1964-P: Glucose Profiles According to Different Phases of the Menstrual Cycle in Chinese Women with Type 1 Diabetes

by sugaradmin



Introduction and Objective: Glycemic fluctuations across the menstrual cycle have been reported in women with type 1 diabetes (T1D), yet evidence in Asian populations remains limited. This study aimed to explore phase-related differences in glucose profiles across the menstrual cycle in Chinese women with T1D using continuous glucose monitoring (CGM), with an additional exploratory case using an open-source automated insulin delivery (OS-AID) system.Methods: CGM data from 11 Chinese T1D female who reported information of spontaneous menstrual cycle during a 180-day observation period of a randomized controlled trial (NCT03522870) Menstrual cycle phases were estimated by calendar: menstruation (d 0-5), follicular phase (d6-14), estimated ovulation (d15-17), and luteal phase (d18-28). CGM metrics were analyzed within-subject across phases. An additional woman using an OS-AID system was included as an exploratory case.Results: A total of 168,965 CGM readings were analyzed. Median age was 36.3 (32.0-41.6) years; median diabetes duration was 9.0 (7.0-13.4) years. Overall mean glucose was 8.48 ± 1.13 mmol/L, and time in range (TIR, 3.9-10.0 mmol/L) was 60.7 ± 10.0%. Tendency toward lower TIR was observed during the menses phase (TIR 59.1 ± 11.1%), with higher time below 70 mg/dL (TBR70, 9.0 ± 6.4%) and above 180 mg/dL (TAR180, 31.8% ± 13.7%). The highest TIR occurred in the follicular phase (TIR 61.6 ± 9.5%), with lower TBR70 (8.2 ± 5.8%) and TAR180 (30.3 ± 12.7%). Most CGM metrics, including coefficient of variation, were broadly comparable across phases. In the exploratory OS-AID case, glycemic control remained consistently optimal, with the best profile at estimated ovulation (TIR 96.9%; CV 21.5%), whereas TBR70 peaked during menstruation (9.3%).Conclusion: Modest phase-related trends were observed, with lower average glucose during menstruation observed during the use of CGM and OS-AID system, which require cautious interpretation.

Disclosure

Z. Lin: None. Y. Zhou: None. Y. Ni: None. Q. Lin: None. D. Yang: None. H. Deng: None. X. Yang: None. W. Xu: None. J. Yan: None.

Funding

Noncommunicable Chronic Diseases-National Science and Technology Major Project (2023ZD0508200, 2023ZD0508203), The Research Foundation of Medical Science and Technology of Guangdong Province (A2025154?



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