Triglyceride-Glucose Index, HOMA Index and metabolic syndrome in a sample of adult men.

Abstract

Background: Metabolic syndrome (MetS) and its components are directly associated with cardiovascular risk. Insulin resistance (IR) is the most common pathophysiological feature of MetS. A novel index, the triglyceride-glucose index (TyG), is considered a surrogate marker of IR. Hence, we estimated the ability of TyG to predict the risk to develop MetS over a follow-up period of 8 years. In addition, we compared the predictive role of TyG and that of the HOmeostatis Model Assessment (HOMA) of IR index (a widely used tool to evaluate IR).

Methods: The analysis included 440 adult men (The Olivetti Heart Study) without MetS at baseline. The optimal cut-off point of the association of continuous TyG or HOMA-IR with MetS was identified by ROC analysis.

Results: During the follow-up period, 21.6% of participants developed MetS. Baseline TyG and HOMA-IR were both significantly greater in those who developed MetS than in those who did not. These results were confirmed upon adjustment for the main confounders. After stratification by the optimal cut-off point, TyG >4.78 was a significant predictor of MetS, also after adjustment for main confounders. Likewise, HOMA-IR >2.14 was associated with the risk of MetS development in multivariate models.

Conclusions: The results of this prospective study indicate a significant predictive role of TyG on the risk of MetS, independently of the main confounders. They suggest that TyG may serve as a low-cost and simple non-invasive marker for cardio-metabolic risk stratification, with respect to more complex and expensive assays of IR requiring the insulin measurement.