Development of a predictive model for urgency urinary incontinence

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• 作者：Amanda Darekar^a ; ^{Amanda.Darekar@pfizer.com" class="auth_mail" title="E-mail the corresponding author} ; Martin Carlsson^b ; Sheila Quinn^c ; Fady Ntanios^d ; Erin Mangan^e ; Daniel Arumi^f ; David Scholfield^g
• 关键词：AM ; antimuscarinic ; BMI ; body mass index ; BPH ; benign prostatic hyperplasia ; CART ; classification and regression trees ; DB ; double-blind ; ER ; extended release ; HRQL ; health-related quality of life ; LS ; least squares ; MARS ; multivariate adaptive regression splines ; OAB ; overactive bladder ; OAB-q ; Overactive Bladder Questionnaire ; OL ; open-label ; PPBC ; Patient Perception of Bladder Condition ; USS ; Urinary Sensation Scale ; UUI ; urgency urinary incontinence
• 刊名：Contemporary Clinical Trials
• 出版年：2016
• 出版时间：November 2016
• 年：2016
• 卷：51
• 期：Complete
• 页码：44-49
• 全文大小：604 K

文摘

The ability to set realistic expectations of treatment response in patients with overactive bladder (OAB) can have an impact on patient engagement and adherence to study medication. In order to help set treatment expectations for OAB, a Physician Predictive Tool has been developed based on predictive modelling. Models have been developed utilizing data from eight Phase 3 and 4 fesoterodine clinical trials and these models enable the prediction of individual treatment response in subjects with OAB, based on various baseline characteristics. The data utilized and covariates that were hypothesized to influence treatment response are described. The model selection and development process are also outlined, and the final model and some example results utilizing this model are presented. Finally, we discuss the potential benefits and limitations of such a predictive tool.