Defining benchmarks for robotic-assisted low anterior rectum resection in low-morbid patients: a multicenter analysis

Proctectomy Postoperative Complications [MeSH] ; Benchmarking [MeSH] ; Rectum/surgery [MeSH] ; Laparoscopy [MeSH] ; Humans [MeSH] ; Treatment Outcome [MeSH] ; Benchmarking ; RLAR ; Retrospective Studies [MeSH] ; Rectal Neoplasms/surgery [MeSH] ; Original Article ; Robotic low anterior rectum resection ; Proctectomy [MeSH] ; Robotic Surgical Procedures/adverse effects [MeSH] ; Rectum resection ; Rectal cancer ; Robotic surgery Rectal Neoplasms Rectum 3. Good health Benchmarking 03 medical and health sciences Postoperative Complications Treatment Outcome 0302 clinical medicine Robotic Surgical Procedures Humans Original Article Laparoscopy Retrospective Studies
DOI: 10.1007/s00384-021-03988-6 Publication Date: 2021-07-09T21:02:39Z
ABSTRACT
Abstract Purpose To define the best possible outcomes for robotic-assisted low anterior rectum resection (RLAR) using total mesorectal excision (TME) in low-morbid patients, performed by expert robotic surgeons in German robotic centers. The benchmark values were derived from these results. Methods The data was retrospectively collected from five German expert centers. After patient exclusion (prior surgery, extended surgery, no prior anastomosis, hand-sewn anastomosis), the benchmark cohort was defined (n = 226). The median with interquartile range was first calculated for the individual centers. The 75th percentile of the median results was defined as the benchmark cutoff and represents the “perfect” achievable outcome. This applied to all benchmark values apart from lymph node yield, where the cutoff was defined as the 25th percentile (more lymph nodes are better). Results The benchmark values for conversion and intraoperative complication rates were ≤ 4.0% and ≤ 1.4%, respectively. For postoperative complications, the benchmark was ≤ 28% for “any” and ≤ 18.0% for major complications. The R0 and complete TME rate benchmarks were both 100%, with a lymph node yield of > 18. The benchmark for rate of anastomotic insufficiency was < 12.5% and 90-day mortality was 0%. Readmission rates should not exceed 4%. Conclusion This outcome analysis of patients with low comorbidity undergoing RLAR may serve as a reference to evaluate surgical performance in robotic rectum resection.
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