基于盆底超声参数构建剖宫产后盆底功能障碍的风险预测模型OA
Construction of a risk prediction model for postpartum pelvic floor dysfunction based on pelvic floor ultrasound parameters
目的 探讨基于盆底超声参数构建风险预测模型对剖宫产后盆底功能障碍(PFD)的预测价值.方法 选取2022年3月—2024年3月行剖宫产的300例产妇,根据产后12个月是否发生PFD分为PFD组和非PFD组.观察产妇行剖宫产后PFD发生情况,比较两组一般资料、生化指标[血清松弛素、胰岛素样生长因子-1(IGF-1)]、盆底超声参数,采用多因素Logistic回归分析剖宫产后发生PFD的独立影响因素,据此构建风险预测模型,并采用受试者工作特征(ROC)曲线、校准曲线评价该模型的预测价值.结果 最终完成12个月随访的296例产妇中有51例发生PFD(均为压力性尿失禁),发生率为17.23%(51/296).血清松弛素、血清IGF-1、妊娠期漏尿症状、膀胱颈移动度、妊娠期便秘、产后规律盆底肌训练、膀胱颈漏斗形成均为剖宫产后发生PFD的独立影响因素(P<0.05).ROC曲线分析显示,血清松弛素、血清IGF-1、膀胱颈移动度预测剖宫产后发生PFD的曲线下面积(AUC)分别为0.768、0.757、0.771(P<0.05),根据上述影响因素所构建的风险预测模型的AUC为0.892(95%CI:0.849,0.936);校准曲线分析显示,该模型校准度较高,且预测值与实际值的一致性及拟合度较高.结论 妊娠期便秘、妊娠期漏尿症状、血清松弛素、膀胱颈移动度、膀胱颈漏斗形成、产后规律盆底肌训练、血清IGF-1均为剖宫产后发生PFD的独立影响因素,据此建立风险预测模型的区分度、准确性较高,且具有良好的预测性能.
Objective To investigate the predictive value of a risk prediction model constructed based on pelvic floor ultrasound parameters for postoperative pelvic floor dysfunction(PFD)after cesarean section.Methods A total of 300 parturients who underwent cesarean section from March 2022 to March 2024 were selected.They were divided into the PFD group and the non-PFD group based on whether PFD occurred at 12 months after delivery.The occurrence of PFD after cesarean section was observed,and the general data,biochemical indicators[serum relaxin,insulin-like growth factor-1(IGF-1)],and pelvic floor ultrasound parameters of the two groups were compared.Multivariate logistic regression analysis was used to analyze the independent influencing factors of PFD after cesarean section.Based on this,a risk prediction model was constructed,and the predictive value of the model was evaluated using the receiver operating characteristic(ROC)curve and calibration curve.Results Among the 296 parturients who completed the 12-month follow-up,51 patients developed PFD(all presenting as stress urinary incontinence),with an incidence rate of 17.23%(51/296).Serum relaxin,serum IGF-1,urinary leakage symptoms during pregnancy,bladder neck mobility,pregnancy-induced constipation,regular pelvic floor muscle training after delivery,and bladder neck funnel formation were all independent influencing factors for PFD after cesarean section(P<0.05).ROC curve analysis showed that the areas under the curve(AUC)for serum relaxin,serum IGF-1,and bladder neck mobility in predicting PFD after cesarean section were 0.768,0.757,and 0.771,respectively(P<0.05),and that the AUC of the risk prediction model constructed based on the above influencing factors was 0.892(95%CI:0.849,0.936);calibration curve analysis showed that the model had a high calibration accuracy,and demonstrated good consistency and goodness-of-fit between the predicted values and the observed values.Conclusion Constipation during pregnancy,urinary leakage symptoms during pregnancy,serum relaxin,bladder neck mobility,bladder neck funnel formation,regular pelvic floor muscle training after delivery,and serum IGF-1 are all independent influencing factors for the occurrence of PFD after cesarean section.Based on these factors,a risk prediction model has been established,which has high discrimination and accuracy,and possesses good predictive performance.
魏巍;孙丽华
唐山市妇幼保健院超声科,河北 唐山 063000唐山市妇幼保健院超声科,河北 唐山 063000
剖宫产盆底功能障碍盆底超声松弛素胰岛素样生长因子-1预测模型
cesarean sectionpelvic floor dysfunctionpelvic floor ultrasoundrelaxininsulin-like growth factor-1prediction model
《临床误诊误治》 2026 (9)
40-46,7
河北省2021年度医学科学研究课题计划(20211407)
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