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| Predictive value of pelvic floor ultrasound for urinary incontinence during pregnancy |
| LUO Dan1, YU Xia-juan2, CHEN Ling1, CHEN Xiu-lan1, CAI Wen-zhi1 |
1.Shenzhen Hospital of Southern Medical University, Shenzhen Guangdong 518101, China;
2.Department of Newborns, Shenzhen Women and Children Health Care Hospital, Shenzhen Guangdong 518000, China |
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Abstract Objective: To assess the predictive value of pelvic floor ultrasound for urinary incontinence(UI) during pregnancy. Methods: From July 2016 to January 2017, 358 pregnant women from two hospitals underwent an interview and pelvic floor transperineal ultrasound assessment. For the parameters with difference between groups by single factor analysis, ROC curve was used to analyze the predictive value, and multivariate logistic regression analysis was used to establish the joint predictive model. The predictive value of the predictive model and single parameter with area under curve(AUC)>0.7 was compared. Results: After excluding 16 women with invalid data, 342 pregnant women were included. The prevalence rate of UI during pregnancy was 39.47%. The AUC of single parameter ranged from 0.576 to 0.716, and the predictive efficiency was general. The predictive efficiency of β angle, hiatal area(HA) at rest, bladder neck vertical position(BNVP) at Valsalva maneuver(VM), bladder neck descent(BND) was poor(AUCs≥0.6, P<0.05). The AUCs of HA at VM and the difference(ΔHA) between HA at rest and HA at VM were>0.7, and the predictive efficiency was acceptable(P<0.05). The β angle and ΔHA at rest were included in the regression model by the logistic regression analysis. The ROC curve analysis showed that the AUC predicted by the model was 0.721(P>0.05). No statistical difference was found when comparing the AUCs of HA at VM, ΔHA and the combined prediction, respectively(P>0.05). Conclusions: β angle, HA at rest, BNVP, HA at VM, BND and ΔHA can be used for predicting UI during pregnancy. It is not found that pelvic floor ultrasound combined prediction is superior to single parameter prediction.
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Received: 06 September 2018
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2019, Vol. 30 
