Electrocardiographic imaging metrics to predict the risk of arrhythmia in patients with ischemic cardiomyopathy
ECGi allows non-invasive measurement of metrics which are associated with an increased risk of ventricular arrhythmias in patients with ischemic cardiomyopathy. ECGi may be a useful tool for risk assessment in these patients. Prospective studies are warranted for further validation and prediction of clinical endpoints.
Authors
- Christopher A. Rinaldi (ORCID: https://orcid.org/0000-0002-3930-1957)
- Holly Morgan (ORCID: https://orcid.org/0000-0002-6636-6174)
- Divaka Perera (ORCID: https://orcid.org/0000-0001-6362-1291)
- Martin J. Bishop (ORCID: https://orcid.org/0000-0002-6237-1902)
- Mark K. Elliott (ORCID: https://orcid.org/0000-0003-2805-3043)
- Azizah Puspitasari Ardinal (ORCID: https://orcid.org/0009-0000-0250-0090)
Institutions
- King's College London (GB)
- Guy's and St Thomas' NHS Foundation Trust (GB)
- British Heart Foundation (GB)
Publication Details
- Journal
- Journal of Arrhythmia
- Published
- 2025-02-01
- DOI
- https://doi.org/10.1002/joa3.70024
- Citations
- 2
- Primary Topic
- Cardiac electrophysiology and arrhythmias
- Type
- article
- Field-Weighted Citation Impact
- 2.78
Funders
- British Heart Foundation