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Updated: Sep 14, 2026

Identifying Coronary Artery Calcification on Non-gated Computed Tomography Scans
Published on: August 28, 2018
Clinical and angiographic factors associated with progression of coronary artery disease
Insights
Progression of coronary atherosclerosis is predicted by time between angiograms, unstable angina, high extent score, and younger age. Young patients with high extent scores show significantly higher progression rates.
Area of Science:
- Cardiology
- Vascular Biology
- Medical Imaging
Background:
- Coronary atherosclerosis is a progressive disease.
- Understanding predictors of progression is crucial for patient management.
Purpose of the Study:
- To identify clinical and angiographic factors associated with the progression of coronary atherosclerosis.
- To develop a risk stratification model for coronary artery disease progression.
Main Methods:
- Retrospective study of 313 medically treated patients with two coronary arteriograms.
- Analysis of clinical data and conventional angiographic features.
- Development of an extent score based on coronary segment narrowings.
- Multivariate logistic regression to identify independent predictors of progression.
Main Results:
- Independent predictors of progression: interval between studies, unstable angina, high extent score, and young age.
- Patients aged 50 or younger with an extent score of 4+ had 80-90% progression probability.
- Control group had a 50% progression probability.
Conclusions:
- Clinical and angiographic factors can predict coronary atherosclerosis progression.
- A risk stratification tool can be developed using identified predictors.
- Younger patients with significant coronary disease burden are at higher risk.
Abstract:
To characterize the clinical and angiographic factors associated with progression of coronary atherosclerosis, 313 consecutive medically treated patients who had had two coronary arteriograms 3 to 119 months (mean 39 +/- 25) apart were studied. One hundred eighty-one patients underwent recatheterization for stable angina, 52 for unstable angina and 80 for various other reasons. In addition to the conventional angiographic features present at the first angiographic study (number of diseased vessels 1.5 +/- 0.8, ejection fraction 59 +/- 11%), an extent score was defined based on the number of coronary segments with 5 to 75% narrowings from a 15 segment coding system. Multivariate logistic regression identified four independent predictors of progression of coronary artery disease: the interval between studies (p less than 0.0001), unstable angina (p less than 0.0001), a high extent score (p = 0.0001) and young age (p = 0.0026). In a subset of 74 patients aged 50 years or younger with, at the time of the first evaluation, an extent score of 4 or more, the probability of progression between 2 and 4 years and after 4 years was, respectively, 80 and 90% compared with 50% for the other patients. Risk stratification for progression of coronary artery disease can thus be obtained.
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