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Epicardial Fat Thickness and Free Fatty Acid Level are Predictors of Acute Ischemic Stroke with Atrial Fibrillation

BACKGROUND: Increased epicardial fat is known to be associated with the presence and chronicity of atrial fibrillation (AF). Free fatty acids (FFAs) are major components of epicardial fat; however, their potential association with AF in ischemic stroke has not been investigated. We aimed to assess t...

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Autores principales: Cho, Kyoung-Im, Kim, Bong-Joon, Cho, Sang-Hoon, Lee, Jin-Hyung, Kim, Meyung-Kug, Yoo, Bong-Goo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Society of Echocardiography 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6024837/
https://www.ncbi.nlm.nih.gov/pubmed/29971268
http://dx.doi.org/10.4250/jcvi.2018.26.e1
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author Cho, Kyoung-Im
Kim, Bong-Joon
Cho, Sang-Hoon
Lee, Jin-Hyung
Kim, Meyung-Kug
Yoo, Bong-Goo
author_facet Cho, Kyoung-Im
Kim, Bong-Joon
Cho, Sang-Hoon
Lee, Jin-Hyung
Kim, Meyung-Kug
Yoo, Bong-Goo
author_sort Cho, Kyoung-Im
collection PubMed
description BACKGROUND: Increased epicardial fat is known to be associated with the presence and chronicity of atrial fibrillation (AF). Free fatty acids (FFAs) are major components of epicardial fat; however, their potential association with AF in ischemic stroke has not been investigated. We aimed to assess the performance of echocardiographic epicardial fat thickness (EFT) and plasma FFA level in identifying patients with ischemic stroke and AF. METHODS: We enrolled a total of 214 consecutive patients (mean age, 66.8 ± 12.3 years; 39.7% women) diagnosed with acute ischemic stroke between March 2011 and June 2014. The patients were divided into two groups: ischemic stroke with AF (n = 35, 16.4%) and ischemic stroke without AF (n = 179, 83.6%). RESULTS: The ischemic stroke with AF group showed significantly higher serum FFA level (1379.7 ± 717.5 vs. 757.8 ± 520.5 uEq/L, p < 0.0001) and EFT (6.5 ± 1.2 vs. 5.3 ± 1.2 mm, p < 0.001) than the group without AF. Multivariable logistic regression analysis demonstrated that age (odds ratio [OR], 1.112), serum FFA level (OR, 1.002), and EFT (OR, 1.740) were independently associated with the ischemic stroke group with AF. EFT and FFA significantly improved the goodness-of-fit and discriminability of the simple regression model including age as a covariate (log likelihood difference, 21.35; p < 0.001; c-index difference, 17.9%; p < 0.001). CONCLUSIONS: High EFT and serum FFA level were associated with ischemic stroke in patients with AF. Echocardiographic EFT and serum FFA level can play a significant role in identifying ischemic stroke with AF.
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spelling pubmed-60248372018-07-03 Epicardial Fat Thickness and Free Fatty Acid Level are Predictors of Acute Ischemic Stroke with Atrial Fibrillation Cho, Kyoung-Im Kim, Bong-Joon Cho, Sang-Hoon Lee, Jin-Hyung Kim, Meyung-Kug Yoo, Bong-Goo J Cardiovasc Imaging Original Article BACKGROUND: Increased epicardial fat is known to be associated with the presence and chronicity of atrial fibrillation (AF). Free fatty acids (FFAs) are major components of epicardial fat; however, their potential association with AF in ischemic stroke has not been investigated. We aimed to assess the performance of echocardiographic epicardial fat thickness (EFT) and plasma FFA level in identifying patients with ischemic stroke and AF. METHODS: We enrolled a total of 214 consecutive patients (mean age, 66.8 ± 12.3 years; 39.7% women) diagnosed with acute ischemic stroke between March 2011 and June 2014. The patients were divided into two groups: ischemic stroke with AF (n = 35, 16.4%) and ischemic stroke without AF (n = 179, 83.6%). RESULTS: The ischemic stroke with AF group showed significantly higher serum FFA level (1379.7 ± 717.5 vs. 757.8 ± 520.5 uEq/L, p < 0.0001) and EFT (6.5 ± 1.2 vs. 5.3 ± 1.2 mm, p < 0.001) than the group without AF. Multivariable logistic regression analysis demonstrated that age (odds ratio [OR], 1.112), serum FFA level (OR, 1.002), and EFT (OR, 1.740) were independently associated with the ischemic stroke group with AF. EFT and FFA significantly improved the goodness-of-fit and discriminability of the simple regression model including age as a covariate (log likelihood difference, 21.35; p < 0.001; c-index difference, 17.9%; p < 0.001). CONCLUSIONS: High EFT and serum FFA level were associated with ischemic stroke in patients with AF. Echocardiographic EFT and serum FFA level can play a significant role in identifying ischemic stroke with AF. Korean Society of Echocardiography 2018-06 2018-06-12 /pmc/articles/PMC6024837/ /pubmed/29971268 http://dx.doi.org/10.4250/jcvi.2018.26.e1 Text en Copyright © 2018 Korean Society of Echocardiography https://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (https://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Cho, Kyoung-Im
Kim, Bong-Joon
Cho, Sang-Hoon
Lee, Jin-Hyung
Kim, Meyung-Kug
Yoo, Bong-Goo
Epicardial Fat Thickness and Free Fatty Acid Level are Predictors of Acute Ischemic Stroke with Atrial Fibrillation
title Epicardial Fat Thickness and Free Fatty Acid Level are Predictors of Acute Ischemic Stroke with Atrial Fibrillation
title_full Epicardial Fat Thickness and Free Fatty Acid Level are Predictors of Acute Ischemic Stroke with Atrial Fibrillation
title_fullStr Epicardial Fat Thickness and Free Fatty Acid Level are Predictors of Acute Ischemic Stroke with Atrial Fibrillation
title_full_unstemmed Epicardial Fat Thickness and Free Fatty Acid Level are Predictors of Acute Ischemic Stroke with Atrial Fibrillation
title_short Epicardial Fat Thickness and Free Fatty Acid Level are Predictors of Acute Ischemic Stroke with Atrial Fibrillation
title_sort epicardial fat thickness and free fatty acid level are predictors of acute ischemic stroke with atrial fibrillation
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6024837/
https://www.ncbi.nlm.nih.gov/pubmed/29971268
http://dx.doi.org/10.4250/jcvi.2018.26.e1
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