Résumé
Objective@#To investigate the feasibility and accuracy of transperineal real-time three-dimensional ultrasound combined with clinical factors in predicting the risk of female stress urinary incontinence(SUI).@*Methods@#Three hundred and forty-eight female patients with SUI diagnosed were selected as the case group, and 102 healthy people in the same period were selected as the control group. All subjects underwent transperineal real-time three-dimensional ultrasound. The ultrasonic parameters of resting state, contraction and Valsalva were measured, and the clinical parameters such as age, height, weight, history of pregnancy and childbirth were collected. According to the time sequence, all the subjcets were divided into derivation cohort and verification cohort inproportion to 2∶1, single factor screening and logistic multiple regression analysis were carried out on 24 factors, and the risk model was established. The cut-off value of the disease probability P was determined by the ROC curve of the subjects, and then the accuracy of the cut-off value in predicting SUI was verified in the verification group.@*Results@#Single factor analysis showed that 13 parameters were associated with SUI(all P<0.05). Logit P=2.014+ 1.870×Z1 was established by multivariate logistic regression analysis. The cut-off value of the disease probability P determined by ROC curve was 0.823. The predictive sensitivity of the model was 68.1% (95%CI: 59.6%-76.6%), specificity was 91.2% (95%CI: 86.0%-96.4%), positive predictive value was 64.3% (95%CI: 55.6%-73.0%) and negative predictive value was 92.5% (95%CI: 86.2%-98.8%).@*Conclusions@#It is feasible to predict the risk of female stress urinary incontinence by transperineal real-time three-dimensional ultrasound combined with clinical factors. Although, some limitations with the prediction model, it has accuracy in predicting SUI with obvious symptoms.
Résumé
Objective To investigate the feasibility and accuracy of transperineal real‐time three‐dimensional ultrasound combined with clinical factors in predicting the risk of female stress urinary incontinence( SUI ) . Methods T hree hundred and forty‐eight female patients with SUI diagnosed were selected as the case group ,and 102 healthy people in the same period were selected as the control group . All subjects underwent transperineal real‐time three‐dimensional ultrasound . T he ultrasonic parameters of resting state ,contraction and Valsalva were measured ,and the clinical parameters such as age ,height , weight ,history of pregnancy and childbirth were collected . According to the time sequence ,all the subjcets were divided into derivation cohort and verification cohort inproportion to 2∶1 ,single factor screening and logistic multiple regression analysis were carried out on 24 factors ,and the risk model was established . T he cut‐off value of the disease probability P was determined by the ROC curve of the subjects ,and then the accuracy of the cut‐off value in predicting SUI was verified in the verification group . Results Single factor analysis showed that 13 parameters were associated with SUI( all P ＜0 .05) . Logit P＝2 .014+1 .870× Z1 was established by multivariate logistic regression analysis . T he cut‐off value of the disease probability P determined by ROC curve was 0 .823 . T he predictive sensitivity of the model was 68 .1% ( 95% CI : 59 .6% －76 .6% ) ,specificity was 91 .2% ( 95% CI :86 .0% －96 .4% ) ,positive predictive value was 64 .3%( 95% CI : 55 .6% － 73 .0% ) and negative predictive value was 92 .5% ( 95% CI : 86 .2% － 98 .8% ) . Conclusions It is feasible to predict the risk of female stress urinary incontinence by transperineal real‐time three‐dimensional ultrasound combined with clinical factors . Although ,some limitations with the prediction model ,it has accuracy in predicting SUI with obvious symptoms .