Patterns and Predictors of Urinary Continence Recovery After Extraperitoneal Single-Port Robot-Assisted Radical Prostatectomy

Background/Objectives: Urinary continence recovery after robot-assisted radical prostatectomy (RARP) follows a progressive trajectory that is often simplified into binary outcomes. Modeling continence recovery as an ordered process may better reflect post-operative functional patterns and identify clinically relevant predictors. Methods: We retrospectively analyzed 180 patients undergoing extraperitoneal single-port RARP. At 6 months, continence recovery was classified into three ordered categories: early continence, late continence, and persistent incontinence. Multivariable ordinal logistic regression was used to identify independent predictors of continence recovery. The primary model included nerve-sparing (NS) status, postoperative complications, age, and prostate volume. Sensitivity analyses were performed by sequentially replacing prostate volume with body mass index, surgical case number, or preoperative prostate-specific antigen (PSA). An interaction between NS and age group was also tested. Results: NS surgery was the strongest independent predictor of favorable continence recovery (p < .001), followed by absence of postoperative complications (p = .003). Younger age and larger prostate volume were also independently associated with improved continence recovery. Sensitivity analyses confirmed the robustness of the primary model, as replacement of prostate volume with body mass index, surgical case number, or PSA did not improve model performance and did not alter the effect of NS surgery. No significant interaction between NS and age group was observed. Conclusions: Continence recovery after extraperitoneal RARP is primarily driven by NS surgery and an uncomplicated postoperative course, with age and prostate volume providing additional refinement. Modeling continence as an ordinal outcome offers a clinically meaningful framework for evaluating functional recovery after prostatectomy.