ABSTRACT
Background: Metabolic syndrome is a cluster of elements linked with type 2 diabetes mellitus and cardiovascular disease (CVD). The early detection of individuals at the risk of developing metabolic syndrome can prevent the development of type 2 diabetes mellitus and CVD. Objectives: This study aimed to evaluate the association of the lipid accumulation product (LAP) and triglyceride-glucose (TyG) index with metabolic syndrome among young adults. Methods: This cross-sectional study included 300 young adults within the age range of 20 - 40 years. Metabolic syndrome was defined according to modified National Cholesterol Education Program Adult Treatment Panel III guidelines. The LAP and TyG index were calculated. Multivariate logistic regression and receiver operating characteristic curve analyses were performed to assess the association of the LAP and TyG index with metabolic syndrome. Results: The LAP and TyG index were significantly associated with metabolic syndrome (P < 0.05). The LAP showed the highest area under the curve (0.882 and 0.905 in male and female subjects, respectively), followed by the TyG index (0.875 and 0.886 in male and female subjects, respectively, at P < 0.0001. The cut-off values for the LAP were 45.65 in males with a sensitivity and specificity of 80% and 46.91 in females with a sensitivity and specificity of 88%. The cut-off points for the TyG index were 8.63 in males with 80% sensitivity and 78.9% specificity and 8.54 in females with 83.3% sensitivity and 79.6% specificity. Conclusions: The LAP and TyG index are significantly associated with metabolic syndrome in young adults. As simple and inexpensive markers, they can be used to identify individuals with metabolic syndrome with high sensitivity and specificity.
ABSTRACT
BACKGROUND AND AIMS: The study aimed to explore the association of hemoglobin glycation index (HGI) with cardiovascular risk factors in non-diabetic adults. METHODS: This cross-sectional study included 200 adults of 20-60 years of age. Predicted glycated hemoglobin (HbA1c) was calculated from linear regression equation. HGI was calculated using the formula HGI = measured HbA1c- predicted HbA1c. The study subjects were classified into three groups based on their HGI tertiles. Cardiovascular risk factors were compared between the groups and Pearson correlation test was done to correlate HGI with cardiovascular risk factors. RESULTS: Serum total cholesterol, triglyceride, low density lipoprotein cholesterol (LDL-C) and very low density lipoprotein cholesterol (VLDL-C) showed significant increase with increase in HGI in non diabetic individuals. High HGI group had significantly high serum total cholesterol, triglyceride, LDL-C and VLDL-C compared to low HGI group. Serum total cholesterol, triglyceride, LDL-C and VLDL-C showed a statistically significant positive correlation with HGI. CONCLUSION: We have found a statistically significant correlation of HGI with serum lipid profile, a significant cardiovascular risk factor in non-diabetic individuals. HGI, a simple derivative of HbA1c and fasting plasma glucose may be used to identify cardiovascular risk in non-diabetic individuals. Further prospective studies are required in larger sample size to confirm the clinical implications of HGI.
