Derivation and validation of a risk score for admission to the Intensive Care Unit in patients with COVID-19
Por:
Ena J, Vicente Segura-Heras J, Fonseca-Aizpuru EM, López-Reboiro ML, Gracia-Gutiérrez A, Ángel Martín-Oterino J, Diez-Canseco AM, Pérez-García C, Manuel Ramos-Rincón J and Gómez-Huelgas R
Publicada:
1 ene 2022
Ahead of Print:
1 dic 2021
Categoría:
Medicine (miscellaneous)
Resumen:
Background: This 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). Methods: We 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 13 coefficients of the regression model, we developed a score (0 to 100 points) associated with ICU admission. Results: The 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: 0.7080.761) 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%. Conclusion: A simple prediction score was a useful tool for forecasting the probability of ICU admission with a high degree of precision. (c) 2021 Elsevier Espana, S.L.U. and Sociedad Espanola de Medicina Interna (SEMI). All rights reserved.
Filiaciones:
:
Hospital Marina Baixa, Alicante, España
Vicente Segura-Heras J:
Instituto Universitario de Investigación «Centro de Investigación Operativa» (CIO), Universidad Miguel Hernández, Alicante, España
Fonseca-Aizpuru EM:
Hospital de Cabueñes, Gijón, Asturias, España
López-Reboiro ML:
Hospital Público de Monforte de Lemos, Lugo, España
Gracia-Gutiérrez A:
Hospital General Defensa, Zaragoza, España
Ángel Martín-Oterino J:
C. A. U. de Salamanca, Salamanca, España
Diez-Canseco AM:
Hospital de Palamós, Girona, España
Pérez-García C:
Hospital do Salnes. Vilagarcía de Arousa, Pontevedra, España
Manuel Ramos-Rincón J:
Departamento de Medicina Clínica. Universidad Miguel Hernández de Elche, Alicante, España
Gómez-Huelgas R:
Departamento de Medicina Interna. Hospital Regional de Málaga. Instituto de Investigación Biomédica (IBIMA). Universidad de Málaga, Málaga, España
Green Published, Bronze
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