{"title":"Postoperative acute kidney injury in major abdominal surgery. Utility of the urinary biomarker [TIMP-2] × [IGFBP7] (NephroCheck™).","authors":"A Lara-Jiménez, P Monedero, G Echarri","doi":"10.1016/j.redare.2025.501853","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>The urinary biomarker [TIMP-2] × [IGFBP7] enables the prediction of postoperative acute kidney injury (PO-AKI). Our study aimed to assess the incidence of PO-AKI in high-risk patients undergoing major abdominal surgery and to evaluate the impact of implementing KDIGO renal optimization measures in those with renal stress identified by [TIMP-2]×[IGFBP7].</p><p><strong>Materials and methods: </strong>This was a prospective study including 182 patients who underwent major abdominal surgery. Perioperative data, [TIMP-2] × [IGFBP7] levels, and the implementation of KDIGO renal protection strategies in the ICU were collected. Predictors of PO-AKI were identified through multivariate analysis.</p><p><strong>Results: </strong>The overall incidence of PO-AKI was 25.3%, reaching 42.7% in ICU patients. [TIMP-2] × [IGFBP7] showed moderate predictive ability (AUROC = 0.74), with a PO-AKI incidence of 47.5% in patients with elevated levels. Despite the implementation of KDIGO measures in the ICU, the incidence of PO-AKI in patients with elevated [TIMP-2] × [IGFBP7] was 65.6%. In multivariate analysis, the main predictors of PO-AKI were elevated [TIMP-2] × [IGFBP7] (OR = 6.3; 95% CI: 2.6-15.6; p < 0.001), male sex (OR = 6.1; 95% CI: 1.9-19.6; p = 0.002), and ICU admission (OR = 4.5; 95% CI: 1.5-13.6; p = 0.009).</p><p><strong>Conclusions: </strong>PO-AKI is common after major abdominal surgery, particularly in ICU patients. The [TIMP-2] × [IGFBP7] biomarker allows for early identification of at-risk patients, although the implementation of KDIGO measures in the ICU did not significantly reduce its incidence.</p>","PeriodicalId":94196,"journal":{"name":"Revista espanola de anestesiologia y reanimacion","volume":" ","pages":"501853"},"PeriodicalIF":0.0000,"publicationDate":"2025-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Revista espanola de anestesiologia y reanimacion","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1016/j.redare.2025.501853","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Background: The urinary biomarker [TIMP-2] × [IGFBP7] enables the prediction of postoperative acute kidney injury (PO-AKI). Our study aimed to assess the incidence of PO-AKI in high-risk patients undergoing major abdominal surgery and to evaluate the impact of implementing KDIGO renal optimization measures in those with renal stress identified by [TIMP-2]×[IGFBP7].
Materials and methods: This was a prospective study including 182 patients who underwent major abdominal surgery. Perioperative data, [TIMP-2] × [IGFBP7] levels, and the implementation of KDIGO renal protection strategies in the ICU were collected. Predictors of PO-AKI were identified through multivariate analysis.
Results: The overall incidence of PO-AKI was 25.3%, reaching 42.7% in ICU patients. [TIMP-2] × [IGFBP7] showed moderate predictive ability (AUROC = 0.74), with a PO-AKI incidence of 47.5% in patients with elevated levels. Despite the implementation of KDIGO measures in the ICU, the incidence of PO-AKI in patients with elevated [TIMP-2] × [IGFBP7] was 65.6%. In multivariate analysis, the main predictors of PO-AKI were elevated [TIMP-2] × [IGFBP7] (OR = 6.3; 95% CI: 2.6-15.6; p < 0.001), male sex (OR = 6.1; 95% CI: 1.9-19.6; p = 0.002), and ICU admission (OR = 4.5; 95% CI: 1.5-13.6; p = 0.009).
Conclusions: PO-AKI is common after major abdominal surgery, particularly in ICU patients. The [TIMP-2] × [IGFBP7] biomarker allows for early identification of at-risk patients, although the implementation of KDIGO measures in the ICU did not significantly reduce its incidence.