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
复制
发表时间:
2023
影响因子:
3.4
通讯作者:
Strocchi M
Strocchi M
中科院分区:
医学3区
文献类型:
--
作者:
Strocchi M

文献摘要

参考文献

相似文献

传导系统起搏(CSP)有可能通过起搏心室传导系统实现生理起搏激活。在标准临床实践中采用CSP之前,需要进行大型、随机和多中心试验,以研究CSP与标准双心室起搏(BVP)相比的安全性和有效性。此外,关于在防止器械电池耗尽的同时实现最佳起搏输送所需的起搏阈值,以及哪些患者组更可能从CSP而不是BVP中受益,还存在未回答的问题。计算机模拟研究已越来越多地用于研究病理和治疗引起的心脏功能变化的潜在机制。在CSP的背景下,它们已被用于提高我们对传导系统夺获的理解,以优化CSP输送和电池寿命,并在不同患者组上无创比较不同起搏方法。在这篇综述中,我们讨论了迄今为止发表的研究CSP交付的不同方面的计算机研究。
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
DOI: 10.1016/j.hrthm.2009.09.066
发表时间: 2010-01-01
期刊: HEART RHYTHM
影响因子: 5.5
作者:
Lustgarten, Daniel L.;Calame, Susan;Spector, Peter S.
通讯作者: Spector, Peter S.
选择性与非选择性他的捆绑节奏:重要吗?
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
研究人员和监管机构计划没有实验动物的未来
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
DOI: --
发表时间: 2022
期刊: Heart Rhythm
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
DOI: 10.1161/circep.117.005647
发表时间: 2018-04-01
影响因子: 8.4
作者:
Huntjens, Peter R.;Ploux, Sylvain;Bordachar, Pierre
通讯作者: Bordachar, Pierre