The aim of the study, coronary artery disease (CAD) continues to be one of the most common causes of morbidity and mortality globally with an increasing burden being experienced in developing nations like India. The conventional cardiovascular risk variables are insufficient to detect early metabolic abnormalities in non-diabetic people. The Triglyceride-Glucose (TyG) index used in conjunction with the waist circumference to create the TyG-Waist index is an easy and efficient substitute of insulin resistance and central obesity - two crucial predictors of atherosclerosis. It is a cross-sectional study based in a tertiary hospital and was carried out on 250 non-diabetic adults aged 30-70 years undergoing coronary angiography in order to determine the predictive capacity of TyG-Waist index on CAD. Biochemical, anthropometric and angiographic information was gathered and processed. Findings showed that CAD patients had significantly higher values of TyG (8.91 ± 0.58) and TyG-Waist index (846.9 ± 105.7) than the non-CAD ones (p < 0.001). TyG-Waist index showed a better diagnostic result (AUC = 0.821) with an optimal level of sensitivity (78.6) and specificity (74.2) despite controlling the conventional risk factors. These results have demonstrated TyG-Waist index as a strong, non-invasive and cost-efficient predictor of CAD in non-diabetic groups. Its integration into regular cardiovascular screening may enhance prevention ,early detection and management of cardiovascular disease in resource constrained health care facilities.