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ABSTRACT: Background
TIMP-2 and IGFBP7 have shown effectiveness as biomarkers for predicting Acute Kidney Injury (AKI). However, the variations in the predictive capacity of urinary [TIMP-2]• [IGFBP7] for AKI across different etiologies remain unexplored. This study aimed to assess the predictive capability of urinary [TIMP-2]• [IGFBP7] for AKI in three distinct disease cohorts (stroke, sepsis, and cardiac surgery) characterized by differing AKI etiologies.Methods
This prospective observational study evaluated the predictive value of urinary [TIMP-2]• [IGFBP7] among three cohorts with varying AKI causes. Binary logistic regression was employed to identify AKI's independent risk factors and develop a combined prediction model. The predictive value was assessed using Receiver Operating
SUBMITTER: Jiang C
PROVIDER: S-EPMC12513614 | biostudies-literature | 2025
REPOSITORIES: biostudies-literature