Watchman vs. Amulet for Left Atrial Appendage Closure: Current Evidence and Future Perspectives.
Marco FrazzettoClaudio SanfilippoGiuliano CostaClaudia ContrafattoChiara GiacaloneSalvatore ScanduraGiuseppe CastaniaJessica De SantisMaria SanfilippoMaria Elena Di SalvoCorrado TamburinoMarco BarbantiCarmelo GrassoPublished in: Journal of clinical medicine (2024)
Left atrial appendage closure (LAAC) is a crucial intervention for stroke prevention in patients with non-valvular atrial fibrillation who are unsuitable for long-term anticoagulation. Amulet and Watchman are the most implanted devices worldwide for performing LAAC, and the aim of this review is to provide a comprehensive comparison focusing on their efficacy, safety, and short- and long-term outcomes. The Watchman device, the first to gain FDA approval, has been extensively studied and demonstrates significant reductions in stroke and systemic embolism rates. The Amulet device, a newer alternative, promises enhanced design features for more efficient appendage sealing. Current data highlight that both devices offer similar efficacy and safety for LAAC. While the two devices differ in terms of intraprocedural complication rates, they offer similar short- to long-term outcomes in terms of peri-device leaks, device-related thrombosis, and mortality. Both devices are indicated for patients who are unable to tolerate OAC, given their similar risk and safety profiles. Newer clinical studies are directed at establishing the efficacy of both devices as the primary method for stroke prevention in AF as an alternative to OAC.
Keyphrases
- left atrial appendage
- atrial fibrillation
- catheter ablation
- oral anticoagulants
- left atrial
- direct oral anticoagulants
- heart failure
- end stage renal disease
- percutaneous coronary intervention
- chronic kidney disease
- ejection fraction
- randomized controlled trial
- newly diagnosed
- pulmonary embolism
- multidrug resistant
- cardiovascular disease
- risk factors
- prognostic factors
- machine learning
- mitral valve
- brain injury
- deep learning
- patient reported outcomes
- drug administration