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Article . 2022
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2022
License: CC BY
Data sources: Datacite
ZENODO
Article . 2022
License: CC BY
Data sources: Datacite
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Association Between Glycated Hemoglobin (HbA1c) and the Lipid Profile in Patients with Type 2 Diabetes Mellitus at a Tertiary Care Hospital: A Retrospective Study

Authors: Shiv Prakash Rathore; Kusum Bala Jain; Gulab Kanwar; Mohd Shakeel;

Association Between Glycated Hemoglobin (HbA1c) and the Lipid Profile in Patients with Type 2 Diabetes Mellitus at a Tertiary Care Hospital: A Retrospective Study

Abstract

Background: HbA1C is not only a glycemic index but can also be used as a marker of dyslipidemia and thus can be used as a preventive measure for the development of CVD in patients with T2DM. Methods: This retrospective cross-sectional study was conducted during the year 2012-13. Venous blood samples were collected from 300 type 2 diabetic patients. The sera were analyzed for HbA1c, fasting blood glucose (FBG) and lipid profile panel test. Dyslipidemia was defined as per the National Cholesterol Education Programme (NCEP) Adult Treatment Panel (ATP) III guidelines. Diabetes was defined as per American diabetes association criteria. The statistical analysis was done on Microsoft excel and Epi info-6 software. Result: In our present study 95(81.89%) females out of 116 and 151 (82.06 %) males out of 184 were dyslipidemic. HbA1c demonstrated positive and significant correlations with total cholesterol (TC), low density lipoprotein cholesterol (LDL-C), high density lipopro-tein cholesterol (HDL-C) and LDL-C. Patients with HbA1c value > 7.0% had significantly higher value of TC, Triacylglycerol (TAG), LDL-C, HDL-C as compared to the patients with HbA1c ≤ 7.0%. HbA1c can be used as a biomarker for predicting dyslipidemia in type 2 diabetic patients in addition to glycemic control.

Background: HbA1C is not only a glycemic index but can also be used as a marker of dyslipidemia and thus can be used as a preventive measure for the development of CVD in patients with T2DM. Methods: This retrospective cross-sectional study was conducted during the year 2012-13. Venous blood samples were collected from 300 type 2 diabetic patients. The sera were analyzed for HbA1c, fasting blood glucose (FBG) and lipid profile panel test. Dyslipidemia was defined as per the National Cholesterol Education Programme (NCEP) Adult Treatment Panel (ATP) III guidelines. Diabetes was defined as per American diabetes association criteria. The statistical analysis was done on Microsoft excel and Epi info-6 software. Result: In our present study 95(81.89%) females out of 116 and 151 (82.06 %) males out of 184 were dyslipidemic. HbA1c demonstrated positive and significant correlations with total cholesterol (TC), low density lipoprotein cholesterol (LDL-C), high density lipopro-tein cholesterol (HDL-C) and LDL-C. Patients with HbA1c value > 7.0% had significantly higher value of TC, Triacylglycerol (TAG), LDL-C, HDL-C as compared to the patients with HbA1c ≤ 7.0%. HbA1c can be used as a biomarker for predicting dyslipidemia in type 2 diabetic patients in addition to glycemic control.

Keywords

Diabetes mellitus, Dyslipidemia, Glycated hemoglobin, Lipid Profile panel, Biomarker

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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