Computational Modeling for Antiarrhythmic Drugs for Atrial Fibrillation According to Genotype
Background: The efficacy of antiarrhythmic drugs (AAD) can vary in patients with atrial fibrillation (AF), and the PITX2 gene affects the responsiveness of AADs. We explored the virtual AAD (V-AAD) responses between wild-type and PITX2+/−-deficient AF conditions by realistic in silico AF modeling.Me...
Main Authors: | Inseok Hwang, Ze Jin, Je-Wook Park, Oh-Seok Kwon, Byounghyun Lim, Myunghee Hong, Min Kim, Hee-Tae Yu, Tae-Hoon Kim, Jae-Sun Uhm, Boyoung Joung, Moon-Hyoung Lee, Hui-Nam Pak |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2021-05-01
|
Series: | Frontiers in Physiology |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fphys.2021.650449/full |
Similar Items
-
Corrigendum: Computational modeling for antiarrhythmic drugs for atrial fibrillation according to genotype
by: Inseok Hwang, et al.
Published: (2022-12-01) -
Ablation and antiarrhythmic drug effects on PITX2+/− deficient atrial fibrillation: A computational modeling study
by: Ze Jin, et al.
Published: (2022-07-01) -
Spatial Changes in the Atrial Fibrillation Wave-Dynamics After Using Antiarrhythmic Drugs: A Computational Modeling Study
by: Inseok Hwang, et al.
Published: (2021-09-01) -
Corrigendum: Spatial changes in the atrial fibrillation wave-dynamics after using antiarrhythmic drugs: A computational modeling study
by: Inseok Hwang, et al.
Published: (2022-12-01) -
Cost-effectiveness of rhythm control strategy: Ablation versus antiarrhythmic drugs for treating atrial fibrillation in Korea based on real-world data
by: Woojin Kim, et al.
Published: (2023-01-01)