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The WATCHMAN Left Atrial Appendage Closure Device for Atrial Fibrillation
Published on: February 28, 2012
Risk factors for thrombosis and spontaneous echocardiographic contrast with sludge in atrial fibrillation patients
Jerzy Rekosz1, Jarosław Karwowski2, Ilona Kowalik3
12nd Department of Cardiology, Masovian Brodnowski Hospital, Warszawa, Poland. jerzy.rekosz@op.pl.
Predictors of thrombosis and spontaneous echocardiographic contrast in atrial fibrillation patients undergoing cardioversion were identified. Female sex, reduced ejection fraction, and lower LAA flow velocity are key risk factors.
Area of Science:
- Cardiology
- Medical Imaging
- Thrombosis Research
Background:
- Transesophageal echocardiography (TEE) and knowledge of thrombosis (T) risk predictors are crucial for safe electrical cardioversion in atrial fibrillation (AF) patients.
- Understanding these factors aids in patient selection and procedural safety.
Purpose of the Study:
- To investigate predictors of thrombosis (T) and spontaneous echocardiographic contrast (SEC) with sludge in the left atrium (LA) and appendage (LAA).
- To analyze these predictors in AF patients receiving oral anticoagulation (OAC).
Main Methods:
- A study involving 300 AF patients (duration >48 hours) was conducted.
- 219 patients received OACs (rivaroxaban, apixaban, dabigatran, VKAs), and 81 served as a control group without OACs.
- All patients underwent transthoracic echocardiography and TEE prior to electrical cardioversion.
Main Results:
- TEE identified LAA thrombosis in 4.7% of cases.
- The incidence of T or SEC4+ with sludge was similar between OAC and control groups (5.9% vs. 1.2% and 16.4% vs. 16.0%).
- Rivaroxaban showed the lowest risk of SEC4+/T (OR, 0.42), while VKAs showed the highest (OR, 2.49). Independent predictors included female sex, lower ejection fraction, and reduced LAA flow velocity.
Conclusions:
- Female sex, transthoracic echocardiography, and TEE findings are important for assessing T/SEC risk in LA/LAA patients with AF.
- These factors should be integrated into risk stratification protocols.
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