Vol. 9, Special Issue 10, Part R (2025)
Assessment of cut-off for average glucose metabolic index-a new scoring for pre-diabetes: Evaluated among population of South Gujarat
Abhay PV
Background: Diabetes mellitus is evaluated through fasting serum glucose, HbA1c, glucose tolerance test. We are also using scoring system like HOMA IR and METS IR scoring for detecting pre-diabetes and insulin resistance. But recent studies found that these scoring are not consistent and not useful in day to day clinical basis and also it doesn’t evaluate underlying insulin deficiency or beta cell dysfunction simultaneously.
Objectives: 1. To determine cut-offs for Average Glucose Metabolic Index = BMR/(15.5*FASTING GLUCOSE) among population in South Gujarat., 2. To determine the association of the AGMI with BMI.
Methods: The study population is people attending Niramaya Health camp in tertiary care hospital in Surat, South Gujarat. Sample size is 122 young adults aged between 18 years and 45 years. The individuals are evaluated for pulse rate, blood pressure, fasting blood glucose, lipid profile, mode of adipose distribution, BMI and questionnaire were done for addictive habits, eating habits, physical activity and other comorbidities. The data collected is tabulated. Each parameter are plotted in graph for evaluating coefficient of association with AGMI. Mean value of AGMI is calculated and +/-2SD is taken as normal higher and lower cut-offs.
Results: From the study we have found that reference range for the AGMI is 1-1.2 kcal/min in males and 0.8-1 kcal/min in females. AGMI is not associated with BMI, with coefficient of correlation 0.0159.
Conclusion: AGMI is very useful to identify individuals with metabolic dysfunction. It is more simple and affordable than current HOMA IR and METS IR to compare overall glucose metabolism taking into consideration the overlapping effect of insulin resistance and beta cell dysfunction as pathology for diabetes. Also we have found that BMI is not associated with AGMI. However the current study can be scaled up in sample size to get more precise reference interval.
Conflicts of Interest: The author declares that there is no involvement of any third party funding or interest in this research.
Conflicts of Interest: The author declares that there is no involvement of any third party funding or interest in this research.
Pages: 1491-1493 | 133 Views 47 Downloads

