Xiao Ting, Cao Yunqing, Zhen Chaojiong, Chen Ziman, Huang Weijun, Su Zhongzhen
Department of Ultrasound, Fifth Affiliated Hospital of Sun Yat-Sen University, Zhuhai, China.
Department of Ultrasound, The First People's Hospital of Foshan, Foshan, China.
J Ultrasound Med. 2023 Nov;42(11):2591-2601. doi: 10.1002/jum.16295. Epub 2023 Jun 21.
We aimed to develop and validate a nomogram integrating clinical and sonographic characteristics for the individualized SUI risk evaluation in the early postpartum stage.
This 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.
The 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.
The 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.
我们旨在开发并验证一种整合临床和超声特征的列线图,用于产后早期个体化压力性尿失禁(SUI)风险评估。
这是一项前瞻性横断面研究。2020年6月至2022年9月,招募产后6 - 8周接受经阴道超声(TPUS)检查的单胎初产妇。根据时间划分,按8:2的比例将她们分为训练组和验证组。所有受试者在TPUS检查前接受访谈。进行单因素和多因素逻辑分析以建立三个模型:临床模型、超声模型和联合模型。绘制ROC曲线以评估模型的辨别能力。最后,选择联合模型建立列线图。在训练组和验证组中评估列线图的辨别能力、校准度和临床实用性。
联合模型的表现优于临床模型和超声模型。联合模型中保留了六个预测因素(体重指数、分娩方式、会阴侧切、孕期SUI、膀胱膨出和膀胱颈漏斗形成)。基于联合模型的列线图在训练组和验证组中的辨别能力良好,AUC分别为0.848(95%CI:0.796 - 0.900)和0.872(95%CI:0.789 - 0.955),校准曲线显示在评估产后SUI方面效率良好。决策曲线分析表明该列线图具有临床实用性。
基于临床和超声特征的列线图在评估产后SUI风险方面显示出良好的效率,可成为个体SUI风险评估的便捷可靠工具。