Predicting outcomes after intradetrusor onabotulinumtoxina for non-neurogenic urgency incontinence in women.
Abstract
<h4>Aims</h4>Develop models to predict outcomes after intradetrusor injection of 100
or 200 units of onabotulinumtoxinA in women with non-neurogenic urgency urinary incontinence
(UUI).<h4>Methods</h4>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
bootstrapping.<h4>Results</h4>Median time to recurrence was 6 (interquartile range
[IQR]: 2-12) months. Increasing age, 200 units of onabotulinumtoxinA, higher body
mass index (BMI) and baseline UUIE were associated with decreased time to recurrence.
The c-index was 0.63 (95% confidence interval [CI]: 0.59, 0.67). Median change in
daily UUIE from baseline at 6 months was -3.5 (IQR: -5.0, -2.3). Increasing age, lower
baseline UUIE, 200 units of onabotulinumtoxinA, higher BMI and IIQ-SF were associated
with less improvement in UUIE. The mean absolute error predicting change in UUIE was
accurate to 1.6 (95% CI: 1.5, 1.7) UUI episodes. The overall rate of self-catheterization
was 17.6% (95% CI: 13.6%-22.4%). Lower BMI, 200 units of onabotulinumtoxinA, increased
baseline postvoid residual and maximum capacity were associated with higher risk of
self-catheterization. The c-index was 0.66 (95% CI: 0.61, 0.76). The three calculators
are available at http://riskcalc.duke.edu.<h4>Conclusions</h4>After external validation,
these models will assist clinicians in providing more accurate estimates of expected
treatment outcomes after onabotulinumtoxinA for non-neurogenic UUI in women.
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https://hdl.handle.net/10161/24154Published Version (Please cite this version)
10.1002/nau.24845Publication Info
Hendrickson, Whitney K; Xie, Gongbo; Rahn, David D; Amundsen, Cindy L; Hokanson, James
A; Bradley, Megan; ... Jelovsek, J Eric (2021). Predicting outcomes after intradetrusor onabotulinumtoxina for non-neurogenic urgency
incontinence in women. Neurourology and urodynamics. 10.1002/nau.24845. Retrieved from https://hdl.handle.net/10161/24154.This is constructed from limited available data and may be imprecise. To cite this
article, please review & use the official citation provided by the journal.
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Show full item recordScholars@Duke
Cindy Louise Amundsen
Roy T. Parker, M.D. Distinguished Professor of Obstetrics and Gynecology, in the School
of Medicine
- Application of nerve stimulation (Interstim therapy) for control of continence -
Evaluation of botox therapy for urinary urge incontinence - Evaluation and treatment
for nocturnal voiding - Application of nerve stimulation for control of continence
and enable proper voiding in individuals with Spinal cord injuries - Application of
nerve stimulation for urinary retention - Minimally invasive prolapse surgery using
graft material for enhancing pelvic organ prolapse
John E Jelovsek
Professor of Obstetrics and Gynecology
Dr. Jelovsek is the Vice Chair of Education and the Director of Data Science for Women’s
Health in Department of Obstetrics & Gynecology (OBGYN) at Duke University. He is
Board Certified in OBGYN by the American Board of OBGYN and Board Certified in Female
Pelvic Medicine & Reconstructive Surgery by the American Board of OBGYN and American
Board of Urology. He currently practices Female Pelvic Medicine and Reconstructive
Surgery (FPMRS). He has expertise in the development and v
Sheng Luo
Professor of Biostatistics & Bioinformatics
Anthony Gabriele Visco
Professor of Obstetrics and Gynecology
Robotic sacrocolpopexy, robotic hysterectomy, outcomes for surgical and non-surgical
treatments of urinary incontinence and pelvic organ prolapse, robotic surgery, mesh
erosion, Botox therapy for urge incontinence, innovation and entrepreneurship.
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