Development and Validation of a Predictive Model for Postpartum Stress Urinary Incontinence: Factors and Assessment...

Area of Science:

• Obstetrics and Gynecology
• Urology
• Pelvic Floor Physical Therapy

Background:

• Stress urinary incontinence (SUI) affects a significant portion of postpartum women.
• Identifying risk factors and developing predictive tools are crucial for managing postpartum SUI.

Purpose of the Study:

• To determine the incidence of postpartum SUI.
• To identify risk factors associated with SUI.
• To establish a predictive model for postpartum SUI.

Main Methods:

• Prospective study of 521 postpartum women.
• Data collection included clinical info, pelvic floor muscle strength, Glazer scores, and transperineal ultrasound (TPUS).
• Follow-up at 1 year postpartum to assess SUI incidence; various classification models (CatBoost, RF, SVM, KNN) were used for prediction.

Main Results:

• The incidence of postpartum SUI was 15.93% (83/521).
• Key risk factors identified were number of deliveries, mode of delivery, and maternal age.
• CatBoost model demonstrated high accuracy (0.822), precision (0.836), and recall (0.822) in SUI prediction.

Conclusions:

• A validated SUI prediction model can aid in risk management.
• Integrating factors like age, pregnancy count, and pelvic floor assessments enables personalized screening.
• The model supports tailored management strategies for postpartum SUI.