CORRELATION BETWEEN GLYCATED HEMOGLOBIN AND HOMA INDICES IN TYPE 2 DIABETES MELLITUS: PREDICTION OF BETA-CELL FUNCTION FROM GLYCATED HEMOGLOBIN

Background: The present study aimed to determine the most efficient insulin resistance function related to glycemic control expressed as glycated hemoglobin (HbAlc) in type 2 diabetes mellitus patients (T2DM). The other aim is to derive equations for the prediction of beta cell functions containing HbA1c as a parameter in addition to fasting glucose and insulin. Methods: T2DM Patients were grouped according to the following: (1) degree of control (good, fair, and poor control) and (2) insulin resistance as observed in obtained data and significant differences revealed by the homeostasis model assessment (HOMA) of related parameters (insulin resistance = HOMA2IR, beta-cell function = HOMA%B, and insulin sensitivity = HOMA%S) among groups. Correlations and forecasting regression analysis were calculated. Results: HbA1c was found to be correlated with insulin resistance parameters in T2DM subgroups. This correlation was also significantly correlated with HOMA%B and the quantitative insulin sensitivity check index (QUICK!) in fair and poor control groups. Regression analysis was used to predict the forecasting equations for HOMA%B. The best applicable equations were derived for healthy control (HOMA2%B=-1.76*FBG+5.00*Insulin+4.69*HbA1c+189.84) and poor control groups (HOMA2%B=0.001* FBG+0.5*Insulin-8.67*HbA1c+101.96). These equations could be used to predict 13-cell function (HOMA%B) after FBG, insulin and HbA1 c values were obtained for healthy and poor control groups. In the good and fair control groups, the applicability of the HOMA model fails to yield appropriate results. Conclusions: Beta-cell function is correlated with QUICKI and HbAl c and could be predicted properly from HbAl c, insulin, and glucose in the healthy and poor control groups. New regression equations were established that involve HbA1c.