Introduction
Diabetic dyslipidemia is a modifiable risk factor of cardiovascular disease, characterized by elevated triglycerides, presence of small dense LDL-C particles and decreased HDL-C. HbA1c can assess the glycemic status and is regarded as an independent risk factor for cardiovascular events. Non-HDL-C is considered to be a measure of cholesterol containing atherogenic lipoproteins and a better predictor of CVD in type 2 DM. The aim of this study is to estimate HbA1C and correlate with Non-HDL-C to assess Diabetic dyslipidemia.
Materials and Methods
The study was conducted among 120 subjects. Type 2 diabetes patients with duration more than 1 year and less than 5 years as the study group were further subdivided into group (A) with controlled DM patients with HbA1c < 6.5% and group (B) with uncontrolled DM patients with HbA1c ≥ 6.5%. . Fasting blood sample was analyzed for TC, TGL, LDLc and HDLc. Non-HDLc, TC/ HDLc and LDLc/ HDLc ratios were calculated.
Result
On comparison, LDLc and Non-HDLc were more highly statistically significant than TC, TC / HDLc and LDLc / HDLc ratios. HbA1c showed a positive correlation with Non-HDLc (r = 0.49) than the other cardiovascular risk ratios in Type 2 Diabetic individuals.
Conclusion
Thus, Non-HDL-C is considered to be a simple, cost-effective calculated tool and a better representative of diabetic dyslipidemia and considered to be a better predictor of adverse cardiovascular events.
