4.6 Article

Quantification of Coronary Atherosclerosis in the Assessment of Coronary Artery Disease

Journal

CIRCULATION-CARDIOVASCULAR IMAGING
Volume 11, Issue 7, Pages -

Publisher

LIPPINCOTT WILLIAMS & WILKINS
DOI: 10.1161/CIRCIMAGING.117.007562

Keywords

angiography; atherosclerosis; coronary artery disease; myocardial infarction; risk factors

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Background: Diagnosis of coronary artery disease and management strategies have relied solely on the presence of diameter stenosis 50%. We assessed whether direct quantification of plaque burden (PB) and plaque characteristics assessed by coronary computed tomography angiography could provide additional value in terms of predicting rapid plaque progression. Methods and Results: From a 13-center, 7-country prospective observational registry, 1345 patients (60.49.4 years old; 57.1% male) who underwent repeated coronary computed tomography angiography >2 years apart were enrolled. For conventional angiographic analysis, the presence of stenosis 50%, number of vessel involved, segment involvement score, and the presence of high-risk plaque feature were determined. For quantitative analyses, PB and annual change in PB (oPB/y) in the entire coronary tree were assessed. Clinical outcomes (cardiac death, nonfatal myocardial infarction, and coronary revascularization) were recorded. Rapid progressors, defined as a patient with median value of oPB/y (0.33%/y), were older, more frequently male, and had more clinical risk factors than nonrapid progressors (all P<0.05). After risk adjustment, addition of baseline PB improved prediction of rapid progression to each angiographic assessment of coronary artery disease, and the presence of high-risk plaque further improved the predictive performance (all P<0.001). For prediction of adverse outcomes, adding both baseline PB and oPB/y showed best predictive performance (C statistics, 0.763; P<0.001). Conclusions: Direct quantification of atherosclerotic PB in addition to conventional angiographic assessment of coronary artery disease might be beneficial for improving risk stratification of coronary artery disease.

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