Affiliation:
1. Associate Professor, Department of Medicine, Murshidabad Medical College.
2. RMO/SR, Department of Medicine Murshidabad Medical College.
Abstract
Type 2 diabetes is often associated with various coexisting comorbidities like-hypertension and dyslipidemia. They are
very much associated with ASCVD. Effects of diabetes are more predicting. If we can control multiple risk factors
besides Diabetes, we will be able to tackle the ASCVD more efficiently & effectively. The other risk factors for ASCVD
like Hypertension, Dyslipidemia, and obesity are prevalent in our country. There is a combination of 5 risk factors
collectively named as syndrome X including Hypertension (BP >130/85 mm Hg), insulin resistant DM,
hypertriglyceridemia, decreased HDL cholesterol and increased Waist hip ratio. Syndrome X predispose to
atherosclerotic changes in the carotids. High blood pressure is reported in over two-thirds of patients with type 2
diabetes, and its development coincides with the development of hyperglycaemia . Dyslipidemia is frequent among
patients with type 2 DM (T2DM) (prevalence > 75%) and is mainly a mixed dyslipidemia [increase in triglycerides (TGs),
low high-density lipoprotein cholesterol (HDL-C), and small-dense (atherogenic), low-density lipoprotein cholesterol
(LDL-C) particles](2) . It was also reported that microalbuminuria or macroalbuminuria increased the mortality rate by
60 – 80% –(3) . Albuminuria can be measured by urinary Albumin-to Creatinine ratio (ACR) in a random spot urine
collection–(4) . The carotid IMT is significantly higher in diabetic patients than that in non-diabetic patients(5) , and the
increased IMT can predict future events of silent brain infarction and coronary heart disease in the patients with
T2DM(6). Our objective is to find out the prevalence of microalbuminuria and macroalbuminuria, hypertension,
dyslipidemia, Diabetic kidney disease (serum Cr>1.5) and presence of plaque in carotid arteries in type 2 diabetes
patients in our country. Another objective was to find out the distribution of glycemic parameters (FBS, PPBS, HbA1c) and
BMI among study groups.