Document Detail


Comprehensive Prediction Model of Urinary Incontinence One Year following Robot-Assisted Radical Prostatectomy.
MedLine Citation:
PMID:  23207744     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
Objectives: Urinary incontinence (UI) still remains one of the major functional complications after robot-assisted radical prostatectomy (RARP). As the cause for UI is multifactorial, it is quite difficult to make a prediction preoperatively. Considering intraoperative and postoperative risk factors, besides the preoperative ones, we designed an incontinence prediction model, administered 1 month after the surgery, in order to identify incontinent patients at 1 year. Patients and Methods: We retrospectively reviewed 244 patients who underwent RARP at our institution. Only 209 patients had sufficient data, a 1-year follow-up and were continent preoperatively. The association of UI with the risk factors was assessed by univariable and multivariable regression models. Results: There was a 17.2% global UI rate at 1 year after RARP. Only age-adjusted Charlson comorbidity index, erectile function assessed by International Index of Erectile Function-5, prostate volume, nerve-sparing status and 24-hour urine loss at 1 month correlated with UI (p = 0.032, 0.009, 0.031, 0.018 and <0.001, respectively). The accuracy of the prediction model of UI was 92.8% (c-index), with an area under the curve of 91.9%. Conclusion: Age-adjusted Charlson comorbidity index, International Index of Erectile Function-5, prostate volume, nerve-sparing status and 24-hour urine loss at 1 month after RARP can predict an individual's risk of UI at 1 year after RARP with good accuracy. Further external validation is required in order to generalize the use of this model.
Authors:
Ovidiu-Spiru Barnoiu; Francisco Baron Lopez; Emilio Garcia Galisteo; Jorge Soler Martinez; Raul Vozmediano Chicharro; Jose Maria Del Rosal Samaniego; Javier Machuca Santacruz; Pablo Navarro Vilchez; Javier Sanchez Luque; Carlos Bautista Vidal; Pablo Gomez Lechuga; Victor Baena Gonzalez
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Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2012-11-30
Journal Detail:
Title:  Urologia internationalis     Volume:  -     ISSN:  1423-0399     ISO Abbreviation:  Urol. Int.     Publication Date:  2012 Nov 
Date Detail:
Created Date:  2012-12-4     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  0417373     Medline TA:  Urol Int     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Copyright Information:
Copyright © 2012 S. Karger AG, Basel.
Affiliation:
Carlos Haya Hospital, Malaga, Spain.
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