Aortic arch calcification detectable on chest X-ray is a strong independent predictor of cardiovascular events beyond traditional risk factors
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Updated: Jun 17, 2026

Identifying Coronary Artery Calcification on Non-gated Computed Tomography Scans
Published on: August 28, 2018
Katsuya Iijima1, Hiroko Hashimoto, Masayoshi Hashimoto
1Department of Geriatric Medicine, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8655, Japan. katsu-tky@umin.ac.jp
Insights
Grading aortic arch calcification (AAC) on chest X-rays effectively predicts new cardiovascular events. This simple assessment offers valuable risk stratification beyond traditional factors for managing atherosclerotic disease.
Area of Science:
- Cardiovascular Medicine
- Radiology
- Preventive Cardiology
Background:
- Arterial calcification complicates hemodynamic management.
- Previous studies assessed aortic calcification presence/absence, not extent.
- The predictive value of graded aortic arch calcification (AAC) for cardiovascular (CV) events requires evaluation.
Purpose of the Study:
- To evaluate the validity of grading aortic arch calcification (AAC) on chest X-rays for predicting new CV events.
- To compare the predictive power of AAC grading against traditional risk factors and endothelial dysfunction.
Main Methods:
- Retrospective review of chest X-rays from 239 asymptomatic outpatients (1994-2000).
- AAC extent graded 0-3; 209 patients completed follow-up (mean 69 months).
- Multivariate Cox-proportional hazards analyses and Kaplan-Meier analysis used.
Main Results:
- Higher AAC grades (2-3) correlated with increased CV event incidence (p<0.01).
- AAC grade significantly predicted CV events (HR 2.49-2.56, p<0.01-0.01).
- AAC predictive power exceeded renal dysfunction and flow-mediated dilation (FMD).
Conclusions:
- Chest X-ray detectable AAC is a strong, independent predictor of CV events.
- AAC assessment provides crucial risk stratification for atherosclerotic disease management.
- This method is valuable even in patients without chronic kidney disease (CKD).
Objectives:
Arterial calcification makes the management of hemodynamics more difficult. Some reports have previously shown that simple assessment of aortic calcification using plain radiography is associated with cardiovascular (CV) events; however, these studies simply assessed whether aortic calcification was present or absent only, without considering its extent. Here, we evaluated validity of grading aortic arch calcification (AAC) to predict new CV events.
Methods And Results:
We retrospectively reviewed chest X-rays in 239 asymptomatic out-patients who underwent measurement of endothelial function at the 1994-2000 without past history of CV events. The extent of AAC was divided into four grades (0-3). Among these subjects, the follow-up of CV events in 209 patients was completed. At baseline, AAC grade was positively related to age, pulse pressure, diabetes and renal dysfunction. Impairment of endothelial function, as determined by flow-mediated dilation (FMD), was also correlated to increasing AAC grade. Fifty-seven CV events in total occurred during a mean follow-up period of 69+/-45 months. With multivariate adjustment, Kaplan-Meier analysis showed that the incidence was significantly higher in patients with higher AAC grade (grades 2 and 3) than in those with grade 0 or 1 (p<0.01, log-rank test). Two kinds of multivariate Cox-proportional hazards analyses showed the predictive values of AAC grade were significant (hazard ratio, 2.49; p=0.01, 2.56; p<0.01, respectively), and the predictive power was superior to that of renal dysfunction or FMD. In addition, the prediction was valuable even in patients without CKD.
Conclusions:
AAC detectable on chest X-ray is a strong independent predictor of CV events beyond traditional risk factors including endothelial dysfunction. Risk stratification by assessment of AAC may provide important information for management of atherosclerotic disease.
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