Epicardial Adipose Tissue Predicts Severe Mitral Annular Calcification in Patients Aged ≥60 Years

• Published in: Medical science monitor Vol. 26; p. e921553
• Main Authors: Argan, Onur, Avci, Eyup, Safak, Ozgen, Yildirim, Tarik
• Format: Journal Article
• Language: English
• Published: United States International Scientific Literature, Inc 10-05-2020
• Subjects: Adipose Tissue - pathology; Aged; Aged, 80 and over; Calcinosis - diagnosis; Calcinosis - physiopathology; Clinical Research; Coronary Artery Disease - complications; Echocardiography - methods; Female; Heart Defects, Congenital - complications; Heart Valve Diseases - complications; Humans; Male; Middle Aged; Mitral Valve - pathology; Pericardium - pathology; Prognosis; Risk Factors
• ISSN: 1643-3750; 1234-1010; 1643-3750
• DOI: 10.12659/MSM.921553

BACKGROUND Epicardial adipose tissue (EAT) has been shown to be associated with diabetes mellitus (DM), hypertension (HT), coronary artery calcification, and atherosclerotic disease. Mitral annular calcification (MAC) is also associated with atherosclerosis. The purpose of this study was to assess the relationship between EAT and severe MAC. MATERIAL AND METHODS The study enrolled 102 patients who had severe MAC and 107 patients who did not have MAC, as determined by echocardiographic examination. EAT was measured by transthoracic echocardiography. The parasternal long-axis view was used to measure the maximal EAT thickness. RESULTS Patients with severe MAC were older (p<0.001) and were more likely to be female (p<0.001). Epicardial adipose tissue (p=0.001) and urea (p=0.004) were also higher and eGFR was lower (p<0.001) in patients with severe MAC. EAT (OR: 15.96, CI %: 1.04 - 24.604, p<0.05), female sex, CAD, DM, eGFR, and age were independent predictors of severe MAC. The AUC for the EAT to predict severe MAC was 0.699 (95%, CI: 0.625 - 0.774, p<0.001). CONCLUSIONS Our data suggest that EAT is an independent predictor for the presence of severe MAC. Routine echocardiographic assessment of EAT is a cheap and noninvasive method for evaluating patient cardiovascular risk classification.