Arterial stiffness contributes to coronary artery disease risk prediction beyond the traditional risk score (RAMA-EGAT score)

• Published in: Heart Asia Vol. 4; no. 1; pp. 77 - 82
• Main Authors: Yingchoncharoen, Teerapat, Limpijankit, Thosaphol, Jongjirasiri, Sutipong, Laothamatas, Jiraporn, Yamwong, Sukit, Sritara, Piyamitr
• Format: Journal Article
• Language: English
• Published: England BMJ Publishing Group LTD 01.01.2012; BMJ Group
• Subjects: Accuracy; Age; Ankle; Atherosclerosis; Blood pressure; Calcification; Cardiovascular disease; Contrast agents; Coronary vessels; Diabetes; Gender; Heart; Hypertension; Iodine; Medical imaging; Mortality; Original Research; Population; Studies; Coronary artery disease; risk factors; imaging and diagnostics
• ISSN: 1759-1104; 1759-1104
• DOI: 10.1136/heartasia-2011-010079

ObjectivesThe traditional risk score (RAMA-EGAT) has been shown to be an accurate scoring system for predicting coronary artery disease (CAD). Arterial stiffness measured by the cardio–ankle vascular index (CAVI) is known to be a marker of atherosclerotic burden. A study was undertaken to determine whether CAVI improves the prediction of CAD beyond the RAMA-EGAT score.DesignCross-sectional study.PatientsPatients with a moderate to high risk for CAD by the RAMA-EGAT score were enrolled between November 2005 and March 2006. 64-slice multidetector CT coronary angiography was used to evaluate the coronary artery calcium score and coronary stenosis. Arterial stiffness was assessed by CAVI.Results1391 patients of median age 59 years (range 31–88) were enrolled in the study, 635 (45.7%) men and 756 (54.3%) women. Of the 1391 patients, 346 (24.87%) had coronary stenosis. There was a correlation between CAVI and the prevalence of coronary stenosis after adjusting for traditional CAD risk factors (OR 3.29). In addition, adding CAVI into the RAMA-EGAT score (modified RAMA-EGAT score) improved the prediction of CAD incidence, increasing C-statistics from 0.72 to 0.85 and resulting in a net reclassification improvement of 27.7% (p<0.0001).ConclusionCAVI is an independent risk predictor for CAD. The addition of CAVI to the RAMA-EGAT score significantly improves the diagnostic yield of CAD.