Drug-Eluting Resorbable Magnesium Scaffold Implantation in ST-Segment Elevation Myocardial Infarction: A Pilot Study.

JOURNAL OF INVASIVE CARDIOLOGY(2018)

引用 23|浏览5
暂无评分
摘要
Objectives. To assess feasibility and short-term clinical outcomes associated with resorbable magnesium scaffold (RMS) implantation in the setting of primary percutaneous coronary intervention for ST-segment elevation myocardial infarction (STEMI). Background. RMS implantation has demonstrated favorable clinical outcomes in stable coronary artery disease patients. However, to date, data are lacking in the setting of STEMI. Methods. This is a single-center prospective non-randomized pilot study. Patients admitted for STEMI were enrolled according to prespecified inclusion and exclusion criteria. The primary endpoint was device-oriented composite endpoint (DOCE), including cardiac death, target-vessel myocardial infarction, and target-lesion revascularization (TLR) within 30 days of the index procedure. Secondary endpoints were procedural success, any probable/definite scaffold thrombosis, and DOCE at subsequent follow-up. Results. From December 1, 2016 to October 30, 2017, a total of 18 patients were included. Follow-up data were available for 17 patients (94%). There was no primary endpoint event. Procedural success was 100%. Patients were followed for a median of 153 days (range, 59-326 days). Over that extended follow-up period, 1 case of TLR occurred 102 days after the index procedure. There was no case of definite or probable scaffold thrombosis. Conclusions. This pilot study is the first to assess feasibility and clinical outcomes associated with RMS implantation in selected STEMI patients. The results seem reassuring, with favorable short-term clinical outcomes and absence of definite/probable scaffold thrombosis, and should prompt further research including randomized controlled trials evaluating RMS implantation in the setting
更多
查看译文
关键词
absorbable metal scaffold,resorbable magnesium scaffold,STEMI,BRS,bioresorbable scaffold,Magmaris
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