• J Ena, J V Segura-Heras, E M Fonseca-Aizpuru, M L López-Reboiro, A Gracia-Gutiérrez, J A Martín-Oterino, A Martín-Urda Diez-Canseco, C Pérez-García, J M Ramos-Rincón, R Gómez-Huelgas, and en nombre del grupo de trabajo SEMI-COVID-19.
• Servicio de Medicina Interna. HospitalMarina Baixa, Alicante, España.
• Rev Clin Esp. 2022 Jan 1; 222 (1): 1121-12.

BackgroundThis work aims to identify and validate a risk scale for admission to intensive care units (ICU) in hospitalized patients with coronavirus disease 2019 (COVID-19).MethodsWe created a derivation rule and a validation rule for ICU admission using data from a national registry of a cohort of patients with confirmed SARS-CoV-2 infection who were admitted between March and August 2020 (n = 16,298). We analyzed the available demographic, clinical, radiological, and laboratory variables recorded at hospital admission. We evaluated the performance of the risk score by estimating the area under the receiver operating characteristic curve (AUROC). Using the β coefficients of the regression model, we developed a score (0 to 100 points) associated with ICU admission.ResultsThe mean age of the patients was 67 years; 57% were men. A total of 1,420 (8.7%) patients were admitted to the ICU. The variables independently associated with ICU admission were age, dyspnea, Charlson Comorbidity Index score, neutrophil-to-lymphocyte ratio, lactate dehydrogenase levels, and presence of diffuse infiltrates on a chest X-ray. The model showed an AUROC of 0.780 (CI: 0.763-0.797) in the derivation cohort and an AUROC of 0.734 (CI: 0.708-0.761) in the validation cohort. A score of greater than 75 points was associated with a more than 30% probability of ICU admission while a score of less than 50 points reduced the likelihood of ICU admission to 15%.ConclusionA simple prediction score was a useful tool for forecasting the probability of ICU admission with a high degree of precision.© 2021 Elsevier España, S.L.U. and Sociedad Española de Medicina Interna (SEMI). All rights reserved.

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