학술논문
A blood microRNA classifier for the prediction of ICU mortality in COVID-19 patients: a multicenter validation study
Document Type
article
Author
David de Gonzalo-Calvo; Marta Molinero; Iván D. Benítez; Manel Perez-Pons; Nadia García-Mateo; Alicia Ortega; Tamara Postigo; María C. García-Hidalgo; Thalia Belmonte; Carlos Rodríguez-Muñoz; Jessica González; Gerard Torres; Clara Gort-Paniello; Anna Moncusí-Moix; Ángel Estella; Luis Tamayo Lomas; Amalia Martínez de la Gándara; Lorenzo Socias; Yhivian Peñasco; Maria Del Carmen de la Torre; Elena Bustamante-Munguira; Elena Gallego Curto; Ignacio Martínez Varela; María Cruz Martin Delgado; Pablo Vidal-Cortés; Juan López Messa; Felipe Pérez-García; Jesús Caballero; José M. Añón; Ana Loza-Vázquez; Nieves Carbonell; Judith Marin-Corral; Ruth Noemí Jorge García; Carmen Barberà; Adrián Ceccato; Laia Fernández-Barat; Ricard Ferrer; Dario Garcia-Gasulla; Jose Ángel Lorente-Balanza; Rosario Menéndez; Ana Motos; Oscar Peñuelas; Jordi Riera; Jesús F. Bermejo-Martin; Antoni Torres; Ferran Barbé
Source
Respiratory Research, Vol 24, Iss 1, Pp 1-11 (2023)
Subject
Language
English
ISSN
1465-993X
Abstract
Abstract Background The identification of critically ill COVID-19 patients at risk of fatal outcomes remains a challenge. Here, we first validated candidate microRNAs (miRNAs) as biomarkers for clinical decision-making in critically ill patients. Second, we constructed a blood miRNA classifier for the early prediction of adverse outcomes in the ICU. Methods This was a multicenter, observational and retrospective/prospective study including 503 critically ill patients admitted to the ICU from 19 hospitals. qPCR assays were performed in plasma samples collected within the first 48 h upon admission. A 16-miRNA panel was designed based on recently published data from our group. Results Nine miRNAs were validated as biomarkers of all-cause in-ICU mortality in the independent cohort of critically ill patients (FDR