J 2018

Prediction of major adverse kidney events in critically ill burn patients

DEPRET, F.; L. BOUTIN; Jiří JARKOVSKÝ; M. CHAUSSARD; S. SOUSSI et al.

Základní údaje

Originální název

Prediction of major adverse kidney events in critically ill burn patients

Autoři

DEPRET, F.; L. BOUTIN; Jiří JARKOVSKÝ ORCID; M. CHAUSSARD; S. SOUSSI; A. BATAILLE; H. OUESLATI; N. MORENO; C. de TYMOWSKI; Jiří PAŘENICA; Klára BENEŠOVÁ; T. VAUCHEL; A. FERRY; M. BENYAMINA; A. CUPACIU; M. COUTROT; J.P. GARNIER; K. SERROR; M. CHAOUAT; A. MEBAZAA a M. LEGRAND

Vydání

Burns, OXFORD, ELSEVIER SCI LTD, 2018, 0305-4179

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

30212 Surgery

Stát vydavatele

Velká Británie a Severní Irsko

Utajení

není předmětem státního či obchodního tajemství

Odkazy

Impakt faktor

Impact factor: 2.247

Označené pro přenos do RIV

Ano

Kód RIV

RIV/00216224:14110/18:00104900

Organizační jednotka

Lékařská fakulta

EID Scopus

Klíčová slova anglicky

Plasmatic Neutrophil Gelatinase-Associated Lipocain; Acute kidney injury; Burn patients; Major adverse kidney event

Štítky

Příznaky

Mezinárodní význam, Recenzováno
Změněno: 23. 4. 2024 10:05, Mgr. Michal Petr

Anotace

V originále

Objective: We aimed at assessing the predictive value of plasmatic Neutrophil Gelatinase Associated Lipocalin (pNGAL) at admission and severity scores to predict major adverse kidney events (MAKE, defined as death and/or need for renal replacement therapy (RRT) and/or non-renal recovery at day 90) in critically ill burn patients. Material and methods: Single-center cohort study in a burn critical care unit in a tertiary center, including all consecutive severely burn patients (total burned body surface >20%) from January 2012 until January 2015 with a pNGAL dosage at admission. Reclassification of patients was assessed by Integrated Discrimination Improvement (IDI). Measurements and results: 87 patients were included. Mean age was 47.7 (IQ 25-75: 33.4-65.2) years; total burn body surface area was 40 (IQ 25-75: 30-55) % and ICU mortality 36%. 39(44.8%) patients presented a MAKE, 32(88.9%) patients died at day 90. pNGAL was higher in the MAKE group (423 [IQ25-75: 327-518] pg/mL vs 184 [IQ25-75: 147-220] pg/mL, p<0.001). In multivariate analysis, pNGAL and abbreviated burn severity index (ABSI) remained associated with MAKE (OR 1.005 [CI 95% 1.0005-1.009], p=0.03 and OR 1.682 [CI95%1.038-2.726], p=0.035 respectively). Adding pNGAL to abbreviated burn severity index, simplified organ failure assessment and the simplified acute physiology score 2 did outperform clinical scores for the prediction of MAKE and AKI and for most severe forms of AKI and allowed a statistically significant reclassification of patients compared to ABSI for MAKE, RRT, AKI at Day 7 and AKI during hospitalization with a number of patients needed to screen to detect one extra episode of MAKE was 44, 13 for severe AKI and 15 for AKI. Conclusions: pNGAL at admission is associated with the risk of MAKE in this population, and outperform severity scores when associated. Interventional studies are now needed to assess if impact of biomarkers-guided strategies would improve outcome. (C) 2018 Elsevier Ltd and ISBI. All rights reserved.