Back

Associations between heart rate, deformational echocardiographic parameters and clinical outcomes in patients with atrial fibrillation

30 August 2024 (08:00 - 17:30)
Organised by: Logo
Congress Presentation Part of: Disease states and mapping techniques: do they affect outcomes of catheter ablation for atrial fibrillation? Clinical ESC Professional Premium Access ESC Congress 2024 European Society of Cardiology

About the speaker

Photo
Doctor Tze-Fan Chao

Taipei Veterans General Hospital, Taipei (Taiwan)

7 More presentations in this session

Presentation thumbnail
Role of 3D-electro-anatomical mapping on procedural characteristics and outcomes in pulsed-field ablation for atrial fibrillation
Mr D. Spreen (Basel, CH)
Abstract Slides Video
Presentation thumbnail
Atrial pace mapping with automatic intracardiac pattern matching for non-pulmonary vein trigger ablation: accuracy and feasibility
Mr E. Lian (Kiel, DE)
Abstract Slides Video
Presentation thumbnail
Unipolar electroanatomical mapping outperforms bipolar voltage in detecting LGE areas in the left atrium
Doctor Y. Mohsen (Baltimore, US)
Abstract Slides Video
Presentation thumbnail
Atrial fibrillation recurrence rates in patients with transthyretin cardiac amyloidosis undergoing pulmonary vein isolation: a comparative retrospective study with propensity score matching
Doctor S. Valcher (Rozzano, IT)
Abstract Slides Video
Presentation thumbnail
High density mapping accuracy and efficiency in atrial fibrillation: real-world outcomes from the SECURE registry
Doctor A. Di Monaco (Acquaviva Delle Fonti, IT)
Abstract Slides Video

Access the full session

Session thumbnail
Disease states and mapping techniques: do they affect outcomes of catheter ablation for atrial fibrillation?

The Event

Event poster

ESC Congress 2024

30 August - 2 September 2024
You may be interested in
thumbnail
Congress Presentation
Impact of atrial fibrillation with rapid ventricular response in acute decompensated heart failure
thumbnail
Congress Presentation
Mechanisms of atrial-fibrillation-induced ventricular dysfunction and recovery in the human left ventricular myocardium
thumbnail
Congress Presentation
Left atrial function for predicting atrial fibrillation: a machine learning approach

ESC 365 is supported by

novartis Explore sponsored resources

ESC 365 is supported by

novartis Explore sponsored resources