J Ultrasound Med. 2025 Nov 10. doi: 10.1002/jum.70107. Online ahead of print.
ABSTRACT
OBJECTIVES: Based on pelvic floor ultrasound and Glazer pelvic floor surface electromyography parameters in postpartum patients with stress urinary incontinence (SUI), this study aims to establish a model and explore its clinical value in predicting the disease.
METHODS: A total of 193 postpartum women admitted to our hospital were enrolled and divided into the SUI group (67 cases) and non-SUI group (126 cases) according to the occurrence of SUI at 6-8 weeks postpartum. The recruitment period is from May 2023 to May 2025. This study has been approved by the Ethics Review Committee of our institute (Approval No: 2025-33). All subjects are patients attending our department (all patients provide verbal consent, witnessed by outpatient medical records). Clinical data, 3-dimensional pelvic floor ultrasound parameters, and Glazer pelvic floor sEMG parameters were collected from both groups. Univariate and multivariate analyses were performed to screen independent factors, based on which a nomogram model was established. Receiver operating characteristic (ROC) curves and clinical decision curves were plotted.
RESULTS: Significant differences were observed between the 2 groups in neonatal body weight, maternal weight at follow-up, bladder neck mobility (BNM), urethral rotation angle (URA), posterior vesicourethral angle (PVA), levator hiatus area (LHA), pelvic floor fast contraction force, tonic contraction force, and endurance (all p < .05). Multivariate analysis identified URA, PVA, pelvic floor fast contraction force, tonic contraction force, and endurance as independent risk factors for SUI. The ROC curve showed an area under the curve (AUC) of 0.838. The decision curve indicated that the net benefit curve was higher than both the “All” line and the “None” line.
CONCLUSION: The established model demonstrates high predictive value for postpartum SUI. The combination of pelvic floor ultrasound and Glazer pelvic floor electromyography can improve the diagnostic accuracy of SUI.
PMID:41211743 | DOI:10.1002/jum.70107
