MP03-02 URETHROPLASTY OUTCOMES VALIDATION OF THE LSE ANTERIOR URETHRAL STRICTURE CLASSIFICATION SYSTEM

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You have accessJournal of UrologyTrauma/Reconstruction/Diversion: Urethral Reconstruction (including Stricture, Diverticulum) I (MP03)1 Sep 2021MP03-02 URETHROPLASTY OUTCOMES VALIDATION OF THE LSE ANTERIOR URETHRAL STRICTURE CLASSIFICATION SYSTEM Justin Drobish, Shawn Grove, Kevin Flynn, Nejd Alsikafi, Benjamin Breyer, Joshua Broghammer, Jill Buckley, Sean Elliot, Jeremy Myers, Andrew Peterson, Keith Rourke, Thomas Smith, Alex Vanni, Brian Voelzke, Lee Zhao, and Bradley Erickson Justin DrobishJustin Drobish More articles by this author , Shawn GroveShawn Grove More articles by this author , Kevin FlynnKevin Flynn More articles by this author , Nejd AlsikafiNejd Alsikafi More articles by this author , Benjamin BreyerBenjamin Breyer More articles by this author , Joshua BroghammerJoshua Broghammer More articles by this author , Jill BuckleyJill Buckley More articles by this author , Sean ElliotSean Elliot More articles by this author , Jeremy MyersJeremy Myers More articles by this author , Andrew PetersonAndrew Peterson More articles by this author , Keith RourkeKeith Rourke More articles by this author , Thomas SmithThomas Smith More articles by this author , Alex VanniAlex Vanni More articles by this author , Brian VoelzkeBrian Voelzke More articles by this author , Lee ZhaoLee Zhao More articles by this author , and Bradley EricksonBradley Erickson More articles by this author View All Author Informationhttps://doi.org/10.1097/JU.0000000000001964.02AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail Abstract INTRODUCTION AND OBJECTIVE: The LSE anterior urethral stricture classification system has previously been validated for its interrater reliability and ability to predict urethroplasty technique. Herein, we present the longitudinal surgical outcomes data from the Trauma and Urologic Reconstruction Network of Surgeons (TURNS) with the purpose of validating the LSE for outcomes prediction by component subclassifications. METHODS: The TURNS prospective database was used to identify single-stage, non-urethrostomy anterior urethroplasties performed by nine TURNS members between 2008 and 2018. The strictures were retroactively classified using the LSE system and surgical failure was defined as the need for any secondary procedure required for recurrent stricture in the operative field. LSE variables were tested with Kaplan-Meier (KM) survival analysis, assessing for time-dependent success discrimination amongst each subclassification utilizing log-rank testing. RESULTS: A total of 2472 anterior urethroplasties were included in the study. Overall functional success rate at a median follow-up time of 65.1 months (range 7.7. to 172.5) months was 88%. Overall success rates varied significantly by L (94% (L1) to 85% (L3); p <0.001), S (range 93% (S1a) to 81% (S2a); p=0.0005)) and E (range 93% (E1) to 84% (E3c, E6); p <0.0001). KM survival curves for each LSE classification revealed significant time-dependent discrimination within the system components. (Figures 1, 2 and 3 respectively). CONCLUSIONS: Individual LSE components and subclassifications were validated for their ability to predict overall functional outcomes. Urethroplasty techniques can now be compared within individual LSE stricture subtypes with increased precision. Source of Funding: NIDDK 1R21DK115945-01 © 2021 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 206Issue Supplement 3September 2021Page: e21-e22 Advertisement Copyright & Permissions© 2021 by American Urological Association Education and Research, Inc.MetricsAuthor Information Justin Drobish More articles by this author Shawn Grove More articles by this author Kevin Flynn More articles by this author Nejd Alsikafi More articles by this author Benjamin Breyer More articles by this author Joshua Broghammer More articles by this author Jill Buckley More articles by this author Sean Elliot More articles by this author Jeremy Myers More articles by this author Andrew Peterson More articles by this author Keith Rourke More articles by this author Thomas Smith More articles by this author Alex Vanni More articles by this author Brian Voelzke More articles by this author Lee Zhao More articles by this author Bradley Erickson More articles by this author Expand All Advertisement Loading ...