| 蒋艳丽,黄芝圃.阴道分娩后尿潴留风险预测模型的构建.[J].中南医学科学杂志.,2021,(6):680-682. |
| 阴道分娩后尿潴留风险预测模型的构建 |
| Establishment of the risk prediction model of urinary retention after vaginal delivery |
| 投稿时间：2021-01-30 修订日期：2021-04-12 |
| DOI：10.15972/j.cnki.43-1509/r.2021.06.015 |
| 中文关键词: 阴道分娩 产后尿潴留 风险预测 |
| 英文关键词:vaginal delivery postpartum urinary retention risk prediction |
| 基金项目:陕西省重点研发计划(2019SF-031) 作者简介:蒋艳丽,主管护师,研究方向为产后管理,E-mail为vme6ww@163.com。通信作者黄芝圃,主管护师,研究方向为产后管理,E-mail为1658693620@qq.com。 |
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| 中文摘要: |
| 目的构建阴道分娩后尿潴留(PUR)的风险预测模型。方法选取阴道分娩的785例产妇,收集产妇相关临床资料,根据产后有无发生PUR将所有病例分为PUR组和对照组。采用Logistic回归分析模型构建其风险预测模型,并通过受试者工作特征(ROC)曲线下面积来检验模型预测效果。结果构建的阴道分娩后尿潴留的风险预测模型共纳入了分娩镇痛、会阴侧切、产钳助产、第二产程时间＞60 min、巨大儿5个相关因素。该模型ROC曲线下面积为0.931,最佳临界值为0.683,灵敏度为0.881,特异度为0.801。结论本预测模型预测效果较好,在临床应用时可为临床预测PUR的发生提供客观参考。 |
| 英文摘要: |
| To establish the risk model of prediction urinary retention (PUR) after vaginal delivery.Methods785 parturients were selected. The clinical data of parturients were collected. All cases were divided into PUR group and control group according to whether there was PUR after delivery. Logistic regression analysis model was used to develop the risk prediction model, and the prediction effect was tested by the area under receiver operating characteristic (ROC) curve. ResultsThe risk prediction models for urinary retention after vaginal delivery were included in 5 factors, including labor analgesia, lateral episiotomy, forceps delivery, second stage of labor ＞60 min and macrosomia.The area under the ROC curve of the model was 0.931, the optimal critical value was 0.683, the sensitivity was 0.881, and the specificity was 0.801. ConclusionThis prediction model has a good prediction effect and can provide objective reference for clinical prediction of PUR. |
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