• 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