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Predicting clinical outcome with phenotypic clusters in COVID-19 pneumonia: an analysis of 12,066 hospitalized patients from the Spanish registry SEMI-COVID-19

2020-09-15

Abstract excerpt

<h4>(1) Background</h4> This study aims to identify different clinical phenotypes in COVID-19 pneumonia using cluster analysis and to assess the prognostic impact among identified clusters in such patients. <h4>(2) Methods</h4> Cluster analysis including 11 phenotypic variables was performed in a large cohort of 12,066 COVID-19 patients, collected and followed-up from March 1, to July 31, 2020, from the nationwide...

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Literature Corpus work
83b2098c-36f2-5a91-a01f-116165d30b03
DOI
10.1101/2020.09.14.20193995
Open publication

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Predicting clinical outcome with phenotypic clusters in COVID-19 pneumonia: an analysis of 12,066 hospitalized patients from the Spanish registry SEMI-COVID-19DOI 10.1101/2020.09.14.20193995
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