Affiliation:
1. Department of Ultrasound Fifth Affiliated Hospital of Sun Yat‐Sen University Zhuhai China
2. Department of Ultrasound The First People's Hospital of Foshan Foshan China
3. Department of Health Technology and Informatics Hong Kong Polytechnic University Kowloon Hong Kong
Abstract
ObjectivesWe aimed to develop and validate a nomogram integrating clinical and sonographic characteristics for the individualized SUI risk evaluation in the early postpartum stage.MethodsThis was a prospective cross‐sectional study. From June 2020 to September 2022, singleton primiparas who underwent TPUS examination at 6–8 weeks postpartum were recruited. They were divided into the training and validation cohorts at a ratio of 8:2 according to the temporal split. All subjects were interviewed before TPUS examination. Univariate and multivariate logistic analyses were performed to develop three models: the clinical, sonographic, and combined models. The ROC curve was plotted to evaluate model discrimination ability. Finally, the combined model was selected to establish the nomogram. The nomogram's discrimination, calibration, and clinical usefulness were evaluated in the training and validation cohorts.ResultsThe performance of the combined model was better than that of the clinical and sonographic models. Six predictors (BMI, delivery mode, lateral episiotomy, SUI during pregnancy, cystocele, and bladder neck funneling) remained in the combined model. The nomogram based on the combined model had good discrimination with AUCs of 0.848 (95% CI: 0.796–0.900) and 0.872 (95% CI: 0.789–0.955) in the training and validation cohorts, respectively, and the calibration curve showed good efficiency in assessing postpartum SUI. Decision curve analysis showed that the nomogram was clinically useful.ConclusionsThe nomogram based on clinical and sonographic characteristics showed good efficiency in assessing postpartum SUI risk and can be a convenient and reliable tool for individual SUI risk assessment.
Funder
National Natural Science Foundation of China
Subject
Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology