Background: While several standardized criteria for acute kidney injury (AKI) have been studied, there is no consensus on which criteria to use in neonates after cardiac surgery. The goal of this research was to compare the AKI incidence and outcomes according to the pediatric Risk, Injury, Failure and Loss, and End-Stage (pRIFLE), AKI Network (AKIN), Kidney Disease Improving Global Outcomes (KDIGO), and modified KDIGO (mKDIGO) criteria in neonates following congenital cardiac surgery.
Methods: A clinical database of all neonates undergoing congenital cardiac surgery admitted to the Cantonese cardiac center from 2014 to 2020 was retrospectively analyzed. AKI was based on the pRIFLE, AKIN, KDIGO, and mKDIGO classification. The predictive abilities for postoperative outcomes were compared by receiver operating curves, and multivariate logistic regression analysis was used to assess the association of AKI definitions with postoperative outcomes.
Results: In the study population of 522 patients, 177, 110, 131, and 114 neonates had AKI according to the pRIFLE, AKIN, KDIGO, and mKDIGO criteria, respectively. After multivariate analysis, all definitions were found to be significant predictors of increased mortality. The AUCs for mortality were substantially different with pRIFLE (AUC, 0.795), AKIN (AUC, 0.724), KDIGO (AUC, 0.819), and mKDIGO (AUC, 0.831) (P < 0.01) across the entire population, whereas the mKDIGO system was more accurate than the pRIFLE, AKIN, and KDIGO systems.
Conclusions: The incidence of AKI varied across all definitions. However, the mKDIGO system was more accurate in predicting in-hospital mortality than the pRIFLE, AKIN, and KDIGO systems in neonates after heart surgery.
Keywords: Acute kidney injury; Mortality; Neonatal cardiac surgery; Prediction.
© 2021. The Author(s), under exclusive licence to International Pediatric Nephrology Association.