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Published on: February 2, 2021
Renal Angina Index as a Predictor of Acute Kidney Injury in Critically Ill Children: A Prospective Observational
Umesh Pandwar1, Nitesh Upadhyay1, Sumit Saad1
1Paediatrics, Gandhi Medical College, Bhopal, IND.
Insights
The Renal Angina Index (RAI) effectively predicts acute kidney injury (AKI) in pediatric intensive care unit (PICU) patients. Early RAI assessment aids in risk stratification and timely intervention for critically ill children.
Area of Science:
- Pediatric Nephrology
- Critical Care Medicine
- Biomarker Research
Background:
- Acute kidney injury (AKI) is a significant concern in pediatric intensive care units (PICUs).
- Early identification of patients at risk for AKI is crucial for improving outcomes.
- The Renal Angina Index (RAI) is a novel tool proposed for AKI prediction.
Purpose of the Study:
- To evaluate the effectiveness of the Renal Angina Index (RAI) in predicting AKI in pediatric ICU patients.
- To assess the correlation between RAI calculated 24 hours post-admission and the development of AKI.
- To determine the prognostic value of RAI for risk stratification in critically ill children.
Main Methods:
- Prospective observational study including 300 PICU patients aged one month to 13 years.
- RAI calculated 24 hours post-admission.
- Statistical analysis using SPSS, including correlation and receiver operating characteristic (ROC) curve analysis.
Main Results:
- AKI occurred in 5% of patients; mortality significantly increased with higher RAI categories (p < 0.001).
- RAI at 24 hours showed excellent discriminatory ability (AUC = 0.87).
- RAI threshold ≥ 8 demonstrated high sensitivity (81.8%) and specificity (97.2%) for AKI prediction, with strong associations with vasopressor use, PRISM, and KDIGO-documented AKI (all p < 0.001).
Conclusions:
- The Renal Angina Index (RAI) is a valuable tool for predicting AKI in critically ill pediatric patients.
- Early RAI assessment (24 hours post-admission) provides crucial prognostic information.
- RAI facilitates early intervention and improved risk stratification for pediatric AKI.
Abstract:
Objective This study aimed to evaluate the effectiveness of the Renal Angina Index (RAI) in predicting acute kidney injury (AKI) among pediatric ICU (PICU) patients. Methods This prospective observational study, conducted at Gandhi Medical College, Bhopal, from September 2022 to February 2024, included 300 PICU patients aged one month to 13 years. RAI was calculated 24 hours post-admission, and its correlation with the development of AKI after 24 hours of admission was analyzed using SPSS Statistics version 25 (IBM Corp., Armonk, NY). Results The mean patient age was 36.16 months (standard deviation (SD): 15.08); 50.7% were male. AKI occurred in 5% of patients. Mortality increased significantly across RAI categories: 0% (low-risk), 7.5% (moderate-risk), and 68.8% (high-risk) (p < 0.001). RAI at 24 hours demonstrated excellent discriminatory ability with an area under the curve (AUC) of 0.87; 95% confidence interval (CI): 0.80-0.94. At a threshold ≥ 8, RAI showed 81.8% sensitivity and 97.2% specificity, with a 75.0% positive predictive value (PPV). Strong associations existed between RAI and vasopressor support, PRISM (Pediatric Risk of Mortality) scores, and KDIGO (Kidney Disease: Improving Global Outcomes)-documented AKI (all p < 0.001). Conclusions RAI can predict AKI in critically ill pediatric patients, enabling early intervention. The 24-hour assessment provides valuable prognostic information for patient risk stratification.
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