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Updated: Jun 1, 2026

Identifying Coronary Artery Calcification on Non-gated Computed Tomography Scans
Published on: August 28, 2018
Coronary calcification detected by electron-beam computed tomography and myocardial infarction. The Rotterdam
R Vliegenthart1, M Oudkerk, B Song
1Department of Epidemiology & Biostatistics, Erasmus Medical Center, Rotterdam, The Netherlands.
Insights
Higher coronary calcification strongly predicts myocardial infarction risk, even in older adults. This study quantifies the graded association between coronary artery calcium scores and heart attack incidence.
Area of Science:
- Cardiology
- Preventive Medicine
- Medical Imaging
Background:
- Limited data exist on the relationship between coronary calcification and coronary events in the general population.
- The Rotterdam Coronary Calcification Study aimed to address this gap.
Purpose of the Study:
- To examine the association between coronary calcification and myocardial infarction.
- To investigate this relationship across different age groups, including older adults.
Main Methods:
- Cross-sectional analysis of data from the prospective Rotterdam Coronary Calcification Study.
- Electron-beam computed tomography (CT) scanning used to detect and quantify coronary calcification using Agatston's method.
- Calcium scores analyzed in 2,013 participants (mean age 71 years).
Main Results:
- A strong, graded association was observed between coronary calcification levels and myocardial infarction.
- Subjects in the highest calcium score category (above 2,000) had significantly higher odds of myocardial infarction compared to those with scores of 0-100 (OR 7.7 for men, 6.7 for women).
- This association persisted after adjusting for cardiovascular risk factors and was evident across all age subgroups, including those 70 years and older.
Conclusions:
- Coronary calcification is a strong predictor of myocardial infarction.
- The association between coronary calcification and myocardial infarction is graded and remains significant even at advanced ages.
Aims:
Available data are insufficient to determine the relation between coronary calcification and coronary events in the general population. We cross-sectionally examined the association between coronary calcification and myocardial infarction in the prospective Rotterdam Coronary Calcification Study.
Methods And Results:
From 1997 onwards, subjects were invited for electron-beam computed tomography scanning to detect coronary calcification. The study was embedded in the population-based Rotterdam Study. Calcifications were quantified in a calcium score according to Agatston's method. Calcium scores were available for 2,013 participants with a mean age of 71 years (standard deviation, 5.7 years). A history of myocardial infarction prior to scanning was present in 229 subjects. Compared to subjects in the lowest calcium score category (0-100), the age-adjusted odds ratio for myocardial infarction in subjects in the highest calcium score category (above 2,000) was 7.7 (95% confidence interval, 4.1-14.5) for men, and 6.7 (95% confidence interval, 2.4-19.1) for women. Additional adjustment for cardiovascular risk factors only slightly altered the estimates. The association was observed across all age subgroups, i.e. also in subjects of 70 years and older.
Conclusion:
A strong and graded association was found between coronary calcification and myocardial infarction. The association remained at high ages.
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