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产后压力尿失禁预测模型的开发和验证:单中心前性研究中的因素和评估

Yichen Chen¹, Jue Zhu², Qingqing Yang³

¹Department of Basic Research Laboratory, Women and Children's Hospital of Ningbo University, Zhejiang, China.

International urogynecology journal

|October 9, 2025

概括

一个预测模型准确地确定产后压力尿失禁 (SUI) 风险. 诸如分娩次数,分娩方式和年龄等因素,以及骨盆地评估,为这种常见疾病进行个性化查提供信息.

科学领域:

产科和妇科产科和妇科
泌尿器科泌尿器科泌尿器科泌尿器科
盆地地板物理治疗物理治疗

背景情况:

压力尿失禁 (SUI) 影响了分娩后妇女的很大一部分.
识别风险因素和开发预测工具对于管理产后SUI至关重要.

研究的目的:

为了确定产后SUI的发生率.
为了确定与SUI相关的风险因素.
建立产后SUI的预测模型.

主要方法:

对521名产后妇女进行前性研究.
数据收集包括临床信息,盆地肌肉强度,格莱泽分数和跨膜超声波 (TPUS).
产后1年的随访以评估SUI发生率;各种分类模型 (CatBoost,RF,SVM,KNN) 用于预测.

主要成果:

产后SUI的发生率为15.93% (83/521).
确定的主要风险因素是分娩次数,分娩方式和母亲年龄.
在SUI预测中,CatBoost模型表现出高精度 (0.822),精度 (0.836) 和回忆 (0.822).

结论:

一个经过验证的SUI预测模型可以帮助风险管理.
结合年龄,怀孕数和盆地评估等因素,可以进行个性化查.
该模型支持针对产后SUI的量身定制的管理策略.

关键词:

在 CatBoost 中使用 CatBoost.在分娩后的分娩.预测模型的预测模型.风险因素风险因素苏伊 (SUI) 是一个很好的选择.

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