학술논문

Computational modeling identifies embolic stroke of undetermined source patients with potential arrhythmic substrate
Document Type
article
Source
eLife, Vol 10 (2021)
Subject
atrial fibrillation
embolic stroke of
undetermined source
fibrosis
LGE-MRI
computational modeling & simulation
Medicine
Science
Biology (General)
QH301-705.5
Language
English
ISSN
2050-084X
Abstract
Cardiac magnetic resonance imaging (MRI) has revealed fibrosis in embolic stroke of undetermined source (ESUS) patients comparable to levels seen in atrial fibrillation (AFib). We used computational modeling to understand the absence of arrhythmia in ESUS despite the presence of putatively pro-arrhythmic fibrosis. MRI-based atrial models were reconstructed for 45 ESUS and 45 AFib patients. The fibrotic substrate’s arrhythmogenic capacity in each patient was assessed computationally. Reentrant drivers were induced in 24/45 (53%) ESUS and 22/45 (49%) AFib models. Inducible models had more fibrosis (16.7 ± 5.45%) than non-inducible models (11.07 ± 3.61%; p