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Relationship between quantitative epicardial adipose tissue based on coronary computed tomography angiography and coronary slow flow

Authors :
Jing Tong
Gui-Guang Bei
Li-Bo Zhang
Yu Sun
Miao Qi
Ben-Qiang Yang
Source :
BMC Cardiovascular Disorders, Vol 23, Iss 1, Pp 1-8 (2023)
Publication Year :
2023
Publisher :
BMC, 2023.

Abstract

Abstract Background The purpose of this study was to explore the relationship between quantitative epicardial adipose tissue (EAT) based on coronary computed tomography angiography (CCTA) and coronary slow flow (CSF). Methods A total of 85 patients with 0.05). Multivariate logistic regression analysis showed that EAT volume was independently related to CSF [odds ratio (OR) = 4.82, 95% confidence interval (CI): 3.06–7.27, P

Details

Language :
English
ISSN :
14712261
Volume :
23
Issue :
1
Database :
Directory of Open Access Journals
Journal :
BMC Cardiovascular Disorders
Publication Type :
Academic Journal
Accession number :
edsdoj.b661d4ab442943ef85a01f5aef786b25
Document Type :
article
Full Text :
https://doi.org/10.1186/s12872-023-03541-z