We conducted a hospital-based case-control investigation (150 cases and 176 controls) to examine the putative role of conventional risk factors in subjects with and without coronary heart disease from Eastern India. Multivariate binary logistic regression revealed the following as significant risk factors for coronary heart disease: male sex (OR = 4.6, p = 0.001), elevated total cholesterol/high-density lipoprotein ratio (OR = 4.0, p = 0.001), systolic blood pressure (OR = 3.0, p = 0.004), diastolic blood pressure (OR = 3.6, p = 0.002), fasting plasma glucose (OR = 3.0, p = 0.05), post-pondrial plasma glucose (OR = 3.2, p = 0.005), Impaired fasting glucose (OR = 3.7, p = 0.002), elevated triglyceride (OR = 3.1, p = 0.018), increased total cholesterol (OR = 3.0, p = 0.029), low-density lipoprotein (OR = 3.1, p = 0.001), low-density lipoprotein/high-density lipoprotein ratio (OR = 3.4, p = 0.004), central obesity (OR = 3.0, p = 0.006), smoking (OR = 3.7, p = 0.001) and urban residence (OR = 3.1, p = 0.003). In this study, the discriminant analysis showed that 77.2% of all entry for cases and 72.6% of all entry for controls were correctly classified using conventional risk factors and warrant early intervention for conventional risk factors.