Analysis of risk factors for diabetic overactive bladder and construction of a prediction model based on nomogram
10.3969/j.issn.1006-6187.2024.11.001
- VernacularTitle:2型糖尿病膀胱过度活动症的危险因素分析及列线图预测模型构建的研究
- Author:
Dan LI
1
;
Siying HU
;
Yujie XU
;
Mingwei CHEN
Author Information
1. 230000 合肥,安徽医科大学第一附属医院内分泌科
- Keywords:
Diabetic bladder dysfunction;
Overactive bladder;
Nomogram;
Clinical prediction model
- From:
Chinese Journal of Diabetes
2024;32(11):801-806
- CountryChina
- Language:Chinese
-
Abstract:
Objective To establish a risk prediction model for type 2 diabetes mellitus(T2DM)related overactive bladder(OAB),and to verify the diagnostic efficacy and clinical application value of the model.Methods The clinical data of 298 patients with diabetes who underwent urodynamic examination in The First Affiliated Hospital of Wannan Medical College from January 2020 to October 2023 were analyzed retrospectively.According to the results of urodynamics,all the patients were divided into T2DM group(T2DM,n=218)and OAB group(OAB,n=80).The risk factors of OAB were analyzed by logistic regression,and the prediction model was established according to the risk factors.Receiver operating characteristic(ROC)curve,calibration diagram and decision curve analysis(DCA)were used to analyze and evaluate the diagnostic efficiency of the model.Results Logistic regression analysis results showed that age,DM duration,BMI,HbA1c,DPN and OAB score(OABSS),were independent predictors for OAB.The nomogram model built based on the above risk factors had good predictive ability,and its area under ROC curve was 0.937.The correction curve showed that the predicted probability of OAB in patients with type 2 diabetes mellitus was basically parallel to the actual probability of urodynamic detection.The results of DCA show that the model has high clinical value.Conclusions The nomogram model built by age,DM duration,OABSS,BMI,HbA1c,DPN has high predictive efficacy for OAB in patients with T2DM.
