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Computational Modelling Enabling In Silico Trials for Cardiac Physiologic Pacing.

Authors :
Strocchi, Marina
Wijesuriya, Nadeev
Mehta, Vishal
de Vere, Felicity
Rinaldi, Christopher A.
Niederer, Steven A.
Source :
Journal of Cardiovascular Translational Research; Jun2024, Vol. 17 Issue 3, p685-694, 10p
Publication Year :
2024

Abstract

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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
19375387
Volume :
17
Issue :
3
Database :
Complementary Index
Journal :
Journal of Cardiovascular Translational Research
Publication Type :
Academic Journal
Accession number :
178231000
Full Text :
https://doi.org/10.1007/s12265-023-10453-y