We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
1376-P: Association of Continuous Glucose Monitoring (CGM)-Derived Parameters with Adverse Pregnancy Outcomes in Pregnant Women with Type 1 Diabetes.
- Authors
LUO, SIHUI; LING, PING; DING, YU; ZHENG, XUEYING; YANG, DAIZHI; ZHOU, YONGWEN; YAN, JINHUA; WENG, JIANPING
- Abstract
Background: The relation of CGM derived parameters and adverse pregnancy outcomes (APOs) in pregnant women with type 1 diabetes (T1D) is not completely clear. Methods: During 2015 - 2018, data were prospectively collected from pregnancies of women with pregestational T1D receiving intermittent CGM in 11 centers in China. Characteristics and CGM derived parameters were compared between the women who had severe APOs and those who did not. Severe APOs were defined as maternal death, neonatal death, congenital anomaly, pregnancy loss in 2nd/3rd trimester and neonatal admission to intensive care unit. Results: Data of 84 pregnant women with pregestational T1D were collected. Among them, 56 had received CGM in the 1st trimester, 55 in the 2nd trimester, and 59 in the 3rd trimester. 30 of these 84 women had severe APOs. Compared with women without severe APOs, women who had severe APOs had lower age at diagnosis, longer diabetes duration at conception. For CGM derived parameters, women who had severe APOs had significantly higher mean glucose (MG), MG at wake, MG at night, and time above range (TAR, >7.8mmol/L) throughout all 3 trimesters, compared with women who did not have. Details see Table. Conclusions: Higher MG, MG at wake, MG at night, and TAR throughout pregnancy were associated with the presence of severe APOs in women with T1D. These parameters should be closely monitored. Disclosure: S. Luo: None. P. Ling: None. Y. Ding: None. X. Zheng: None. D. Yang: None. Y. Zhou: None. J. Yan: None. J. Weng: None. Funding: National Health and Family Planning Commission of the People's Republic of China; Foundation for Public Welfare Industry Research Project (201502011)
- Publication
Diabetes, 2020, Vol 69, pN.PAG
- ISSN
0012-1797
- Publication type
Article
- DOI
10.2337/db20-1376-P