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Methods for early prediction of the occurrence of acute kidney injury (AKI) were limited. The relationship between triglyceride glucose index (TyG) and the incidence of acute kidney injury in ICU patients is unclear. This study aims to explore the relationship between the two. Based on their TyG index, participants from the Intensive Care Medical Information Market IV (MIMIC-IV) were divided into quartiles. A logistic regression model was constructed based on the risk of acute kidney injury as the main outcome, in order to detect a potential relationship that may exist between the TyG index and acute kidney injury in ICU patients. Finally, in order to confirm the relationship existing between the TyG index and the results, a restricted cubic spline model was used. In total, 54,263 patients were involved in our present study, of whom 48.2% were male. The occurrence of acute kidney injury was 25.1%. An independent relationship was observed between the TyG index and an increased risk of acute kidney injury through multivariate logistic regression analysis (OR, 1.28 [95% CI 1.22–1.35]  p  &lt; 0.001). Q4 (5.344–9.911) of the TyG index quartiles was independently associated with an increase in the risk of acute kidney injury (OR, 1.43 [95% CI (1.32–1.54)]  p  &lt; 0.001). Through the restricted cubic spline regression model, the risk of acute kidney injury was also demonstrated to increase linearly with an increase in the TyG index. The triglyceride glucose index is related to the risk of acute kidney injury in ICU patients. In the future, in order to further validate this finding, larger prospective studies are needed.

Association between triglyceride-glucose index and AKI in ICU patients based on MIMICIV database: a cross-sectional study