Why the study?
Does the 10-year ASCVD risk score correlate with carotid artery atherosclerosis imaging findings on CTA?
Does the 10-year ASCVD risk score correlate with carotid artery atherosclerosis imaging findings on CTA?
While the 10-year ASCVD risk score correlates with carotid artery atherosclerosis on CTA, the lack of perfect overlap suggests imaging may identify subclinical disease missed by clinical risk scores alone.
Supports ASCVD score for carotid plaque risk on CTA; leaves open whether imaging detects subclinical disease missed by scores.
BACKGROUND AND PURPOSE: To characterize the relationship between computed tomography angiography (CTA) imaging characteristics of carotid artery and the 10-year risk of atherosclerotic cardiovascular disease (ASCVD) score. METHODS: We retrospectively identified all patients who underwent a cervical CTA at our institution from January 2013 to July 2016, extracted clinical information, and calculated the 10-year ASCVD score using the Pooled Cohort Equations from the 2013 ACC/AHA guidelines. We compared the imaging features of artery atherosclerosis derived from the CTAs between low and high risk. RESULTS: One hundred forty-six patients met our inclusion criteria. Patients with an ASCVD score ≥7.5% (64.4%) had significantly more arterial stenosis than patients with an ASCVD score <7.5% (35.6%, P < .001). Maximal plaque thickness was significantly higher (mean 2.33 vs. .42 mm, P < .001) and soft plaques (55.3% vs. 13.5%, P < .001) were significantly more frequent in patients with an ASCVD score ≥7.5%. However, among patients with a 10-year ASCVD score ≥7.5%, 33 (35.1%) had no arterial stenosis, 35 (37.2%) had a maximal plaque thickness less than. 9 mm, and 42 (44.7%) had no soft plaque. Furthermore, among the patients with a 10-year ASCVD score <7.5%, 8 (15.4%) had some arterial stenosis, 8 (15.4%) had a maximal plaque thickness more than. 9 mm, and 7 (13.5%) had soft plaque. CONCLUSION: There is some concordance but not a perfect overlap between the 10-year ASCVD risk scores calculated from clinical and blood assessment and carotid artery imaging findings.
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Li et al. (2018) studied this question.
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