Triglyceride-glucose Index and Mortality in a Large Regional-based Italian Database (URRAH Project)

Abstract

Abstract Purpose Recently, a novel index [the triglyceride-glucose (TyG) index]) was considered a surrogate marker of insulin resistance (IR); in addition, it was estimated to be a better expression of IR than widely used tools. Few and heterogeneous data are available on the relationship between this index and mortality risk in non-Asian populations. Therefore, we estimated the predictive role of baseline TyG on the incidence of all-cause and cardiovascular (CV) mortality in a large sample of the general population. Moreover, in consideration of the well-recognized role of serum uric acid (SUA) on CV risk and the close correlation between SUA and IR, we also evaluated the combined effect of TyG and SUA on mortality risk. Methods The analysis included 16 649 participants from the URRAH cohort. The risk of all-cause and CV mortality was evaluated by the Kaplan–Meier estimator and Cox multivariate analysis. Results During a median follow-up of 144 months, 2569 deaths occurred. We stratified the sample by the optimal cut-off point for all-cause (4.62) and CV mortality (4.53). In the multivariate Cox regression analyses, participants with TyG above cut-off had a significantly higher risk of all-cause and CV mortality than those with TyG below the cut-off. Moreover, the simultaneous presence of high levels of TyG and SUA was associated with a higher mortality risk than none or only 1 of the 2 factors. Conclusion The results of this study indicate that these TyG (a low-cost and simple, noninvasive marker) thresholds are predictive of an increased risk of mortality in a large and homogeneous general population. In addition, these results show a synergic effect of TyG and SUA on the risk of mortality.