首页|期刊导航|江苏大学学报(医学版)|初产妇引产后中转剖宫产预测模型的建立

初产妇引产后中转剖宫产预测模型的建立OA

A model for predicting cesarean delivery after induction in primiparas

中文摘要英文摘要

目的:基于临床真实世界数据,在接受引产的初产妇人群中建立引产后中转剖宫产(cesarean delivery after induction,CDaI)的预测模型.方法:选择 2020 年 3 月 1 日至 2023 年 12 月 31 日在上海市松江区妇幼保健院产检并接受引产的孕足月初产妇 3 069 例,根据分娩方式分为 CDaI 组(n=970)和阴道分娩(vaginal delivery,VD)组(n=2 099),比较两组临床基线资料;通过 Logistic 回归和 LASSO 回归模型筛选预测因子;利用受试者工作特征(receiver operating characteristic,ROC)曲线评估模型的预测能力,通过 Hosmer-Lemeshow 对模型进行拟合优度检验.结果:CDaI 组年龄、分娩孕周、孕前体重指数(body mass index,BMI)、孕期增重、缩宫素用量、通过辅助生殖技术(assisted reproductive technology,ART)受孕占比和妊娠期高血压疾病(hypertensive disorders of pregnancy,HDP)发生率均明显高于VD 组(P 均<0.05),但CDaI 组使用硬膜外分娩镇痛、导乐分娩占比明显低于VD 组(P 均<0.05).Logistic 回归分析显示年龄、分娩孕周、孕前 BMI、孕期增重、引产方式、缩宫素用量、硬膜外分娩镇痛、导乐分娩是初产妇 CDaI 的独立影响因素,预测模型在训练集和验证集的 AUC 分别为 0.83 和 0.82;采用 Hosmer-Lemeshow 检验结果显示模型的拟合程度较好(P=0.62,0.38);利用 LASSO 回归筛选的 8 个变量构建的预测模型 AUC 为 0.82.结论:基于年龄、分娩孕周、孕前 BMI、孕期增重、引产方式、缩宫素用量、硬膜外分娩镇痛及导乐分娩 8 个临床常规变量建立的初产妇 CDaI 预测模型效果较好.

Objective:To establish a prediction model for cesarean delivery after induction(CDaI)in primiparous women based on real-world clinical data.Methods:A total of 3 069 primiparous women with full-term pregnancies who underwent induction of labor at Songjiang Maternal and Child Health Hospital in Shanghai from March 1,2020 to December 31,2023 were selected and divided into the CDaI group(n=970)and the vaginal delivery(VD)group(n=2 099)based on the mode of delivery.The clinical and pathological characteristics of the two groups were compared.Logistic regression and LASSO regression models were used to screen the predictive factors.The predictive ability of the model was evaluated using the receiver operating characteristic(ROC)curve,and the goodness-of-fit of the model was tested using the Hosmer-Lemeshow goodness-of-fit test.Results:The CDaI group had significantly higher age,gestational age at delivery,pre-pregnancy body mass index(BMI),gestational weight gain,oxytocin dosage,proportion of pregnancies achieved through assisted reproductive technology(ART),and incidence of hypertensive disorders of pregnancy(HDP)compared with the VD group(all P<0.05),but the proportion of epidural labor analgesia and doula-assisted delivery in the CDaI group was significantly lower than that in the VD group(both P<0.05).Logistic regression analysis showed that age,gestational age at delivery,pre-pregnancy BMI,gestational weight gain,induction method,oxytocin dosage,epidural labor analgesia,and doula-assisted delivery were independent influencing factors for CDaI in primiparous women.The AUC of the prediction model in the training set and validation set were 0.83 and 0.82,respectively.The Hosmer-Lemeshow goodness-of-fit test showed that the model had a good fit(P=0.62,0.38).The AUC of the prediction model constructed using the 8 variables selected by LASSO regression was 0.82.Conclusion:A prediction model for CDaI in primiparous women based on 8 clinical routine variables,including age,gestational age at delivery,pre-pregnancy BMI,gestational weight gain,induction method,oxytocin dosage,epidural labor analgesia and doula-assisted delivery,was established and exhibited good performance.

孙婷;张辉;陈逍天;滕安毅;张扬杨;林适;李燕;谢春芝

上海市松江区妇幼保健院妇产科,上海 201620上海市松江区妇幼保健院妇产科,上海 201620复旦大学附属儿科医院临床流行病学研究室,上海 201102上海市松江区妇幼保健院妇产科,上海 201620上海市松江区妇幼保健院妇产科,上海 201620上海市松江区妇幼保健院妇产科,上海 201620上海市松江区妇幼保健院妇产科,上海 201620上海市松江区妇幼保健院妇产科,上海 201620

医药卫生

引产后中转剖宫产阴道分娩预测模型初产妇辅助生殖技术妊娠期高血压疾病

cesarean delivery after inductionvaginal deliveryprediction modelprimiparasassisted reproductive technologyhypertensive disorders of pregnancy

《江苏大学学报(医学版)》 2026 (3)

266-270,276,6

上海市卫生健康委员会科研项目面上项目(202140483)

10.13312/j.issn.1671-7783.y250116

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