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Myocardial architecture and patient variability in clinical patterns of atrial fibrillation
Atrial fibrillation (AF) increases the risk of stroke by a factor of 4–5 and is the most common abnormal heart rhythm. The progression of AF with age, from short self-terminating episodes to persistence, varies between individuals and is poorly understood. An inability to understand and predict vari...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5068559/ https://www.ncbi.nlm.nih.gov/pubmed/27766317 http://dx.doi.org/10.1103/PhysRevE.94.042401 |
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author | Manani, Kishan A. Christensen, Kim Peters, Nicholas S. |
author_facet | Manani, Kishan A. Christensen, Kim Peters, Nicholas S. |
author_sort | Manani, Kishan A. |
collection | PubMed |
description | Atrial fibrillation (AF) increases the risk of stroke by a factor of 4–5 and is the most common abnormal heart rhythm. The progression of AF with age, from short self-terminating episodes to persistence, varies between individuals and is poorly understood. An inability to understand and predict variation in AF progression has resulted in less patient-specific therapy. Likewise, it has been a challenge to relate the microstructural features of heart muscle tissue (myocardial architecture) with the emergent temporal clinical patterns of AF. We use a simple model of activation wave-front propagation on an anisotropic structure, mimicking heart muscle tissue, to show how variation in AF behavior arises naturally from microstructural differences between individuals. We show that the stochastic nature of progressive transversal uncoupling of muscle strands (e.g., due to fibrosis or gap junctional remodeling), as occurs with age, results in variability in AF episode onset time, frequency, duration, burden, and progression between individuals. This is consistent with clinical observations. The uncoupling of muscle strands can cause critical architectural patterns in the myocardium. These critical patterns anchor microreentrant wave fronts and thereby trigger AF. It is the number of local critical patterns of uncoupling as opposed to global uncoupling that determines AF progression. This insight may eventually lead to patient-specific therapy when it becomes possible to observe the cellular structure of a patient’s heart. |
format | Online Article Text |
id | pubmed-5068559 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
record_format | MEDLINE/PubMed |
spelling | pubmed-50685592016-10-18 Myocardial architecture and patient variability in clinical patterns of atrial fibrillation Manani, Kishan A. Christensen, Kim Peters, Nicholas S. Phys Rev E Article Atrial fibrillation (AF) increases the risk of stroke by a factor of 4–5 and is the most common abnormal heart rhythm. The progression of AF with age, from short self-terminating episodes to persistence, varies between individuals and is poorly understood. An inability to understand and predict variation in AF progression has resulted in less patient-specific therapy. Likewise, it has been a challenge to relate the microstructural features of heart muscle tissue (myocardial architecture) with the emergent temporal clinical patterns of AF. We use a simple model of activation wave-front propagation on an anisotropic structure, mimicking heart muscle tissue, to show how variation in AF behavior arises naturally from microstructural differences between individuals. We show that the stochastic nature of progressive transversal uncoupling of muscle strands (e.g., due to fibrosis or gap junctional remodeling), as occurs with age, results in variability in AF episode onset time, frequency, duration, burden, and progression between individuals. This is consistent with clinical observations. The uncoupling of muscle strands can cause critical architectural patterns in the myocardium. These critical patterns anchor microreentrant wave fronts and thereby trigger AF. It is the number of local critical patterns of uncoupling as opposed to global uncoupling that determines AF progression. This insight may eventually lead to patient-specific therapy when it becomes possible to observe the cellular structure of a patient’s heart. 2016-10-04 2016-10 /pmc/articles/PMC5068559/ /pubmed/27766317 http://dx.doi.org/10.1103/PhysRevE.94.042401 Text en https://creativecommons.org/licenses/by/3.0/ Published by the American Physical Society under the terms of the Creative Commons Attribution 3.0 License (https://creativecommons.org/licenses/by/3.0/) . Further distribution of this work must maintain attribution to the author(s) and the published article’s title, journal citation, and DOI. |
spellingShingle | Article Manani, Kishan A. Christensen, Kim Peters, Nicholas S. Myocardial architecture and patient variability in clinical patterns of atrial fibrillation |
title | Myocardial architecture and patient variability in clinical patterns of atrial fibrillation |
title_full | Myocardial architecture and patient variability in clinical patterns of atrial fibrillation |
title_fullStr | Myocardial architecture and patient variability in clinical patterns of atrial fibrillation |
title_full_unstemmed | Myocardial architecture and patient variability in clinical patterns of atrial fibrillation |
title_short | Myocardial architecture and patient variability in clinical patterns of atrial fibrillation |
title_sort | myocardial architecture and patient variability in clinical patterns of atrial fibrillation |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5068559/ https://www.ncbi.nlm.nih.gov/pubmed/27766317 http://dx.doi.org/10.1103/PhysRevE.94.042401 |
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