Meta-analysis of procalcitonin as a predictor for acute kidney injury

BACKGROUND: Procalcitonin (PCT) was used for predicting the development of acute kidney injury (AKI) in several studies recently. We aimed to investigate the accuracy of PCT for predicting AKI in this study. METHODS: Studies that assessed the predictive performance of PCT for the development of AKI in adult patients were searched from Medline, Embase, and the Cochrane Library from inception to June 2020. We calculated the pooled sensitivities and specificities and the area under the summary receiver-operating characteristic (SROC) curves. I(2) was used to test the heterogeneity and the potential heterogeneity was investigated by meta-regression. RESULTS: In total, 9 of 119 studies with 4852 patients were included, 1272 were diagnosed with AKI. In the overall analysis, the area under the SROC curve was 0.82 (95% CI, 0.79–0.85) and the pooled sensitivity and specificity were 0.76 (95% confidence interval [CI], 0.64–0.85) and 0.75 (95% CI, 0.61–0.86), respectively. In the subgroup analysis among septic patients, the pooled sensitivity and specificity were 0.59 (95% CI, 0.29–0.84) and 0.53 (95% CI, 0.31–0.74), and the area under the SROC was 0.57 (95% CI, 0.53–0.62). CONCLUSION: PCT may be a potential predictor for the development of AKI.