Correlation between Glycated hemoglobin and Lipid profile in Type 2 Diabetic population of district Meerut, U.P.
DOI:
https://doi.org/10.7439/ijbar.v7i11.3721Abstract
Background: The Type 2 diabetes mellitus is becoming more and more prevalent in our country India and it is estimated that approximately around 2% of the Indian population i.e around 15 million peoples are suffering from this disease and Glycated hemoglobin (HbA1c) is routinely used as a diagnostic tool for screening and measuring long term control in diabetic patient. Aim: The study was planned to observe the relationship among Glycated hemoglobin (HbA1c), Fasting blood sugar and Lipid profile in Type 2 diabetics of western U.P population. Material and Methods: Data of around 92 males and 112 females, from the age group of 25 to 55 years were selected from December 2014 to July 2016 in a cross sectional manner. Blood sample (3ml) was collected from each subject. Serum was separating by centrifuging blood at 3000 rpm for 10 min. Fasting blood sugar and Lipid profile were estimated by Vitros 250 auto analyzer using readymade dry chemistry kits from Ortho Clinical diagnostics, Johnson and Johnson, USA and HbA1c with kit based method. Result: Mean value of HbA1c in control subjects was 4.62 0.18 and 5.78 0.19 in diabetic subjects, HbA1c values were significantly higher in Diabetic subjects ( 0.001) as compared to control subjects. The mean value of FBS in Diabetic subjects was 115.72 3.83 and 92.33 3.61 in control subjects. Also, FBS mean value was found to be significantly lower in control group ( 0.001) as compared to Diabetic subjects. Conclusion: Our study demonstrates that, altered Lipid profile has been associated with elevated levels of Fasting blood glucose. Thus, the adverse effect of hyperglycemia and associated dyslipidemia must not be overlooked in Diabetic subjects.Downloads
References
Berry C, Tardif JC, Bourassa MG. Coronary heart disease in patients with diabetes: part I: recent advances in prevention and noninvasive management. J Am Coll Cardiol. 2007; 49(6):631-642.
Singh G, Kumar A. Relationship among HbA1c and Lipid Profile in Punjabi Type2 Diabetic Population. Journal of Exercise Science and Physiotherapy.2011; 7(2): 99-102.
Gupta V. Diabetes in Elderly Patients. JK Practitioner. 2002; 91(4): 258-259.
Irene M Stratton, Amanda I Adler, H Andrew W Neil, David R Matthews, Susan E Manley, Carole A Cull. Association of glycemia with macrovascular and microvascular complications of type 2 diabetes (UKPDS 35): prospective observational study. BMJ. 2000; 321(7258): 405-412.
Lipoprotein cholesterol in plasma, without use of the preparative ultracentrifuge. Clinical Chemistry 1972; 18(6): 499-502.
Khan HA, Sobki SH, Khan SA. Association between glycaemic control and serum lipid profile in type 2 diabetic patients: HbA1c predicts dyslipidemia. Clin Exp Med.2007;7 (1): 24-9
Wexler DJ, Grant RW, Meigs JB, Nathan DM, Cagliero E. Sex disparities in treatment of cardio risk factors in patient with type2 diabetes. Diabetes Care.2005; 28(3): 514-520.
Selvin E, Wattanakit K, Steffes MW, Coresh J, Sharrett AR. HbA1c and peripheral arterial disease in diabetes: The Atherosclerosis Risk in Communities study. Diabetes Care.2006; 29(4): 877-882.
Khaw KT, Wareham N, Luben R, Bingham S, Oakes S, Welch A, et al. Glycated hemoglobin, diabetes and mortality in men in Norfolk cohort of European Prospective Investigation of Cancer and Nutrition (EPIC-Norfolk). BM J.2001; 322(7277): 15-18.
Goldberg IJ. Lipoprotein lipase and lipolysis: central roles in lipoprotein metabolism and atherogenesis. J Lipid Res.1996; 37(4): 693-707.
Smellie WS. Hypertriglyceridaemia in diabetes. BMJ.2006; 333 (7581): 1257-60.
Ladeia AM, Adan L, Couto-Silva AC, Hiltner A, Guimaraes AC. Lipid profile correlates with glycemic control in young patients with type1 diabetes mellitus. Prev Cardiol.2006; 9(2): 82-8
Chan WB, Tong PC, Chow CC, So WY, Ng MC, Ma RC et al. Triglyceride predicts cardiovascular mortality and its relationship with glycemia and obesity in Chinese type2 diabetic patients. Diabetes Metab Res Rev.2005; 21(2): 183-8
Huang ES, Meigs JB, Singer DE. The effect of interventions to prevent cardiovascular diseases in patients with type2 diabetes mellitus. Am J Med.2001; 111(8): 633-42.
Hanefeld M, Fischer S, Julius U, Schulze J, Schwanebeck U, Schmechel H et al.Risk factors for myocardial infarction and death in newly detected NIDDM: the Diabetes intervention study, 11 year follow up. Diabetologia.1996; 39(12): 1577-83.
Downloads
Published
Issue
Section
License
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (SeeThe Effect of Open Access).
How to Cite
