Evaluation of Serum Lipid Profile and Glycosylated Haemoglobin among Patients with Type 2 Diabetes Mellitus.

Introduction: In India, diabetes is turning into an epidemic as currently, more than 62 million individuals suffer from the disease. To our knowledge, very few studies have evaluated the correlation between lipid profiles and glycated hemoglobin (HbA1c) in newly diagnosed type II diabetes patients with hypertension. The early detection of lipid abnormalities in these patients will help prevent the cardiovascular outcomes. Material and Methods: The study was conducted in the Department of General Medicine, Sapthagiri Institute of Medical Sciences & Research Center, Bangalore. In our study 70 patients of Type 2 diabetes mellitus were taken for the study after applying inclusion and exclusion criteria. Biochemical data such as fasting plasma glucose (FPG), HbA1c and lipid profile, along with the patient's age, BMI and gender, were also taken from the electronic file system. The inclusion criteria allowed for only patients who were regularly seeing their physician and whose electronic file was up to date. Results: In our study, among 80 Type 2 diabetic individuals included in this study, 47 were male and 33 were female. Distribution of Glucose Triad results of FBS, PPBS and HbA1c levels of patients presented as Mean±SD, mean FBS was 201.49±41.84, mean PPBS was 273.39±91.48 and mean HbA1c was 8.83±0.83. Mean total cholesterol was 201.38 ± 11.48, mean total triglyceride was 198.48 ± 12.39, Mean HDL was 36.48 ± 4.62, mean LDL was 140.09 ± 9.63 and VLDL was 24.81 ± 2.47. HbA1c positively and significantly correlated with total cholesterol (r=0.223), LDL (r=0.243), HbA1c negatively and significantly correlated with HDL (r= - 0.126), and did not show any show correlation with VLDL (r=0.039) and total triglycerides (r=0.17). Conclusion: This study showed a significant correlation between levels of glycosylated hemoglobin (HbA1c) and lipid profile. This may help in predicting the lipid profile levels from the degree of glycemic control and therefore, identifying the patients with increased risk of diabetic complications. [ABSTRACT FROM AUTHOR]