TyG Index independent marker for detecting Subclinical CAD: Study

The researchers found that the prevalence of CAD increased with elevating TyG index tertiles The TyG index was found to have an incremental impact on CAD (OR, 1.473; 95% CI, 1.026-2.166; P =.036) in a multivariate regression analysis. A receiver operating characteristic curve analysis indicated that the optimal TyG index cut-off for predicting subclinical CAD (as determined using the Youden index) was 8.44 (sensitivity, 47.9%; specificity, 68.5%; area under the curve,0.6; 95% CI, 0.561-0.640; P <.001).

Study limitations include possible selection bias, problems with generalizability, and the use of CCTA imaging in asymptomatic individuals.

The researchers concluded that TyG index is an independent marker for predicting subclinical CAD in individuals conventionally considered healthy.

"The present study identified the optimal cut-off of TyG index for predicting CAD in asymptomatic CVRF-free individuals," concluded the researchers. "Although the predictive value improved after considering non-modifiable clinical factors, including old age and male sex, it remained only moderately powerful. Further large-scale prospective studies might be necessary to confirm the significance of TyG index in primary prevention of CAD in individuals who have conventionally been considered healthy."

For further reference log on to :

Park GM, Cho YR, Won KB, et al. Triglyceride glucose index is a useful marker for predicting subclinical coronary artery disease in the absence of traditional risk factors [published online January 14, 2020]. Lipids Health Dis. doi: 10.1186/s12944-020-1187-0