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Published on: September 22, 2023
The atherosclerosis burden score
Angeliki Koulouri1, Roger Darioli2, Salah Dine Qanadli3
1Angiology, University Hospital CHUV, Lausanne, Switzerland.
Insights
The Atherosclerosis Burden Score (ABS) effectively predicts coronary artery disease (CAD) in asymptomatic individuals. It performs comparably to the coronary artery calcium (CAC) score in intermediate-risk patients and surpasses other non-radiation methods.
Area of Science:
- Cardiology
- Vascular Imaging
- Preventive Medicine
Background:
- Coronary artery disease (CAD) poses a significant health risk.
- Accurate risk stratification in asymptomatic individuals is crucial for primary prevention.
- Non-invasive imaging modalities are essential for assessing cardiovascular disease (CVD) risk.
Purpose of the Study:
- To evaluate the Atherosclerosis Burden Score (ABS) for predicting CAD in asymptomatic patients.
- To compare ABS predictive accuracy against coronary artery calcium (CAC) score, carotid intima-media thickness (C-IMT), and ankle brachial index (ABI).
Main Methods:
- Prospective study of 198 asymptomatic patients.
- Assessment of traditional cardiovascular risk factors, ABS, CAC score, C-IMT, and ABI.
- Coronary CT-angiography (CCTA) used to define CAD (coronary stenosis ≥30%).
Main Results:
- CAC score showed the highest predictive value (ROC-AUC 0.81) overall.
- ABS demonstrated a comparable predictive value to CAC score (ROC-AUC 0.70 vs 0.76) in intermediate-risk patients.
- ABS outperformed C-IMT and ABI in predicting CAD across patient groups.
Conclusions:
- ABS is a valuable non-invasive tool for predicting CAD in asymptomatic individuals.
- ABS shows similar performance to CAC score in intermediate-risk patients.
- ABS offers a safe, radiation-free alternative for identifying high-risk patients needing intensive CVD prevention therapy.
Abstract:
Purpose: We carried out this study to evaluate the predictive value of atherosclerosis burden score (ABS) to predict coronary artery disease (CAD) among asymptomatic patients without known cardiovascular disease (CVD), as compared to other imaging or functional techniques, namely coronary artery calcium (CAC) score, carotid intima-media thickness (C-IMT), and ankle brachial index (ABI). Patients and methods: This prospective study included 198 asymptomatic consecutive patients referred for evaluation of their cardiovascular (CV) risk and for therapeutic advice. Traditional CV risk factors, ABS, CAC score, C-IMT, ABI and an ECG-synchronized coronary CT-angiography (CCTA) were performed for each patient. We compared the predictive values of these atherosclerosis markers to detect CAD defined as coronary stenosis ≥30% objectivated by CCTA. Results: Among the whole sample, the area under the receiver-operating characteristic curve (ROC-AUC) was significantly higher for CAC score (0.81, p=0.015) than for ABS, the reference (0.70) but these values were lower for C-IMT (0.60, p=0.16) and particularly for ABI (0.56, p=0.0015). However, among patients at intermediate risk of coronary heart disease (CHD), according to Framingham risk score (FRS), the differences between the ROC-AUC values for ABS (0.70) and CAC score (0.76, p=0.36) were less pronounced. Again, as compared to ABS, the ROC-AUC values were lower for C-IMT (0.60, p=0.21) and ABI (0.57, p=0.06). Conclusions: ABS, an ultrasonographic score based on the assessment of carotid and femoral plaque burden, predicts more accurately CAD than other non-radiation tools analyzed here, and has a similar performance to CAC in patients at intermediate CHD risk. Thus, ABS could be an appropriate non-invasive and safe method to improve the detection of high-risk patients who will benefit from a more intensive therapy for the primary prevention of CVD.
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