ARC Centre of Excellence for Mathematical and Statistical Frontiers Queensland University of Technology, Brisbane, Australia.
Department of Computer Science, Universidade Federal de São João del-Rei, São João del-Rei, Brazil.
Philos Trans A Math Phys Eng Sci. 2020 Jun 12;378(2173):20190341. doi: 10.1098/rsta.2019.0341. Epub 2020 May 25.
Ischaemia, in which inadequate blood supply compromises and eventually kills regions of cardiac tissue, can cause many types of arrhythmia, some life-threatening. A significant component of this is the effects of the resulting hypoxia, and concomitant hyperklaemia and acidosis, on the electrophysiological properties of myocytes. Clinical and experimental data have also shown that regions of structural heterogeneity (fibrosis, necrosis, fibro-fatty infiltration) can act as triggers for arrhythmias under acute ischaemic conditions. Mechanistic models have successfully captured these effects . However, the relative significance of these separate facets of the condition, and how sensitive arrhythmic risk is to the extents of each, is far less explored. In this work, we use partitioned Gaussian process emulation and new metrics for source-sink mismatch that rely on simulations of bifurcating cardiac fibres to interrogate a model of heterogeneous ischaemic tissue. Re-entries were most sensitive to the level of hypoxia and the fraction of non-excitable tissue. In addition, our results reveal both protective and pro-arrhythmic effects of hyperklaemia, and present the levels of hyperklaemia, hypoxia and percentage of non-excitable tissue that pose the highest arrhythmic risks. This article is part of the theme issue 'Uncertainty quantification in cardiac and cardiovascular modelling and simulation'.
缺血会导致心肌组织的供血不足和最终死亡,从而引发多种心律失常,其中一些可能危及生命。导致这种情况的一个重要因素是由此产生的缺氧,以及随之而来的高钾血症和酸中毒对心肌细胞电生理特性的影响。临床和实验数据还表明,结构异质性区域(纤维化、坏死、纤维脂肪浸润)在急性缺血条件下可能成为心律失常的触发因素。机制模型成功地捕捉到了这些影响。然而,这些条件的各个方面的相对重要性,以及心律失常风险对每个方面的程度的敏感性,还远未得到充分探讨。在这项工作中,我们使用分区高斯过程仿真和依赖于分叉心脏纤维模拟的源-汇失配新指标来研究异质缺血组织的模型。折返最敏感于缺氧程度和非兴奋组织的分数。此外,我们的结果揭示了高钾血症的保护和致心律失常作用,并提出了存在最高心律失常风险的高钾血症、缺氧和非兴奋组织百分比水平。本文是“心脏和心血管建模与仿真中的不确定性量化”主题专刊的一部分。