2021
DOI: 10.21203/rs.3.rs-125422/v2
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Deploying unsupervised clustering analysis to derive clinical phenotypes and risk factors associated with mortality risk in 2,022 critically ill patients with COVID-19 in Spain

Abstract: Background: The identification of factors associated with Intensive Care Unit (ICU) mortality and derived clinical phenotypes in COVID-19 patients could help for a more tailored approach to clinical decision-making that improves prognostic outcomes. Methods: Prospective, multicenter, observational study of critically ill patients with confirmed COVID-19 disease and acute respiratory failure admitted from 63 Intensive Care Units(ICU) in Spain. The objective was to utilize an unsupervised clustering analysis to… Show more

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“…La media de la edad fue de entre la población total y las clasificaciones de fenotipo. (8) En el estudio realizado por ZHENG Z, PENG F, ZHAO J, LIU H. SOBRE LOS:…”
Section: Propósitounclassified
“…La media de la edad fue de entre la población total y las clasificaciones de fenotipo. (8) En el estudio realizado por ZHENG Z, PENG F, ZHAO J, LIU H. SOBRE LOS:…”
Section: Propósitounclassified