Changes in Triglyceride-glucose Index Predict the Risk of Cardiovascular Diseases in the General Population: a Prospective Cohort Study

Abstract Background: The relationship between baseline triglyceride-glucose (TyG) index and cardiovascular disease (CVD) has been confirmed by former studies. However, the effect of longitudinal changes in TyG index on CVD remains uncertain. This study aimed to investigate the association of changes in TyG index with CVD in the general population. Methods: The current study included 62,443 Chinese population who were free of CVD. TyG index was calculated as ln [fasting triglyceride (mg/dL) × fasting glucose (mg/dL)/2], changes in TyG index was defined as the difference in TyG index between 2010 and 2006. Cox proportional hazard model and restricted cubic spline was used to examine the association between changes in TyG index and CVD.Results: During a median follow-up of 7.01 years, 2,530 (4.05%) incident CVD occurred, including 2,018 (3.23%) stroke and 545 (0.87%) MI. Risk of CVD was increased with quartiles of changes in TyG index, the adjusted hazard ratio (HR) in Q4 group versus Q1 group was 1.37 (95% confidence interval [CI], 1.21-1.54) for the overall CVD, 1.38 (95% CI, 1.19-1.60) for stroke, and 1.36 (95% CI, 1.05-1.76) for MI. Restricted cubic spline also showed cumulative increased risk of CVD with increasing changes in TyG index. Furthermore, the addition of changes in TyG index to a baseline risk model for CVD improved the C-statistics (P=0.0097), the integrated discrimination improvement (P<0.0001), and the category-free net reclassification improvement (P<0.0001). Similar results were observed for stroke and MI.Conclusions: Substantial changes in TyG index can independently predict the risk of CVD in the general population. Monitoring long-term changes in TyG may be helpful in the early identification of individuals at high risk of CVD.