BACKGROUND: Coronary artery disease (CAD) is reaching epidemic proportions in India, in the absence of traditional risk factors. Lipoprotein (a) (Lp(a)) concentrations are related to both atherogenesis and thrombogenesis and may be a key link between lipid and CAD. We studied the role of Lp(a) and comprehensive lipid tetrad index as markers for CAD in South Indian patients with non-insulin-dependent diabetes mellitus (NIDDM). METHODS: Lp(a) concentrations and lipid profile were estimated in 53 NIDDM patients with CAD (Group 1), 53 NIDDM patients without CAD (Group 2), and 52 control subjects (Group 3). Comprehensive lipid tetrad index was calculated in all patients and controls. RESULTS: Lp(a) concentrations were significantly higher in Group 1 patients, when compared with Groups 2 and 3. In NIDDM patients with CAD, only total cholesterol and low-density cholesterol concentrations correlated significantly positively with lipoprotein (a) concentrations (r=0.184, p=0.03 and r=0.168, p=0.02). Mean comprehensive lipid tetrad index was 45,487+/-2747 in Group 1, 10,866+/-1163 in Group 2 and 4582+/-348 in Group 3 subjects. CONCLUSION: Based on the foregoing data, high Lp(a) concentrations show strong correlation with CAD in NIDDM patients of South India. High concentrations of Lp(a) and comprehensive lipid tetrad index, along with high prevalence of NIDDM, may render Indians particularly vulnerable to malignant atherosclerosis at a young age. As NIDDM is increasing in prevalence in India, the above observations have ominous dimensions in terms of total burden of CAD in India.
BACKGROUND:Coronary artery disease (CAD) is reaching epidemic proportions in India, in the absence of traditional risk factors. Lipoprotein (a) (Lp(a)) concentrations are related to both atherogenesis and thrombogenesis and may be a key link between lipid and CAD. We studied the role of Lp(a) and comprehensive lipid tetrad index as markers for CAD in South Indian patients with non-insulin-dependent diabetes mellitus (NIDDM). METHODS:Lp(a) concentrations and lipid profile were estimated in 53 NIDDMpatients with CAD (Group 1), 53 NIDDMpatients without CAD (Group 2), and 52 control subjects (Group 3). Comprehensive lipid tetrad index was calculated in all patients and controls. RESULTS:Lp(a) concentrations were significantly higher in Group 1 patients, when compared with Groups 2 and 3. In NIDDMpatients with CAD, only total cholesterol and low-density cholesterol concentrations correlated significantly positively with lipoprotein (a) concentrations (r=0.184, p=0.03 and r=0.168, p=0.02). Mean comprehensive lipid tetrad index was 45,487+/-2747 in Group 1, 10,866+/-1163 in Group 2 and 4582+/-348 in Group 3 subjects. CONCLUSION: Based on the foregoing data, high Lp(a) concentrations show strong correlation with CAD in NIDDMpatients of South India. High concentrations of Lp(a) and comprehensive lipid tetrad index, along with high prevalence of NIDDM, may render Indians particularly vulnerable to malignant atherosclerosis at a young age. As NIDDM is increasing in prevalence in India, the above observations have ominous dimensions in terms of total burden of CAD in India.