Registry of left atrial appendage closure and initial experience with intracardiac echocardiography.

Revista Portuguesa de Cardiologia (English Edition)(2018)

引用 4|浏览7
暂无评分
摘要
Introduction: Percutaneous closure of the left atrial appendage (LAA) is a promising therapy in patients with atrial fibrillation with high risk for stroke and contraindication for oral anticoagulation (OAC). Intracardiac echocardiography (ICE) may make this percutaneous procedure feasible in patients in whom transesophageal echocardiography (TEE) is inadvisable. Our aim was to assess the efficacy and safety of LAA closure and the feasibility of ICE compared to TEE to guide the procedure. Methods: In this cohort study of patients who underwent LAA closure between May 2010 and January 2017, clinical and imaging assessment was performed before and after the procedure. Results: In 82 patients (mean age 74 +/- 8 years, 64.4% male) the contraindications for OAC were severe bleeding or anemia (65%), high bleeding risk (14%), labile INR (16%), or recurrent embolic events (5%). The procedural success rate was 96.3%. The procedure was guided by TEE or ICE, and no statistically significant differences were observed between the two techniques. During follow-up, one patient had an ischemic stroke at 12 months, two had bleeding complications at six months, and there were four non-cardiovascular deaths. Embolic and bleeding events were less frequent than expected from the observed CHA(2)DS(2)VASc (0.6% vs. 6.3%; p<0.001) and HAS-BLED (1.2% vs. 4.1%; p<0.001) risk scores. Conclusions: In this population percutaneous LAA closure was shown to be safe and effective given the lower frequency of events than estimated by the CHA(2)DS(2)VASc and HAS-BLED scores. The clinical and imaging results of procedures guided by ICE in the left atrium were not inferior to those guided by TEE. (C) 2018 Sociedade Portuguesa de Cardiologia. Published by Elsevier Espana, S.L.U.
更多
查看译文
关键词
Atrial fibrillation,Left atrial appendage,Intracardiac echocardiography,Stroke,Bleeding
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要