Department of Biomedical Engineering, School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.
Institute of Biophysics, Medical University of Graz, Austria.
Comput Biol Med. 2019 Sep;112:103368. doi: 10.1016/j.compbiomed.2019.103368. Epub 2019 Jul 24.
Implanted cardiac defibrillators (ICDs) seek to automatically detect and terminate potentially lethal ventricular arrhythmias by applying strong internal electric shocks across the heart. However, the optimisation of the specific electrode design and configurations represents an intensive area of research in the pursuit of reduced shock strengths and fewer device complications and risks. Computational whole-torso simulations play an important role in this endeavour, although knowing which specific metric should be used to assess configuration efficacy and assessing the impact of different patient anatomies and pathologies, and the corresponding effect this may have on different metrics has not been investigated. We constructed a cohort of CT-derived high-resolution whole torso-cardiac computational models, including variants of cardiomyopathies and patients with differing torso dimensions. Simulations of electric shock application between electrode configurations corresponding to transveneous (TV-ICD) and subcutaneous (S-ICD) ICDs were modelled and conventional metrics such as defibrillation threshold (DFT) and impedance computed. In addition, we computed a novel metric termed the shock vector efficiency (η), which quantifies the fraction of electrical energy dissipated in the heart relative to the rest of the torso. Across the cohort, S-ICD configurations showed higher DFTs and impedances than TV-ICDs, as expected, although little consistent difference was seen between healthy and cardiomyopathy variants. η was consistently <2% for S-ICD configurations, becoming as high as 13% for TV-ICD setups. Simulations also suggested that a total torso height of approximately 20 cm is required for convergence in η. Overall, η was seen to be approximately negatively correlated with both DFT and impedance. However, important scenarios were identified in which certain values of DFT (or impedance) were associated with a range of η values, and vice-versa, highlighting the heterogeneity introduced by the different torsos and pathologies modelled. In conclusion, the shock vector efficiency represents a useful additional metric to be considered alongside DFT and impedance in the optimisation of ICD electrode configurations, particularly in the context of differing torso anatomies and cardiac pathologies, which can induce significant heterogeneity in conventional metrics of ICD efficacy.
植入式心脏除颤器 (ICD) 通过在心脏上施加强内部电击来自动检测和终止潜在致命的室性心律失常。然而,优化特定的电极设计和配置是一个密集的研究领域,旨在降低电击强度,减少设备并发症和风险。计算整体躯干模拟在这方面发挥了重要作用,尽管还不知道应该使用哪些特定的指标来评估配置的效果,以及评估不同患者体型和病理学的影响,以及这可能对不同指标产生的相应影响。我们构建了一组由 CT 衍生的高分辨率整体躯干-心脏计算模型,包括心肌病和不同躯干尺寸患者的变体。模拟了对应于经静脉 (TV-ICD) 和皮下 (S-ICD) ICD 的电极配置之间的电击应用,并计算了传统指标,如除颤阈值 (DFT) 和阻抗。此外,我们还计算了一种新的指标,称为冲击向量效率 (η),它量化了相对于躯干其他部分在心内耗散的电能分数。在整个队列中,S-ICD 配置的 DFT 和阻抗都高于 TV-ICD,这是意料之中的,尽管在健康和心肌病变体之间几乎没有一致的差异。对于 S-ICD 配置,η 始终小于 2%,而对于 TV-ICD 配置,η 高达 13%。模拟还表明,η 大约需要大约 20cm 的总躯干高度才能收敛。总的来说,η 与 DFT 和阻抗呈负相关。然而,也确定了一些重要的情况,其中某些 DFT(或阻抗)值与 η 值的范围相关,反之亦然,突出了不同的躯干和病理模型所带来的异质性。总之,冲击向量效率代表了一个有用的附加指标,可与 DFT 和阻抗一起用于优化 ICD 电极配置,特别是在不同的躯干解剖结构和心脏病理学的情况下,这些情况会导致 ICD 疗效的传统指标产生显著的异质性。