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Dataset Information

Predicting outcomes after intradetrusor onabotulinumtoxina for non-neurogenic urgency incontinence in women.


ABSTRACT:

Aims

Develop models to predict outcomes after intradetrusor injection of 100 or 200 units of onabotulinumtoxinA in women with non-neurogenic urgency urinary incontinence (UUI).

Methods

Models were developed using 307 women from two randomized trials assessing efficacy of onabotulinumtoxinA for non-neurogenic UUI. Cox, linear and logistic regression models were fit using: (1) time to recurrence over 12 months, (2) change from baseline daily UUI episodes (UUIE) at 6 months, and (3) need for self-catheterization over 6 months. Model discrimination of Cox and logistic regression models was calculated using c-index. Mean absolute error determined accuracy of the linear model. Calibration was demonstrated using calibration curves. All models were internally validated using bootstr

SUBMITTER: Hendrickson WK 

PROVIDER: S-EPMC9014828 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature