Prediction of risk factors for postpartum stress urinary incontinence based on pelvic floor ultrasound combined with clinical information

基于盆底超声结合临床信息预测产后压力性尿失禁的风险因素

阅读:2

Abstract

OBJECTIVE: To identify the independent risk factors for postpartum stress urinary incontinence by combining pelvic floor ultrasound parameters with clinical information. METHODS: Pelvic floor examination and clinical data were collected from 152 postpartum women who underwent pelvic floor ultrasound at Yancheng Third People's Hospital between December 2023 and September 2024. Independent risk factors for postpartum stress urinary incontinence were identified using multivariate logistic regression analysis. A nomogram model was constructed using R 4.3.1 software and the rms package to evaluate the correlation between the identified factors and the disease. RESULTS: Maximal Valsalva state posterior urethrovesical angle (RVA), bladder neck descent, and Young's modulus of the resting posterior lip of the urethral sphincter were identified as independent risk factors for postpartum stress urinary incontinence (p < 0.05). The areas under the receiver operating characteristic curve for RVA, bladder neck descent, and posterior lip of the urethral sphincter were 0.840, 0.867, and 0.914, respectively, indicating high diagnostic efficiency. The nomogram model demonstrated that the risk of developing stress urinary incontinence increased with higher RVA and bladder neck descent values and lower posterior lip of the urethral sphincter values, with posterior lip of the urethral sphincter showing the strongest correlation with the disease. CONCLUSION: RVA (Valsalva), bladder neck descent, and posterior lip of the urethral sphincter are independent risk factors for postpartum stress urinary incontinence. The nomogram model based on these factors demonstrated high diagnostic performance (area under the curve = 0.984), suggesting potential utility for clinical application. However, this model is preliminary and requires validation in larger, multicenter cohorts before widespread use.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。