Literature DB >> 26621489

How computer simulations of the human heart can improve anti-arrhythmia therapy.

Natalia A Trayanova1,2, Kelly C Chang1.   

Abstract

Over the last decade, the state-of-the-art in cardiac computational modelling has progressed rapidly. The electrophysiological function of the heart can now be simulated with a high degree of detail and accuracy, opening the doors for simulation-guided approaches to anti-arrhythmic drug development and patient-specific therapeutic interventions. In this review, we outline the basic methodology for cardiac modelling, which has been developed and validated over decades of research. In addition, we present several recent examples of how computational models of the human heart have been used to address current clinical problems in cardiac electrophysiology. We will explore the use of simulations to improve anti-arrhythmic pacing and defibrillation interventions; to predict optimal sites for clinical ablation procedures; and to aid in the understanding and selection of arrhythmia risk markers. Together, these studies illustrate how the tremendous advances in cardiac modelling are poised to revolutionize medical treatment and prevention of arrhythmia.
© 2015 The Authors. The Journal of Physiology © 2015 The Physiological Society.

Entities:  

Mesh:

Year:  2016        PMID: 26621489      PMCID: PMC4850196          DOI: 10.1113/JP270532

Source DB:  PubMed          Journal:  J Physiol        ISSN: 0022-3751            Impact factor:   5.182


  159 in total

Review 1.  Coupling multi-physics models to cardiac mechanics.

Authors:  D A Nordsletten; S A Niederer; M P Nash; P J Hunter; N P Smith
Journal:  Prog Biophys Mol Biol       Date:  2009-11-14       Impact factor: 3.667

2.  Interaction of specialized cardiac conduction system with antiarrhythmic drugs: a simulation study.

Authors:  Lydia Dux-Santoy; Rafael Sebastian; Jose Felix-Rodriguez; Jose Maria Ferrero; Javier Saiz
Journal:  IEEE Trans Biomed Eng       Date:  2011-08-18       Impact factor: 4.538

3.  Repolarization alternans reveals vulnerability to human atrial fibrillation.

Authors:  Sanjiv M Narayan; Michael R Franz; Paul Clopton; Etienne J Pruvot; David E Krummen
Journal:  Circulation       Date:  2011-06-06       Impact factor: 29.690

4.  Optimizing local capture of atrial fibrillation by rapid pacing: study of the influence of tissue dynamics.

Authors:  Laurent Uldry; Nathalie Virag; Vincent Jacquemet; Jean-Marc Vesin; Lukas Kappenberger
Journal:  Ann Biomed Eng       Date:  2010-07-09       Impact factor: 3.934

Review 5.  Pacing therapy for prevention of atrial fibrillation.

Authors:  Kenneth A Ellenbogen
Journal:  Heart Rhythm       Date:  2006-12-15       Impact factor: 6.343

6.  Effect of acute global ischemia on the upper limit of vulnerability: a simulation study.

Authors:  Blanca Rodríguez; Brock M Tice; James C Eason; Felipe Aguel; José M Ferrero; Natalia Trayanova
Journal:  Am J Physiol Heart Circ Physiol       Date:  2004-01-29       Impact factor: 4.733

7.  hERG inhibitors with similar potency but different binding kinetics do not pose the same proarrhythmic risk: implications for drug safety assessment.

Authors:  Giovanni Y DI Veroli; Mark R Davies; Henggui Zhang; Najah Abi-Gerges; Mark R Boyett
Journal:  J Cardiovasc Electrophysiol       Date:  2013-10-07

Review 8.  Effects of fibrosis morphology on reentrant ventricular tachycardia inducibility and simulation fidelity in patient-derived models.

Authors:  Jordan Ringenberg; Makarand Deo; David Filgueiras-Rama; Gonzalo Pizarro; Borja Ibañez; Rafael Peinado; José L Merino; Omer Berenfeld; Vijay Devabhaktuni
Journal:  Clin Med Insights Cardiol       Date:  2014-09-25

9.  Patient-Specific Models of Cardiac Biomechanics.

Authors:  Adarsh Krishnamurthy; Christopher T Villongco; Joyce Chuang; Lawrence R Frank; Vishal Nigam; Ernest Belezzuoli; Paul Stark; David E Krummen; Sanjiv Narayan; Jeffrey H Omens; Andrew D McCulloch; Roy Cp Kerckhoffs
Journal:  J Comput Phys       Date:  2013-07-01       Impact factor: 3.553

10.  Computational cardiology: the heart of the matter.

Authors:  Natalia A Trayanova
Journal:  ISRN Cardiol       Date:  2012-11-14
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  14 in total

1.  George Ralph Mines (1886-1914): the dawn of cardiac nonlinear dynamics.

Authors:  Michael R Guevara; Alvin Shrier; John Orlowski; Leon Glass
Journal:  J Physiol       Date:  2016-05-01       Impact factor: 5.182

2.  I love it when a plan comes together: Insight gained through convergence of competing mathematical models.

Authors:  Jingqi Q X Gong; Jaehee V Shim; Elisa Núñez-Acosta; Eric A Sobie
Journal:  J Mol Cell Cardiol       Date:  2016-11-30       Impact factor: 5.000

3.  Computationally efficient model of myocardial electromechanics for multiscale simulations.

Authors:  Fyodor Syomin; Anna Osepyan; Andrey Tsaturyan
Journal:  PLoS One       Date:  2021-07-22       Impact factor: 3.240

4.  Optimal contrast-enhanced MRI image thresholding for accurate prediction of ventricular tachycardia using ex-vivo high resolution models.

Authors:  Dongdong Deng; Plamen Nikolov; Hermenegild J Arevalo; Natalia A Trayanova
Journal:  Comput Biol Med       Date:  2018-10-03       Impact factor: 4.589

5.  Mechanisms of arrhythmogenesis related to calcium-driven alternans in a model of human atrial fibrillation.

Authors:  Kelly C Chang; Natalia A Trayanova
Journal:  Sci Rep       Date:  2016-11-04       Impact factor: 4.379

6.  Computational assessment of the functional role of sinoatrial node exit pathways in the human heart.

Authors:  Sanjay R Kharche; Edward Vigmond; Igor R Efimov; Halina Dobrzynski
Journal:  PLoS One       Date:  2017-09-05       Impact factor: 3.240

7.  A Numerical Study of Scalable Cardiac Electro-Mechanical Solvers on HPC Architectures.

Authors:  Piero Colli Franzone; Luca F Pavarino; Simone Scacchi
Journal:  Front Physiol       Date:  2018-04-05       Impact factor: 4.566

8.  Ca2+ Cycling Impairment in Heart Failure Is Exacerbated by Fibrosis: Insights Gained From Mechanistic Simulations.

Authors:  Maria T Mora; Jose M Ferrero; Juan F Gomez; Eric A Sobie; Beatriz Trenor
Journal:  Front Physiol       Date:  2018-08-23       Impact factor: 4.566

9.  Personalized Imaging and Modeling Strategies for Arrhythmia Prevention and Therapy.

Authors:  Natalia A Trayanova; Patrick M Boyle; Plamen P Nikolov
Journal:  Curr Opin Biomed Eng       Date:  2018-03

10.  In-silico study of the cardiac arrhythmogenic potential of biomaterial injection therapy.

Authors:  William A Ramírez; Alessio Gizzi; Kevin L Sack; Julius M Guccione; Daniel E Hurtado
Journal:  Sci Rep       Date:  2020-07-31       Impact factor: 4.379

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