Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/174450
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dc.contributor.authorÁlvarez Mon, Melchor-
dc.contributor.authorOrtega, Miguel A.-
dc.contributor.authorGasulla, Óscar-
dc.contributor.authorFortuny Profitós, Jordi-
dc.contributor.authorMazaira-Font, Ferran-
dc.contributor.authorSaurina, Pablo-
dc.contributor.authorMonserrat, Jorge-
dc.contributor.authorPlana, María N.-
dc.contributor.authorTroncoso, Daniel-
dc.contributor.authorMoreno, José Sanz-
dc.contributor.authorMuñoz, Benjamin-
dc.contributor.authorArranz, Alberto-
dc.contributor.authorVarona, José F.-
dc.contributor.authorLópez Escobar, Alejandro-
dc.contributor.authorAsúnsolo del Barco, Angel-
dc.date.accessioned2021-03-01T07:45:32Z-
dc.date.available2021-03-01T07:45:32Z-
dc.date.issued2021-01-08-
dc.identifier.urihttp://hdl.handle.net/2445/174450-
dc.description.abstractThis 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.-
dc.format.extent18 p.-
dc.format.mimetypeapplication/pdf-
dc.language.isoeng-
dc.publisherMDPI-
dc.relation.isformatofReproducció del document publicat a: https://doi.org/10.3390/jpm11010036-
dc.relation.ispartofJournal of Personalized Medicine, 2021, vol. 11, num. 1-
dc.relation.urihttps://doi.org/10.3390/jpm11010036-
dc.rightscc by (c) Álvarez Mon et al., 2021-
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/*
dc.subject.classificationCOVID-19-
dc.subject.classificationMortalitat-
dc.subject.otherCOVID-19-
dc.subject.otherMortality-
dc.titleA Predictive Model and Risk Factors for Case Fatality of COVID-19-
dc.typeinfo:eu-repo/semantics/article-
dc.typeinfo:eu-repo/semantics/publishedVersion-
dc.date.updated2021-02-11T11:05:37Z-
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess-
dc.identifier.pmid33430129-
Appears in Collections:Articles publicats en revistes (Institut d'lnvestigació Biomèdica de Bellvitge (IDIBELL))

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