Pneumonia severity indices predict prognosis in coronavirus disease-2019.

Autor: Ucan ES; Department of Pulmonary Diseases, Dokuz Eylul University Faculty of Medicine, Izmir, Turkey., Ozgen Alpaydin A; Department of Pulmonary Diseases, Dokuz Eylul University Faculty of Medicine, Izmir, Turkey. Electronic address: aylin.alpaydin@deu.edu.tr., Ozuygur SS; Department of Pulmonary Diseases, Dokuz Eylul University Faculty of Medicine, Izmir, Turkey., Ercan S; Department of Pulmonary Diseases, Dokuz Eylul University Faculty of Medicine, Izmir, Turkey., Unal B; Department of Public Health, Dokuz Eylul University Faculty of Medicine, Izmir, Turkey., Sayiner AA; Department of Medical Microbiology, Dokuz Eylul University Faculty of Medicine, Izmir, Turkey., Ergan B; Department of Pulmonary Diseases, Dokuz Eylul University Faculty of Medicine, Izmir, Turkey., Gokmen N; Department of Anesthesiology and Reanimation, Dokuz Eylul University Faculty of Medicine, Izmir, Turkey., Savran Y; Department of Internal Medicine, Medicana International Izmir Hospital, Izmir, Turkey., Kilinc O; Department of Pulmonary Diseases, Dokuz Eylul University Faculty of Medicine, Izmir, Turkey., Avkan Oguz V; Department of Infectious Diseases and Clinical Microbiology, Dokuz Eylul University Faculty of Medicine, Izmir, Turkey.
Jazyk: angličtina
Zdroj: Respiratory medicine and research [Respir Med Res] 2021 May; Vol. 79, pp. 100826. Date of Electronic Publication: 2021 Apr 27.
DOI: 10.1016/j.resmer.2021.100826
Abstrakt: Background: Early recognition of the severe illness is critical in coronavirus disease-19 (COVID-19) to provide best care and optimize the use of limited resources.
Objectives: We aimed to determine the predictive properties of common community-acquired pneumonia (CAP) severity scores and COVID-19 specific indices.
Methods: In this retrospective cohort, COVID-19 patients hospitalized in a teaching hospital between 18 March-20 May 2020 were included. Demographic, clinical, and laboratory characteristics related to severity and mortality were measured and CURB-65, PSI, A-DROP, CALL, and COVID-GRAM scores were calculated as defined previously in the literature. Progression to severe disease and in-hospital/overall mortality during the follow-up of the patients were determined from electronic records. Kaplan-Meier, log-rank test, and Cox proportional hazard regression model was used. The discrimination capability of pneumonia severity indices was evaluated by receiver-operating-characteristic (ROC) analysis.
Results: Two hundred ninety-eight patients were included in the study. Sixty-two patients (20.8%) presented with severe COVID-19 while thirty-one (10.4%) developed severe COVID-19 at any time from the admission. In-hospital mortality was 39 (13.1%) while the overall mortality was 44 (14.8%). The mortality in low-risk groups that were identified to manage outside the hospital was 0 in CALL Class A, 1.67% in PSI low risk, and 2.68% in CURB-65 low-risk. However, the AUCs for the mortality prediction in COVID-19 were 0.875, 0.873, 0.859, 0.855, and 0.828 for A-DROP, PSI, CURB-65, COVID-GRAM, and CALL scores respectively. The AUCs for the prediction of progression to severe disease was 0.739, 0.711, 0,697, 0.673, and 0.668 for CURB-65, CALL, PSI, COVID-GRAM, A-DROP respectively. The hazard ratios (HR) for the tested pneumonia severity indices demonstrated that A-DROP and CURB-65 scores had the strongest association with mortality, and PSI, and COVID-GRAM scores predicted mortality independent from age and comorbidity.
Conclusion: Community-acquired pneumonia (CAP) scores can predict in COVID-19. The indices proposed specifically to COVID-19 work less than nonspecific scoring systems surprisingly. The CALL score may be used to decide outpatient management in COVID-19.
(Copyright © 2021 SPLF and Elsevier Masson SAS. All rights reserved.)
Databáze: MEDLINE
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