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ID 112879
Title Alternative
左前下行枝冠動脈周囲の局所心外膜脂肪厚は簡便な冠動脈疾患の予測因子である : フラミンガムリスクスコアと組み合わせた新しい予測モデル
Author
Gulinu, Maimaituxun Tokushima University
Shimabukuro, Michio Fukushima Medical University KAKEN Search Researchers
Hirata, Yukina Tokushima University
Keywords
Coronary artery disease
Epicardial adipose tissue
Framingham risk score
Content Type
Thesis or Dissertation
Description
Background: Compared with global cardiac adiposity, the local accumulation of fat surrounding coronary arteries might have a more direct impact on coronary artery disease (CAD). Here, we compared the local epicardial adipose tissue (EAT) thickness and global cardiac adiposity volumes for predicting CAD.

Methods and Results: A total of 197 consecutive subjects underwent 320-slice multi-detector computed tomography coronary angiography and were segregated into CAD (≥1 coronary artery branch stenosis ≥50%) and non-CAD groups. EAT thickness was measured at the right coronary artery (EATRCA), the left anterior descending artery (EATLAD), and the left circumflex artery (EATLCX). Although EATRCA and EATLCX were similar between the 2 groups, EATLAD was larger in the CAD group than in the non-CAD group (5.45±2.16 mm vs. 6.86±2.19 mm, P<0.001). EATLAD, after correcting for confounding factors, was strongly associated with CAD (r=0.276, P<0.001) and Gensini score (r=0.239, P<0.001). On multiple regression analysis, Framingham risk score combined with EATLAD was a strong predictor of CAD (adjusted R2=0.121; P<0.001).

Conclusions: The local fat thickness surrounding the LAD is a simple and useful surrogate marker for estimating the presence, severity, and extent of CAD, independent of classical cardiovascular risk factors.
Journal Title
Circulation Journal
ISSN
13474820
13469843
NCID
AA12022334
AA11591968
Publisher
The Japanese Circulation Society
Volume
82
Issue
5
Start Page
1369
End Page
1378
Published Date
2018-04-25
Remark
内容要旨・審査要旨・論文本文の公開
本論文は, 著者Gulinu Maimaituxunの学位論文として提出され, 学位審査・授与の対象となっている。
EDB ID
DOI (Published Version)
URL ( Publisher's Version )
FullText File
language
eng
TextVersion
ETD
MEXT report number
甲第3217号
Diploma Number
甲医第1385号
Granted Date
2018-09-27
Degree Name
Doctor of Medical Science
Grantor
Tokushima University
departments
Medical Sciences
University Hospital