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DC Field | Value | Language |
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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 | - |
dc.contributor.author | Saurina, Pablo | - |
dc.contributor.author | Monserrat, Jorge | - |
dc.contributor.author | Plana, María N. | - |
dc.contributor.author | Troncoso, Daniel | - |
dc.contributor.author | Moreno, José Sanz | - |
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 | Asunsolo, Angel | - |
dc.date.accessioned | 2021-03-01T07:45:32Z | - |
dc.date.available | 2021-03-01T07:45:32Z | - |
dc.date.issued | 2021-01-08 | - |
dc.identifier.uri | http://hdl.handle.net/2445/174450 | - |
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. | - |
dc.format.extent | 18 p. | - |
dc.format.mimetype | application/pdf | - |
dc.language.iso | eng | - |
dc.publisher | MDPI | - |
dc.relation.isformatof | Reproducció del document publicat a: https://doi.org/10.3390/jpm11010036 | - |
dc.relation.ispartof | Journal of Personalized Medicine, 2021, vol. 11, num. 1 | - |
dc.relation.uri | https://doi.org/10.3390/jpm11010036 | - |
dc.rights | cc by (c) Álvarez Mon et al., 2021 | - |
dc.rights.uri | http://creativecommons.org/licenses/by/3.0/es/ | * |
dc.source | Articles publicats en revistes (Institut d'lnvestigació Biomèdica de Bellvitge (IDIBELL)) | - |
dc.subject.classification | COVID-19 | - |
dc.subject.classification | Mortalitat | - |
dc.subject.other | COVID-19 | - |
dc.subject.other | Mortality | - |
dc.title | A Predictive Model and Risk Factors for Case Fatality of COVID-19 | - |
dc.type | info:eu-repo/semantics/article | - |
dc.type | info:eu-repo/semantics/publishedVersion | - |
dc.date.updated | 2021-02-11T11:05:37Z | - |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | - |
dc.identifier.pmid | 33430129 | - |
Appears in Collections: | Articles publicats en revistes (Institut d'lnvestigació Biomèdica de Bellvitge (IDIBELL)) |
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File | Description | Size | Format | |
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jpm-11-00036-v2.pdf | 982.13 kB | Adobe PDF | View/Open |
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