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Updated: Sep 15, 2025

A Large Animal Model for Acute Kidney Injury by Temporary Bilateral Renal Artery Occlusion
Published on: February 2, 2021
Combination of Urinary Biomarkers for Early Detection of Patients With Acute Kidney Injury After Transcatheter Aortic
Yumi Obata1, Atsuko Kamijo-Ikemori2, Sachi Shimmi1
1Department of Anesthesiology, St. Marianna University School of Medicine, Kawasaki, Kanagawa, Japan.
Objectives:
To investigate whether urinary biomarker paneling improves the accuracy of diagnosis of acute kidney injury (AKI) after transcatheter aortic valve implantation (TAVI).
Design:
Post-hoc analysis of a prospective, single-center study.
Setting:
University hospital.
Participants:
This post-hoc analysis utilized data from a prospective, single-center study of 173 patients who underwent TAVI between December 2016 and April 2020.
Interventions:
None.
Measurements And Main Results:
The combination of three urinary biomarkers, including preoperative urinary liver-type fatty acid-binding protein (L-FABP), immediately postoperative urinary albumin, and 4-hour postoperative urinary clusterin, was evaluated. The diagnostic performance of the combinations was assessed using receiver operating characteristic analysis, likelihood ratios, and predictive values. Post-TAVI AKI occurred in 22 patients (12.7%). The combination of preoperative L-FABP and immediately postoperative albumin demonstrated superior diagnostic accuracy (area under the curve = 0.80) compared with preoperative L-FABP alone (area under the curve = 0.68, p = 0.031). Additionally, the combination of preoperative L-FABP and 4-hour postoperative clusterin exhibited diagnostic efficacy with high specificity (0.99), positive predictive value (90%), and a positive likelihood ratio (64.8). These associations remained significant after adjusting for potential confounders.
Conclusions:
Biomarker paneling, particularly the combination of preoperative L-FABP with immediately postoperative albumin or 4-hour postoperative clusterin, significantly enhanced the diagnostic accuracy for post-TAVI AKI. This approach may facilitate earlier detection and more precise diagnosis of AKI.
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