ISSN 0975-3583
 

Journal of Cardiovascular Disease Research



    A STUDY OF RELATIONSHIP BETWEEN EPICARDIAL ADIPOSE TISSUE THICKNESSES BY COMPUTED TOMOGRAPHY WITH THE SEVERITY OF CORONARY ARTERY DISEASE


    Dr. Kiran Kumar Kanjerla, Dr. Jagadeesh Reddy Kolli, Dr. Jawahar Shaik
    JCDR. 2023: 1294-1302

    Abstract

    The myocardial and visceral layer of the pericardium is encircled by visceral adipose tissue known as epicardial adipose tissue (EAT). In some conditions, EAT may produce inflammatory mediators via paracrine or endocrine pathways. This study is an attempt to describe the clinical and demographic profile of the subjects and assess the relation between epicardial fat thickness and with extent and severity of CAD by Syntax score. Methods: Diagnosis of CAD was done according to the latest criteria with Clinical features, ECG changes, 2-ECHO, Cardiac biomarkers, and Coronary Angiography findings. Suggestive of ACS. Coronary angiography was performed in the catheterization laboratory (Siemens AXIOM-Artis, Munich, Germany), equipped with quantitative coronary analysis software. Coronary angiograms were interpreted visually and were analyzed in two orthogonal views and scored by a computer-assisted SYNTAX scoring algorithm. Results: out of n=60 patients, n=17 patients had a Syntax score less than 22, n=18 patients had a Syntax score of 23 to 32, and n=25 patients had a Syntax score above 32. Epicardial adipose tissue thickness was 5.9 ±0.2mm in patients with a syntax score less than 23, 6.08±0.1mm in patients with a syntax score of 23-32, and 9.66 ±0.33mm in patients with a syntax score of 33 and above. Cut-off EAT value to predict significant CAD was identified as 6.25 mm (ROC analysis 0.046 p=0.00, 95% CI: 0.864- 1.000). The sensitivity and specificity of EAT cut-off 6.25mm to predict significant CAD were 100% and 70% respectively. Conclusion: Epicardial adipose tissue thickness was significantly higher in patients with a syntax score of 33 and above when compared with patients having a syntax score of less than 33. EAT cut-off value to predict significant CAD was identified as 6.25 mm (ROC analysis 0.046 p=0.00, 95% CI: 0.864 - 1.000). The sensitivity and specificity of EAT cut-off 6.25mm to predict significant CAD were 100% and 70% respectively

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    Volume & Issue

    Volume 14 Issue 2

    Keywords