Defining Global Benchmarks for Laparoscopic Liver Resections: An International Multicenter Study
- PMID: 35837974
- DOI: 10.1097/SLA.0000000000005530
Defining Global Benchmarks for Laparoscopic Liver Resections: An International Multicenter Study
Abstract
Objective: To establish global benchmark outcomes indicators after laparoscopic liver resections (L-LR).
Background: There is limited published data to date on the best achievable outcomes after L-LR.
Methods: This is a post hoc analysis of a multicenter database of 11,983 patients undergoing L-LR in 45 international centers in 4 continents between 2015 and 2020. Three specific procedures: left lateral sectionectomy (LLS), left hepatectomy (LH), and right hepatectomy (RH) were selected to represent the 3 difficulty levels of L-LR. Fifteen outcome indicators were selected to establish benchmark cutoffs.
Results: There were 3519 L-LR (LLS, LH, RH) of which 1258 L-LR (40.6%) cases performed in 34 benchmark expert centers qualified as low-risk benchmark cases. These included 659 LLS (52.4%), 306 LH (24.3%), and 293 RH (23.3%). The benchmark outcomes established for operation time, open conversion rate, blood loss ≥500 mL, blood transfusion rate, postoperative morbidity, major morbidity, and 90-day mortality after LLS, LH, and RH were 209.5, 302, and 426 minutes; 2.1%, 13.4%, and 13.0%; 3.2%, 20%, and 47.1%; 0%, 7.1%, and 10.5%; 11.1%, 20%, and 50%; 0%, 7.1%, and 20%; and 0%, 0%, and 0%, respectively.
Conclusions: This study established the first global benchmark outcomes for L-LR in a large-scale international patient cohort. It provides an up-to-date reference regarding the "best achievable" results for L-LR for which centers adopting L-LR can use as a comparison to enable an objective assessment of performance gaps and learning curves.
Copyright © 2022 Wolters Kluwer Health, Inc. All rights reserved.
Conflict of interest statement
B.K.P.G. has received travel grants and honorarium from Johnson and Johnson, Olympus, and Transmedic the local distributor for the Da Vinci Robot. M.V.M. is a consultant for CAVA robotics LLC. J.P. reports a research grant from Intuitive Surgical Deutschland GmbH and personal fees or nonfinancial support from Johnson & Johnson, Medtronic, AFS Medical, Astellas, CHG Meridian, Chiesi, Falk Foundation, La Fource Group, Merck, Neovii, NOGGO, pharma-consult Peterson, and Promedicis. M.S. reports personal fees or other support outside of the submitted work from Merck, Bayer, ERBE, Amgen, Johnson & Johnson, Takeda, Olympus, Medtronic, and Intuitive. A.F. reports receiving speaker fees from Bayer. F.R. reports speaker fees and support outside the submitted work from Integra, Medtronic, Olympus, Corza, Sirtex, and Johnson & Johnson. The remaining authors report no conflicts of interest.
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