Ye Yufeng, Zhang Liuyan, Han Yonggui, Yu Xialei
Department of Obstetrics, Beilun District People's Hospital, Ningbo, Zhejiang, China.
Department of Obstetrics and Gynecology, The Third Hospital of Beilun District, Ningbo, Zhejiang, China.
Br J Hosp Med (Lond). 2025 Jun 25;86(6):1-13. doi: 10.12968/hmed.2024.0990. Epub 2025 Jun 20.
Pregnant women with gestational diabetes mellitus (GDM) are at an increased risk of developing preeclampsia, a condition that not only threatens maternal and fetal safety but also compromises organ function. This study aimed to determine the prevalence of preeclampsia among pregnant women with GDM in China and to identify its associated risk factors. A total of 212 GDM patients who underwent prenatal care and delivery at Beilun District People's Hospital between September 2020 and September 2024 were included in the study. Participants were divided into a preeclampsia group (PE group) and a non-preeclampsia group (Non-PE group) based on the presence or absence of preeclampsia. Clinical and demographic data were extracted from the medical record system and compared between the two groups. Univariate and multivariate analyses were conducted to identify factors influencing the occurrence of preeclampsia. Receiver operating characteristics (ROC) curves were used to evaluate the predictive efficacy of statistically different indicators. Among the 212 GDM patients, 60 developed preeclampsia (PE group), while 152 did not (Non-PE group), resulting in a preeclampsia prevalence of 28.30% (60/212). Multivariate logistic regression analysis identified high systolic blood pressure (SBP) ( < 0.001), high diastolic blood pressure (DBP) ( = 0.002), elevated body mass index (BMI) ( < 0.001), increased glycated hemoglobin (HbA1c) ( = 0.007), and high blood urea nitrogen (BUN) ( = 0.017) as independent risk factors for preeclampsia in GDM patients. The predictive value for preeclampsia was assessed using ROC curve analysis. When BMI was ≥23.205 kg/m, the area under the curve (AUC) was 0.695 [ < 0.001, 95% CI (0.612, 0.778)], with a sensitivity of 0.683 and specificity of 0.632. For HbA1c ≥5.550%, the AUC was 0.665 [ < 0.001, 95% CI (0.583, 0.747)], with a sensitivity of 0.617 and specificity of 0.658. When BUN was ≥4.250 mmol/L, the AUC was 0.692 [ < 0.001, 95% CI (0.612, 0.772)], with a sensitivity of 0.550 and specificity of 0.763; The combined prediction model of these three parameters yielded an AUC of 0.826 [ < 0.001, 95% CI (0.759, 0.892)], with a sensitivity of 0.783 and specificity of 0.803. The prevalence of preeclampsia was significantly higher among patients with GDM. In addition to blood pressure, BMI, HbA1c, and BUN levels are key factors associated with preeclampsia risk and may be used together to assist in predicting GDM patients with preeclampsia. It is necessary to pay more attention to the high-risk groups of preeclampsia and formulate targeted health management strategies to reduce the risk of preeclampsia and improve maternal and neonatal outcomes.
患有妊娠期糖尿病(GDM)的孕妇患先兆子痫的风险增加,先兆子痫不仅威胁母婴安全,还会损害器官功能。本研究旨在确定中国GDM孕妇中先兆子痫的患病率,并识别其相关危险因素。本研究纳入了2020年9月至2024年9月期间在北仑区人民医院接受产前检查和分娩的212例GDM患者。根据是否患有先兆子痫,将参与者分为先兆子痫组(PE组)和非先兆子痫组(非PE组)。从病历系统中提取临床和人口统计学数据,并在两组之间进行比较。进行单因素和多因素分析以确定影响先兆子痫发生的因素。采用受试者工作特征(ROC)曲线评估统计学上有差异的指标的预测效能。在212例GDM患者中,60例发生了先兆子痫(PE组),而152例未发生(非PE组),先兆子痫患病率为28.30%(60/212)。多因素逻辑回归分析确定,收缩压(SBP)升高(<0.001)、舒张压(DBP)升高(=0.002)、体重指数(BMI)升高(<0.001)、糖化血红蛋白(HbA1c)升高(=0.007)和血尿素氮(BUN)升高(=0.017)是GDM患者先兆子痫的独立危险因素。使用ROC曲线分析评估先兆子痫的预测价值。当BMI≥23.205kg/m时,曲线下面积(AUC)为0.695[<0.001,95%CI(0.612,0.778)],灵敏度为0.683,特异度为0.632。对于HbA1c≥5.550%,AUC为0.665[<0.001,95%CI(0.583,0.747)],灵敏度为0.617,特异度为0.658。当BUN≥4.250mmol/L时,AUC为0.692[<0.001,95%CI(0.612,0.772)],灵敏度为0.550,特异度为0.763;这三个参数的联合预测模型的AUC为0.826[<0.001,95%CI(0.759,0.892)],灵敏度为0.783,特异度为0.803。GDM患者中先兆子痫的患病率显著更高。除血压外,BMI、HbA1c和BUN水平是与先兆子痫风险相关的关键因素,可共同用于协助预测患有先兆子痫的GDM患者。有必要更加关注先兆子痫的高危人群,并制定有针对性的健康管理策略,以降低先兆子痫的风险,改善母婴结局。