The TyG index may predict the development of cardiovascular events

Area of Science:

• Metabolic Syndrome and Cardiovascular Health
• Biomarker Discovery for Disease Risk
• Epidemiology of Chronic Diseases

Background:

• Cardiovascular disease (CVD) remains the leading global cause of mortality.
• Early detection of CVD risk in asymptomatic individuals is crucial for prevention.
• The study investigates the association between the TyG index and CVD risk.

Purpose of the Study:

• To evaluate the association between the product of fasting plasma glucose and triglycerides (TyG index) and the incidence of cardiovascular disease (CVD).
• To determine if the TyG index improves cardiovascular risk prediction models.
• To assess the TyG index as a potential early marker for CVD risk.

Main Methods:

• A prospective cohort study of 5014 patients (VMCUN cohort) with a median follow-up of 10 years.
• Cox proportional-hazard models with repeated measures were used to analyze CVD incidence across TyG index quintiles.
• Receiver-operating characteristic (ROC) curve analysis compared prediction models with and without the TyG index.

Main Results:

• Higher TyG index levels were significantly associated with increased CVD risk, independent of confounders.
• The highest TyG index quintile showed a hazard ratio of 2.32 (95% CI: 1.65-3.26).
• The addition of the TyG index to the Framingham risk score model significantly improved predictive accuracy (AUC 0.719 vs 0.708, P=0.014).

Conclusions:

• The TyG index, a simple indicator of insulin resistance, is a valuable tool for early identification of individuals at high risk for cardiovascular events.
• The TyG index can enhance existing cardiovascular risk prediction models.
• This biomarker aids in proactive cardiovascular disease prevention strategies.