Observational studyPloS one2020
Identifying critically ill children at high risk of acute kidney injury and renal replacement therapy.
Observational study in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
12 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Novel biomarkers for acute kidney injury in high-risk pediatric populations: a systematic review.Renal failure · 2026Pooled it
- Diagnostic accuracy of renal angina index alone or in combination with biomarkers for predicting acute kidney injury in children.Pediatric nephrology (Berlin, Germany) · 2022Pooled it
- Prediction of Severe Acute Kidney Injury by Positive Renal Angina Index and Cystatin C in Children with Septic Shock: A Diagnostic Accuracy Study.Indian pediatrics · 2026Article
- The use of urinary biomarkers as prognostic tools: predicting kidney outcomes in pediatric acute kidney injury.Pediatric nephrology (Berlin, Germany) · 2025Article
- Furosemide stress test to predict acute kidney injury progression in critically ill children.Pediatric nephrology (Berlin, Germany) · 2025Article
- A Multimodal Fuzzy Approach in Evaluating Pediatric Chronic Kidney Disease Using Kidney Biomarkers.Diagnostics (Basel, Switzerland) · 2024Article
- The renal angina index accurately predicts low risk of developing severe acute kidney injury among children admitted to a low-resource pediatric intensive care unit.Renal failure · 2023Observational
- uNGAL Predictive Value for Serum Creatinine Decrease in Critically Ill Children.Healthcare (Basel, Switzerland) · 2022Article
- Predictive ability of renal angina index alone or in combination with biomarkers for detection of acute kidney injury in children.Pediatric nephrology (Berlin, Germany) · 2022Article
- Usefulness of Urinary Neutrophil Gelatinase-associated Lipocalin as a Predictor of Acute Kidney Injury in Critically Ill Children.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2022Article
- Assessment of the renal angina index for the prediction of acute kidney injury in patients admitted to a European pediatric intensive care unit.Pediatric nephrology (Berlin, Germany) · 2021Observational
- Re-evaluating Renal Angina Index: An Authentic, Evidence-Based Instrument for Acute Kidney Injury Assessment: Critical Appraisal.Frontiers in pediatrics · 2021Article
Corrections and comments
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Authors and funding
17 authors.
Funding
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.
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