出 处:《医药论坛杂志》2025年第2期153-157,共5页Journal of Medical Forum
摘 要:目的 通过收集并分析孕妇的产次、妊娠期糖尿病状况以及孕前肥胖等数据,旨在明确这些因素与先兆子痫发病之间的相关性。方法 选取2022年1月至2023年12月新乡市妇幼保健院7 786名分娩产妇的临床资料实施回顾性分析,按先兆子痫发生情况分为先兆子痫264例与非先兆子痫7 522例。分析先兆子痫发生率,并通过二元logistic回归分析先兆子痫发病影响因素,使用受试者工作特征(receiver operating characteristic,ROC)曲线分析产次、妊娠期糖尿病和孕前肥胖与联合数据预测先兆子痫发病的价值。结果 2022年发生先兆子痫138例,占比3.20%,2023年发生先兆子痫126例,占比3.63%,研究纳入7 786名产妇中总发生先兆子痫264例,总占比3.39%。二元logistic回归分析显示,产次(≥3次)为先兆子痫发病的保护因素,流产史、孕前肥胖、妊娠期糖尿病是先兆子痫发病的危险因素(P<0.05)。ROC曲线分析显示,产次、妊娠期糖尿病和孕前肥胖预测先兆子痫发病曲线下面积(area under the curve,AUC)分别为0.559、0.566、0.610。将产次、妊娠期糖尿病和孕前肥胖统计分析得出联合数据,联合数据预测先兆子痫发病的AUC为0.669,敏感度为0.511、特异性为0.778。结论 产次(≥3次)为先兆子痫发病的保护因素,流产史、孕前肥胖、妊娠期糖尿病是先兆子痫发病的危险因素,且产次、妊娠期糖尿病和孕前肥胖联合预测先兆子痫发生有一定价值。Objective To collect and analyze data such as the parity of pregnant women,the status of gestational diabetes mellitus,and pre-pregnancy obesity,aiming to clarify the associations between these factors and the onset of pre-eclampsia.Methods The clinical data of 7 786 deliveries in Xinxiang Maternal and Child Health Care Hospital from January 2022 to December 2023 were retrospectively analyzed and classified into 264 cases of preeclampsia and 7 522 cases of non-preeclampsia according to the occurrence of preeclampsia.The prevalence of preeclampsia was analyzed,and the factors influencing the development of preeclampsia were analyzed by binary logistic regression,and the value of the number of deliveries,gestational diabetes and pre-pregnancy obesity in predicting the development of preeclampsia was analyzed by using receiver operating characteristic(ROC) curves in relation to the combined data.Results There were 138 cases of preeclampsia in 2022(3.20%) and 126 cases of preeclampsia in 2023(3.63%),with a total of 264 cases of preeclampsia out of 7 786 laboring mothers included in the study,with a total percentage of 3.39%.Binary logistic regression analysis showed that the number of deliveries(≥3) was a protective factor for the development of preeclampsia,and a history of miscarriage,pre-pregnancy obesity,and diabetes mellitus during gestation were risk factors for the development of preeclampsia(P<0.05).ROC curve analysis showed that the area under the curve(AUC) of the number of deliveries,gestational diabetes mellitus,and pre-pregnancy obesity predicted the incidence of preeclampsia as 0.559,0.566,and 0.610,respectively.The combination of the number of deliveries,gestational diabetes mellitus,and pre-pregnancy obesity were statistically analyzed to produce joint data,which predicted the onset of preeclampsia with an AUC of 0.669,a sensitivity of 0.511 and a specificity of 0.778.Conclusion The number of deliveries(≥3) is a protective factor for the development of preeclampsia,and a history of miscarriage,pre
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