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Identifying critically ill children at high risk of acute kidney injury and renal replacement therapy

PLoS ONE, Volume 15, No. 10 October, Article e0240360, Year 2020

Acute kidney injury (AKI), a common complication in paediatric intensive care units (PICU), is associated with increased morbidity and mortality. In this single centre, prospective, observational cohort study, neutrophil gelatinase-associated lipocalin in urine (uNGAL) and plasma (pNGAL) and renal angina index (RAI), and combinations of these markers, were assessed for their ability to predict severe (stage 2 or 3) AKI in children and young people admitted to PICU. In PICU children and young people had initial and serial uNGAL and pNGAL measurements, RAI calculation on day 1, and collection of clinical data, including serum creatinine measurements. Primary outcomes were severe AKI and renal replacement therapy (RRT). Secondary outcomes were length of stay, hospital acquired infection and mortality. The area under the Receiver Operating Characteristic (ROC) curves and Youden index was used to determine biomarker performance and identify optimum cut-off values. Of 657 children recruited, 104 met criteria for severe AKI (15•8%) and 47 (7•2%) required RRT. Severe AKI was associated with increased length of stay, hospital acquired infection, and mortality. The area under the curve (AUC) for severe AKI prediction for Day 1 uNGAL, Day 1 pNGAL and RAI were 0.75 (95% Confidence Interval [CI] 0•69, 0•81), 0•64 (95% CI 0•56, 0•72), and 0.73 (95% CI 0•65, 0•80) respectively. The optimal combination of measures was RAI and day 1 uNGAL, giving an AUC of 0•80 for severe AKI prediction (95% CI 0•71, 0•88). In this heterogenous PICU cohort, urine or plasma NGAL in isolation had poorer prediction accuracy for severe AKI than in previously reported homogeneous populations. However, when combined together with RAI, they produced good prediction for severe AKI. © 2020 McGalliard et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Statistics
Citations: 8
Authors: 15
Affiliations: 4
Research Areas
Health System And Policy
Maternal And Child Health
Violence And Injury
Study Design
Cohort Study
Study Approach
Quantitative