Suppr超能文献

通过冠状动脉钙评分 CT 测量心外膜脂肪组织的位置对阻塞性冠状动脉疾病的影响。

Impact of location of epicardial adipose tissue, measured by coronary artery calcium-scoring computed tomography on obstructive coronary artery disease.

机构信息

Department of Radiology, Section of Thoracic and Circulation Imaging, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan.

出版信息

Am J Cardiol. 2013 Oct 1;112(7):943-9. doi: 10.1016/j.amjcard.2013.05.022. Epub 2013 Jun 27.

Abstract

Epicardial adipose tissue (EAT) is considered to play a role in the pathogenesis of coronary atherosclerosis. However, whether total EAT volume or location-specific EAT thickness may be a better predictor of obstructive coronary artery disease (CAD) is inconclusive. We investigated whether the total volume or location-specific thickness of EAT measured on computed tomography (CT) could be a useful marker of CAD on top of clinical risk factors and Agatston score. Two hundred eight consecutive subjects with clinical suspicion of CAD receiving coronary arterial calcium (CAC)-scoring CT and CT coronary angiography were retrospectively divided into 2 groups: an obstructive CAD group (n = 97) and a nonobstructive CAD group (n = 111). Total EAT volume and EAT thicknesses at different locations were measured on CAC-scoring CT. Left atrioventricular groove (AVG) EAT thickness was the sole EAT measurement that showed association with increasing number of vessels exhibiting ≥50% stenosis (p for trend <0.001). Logistic regression showed that left AVG EAT thickness was the most important EAT predictor of obstructive CAD (odds ratio 1.16, 95% confidence interval 1.04 to 1.29, p = 0.006; optimal threshold ≥15 mm, odds ratio 4.62, 95% confidence interval 2.24 to 9.56, p <0.001). Adding left AVG EAT thickness on top of clinical risk factors plus Agatston score improved prediction of obstructive CAD (area under the curve from 0.848 to 0.912, p = 0.002). In conclusion, excessive left AVG EAT adiposity is an important risk factor for obstructive CAD, independent of clinical risk factors and Agatston score. However, further trials are needed in investigation of combined assessment of location-specific EAT thickness and Agatston score on CAC scan as to whether this biomarker could improve CAD risk stratification in the general population.

摘要

心外膜脂肪组织(EAT)被认为在冠状动脉粥样硬化的发病机制中起作用。然而,总 EAT 体积或特定部位 EAT 厚度是否可以更好地预测阻塞性冠状动脉疾病(CAD)尚无定论。我们研究了 CT 上测量的 EAT 总量或特定部位厚度是否可以在临床危险因素和 Agatston 评分的基础上成为 CAD 的有用标志物。

回顾性分析了 208 例临床怀疑 CAD 并接受冠状动脉钙(CAC)评分 CT 和 CT 冠状动脉造影的连续患者,将其分为 2 组:阻塞性 CAD 组(n=97)和非阻塞性 CAD 组(n=111)。在 CAC 评分 CT 上测量总 EAT 体积和不同部位的 EAT 厚度。左房室沟(AVG)EAT 厚度是唯一与显示≥50%狭窄的血管数量增加相关的 EAT 测量值(趋势 p<0.001)。

Logistic 回归显示,左 AVG EAT 厚度是阻塞性 CAD 的最重要 EAT 预测因子(优势比 1.16,95%置信区间 1.04 至 1.29,p=0.006;最佳阈值≥15mm,优势比 4.62,95%置信区间 2.24 至 9.56,p<0.001)。在临床危险因素加 Agatston 评分的基础上增加左 AVG EAT 厚度可改善阻塞性 CAD 的预测(曲线下面积从 0.848 增加到 0.912,p=0.002)。

总之,左 AVG EAT 脂肪过多是阻塞性 CAD 的重要危险因素,独立于临床危险因素和 Agatston 评分。然而,需要进一步的试验来研究在 CAC 扫描中联合评估特定部位 EAT 厚度和 Agatston 评分,以确定该生物标志物是否可以改善一般人群的 CAD 风险分层。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验