Pass or Fail? Postoperative Active Voiding Trials in an Enhanced Recovery Program

Abstract

IMPORTANCE: Pelvic reconstructive surgery is often associated with transient postoperative voiding dysfunction. OBJECTIVE: This study aimed to compare postoperative active voiding trial (AVT) outcomes before and after implementation of an enhanced recovery program (ERP) for women undergoing pelvic reconstructive surgery. In addition, risk factors for postoperative urinary retention were identified. STUDY DESIGN: We retrospectively identified patients undergoing inpatient vaginal or robotic pelvic reconstructive surgery before and after implementation of an ERP at our institution. Demographics, operative and postoperative details, and AVT outcomes were collected. Primary outcome was AVT failure. Variables associated with increased risk of AVT failure were identified using multivariate analysis. RESULTS: Three hundred seventeen patients were included-75 pre-ERP and 242 ERP. There was no difference in AVT failures between pre-ERP and ERP groups (21.3% vs 21.9%, P = 0.92). The AVT failures were highest among those with abnormal preoperative postvoid residual volume (PVR ≥100 mL, 25.9% vs 12.2%, P = 0.01) and those who underwent an incontinence procedure (midurethral sling or Kelly plication, 30.4% vs 16.9%, P = 0.01). Compared with a reference procedure (total vaginal hysterectomy [TVH]), the following procedures were associated with statistically significant higher odds ratios (ORs) of AVT failure: TVH with incontinence procedure (OR, 15.0; confidence interval [CI], 4.58-48.9; P < 0.001), TVH with anterior repair (OR, 4.98; CI, 1.93-12.9; P = 0.001), and robotic sacrocolpopexy (OR, 3.6; CI, 1.18-11.2; P = 0.02). CONCLUSIONS: Postoperative AVT failure incidence did not differ pre- and post-ERP intervention. Abnormal preoperative PVR was associated with failed postoperative voiding trial. Concomitant incontinence procedures and/or anterior colporrhaphy were associated with increased incidence of voiding trial failure regardless of ERP cohort.