Predicting Clinical Outcome with Phenotypic Clusters in COVID-19 Pneumonia: An Analysis of 12,066 Hospitalized Patients from the Spanish Registry SEMI-COVID-19

(1) Background: Different clinical presentations in COVID-19 are described to date, from mild to severe cases. 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. (2) Me...

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Publicado no:J Clin Med
Main Authors: Rubio-Rivas, Manuel, Corbella, Xavier, Mora-Luján, José María, Loureiro-Amigo, Jose, López Sampalo, Almudena, Yera Bergua, Carmen, Esteve Atiénzar, Pedro Jesús, Díez García, Luis Felipe, Gonzalez Ferrer, Ruth, Plaza Canteli, Susana, Pérez Piñeiro, Antía, Cortés Rodríguez, Begoña, Jorquer Vidal, Leyre, Pérez Catalán, Ignacio, León Téllez, Marta, Martín Oterino, José Ángel, Martín González, María Candelaria, Serrano Carrillo de Albornoz, José Luis, García Sardon, Eva, Alcalá Pedrajas, José Nicolás, Martin-Urda Diez-Canseco, Anabel, Esteban Giner, María José, Tellería Gómez, Pablo, Ramos-Rincón, José Manuel, Gómez-Huelgas, Ricardo
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI 2020
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Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7693215/
https://ncbi.nlm.nih.gov/pubmed/33137919
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/jcm9113488
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