Abstract 19431: Intracoronary Plaque Volume (IVUS) is Predicted by Quantitative Coronary Angiographic Scores
Introduction: Multiple angiographic scoring systems have been devised to classify coronary artery disease (CAD) severity. There is a lack of consensus on which scores are appropriate, and whether they are equivalent. We hypothesized that commonly used scores would (1) correlate with each other, and (2) correlate with the atherosclerotic plaque burden estimated by intravascular ultrasound (IVUS).
Methods: Coronary angiographic data from 3600 patients was collected as part of the Emory Biobank that is a registry of patients undergoing cardiac catheterization. All angiograms were read by two independent clinical observers with lesions recorded using a 17 segment modified AHA model. Gensini, Duke 12 point, Duke Severity and CASS-50 angiographic scores were then estimated. Patients with prior PCI and CABG were scored based on pre-procedural disease. Average percent plaque burden was measured using IVUS in a non-critically narrowed coronary artery in 50 patients from an interventional sub study.
Results: Angiographic scores correlated strongly with each other (Table 1). They also correlated with risk factors including HDL, LDL, triglycerides, and glucose levels. Finally, all scores correlated significantly with percent plaque burden determined in one non-critically narrowed coronary artery by IVUS (Table 1).
Conclusions: For the first time, we demonstrate that commonly used angiographic scoring systems are highly correlated with each other and appear to accurately predict atherosclerotic plaque burden as determined by IVUS.
- © 2010 by American Heart Association, Inc.