Synergistic Anti:arrhythmic Effects of Combined Blockade of Sodium and Ultra:rapid Delayed Rectifier Potassium Channels in Human Atria

Ni, Haibo; Whittaker, Dominic G.; Wang, Wei; Zhang, Henggui

doi:10.22489/cinc.2016.243-411

Cited by 1 publication

(2 citation statements)

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“…Along this line, Ni et al (2017b) studied in silico the effects of the multi-channel blockers on atrial and ventricular activation, and found that the synergistic use of a specific and potentially selective IKur potassium channel blocker (acacetin) and a IN⁢A blocker seems to have no significant impact on QT prolongation or on ventricular activation. As suggested, the synergetic antiarrhythmic treatment leads to more effective termination of atrial reentries (Aguilar et al, 2015; Ni et al, 2016), while ventricular side effects in the ventricles are limited. Furthermore, the relationship between drug concentration and AF termination is also considered in other studies (Duarte et al, 2013; Tobón et al, 2014a, 2017).…”

Section: Resultsmentioning

confidence: 99%

“…In addition, considering patients during SR, the effect of antiarrhythmic drugs, such as potassium or sodium channel blockers, on the APD or ionic current characteristics, has been studied (Wettwer et al, 2004; Ehrlich et al, 2008; Law et al, 2010; Aslanidi et al, 2012a; Marshall et al, 2012; Voigt et al, 2013; Ni et al, 2016; Skibsbye et al, 2016; Ellinwood et al, 2017b; Tobón et al, 2017). Ablation success, applied during SR, has been presented (Tobón et al, 2015; Bayer et al, 2016) and the changes occurring in the P-waves after the PV isolation procedure have also been examined (Saha et al, 2016).…”

Section: Resultsmentioning

confidence: 99%

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Understanding the Beat-to-Beat Variations of P-Waves Morphologies in AF Patients During Sinus Rhythm: A Scoping Review of the Atrial Simulation Studies

et al. 2019

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The remarkable advances in high-performance computing and the resulting increase of the computational power have the potential to leverage computational cardiology toward improving our understanding of the pathophysiological mechanisms of arrhythmias, such as Atrial Fibrillation (AF). In AF, a complex interaction between various triggers and the atrial substrate is considered to be the leading cause of AF initiation and perpetuation. In electrocardiography (ECG), P-wave is supposed to reflect atrial depolarization. It has been found that even during sinus rhythm (SR), multiple P-wave morphologies are present in AF patients with a history of AF, suggesting a higher dispersion of the conduction route in this population. In this scoping review, we focused on the mechanisms which modify the electrical substrate of the atria in AF patients, while investigating the existence of computational models that simulate the propagation of the electrical signal through different routes. The adopted review methodology is based on a structured analytical framework which includes the extraction of the keywords based on an initial limited bibliographic search, the extensive literature search and finally the identification of relevant articles based on the reference list of the studies. The leading mechanisms identified were classified according to their scale, spanning from mechanisms in the cell, tissue or organ level, and the produced outputs. The computational modeling approaches for each of the factors that influence the initiation and the perpetuation of AF are presented here to provide a clear overview of the existing literature. Several levels of categorization were adopted while the studies which aim to translate their findings to ECG phenotyping are highlighted. The results denote the availability of multiple models, which are appropriate under specific conditions. However, the consideration of complex scenarios taking into account multiple spatiotemporal scales, personalization of electrophysiological and anatomical models and the reproducibility in terms of ECG phenotyping has only partially been tackled so far.

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