Title of article
Discriminatory Precision of Renal Angina Index in Predicting Acute Kidney Injury in Children; a Systematic Review and Meta-Analysis
Author/Authors
Abbasi, Arash Pediatric Chronic Kidney Disease Research Center - Tehran University of Medical Sciences, Tehran , Mehdipour Rabori, Pardis Iran University of Medical Sciences, Tehran , Farajollahi, Ramtin Iran University of Medical Sciences, Tehran , Mohammed Ali, Kosar University of Sulaimani, Sulaimani, Iraq , Ataei, Nematollah Pediatric Chronic Kidney Disease Research Center - Tehran University of Medical Sciences, Tehran , Yousefifard, Mahmoud Physiology Research Center - Iran University of Medical Sciences, Tehran , Hosseini, Mostafa Pediatric Chronic Kidney Disease Research Center - Tehran University of Medical Sciences, Tehran
Pages
12
From page
1
To page
12
Abstract
Introduction: There is still controversy over the value of renal angina index (RAI) in predicting acute renal failure
(AKI) in children. Therefore, the present study aims to provide evidence by conducting a systematic review and
meta-analysis on the value of RAI in this regard. Methods: An extensive search of Medline, Embase, Scopus
and Web of Science databases was conducted by the end of January 2020 using words related to RAI and AKI.
Two independent reviewers screened and summarized the related studies. Data were analysed using STATA
14.0 statistical program and discriminatory precision of RAI was assessed. Results: Data from 11 studies were
included. These studies included data from 3701 children (60.41% boys). There were 752 children with AKI and
2949 non-AKI children. Pooled analysis showed that the area under the ROC curve of RAI in prediction of AKI
was 0.88 [95% confidence interval (CI): 0.85 to 0.91]. Sensitivity and specificity of this tool in predicting AKI were
0.85% (95% CI: 0.74% to 0.92%) and 0.79% (95% CI: 0.69% to 0.89%), respectively. The diagnostic odds ratio of
RAI was 20.40 (95% CI: 9.62 to 43.25). Conclusion: The findings of the present meta-analysis showed that RAI is
a reliable tool in predicting AKI in children.
Keywords
Acute Kidney Injuries , Renal Insufficiency , Severity of Illness Index , Child
Journal title
Archives of Academic Emergency Medicine (AAEM)
Serial Year
2020
Record number
2505388
Link To Document