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Relationship between glycaemic control and lipid profile in type 2 diabetes mellitus patients in a low-resource

Ifeyinwa Dorothy Nnakenyi1, Emeka Francis Nnakenyi2, Elijah Joshua Parker3

  • 1Department of Chemical Pathology, University of Nigeria, University of Nigeria Teaching Hospital, Ituku Ozalla, Enugu, Nigeria.

The Pan African Medical Journal
|July 20, 2022
PubMed

Insights

Glycated haemoglobin (HbA1c) correlates with blood lipids in type 2 diabetes patients. Monitoring HbA1c may help manage both glycaemic control and dyslipidaemia, potentially reducing cardiovascular disease risk.

Area of Science:

  • Endocrinology
  • Cardiovascular Medicine
  • Clinical Chemistry

Background:

  • Diabetes mellitus, particularly type 2 (T2DM), is a significant risk factor for cardiovascular disease (CVD).
  • Glycated haemoglobin (HbA1c) measures long-term glycaemic control in T2DM.
  • Dyslipidaemia is a key risk factor for CVD, often co-existing with T2DM.

Purpose of the Study:

  • To investigate the relationship between glycaemic control (HbA1c) and lipid profiles in T2DM patients.
  • To explore the potential of HbA1c as a dual marker for glycaemic status and dyslipidaemia.

Main Methods:

  • A cross-sectional study involving 55 T2DM patients in Enugu, Nigeria.
  • Data collection included questionnaires and venous blood samples for HbA1c and fasting lipid profiles.
  • Statistical analysis used Student T-test and Pearson correlation coefficient (p<0.05 significant).

Main Results:

  • A significant positive correlation was observed between HbA1c and total cholesterol (TC), LDL-C, and triglycerides (TG).
  • A significant negative correlation was found between HbA1c and HDL-C.
  • Over 60% of patients exhibited poor glycaemic control (HbA1c ≥ 7%).

Conclusions:

  • The strong correlation between HbA1c and lipid parameters highlights the importance of managing both glycaemic control and dyslipidaemia in T2DM.
  • HbA1c may serve as a cost-effective dual marker for monitoring glycaemic status and dyslipidaemia, aiding in CVD risk reduction.
Abstract

Keywords:
Cardiovascular diseasediabetes mellitusdyslipidaemiaglycaemic controllipid profilelow-resource setting

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