ArticleMedical science monitor : international medical journal of experimental and clinical research2020
Epicardial Adipose Tissue Predicts Severe Mitral Annular Calcification in Patients Aged ≥60 Years.
Article in Medical science monitor : international medical journal of experimental and clinical research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
4 citing papers in PubMed, 4 citations in OpenAlex.
- The association of epicardial adipose tissue thickness and human neutrophil lipocalin with mitral annular calcification.American heart journal plus : cardiology research and practice · 2026Article
- Increased Amounts of Epicardial Fat Tissue Are Not Associated With Mitral Annular Calcification in Patients With Severe Aortic Stenosis Planned for Transcatheter Aortic Valve Implantation.Structural heart : the journal of the Heart Team · 2025Article
- Mitral Annular Calcification-Related Valvular Disease: A Challenging Entity.Journal of clinical medicine · 2024Review
- Association of Inflammatory and Metabolic Biomarkers with Mitral Annular Calcification in Type 2 Diabetes Patients.Journal of personalized medicine · 2022Article
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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.
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