J Reconstr Microsurg 2016; 32(03): 233-241
DOI: 10.1055/s-0035-1568157
Original Article
Thieme Medical Publishers 333 Seventh Avenue, New York, NY 10001, USA.

Anastomosis Lapse Index (ALI): A Validated End Product Assessment Tool for Simulation Microsurgery Training

Ali M. Ghanem
1   Academic Plastic Surgery Group, Barts and The London School of Medicine and Dentistry, London, United Kingdom
,
Yasser Al Omran
1   Academic Plastic Surgery Group, Barts and The London School of Medicine and Dentistry, London, United Kingdom
,
Bashar Shatta
1   Academic Plastic Surgery Group, Barts and The London School of Medicine and Dentistry, London, United Kingdom
,
Eunsol Kim
1   Academic Plastic Surgery Group, Barts and The London School of Medicine and Dentistry, London, United Kingdom
,
Simon Myers
1   Academic Plastic Surgery Group, Barts and The London School of Medicine and Dentistry, London, United Kingdom
› Institutsangaben
Weitere Informationen

Publikationsverlauf

31. März 2015

01. Oktober 2015

Publikationsdatum:
08. Dezember 2015 (online)

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Abstract

Background Over the last decade, simulation has become a principal training method in microsurgery. With an increasing move toward the use of nonliving models, there is a need to develop methods for assessment of microvascular anastomosis skill acquisition substituting traditional patency rate. The authors present and validate a novel method of microvascular anastomosis assessment tool for formative and summative skills competency assessment.

Methods In this study, 29 trainees with varying levels of experience in microsurgery undertook a 5-day microsurgery course. Two consecutive end-to-end microvascular anastomoses of cryopreserved rat aortas performed on day 3 and day 5 of the course were longitudinally split and photographed for randomized blinded qualitative evaluation. Four consecutive anastomoses by two experienced microsurgeons were analyzed as expert controls. Errors potentially leading to anastomotic leak or thrombosis were identified and logged. Statistical analysis using the Kruskal–Wallis analysis of variance (ANOVA) and a two-way repeated measure ANOVA was used to measure construct and concurrent validity, respectively.

Results A total of 128 microvascular anastomoses were analyzed for both student and control groups. Ten errors were identified and indexed. There was a statistically significant difference detected between average errors per anastomosis performed between groups (p < 0.05). Average errors per anastomosis was statistically decreased on day 5 of the course compared with day 3 (p < 0.001).

Conclusion Evaluation of anastomosis structural patency and quality in nonliving models is possible. The proposed error list showed construct and predictive validity. The anastomosis lapse index can serve as a formative and summative assessment tool during microvascular training.

Note

This article was presented in the XII Congress of the European Federation of Societies for Microsurgery Barcelona, Spain, April 3–5, 2014.