Pattern and predictors of dyslipidemia in patients with type 2 diabetes mellitus.

Dyslipidemia is a major risk factor for macro-vascular complications in patients with type 2 diabetes mellitus (T2DM). Present study explored pattern and predictors of dyslipidemia in Bangladeshi T2DM patients. The cross-sectional study is conducted among 366 consecutive eligible T2DM patients aged >30 years, BIRDEM diabetic hospital, during July-to-December 2010. Physical examination, diabetic profile, lipid profile and serum createnine was performed. Adjusted odds ratio and confidence limit were generated through binary logistic regression. Most frequent form (59.3%) of dyslipidemia is low HDL. Duration of T2DM is significantly correlated with TC (P<0.05), HDL (P<0.05) and LDL (P<0.05) in both male and female. Glycemic control in terms of HbA1c >7% appeared as predictor of dyslipidemia (P<0.01). Duration T2DM is associated with increased risk of having higher TC (P<0.05), LDL (P<0.05) and lower HDL (P<0.01) and does not seem to affect triglyceride (P>0.05). T2DM with comorbid hypertension seems to predict hyper tri-glyceridemia and lower HDL. Both TC-HDL ratio and LDL-HDL ratio appeared as good predictor of all four parameters of dyslipidemia (P<0.01). The characteristic features of diabetic dyslipidemia are low HDL, high triglyceride and LDL cholesterol level. Low HDL level is the most frequent type of abnormality. Poor glycemic control, prolonged duration, coexisting hypertension predicts dyslipidemia in T2DM.

Risk factors of diabetic retinopathy in Bangladeshi type 2 diabetic patients.

AIMS: To determine the risk factors associated with diabetic retinopathy (DR) in Bangladeshi type 2 diabetic subjects. METHODS: A cohort of 977 type-2 diabetic patients was recruited retrospectively based on hospital records in 2008, who were naïve type-2 diabetes during 1993. Data on diabetes and lipid profile with serum creatinine and biophysical measures were obtained at baseline, 5, 10 and 15 years. DR was diagnosed by retinal color photography. Generalized linear models were used to assess the associations of clinical, biochemical and anthropometric variables with retinopathy at three follow-up. Cumulative exposures were determined based on average exposure to individual attribute. IRR and 95% CI were generated through Poisson regression model, adjusting for age-at-diagnosis of diabetes, baseline BMI, end-line waist-to-hip ratio and present physical activity status. RESULTS: DR patients had significantly poorer glycemic control at all three follow-ups. Age, residence, physical activity, serum creatinine and hypertension appeared as independent risk factors for DR in all three follow-up points. Poisson regression model identified glucose deregulation (IRR 1.8; CI 1.5-2.1), hypertension (IRR 1.5; CI 1.2-1.8) and raised serum creatinine (IRR 1.9; CI 1.5-2.3) as significant predictors for DR adjusted for possible confounders. Work related moderate-to-heavy physical activity (IRR 0.2; CI 0.1-0.3) appeared as protective. CONCLUSIONS: Along with poor glycemic control, hypertension, nephropathy are independent risk factor retinopathy.