Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/112946
Título: Clinical and biological markers for predicting ARDS and outcome in septic patients
Autores/as: Villar, Jesús
Herrán‑Monge, Rubén
González‑Higueras, Elena
Prieto‑González, Miryam
Ambrós, Alfonso
Rodríguez Pérez, Aurelio Eduardo 
Muriel‑Bombín, Arturo
Solano, Rosario
Cuenca‑Rubio, Cristina
Vidal, Anxela
Flores, Carlos
González‑Martín, Jesús M.
García‑Laorden, M. Isabel
Clasificación UNESCO: 32 Ciencias médicas
320508 Enfermedades pulmonares
Palabras clave: Sepsis
Acute respiratory distress syndrome (ARDS)
ELISA
GEN‑SEP
Fecha de publicación: 2021
Proyectos: GEN-SEP
Publicación seriada: Scientific Reports 
Resumen: Sepsis 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.
URI: http://hdl.handle.net/10553/112946
ISSN: 2045-2322
DOI: 10.1038/s41598-021-02100-w
Fuente: Scientific Reports [ISSN 2045-2322], v. 11 (1), 22702, (Noviembre 2021)
Colección:Artículos
Adobe PDF (1,3 MB)
Vista completa

Citas SCOPUSTM   

20
actualizado el 15-dic-2024

Citas de WEB OF SCIENCETM
Citations

18
actualizado el 15-dic-2024

Visitas

92
actualizado el 16-mar-2024

Descargas

48
actualizado el 16-mar-2024

Google ScholarTM

Verifica

Altmetric


Comparte



Exporta metadatos



Los elementos en ULPGC accedaCRIS están protegidos por derechos de autor con todos los derechos reservados, a menos que se indique lo contrario.