Computational probabilistic quantification of pro-arrhythmic risk from scar and left-to-right heterogeneity in the human ventricles

Both scar and left-to-right ventricular (LV/RV) differences in repolarization properties have been implicated as risk factors for lethal arrhythmias. As a possible mechanism for the initiation of re-entry, a recent study has indicated that LV/RV heterogeneities in the adaptation of action potential duration (APD) to changes in heart rate can cause a transient increase in APD dispersion following rate acceleration, promoting unidirectional block of conduction at the LV/RV junction. In the presence of an ischemic region and ectopic stimulation, a pathological dispersion in repolarization has been suggested to increase the risk of electrical re-entry. However, the exact location and timing of the ectopic activation play a crucial role in initiation of re-entry, and certain combinations may lead to re-entry even under normal LV/RV dispersion in repolarization. This suggests that the phenomenon needs to be investigated in a probabilistic way. In this study we employ a computationally efficient, phenomenological model to quantify the pro-arrhythmic effects associated with a range of combinations ofposition and timing of an ectopic activation. This allows us to probabilistically study how increasing interventricular dispersion of repolarization increases arrhythmic risk. Results indicate that a larger LV/RV dispersion more than doubles the length of the time window during which the ventricles are vulnerable to reentry, and leads to a four-fold increase in the probability of re-entry within the vulnerable window.

[1]  Jaswinder S. Gill,et al.  In Vivo Human Left-to-Right Ventricular Differences in Rate Adaptation Transiently Increase Pro-Arrhythmic Risk following Rate Acceleration , 2012, PloS one.

[2]  J. Gottdiener,et al.  Changes in heart rate and heart rate variability before ambulatory ischemic events(1). , 2001, Journal of the American College of Cardiology.

[3]  M.O. Bernabeu,et al.  High performance computer simulations for the study of biological function in 3D heart models incorporating fibre orientation and realistic geometry at para-cellular resolution , 2008, 2008 Computers in Cardiology.

[4]  P. Laguna,et al.  Mechanisms of Ventricular Rate Adaptation as a Predictor of Arrhythmic Risk Computer Modeling and Simulation Characterization of Ventricular Hr Adaptation Dynamics Evaluation of Proarrhythmic Risk in Simulation , 2022 .

[5]  Mark Potse,et al.  A Comparison of Monodomain and Bidomain Reaction-Diffusion Models for Action Potential Propagation in the Human Heart , 2006, IEEE Transactions on Biomedical Engineering.

[6]  Alexander G. Fletcher,et al.  Chaste: A test-driven approach to software development for biological modelling , 2009, Comput. Phys. Commun..

[7]  Daniel J Gauthier,et al.  Restitution in mapping models with an arbitrary amount of memory. , 2005, Chaos.

[8]  M R Franz,et al.  Sudden cardiac death and polymorphous ventricular tachycardia in patients with normal QT intervals and normal systolic cardiac function. , 1995, The American journal of cardiology.

[9]  R. Clayton,et al.  Whole heart action potential duration restitution properties in cardiac patients: a combined clinical and modelling study , 2006, Experimental physiology.

[10]  Hervé Delingette,et al.  A multi-front eikonal model of cardiac electrophysiology for interactive simulation of radio-frequency ablation , 2011, Comput. Graph..

[11]  Miguel O. Bernabeu,et al.  Shock-induced arrhythmogenesis in the human heart: A computational modelling study , 2010, 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology.

[12]  Nicolas Smith,et al.  A Comparative Study of Graph-Based, Eikonal, and Monodomain Simulations for the Estimation of Cardiac Activation Times , 2012, IEEE Transactions on Biomedical Engineering.

[13]  Edsger W. Dijkstra,et al.  A note on two problems in connexion with graphs , 1959, Numerische Mathematik.

[14]  Ralph J. Verdino,et al.  Changes in heart rate and heart rate variability before ambulatory ischemic events , 2001 .