Computational Modelling Enabling In Silico Trials for Cardiac Physiologic Pacing.
Computational Modelling Enabling In Silico Trials for Cardiac Physiologic Pacing.
复制标题
计算模型支持心脏生理起搏的计算机模拟试验。
DOI:
10.1007/s12265-023-10453-y
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发表时间:
2023
影响因子:
3.4
通讯作者:
Strocchi M
中科院分区:
文献类型:
--
作者:
Strocchi M
Conduction system pacing (CSP) has the potential to achieve physiological-paced activation by pacing the ventricular conduction system. Before CSP is adopted in standard clinical practice, large, randomised, and multi-centre trials are required to investigate CSP safety and efficacy compared to standard biventricular pacing (BVP). Furthermore, there are unanswered questions about pacing thresholds required to achieve optimal pacing delivery while preventing device battery draining, and about which patient groups are more likely to benefit from CSP rather than BVP. In silico studies have been increasingly used to investigate mechanisms underlying changes in cardiac function in response to pathologies and treatment. In the context of CSP, they have been used to improve our understanding of conduction system capture to optimise CSP delivery and battery life, and noninvasively compare different pacing methods on different patient groups. In this review, we discuss the in silico studies published to date investigating different aspects of CSP delivery.Graphical Abstract
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影响因子:
5.5
作者:
Lustgarten, Daniel L.;Calame, Susan;Spector, Peter S.
通讯作者:
Spector, Peter S.
DOI:
10.1016/j.jacep.2019.05.022
发表时间:
2019
期刊:
JACC. Clinical electrophysiology
影响因子:
--
作者:
S. Padala;K. Ellenbogen
通讯作者:
K. Ellenbogen
DOI:
--
发表时间:
2023
期刊:
Nature Network Boston
影响因子:
--
作者:
S. Moutinho
通讯作者:
S. Moutinho
影响因子:
5.5
作者:
Weijian Huang;Songjie Wang;Lan Su;G. Fu;Yangang Su;Keping Chen;J. Zou;Hongwei Han;Shengjie Wu;X. Sheng;Xueying Chen;Xiaohan Fan;Lei Xu;Xiaohong Zhou;Guangyun Mao;K. Ellenbogen;Z. Whinnett
通讯作者:
Z. Whinnett
影响因子:
8.4
作者:
Huntjens, Peter R.;Ploux, Sylvain;Bordachar, Pierre
通讯作者:
Bordachar, Pierre