Clinical and biological markers for predicting ARDS and outcome in septic patients

Author:

Villar Jesús,Herrán-Monge Rubén,González-Higueras Elena,Prieto-González Miryam,Ambrós Alfonso,Rodríguez-Pérez Aurelio,Muriel-Bombín Arturo,Solano Rosario,Cuenca-Rubio Cristina,Vidal Anxela,Flores Carlos,González-Martín Jesús M.,García-Laorden M. Isabel,Adalia Ramón,Sánchez-Etayo Gerard,Ambrós Alfonso,Martín-Rodríguez Carmen,González-Higueras Elena,Solano Rosario,Martínez-García Laura,García-Laorden M. Isabel,Villar Jesús,González-Martín Jesús M.,Rodríguez-Pérez Aurelio,Becerra Ángel,Valencia Lucía,Carriedo Demetrio,Díaz Domínguez Francisco Javier,Vidal Anxela,Añón José M.,Millán Pablo,Martínez Domingo,Prieto-González Miryam,Cuenca-Rubio Cristina,García-Sánchez Ana Isabel,Álvarez-Martínez Braulio,Fernández-Pérez Perfectino,Otero-Alvarín Efrén,Flores Carlos,Aguilar Gerardo,Segura Nasara,Soro Marina,Herrán-Monge Rubén,Muriel-Bombín Arturo,García-García Marta M.,Tarancón Concepción,Álvarez Teresa,

Abstract

AbstractSepsis is a common cause of acute respiratory distress syndrome (ARDS) associated with a high mortality. A panel of biomarkers (BMs) to identify septic patients at risk for developing ARDS, or at high risk of death, would be of interest for selecting patients for therapeutic trials, which could improve ARDS diagnosis and treatment, and survival chances in sepsis and ARDS. We measured nine protein BMs by ELISA in serum from 232 adult septic patients at diagnosis (152 required invasive mechanical ventilation and 72 had ARDS). A panel including the BMs RAGE, CXCL16 and Ang-2, plus PaO2/FiO2, was good in predicting ARDS (area under the curve = 0.88 in total septic patients). Best performing panels for ICU death are related to the presence of ARDS, need for invasive mechanical ventilation, and pulmonary/extrapulmonary origin of sepsis. In all cases, the use of BMs improved the prediction by clinical markers. Our study confirms the relevance of RAGE, Ang-2, IL-1RA and SP-D, and is novel supporting the inclusion of CXCL16, in BMs panels for predicting ARDS diagnosis and ARDS and sepsis outcome.

Funder

Instituto de Salud Carlos III

Fundación DISA

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

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