2026-04-17T15:02:16Zhttps://recercat.cat/oai/request

oai:recercat.cat:2445/1744502025-12-05T12:32:11Zcom_2072_1057col_2072_478916col_2072_478917

00925njm 22002777a 4500 dc Álvarez Mon, Melchor author Ortega, Miguel A. author Gasulla, Óscar author Fortuny Profitós, Jordi author Mazaira-Font, Ferran author Saurina, Pablo author Monserrat, Jorge author Plana, María N. author Troncoso, Daniel author Moreno, José Sanz author Muñoz, Benjamin author Arranz, Alberto author Varona, José F. author López Escobar, Alejandro author Asunsolo, Angel author 2021-03-01T07:45:32Z 2021-03-01T07:45:32Z 2021-01-08 2021-02-11T11:05:37Z This study aimed to create an individualized analysis model of the risk of intensive care unit (ICU) admission or death for coronavirus disease 2019 (COVID-19) patients as a tool for the rapid clinical management of hospitalized patients in order to achieve a resilience of medical resources. This is an observational, analytical, retrospective cohort study with longitudinal follow-up. Data were collected from the medical records of 3489 patients diagnosed with COVID-19 using RT-qPCR in the period of highest community transmission recorded in Europe to date: February-June 2020. The study was carried out in in two health areas of hospital care in the Madrid region: the central area of the Madrid capital (Hospitales de Madrid del Grupo HM Hospitales (CH-HM), n = 1931) and the metropolitan area of Madrid (Hospital Universitario Príncipe de Asturias (MH-HUPA) n = 1558). By using a regression model, we observed how the different patient variables had unequal importance. Among all the analyzed variables, basal oxygen saturation was found to have the highest relative importance with a value of 20.3%, followed by age (17.7%), lymphocyte/leukocyte ratio (14.4%), CRP value (12.5%), comorbidities (12.5%), and leukocyte count (8.9%). Three levels of risk of ICU/death were established: low-risk level (<5%), medium-risk level (5-20%), and high-risk level (>20%). At the high-risk level, 13% needed ICU admission, 29% died, and 37% had an ICU-death outcome. This predictive model allowed us to individualize the risk for worse outcome for hospitalized patients affected by COVID-19. COVID-19 Mortalitat COVID-19 Mortality A Predictive Model and Risk Factors for Case Fatality of COVID-19