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Updated: May 27, 2026

Identifying Coronary Artery Calcification on Non-gated Computed Tomography Scans
Published on: August 28, 2018
Eosinophil count is positively correlated with coronary artery calcification
Muhei Tanaka1, Michiaki Fukui, Ki-ichiro Tomiyasu
1Department of Endocrinology and Metabolism, Kyoto Prefectural University of Medicine, Graduate School of Medical Science, Kamigyo-ku, Kyoto, Japan.
Insights
Elevated eosinophil counts are linked to coronary artery calcification (CAC) in individuals with suspected heart disease. This finding suggests eosinophils may play a role in atherosclerosis development.
Area of Science:
- Cardiology
- Immunology
- Medical Research
Background:
- Allergic disorders and elevated eosinophil counts have been suggested to associate with atherosclerosis.
- Understanding factors contributing to coronary artery calcification (CAC) is crucial for cardiovascular disease prevention.
Purpose of the Study:
- To investigate the relationship between peripheral eosinophil count and coronary artery calcification (CAC).
Main Methods:
- A cross-sectional study involving 1363 participants with suspected coronary heart disease (CHD).
- CAC score was determined using multislice CT.
- Peripheral eosinophil count and cardiovascular risk factors were analyzed.
Main Results:
- Eosinophil count showed a positive correlation with CAC (r=0.165, P<0.0001).
- Age, sex, hypertension, diabetes mellitus (DM), and estimated glomerular filtration rate (eGFR) were also associated with CAC.
- Eosinophil count was identified as an independent determinant of CAC.
Conclusions:
- Peripheral eosinophil count is positively correlated with CAC in patients with suspected CHD.
- Eosinophil count may serve as a potential biomarker for atherosclerosis in this population.
Abstract:
Recent studies suggested that allergic disorders and increased eosinophil count were associated with atherosclerosis. The purpose of this study was to assess the relationship between eosinophil count and coronary artery calcification (CAC). We performed a cross-sectional study in 1363 consecutive participants with clinical suspicion of coronary heart disease (CHD). We evaluated the relationships between CAC score determined by multislice CT and peripheral eosinophil count as well as major cardiovascular risk factors, including age, body mass index, smoking status, hypertension, dyslipidemia, diabetes mellitus (DM), high-sensitivity C-reactive protein and estimated glomerular filtration rate (eGFR). Sex (P=0.0004), hypertension (P=0.0002), dyslipidemia (P=0.0004) and DM (P=0.0061) were associated with log(CAC+1), respectively. Positive correlations were found between log(CAC+1), and age (r=0.325, P<0.0001) and eosinophil count (r=0.165, P<0.0001). Negative correlations were found between log(CAC+1) and eGFR (r=-0.166, P<0.0001). Multivariate linear regression analysis demonstrated that age (β=0.314, P<0.0001), sex (β=0.124, P<0.0001), hypertension (β=0.084, P=0.0008), DM (β=0.108, P<0.0001), eGFR (β=-0.079, P=0.0021) and eosinophil count (β=0.147, P<0.0001) were independent determinants of log(CAC+1). In conclusion, eosinophil count correlated positively with CAC in participants with clinical suspicion of CHD.
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