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Combined quantification of procalcitonin and HLA-DR improves sepsis detection in surgical patients

Authors :
Alberto Ríos-Llorente
Esther Gómez-Sánchez
Esther Zarca
María Heredia-Rodríguez
Marta Aragón
Dolores Calvo
Elisa Sanchez-Barrado
Cristina Doncel
Maria Carmen Esteban-Velasco
Luis Mario Vaquero-Roncero
Carmen González-Sánchez
José Ignacio Gómez-Herreras
Estefanía Gómez-Pesquera
Alicia Ortega
Marta Martin-Fernandez
Juan Beltran de Heredia
Iñigo López de Cenarruzabeitia
Agustín Diaz
Mario Lorenzo-López
Diana Benavides
Jesus F. Bermejo-Martin
Jaime López-Sánchez
C. Andres
Raquel Almansa
Cesar Aldecoa
J.M. Calvo-Vecino
Eduardo Tamayo
Silvia Martín
Luis Muñoz-Bellvís
Jesús Rico-Feijoo
Source :
Scientific Reports, UVaDOC. Repositorio Documental de la Universidad de Valladolid, instname, UVaDOC: Repositorio Documental de la Universidad de Valladolid, Universidad de Valladolid, Repositorio Institucional de la Consejería de Sanidad de la Comunidad de Madrid, Consejería de Sanidad de la Comunidad de Madrid, Scientific Reports, Vol 8, Iss 1, Pp 1-9 (2018)
Publication Year :
2018
Publisher :
Springer Science and Business Media LLC, 2018.

Abstract

Producción Científica<br />Early recognition of sepsis is a key factor to improve survival to this disease in surgical patients, since it allows prompt control of the infectious source. Combining pro-infammatory and immunosupression biomarkers could represent a good strategy to improve sepsis detection. Here we evaluated the combination of procalcitonin (PCT) with gene expression levels of HLA-DRA to detect sepsis in a cohort of 154 surgical patients (101 with sepsis and 53 with no infection). HLA-DRA expression was quantifed using droplet digital PCR, a next-generation PCR technology. Area under the receiver operating curve analysis (AUROC) showed that the PCT/HLA-DRA ratio outperformed PCT to detect sepsis (AUROC [CI95%], p): PCT: 0.80 [0.73–0.88]<br />Instituto de Salud Carlos III - Consejeria de Sanidad de Castilla y Leon (grants EMER 07/050, PI15/01451 and PI16/01156)

Details

ISSN :
20452322
Volume :
8
Database :
OpenAIRE
Journal :
Scientific Reports
Accession number :
edsair.doi.dedup.....01696e3b087d2cbaa28b0ac1e2453231
Full Text :
https://doi.org/10.1038/s41598-018-30505-7