Development and Validation of A Male Anterior Urethral Stricture Classification System

• Published in: Urology (Ridgewood, N.J.) Vol. 143; pp. 241 - 247
• Main Authors: Erickson, Bradley A., Flynn, Kevin J., Hahn, Amy E., Cotter, Katherine, Alsikafi, Nejd F., Breyer, Benjamin N., Broghammer, Joshua A., Buckley, Jill C., Elliott, Sean P., Myers, Jeremy B., Peterson, Andrew C., Rourke, Keith F., Smith, Thomas G., Vanni, Alex J., Voelzke, Bryan B., Zhao, Lee C.
• Format: Journal Article
• Language: English
• Published: United States Elsevier Inc 01.09.2020
• Subjects: Humans; Male; Medical History Taking; Observer Variation; Reproducibility of Results; Retrospective Studies; Urethral Stricture - classification; Urethral Stricture - diagnostic imaging; Urethral Stricture - etiology; Urethral Stricture - pathology
• ISSN: 0090-4295; 1527-9995
• DOI: 10.1016/j.urology.2020.03.072

To develop and validate a clinical classification system for urethral stricture disease (USD) based on the retrograde urethrogram (RUG), physical exam, and stricture-specific patient history. Three elements were chosen to be included in the classification system: 1) Length of urethral stricture (L); 2) Stricture segment/location (S); 3) Stricture Etiology (E) (LSE classification system). Each element was divided into clinically relevant sub-categories. A three-step development and validation process then ensued, culminating in an in-person Trauma and Urologic Reconstruction Network of Surgeons (TURNS) meeting, at which the final classification system was unanimously agreed upon by attendees based on interrater reliability data obtained from the classifying of 22 clinical vignettes. A final validation step involved retrospectively classifying cases in the TURNS database to determine if classification influenced surgical technique and was associated with presumed stricture etiology. The final LSE classification system was found to have an interrater reliability of 0.79 (individual components 0.76, 0.70 and 0.93 respectfully). Retrospective classification of the 2162 TURNS strictures revealed the segment (S) to be strongly associated with urethroplasty type (p = 0.0005) and stricture etiology (E) (p = 0.0005). We developed and validated a novel, easy to use, urethral stricture classification system. The system's ability to aid in directing treatments, predict treatment outcomes, and facilitate collaborative research efforts will require further study.