Skip to main content
Duke University Libraries
DukeSpace Scholarship by Duke Authors
  • Login
  • Ask
  • Menu
  • Login
  • Ask a Librarian
  • Search & Find
  • Using the Library
  • Research Support
  • Course Support
  • Libraries
  • About
View Item 
  •   DukeSpace
  • Duke Scholarly Works
  • Scholarly Articles
  • View Item
  •   DukeSpace
  • Duke Scholarly Works
  • Scholarly Articles
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

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

Thumbnail
View / Download
1012.1 Kb
Date
2021-12-02
Authors
Hendrickson, Whitney K
Xie, Gongbo
Rahn, David D
Amundsen, Cindy L
Hokanson, James A
Bradley, Megan
Smith, Ariana L
Sung, Vivian W
Visco, Anthony G
Luo, Sheng
Jelovsek, J Eric
Show More
(11 total)
Repository Usage Stats
11
views
10
downloads
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.
Type
Journal article
Subject
ABC
BoNT-A
ROSETTA
UUI
botox
prediction model
urgency urinary incontinence
Permalink
https://hdl.handle.net/10161/24154
Published Version (Please cite this version)
10.1002/nau.24845
Publication 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.
Collections
  • Scholarly Articles
More Info
Show full item record

Scholars@Duke

Amundsen

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
Jelovsek

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
Luo

Sheng Luo

Professor of Biostatistics & Bioinformatics
Visco

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.
Alphabetical list of authors with Scholars@Duke profiles.
Open Access

Articles written by Duke faculty are made available through the campus open access policy. For more information see: Duke Open Access Policy

Rights for Collection: Scholarly Articles


Works are deposited here by their authors, and represent their research and opinions, not that of Duke University. Some materials and descriptions may include offensive content. More info

Make Your Work Available Here

How to Deposit

Browse

All of DukeSpaceCommunities & CollectionsAuthorsTitlesTypesBy Issue DateDepartmentsAffiliations of Duke Author(s)SubjectsBy Submit DateThis CollectionAuthorsTitlesTypesBy Issue DateDepartmentsAffiliations of Duke Author(s)SubjectsBy Submit Date

My Account

LoginRegister

Statistics

View Usage Statistics
Duke University Libraries

Contact Us

411 Chapel Drive
Durham, NC 27708
(919) 660-5870
Perkins Library Service Desk

Digital Repositories at Duke

  • Report a problem with the repositories
  • About digital repositories at Duke
  • Accessibility Policy
  • Deaccession and DMCA Takedown Policy

TwitterFacebookYouTubeFlickrInstagramBlogs

Sign Up for Our Newsletter
  • Re-use & Attribution / Privacy
  • Harmful Language Statement
  • Support the Libraries
Duke University