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Published on: August 28, 2020
Development of a predictive model for urgency urinary incontinence
Amanda Darekar1, Martin Carlsson2, Sheila Quinn3
1Statistics, Pfizer Ltd., Walton Oaks, Tadworth, UK.
Setting realistic expectations for overactive bladder (OAB) treatment is crucial. A new Physician Predictive Tool uses clinical trial data to forecast individual patient response to OAB medications, improving adherence.
Area of Science:
- Urology
- Clinical Pharmacology
- Biostatistics
Background:
- Patient adherence to overactive bladder (OAB) medication is influenced by realistic treatment expectations.
- Predictive modeling can aid in establishing these expectations for OAB patients.
Purpose of the Study:
- To develop a Physician Predictive Tool for forecasting individual treatment response in OAB patients.
- To utilize baseline characteristics for predicting treatment outcomes in OAB.
Main Methods:
- Development of predictive models using data from eight Phase 3 and 4 fesoterodine clinical trials.
- Analysis of baseline characteristics and covariates hypothesized to influence treatment response.
- Model selection and development process outlined.
Main Results:
- A final predictive model was developed.
- Example results demonstrating the model's predictive capability for OAB treatment response were presented.
- The tool enables prediction of individual treatment response based on baseline data.
Conclusions:
- The Physician Predictive Tool offers a method for setting realistic treatment expectations in OAB.
- Potential benefits and limitations of the predictive tool for OAB management were discussed.
- Improved patient engagement and adherence are potential outcomes of using this tool.
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