1006-P: Developing CGMap—Characterizing Continuous Glucose Monitoring Data in Patients with Type 2 Diabetes



Introduction and Objective: To characterize continuous glucose monitoring (CGM) data in patients with type 2 diabetes (T2D), and to assess the relationship between CGM-derived indicators and diabetes-related clinical parameters.Methods: The data was collected from a randomized trial in China (ChiCTR2000039424), in which patients with T2D wore CGM and received acarbose or sitagliptin. Ordinary least square linear regression and the Spearman method were used to test the relationship between CGM-derived indicators and diabetes-related clinical parameters.Results: In all, 528 patients with T2D from a randomized controlled trial were analyzed. It was shown that CV, SD, and MAGE increased with the growing age and diabetes duration, but decreased with the increase of body mass index. Higher fasting plasma glucose, higher baseline HbA1c, and higher insulin resistance levels were associated with higher GRI, TAR, and eA1c, and they were associated with lower TIR. Besides, higher HOMA-2β was associated with higher TIR and TBR, with lower TAR and eA1c. Hemoglobin had positive correlations to SD, TAR, and eA1c.Conclusion: It was found that glucose variability increased with age and the duration of diabetes. However, glucose variability decreased with increased BMI. Meanwhile, greater glycemic variability was associated with worse islet function, higher baseline glucose level, and higher hemoglobin.

Disclosure

S. Bai: None. C. Lin: None. X. Cai: None. W. Yang: None. F. Lyu: None. L. Ji: None.

Funding

Beijing Natural Science Foundation (No.7202216); National Natural Science Foundation of China (No.81970698 and No.81970708)



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