The Association of Glycated Hemoglobin With Lipid Profile Indices in Type 2 Diabetic Patients

  • Hamidreza Samimagham
  • Mariana Bargak
  • Mehran Ghasemzadeh
  • Mitra Kazemi Jahromi
Keywords: Glycated hemoglobin A1C (HbA1C); Estimated glomerular filtration rate (eGFR); Lipid profile; Diabetes

Abstract

The high risk of lipid abnormalities in type 2 diabetic (T2D) patients with uncontrolled hyperglycemia may be associated with an increased risk of cardiovascular complications. The aim of the current study was to investigate the association between glycated hemoglobin )HbA1c( and lipid profile levels in T2D patients. This cross-sectional study was conducted on 802 T2D patients, aged≥ 40 years, visiting the Abu Reyhan Clinic of Shahid Mohammadi Hospital in Bandar Abbas, Iran. Serum lipid profiles were measured by the enzymatic method. Diabetes was defined based on the criteria of the American Diabetes Association. The association of HbA1c and estimated glomeruli filtration rate (eGFR) with lipid profile indices was assessed using the Spearman correlation coefficient test and linear regression model. The mean±SD age of participants (27.7% of men) was 53.55±5.56 years. The mean±SD of HbA1c and eGFR for all subjects were 8.97±2.14 and 86.30±17.48, respectively. In this study,a positive association was observed between HbA1c and fasting blood glucose (r=0.619, β=0.635), total cholesterol (r=0.165, β=0.188), triglycerides (r=0.103, β=0.095), and low-density lipoprotein cholesterol (r=0.162, β=0.173), (P<0.01). Also, an inverse association has been observed between eGFR level and TGs (r=-0.08, β=-0.096) and FBS (r=- 0.123, β=-0.172), (P<0.05). Our findings suggested that HbA1c is not only an applicable predictor of longterm glycaemic control but also can be considered as a potential biomarker for predicting lipid abnormalities in T2D patients.

Published
2020-11-10
Section
Articles