학술논문
External validation of unsupervised COVID-19 clinical phenotypes and their prognostic impact
Document Type
article
Author
Daniele Roberto Giacobbe; Emilio Di Maria; Alberto Stefano Tagliafico; Martina Bavastro; Carlo Simone Trombetta; Cristina Marelli; Gabriele Di Meco; Greta Cattardico; Sara Mora; Alessio Signori; Antonio Vena; Malgorzata Mikulska; Chiara Dentone; Bianca Bruzzone; Bianca Bignotti; Andrea Orsi; Chiara Robba; Lorenzo Ball; Iole Brunetti; Denise Battaglini; Antonio Di Biagio; Maria Pia Sormani; Paolo Pelosi; Mauro Giacomini; Giancarlo Icardi; Matteo Bassetti
Source
Annals of Medicine, Vol 55, Iss 1 (2023)
Subject
Language
English
ISSN
07853890
1365-2060
0785-3890
1365-2060
0785-3890
Abstract
AbstractBackground Hospitalized patients with coronavirus disease 2019 (COVID-19) can be classified into different clinical phenotypes based on their demographic, clinical, radiology, and laboratory features. We aimed to validate in an external cohort of hospitalized COVID-19 patients the prognostic value of a previously described phenotyping system (FEN-COVID-19) and to assess the reproducibility of phenotypes development as a secondary analysis.Methods Patients were classified in phenotypes A, B or C according to the severity of oxygenation impairment, inflammatory response, hemodynamic and laboratory tests according to the FEN-COVID-19 method.Results Overall, 992 patients were included in the study, and 181 (18%), 757 (76%) and 54 (6%) of them were assigned to the FEN-COVID-19 phenotypes A, B, and C, respectively. An association with mortality was observed for phenotype C vs. A (hazard ratio [HR] 3.10, 95% confidence interval [CI] 1.81–5.30, p