Is Surgical Intervention the Optimal Therapy for the Treatment of Aortic Valve Stenosis for Patients With Intermediate Society of Thoracic Surgeons Risk Score?

The Annals of Thoracic Surgery(2017)

引用 5|浏览4
暂无评分
摘要
Background. Patients at intermediate risk (IR) according to The Society of Thoracic Surgeons risk score are today frequently oriented toward the transfemoral aortic valve replacement (TAVR) option. Our goal was to evaluate the best treatment strategies for IR patients with severe aortic stenosis. Methods. Of a consecutive series of 1,144 surgical aortic valve replacements (AVRs) performed in our institution between 2008 and 2014, we reviewed the early and late outcomes of two different groups: a low-risk (LR) group of 470 patients, and an IR group of 620. We eliminated from the analysis 54 high-risk patients who were currently candidates for TAVR. All patients underwent surgical AVR with or without concomitant coronary artery bypass grafting. Social Security database interrogation provided long-term information. Results. The early mortality rate (30 days) between LR and IR patients was similar (1.70% vs 2.74%, p = 0.25) and both lower than predicted mortality rates. However, cumulative 5-year survival was significantly higher in LR patients (86.3%) than in IR patients (75.4%; p = 0.0007 by log-rank test), although excellent in IR group. Comparing IR survivors and nonsurvivors, ages at operation were 69.5 +/- 12.7 years for survivors vs 75.4 +/- 9.6 years for those experiencing late deaths (p = 0.002). Risk factors for late deaths after multivariate analysis were age, hemodialysis, and chronic lung disease. Conclusions. Most IR patients today should undergo surgical AVR, but because of survival rates combined with still unavailable late structural deterioration rates in TAVR valves, patients in the IR group with high Society of Thoracic Surgeons scores and known risk factors may be better served with TAVR as data regarding late percutaneous valve function accrue. (C) 2017 by The Society of Thoracic Surgeons
更多
查看译文
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