Introduction:

The triglycerides-glucose (TyG) index is considered a new marker of insulin resistance, and is associated with the development of cardiovascular diseases.

Objective:

To evaluate the capability of TyG index to predict in-hospital mortality in patients with acute ST-elevation myocardial infarction.

Methods:

Multicenter cohort study that enrolled 1123 patients included in the Cuban Registry of Acute Myocardial Infarction between January 2018 and June 2021.

Results:

TyG index optimal cutoff point to predict mortality was 8.96 (sensitivity, 65.2%; specificity, 62.0%; area under the curve; 0.636; p < 0.001). In-hospital mortality was significantly higher in the group with TyG index ≥ 8.96. The logistic regression analysis revealed that the TyG index was an independent mortality predictor (OR = 2.959; 95% CI = 1.457-6.010; p = 0.003). When the TyG index was included in the multivariate model, it increased its predictive capacity (area under the curve, 0.917, p < 0.001). Kaplan-Meier curves showed significant differences between patient groups (p < 0.001).

Conclusions:

The TyG index constitutes an independent risk factor of in-hospital mortality in patients with acute ST-elevation myocardial infarction.