Literature DB >> 33403721

An analysis of the learning curve for robotic-assisted mitral valve repair.

Ahmet Ü Güllü1, Sahin Senay1, Muharrem Kocyigit2, Ertugrul Zencirci3, Ahmet Akyol3, Aleks Degirmencioglu3, Gultekin Karakus3, Egemen Ersin4, Alara Karabiber1, Cem Alhan1.   

Abstract

BACKGROUND: Many cardiac surgeons receive training for sternotomy-based cardiac surgical operations in residency programs and only a few education programs offer training specifically in minimally invasive cardiac surgery. In this report, we aimed to search and analyze the learning curve for robotic-assisted mitral valve (MV) repair in cardiac surgeons.
METHOD: Between January 2010 and July 2019, 60 robotic-assisted isolated MV repair surgeries were performed with DaVinci Robotic Systems in our center. Different kinds of surgical techniques were used. The assessment of the learning curve was based on cardiopulmonary bypass (CPB) and transthoracic aortic clamp (CC) times. RESULT: There were 23 (38.3%) men and 37 (61.7%) women with a mean age of 48.3 years. The lesions of the MV were posterior leaflet prolapsus (n = 42, 70.0%), anterior leaflet prolapsus (n = 8, 13.3%), Barlow disease (n = 3, 5%), and annular dilatation (n = 7, 11.6%). The patients underwent notochordal implantation (n = 27, 45%), quadrangular or triangular resection (n = 23, 38.3%), isolated ring annuloplasty (n = 7, 11.7%), resection, and leaflet reduction (n = 2, 3.3%) or edge to edge repair (n = 1, 1.7%). The maturation of the learning curve appeared to be about 30 cases. The statistical analysis showed that the mean CPB and CC times for the first 30 cases were greater compared with the 30 after learning curve (155.3 vs. 118.9 min [p = .00], 102.3 vs. 80 min [p = .00], respectively). There was no case of conversion to open surgery. No perioperative mortality was observed.
CONCLUSION: The maturation of the learning curve for robotic-assisted MV repair appeared to be about 30 cases in our group of patients. This study had encouraging results for surgeons who desire to start a robotic mitral surgery program.
© 2021 Wiley Periodicals LLC.

Entities:  

Keywords:  learning curve; robotic surgery; valve repair

Mesh:

Year:  2021        PMID: 33403721     DOI: 10.1111/jocs.15281

Source DB:  PubMed          Journal:  J Card Surg        ISSN: 0886-0440            Impact factor:   1.620


  2 in total

1.  Starting A New Robotic Surgery Program for Mitral Valve Repair. Lessons Learned from The First Nine Months.

Authors:  Antonio Piperata; Olivier Busuttil; Nicolas d'Ostrevy; Jean-Luc Jansens; Saud Taymoor; Besart Cuko; Thomas Modine; Mathieu Pernot; Louis Labrousse
Journal:  J Clin Med       Date:  2021-11-21       Impact factor: 4.241

Review 2.  How to implement a clinical robotic mitral valve surgery program.

Authors:  Anna Xue; Sarah Chen; Alison Ranade; Kimberly Smith; Jeff Kasten; Jorge Catrip; Bob Kiaii
Journal:  Ann Cardiothorac Surg       Date:  2022-09
  2 in total

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