Simulation of ventricular rate control during atrial fibrillation using ionic channel blockers

Inada, Shin; Shibata, Nitaro; Iwata, Mamoru; Haraguchi, Ryo; Ashihara, Takashi; Ikeda, Takanori; Mitsui, Kazuyuki; Dobrzynski, Halina; Boyett, Mark R.; Nakazawa, Kimitaka

doi:10.1016/j.joa.2016.12.002

Cited by 10 publications

(9 citation statements)

References 24 publications

(28 reference statements)

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“…Besides, the sinus rhythm was completely suppressed by faster atrial pacing. This filtering behavior during AFB corresponds to the results observed in experiments 39, 55 and in simulations with complex 1D ion-channel based model 10, 56 .…”

Section: Results and Their Validationsupporting

confidence: 85%

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A compact multifunctional model of the rabbit atrioventricular node with dual pathways

Ryzhii¹,

Ryzhii²

2023

Preprint

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The atrioventricular node (AVN) is considered a "black box", and the functioning of its dual pathways remains controversial and not fully understood. In contrast to numerous clinical studies, there are only a few mathematical models of the node. In this paper, we present a compact, computationally lightweight multifunctional rabbit AVN model based on the Aliev-Panfilov two-variable cardiac cell model. The AVN model includes fast (FP) and slow (SP) pathways, primary pacemaking in the sinoatrial node, subsidiary pacemaking in the SP, and takes into account the asymmetry of coupling between model cells. At the same time, the model is accompanied by a visualization of electrical conduction in the AVN, revealing the interaction between SP and FP in the form of ladder diagrams. The AVN model demonstrates broad functionality, including normal sinus rhythm, AVN automaticity, filtering of high-rate atrial rhythms during atrial fibrillation and atrial flutter with Wenckebach periodicity, direction-dependent properties, and realistic anterograde and retrograde conduction curves in the control case and the cases of FP and SP ablation. To show the validity of the proposed model, we compare the simulation results with the available experimental data. Despite its simplicity, the proposed model can be used both as a stand-alone module and as a part of complex three-dimensional atrial or whole heart simulation systems and can help to understand some puzzling functions of AVN.

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Section: Results and Their Validationsupporting

confidence: 85%

“…Due to the simplicity of the two-variable APm used in this study, the proposed AVN model does not allow simulation of subtle effects on cardiac cell ion channels, such as the impact of drugs or change in ion concentrations as demonstrated in the more complex multicellular ion-channel based models 10, 56 .…”

Section: Discussionmentioning

confidence: 99%

A compact multifunctional model of the rabbit atrioventricular node with dual pathways

Ryzhii¹,

Ryzhii²

2023

Preprint

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“…Early models of the AV node did not account for the dual-pathway physiology ( Cohen et al, 1983 ; Jørgensen et al, 2002 ; Rashidi and Khodarahmi, 2005 ; Mangin et al, 2005 ; Lian et al, 2006 ). Later models have incorporated this feature, represented by separate refractory periods ( Corino et al, 2011 ; Henriksson et al, 2016 ; Inada et al, 2017 ; Wallman and Sandberg, 2018 ) and separate conduction delays ( Climent et al, 2011b ; Inada et al, 2017 ; Wallman and Sandberg, 2018 ). However, no models have explicitly incorporated ANS-induced changes in their model description.…”

Section: Introductionmentioning

confidence: 99%

An atrioventricular node model incorporating autonomic tone

et al. 2022

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The response to atrial fibrillation (AF) treatment is differing widely among patients, and a better understanding of the factors that contribute to these differences is needed. One important factor may be differences in the autonomic nervous system (ANS) activity. The atrioventricular (AV) node plays an important role during AF in modulating heart rate. To study the effect of the ANS-induced activity on the AV nodal function in AF, mathematical modelling is a valuable tool. In this study, we present an extended AV node model that incorporates changes in autonomic tone. The extension was guided by a distribution-based sensitivity analysis and incorporates the ANS-induced changes in the refractoriness and conduction delay. Simulated RR series from the extended model driven by atrial impulse series obtained from clinical tilt test data were qualitatively evaluated against clinical RR series in terms of heart rate, RR series variability and RR series irregularity. The changes to the RR series characteristics during head-down tilt were replicated by a 10% decrease in conduction delay, while the changes during head-up tilt were replicated by a 5% decrease in the refractory period and a 10% decrease in the conduction delay. We demonstrate that the model extension is needed to replicate ANS-induced changes during tilt, indicating that the changes in RR series characteristics could not be explained by changes in atrial activity alone.

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“…In clinically relevant large animal heart AF models, TREK-1 (K 2p 2.1) Potassium (cation) channels effectively provide rhythm control [141]. Simulation of ventricular rate control [142] and patient-specific sinus rhythm maintenance [143] have been investigated. In order to implement any cardioversion or rhythm control of AF in high-risk patients, the appropriate precautionary and safety measures are to be taken [144] that have been presented in a research document lately.…”

Section: Cardiac Rhythm Control and Maintenancementioning

confidence: 99%

A Review on Atrial Fibrillation (Computer Simulation and Clinical Perspectives)

Zaman

2022

Hearts

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Atrial fibrillation (AF), a heart condition, has been a well-researched topic for the past few decades. This multidisciplinary field of study deals with signal processing, finite element analysis, mathematical modeling, optimization, and clinical procedure. This article is focused on a comprehensive review of journal articles published in the field of AF. Topics from the age-old fundamental concepts to specialized modern techniques involved in today’s AF research are discussed. It was found that a lot of research articles have already been published in modeling and simulation of AF. In comparison to that, the diagnosis and post-operative procedures for AF patients have not yet been totally understood or explored by the researchers. The simulation and modeling of AF have been investigated by many researchers in this field. Cellular model, tissue model, and geometric model among others have been used to simulate AF. Due to a very complex nature, the causes of AF have not been fully perceived to date, but the simulated results are validated with real-life patient data. Many algorithms have been proposed to detect the source of AF in human atria. There are many ablation strategies for AF patients, but the search for more efficient ablation strategies is still going on. AF management for patients with different stages of AF has been discussed in the literature as well but is somehow limited mostly to the patients with persistent AF. The authors hope that this study helps to find existing research gaps in the analysis and the diagnosis of AF.

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Simulation of ventricular rate control during atrial fibrillation using ionic channel blockers

Cited by 10 publications

References 24 publications

A compact multifunctional model of the rabbit atrioventricular node with dual pathways

A compact multifunctional model of the rabbit atrioventricular node with dual pathways

An atrioventricular node model incorporating autonomic tone

A Review on Atrial Fibrillation (Computer Simulation and Clinical Perspectives)

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