Predictive value of suPAR in AKI: a systematic review and meta-analysis

Clin Exp Nephrol. 2023 Jan;27(1):1-11. doi: 10.1007/s10157-022-02300-2. Epub 2022 Dec 5.

Abstract

Background: Some clinical trials have shown that soluble urokinase-type plasminogen activator receptor (suPAR) has good predictive value for acute kidney injury (AKI), but there is still a lack of evidence-based proof. Therefore, we conducted this systematic review and meta-analysis to evaluate the predictive value of suPAR for AKI.

Methods: Pubmed, EMBASE, Cochrane Library, and Web of Science databases were searched until December 2021 to obtain the literature on the prediction of suPAR for AKI. The quality of the included studies was assessed using the QUADAS-2 scoring system, and a bivariate random-effect model was used for the meta-analysis. The present study has been registered on PROSPERO (Registration No. CRD42022324978).

Results: Seven articles were included, involving 2,319 patients, 635 of whom were AKI patients. The meta-analysis results showed that the combined sensitivity of suPAR in predicting AKI was 0.77 (95% CI 0.67-0.84); the specificity was 0.64 (95% CI 0.53-0.75); the odds ratio of diagnosis was 6 (95% CI 3-10); the pooled positive likelihood ratio was 2.2 (95% CI 1.6-2.9); the pooled negative likelihood ratio was 0.36 (95% CI 0.26-0.52); and the area under the summary receiver-operating characteristic (SROC) curve was 0.77 (95% CI 0.12~0.99). Deek's funnel plot suggested no potential publication bias among included studies.

Conclusion: suPAR is a valuable biomarker for the prediction of AKI with relatively high predictive accuracy, but its clinical application needs improvements. SuPAR should be considered as an indicator in the subsequent development of more effective predictive tools for AKI.

Keywords: Acute kidney injury; Meta-analysis; Predictive test; Soluble urokinase-type plasminogen activator receptor; suPAR.

Publication types

  • Meta-Analysis
  • Systematic Review
  • Review

MeSH terms

  • Acute Kidney Injury* / diagnosis
  • Biomarkers
  • Humans
  • ROC Curve
  • Receptors, Urokinase Plasminogen Activator*

Substances

  • Receptors, Urokinase Plasminogen Activator
  • Biomarkers