The role of urinary Dickkopf-3 in the prediction of acute kidney injury: a systematic review meta-analysis.

Abstract

BACKGROUND:

To systematically evaluate the diagnostic efficacy of urinary Dickkopf-Related Protein 3 (DKK-3) in acute kidney injury and to explore the clinical application value of urinary DKK-3.

METHOD:

English databases (PubMed, Embase, Cochrane, and WOS) and Chinese databases (VIP, WanFang data, and China National Knowledge Internet) were screened for relevant papers published before March 12, 2023. After literature screening and data extraction, quality assessment was performed according to the QUADAS-2 scoring system. Then, the combined diagnostic and predictive parameters were calculated using a bivariate mixed effect meta-analysis model. Deek's funnel plot asymmetry test assessed publication bias, and Fagan's nomogram plot was used to verify its clinical utility.

RESULT:

A total of 5 studies involving 2787 patients were included in this meta-analysis, of which 4 focused on contrast-induced acute kidney injury (CI-AKI) and 1 focused on AKI associated with cardiac surgery. The analysis showed that urine Dickkopf-3 has high diagnostic accuracy for AKI, with a sensitivity of 0.55 (95% CI [0.41, 0.68]), specificity of 0.80 (95% CI [0.70, 0.87]), positive likelihood ratio (PLR) of 2.7 [1.8, 4.1], negative likelihood ratio (NLR) of 0.56 [0.42, 0.75], diagnostic odds ratio (DOR) of 5 [3, 9], and AUC of 0.74 [0.70-0.77]. We did not perform subgroup analyses for predictive value due to the small number of included studies.

CONCLUSION:

Urinary DKK3 may have limited predictive ability for acute kidney injury, especially for AKI associated with cardiac surgery. Therefore, urinary DKK3 may serve as a potential predictor for AKI. However, clinical studies with larger samples are still needed for validation.

• Authors: Huameng Xing, Zheng Jiang, Yuxuan Wu, Santao Ou, Jianhua Qin, Ling Xue, Weihua Wu
• Journal: International urology and nephrology (Int Urol Nephrol) Vol. 55 Issue 12 Pg. 3175-3188 (Dec 2023) ISSN: 1573-2584 [Electronic] Netherlands
• PMID: 37072601 (Publication Type: Systematic Review, Meta-Analysis, Journal Article)
• Copyright: © 2023. The Author(s), under exclusive licence to Springer Nature B.V.

Chemical References

• DKK3 protein, human

Topics

• Humans
• Acute Kidney Injury (diagnosis, metabolism)
• China
• Correlation of Data
• Nomograms
• Urinary Tract (metabolism)