Javier Ena (Servicio de Medicina Interna. Hospital Marina Baixa, Alicante), José Vicente Segura (Operations Research Center, Miguel Hernandez University, Elche), Eva María Fonseca (Servicio de Medicina Interna. Hospital de Cabueñes, Gijón), Manuel Lorenzo López (Servicio de Medicina Interna. Hospital Público de Monforte de Lemos, Lugo), Anyuli Gracia (Servicio de Medicina Interna. Hospital General Defensa, Zaragoza), José Ángel Martín (Servicio de Medicina Interna. Complejo Asistencial Universitario de Salamanca), Anabel Martín-Urda(Servicio de Medicina Interna. Hospital de Palamós, Girona), Cristina Pérez (Servicio de Medicina Interna. Hospital do Salnes, Vilagarcía de Arousa, Pontevedra), José Manuel Ramos (Departamento de Medicina Clínica. Universidad Miguel Hernández de Elche) and Ricardo Gómez (Departamento de Medicina Interna. Hospital Regional de Málaga. Instituto de Investigación Biomédica (IBIMA). Universidad de Málaga)
Abstract: 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 β 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: 0.708-0.761) 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%. Conclusion: A simple prediction score was a useful tool for forecasting the probability of ICU admission with a high degree of precision.