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MR‐ proADM to detect specific types of organ failure in infection

Authors :
Raquel Almansa
Luis Mario Vaquero-Roncero
Jesus F. Bermejo-Martin
Alberto Ríos-Llorente
Leonor Nogales
C. Andres
Silvia Martín
Cesar Aldecoa
Ramón Cicuendez
David Andaluz-Ojeda
Marta Martin-Fernandez
Dolores Calvo
Elisa Sanchez-Barrado
Maria Carmen Esteban-Velasco
Luis Muñoz-Bellvís
Source :
European Journal of Clinical Investigation. 50
Publication Year :
2020
Publisher :
Wiley, 2020.

Abstract

BACKGROUND Following the SEPSIS-3 consensus, detection of organ failure as assessed by the SOFA (Sequential Organ Failure Assessment) score, is mandatory to detect sepsis. Calculating SOFA outside of the Intensive Care Unit (ICU) is challenging. The alternative in this scenario, the quick SOFA, is very specific but less sensible. Biomarkers could help to detect the presence of organ failure secondary to infection either in ICU and non-ICU settings. MATERIALS AND METHODS We evaluated the ability of four biomarkers (C-Reactive protein (CRP), lactate, mid-regional proadrenomedullin (MR-proADM) and procalcitonin (PCT)) to detect each kind of organ failure considered in the SOFA in 213 patients with infection, sepsis or septic shock, by using multivariate regression analysis and calculation of the area under the receiver operating curve (AUROC). RESULTS In the multivariate analysis, MR-proADM was an independent predictor of five different failures (respiratory, coagulation, cardiovascular, neurological and renal). In turn, lactate predicted three (coagulation, cardiovascular and neurological) and PCT two (cardiovascular and renal). CRP did not predict any of the individual components of SOFA. The highest AUROCs were those of MR-proADM and PCT to detect cardiovascular (AUROC, CI95%): MR-proADM (0.82 [0.76-0.88]), PCT (0.81 [0.75-0.87] (P

Details

ISSN :
13652362 and 00142972
Volume :
50
Database :
OpenAIRE
Journal :
European Journal of Clinical Investigation
Accession number :
edsair.doi.dedup.....4a2f83609e38303b1dbc1d5c5e231964
Full Text :
https://doi.org/10.1111/eci.13246