946-P: Impacts of MAGE and SD on the Relationship between TIR and Glucose Management Indicator in T2D Patients

Abstract

Aims: Previous studies proved that glucose coefficient of variation (CV), an index of glycemic variability (GV), affected the relationship between TIR and glucose management indicator (GMI) in patients with diabetes. This study aimed to explore whether other GV indexes, including MAGE and SD of glucose, affect the relationship between TIR and GMI in T2D patients. Methods: Data were collected from T2D patients who received 48-h to 72-h CGM with iPro2 between January 2018 and October 2019. GV indexes, TIR, and GMI were derived from iPro2. A linear regression equation was generated with values of TIR and GMI. Patients were then divided into 3 subgroups according to the values of MAGE or SD. Predicted TIR in given GMI was calculated via the linear regression equations in the respective tertiles groups of MAGE or SD. Results: A total of 118 T2D patients who were 57.2±11.6 years old, with a median diabetes duration of 6.0 years, HbA1c of 6.9±1.2%, and TIR of 87.5±12.9% were included. There was a strong negative correlation between TIR and GMI (r=-0.762, P<0.001). The linear regression equation was TIR%=-21.2× GMI%+224.6. Multiple linear regression analysis showed that both MAGE and SD have impacts on the relationship between TIR and GMI (P<0.001). The predicted TIR decreased when MAGE or SD increased with different given GMI (Table 1). Conclusions: MAGE and SD influenced the relationship between TIR and GMI in T2D patients. Disclosure D.Chen: None. Z.Liu: None. B.Lin: None. D.Yang: None. J.Yan: None. Y.Yang: None. W.Xu: None.