Literature DB >> 32298722

Associations of abdominal muscle area and density with coronary artery calcium volume and density: The multi-ethnic study of atherosclerosis.

Margaret A Crawford1, Michael H Criqui2, Nketi Forbang2, Jonathan T Unkart2, Matthew A Allison2, Britta A Larsen3.   

Abstract

BACKGROUND: Due to the opposing cardiovascular risk profiles of CAC volume and density, we tested the hypothesis that increased abdominal muscle area (AMA) and density (AMD) were significantly associated with lower coronary arterial calcium (CAC) volume and higher CAC density.
METHODS: Using data from 787 participants from the Multi-Ethnic Study of Atherosclerosis, Ancillary Body Composition Study, we analyzed abdominal and chest computed tomography (CT) scans. Abdominal scans were scored for muscle area, muscle density (attenuation) and visceral and subcutaneous fat. Chest scans were scored for CAC volume and Agatston values, which were used to derive CAC density scores.
RESULTS: The mean (SD) age and BMI of the participants was 67.8 (9.0) years and 27.9 (4.8) kg/m2, respectively. Forty-one percent were female, 46% were Caucasian, 60% had hypertension, 17% had diabetes, and 46% had dyslipidemia. AMA was positively associated with CAC volume (p < .001) and inversely associated with CAC density (p < .001). Conversely, AMD was inversely associated with CAC volume and positively associated with CAC density in minimally adjusted models (p < .001), but not significant in confounder adjusted models.
CONCLUSION: AMA and AMD had differing associations with CAC volume and density, with AMA significantly associated with a higher risk CAC profile (high volume, low density) and AMD not significantly associated with CAC volume or density. Future research needs to account for the unique components of both muscle composition and CAC.
Copyright © 2020 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Agatston score; Body composition; Cardiovascular risk; Subclinical atherosclerosis

Mesh:

Year:  2020        PMID: 32298722      PMCID: PMC7986552          DOI: 10.1016/j.metabol.2020.154230

Source DB:  PubMed          Journal:  Metabolism        ISSN: 0026-0495            Impact factor:   8.694


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