TY - GEN
T1 - Genesis of Atrial Fibrillation Under Different Diffuse Fibrosis Density Related with Atmospheric Pollution. In-Silico Study
AU - Palacio, Laura C.
AU - Ugarte, Juan P.
AU - Saiz, Javier
AU - Tobón, Catalina
N1 - Funding Information:
Acknowledges. This work was supported by Ministerio de Ciencia Tecnología e Innovación (Minciencias) from Colombia through grant No. 120677757994, and by the Dirección General de Política Científica de la Generalitat Valenciana PROMETEO/2020/043.
Publisher Copyright:
© 2020, Springer Nature Switzerland AG.
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2020
Y1 - 2020
N2 - Atrial remodeling is a widely acknowledged process that accelerates the susceptibility to and progression of atrial fibrillation. An increasingly recognized structural component is atrial fibrosis. Recent studies have shown that air pollution increases the risk of heart arrhythmias, where the exposure to particulate matter (PM) contributes to the generation of myocardial fibrosis, increasing the cardiovascular risk. The density and patterns of fibrosis (interstitial, compact and diffuse) are relevant in abnormal conduction and vulnerability to cardiac arrhythmias. Taking into account that fibrosis has been widely reported as one of the consequences of PM exposure, in this work, we evaluated the effects of low and high diffuse fibrosis density on conduction velocity and arrhythmic propagation patterns. For this purpose, cellular models of atrial myocyte and fibroblast were implemented in a 3D model of the human atria. Low (6.25%) and high (25%) fibrosis densities were simulated in the left atrium and its effect on conduction velocity and fibrillatory dynamics was evaluated. Results showed a conduction velocity reduction of 71% associated with a high fibrosis density. At low fibrosis density, few reentries were observed. On the other hand, at high fibrosis density, irregular propagation patterns, characterized by multiple wavelets and rotors, were observed. Our results suggest that high diffuse fibrosis density is associated with a significant conduction velocity reduction and with chaotic propagation patterns during atrial fibrillation.
AB - Atrial remodeling is a widely acknowledged process that accelerates the susceptibility to and progression of atrial fibrillation. An increasingly recognized structural component is atrial fibrosis. Recent studies have shown that air pollution increases the risk of heart arrhythmias, where the exposure to particulate matter (PM) contributes to the generation of myocardial fibrosis, increasing the cardiovascular risk. The density and patterns of fibrosis (interstitial, compact and diffuse) are relevant in abnormal conduction and vulnerability to cardiac arrhythmias. Taking into account that fibrosis has been widely reported as one of the consequences of PM exposure, in this work, we evaluated the effects of low and high diffuse fibrosis density on conduction velocity and arrhythmic propagation patterns. For this purpose, cellular models of atrial myocyte and fibroblast were implemented in a 3D model of the human atria. Low (6.25%) and high (25%) fibrosis densities were simulated in the left atrium and its effect on conduction velocity and fibrillatory dynamics was evaluated. Results showed a conduction velocity reduction of 71% associated with a high fibrosis density. At low fibrosis density, few reentries were observed. On the other hand, at high fibrosis density, irregular propagation patterns, characterized by multiple wavelets and rotors, were observed. Our results suggest that high diffuse fibrosis density is associated with a significant conduction velocity reduction and with chaotic propagation patterns during atrial fibrillation.
KW - 3D models
KW - Air pollution
KW - Atrial fibrillation
KW - Fibrosis
UR - http://www.scopus.com/inward/record.url?scp=85094125733&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-61834-6_25
DO - 10.1007/978-3-030-61834-6_25
M3 - Contribución a la conferencia
AN - SCOPUS:85094125733
SN - 9783030618339
T3 - Communications in Computer and Information Science
SP - 291
EP - 301
BT - Applied Computer Sciences in Engineering - 7th Workshop on Engineering Applications, WEA 2020, Proceedings
A2 - Figueroa-García, Juan Carlos
A2 - Garay-Rairán, Fabián Steven
A2 - Hernández-Pérez, Germán Jairo
A2 - Díaz-Gutierrez, Yesid
PB - Springer Science and Business Media Deutschland GmbH
T2 - 7th Workshop on Engineering Applications, WEA 2020
Y2 - 7 October 2020 through 9 October 2020
ER -