Triglyceride-glucose Index and the Prognosis of Patients with Heart Failure: A Meta-analysis

The triglyceride-glucose index (TyGI) is a novel indicator of insulin resistance, which has been associated with an increased risk of cardiovascular diseases. The aim of this meta-analysis was to determine the association between TyGI and the prognosis of patients with heart failure (HF). Cohort studies relevant to the aim of the meta-analysis were retrieved by searching electronic databases, including PubMed, Web of Science, and Embase. A random-effects model was used to combine the data, incorporating the influence of between-study heterogeneity. Twelve studies involving 20,639 patients with HF were included. Pooled results showed that compared to patients with the lowest category of TyGI at baseline, those with the highest TyGI index were associated with a higher risk of all-cause mortality during follow-up (relative risk [RR] 1.71, 95% confidence interval [CI] 1.46 - 2.00; P < 0.001; I² = 55%). Sensitivity analyses limited to studies after adjustment for confounding factors showed similar results (RR 1.89, 95% CI 1.67 - 2.21; P < 0.001; I² = 13%). Subsequent meta-analyses also showed that a high TyGI at baseline was related to the incidence of cardiovascular death (RR 1.87, 95% CI 1.42 - 2.47; P < 0.001; I² = 57%), HF rehospitalization (RR 1.33, 95% CI 1.04 - 1.69; P < 0.02; I² = 46%), and major adverse cardiovascular events (RR 1.69, 95% CI 1.39 - 2.06; P < 0.001; I² = 17%) during follow-up. In conclusion, a high TyGI may be associated with a poor clinical prognosis for patients with HF.