Prevalence and Risk Factors of Artificial Urinary Sphincter Revision in Nonneurological Male Patients
Purpose:The main objective of this study was to assess the prevalence and risk factors of male artificial urinary sphincter (AUS) mechanical failures and nonmechanical failures.Materials and Methods:The charts of all male patients who underwent AUS implantation between 2004 and 2020 in 16 centers we...
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Published in | The Journal of urology Vol. 206; no. 5; pp. 1248 - 1257 |
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Main Authors | , , , , , , , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
Philadelphia, PA
Wolters Kluwer
01.11.2021
Elsevier |
Subjects | |
Online Access | Get full text |
ISSN | 0022-5347 1527-3792 1527-3792 |
DOI | 10.1097/JU.0000000000001954 |
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Summary: | Purpose:The main objective of this study was to assess the prevalence and risk factors of male artificial urinary sphincter (AUS) mechanical failures and nonmechanical failures.Materials and Methods:The charts of all male patients who underwent AUS implantation between 2004 and 2020 in 16 centers were retrospectively reviewed. Patients with neurogenic stress urinary incontinence (SUI) were excluded as well as revisions/explantations due to infections and/or erosions. The causes of revision were divided into mechanical failures (fluid loss or malfunction from any components of the AUS), nonmechanical failures (urethral atrophy, recurrence/persistence of SUI despite normally functioning device) and other (pump malposition, balloon herniation, hematoma, pain). Failure-free survival analysis was performed both for general and specific causes of revision. Predictors of mechanical and nonmechanical failures were determined by Cox proportional hazards model.Results:A total of 1,020 patients met the inclusion criteria. After a median followup of 20 months, the estimated 5-year and 10-year overall revision-free survival was 60% and 40%, respectively. There were 214 AUS revisions: 59 (27.6%) for mechanical failures, 121 (56.5%) for nonmechanical failures and 34 (15.9%) other causes of revision. In multivariable Cox regression analysis, larger cuff size was the only predictor of overall revisions (HR=1.04 [1.01-1.07]; p=0.01) and revision for nonmechanical failure (HR=1.05 [1.02-1.09]; p=0.004).Conclusions:Half of the male AUS patients underwent device revision within the first 10 years after implantation. Nonmechanical failures are the primary cause of AUS revision in nonneurological men. Larger cuff size appears to be the main determinant of AUS revision risk. |
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Bibliography: | Correspondence: Urology Department, University Hospital of Nice, 30 voie romaine 06000 Nice, France (telephone: +33651818551; email: imad.bentellis@gmail.com).Conflicts of interest: Benoit Peyronnet, Jean Nicolas Cornu, Xavier Gamé, Franck Bruyère, Gregoire Capon, Xavier Biardeau, Jean Francois Hermieu are consultants for Boston Scientific. Other authors have no conflicts of interest.Compliance with ethical standards: This research involved human participants (IRB No. CNIL2216559). Informed consent from all participants was obtained.Author contributions: Imad BENTELLIS Protocol/project development, data collection or management, Data analysis, Manuscript writing/editing. Mehdi EL-AKRI Protocol/project development, data collection or management. Thibault TRICARD data collection or management. Thibaut BRIERRE data collection or management. Tiffany COUSIN data collection or management. Hugo DUPUIS data collection or management. Nicolas HERMIEU data collection or management. Baptiste POUSSOT data collection or management. Alice PITOUT data collection or management. Priscilla BERTRAND-LEON data collection or management. Daniel CHEVALLIER data collection or management, data collection or management. Franck BRUYERE data collection or management, data collection or management. Christian SAUSSINE data collection or management, data collection or management. Jean Francois HERMIEU data collection or management, data collection or management. Pierre LECOANET data collection or management, data collection or management. Gregoire CAPON data collection or management, data collection or management. Jean-Nicolas CORNU data collection or management, data collection or management. Xavier GAME data collection or management, data collection or management. Matthieu DURAND Data analysis, Manuscript writing/editing. Benoit PEYRONNET Protocol/project development, Data analysis, Manuscript writing/editing. ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 0022-5347 1527-3792 1527-3792 |
DOI: | 10.1097/JU.0000000000001954 |