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TITLE:

STUDY OF PREVALENCE AND PATTERN OF DYSLIPIDAEMIA IN TYPE 2 DIABETES MELLITUS PATIENTS ATTENDING MEDICAL WARD OF AYUB TEACHING HOSPITAL, ABBOTTABAD

AUTHORS:

Dr. Salman Khan, Dr. Muhammad Zubair,Dr.Taj Mohammad Khan, Dr. Nisar Khan, Dr. Muhammad Imran Ullah, Altaf Ali Mangi

ABSTRACT:

Summary: 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 frequency of dyslipidemia in type 2 diabetes mellitus patients attending the Department of Medicine of Ayub Teaching Hospital Abbottabad. Methods: Patients with Type 2 Diabetes mellitus coming to Medical OPD as well as among those admitted in Medical ‘B’ Ward fulfilling the inclusion criteria were selected. Blood was taken in the fasting state for lipid profile, fasting blood glucose and glycosylated haemoglobin determination. Results: Out of total 196 In frequency distribution Mean age of the patients was 61.21±7.307 ranging from 40 to 70 years. There were 84(42.86%) female and 12(57.14%) were male. In triglycerides 80(40.82%) were found with dyslipidemia. In LDL cholesterol 116(59.18%) dyslipidemics. In HDL 156(79.59%) were dyslipidemia patients. Conclusion: Results suggest high (86%) frequency 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, Pattern, Lipid profile

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