Literature DB >> 30719977

The evolution of device technology in transcatheter aortic valve implantation.

Christos V Bourantas1, Rodrigo Modolo, Andreas Baumbach, Lars Søndergaard, Bernard D Prendergast, Muhidin Ozkor, Simon Kennon, Anthony Mathur, Michael J Mullen, Patrick W Serruys.   

Abstract

Transcatheter aortic valve implantation (TAVI) has rapidly evolved and changed the landscape of structural interventional cardiology. Advances in transcatheter heart valve (THV) prostheses and TAVI-enabling devices have simplified the procedure, reduced the risk of complications, improved short- and long-term outcomes and broadened the applications of TAVI, not only in challenging patients and complex anatomies but also in intermediate-risk or even in low-risk patients, where surgical valve replacement constitutes an effective and well-established therapy. In this review article, we provide an overview of the developments in TAVI devices which have played a vital role in TAVI evolution: we describe the prostheses that failed to reach clinical practice, we present the characteristics of the first valves that were tested in the clinical arena, we summarise the evidence from the first studies that highlighted the potential but also the limitations of TAVI, and we present the advanced next-generation THV prostheses that have an improved performance and safety profile.

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Year:  2019        PMID: 30719977     DOI: 10.4244/EIJ-D-18-01048

Source DB:  PubMed          Journal:  EuroIntervention        ISSN: 1774-024X            Impact factor:   6.534


  4 in total

Review 1.  Aortic Stenosis: New Insights in Diagnosis, Treatment, and Prevention.

Authors:  Saki Ito; Jae K Oh
Journal:  Korean Circ J       Date:  2022-10       Impact factor: 3.101

Review 2.  Transcatheter management of severe aortic stenosis during the COVID-19 pandemic.

Authors:  Bharat Khialani; Philip MacCarthy
Journal:  Heart       Date:  2020-06-10       Impact factor: 5.994

3.  Transcatheter Aortic Valve Implant in Latin America - We will Get There!

Authors:  Silvio Gioppato; Rodrigo Modolo
Journal:  Arq Bras Cardiol       Date:  2022-06-10       Impact factor: 2.667

4.  A Proof of Concept Study of Using Machine-Learning in Artificial Aortic Valve Design: From Leaflet Design to Stress Analysis.

Authors:  Liang Liang; Bill Sun
Journal:  Bioengineering (Basel)       Date:  2019-11-08
  4 in total

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