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dc.contributor.author | Álvarez Mon, Melchor | |
dc.contributor.author | Ortega, Miguel A | |
dc.contributor.author | Gasulla, Óscar | |
dc.contributor.author | Fortuny Profitós, Jordi | |
dc.contributor.author | Mazaira Font, Ferran A. | |
dc.contributor.author | Saurina, Pablo | |
dc.contributor.author | Monserrat Sanz, Jorge | |
dc.contributor.author | Plana, María N. | |
dc.contributor.author | Troncoso, Daniel | |
dc.contributor.author | Sanz Moreno, José | |
dc.contributor.author | Muñoz, Benjamin | |
dc.contributor.author | Arranz, Alberto | |
dc.contributor.author | Varona, José F. | |
dc.contributor.author | López Escobar, Alejandro | |
dc.contributor.author | Asúnsolo del Barco, Ángel | |
dc.date.accessioned | 2024-10-21T14:30:54Z | |
dc.date.available | 2024-10-21T14:30:54Z | |
dc.date.created | 2021 | |
dc.identifier.uri | https://hdl.handle.net/20.500.12080/44657 | |
dc.description.abstract | 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. Keywords: COVID-19; C-reactive protein; oxygen saturation; ICU; death; predictive model | es_ES |
dc.format | application/pdf | es_ES |
dc.language | eng | es_ES |
dc.rights | CC-BY | es_ES |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/deed.es | es_ES |
dc.source | Journal of Personalized Medicine | es_ES |
dc.subject | COVID-19; C-reactive protein; oxygen saturation; ICU; death; predictive model | es_ES |
dc.title | A Predictive Model and Risk Factors for Case Fatality of COVID-19 | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.rights.accessrights | info:eu-repo/semantics/openAccess | es_ES |
dc.identifier.location | N/A | es_ES |