Author(s): Dr. Madhusudan Rao Sirivole MD and Sadhvimani Eturi

Abstract: The present study was conducted in the Department of Biochemistry, M.N.R. Medical College, Sangareddy District, Telangana, State, India. A total of n=75 subjects were selected, comprising n=50 subjects (n=25 male and n=25 female) with known Diabetes mellitus and n=25 non-diabetic healthy controls. The study was aimed to investigate the pattern of dyslipidemia among the subjects and understand its association with glycosylated hemoglobin (HbA1c) level in diabetic and healthy controls. Biochemical parameters were estimated by following standard methods. The mean and SD values of fasting blood glucose (164.56 ± 10.41) and post prandial blood glucose (228.60 ± 12.66) were significantly (p<0.05) increased in diabetic cases compared to non-diabetic controls (84.44 ± 5.04 and 123.64 ± 6.20 respectively). The mean and SD of HbA1c (8.88 ± 0.49) in diabetic cases were significantly higher compared to controls (5.08 ± 0.45). Poor glycemic control indicated by HbA1c level >8 was seen in n=34 (68%) of diabetic patients. Poor glycemic control was associated with dyslipidemia in n=24 (48%) diabetic patients. Whereas, 6 cases (12%) showed worse glycemic control with HbA1c level > 9%, and 8 cases showed good glycemic control with HbA1C level ≤ 6%. The mean±SD of serum total cholesterol (216.48 ± 10.87), triglycerides (214.84 ± 8.98), LDL-cholesterol (149.52 ± 5.06) were significantly (p<0.05) high in diabetic cases over controls (167.68 ± 6.83, 154.84 ± 5.38 and 92.12 ± 5.36 respectively). HDL-cholesterol (31.83 ± 4.42) was significantly reduced in diabetic patients compared to controls (46.94 ± 6.84). The lipid profile values in female diabetic and non-diabetic subjects were slightly increased compared to male subjects. However, the values were not statistically significant. 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.

DOI: 10.33545/26174693.2017.v1.i1a.3