Zhang Xiujuan, Wang Yonghui, Zhao Huirong, Chen Shenglin, Gao Xia
Department of Endocrinology, Beijing Chao-yang Hospital, Capital Medical University, Beijing 100020, China.
Department of Obstetrics and Gynecology, Beijing Chao-yang Hospital, Capital Medical University, Beijing 100020, China.
J Diabetes Complications. 2025 Jun;39(6):109035. doi: 10.1016/j.jdiacomp.2025.109035. Epub 2025 Apr 8.
Currently, risk factors for gestational diabetes mellitus (GDM) and its impact on maternal and neonatal outcomes have not been fully elucidated. Therefore, we performed a retrospective epidemiologic study to explore the above research objectives.
We collected extensive clinical data from January 2020 to June 2023 for 855 maternity cases at the Department of Obstetrics and Gynecology, Chaoyang Hospital, Capital Medical University. Vitamin D deficiency, undergoing assisted reproductive techniques, advanced maternal age (≥35), multiparas, abortion history, pre-pregnancy body mass index (≥25.0), twin pregnancy, polycystic ovary syndrome (PCOS), family history of diabetes, history of delivering a low-birth-weight infant, and weight gain during gestation of >2 kg per month (mean) as variables that may affect GDM to investigate the risk factors for GDM. In addition, a total of 15 adverse postpartum outcomes (including maternal complications and neonatal complications) were used to explore the adverse effects of maternal comorbidity with GDM. Variables that were significant in the univariate logistic regression model were included in the multivariate logistic regression model. Receiver operating characteristic (ROC) curves were conducted for the ability to predict the risk of the GDM and its impact on maternal and neonatal outcomes, using variables derived from the multivariate logistic regression models.
The results of multivariate logistic regression analyses shown that only multipara was not a risk factor for the development of GDM. Postpartum hemorrhage (blood loss ≥500 ml) and the neonatal Apgar score (≤9) (all P > 0.05) was excluded in the multivariate logistic regression model. According to the results of multivariate logistic regression analyses, the incidence of hypothyroid complications, hyperlipidemic complications, postpartum anemia, gestational hypertension, racket placenta, premature rupture of membranes, fetal malposition, macrosomia (≥4000 g), low-birth-weight infants (<2500 g), prematurity, neonatal infections, neonatal jaundice, and fetal distress was higher in pregnancies with combined GDM (all P < 0.05). The model demonstrated excellent diagnostic performance, with an area under the ROC curve of 0.91, indicating its efficacy in predicting adverse prognostic outcomes associated with maternal GDM.
It is essential for women of childbearing age to correct vitamin D deficiency as well as to maintain their body mass index within the normal range before preparing for pregnancy. Maternal weight gain needs to be managed appropriately throughout pregnancy, which may reduce the risk of GDM to some extent. Therefore, our results suggest that effective measures to reduce the risk of GDM are essential for both the mother and the newborn.
目前,妊娠期糖尿病(GDM)的危险因素及其对母婴结局的影响尚未完全阐明。因此,我们进行了一项回顾性流行病学研究以探索上述研究目标。
我们收集了2020年1月至2023年6月首都医科大学附属北京朝阳医院妇产科855例产妇的广泛临床数据。将维生素D缺乏、接受辅助生殖技术、高龄产妇(≥35岁)、经产妇、流产史、孕前体重指数(≥25.0)、双胎妊娠、多囊卵巢综合征(PCOS)、糖尿病家族史、分娩低体重儿史以及孕期平均每月体重增加>2 kg作为可能影响GDM的变量,以研究GDM的危险因素。此外,共采用15种不良产后结局(包括母亲并发症和新生儿并发症)来探讨母亲合并GDM的不良影响。单因素逻辑回归模型中有统计学意义的变量纳入多因素逻辑回归模型。利用多因素逻辑回归模型得出的变量绘制受试者工作特征(ROC)曲线,以评估预测GDM风险及其对母婴结局影响的能力。
多因素逻辑回归分析结果显示,仅经产妇不是GDM发生的危险因素。产后出血(失血≥500 ml)和新生儿Apgar评分(≤9分)在多因素逻辑回归模型中被排除(均P>0.05)。根据多因素逻辑回归分析结果,合并GDM的妊娠中甲状腺功能减退并发症、高脂血症并发症、产后贫血、妊娠期高血压、球拍状胎盘、胎膜早破、胎位异常、巨大儿(≥4000 g)、低体重儿(<2500 g)、早产、新生儿感染、新生儿黄疸和胎儿窘迫的发生率更高(均P<0.05)。该模型显示出良好的诊断性能,ROC曲线下面积为0.91,表明其在预测与母亲GDM相关的不良预后结局方面的有效性。
育龄妇女在备孕前纠正维生素D缺乏并将体重指数维持在正常范围内至关重要。孕期需要适当控制母亲体重增加,这可能在一定程度上降低GDM的风险。因此,我们的研究结果表明,采取有效措施降低GDM风险对母亲和新生儿均至关重要。