A pregnancy-specific Glucose management indicator derived from continuous glucose monitoring in pregnant women with type 1 diabetes

被引:0
|
作者
Ling, Ping [1 ]
Yang, Daizhi [1 ]
Wang, Chaofan [1 ]
Zheng, Xueying [2 ]
Luo, Sihui [2 ]
Yang, Xubin [1 ]
Deng, Hongrong [1 ]
Xu, Wen [1 ,3 ]
Yan, Jinhua [1 ,3 ]
Weng, Jianping [2 ]
机构
[1] Sun Yat sen Univ, Affiliated Hosp 3, Dept Endocrinol & Metab, Guangdong Prov Key Lab Diabetol, Guangzhou, Peoples R China
[2] Univ Sci & Technol China, Affiliated Hosp USTC 1, Chinese Acad Sci Hefei, Clin Res Hosp,Dept Endocrinol,Div Life Sci & Med,I, Hefei, Peoples R China
[3] Sun Yat sen Univ, Affiliated Hosp 3, 600 Tianhe Rd, Guangzhou 510630, Peoples R China
基金
中国国家自然科学基金;
关键词
diabetes mellitus; glucose management indicator; glycated haemoglobin A1c; pregnancy; type; 1; MEAN PLASMA-GLUCOSE; HBA(1C); VARIABILITY; HEMOGLOBIN; OUTCOMES; AVERAGE; ASSOCIATION; A1C;
D O I
10.1002/dmrr.3689
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Objective: Glucose management indicator (GMI) is a core metric derived from continuous glucose monitoring (CGM) and is widely used to evaluate glucose control in patients with diabetes. No study has explored the pregnancy-specific GMI. This study aimed to derive a best-fitting model to calculate GMI from mean blood glucose (MBG) obtained from CGM among pregnant women with type 1 diabetes mellitus (T1DM). Methods: A total of 272 CGM data and corresponding laboratory HbA1c from 98 pregnant women with T1DM in the CARNATION study were analysed in this study. Continuous glucose monitoring data were collected to calculate MBG, time-in-range (TIR), and glycaemic variability parameters. The relationships between the MBG and HbA1c during pregnancy and postpartum were explored. Mix-effect regression analysis with polynomial terms and cross-validation method was conducted to investigate the best-fitting model to calculate GMI from MBG obtained by CGM. Results: The pregnant women had a mean age of 28.9. 3.8 years, with a diabetes duration of 8.8. 6.2 years and a mean body mass index (BMI) of 21.1. 2.5 kg/m(2). The HbA1c levels were 6.1. 1.0% and 6.4. 1.0% during pregnancy and at postpartum (p = 0.024). The MBG levels were lower during pregnancy than those at postpartum (6.5. 1.1 mmol/L vs. 7.1. 1.5 mmol/L, p = 0.008). After adjusting the confounders of haemoglobin (Hb), BMI, trimesters, disease duration, mean amplitude of glycaemic excursions and CV%, we developed a pregnancy-specific GMI-MBG equation: GMI for pregnancy (%) = 0.84-0.28* [Trimester] + 0.08 * [BMI in kg/m(2)] + 0.01 * [Hb in g/mL] + 0.50 * [MBG in mmol/L]. Conclusions: We derived a pregnancy-specific GMI equation, which should be recommended for antenatal clinical care. Clinical trial registry number: ChiCTR1900025955.
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页数:9
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