PREVALENCE AND PATTERN OF DYSLIPIDAEMIA IN TYPE 2 DIABETES-PROSPECTIVE STUDY IN POPULATION FROM CENTRAL INDIA
Premshanker Singh*, Ritu Karoli, Nikhil Gupta and Shobhit Shakya
ABSTRACT
Diabetes is endemic globally with increasing prevalence in both developing and developed countries. Persistent hyperglycaemia of diabetes is associated with micro as well as macro vascular complications like coronary heart disease, stroke, diabetic renal disease, diabetic retinopathy and neuropathy etc. Dyslipidemia contribute to considerable increased risk of atherosclerosis and consequent mortality in diabetic patients. It often precedes onset of diabetes particularly type 2 DM and may persist inspite of adequate control of blood sugar. The objective of the study was to study prevalence and pattern of dyslipidemia in type 2 diabetes mellitus
patients attending Medical OPD (MOPD) at Dr RML Institute of Medical Sciences, Lucknow, India (DR RML IMS LKO) wef Apr 2017 to Dec 2019 This was a cross sectional study carried out among 100 Type 2 diabetes. Study population included known as well as newly diagnosed type 2 diabetic patients more than 30 years of age attending MOPD of DR RM, IMS LKO Out of 100 Diabetic patients, 86(86%) had dyslipidemia. Hypercholesterolemia was seen in 36 (36%) study subjects. Increased LDL and triglycerides was observed in 66 (66%) and 64 (64%) study subjects respectively. Lower HDL cholesterol values were observed in 52 (52%) study subjects. Out of 86 study subjects having dyslipidemia, 28 (32.6%) study subjects were having isolated single parameter dyslipidemia while 20 (23.2%) had combined two parameter dyslipidemia and 38 (44.2%) study subjects showed mixed dyslipidemia. Results suggest high (86%) prevalence of dyslipidemia among type 2 diabetes mellitus study subjects. Most common pattern observed was mixed type dyslipidemia. These lipid abnormalities might be the important in view of development of cardiovascular or cerebrovascular diseases. Hence type 2 diabetic patient should undergo the routine monitoring of blood sugar and lipid profile so that any abnormalities can be identified and preventive measures along with interventions can be initiated at the earliest.
Keywords: Type 2 Diabetes Mellitus, Dyslipidemia, Lipid profile.
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