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VOLUME 21 , ISSUE 11 ( 2017 ) > List of Articles

RESEARCH ARTICLE

Role of urinary neutrophil gelatinase-associated lipocalin as a biomarker of acute kidney injury in patients with circulatory shock

Munna Patel, Durgesh Pushkar

Keywords : Acute kidney injury, biomarker, circulatory shock, sensitivity and specificity, urinary neutrophil gelatinase-associated lipocalin

Citation Information : Patel M, Pushkar D. Role of urinary neutrophil gelatinase-associated lipocalin as a biomarker of acute kidney injury in patients with circulatory shock. Indian J Crit Care Med 2017; 21 (11):740-745.

DOI: 10.4103/ijccm.IJCCM_315_17

License: CC BY-ND 3.0

Published Online: 01-01-2019

Copyright Statement:  Copyright © 2017; The Author(s).


Abstract

Background: The early prediction of acute kidney injury (AKI) by the current clinical and laboratory methods remains inadequate. Neutrophil gelatinase-associated lipocalin (NGAL) has emerged as a promising noninvasive biomarker of kidney injury in shock. The aim of this study was to assess the ability of urinary NGAL (uNGAL) to predict AKI in adult Intensive Care Unit (ICU) patients. Materials and Methods: We prospectively studied 70 patients with circulatory shock admitted to the ICU over a period of 1 year. uNGAL was analyzed at ICU admission and after 24 h. Risk, injury, failure, loss, and end-stage kidney criteria were calculated at admission and for consecutive 4 days. The primary outcome was AKI defined as an increase in creatinine of at least 50% from baseline or a reduction in urine output to <0.5 ml/kg/h for 6 h. Results: uNGAL was a good diagnostic marker for AKI development; at day 1, the cutoff value 48.54 ng/mL had a sensitivity and specificity of 79.49 and 73.14, respectively, and the area under the curve (AUC) of 0.82 (95% confidence interval [CI], 0.75–0.87) for predicting AKI. At day 2, the cutoff value 190.92 ng/mL had a sensitivity and specificity of 90.0 and 64.66, respectively, and the AUC of 0.76 (95% CI, 0.70–0.88) for predicting AKI. Conclusion: uNGAL could be a good early predictor biomarker of AKI following circulatory shock.


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