The Learning Curve in Robotic Pancreaticoduodenectomy

N. Napoli, E. F. Kauffmann, M. Palmeri, M. Miccoli, F. Costa, F. Vistoli, G. Amorese, Ugo Boggi

Research output: Contribution to journalArticlepeer-review

Abstract

Background/Purpose: Few data are available on the learning curve (LC) in robot-assisted pancreaticoduodenectomy (RAPD) and no study specifically addresses the LC of a single surgeon. Methods: The LC of a single surgeon in RAPD was determined using the cumulative sum method, based on operative time (OT). Data were extracted from a prospectively maintained database and analyzed retrospectively considering all events occurring within 90 days of index operation. Results: Seventy RAPD were analyzed. One operation was converted to open surgery (1.4%). One patient died within 30 days (1.4%) and one within 90 days (2.8%). Postoperative complications occurred in 53 patients (75.7%) and exceeded Clavien-Dindo grade IIIb in 7 patients (10%). OT dropped after 33 operations from a mean of 564 ± 101.7 min to a mean of 484.1 ± 77.9 min (p = 0.0005) and was associated to reduced incidence of delayed gastric emptying (72.7 vs. 48.7%; p = 0.039). The rate of hospital readmission improved after 40 operations from 20.0 (8 of 40) to 3.3% (1 of 30) (p = 0.04). Conclusions: RAPD was safely feasible in selected patients. OT dropped after the first 33 operations and was associated with reduced rate of delayed gastric emptying. Readmission rate improved after 40 operations.

Original languageEnglish
Pages (from-to)299-307
Number of pages9
JournalDigestive Surgery
Volume33
Issue number4
DOIs
Publication statusPublished - May 1 2016

Keywords

  • Da Vinci
  • Learning curve
  • Pancreaticoduodenectomy
  • Robot

ASJC Scopus subject areas

  • Surgery
  • Gastroenterology

Fingerprint Dive into the research topics of 'The Learning Curve in Robotic Pancreaticoduodenectomy'. Together they form a unique fingerprint.

Cite this