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A computational analysis of atrial fibrillation effects on coronary perfusion across the different myocardial layers
Patients with atrial fibrillation (AF) may present ischemic chest pain in the absence of classical obstructive coronary disease. Among the possible causes, the direct hemodynamic effect exerted by the irregular arrhythmia has not been studied in detail. We performed a computational fluid dynamics an...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8763927/ https://www.ncbi.nlm.nih.gov/pubmed/35039584 http://dx.doi.org/10.1038/s41598-022-04897-6 |
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author | Saglietto, Andrea Fois, Matteo Ridolfi, Luca De Ferrari, Gaetano Maria Anselmino, Matteo Scarsoglio, Stefania |
author_facet | Saglietto, Andrea Fois, Matteo Ridolfi, Luca De Ferrari, Gaetano Maria Anselmino, Matteo Scarsoglio, Stefania |
author_sort | Saglietto, Andrea |
collection | PubMed |
description | Patients with atrial fibrillation (AF) may present ischemic chest pain in the absence of classical obstructive coronary disease. Among the possible causes, the direct hemodynamic effect exerted by the irregular arrhythmia has not been studied in detail. We performed a computational fluid dynamics analysis by means of a 1D-0D multiscale model of the entire human cardiovascular system, enriched by a detailed mathematical modeling of the coronary arteries and their downstream distal microcirculatory districts (subepicardial, midwall and subendocardial layers). Three mean ventricular rates were simulated (75, 100, 125 bpm) in both sinus rhythm (SR) and atrial fibrillation, and an inter-layer and inter-frequency analysis was conducted focusing on the ratio between mean beat-to-beat blood flow in AF compared to SR. Our results show that AF exerts direct hemodynamic consequences on the coronary microcirculation, causing a reduction in microvascular coronary flow particularly at higher ventricular rates; the most prominent reduction was seen in the subendocardial layers perfused by left coronary arteries (left anterior descending and left circumflex arteries). |
format | Online Article Text |
id | pubmed-8763927 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-87639272022-01-18 A computational analysis of atrial fibrillation effects on coronary perfusion across the different myocardial layers Saglietto, Andrea Fois, Matteo Ridolfi, Luca De Ferrari, Gaetano Maria Anselmino, Matteo Scarsoglio, Stefania Sci Rep Article Patients with atrial fibrillation (AF) may present ischemic chest pain in the absence of classical obstructive coronary disease. Among the possible causes, the direct hemodynamic effect exerted by the irregular arrhythmia has not been studied in detail. We performed a computational fluid dynamics analysis by means of a 1D-0D multiscale model of the entire human cardiovascular system, enriched by a detailed mathematical modeling of the coronary arteries and their downstream distal microcirculatory districts (subepicardial, midwall and subendocardial layers). Three mean ventricular rates were simulated (75, 100, 125 bpm) in both sinus rhythm (SR) and atrial fibrillation, and an inter-layer and inter-frequency analysis was conducted focusing on the ratio between mean beat-to-beat blood flow in AF compared to SR. Our results show that AF exerts direct hemodynamic consequences on the coronary microcirculation, causing a reduction in microvascular coronary flow particularly at higher ventricular rates; the most prominent reduction was seen in the subendocardial layers perfused by left coronary arteries (left anterior descending and left circumflex arteries). Nature Publishing Group UK 2022-01-17 /pmc/articles/PMC8763927/ /pubmed/35039584 http://dx.doi.org/10.1038/s41598-022-04897-6 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Saglietto, Andrea Fois, Matteo Ridolfi, Luca De Ferrari, Gaetano Maria Anselmino, Matteo Scarsoglio, Stefania A computational analysis of atrial fibrillation effects on coronary perfusion across the different myocardial layers |
title | A computational analysis of atrial fibrillation effects on coronary perfusion across the different myocardial layers |
title_full | A computational analysis of atrial fibrillation effects on coronary perfusion across the different myocardial layers |
title_fullStr | A computational analysis of atrial fibrillation effects on coronary perfusion across the different myocardial layers |
title_full_unstemmed | A computational analysis of atrial fibrillation effects on coronary perfusion across the different myocardial layers |
title_short | A computational analysis of atrial fibrillation effects on coronary perfusion across the different myocardial layers |
title_sort | computational analysis of atrial fibrillation effects on coronary perfusion across the different myocardial layers |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8763927/ https://www.ncbi.nlm.nih.gov/pubmed/35039584 http://dx.doi.org/10.1038/s41598-022-04897-6 |
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