Long-Term Outcomes of Absorb Bioresorbable Vascular Scaffold vs. Everolimus-Eluting Metallic Stent - A Randomized Comparison Through 5 Years in Japan -

Ken Kozuma, Kengo Tanabe, Yuji Hamazaki, Takayuki Okamura,Jiro Ando, Yuji Ikari, Yoshihisa Nakagawa,Hajime Kusano, Divine Ediebah,Takeshi Kimura

CIRCULATION JOURNAL(2020)

引用 0|浏览0
暂无评分
摘要
Background: Bioresorbable vascular scaffolds (BVS) are promising alternatives to metallic drug-eluting stents (DES) in percutaneous coronary interventions. Absorb BVS was comparable to XIENCE (DES) for patient- and device-oriented composite endpoints through 1 year post-procedure. Mid-term results showed increased rates of device-oriented events with Absorb. The objective of this study was to evaluate the long-term safety and effectiveness of Absorb BVS compared with XIENCE metallic DES when implanted in patients in Japan with de novo coronary artery lesions. Methods and Results: ABSORB Japan randomized 400 patients into either Absorb (n=266) or XIENCE (n=134) treatment arm. Through 5-year follow-up, the composite endpoints of DMR (death, myocardial infarction [MI], and all revascularization), target vessel failure (TVF), major adverse cardiac events (MACE), target lesion failure (TLF), and cardiac death/all MI were evaluated. Individual endpoints included death, MI, coronary revascularization, and scaffold/stent thrombosis. There were no significant differences in the composite or individual endpoint outcomes between the Absorb and XIENCE arms through 5 years or between 3 and 5 years. Numerically lower TVF, MACE, and all MI rates were observed for the Absorb vs. XIENCE arm after 3 years. No scaffold/stent thrombosis was reported beyond 3 years. Post-procedure imaging subgroups showed comparable event rates. Conclusions: Following resorption of the scaffold, between 3 and 5 years post-procedure, the Absorb BVS performed comparably to XIENCE in all patient- and device-oriented endpoints (ClinicalTrials.gov, #NCT01844284).
更多
查看译文
关键词
Bioresorbable scaffolds,Coronary stents,Restenosis,Thrombosis
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