Epicardial adipose tissue thickness is associated with myocardial infarction and impaired coronary perfusion

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2015Author
Tanındı, AslıKocaman, Sinan Altan
Erkan, Aycan Fahri
Uğurlu, Murat
Alhan, Aslıhan
Töre, Hasan Fehmi
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Tanindi, A., Kocaman, S. A., Erkan, A. F., Ugurlu, M., Alhan, A., & Tore, H. F. (2015). Epicardial adipose tissue thickness is associated with myocardial infarction and impaired coronary perfusion. Anadolu Kardiyoloji Dergisi/the Anatolian Journal of Cardiology, 15(3), 224–231. https://doi.org/10.5152/akd.2014.5277Abstract
Objective: Epicardial adipose tissue (EAT) is associated with the presence, severity and extent of atherosclerotic coronary artery disease (CAD)
in addition to subclinical atherosclerosis. We investigated if EAT thickness is related to acute myocardial infarction in patients with CAD. We
also searched for the association between EAT thickness and objective coronary flow and myocardial perfusion parameters such as
Thrombolysis in Myocardial Infarction Frame count (TFC) and myocardial blush grade (MBG).
Methods: Two-hundred consecutive patients with stable angina pectoris or acute coronary syndrome who were admitted to Ufuk University Faculty
of Medicine, Dr Rıdvan Ege Hospital cardiology department were included in this observational, cross-sectional study. EAT thickness was evaluated
by conventional transthoracic echocardiography. Coronary angiography was performed to determine the coronary involvement and perfusion.
Results: Mean EAT thicknesses were 5.4±1.9 mm, 6.3±1.8 mm, and 8.5±1.4 mm in the stable angina pectoris (SAP), unstable angina pectoris
(USAP) and acute myocardial infarction groups, respectively (p<0.001). With increasing EAT thickness, TFC increases whereas mean MBG
values decrease (for EAT thickness <5 mm, 5-7 mm, >7 mm; mean TFC: 21.6±2.2, 25.3±3.3 and 35.2±7.7; and MBG values: 2.98±0.14, 2.83±0.57 and
1.7±1.16, respectively; both p<0.001). Cut-off EAT value to predict AMI was identified as 7.8 mm (ROC analysis AUC:0.876; p<0.001, 95% CI:0.822-
0.927). Sensitivity and specificity of EAT cut-off value 7.8 mm to predict AMI were 81.8% and 82.5% respectively.
Conclusion: Increased EAT is associated with AMI and it may prove beneficial for choosing patients who would need more aggressive approach
in terms of risk reduction using echocardiography which is a relatively cheap and readily available tool as a follow-up parameter.