Impact of effective refractory period personalization on arrhythmia vulnerability in patient-specific atrial computer models
Increased ERP dispersion had a greater effect on re-entry dynamics than on vulnerability. Inducibility was higher in personalized scenarios compared with scenarios with uniformly reduced ERP; however, this effect was reversed when incorporating fibrosis informed by low-voltage areas. Effective refractory period measurement uncertainty up to 20 ms slightly influenced vulnerability. Electrophysiological personalization of atrial in silico models appears essential and requires confirmation in larger cohorts.
Authors
- Armin Luik (ORCID: https://orcid.org/0000-0001-5926-6696)
- Laura Unger (ORCID: https://orcid.org/0000-0002-5614-1983)
- Axel Loewe (ORCID: https://orcid.org/0000-0002-2487-4744)
- Patricia Martínez Díaz (ORCID: https://orcid.org/0009-0006-9762-2982)
- Albert Dasí (ORCID: https://orcid.org/0000-0002-8649-8203)
- Christian Goetz (ORCID: https://orcid.org/0009-0006-5222-4390)
- Blanca Rodríguez (ORCID: https://orcid.org/0000-0002-3435-7388)
- Annika Haas
- Olaf Dössel
Institutions
- Karlsruhe Institute of Technology (DE)
- Information Technology Institute (EG)
- Heidelberg University (DE)
- University Hospital Heidelberg (DE)
- University of Oxford (GB)
- Städtisches Klinikum Karlsruhe (DE)
- Science Oxford (GB)
Publication Details
- Journal
- EP Europace
- Published
- 2024-08-23
- DOI
- https://doi.org/10.1093/europace/euae215
- Citations
- 8
- Primary Topic
- Atrial Fibrillation Management and Outcomes
- Type
- article
- Field-Weighted Citation Impact
- 3.22
Funders
- European Commission
- Leibniz-Gemeinschaft