2183-PUB: Standard Deviation Calculated from the 7-Point SMBG Glucose Profiles Is a Good Index of Glycemic Variability Reflecting MAGE Obtained from CGMS

Abstract

Objective: Mean amplitude of glucose excursion (MAGE) obtained from the CGMS is considered a gold standard of glycemic variability (GV). However, the implications of CGMS in routine clinical practice are limited due to its high cost and complexity. This study thus designed to explore whether the GV indices calculated from the more common measurement SMBG can be used to reflect MAGE in T2D patients. Methods: T2D patients simultaneously underwent a 48-h to 72-h CGM and fingertip blood glucose self-monitoring were included. The GV indices calculated from the 7-point SMBG data (pre- and post- breakfast, lunch and dinner and prior to bedtime) were the means of the following indices during CGM period: the standard deviation (SD) of the 7-point glucose profiles, the largest amplitude of glycemic excursions (LAGE, the difference between the daily maximum and minimum glycemic values) and the mean postprandial glucose excursion (MPPGE, the mean value of the differences between each postprandial and preprandial blood glucose). Results: Seventy-eight T2D patients (43.6% male, median age: 62 years, median BMI: 23.83 kg/m2) were included. The mean MAGE, SD, LAGE and MPPGE were 4.11, 2.03, 5.66, 2.57mmol/L, respectively. SD, LAGE and MPPGE were significantly correlative with MAGE (r= 0.625, 0.488 and 0.599, respectively; all P<0.05). In the linear regression analysis, significant relationships were shown between MAGE and SD, LAGE and MPPGE (R2=0.391, 0.359, 0.238, respectively; all P<0.001). The area under the ROC curve for SD (0.809, 95% CI: 0.712-0.906, P<0.05) was superior to that for LAGE (0.793, 95% CI: 0.692-0.894, P<0.05) and MPPGE (0.704, 95% CI: 0.588-0.820, P<0.05) in reflecting MAGE. Conclusions: The GV indices calculated from the SMBG data including SD, LAGE and MPPGE are positively correlated with MAGE obtained from CGM. Among these indices, SD of the 7-point SMBG glucose profiles seems to be a better GV index to reflect MAGE. Disclosure Z. Liu: None. B. Lin: None. W. Xu: None. L. Gong: None. X. Yang: None. B. Yao: None. Funding National Key Research and Development Program of China (2016YFC1304801)