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Epicardial Adipose Tissue Thickness Is Related to Plaque Composition in Coronary Artery Disease
(1) Background: Currently, limited data are available regarding the relationship between epicardial fat and plaque composition. The aim of this study was to assess the relationship between visceral fat surrounding the heart and the lipid core burden in patients with coronary artery diseases; (2) Met...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9689801/ https://www.ncbi.nlm.nih.gov/pubmed/36428896 http://dx.doi.org/10.3390/diagnostics12112836 |
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author | Park, Soon Sang Jung, Jisung Mintz, Gary S. Jin, Uram Park, Jin-Sun Park, Bumhee Shin, Han-Bit Seo, Kyoung-Woo Yang, Hyoung-Mo Lim, Hong-Seok Choi, Byoung-Joo Yoon, Myeong-Ho Shin, Joon-Han Tahk, Seung-Jea Choi, So-Yeon |
author_facet | Park, Soon Sang Jung, Jisung Mintz, Gary S. Jin, Uram Park, Jin-Sun Park, Bumhee Shin, Han-Bit Seo, Kyoung-Woo Yang, Hyoung-Mo Lim, Hong-Seok Choi, Byoung-Joo Yoon, Myeong-Ho Shin, Joon-Han Tahk, Seung-Jea Choi, So-Yeon |
author_sort | Park, Soon Sang |
collection | PubMed |
description | (1) Background: Currently, limited data are available regarding the relationship between epicardial fat and plaque composition. The aim of this study was to assess the relationship between visceral fat surrounding the heart and the lipid core burden in patients with coronary artery diseases; (2) Methods: Overall, 331 patients undergoing coronary angiography with combined near-infrared spectroscopy and intravascular ultrasound imaging were evaluated for epicardial adipose tissue (EAT) thickness using transthoracic echocardiography. Patients were divided into thick EAT and thin EAT groups according to the median value; (3) Results: There was a positive correlation between EAT thickness and maxLCBI(4mm), and maxLCBI(4mm) was significantly higher in the thick EAT group compared to the thin EAT group (437 vs. 293, p < 0.001). EAT thickness was an independent predictor of maxLCBI(4mm) ≥ 400 along with age, low-density lipoprotein-cholesterol level, acute coronary syndrome presentation, and plaque burden in a multiple linear regression model. Receiver operating characteristic curve analysis showed that EAT thickness was a predictor for maxLCBI(4mm) ≥ 400; (4) Conclusions: In the present study, EAT thickness is related to the lipid core burden assessed by NIRS-IVUS in patients with CAD which suggests that EAT may affect the stability of the plaques in coronary arteries. |
format | Online Article Text |
id | pubmed-9689801 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-96898012022-11-25 Epicardial Adipose Tissue Thickness Is Related to Plaque Composition in Coronary Artery Disease Park, Soon Sang Jung, Jisung Mintz, Gary S. Jin, Uram Park, Jin-Sun Park, Bumhee Shin, Han-Bit Seo, Kyoung-Woo Yang, Hyoung-Mo Lim, Hong-Seok Choi, Byoung-Joo Yoon, Myeong-Ho Shin, Joon-Han Tahk, Seung-Jea Choi, So-Yeon Diagnostics (Basel) Article (1) Background: Currently, limited data are available regarding the relationship between epicardial fat and plaque composition. The aim of this study was to assess the relationship between visceral fat surrounding the heart and the lipid core burden in patients with coronary artery diseases; (2) Methods: Overall, 331 patients undergoing coronary angiography with combined near-infrared spectroscopy and intravascular ultrasound imaging were evaluated for epicardial adipose tissue (EAT) thickness using transthoracic echocardiography. Patients were divided into thick EAT and thin EAT groups according to the median value; (3) Results: There was a positive correlation between EAT thickness and maxLCBI(4mm), and maxLCBI(4mm) was significantly higher in the thick EAT group compared to the thin EAT group (437 vs. 293, p < 0.001). EAT thickness was an independent predictor of maxLCBI(4mm) ≥ 400 along with age, low-density lipoprotein-cholesterol level, acute coronary syndrome presentation, and plaque burden in a multiple linear regression model. Receiver operating characteristic curve analysis showed that EAT thickness was a predictor for maxLCBI(4mm) ≥ 400; (4) Conclusions: In the present study, EAT thickness is related to the lipid core burden assessed by NIRS-IVUS in patients with CAD which suggests that EAT may affect the stability of the plaques in coronary arteries. MDPI 2022-11-17 /pmc/articles/PMC9689801/ /pubmed/36428896 http://dx.doi.org/10.3390/diagnostics12112836 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Park, Soon Sang Jung, Jisung Mintz, Gary S. Jin, Uram Park, Jin-Sun Park, Bumhee Shin, Han-Bit Seo, Kyoung-Woo Yang, Hyoung-Mo Lim, Hong-Seok Choi, Byoung-Joo Yoon, Myeong-Ho Shin, Joon-Han Tahk, Seung-Jea Choi, So-Yeon Epicardial Adipose Tissue Thickness Is Related to Plaque Composition in Coronary Artery Disease |
title | Epicardial Adipose Tissue Thickness Is Related to Plaque Composition in Coronary Artery Disease |
title_full | Epicardial Adipose Tissue Thickness Is Related to Plaque Composition in Coronary Artery Disease |
title_fullStr | Epicardial Adipose Tissue Thickness Is Related to Plaque Composition in Coronary Artery Disease |
title_full_unstemmed | Epicardial Adipose Tissue Thickness Is Related to Plaque Composition in Coronary Artery Disease |
title_short | Epicardial Adipose Tissue Thickness Is Related to Plaque Composition in Coronary Artery Disease |
title_sort | epicardial adipose tissue thickness is related to plaque composition in coronary artery disease |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9689801/ https://www.ncbi.nlm.nih.gov/pubmed/36428896 http://dx.doi.org/10.3390/diagnostics12112836 |
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