Evaluating the optimal training paradigm for transcarotid artery revascularization based on worldwide experience.


Journal

Journal of vascular surgery
ISSN: 1097-6809
Titre abrégé: J Vasc Surg
Pays: United States
ID NLM: 8407742

Informations de publication

Date de publication:
02 2022
Historique:
received: 07 07 2021
accepted: 25 08 2021
pubmed: 26 9 2021
medline: 24 2 2022
entrez: 25 9 2021
Statut: ppublish

Résumé

Transcarotid artery revascularization (TCAR) is a new hybrid approach to carotid artery revascularization. Proctored training on live cases is an effort-, time-, and resource-intensive approach to learning new procedures. We analyzed the worldwide experience with TCAR to develop objective performance metrics for the procedure and compared the effectiveness of training physicians using cadavers or synthetic models to that of traditional in-person training on live cases. Physicians underwent one of three mandatory training programs: (1) in-person proctoring on live TCAR procedures, (2) supervised training on human cadavers, and (3) supervised training on synthetic models. The training details and information from all subsequent independently performed TCAR procedures were recorded. The composite clinical adverse events (ie, transient ischemic attack, stroke, myocardial infarction, death) and composite technical adverse events (ie, aborted procedure, conversion to surgery, bleeding, dissection, cranial nerve injury, or device failure, occurring within 24 hours were recorded). Four procedural proficiency measures were recorded: procedure time, flow-reversal time, fluoroscopy time, and contrast volume. We compared the adverse event rates between the procedures performed by physicians after undergoing the three training modes and tested whether the proficiency measures achieved during TCAR after training on cadavers and synthetic models were noninferior to proctored training. From March 3, 2009 to May 7, 2020, 1160 physicians had undergone proctored (19.1%), cadaver-based (27.4%), and synthetic model-based (53.5%) TCAR training and had subsequently performed 17,283 TCAR procedures. The proctored physicians had treated younger patients and more patients with asymptomatic carotid stenosis and had had more prior experience with transfemoral carotid stenting. The overall 24-hour composite clinical and technical adverse event rates, adjusted for age, sex, and symptomatic status, were 1.0% (95% confidence interval, 0.8%-1.3%) and 6.0% (95% confidence interval, 5.4%-6.6%), respectively, and did not differ significantly by training mode. The proficiency measures of cadaver-trained and synthetic model-trained physicians were not inferior to those for the proctored physicians. We have presented key objective proficiency metrics for performing TCAR and an analytic framework to assess adequate training for the procedure. Training on cadavers or synthetic models achieved clinical outcomes, technical outcomes, and proficiency measures for subsequently performed TCAR procedures similar to those achieved with training using traditional proctoring on live cases.

Sections du résumé

BACKGROUND
Transcarotid artery revascularization (TCAR) is a new hybrid approach to carotid artery revascularization. Proctored training on live cases is an effort-, time-, and resource-intensive approach to learning new procedures. We analyzed the worldwide experience with TCAR to develop objective performance metrics for the procedure and compared the effectiveness of training physicians using cadavers or synthetic models to that of traditional in-person training on live cases.
METHODS
Physicians underwent one of three mandatory training programs: (1) in-person proctoring on live TCAR procedures, (2) supervised training on human cadavers, and (3) supervised training on synthetic models. The training details and information from all subsequent independently performed TCAR procedures were recorded. The composite clinical adverse events (ie, transient ischemic attack, stroke, myocardial infarction, death) and composite technical adverse events (ie, aborted procedure, conversion to surgery, bleeding, dissection, cranial nerve injury, or device failure, occurring within 24 hours were recorded). Four procedural proficiency measures were recorded: procedure time, flow-reversal time, fluoroscopy time, and contrast volume. We compared the adverse event rates between the procedures performed by physicians after undergoing the three training modes and tested whether the proficiency measures achieved during TCAR after training on cadavers and synthetic models were noninferior to proctored training.
RESULTS
From March 3, 2009 to May 7, 2020, 1160 physicians had undergone proctored (19.1%), cadaver-based (27.4%), and synthetic model-based (53.5%) TCAR training and had subsequently performed 17,283 TCAR procedures. The proctored physicians had treated younger patients and more patients with asymptomatic carotid stenosis and had had more prior experience with transfemoral carotid stenting. The overall 24-hour composite clinical and technical adverse event rates, adjusted for age, sex, and symptomatic status, were 1.0% (95% confidence interval, 0.8%-1.3%) and 6.0% (95% confidence interval, 5.4%-6.6%), respectively, and did not differ significantly by training mode. The proficiency measures of cadaver-trained and synthetic model-trained physicians were not inferior to those for the proctored physicians.
CONCLUSIONS
We have presented key objective proficiency metrics for performing TCAR and an analytic framework to assess adequate training for the procedure. Training on cadavers or synthetic models achieved clinical outcomes, technical outcomes, and proficiency measures for subsequently performed TCAR procedures similar to those achieved with training using traditional proctoring on live cases.

Identifiants

pubmed: 34562569
pii: S0741-5214(21)02137-6
doi: 10.1016/j.jvs.2021.08.085
pmc: PMC8792193
mid: NIHMS1743543
pii:
doi:

Types de publication

Evaluation Study Journal Article Multicenter Study Research Support, N.I.H., Extramural Research Support, U.S. Gov't, Non-P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

581-589.e1

Subventions

Organisme : Intramural NIH HHS
ID : Z01 AG000513
Pays : United States
Organisme : NIA NIH HHS
ID : P30 AG028747
Pays : United States
Organisme : CSRD VA
ID : I01 CX001621
Pays : United States
Organisme : NIDDK NIH HHS
ID : P30 DK072488
Pays : United States
Organisme : RRD VA
ID : I01 RX000995
Pays : United States
Organisme : NINDS NIH HHS
ID : R01 NS097876
Pays : United States
Organisme : NINDS NIH HHS
ID : U01 NS080168
Pays : United States
Organisme : CSRD VA
ID : I01 CX000407
Pays : United States

Commentaires et corrections

Type : CommentIn

Informations de copyright

Copyright © 2021 Society for Vascular Surgery. Published by Elsevier Inc. All rights reserved.

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Auteurs

Brajesh K Lal (BK)

Department of Vascular Surgery, University of Maryland, Baltimore, Md. Electronic address: blal@som.umaryland.edu.

Richard Cambria (R)

Division of Vascular Surgery, St Elizabeth's Medical Center, Boston, Mass.

Wesley Moore (W)

Division of Vascular Surgery, University of California, Los Angeles, Los Angeles, Calif.

Minerva Mayorga-Carlin (M)

Department of Vascular Surgery, University of Maryland, Baltimore, Md.

William Shutze (W)

Division of Vascular Surgery, Texas Vascular Associates, The Heart Hospital Plano, Plano, Tex.

Christopher L Stout (CL)

Division of Vascular Surgery, Mercy Hospital, Springfield, Mo.

Heath Broussard (H)

Division of Vascular Surgery, The Jackson Clinic PA, Jackson, Tenn.

H Edward Garrett (HE)

Division of Vascular Surgery, University of Tennessee, Memphis, Tenn.

Wayne Nelson (W)

Division of Vascular Surgery, St Charles Medical Center, Bend, Ore.

Jessica M Titus (JM)

Division of Vascular Surgery, Minneapolis Heart Institute, Abbott Northwestern Hospital, Minneapolis, Minn.

Sumaira Macdonald (S)

Silk Road Medical Inc, Sunnyvale, Calif.

Rachel Lake (R)

Department of Vascular Surgery, University of Maryland, Baltimore, Md.

John D Sorkin (JD)

Department of Medicine, University of Maryland, Baltimore, Md.

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Classifications MeSH