Abstract

Metabolic syndrome is a constellation of metabolic abnormalities that includes central obesity, hypertension, elevated fasting glucose, low high-density lipoprotein (HDL) cholesterol, high triglyceride (National Cholesterol Education Program Adult Treatment Panel III [NCEP ATP III]). It is associated with increased risk of coronary artery disease and stroke. Regardless of the existing controversies in diagnosis and definition, the metabolic syndrome is still considered to be a useful diagnostic tool in primary care prevention. A very few studies have been done in this topic in Gujarat, most of the data are from western population. So, no useful data is available regarding association of various parameters of metabolic syndrome particularly in our setup and area. AIMS AND OBJECTIVES: To study clinical profile of metabolic syndrome and its individual components in Type 2 diabetic and non-diabetic subjects. We also want to compare the distribution of metabolic syndrome by using the different criteria (ATP-III and IDF), compare the association of hypercholesterolemia and hypertension with type 2 diabetes mellitus and to compare the distribution of metabolic syndrome with hyperglycaemia and establishing its strong association with Type 2 DM by comparing them with non-diabetics. MATERIALS AND METHODS: we include the patients with T2DM with age >20 years and should be on treatment. We exclude the patient with T2DM age < 20 years, pregnant women, patient on long term steroid therapy, patient with severe complications, moribund patients and patient refusal. We took Waist Circumference Measurements, Blood Pressure Measurement and biochemical tests. DISCUSSION: Present study highlights the prevalence of metabolic syndrome in two different group, diabetic and non-diabetic. It is evident from the study that diabetic patients have higher prevalence of Mets than normal people. It is also concluded that hypertension, hyperlipidemia and central obesity are also closely related with metabolic syndrome. CONCLUSION: In this study, we have completed our data in our hospital with limited number of patients. When we are calculating the prevalence, larger sample size is recommended. So, we can apply the same for generalized population. Same like diabetic patients, we can also compare the prevalence of metabolic syndrome in hypertensive and non-hypertensive patients by dividing the study population into both groups.

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