Leung, Keith Sai Kit, Huang, Helen, Chung, Cheuk To, Radford, Danny, Lakhani, Ishan, Li, Christien Ka Hou, Li, Tommy Wai Kei, Ranjithkumar, Simon, Rajan, Rajesh, Roever, Leonardo, and others. (2023) Historical perspective and recent progress in cardiac ion channelopathies research and clinical practice in Hong Kong. International Journal of Arrhythmia, 24 (1). Article Number 9. ISSN 2466-1171. (doi:10.1186/s42444-023-00092-4) (KAR id:101123)
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Official URL: https://doi.org/10.1186/s42444-023-00092-4 |
Abstract
Cardiac ion channelopathies encompass a set of inherited or acquired conditions that are due to dysfunction in ion channels or their associated proteins, typically in the presence of structurally normal hearts. They are associated with the development of ventricular arrhythmias and sudden cardiac death. The aim of this review is to provide a historical perspective and recent advances in the research of the cardiac ion channelopathies, Brugada syndrome, long QT syndrome and catecholaminergic polymorphic ventricular tachycardia, in Hong Kong, China. In particular, recent works on the development of novel predictive models incorporating machine learning techniques to improve risk stratification are outlined. The availability of linked records of affected patients with good longitudinal data in the public sector, together with multidisciplinary collaborations, implies that ion channelopathy research efforts have advanced significantly.
Item Type: | Article |
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DOI/Identification number: | 10.1186/s42444-023-00092-4 |
Uncontrolled keywords: | Ion channelopathies, Brugada syndrome, Catecholaminergic polymorphic ventricular tachycardia, Long QT syndrome, Sudden cardiac death, Risk stratification, Machine learning |
Subjects: | R Medicine |
Divisions: | Divisions > Division of Natural Sciences > Kent and Medway Medical School |
Funders: | University of Kent (https://ror.org/00xkeyj56) |
SWORD Depositor: | JISC Publications Router |
Depositing User: | JISC Publications Router |
Date Deposited: | 02 May 2023 11:49 UTC |
Last Modified: | 05 Nov 2024 13:06 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/101123 (The current URI for this page, for reference purposes) |
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