The 123 COVID SCORE: A simple and reliable diagnostic tool to predict in-hospital death in COVID-19 patients on hospital admission
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Le résumé fourni par la source
BACKGROUND: Patients hospitalized due to Coronavirus disease 2019 (COVID-19) are still burdened with high risk of death. The aim of this study was to create a risk score predicting in-hospital mortality in COVID-19 patients on hospital admission. METHODS: Independent mortality predictors identified in multivariate logistic regression analysis were used to build the 123 COVID SCORE. Diagnostic performance of the score was evaluated using the area under the receiver-operating characteristic curve (AUROC). RESULTS: Data from 673 COVID-19 patients with median age of 70 years were used to build the score. In-hospital death occurred in 124 study participants (18.4%). The final score is composed of 3 variables that were found predictive of mortality in multivariate logistic regression analysis: (1) age, (2) oxygen saturation on hospital admission without oxygen supplementation and (3) percentage of lung involvement in chest computed tomography (CT). Four point ranges have been identified: 0-5, 6-8, 9-11 and 12-17, respectively corresponding to low (1.5%), moderate (13.4%), high (28.4%) and very high (57.3%) risk of in-hospital death. The 123 COVID SCORE accuracy measured with the AUROC was 0.797 (95% CI 0.757-0.838; p<0.0001) in the study population and 0.774 (95% CI 0.728-0.821; p<0.0001) in an external validation cohort consisting of 558 COVID-19 patients. CONCLUSIONS: The 123 COVID SCORE containing merely 3 variables: age, oxygen saturation, and percentage of lung involvement assessed with chest CT is a simple and reliable tool to predict in-hospital death in COVID-19 patients upon hospital admission.
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Le contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- The 123 COVID SCORE: A simple and reliable diagnostic tool to predict in-hospital death in COVID-19 patients on hospital admission
- Date Crossref
- 22/10/2024
- Éditeur
- Public Library of Science (PLoS)
- Type
- journal-article
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.
Où se fait cette recherche
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Nicolaus Copernicus University Collegium Medicum pays non établi dans la noticeUniversité ou école supérieure
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University of Warmia and Mazury in Olsztyn pays non établi dans la noticeUniversité ou école supérieure
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Gajda-Med District Hospital in Pultusk pays non établi dans la noticeÉtablissement de santé
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School of Medicine Department of Cardiology and Internal Medicine pays non établi dans la noticeUniversité ou école supérieure
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Faculty of Medicine Department of Lung Diseases pays non établi dans la noticeUniversité ou école supérieure
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Tertiary Care Hospital Department of Cardiology pays non établi dans la noticeÉtablissement de santé
Collegium Medicum — Nicolaus Copernicus University, University of Warmia and Mazury in Olsztyn et Gajda-Med District Hospital in Pultusk, avec 3 autres affiliations.
Une affiliation ne permet pas de déduire la nationalité d’un auteur.