Long-Term Effectiveness of a Drug-Eluting Stent for Femoropopliteal In-Stent Restenosis: Subanalysis of the Zilver PTX Japan Post-Market Surveillance Study

JOURNAL OF ENDOVASCULAR THERAPY(2021)

引用 7|浏览16
暂无评分
摘要
Purpose To present a subgroup analysis of patients from a large real-world study evaluating the safety and effectiveness of the Zilver PTX drug-eluting stent (DES) for treating femoropopliteal in-stent restenosis (ISR). Materials and Methods This study examined patients enrolled in the Zilver PTX Japan Post-Market Surveillance Study (ClinicalTrials.gov identifier NCT02254837), a prospective, multicenter registry of 904 symptomatic patients with 1082 femoropopliteal lesions treated with the DES at 95 institutions in Japan. Five-year outcomes, including mortality, stent radiography, freedom from target lesion revascularization (TLR), and clinical benefit, were evaluated for 177 patients (mean age 74.2 +/- 8.3 years; 118 men) with 204 ISR lesions treated with the Zilver DES. Over half of the patients (108, 61.0%) were diabetic. Mean lesion length was 17.8 +/- 10.4 cm, and a third (72, 35.3%) were total occlusions. Outcome measures were all-cause mortality, thrombosis, freedom from TLR, and clinical benefit, defined as freedom from persistent or deteriorating ischemic symptoms. Results No device-related or procedure-related deaths or paclitaxel-related adverse events were reported. All-cause mortality was 25.1% at 5 years. Stent fracture was observed in 5 stents through 5 years. The 5-year rate of freedom from clinically-driven TLR was 73.4%, and the rate of clinical benefit was 63.6%. Improvement in Rutherford category and ankle-brachial index was sustained through 5 years. Conclusion The safety and effectiveness of the Zilver PTX stent for the treatment of femoropopliteal ISR lesions demonstrated that this device provides a favorable treatment option in this difficult-to-treat subgroup.
更多
查看译文
关键词
drug-eluting stent,in-stent restenosis,mortality,occlusion,peripheral artery disease,target lesion revascularization
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