The predictive value of triglyceride-glucose index for assessing the severity and MACE of premature coronary artery...

Area of Science:

• Cardiology
• Biomarkers
• Risk Prediction

Background:

• Premature coronary artery disease (PCAD) poses significant cardiovascular risk.
• Identifying reliable predictors for PCAD severity and adverse events is crucial for patient management.

Purpose of the Study:

• To evaluate the predictive capability of the triglyceride-glucose (TyG) index in assessing PCAD severity.
• To determine the association between the TyG index and major adverse cardiovascular events (MACE) in patients with PCAD.

Main Methods:

• A cohort of 300 patients diagnosed with PCAD via coronary angiography was analyzed.
• Patients were stratified into tertiles based on their TyG index values.
• Multivariable logistic regression and ROC curve analysis were employed to assess the predictive value of the TyG index for PCAD severity and MACE.

Main Results:

• The TyG index was identified as an independent risk factor for both PCAD severity and MACE.
• Receiver operating characteristic (ROC) curve analysis demonstrated a good predictive value, with areas under the curve of 0.833 for severity and 0.807 for MACE.

Conclusions:

• The TyG index is independently associated with the severity of PCAD.
• The TyG index demonstrates significant predictive value for major adverse cardiovascular events in patients with PCAD.