The predictive value of [TIMP-2]*[IGFBP7] in adverse outcomes for acute kidney injury: a systematic review and meta-analysis

Abstract

Objectives: [TIMP-2]*[IGFBP7] holds much potential as a biomarker for predicting the outcomes of acute kidney injury (AKI). Our meta-analysis pooled their previous research data to obtain a significantly more trustworthy metric. Materials and methods: Relevant articles published up to 17 June 2023 were retrieved from five databases (Cochrane Library/Embase/PubMed/SinoMed/Web of Science). The pre-established inclusion and exclusion criteria determined the selection of publications. Pooled sensitivity (SEN), specificity (SPE), diagnostic odds ratio, likelihood ratio, and summary receiver operating characteristic curve were employed to assess the predictive value. The presence or potential sources of heterogeneity were investigated via subgroup and SEN analyses. Results: Ten published and eligible studies (1559 cases) were included in the evaluation for the capability of [TIMP-2]*[IGFBP7] to predict the poor prognosis of AKI through the random effect model. Pooled SEN, SPE, diagnostic odds ratio, and positive and negative likelihood ratios were 0.82 (95% CI: 0.77–0.86, I 2 = 53.4%), 0.64 (95% CI: 0.61–0.67, I 2 = 88.3%), 14.06 (95% CI: 7.31–27.05, I 2 = 55.0%), 2.859 (95% CI: 2.15–3.77, I 2 = 80.7%), and 0.28 (95% CI: 0.20–0.40, I 2 = 35.0%), respectively. The estimated area under the curve was 0.8864 (standard error: 0.0306), and the Q* was 0.7970 (standard error: 0.0299). The endpoints and cutoff values were the main causes of heterogeneity. Conclusions: [TIMP-2]*[IGFBP7] is possible in predicting poor prognosis of AKI, but it is better to be applied along with other indicators or clinical risk factors.