Relationship of HbA1c with plasma atherogenic index and non-HDL cholesterol in patients with type 2 diabetes mellitus
Purpose Type 2 diabetes mellitus (T2DM) is a major risk factor for cardiovascular diseases (CVD). The plasma atherogenic index (PAI) has been suggested as a novel marker of atherosclerosis and coronary heart disease. The present study is conducted to investigate the relationship between glycated hem...
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Published in | International journal of diabetes in developing countries Vol. 41; no. 2; pp. 302 - 306 |
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Main Authors | , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
New Delhi
Springer India
01.06.2021
Springer Nature B.V |
Subjects | |
Online Access | Get full text |
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Summary: | Purpose
Type 2 diabetes mellitus (T2DM) is a major risk factor for cardiovascular diseases (CVD). The plasma atherogenic index (PAI) has been suggested as a novel marker of atherosclerosis and coronary heart disease. The present study is conducted to investigate the relationship between glycated hemoglobin (HbA1c), non-HDL (high-density lipoprotein) cholesterol, and atherogenic index within patients with T2DM.
Materials and methods
A total of 4252 patients with T2DM were screened retrospectively and parameters including glucose, HbA1c, high-density lipoprotein (HDL) cholesterol, low-density lipoprotein (LDL) cholesterol, triglyceride, TSH, age, and gender were recorded. Non-HDL cholesterol and PAI were calculated as follows:
PAI
=
TG
÷
HDL
cholesterol
non
−
HDL
=
total cholesterol
−
HDL
cholesterol
Results
Mean age was 57.06 ± 11.39 years. Mean HbA1c was 8.49 ± 1.86%, PAI ratio was 4.12 ± 3.88 mg/dl, and mean non-HDL cholesterol was 156.50 ± 45.39 mg/dl. Non-HDL cholesterol (
r
= 0.427;
p
< 0.001), HbA1c (
r
= 0.163;
p
< 0.001), and glucose (
r
= 0.154;
p
< 0.001) showed a significantly positive correlation with PAI.
Conclusion
Although a respectable attention is drawn to non-HDL cholesterol based on the present data, PAI may have a stronger relationship with HbA1c in patients with T2DM. PAI may be beneficial in predicting patients who have high risk for CVD in clinical practice. |
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ISSN: | 0973-3930 1998-3832 |
DOI: | 10.1007/s13410-020-00884-7 |