Article

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

2021-01-27

Abstract excerpt

<title>Abstract</title> <p><bold>Background: </bold>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. <bold> Methods: </bold>Prospective, multicenter, observational study of critically ill patients with confirmed COVID-19 diseas...

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Literature Corpus work: e5fa9b3b-1497-5d3b-9676-bb6cdfffefdc
DOI: 10.21203/rs.3.rs-125422/v2

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