Literature DB >> 25363361

Predictive value of NGAL for use of renal replacement therapy in patients with severe sepsis.

P B Hjortrup1, N Haase, F Treschow, M H Møller, A Perner.   

Abstract

BACKGROUND: The predictive value of plasma and urine neutrophil gelatinase-associated lipocalin (NGAL) for use of renal replacement therapy (RRT) and acute kidney injury (AKI) is not established in patients with severe sepsis.
METHODS: This was a prospective observational study in three general intensive care units (ICUs) in adult ICU patients with severe sepsis needing fluid resuscitation and a sub-study of the 6S trial. Plasma and urine were sampled at baseline and NGAL was measured using particle-enhanced turbidimetric immunoassay (The NGAL Test). Outcome measures were use of RRT in ICU, development of AKI according to the Kidney Disease: Improving Global Outcomes plasma creatinine criteria within 48 h and 90-day mortality.
RESULTS: Two-hundred- twenty-two patients had samples taken (211 had plasma and 162 urine sampled); simplified acute physiology score II was 54 (39-66). Forty patients (18%) had RRT in the ICU, 91 patients had AKI at enrollment; of the remaining 131 patients 24% developed AKI during the first 48 h, and 55% had died at 90 days. Areas under receiver-operating characteristics curve (AuROC) for predicting use of RRT in ICU were 0.70 (95% confidence interval 0.61-0.78) and 0.62 (0.51-0.73) for plasma and urine NGAL, respectively. AuROC of plasma and urine NGAL for AKI were 0.66 (0.54-0.77) and 0.71 (0.59-0.82), respectively, and for 90-day mortality 0.55 (0.47-0.63) and 0.61 (0.53-0.70), respectively. Combining NGAL values with plasma creatinine did not improve AuROCs.
CONCLUSION: In ICU patients with severe sepsis, plasma and urine NGAL had low predictive power for use of RRT, AKI and 90-day mortality. These results were supported by sensitivity and exploratory analyses.
© 2014 The Acta Anaesthesiologica Scandinavica Foundation. Published by John Wiley & Sons Ltd.

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Year:  2014        PMID: 25363361     DOI: 10.1111/aas.12427

Source DB:  PubMed          Journal:  Acta Anaesthesiol Scand        ISSN: 0001-5172            Impact factor:   2.105


  14 in total

1.  Urinary calprotectin, kidney injury molecule-1, and neutrophil gelatinase-associated lipocalin for the prediction of adverse outcome in pediatric acute kidney injury.

Authors:  Jens H Westhoff; Felix S Seibert; Sina Waldherr; Frederic Bauer; Burkhard Tönshoff; Alexander Fichtner; Timm H Westhoff
Journal:  Eur J Pediatr       Date:  2017-04-14       Impact factor: 3.183

2.  Measurement of AKI biomarkers in the ICU: still striving for appropriate clinical indications.

Authors:  John R Prowle
Journal:  Intensive Care Med       Date:  2015-01-22       Impact factor: 17.440

3.  Urinary Trace Elements Are Biomarkers for Early Detection of Acute Kidney Injury.

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4.  Biomarkers for assessing acute kidney injury for people who are being considered for admission to critical care: a systematic review and cost-effectiveness analysis.

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Journal:  Health Technol Assess       Date:  2022-01       Impact factor: 4.106

Review 5.  Biomarkers in critical illness: have we made progress?

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Review 6.  A Dormant Microbial Component in the Development of Preeclampsia.

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Review 7.  Practical approach to detection and management of acute kidney injury in critically ill patient.

Authors:  Vahid Mohsenin
Journal:  J Intensive Care       Date:  2017-09-16

Review 8.  Biomarker-Guided Risk Assessment for Acute Kidney Injury: Time for Clinical Implementation?

Authors:  Christian Albert; Michael Haase; Annemarie Albert; Antonia Zapf; Rüdiger Christian Braun-Dullaeus; Anja Haase-Fielitz
Journal:  Ann Lab Med       Date:  2020-08-25       Impact factor: 3.464

9.  Diagnosis and prognosis of neutrophil gelatinase-associated lipocalin for acute kidney injury with sepsis: a systematic review and meta-analysis.

Authors:  An Zhang; Ying Cai; Peng-Fei Wang; Jian-Ning Qu; Zhen-Chun Luo; Xiao-Dong Chen; Bin Huang; Yi Liu; Wen-Qi Huang; Jing Wu; Yue-Hui Yin
Journal:  Crit Care       Date:  2016-02-16       Impact factor: 9.097

Review 10.  Biomarkers for prediction of renal replacement therapy in acute kidney injury: a systematic review and meta-analysis.

Authors:  Sebastian J Klein; Anna K Brandtner; Georg F Lehner; Hanno Ulmer; Sean M Bagshaw; Christian J Wiedermann; Michael Joannidis
Journal:  Intensive Care Med       Date:  2018-03-14       Impact factor: 17.440

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