目的: 探讨产妇产后早期盆底功能障碍性疾病(PFD)的影响因素,并基于Lasso-Logistic回归建立预测产后PFD发生风险的列线图模型。方法: 选取2023年1月至2024年7月期间顺利分娩的373名产妇为研究对象,并分为建模队列组(n=261)和验证队列组(n=112)。所有产妇于产后6~8周进行PFD筛查,并基于Lasso-Logistic回归分析筛选的产后PFD的影响因素在R 4.3.1中构建列线图模型。采用受试者工作特征(ROC)曲线、Hosmer-Lemeshow检验和校准曲线评价模型预测产后PFD发生风险的效能。决策曲线分析(DCA)评估模型的临床应用价值。结果: 建模队列组中72例发生PFD,验证队列组中34例发生PFD,373例产妇产后PFD总发生率为28.4%。与非PFD组相比,PFD组产妇平均年龄和新生儿平均体质量较高(P<0.05),且两组在PFD家族史、产次、分娩方式、会阴裂伤情况、第2产程方面比较差异有统计学意义(P<0.05)。Lasso-Logistic回归分析显示,产妇年龄、产次、分娩方式、会阴裂伤、第2产程、新生儿体质量均为产后PFD的影响因素(P<0.05)。ROC曲线分析显示,建模队列的曲线下面积(AUC)为0.827(95%CI:0.772~0.882),验证队列的AUC为0.838(95%CI:0.762~0.915)。Hosmer-Lemeshow检验中,建模队列:χ2=7.556,P=0.478;验证队列:χ2=4.680,P=0.791。DCA表明模型的临床应用价值较高。结论: 产妇年龄、产次、分娩方式、会阴裂伤、第2产程、新生儿体质量为产后PFD的影响因素,基于这6个因素建立的列线图模型预测效能较佳,有助于指导临床进行产后PFD预防。 |
Objective: To explore the influencing factors of early postpartum pelvic floor dysfunction diseases(PFD) in parturients and establish a column chart model for predicting the risk of postpartum PFD based on Lasso-Logistic regression. Methods: A total of 373 women who delivered successfully in the First Hospital of Xingtai from January 2023 to July 2024 were selected as the study objects and divided into modeling cohort group(n=261) and validation cohort group(n=112). All parturients underwent PFD screening at 6-8 weeks postpartum, and a column chart model was constructed in R4.3.1 based on the influencing factors of postpartum PFD screened by Lasso-Logistic regression analysis. Receiver operating characteristic(ROC) curve, Hosmer-Lemeshow test, and calibration curve were used to evaluate the effectiveness of the model in predicting the risk of postpartum PFD. The clinical application value of model was evaluated by decision curve analysis(DCA). Results: 72 cases of PFD occurred in the modeling cohort group, 34 cases of PFD occurred in the validation cohort group, and the total incidence of PFD in 373 postpartum women was 28.4%. Compared with the non-PFD group, the average maternal age and average neonatal body mass in the PFD group were higher(P<0.05), and there were statistically significant differences in PFD family history, delivery times, delivery mode, perineal laceration and the second stage of labor between the two groups(P<0.05). Lasso-Logistic regression analysis showed that age of parturients, delivery times, delivery mode, perineal laceration, the second stage of labor, and neonatal body mass were all influencing factors of postpartum PFD(P<0.05). ROC curve analysis showed that the area under the curve(AUC) of the modeling cohort was 0.827(95%CI:0.772-0.882), and the AUC of the validation cohort was 0.838(95%CI:0.762-0.915). In the Hosmer-Lemeshow test, the modeling cohort showed χ2=7.556, P=0.478; the validation cohort showed χ2=4.680,P=0.791. DCA showed that the model had high value in clinical application. Conclusion: The age of parturients, delivery times, delivery mode, perineal laceration, the second stage of labor, and neonatal body mass are the influencing factors for postpartum PFD. The column chart model established based on these six factors has better predictive performance and it can help guide clinical prevention of postpartum PFD. |
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