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.

Plos One
|October 29, 2020
PubMed

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.

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