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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Detalles Bibliográficos
Autores principales: 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: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7693215/
https://www.ncbi.nlm.nih.gov/pubmed/33137919
http://dx.doi.org/10.3390/jcm9113488

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7693215/
https://www.ncbi.nlm.nih.gov/pubmed/33137919
http://dx.doi.org/10.3390/jcm9113488

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