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Updated: Jun 28, 2026

Identifying Coronary Artery Calcification on Non-gated Computed Tomography Scans
Published on: August 28, 2018
Is chronic kidney disease associated with coronary artery stenosis or calcification as assessed by multi-detector row
Ryoko Mitsutake1, Shin-ichiro Miura, Yuhei Shiga
1Department of Cardiology, Fukuoka University School of Medicine.
Insights
Chronic kidney disease (CKD) is linked to more severe coronary artery calcification (CAC) and coronary artery disease (CAD). Managing CKD alongside traditional risk factors is crucial for preventing CAD, especially when using MDCT screening.
Area of Science:
- Cardiology
- Nephrology
- Radiology
Background:
- Coronary artery calcification (CAC) scoring via MDCT predicts coronary artery disease (CAD).
- Chronic kidney disease (CKD) is an established CAD risk factor.
- The relationship between CKD and the severity of coronary artery stenosis or CAC is not well understood.
Purpose of the Study:
- To investigate the association between chronic kidney disease (CKD) and coronary artery calcification (CAC) severity.
- To explore the link between CKD and the extent of coronary artery stenosis.
Main Methods:
- 313 patients underwent MDCT angiography for CAC scoring and stenosis assessment.
- Clinical and laboratory parameters, including eGFR, were analyzed.
- CKD was defined as eGFR <60 mL/min/1.73 m(2).
Main Results:
- Lower eGFR levels were observed in patients with 3-vessel disease (3-VD).
- A high CAC score was significantly associated with age, number of diseased vessels, hypertension, and CKD.
- Multivariate analysis confirmed CKD as a significant correlate of high CAC score.
Conclusions:
- CKD may exacerbate the severity of CAD and the progression of CAC.
- Therapeutic interventions targeting CKD are recommended for CAD prevention alongside conventional risk factor management.
- MDCT screening highlights the importance of considering CKD in CAD risk assessment.
Background:
The coronary artery calcification (CAC) score as determined by multi-detector row computed tomography (MDCT) is known to predict coronary artery disease (CAD). Chronic kidney disease (CKD) is also known to be a risk factor for CAD. Little is known about the relationship between CKD and the severity of coronary artery stenosis or CAC as determined by MDCT, a non-invasive method for screening.
Methods And Results:
The subjects included 313 consecutive patients who underwent MDCT angiography. We quantified the number of significantly stenosed vessels in coronary vessel disease (VD) and CAC score using MDCT and measured body mass index (BMI), waist circumference and blood pressure. We also analyzed plasma levels of lipid profile, hemoglobin A1c, uric acid, and creatinine. Furthermore, we calculated the estimated glomerular filtration rate (eGFR), and defined CKD as GFR <60 mL/min/1.73 m(2). eGFR levels in the 3-VD group were significantly lower than those in patients without stenosed vessels. In the two classifications that were based on the CAC score [low (L, 0-444) and high (H, >or=445)] in our previous report, the H group was significantly associated with age, number of VD, incidence of hypertension and CKD. Multivariate logistic regression analysis revealed that the high CAC score group was significantly correlated with age (p=0.0023), CKD (p=0.0109) and number of VD (p=0.0470).
Conclusion:
CKD may contribute to the severity of CAD associated with the progression of CAC. Therefore, therapeutic intervention for CKD, in addition to the improvement of conventional risk factors, is needed to prevent CAD when MDCT is performed.
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