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Pneumonia severity indices predict prognosis in coronavirus disease-2019
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 s...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SPLF and Elsevier Masson SAS.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8078040/ https://www.ncbi.nlm.nih.gov/pubmed/33971434 http://dx.doi.org/10.1016/j.resmer.2021.100826 |
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author | Ucan, E.S. Ozgen Alpaydin, A. Ozuygur, S.S. Ercan, S. Unal, B. Sayiner, A.A. Ergan, B. Gokmen, N. Savran, Y. Kilinc, O. Avkan Oguz, V. |
author_facet | Ucan, E.S. Ozgen Alpaydin, A. Ozuygur, S.S. Ercan, S. Unal, B. Sayiner, A.A. Ergan, B. Gokmen, N. Savran, Y. Kilinc, O. Avkan Oguz, V. |
author_sort | Ucan, E.S. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8078040 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | SPLF and Elsevier Masson SAS. |
record_format | MEDLINE/PubMed |
spelling | pubmed-80780402021-04-28 Pneumonia severity indices predict prognosis in coronavirus disease-2019 Ucan, E.S. Ozgen Alpaydin, A. Ozuygur, S.S. Ercan, S. Unal, B. Sayiner, A.A. Ergan, B. Gokmen, N. Savran, Y. Kilinc, O. Avkan Oguz, V. Respir Med Res Original Article 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. SPLF and Elsevier Masson SAS. 2021-05 2021-04-27 /pmc/articles/PMC8078040/ /pubmed/33971434 http://dx.doi.org/10.1016/j.resmer.2021.100826 Text en © 2021 SPLF and Elsevier Masson SAS. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Original Article Ucan, E.S. Ozgen Alpaydin, A. Ozuygur, S.S. Ercan, S. Unal, B. Sayiner, A.A. Ergan, B. Gokmen, N. Savran, Y. Kilinc, O. Avkan Oguz, V. Pneumonia severity indices predict prognosis in coronavirus disease-2019 |
title | Pneumonia severity indices predict prognosis in coronavirus disease-2019 |
title_full | Pneumonia severity indices predict prognosis in coronavirus disease-2019 |
title_fullStr | Pneumonia severity indices predict prognosis in coronavirus disease-2019 |
title_full_unstemmed | Pneumonia severity indices predict prognosis in coronavirus disease-2019 |
title_short | Pneumonia severity indices predict prognosis in coronavirus disease-2019 |
title_sort | pneumonia severity indices predict prognosis in coronavirus disease-2019 |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8078040/ https://www.ncbi.nlm.nih.gov/pubmed/33971434 http://dx.doi.org/10.1016/j.resmer.2021.100826 |
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