31.3%. The CURB-65 had the highest numerical AUC to predict in-hospital mortality (AUC of 0.781) compared to the qCSI score (AUC of 0.711) and the BCRSS prediction rule (AUC of 0.663). For ICU admission, the qCSI score had the highest numerical AUC (AUC of 0.761) compared to the BCRSS prediction rule (AUC of 0.735) and the CURB-65 score (AUC of 0.629).
CONCLUSIONS: The 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 admissions.
PMID:33181332 | DOI:10.1016/j.ijid.2020.11.003