Long-term quality of life outcomes and retreatment rates after robotic sacrocolpopexy

Int J Urol. 2015 Dec;22(12):1155-8. doi: 10.1111/iju.12900. Epub 2015 Aug 24.

Abstract

Objective: To evaluate the long-term outcomes and potential predictors of treatment failure after robotic sacrocolpopexy.

Methods: We identified 70 consecutive patients from 2002 to 2012 with symptomatic post-hysterectomy vaginal vault prolapse that underwent robotic sacrocolpopexy. Multiple clinical and surgical variables were evaluated for potential association with treatment failure, which was defined as any repeat operation for recurrent prolapse or mesh-related complications.

Results: The median age at surgery was 67 years (interquartile range 59-74 years) and median follow up was 72 months (interquartile range 39-114 months). Overall, six out of 70 patients (8.6%) underwent a total of six secondary surgeries, including four for recurrent prolapse (two anterior repairs, one posterior repair, one apical) and two mesh complications. No patient-related factors were associated with the risk of repeat surgery: age (P = 0.45), diabetes mellitus (P = 0.24), tobacco use (P = 0.61) or prior prolapse surgery (P = 0.1) on univariate analysis. Freedom from repeat prolapse surgery or surgery for mesh complication was 98% at 1 year, 95% at 3 years and 90% at 6 years. At last follow up, 80% of patients reported that they would or probably would recommend robotic sacrocolpopexy to a family member or friend.

Conclusions: Robotic sacrocolpopexy is associated with excellent long-term outcomes. Recognition of long-term success is important for preoperative patient counseling.

Keywords: outcomes; patient satisfaction; pelvic organ prolapse; robotic; sacrocolpopexy.

MeSH terms

  • Aged
  • Female
  • Follow-Up Studies
  • Humans
  • Laparoscopy* / adverse effects
  • Middle Aged
  • Pelvic Organ Prolapse / surgery*
  • Quality of Life
  • Recurrence
  • Reoperation
  • Robotic Surgical Procedures* / adverse effects
  • Surgical Mesh / adverse effects*
  • Time Factors