Title
Mathematical model for assessing glycemic control in type 2 diabetes mellitus
Authors
Anitha Misquith1, Harish Rangareddy2,*, Venkateshappa Chikkanarayanappa3, Ayesha Sultana4, Ashakiran Srinivasaiah2
Affiliation
1Department of Biochemistry, Sapthagiri Institute of Medical Sciences & Research Center, Bangalore, Karnataka, India; 2Department of Biochemistry, Haveri Institute of Medical Sciences, Haveri, Karnataka, India; 3Department of Biochemistry, Sri Madhusudan Sai Institute of Medical Sciences and Research, Chikkaballapur, Karnataka, India; 4Department of Pathology, St. George's University School of Medicine, St. George's, Grenada; *Corresponding author
Anitha Misquith - E-mail: anitha.misquith@gmail.com; Phone number: +91-8971587028
Harish Rangareddy - E-mail: harishreddy1349@gmail.com; Phone number: +91-9845355050
Venkateshappa Chikkanarayanappa - E-mail: venkateshappac@gmail.com; Phone number: +91-9900308142
Ayesha Sultana - E-mail: asultana@sgu.edu; Phone number: +1-473-457-0256
Ashakiran Srinivasaiah - E-mail: ashes27@rediffmail.com; Phone number: +91-9342187501
Article Type
Research Article
Date
Received February 1, 2024; Revised February 29, 2024; Accepted February 29, 2024, Published February 29, 2024
Abstract
Glycated hemoglobin (HbA1c) and glycated albumin (GA) are vital markers for assessing glucose control in diabetes. This cross-sectional study involving 901 diagnosed type 2 diabetics aimed to compare calculated HbA1c, using the formula HbA1c = 2.6 + 0.03 × FBS (mg/dL), with directly measured HbA1c. Simultaneously, the study assessed the agreement between the two methods through regression analysis and explored correlations with various measures of glycemic control. The non-parametric Kolmogorov-Smirnov test indicated a non-normal data distribution, prompting appropriate statistical tests. Spearman’s correlation coefficient revealed a strong correlation of calculated HbA1c, calculated GA, and estimated average glucose with measured parameters. Wilcoxon rank sum test indicated a significant difference between directly measured and calculated HbA1c (Z -9.487033, p < 0.0001). Passing Bablok regression analysis showed a significant deviation from linearity. Despite the potential cost benefits in resource-poor settings, caution is advised regarding interchangeable use of calculated and directly measured HbA1c in clinical decision-making. Data shows the importance of robust analytical methods in glycemic control assessment, offering insights for managing type 2 diabetes mellitus.
Keywords
diabetes mellitus, calculated glycosylated hemoglobin, glycemic control
Citation
Misquith et al. Bioinformation 20(2): 116-120 (2024)
Edited by
P Kangueane
ISSN
0973-2063
Publisher
License
This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.
