Patient-reported symptoms suggestive of vesicoureteral reflux after robotic ureteral reimplantation in adults.

Publication/Presentation Date

4-15-2025

Abstract

Little is known regarding the incidence of symptomatic, de novo vesicoureteral reflux (VUR) after ureteral reimplantation in adults. We sought to characterize this phenomenon in a contemporary cohort. We conducted a retrospective review of a multi-institutional database of robotic ureteral reconstruction (CORRUS, or Collaborative of Reconstructive Robotic Ureteral Surgery). Inclusion criteria were adult patients undergoing robotic ureteral reimplantation with at least 6 months of follow-up. Patients who had no evidence of recurrent ureteral stenosis were asked to complete a questionnaire characterizing their symptoms. The primary outcome was symptoms suggestive of VUR (SS-VUR), defined as flank pain of at least moderate severity that occurred at least weekly and worsened with voiding or a full bladder. We identified 257 patients who underwent robotic reimplantation, of which 97 (37.7%) were free from recurrent ureteral stenosis and responded to the questionnaire. At a median follow-up duration of 35.0 months (IQR 22.0-59.0), 26 patients (27.4%) reported flank pain of any severity on the same side as reimplantation. Nine patients (9.5%) met criteria for SS-VUR. Four patients underwent additional surgical intervention (two endoscopic, two robotic) after radiographic and functional workup confirmed VUR. On multivariable logistic regression, younger age was an independent predictor of SS-VUR (p = 0.041). In our contemporary series of robotic ureteral reimplantation in adults, over one-quarter of patients reported flank pain postoperatively in the absence of ureteral obstruction. A small proportion of patients had more bothersome symptoms particularly suggestive of VUR.

Volume

19

Issue

1

First Page

158

Last Page

158

ISSN

1863-2491

Disciplines

Business Administration, Management, and Operations | Health and Medical Administration | Management Sciences and Quantitative Methods

PubMedID

40232636

Department(s)

Administration and Leadership

Document Type

Article

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