Sun Ting, Zhang Yangyang, Xie Chunzhi, Teng Anyi, Lin Shi, Zhang Hui, Li Yan
Department of Gynaecology and Obstetrics, Maternal and Child Health Hospital, Shanghai, China.
Department of Gynaecology and Obstetrics, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Front Glob Womens Health. 2025 Mar 6;6:1496085. doi: 10.3389/fgwh.2025.1496085. eCollection 2025.
To establish a predictive model for spontaneous preterm birth (SPB) in primiparas with grade A1 gestational diabetes mellitus (GDM).
The clinical data of 1,229 primiparas with grade A1 GDM who delivered in our hospital from July 2020 to August 2023 were retrospectively analyzed, including 142 primiparas in the SPB group and 1,087 primiparas in the full-term group. Their basic information, family history, weight, cervical length (CL) measured by transvaginal ultrasound in the second trimester, and pregnancy complications were analyzed. The factors influencing SPB were explored, and a prediction model based on a random forest algorithm was constructed.
Short CL in the second trimester, a family history of preterm birth, a high pre-pregnancy and prenatal body mass index, the use of assisted reproductive technology, and a high fasting blood glucose level in the first trimester were important risk factors for SPB in primiparas with grade A1 GDM. The prediction model constructed in this study has a high overall prediction angle.
Evaluation of the above risk factors before or during pregnancy and preventive measures and interventions targeting these risk factors will reduce the risk of SPB in primiparas with grade A1 GDM.
建立A1级妊娠期糖尿病（GDM）初产妇自发性早产（SPB）的预测模型。
回顾性分析2020年7月至2023年8月在我院分娩的1229例A1级GDM初产妇的临床资料，其中SPB组142例，足月组1087例。分析其基本信息、家族史、体重、孕中期经阴道超声测量的宫颈长度（CL）及妊娠并发症。探讨影响SPB的因素，并构建基于随机森林算法的预测模型。
孕中期CL短、早产家族史、孕前及孕期高体重指数、使用辅助生殖技术以及孕早期空腹血糖水平高是A1级GDM初产妇发生SPB的重要危险因素。本研究构建的预测模型具有较高的总体预测准确率。
在妊娠前或妊娠期间评估上述危险因素，并针对这些危险因素采取预防措施和干预措施，将降低A1级GDM初产妇发生SPB的风险。
