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Surgical skills assessment of pancreaticojejunostomy using a simulator may predict patient outcomes: A multicenter prospective observational study. | LitMetric

AI Article Synopsis

Article Abstract

Background: Pancreatoduodenectomy, an advanced surgical procedure with a high complication rate, requires surgical skill in performing pancreaticojejunostomy, which correlates with operative outcomes. We aimed to analyze the correlation between pancreaticojejunostomy assessment conducted in a simulator environment and the operating room and patient clinical outcomes.

Methods: We recruited 30 surgeons (with different experience levels in pancreatoduodenectomy) from 11 institutes. Three trained blinded raters assessed the videos of the pancreaticojejunostomy procedure performed in the operating room using a simulator according to an objective structured assessment of technical skill and a newly developed pancreaticojejunostomy assessment scale. The correlations between the assessment score of the pancreaticojejunostomy performed in the operating room and using the simulator and between each assessment score and patient outcomes were calculated. The participants were also surveyed regarding various aspects of the simulator as a training tool.

Results: There was no correlation between the average score of the pancreaticojejunostomy performed in the operating room and that in the simulator environment (r = 0.047). Pancreaticojejunostomy scores using the simulator were significantly lower in patients with postoperative pancreatic fistula than in those without postoperative pancreatic fistula (P = .05). Multivariate analysis showed that pancreaticojejunostomy assessment scores were independent factors in postoperative pancreatic fistula (P = .09). The participants highly rated the simulator and considered that it had the potential to be used for training.

Conclusion: There was no correlation between pancreaticojejunostomy surgical performance in the operating room and the simulation environment. Surgical skills evaluated in the simulation setting could predict patient surgical outcomes.

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Source
http://dx.doi.org/10.1016/j.surg.2023.02.027DOI Listing

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