Prognostic Value of Pericoronary Adipose Tissue Attenuation After Transcatheter Aortic Valve Replacement in Patients With Aortic Stenosis and Obstructive Coronary Artery Disease

经导管主动脉瓣置换术后冠状动脉周围脂肪组织衰减对主动脉瓣狭窄合并阻塞性冠状动脉疾病患者的预后价值

阅读:1

Abstract

BACKGROUND: This study aimed to examine the prognostic value of pericoronary adipose tissue (PCAT) attenuation at three months after transcatheter aortic valve replacement (TAVR) in patients with aortic stenosis (AS) and obstructive coronary artery disease (CAD). METHODS: This retrospective study included 226 patients with both obstructive CAD and AS who underwent TAVR. PCAT attenuation was measured three months post-TAVR using coronary computed tomography angiogram (CCTA) images. Univariable and multivariable Cox regression analyses were conducted to evaluate the association between PCAT attenuation and major adverse cardiac events (MACEs). RESULTS: Of the 226 patients, 37 experienced MACEs during a median follow-up period of 1.5 years. High PCAT attenuation was significantly associated with MACEs (-65.3 Hounsfield units (HU) vs. -71.6 HU; p < 0.01). The optimal PCAT attenuation threshold of -67.5 HU, determined by receiver operating characteristic (ROC) curve analysis, showed 84% sensitivity and 75% specificity (area under the curve (AUC) = 0.88) for predicting MACEs. Multivariable Cox regression confirmed that higher PCAT attenuation was independently associated with an increased risk of MACEs (hazard ratio (HR) = 1.83, 95% confidence interval (CI): 1.44-2.32; p < 0.01). Inclusion of PCAT attenuation increased the C-index from 0.41 to 0.82 (p = 0.01) and the net reclassification improvement (NRI) by 0.55 (95% CI: 0.34-0.78; p = 0.01). CONCLUSIONS: PCAT attenuation was independently associated with the risk of MACEs in post-TAVR patients with obstructive CAD and AS, suggesting the potential utility of PCAT attenuation for risk stratification.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。