Objective: To investigate the relationship between time in range (TIR, 3.9-10.0mmol/L) and glucose management indicator (GMI) in adolescents and children with type 1 diabetes mellitus (T1DM) and explore the impact of coefficient of variation (CV) on their relationship.

Methods: Data derived from continuous glucose monitoring (CGM) and other clinical data (including age, duration of T1DM, and laboratory-measured HbA1c) were obtained from the annual follow-up of the Guangdong T1DM Translational Medicine Study. The patients under 18 years old were included. The patients were divided into CV≤36% group and CV>36% group by the attainment of CV. The relationship between TIR and GMI of both groups was assessed with correlation coefficient. Further, patients were divided into 4 groups by the interquartile range of CV. The linear regression model was used to calculate the TIR predicted value corresponding to the same GMI in 4 groups.

Results: The 56 eligible datasets collected from May 2014 to August 2021 were included. The median age, duration of T1DM, and laboratory-measured HbA1c were 14.00 (12.00, 16.00) years, 4.15 (1.66, 5.29) years, and 9.00 (7.65, 11.23) %, respectively. The median TIR, GMI, CV, and valid number of days the CGM device was worn were 60.73 (42.59, 77.72) %, 7.37 (6.78, 8.56) %, 30.38 (24.87, 34.94) %, and 3.39 (2.97, 4.84) days, respectively. TIR and GMI were highly linear correlated (R2=0.89, p<0.001), and a significantly higher Spearman’s correlation coefficient was observed in the CV≤36% group than in CV>36% group ((R2=0.92, p<0.001) vs. (R2=0.63, p=0.004)). When the GMI was 7%, the corresponding TIR predicted values gradually decreased with the increase of CV, which were 75.66% (CV≤24.87%), 73.48% (24.87%<cv≤30.38%), 69.16% (30.38%34.94%).

Conclusions: TIR and GMI were highly linear correlated in adolescents and children with T1DM. With constant GMI, the less the glycemic fluctuation, the higher the TIR.</cv≤30.38%), 69.16% (30.38%

Disclosure

M.Lei: None. J.Lv: None. X.Mai: None. H.Deng: None. C.Wang: None. D.Yang: None. X.Yang: None. W.Xu: None. J.Yan: None.

Funding

Science and Technology Planning Project of Guangzhou (202102010154)

© 2023 by the American Diabetes Association
2023
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