Literature DB >> 29232301

Robotic Mitral Valve Repair: The Learning Curve.

Avi Goodman, Marijan Koprivanac, Marta Kelava, Stephanie L Mick, A Marc Gillinov, Jeevanantham Rajeswaran, Anna Brzezinski, Eugene H Blackstone, Tomislav Mihaljevic.   

Abstract

OBJECTIVE: Adoption of robotic mitral valve surgery has been slow, likely in part because of its perceived technical complexity and a poorly understood learning curve. We sought to correlate changes in technical performance and outcome with surgeon experience in the "learning curve" part of our series.
METHODS: From 2006 to 2011, two surgeons undertook robotically assisted mitral valve repair in 458 patients (intent-to-treat); 404 procedures were completed entirely robotically (as-treated). Learning curves were constructed by modeling surgical sequence number semiparametrically with flexible penalized spline smoothing best-fit curves.
RESULTS: Operative efficiency, reflecting technical performance, improved for (1) operating room time for case 1 to cases 200 (early experience) and 400 (later experience), from 414 to 364 to 321 minutes (12% and 22% decrease, respectively), (2) cardiopulmonary bypass time, from 148 to 102 to 91 minutes (31% and 39% decrease), and (3) myocardial ischemic time, from 119 to 75 to 68 minutes (37% and 43% decrease). Composite postoperative complications, reflecting safety, decreased from 17% to 6% to 2% (63% and 85% decrease). Intensive care unit stay decreased from 32 to 28 to 24 hours (13% and 25% decrease). Postoperative stay fell from 5.2 to 4.5 to 3.8 days (13% and 27% decrease). There were no in-hospital deaths. Predischarge mitral regurgitation of less than 2+, reflecting effectiveness, was achieved in 395 (97.8%), without correlation to experience; return-to-work times did not change substantially with experience.
CONCLUSIONS: Technical efficiency of robotic mitral valve repair improves with experience and permits its safe and effective conduct.

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Mesh:

Year:  2017        PMID: 29232301     DOI: 10.1097/IMI.0000000000000438

Source DB:  PubMed          Journal:  Innovations (Phila)        ISSN: 1556-9845


  4 in total

Review 1.  Robotics in cardiac surgery.

Authors:  A H Sepehripour; G Garas; T Athanasiou; R Casula
Journal:  Ann R Coll Surg Engl       Date:  2018-09       Impact factor: 1.891

Review 2.  Systematic review of learning curves in robot-assisted surgery.

Authors:  N A Soomro; D A Hashimoto; A J Porteous; C J A Ridley; W J Marsh; R Ditto; S Roy
Journal:  BJS Open       Date:  2019-11-29

Review 3.  Robotic mitral valve surgery: a review and tips for safely negotiating the learning curve.

Authors:  Caroline Toolan; Kenneth Palmer; Omar Al-Rawi; Tim Ridgway; Paul Modi
Journal:  J Thorac Dis       Date:  2021-03       Impact factor: 2.895

4.  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

  4 in total

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