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Quality Improvement in Facial Transplantation: Standard Approach for Novel Procedures

Kantar, Rami S., MD; Rifkin, William J., BA; Diaz-Siso, J. Rodrigo, MD; Bernstein, G. Leslie, MPA; Rodriguez, Eduardo D., MD, DDS

Plastic and Reconstructive Surgery – Global Open: January 2018 - Volume 6 - Issue 1 - p e1653
doi: 10.1097/GOX.0000000000001653
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United States

From the Hansjörg Wyss Department of Plastic Surgery, New York University Langone Health, New York, N.Y.

Disclosure: The authors have no financial interest to declare in relation to the content of this article. The Article Processing Charge was paid for by the authors.

Eduardo D. Rodriguez, MD, DDS, Hansjörg Wyss Department of Plastic Surgery, NYU Langone Health, 303 E 33rd Street, New York City, NY, 10016, E-mail: Eduardo.Rodriguez@nyumc.org

This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND), where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal.

With 40 procedures reported to date, facial transplantation (FT) is a viable reconstructive option for patients with severe facial defects.1 A major challenge of FT is developing patient-specific reconstructive strategies, as facial defects can vary widely in potential candidates. This variability and the limited number of procedures performed to date have made the standardization of approaches to FT particularly difficult. The improvement of any process, including FT, relies heavily on standardization if long-term sustainability is to be achieved, and patient safety must remain a top priority in the early stages of surgical innovation. Through teamwork optimization, surgical simulation, methodical use of surgical technology, and the application of efficient perioperative algorithms (Table 1), the senior author (E.D.R) has performed 2 FTs under institutional review board approval. The first was performed in March 2012 and consisted of a total face, double jaw, and tongue transplant in a patient who sustained ballistic midface injury.2 The second was performed in August 2015 and consisted of a total face, eyelids, ears, scalp, and skeletal subunit transplant in a patient who sustained high surface area burns.3 Both distinct facial defects were addressed successfully by FT; surgeries and recovery occurred without incident. The patients present excellent aesthetic, functional, and quality of life outcomes.2,3

Table 1.

Table 1.

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STANDARD APPROACH TO FACIAL ALLOGRAFT PROCUREMENT, TRANSPLANT, AND SURGICAL TEAM

Seventeen mock cadaveric FTs were performed in preparation for both procedures.2,3 Furthermore, 2 research allograft procurements were performed in brain dead donors.2,3 These rehearsals allowed real-time high-fidelity simulation, objective outcomes evaluation, and ensured surgical refinement through repetition. In each simulation, donor and recipient surgical teams work together to reinforce team dynamics and optimize performance before clinical FT.

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METHODICAL USE OF SURGICAL TECHNOLOGY

Computerized surgical planning was incorporated into every simulation opportunity and subsequently integrated into both clinical FTs.2,3 Three-dimensional (3D) models generated from craniofacial computed tomography scans (Fig. 1) are used to identify optimal sites of osteotomy. In addition, personalized cutting guides are designed and 3D-printed for improved intraoperative accuracy.2,3 During surgery, facial allograft perfusion assessment using indocyanine green fluorescent angiography was performed, before transection of allograft source vessels, and upon completion of the procedure to ensure adequate blood flow.2,3

Fig. 1.

Fig. 1.

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WORKFLOW STANDARDIZATION

Standardization of logistical processes that are critical to FT was implemented, including an algorithm for asynchronous face and multiorgan allograft procurement from brain dead donors4 and an algorithm for the safe transfer of multiorgan donors to the FT team’s home institution in collaboration with the local organ procurement organization.4 These algorithms focus on ensuring the integrity of lifesaving solid organ allografts, enhancing surgical team safety, and improving communication between donor and recipient teams. Finally, perioperative nursing workflows have been developed in our most recent series of FT simulations.5

Through constant and objective self-evaluation, we continue to identify opportunities for process improvement. Our experience serves as proof of concept that exhaustive planning, process standardization, and quality improvement are possible for novel surgical procedures with limited worldwide experience.

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REFERENCES

1. Sosin M, Rodriguez ED. The face transplantation update: 2016. Plast Reconstr Surg 2016; 137:1841–1850.
2. Dorafshar AH, Bojovic B, Christy MR, et al. Total face, double jaw, and tongue transplantation: an evolutionary concept. Plast Reconstr Surg. 2013;131:241–251.
3. Sosin M, Ceradini DJ, Levine JP, et al. Total face, eyelids, ears, scalp, and skeletal subunit transplant: a reconstructive solution for the full face and total scalp burn. Plast Reconstr Surg. 2016;138:205–219.
4. Diaz-Siso JR, Plana NM, Schleich B, et al. Novel donor transfer algorithm for multiorgan and facial allograft procurement. Am J Transplant. 2017;17:2496–2497.
5. Sweeney N, Allen K, Miller B, et al. Perioperative nursing management of donor and recipient patients undergoing face transplantation. AORN J. 2017;106:8–19.
Copyright © 2018 The Authors. Published by Wolters Kluwer Health, Inc. on behalf of The American Society of Plastic Surgeons.