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Updated: Dec 3, 2025

A Large Animal Model for Acute Kidney Injury by Temporary Bilateral Renal Artery Occlusion
Published on: February 2, 2021
Identifying critically ill children at high risk of acute kidney injury and renal replacement therapy
Rachel J McGalliard1,2, Stephen J McWilliam1,3,4,5, Samuel Maguire6
1Alder Hey Children's NHS Foundation Trust, Liverpool, United Kingdom.
Insights
Predicting severe acute kidney injury (AKI) in children is crucial. Combining urine NGAL (neutrophil gelatinase-associated lipocalin) with the renal angina index (RAI) offers improved prediction accuracy for severe AKI in pediatric intensive care units.
Area of Science:
- Pediatric Nephrology
- Critical Care Medicine
- Biomarker Research
Background:
- Acute kidney injury (AKI) is a frequent and serious complication in pediatric intensive care units (PICUs).
- AKI in critically ill children is linked to higher rates of morbidity and mortality.
- Early and accurate prediction of severe AKI is essential for timely intervention.
Purpose of the Study:
- To evaluate the predictive performance of urinary NGAL (uNGAL), plasma NGAL (pNGAL), and the renal angina index (RAI) for severe AKI in pediatric patients.
- To assess the combined predictive value of these biomarkers and RAI for severe AKI.
- To identify optimal cut-off values for predicting severe AKI in a heterogeneous PICU cohort.
Main Methods:
- A prospective, observational cohort study involving 657 children admitted to a PICU.
- Serial measurements of uNGAL and pNGAL, along with Day 1 RAI calculations.
- Clinical data, including serum creatinine, were collected to determine severe AKI (Stage 2 or 3) and need for renal replacement therapy (RRT).
Main Results:
- 15.8% of children developed severe AKI, and 7.2% required RRT.
- Day 1 uNGAL (AUC 0.75) and RAI (AUC 0.73) showed moderate predictive ability for severe AKI.
- The combination of RAI and Day 1 uNGAL achieved the highest AUC of 0.80 for predicting severe AKI.
Conclusions:
- Individual biomarkers like uNGAL and pNGAL had lower predictive accuracy in this diverse PICU population compared to previous studies.
- The combination of RAI and Day 1 uNGAL provides a robust and improved prediction of severe AKI in critically ill children.
- This combined approach can aid in early identification and management of severe AKI in the PICU setting.
Abstract:
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.
Related Concept Videos
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Acute Kidney Injury I: Introduction
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