Computational Analysis of Coronary Blood Flow: The Role of Asynchronous Pacing and Arrhythmias

Timur Gamilov, Philipp Kopylov, Maria Serova, Roman Syunyaev, Andrey Pikunov, Sofya Belova, Fuyou Liang, Jordi Alastruey and Sergey Simakov
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Timur Gamilov: Moscow Institute of Physics and Technology, 141701 Dolgoprudny, Russia
Philipp Kopylov: Institute of Personalized Medicine, Sechenov University, 119992 Moscow, Russia
Maria Serova: Institute of Personalized Medicine, Sechenov University, 119992 Moscow, Russia
Roman Syunyaev: Moscow Institute of Physics and Technology, 141701 Dolgoprudny, Russia
Andrey Pikunov: Moscow Institute of Physics and Technology, 141701 Dolgoprudny, Russia
Sofya Belova: Institute of Psychology of Russian Academy of Sciences, 129366 Moscow, Russia
Fuyou Liang: Institute of Personalized Medicine, Sechenov University, 119992 Moscow, Russia
Jordi Alastruey: Institute of Personalized Medicine, Sechenov University, 119992 Moscow, Russia
Sergey Simakov: Moscow Institute of Physics and Technology, 141701 Dolgoprudny, Russia

Mathematics, 2020, vol. 8, issue 8, 1-16

Abstract: In this work we present a one-dimensional (1D) mathematical model of the coronary circulation and use it to study the effects of arrhythmias on coronary blood flow (CBF). Hydrodynamical models are rarely used to study arrhythmias’ effects on CBF. Our model accounts for action potential duration, which updates the length of systole depending on the heart rate. It also includes dependency of stroke volume on heart rate, which is based on clinical data. We apply the new methodology to the computational evaluation of CBF during interventricular asynchrony due to cardiac pacing and some types of arrhythmias including tachycardia, bradycardia, long QT syndrome and premature ventricular contraction (bigeminy, trigeminy, quadrigeminy). We find that CBF can be significantly affected by arrhythmias. CBF at rest (60 bpm) is 26% lower in LCA and 22% lower in RCA for long QT syndrome. During bigeminy, trigeminy and quadrigeminy, respectively, CBF decreases by 28%, 19% and 14% with respect to a healthy case.

Keywords: 1D haemodynamics; systole variations; coronary circulation; cardiac pacing; tachycardia; bradycardia; interventricular asynchrony; long QT syndrome; premature ventricular contraction (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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