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Identifying Coronary Artery Calcification on Non-gated Computed Tomography Scans
Published on: August 28, 2018
Abdominal aortic calcification score can predict future coronary artery disease in hemodialysis patients: a 5-year
Hung-Chih Chen1, Wei-Ting Wang2, Chieh-Ning Hsi2
1Division of Nephrology, Asia University Hospital, Taichung, Taiwan.
Insights
Abdominal aortic calcification (AAC) score predicts future coronary artery disease (CAD) in hemodialysis patients. An AAC score above 5.5 indicates higher CAD risk, with age and diabetes as contributing factors.
Area of Science:
- Cardiovascular Medicine
- Nephrology
- Radiology
Background:
- Abdominal aortic calcification (AAC) is linked to cardiovascular mortality in hemodialysis patients.
- The association between AAC severity and future coronary artery disease (CAD) occurrence remains unclear.
Purpose of the Study:
- To clarify the association between AAC severity and the occurrence of future CAD events in hemodialysis patients.
Main Methods:
- Prospective cohort study of hemodialysis patients.
- AAC severity quantified by AAC score using lateral lumbar radiography.
- Receiver operating curve (ROC) analysis determined the cutoff AAC value for CAD prediction.
Main Results:
- 303 patients followed for a median of 95 months.
- Higher AAC scores observed in patients with new CAD events (9 vs. 5, p < 0.001).
- Multivariate analysis showed AAC score as a predictor of CAD (HR 1.039, p=0.016); cutoff AAC score of 5.5 identified higher risk.
Conclusions:
- AAC score effectively predicts future CAD events in hemodialysis patients.
- An AAC score > 5.5 is a reliable marker for predicting CAD in end-stage renal disease (ESRD) patients.
- Age, diabetes, prior CAD, and longer dialysis vintage are associated with higher AAC scores.
Background:
Abdominal aortic calcification (AAC) has been known to be associated with cardiovascular mortality in hemodialysis. However, the association between AAC and future coronary artery disease (CAD) occurrence is not clear. We aimed to clarify the association of AAC severity and the occurrence of future CAD events in hemodialysis patients.
Methods:
Hemodialysis (HD) patients were recruited in this prospective cohort study. AAC severity was quantified by AAC score, which was measured by lateral lumbar radiography. We used receiver operation curve (ROC) analysis to find the cutoff AAC value for CAD prediction. CAD-free survival was analyzed by Kaplan-Meier study.
Results:
There were 303 patients recruited for study with a median (interquartile range) follow-up of 95 (65-146) months. The AAC score in patients with occurrence of new CAD [9 (3-15.25), n = 114] was higher than in patients without new CAD occurrence [5 (1-9) n = 189], p < 0.001. Multivariate hazard ratio of AAC score for CAD was 1.039 (p = 0.016). ROC study showed that an AAC score of 5.5 had a sensitivity of 0.658 and a specificity of 0.587 in the prediction of new CAD occurrence. Patients with AAC score above 5.5 had significantly higher cumulative incidence of CAD than patients with AAC score below 5.5. Age, diabetes, prior history of CAD, and longer dialysis vintage were major factors associated with higher AAC score.
Conclusions:
AAC score can predict the occurrence of future CAD events in HD patients. The best cut-off value of AAC score is 5.5. AAC score greater than 5.5 is a reliable abdominal aortic calcification marker, and can predict future CAD in ESRD patients. Major contributive factors for higher AAC score were age, presence of diabetes, prior history of CAD, and longer dialysis vintage.
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