Patient-derived models link re-entrant driver localization in atrial fibrillation to fibrosis spatial pattern

Patient-derived models link re-entrant driver localization in atrial fibrillation to fibrosis spatial pattern.

Sohail Zahid (1) , Hubert Cochet (2) , Patrick Boyle (1) , Erica Schwarz (1) , Kaitlyn Whyte (1) , Edward Vigmond (3) , Rémi Dubois (4) , Mélèze Hocini (4) , Michel Haïssaguerre (4) , Pierre Jaïs (4) , Natalia Trayanova (1)

1 JHU - Johns Hopkins University
2 AgroParisTech
3 CARMEN - Modélisation et calculs pour l'électrophysiologie cardiaque
4 IHU-LIRYC

The mechanisms underlying persistent atrial fibrillation (AF) in patients with atrial fibrosis are poorly understood. The goal of this study was to use patient-derived atrial models to test the hypothesis that AF re-entrant drivers (RDs) persist only in regions with specific fibrosis patterns.

Mots clés: Computational modelling; Fibrosis; Patient-derived atrial models; Persistent atrial fibrillation; Re-entrant drivers

Domaines: Ingénierie biomédicale; Cardiologie et système cardiovasculaire

Sohail Zahid, Hubert Cochet, Patrick Boyle, Erica Schwarz, Kaitlyn Whyte, et al.. Patient-derived models link re-entrant driver localization in atrial fibrillation to fibrosis spatial pattern. Cardiovascular Research, 2016, 110 (3), pp.443-454. ⟨10.1093/cvr/cvw073⟩. ⟨hal-02886247⟩