Arrhythmias & electrophysiology
Impact of effective refractory period personalization on arrhythmia vulnerability in patient-specific atrial computer models
Authors' conclusion
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.
Study context
- Population
- Patients with clinical effective refractory period (ERP) measurements from multiple atrial locations
- Participants
- 7 patients
- Comparison
- Personalized vs non-personalized ERP distributions
- Outcome
- Arrhythmia vulnerability
Methodological detailspatient-specific atrial in silico models, personalized anatomical atrial models from electroanatomical mapping, Courtemanche cellular model, sensitivity analysis on ERP measurement uncertainty
- Patient-specific atrial in silico models
- Personalized anatomical atrial models from electroanatomical mapping
- Courtemanche cellular model
- Sensitivity analysis on ERP measurement uncertainty
Main finding
As reported in the abstract
Further findings
Tachycardia cycle length
Vulnerability with perturbations to measured ERP (sensitivity analysis)
- 2 ms perturbation
- 5.8 ± 2.7%
- 5 ms perturbation
- 6.1 ± 3.5%
- 10 ms perturbation
- 6.9 ± 3.7%
- 20 ms perturbation
- 5.2 ± 3.5%
- 50 ms perturbation
- 9.7 ± 10.0%
Original publication
Impact of effective refractory period personalization on arrhythmia vulnerability in patient-specific atrial computer models. Europace. Published 23 August 2024. doi:10.
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