DocumentCode :
674553
Title :
Computational probabilistic quantification of pro-arrhythmic risk from scar and left-to-right heterogeneity in the human ventricles
Author :
Wallman, Mikael ; Bueno-Orovio, A. ; Rodriguez, B.
Author_Institution :
Dept. of Comput. Sci., Univ. of Oxford, Oxford, UK
fYear :
2013
fDate :
22-25 Sept. 2013
Firstpage :
711
Lastpage :
714
Abstract :
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.
Keywords :
bioelectric potentials; cardiology; diseases; electrical conductivity; physiological models; polarisation; probability; APD dispersion; action potential duration; computational probabilistic quantification; ectopic activation; ectopic stimulation; electrical conduction; heart rate; ischemic region; left-to-right ventricular dispersion; left-to-right ventricular heterogeneity; lethal arrhythmias; pathological dispersion; phenomenological model; proarrhythmic risk factors; repolarization properties; scar; Adaptation models; Biological system modeling; Computational modeling; Dispersion; Heart rate variability; Pregnancy; Timing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computing in Cardiology Conference (CinC), 2013
Conference_Location :
Zaragoza
ISSN :
2325-8861
Print_ISBN :
978-1-4799-0884-4
Type :
conf
Filename :
6713476
Link To Document :
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