谷歌浏览器插件
订阅小程序
在清言上使用

Usefulness of Thoracic Aortic Calcium to Predict 1-Year Mortality after Transcatheter Aortic Valve Implantation.

˜The œAmerican journal of cardiology(2021)

引用 3|浏览26
暂无评分
摘要
In patients who underwent transcatheter aortic valve implantation (TAVI), vascular disease is associated with increased risk of mortality. Thoracic aortic calcification (TAC), an objective surrogate of vascular disease, could be a predictor of mortality after TAVI. We aimed to analyze the association between TAC burden and 1-year all-cause mortality in patients who underwent TAVI in a US population. From July 2015 through July 2017, a retrospective review of TAVI procedures was performed at Baylor Scott & White-The Heart Hospital, Plano, Texas. Patients were analyzed for comorbidities, cardiac risk factors, and 30-day and 1-year all-cause mortality. Restricted cubic splines analysis was used to define low, moderate, and high TAC categories. The association between TAC and survival was evaluated using unadjusted and adjusted Cox models. A total of 431 TAVI procedures were performed, of which TAC was measured in 374 (81%) patients. Median (interquartile range) age was 82 (77, 87) years, and 51% were male. Median (interquartile range) STS PROM was 5.6 (4.1, 8.2) %. Overall 30-day and 1-year all-cause mortality was 1% and 10%, respectively. TAC was categorized as low (<1.6 cm(3)), moderate (1.6 to 2.9 cm(3)), and high (>2.9 cm(3)). At 1 year, all-cause mortality was 16% in patients with high TAC compared with 6% in the low and moderate TAC categories (p = 0.008). Unadjusted and adjusted Cox regression analysis showed a significant increase in mortality for patients with high TAC compared with low TAC (hazard ratio 2.98, 95% confidence interval [1.34-6.63]), but not significant compared with moderate TAC group. TAC is a predictor of late mortality after TAVI. In conclusion, adding TAC to preoperative evaluation may provide an objective, reproducible, and potentially widely available tool that can help in shared decision-making. (C) 2020 Elsevier Inc. All rights reserved.
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