Lipid profile as an evaluation tool for glycaemic parameters in Type II Diabetes Mellitus

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Aarti Sati ,Amit Varma,Neeraj Kumar, Tariq Masood

Abstract

The study aimed to evaluate the correlation of glycaemic parameters like fasting plasma glucose, glycated haemoglobin, fasting insulin levels with dyslipidaemia in patients suffering from diabetes mellitus (Type II) at a multi-speciality hospital Dehradun Ut-tarakhand. The current analytical cross-sectional study was undertaken in a multispecialty hospital in Uttarakhand between May and December 2019. A total of one hundred Type-II diabetes patients participated in the study. The number of males and females were 49 and 51 in number respectively. The demographic statistics have been accrued via the patient profile form. Essentially, blood tests were done following 12 hours fast to test `fasting plasma levels of glucose, glycated haemoglobin, fasting insulin levels and lipid profile. The criteria of Glycated haemoglobin levels (HbA1c) were used to divide the subjects into three groups (Group A patients exhibiting HbA1c less than or equal to 7%, Group B with values from 7-9%, and Group C patients with HbA1c greater than 9%). The patient had a Body Mass Index range (BMI) of 26-33, putting them in the overweight and obese groups. Multivariate analysis demonstrated tha values of Fasting blood sugar, HbA1c, and HOMA-IR(Homeostatic Model Assessment of Insulin Re-sistance) increased as dyslipidaemia progressed from Group A to Group C. Bivariate correlation analysis on the total patient's data revealed that Fasting blood sugar, Glycated haemoglobin, duration of disease and HOMA-IR values show a direct positive correlation at p<0.05 for the total cholesterol, triglycerides and Low-density lipoprotein-C, but negative correlation at p<0.05 for High-density lipoprotein-C values. The glycated haemoglobin, fasting blood sugar, and insulin resistance are significantly corre-lated with abnormal lipid profiles, specifically the triglyceride levels. However, the lipid profile of the patients had no significant correlation with their BMI or age.

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