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

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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Main Authors: Manuel Rubio-Rivas, Xavier Corbella, José María Mora-Luján, Jose Loureiro-Amigo, Almudena López Sampalo, Carmen Yera Bergua, Pedro Jesús Esteve Atiénzar, Luis Felipe Díez García, Ruth Gonzalez Ferrer, Susana Plaza Canteli, Antía Pérez Piñeiro, Begoña Cortés Rodríguez, Leyre Jorquer Vidal, Ignacio Pérez Catalán, Marta León Téllez, José Ángel Martín Oterino, María Candelaria Martín González, José Luis Serrano Carrillo de Albornoz, Eva García Sardon, José Nicolás Alcalá Pedrajas, Anabel Martin-Urda Diez-Canseco, María José Esteban Giner, Pablo Tellería Gómez, José Manuel Ramos-Rincón, Ricardo Gómez-Huelgas
Format: Article
Language:English
Published: MDPI AG 2020-10-01
Series:Journal of Clinical Medicine
Subjects:
COVID-19
cluster analysis
prognosis
phenotype
Online Access:https://www.mdpi.com/2077-0383/9/11/3488

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https://www.mdpi.com/2077-0383/9/11/3488

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