华南预防医学 ›› 2026, Vol. 52 ›› Issue (9): 1028-1032.doi: 10.12183/j.scjpm.2026.1028

• 论著 • 上一篇    下一篇

妊娠期空腹血糖变化轨迹与胎儿腹围的关系研究

沈倩倩1, 张年芳1, 杜娟1, 庞素华1, 陈文梅2, 赵雪飘1   

  1. 1.江苏省人民医院宿迁医院,江苏 宿迁 223800;
    2.沭阳县妇幼保健院
  • 收稿日期:2026-02-02 发布日期:2026-10-09
  • 通讯作者: 赵雪飘,E-mail:zhaoxuepiao1977@163.com
  • 作者简介:沈倩倩(1985—),女,硕士研究生,副主任医师,研究方向为高危产科
  • 基金资助:
    2023年度省妇幼保健科研项目(F202316); 宿迁市科技计划项目(SY202210)

Association between maternal fasting plasma glucose trajectories during pregnancy and fetal abdominal circumference

Shen Qianqian1, Zhang Nianfang1, Du Juan1, Pang Suhua1, Chen Wenmei2, Zhao Xuepiao1   

  1. 1. Suqian Hospital Affiliated with Jiangsu Provincial People's Hospital, Suqian, Jiangsu 223800, China;
    2. Shuyang County Maternal and Child Health Hospital
  • Received:2026-02-02 Published:2026-10-09

摘要: 目的 探讨妊娠期空腹血糖(FPG)变化轨迹及其与胎儿腹围的关系,为妊娠期血糖管理提供理论依据。方法 选取2023年8月至2025年1月在江苏省人民医院宿迁医院产检并分娩的孕妇为研究对象。于孕12周(T0)、24~28周(T1)、34~37周(T2)及分娩前24 h内(T3)测定FPG,超声测量胎儿腹围。应用潜变量增长混合模型分析妊娠期FPG发展轨迹,校正孕前BMI、孕妇年龄、产次及家族糖尿病史等混杂因素,并通过线性混合效应模型分析其与胎儿腹围Z-score的关系。结果 最终纳入226例孕妇,总失访率1.74%。识别出4类FPG轨迹:持续高水平组(17.7%)、高水平下降组(23.9%)、低水平上升组(15.0%)及持续低水平组(43.4%);4组间孕前BMI及糖尿病家族史分布差异均有统计学意义(均P<0.05)。校正混杂因素后,FPG轨迹组别与时间对胎儿腹围Z-score存在显著交互效应(P<0.001);持续高水平组与低水平上升组胎儿腹围增长速率均显著快于持续低水平组(斜率差分别为0.31和0.25,均P<0.001),高水平下降组腹围增长趋于正常化。结论 孕妇群体中存在4种截然不同的妊娠期FPG变化轨迹。持续高水平与低水平上升轨迹是胎儿腹围过度增长的高风险模式,临床应对此类孕妇加强血糖监测与管理。

关键词: 妊娠期, 空腹血糖, 胎儿腹围, 发展轨迹

Abstract: Objective To investigate the longitudinal trajectories of fasting plasma glucose (FPG) during pregnancy and elucidate their association with fetal abdominal circumference, thereby providing a theoretical foundation for optimal glycemic management in the perinatal period. Methods Pregnant women who received routine prenatal care and subsequently delivered at Suqian Hospital, Affiliated with Jiangsu Province Hospital, between August 2023 and January 2025 were recruied. FPG levels were quantified, and fetal abdominal circumference was assessed via ultrasonography at four critical time points: 12 gestational weeks (T0), 24-28 weeks (T1), 34-37 weeks (T2), and within 24 hours prior to delivery (T3). Latent growth mixture modeling (LGMM) was employed to identify unobserved subpopulations with distinct FPG developmental trajectories. Subsequently, a linear mixed-effects model was utilized to analyze the association between these trajectory classes and the fetal abdominal circumference Z-score, adjusting for potential confounders including pre-pregnancy body mass index (BMI), maternal age, parity, and familial history of diabetes. Results The final analysis included a cohort of 226 pregnant women, with an overall loss to follow-up rate of 1.74%. Four discrete FPG developmental trajectories were identified: persistently high (17.7%), high-decreasing (23.9%), low-increasing (15.0%), and persistently low (43.4%). Statistically significant heterogeneity was observed across the four classes regarding pre-pregnancy BMI and the prevalence of a familial history of diabetes (P<0.05). Following adjustment for confounding variables, a robust interaction effect between the FPG trajectory class and time on the fetal abdominal circumference Z-score was detected (P<0.001). The velocity of fetal abdominal circumference growth in both the persistently high and low-increasing classes was significantly accelerated compared to the persistently low class (slope differences of 0.31 and 0.25, respectively, both P<0.001), whereas the growth trajectory in the high-decreasing class exhibited a trend toward normalization. Conclusion The maternal population manifests four distinct developmental trajectories of FPG during pregnancy. The persistently high and low-increasing trajectories constitute high-risk phenotypic patterns for excessive fetal abdominal circumference growth. It is imperative that clinical practitioners implement intensified glycemic monitoring and targeted management strategies for pregnant women exhibiting these specific glycemic profiles.

Key words: Pregnancy, Fasting plasma glucose, Fetal abdominal circumference, Development trajectories

中图分类号: 

  • R173