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Updated: Jan 14, 2026

Catheter Ablation in Combination With Left Atrial Appendage Closure for Atrial Fibrillation
Published on: February 26, 2013
The Role of Anticoagulants After Left Atrial Appendage Occlusion
Maria Segarra-Queralt1, Marc Molla1, Manal Barrouhou1
1Department of Information and Communication Technologies, Universitat Pompeu Fabra, Barcelona, Catalonia, Spain.
Insights
Device-related thrombosis (DRT) after left atrial appendage occlusion can recur. This case highlights the importance of pulmonary ridge coverage and appropriate antithrombotic therapy, confirmed by a novel multiscale model.
Area of Science:
- Cardiovascular Medicine
- Biomedical Engineering
- Computational Fluid Dynamics
Background:
- Left atrial appendage occlusion (LAAO) is crucial for preventing thromboembolic events in atrial fibrillation patients with high bleeding risk.
- Device-related thrombosis (DRT) is a significant complication following LAAO procedures.
- Current strategies for DRT prevention require further optimization.
Background:
Left atrial appendage occlusion prevents thromboembolic events in atrial fibrillation patients with bleeding risk, but device-related thrombosis (DRT) remains a challenge.
Case Summary:
A 78-year-old man with atrial fibrillation (CHA2DS2-VASc score = 3) and prior intracranial hemorrhage underwent successful left atrial appendage occlusion with a 22-mm Amplatzer Amulet. After stepping down from apixaban to aspirin, DRT developed. Thrombi resolved with apixaban but recurred on its discontinuation. A multiscale model integrating hemodynamics, thrombus formation events, and apixaban revealed fibrin buildup beneath the pulmonary ridge, matching clinical thrombus. Optimized placement alone prevented fibrin formation in the virtual model.
Discussion:
Pulmonary ridge coverage and low-dose direct oral anticoagulants have emerged as effective strategies to reduce DRT. This case links both mechanisms, showing recurrence due to incomplete ridge coverage and antithrombotic decision.
Take-Home Messages:
Our high-fidelity model offers mechanistic insight about antithrombotic therapy, which cannot be assessed with flow-based simulations alone. The results presented provide proof-of-concept evidence of the model's capabilities.
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