Abstract 12746: Validation of a New Algorithm for Detection of Coronary Artery Disease Using Carotid and Femoral Vascular Ultrasound

Abstract

Background: Atherosclerosis is a systemic disease and patients presenting with atherosclerotic coronary artery disease (CAD) usually have associated vascular disease and the reverse is true. Abdelwahab A. et al study is one of the studies who investigate the relation between the different duplex parameters of the carotid and femoral arteries and the extent of coronary atherosclerosis and they proposed a new algorithm for the detection of significant CAD by using carotid and femoral vascular ultrasound. Objective: To assess the validity and applicability of a new algorithm for detection of significant CAD. Methods: Peripheral arterial duplex evaluation was performed for 97 consecutive patients (65 men and 32 women; mean age 59±4.5 years) undergoing coronary angiography for a variety of indications. The following duplex parameters were determined in all patients : Common carotid and common femoral intima media thickness (IMT), carotid total plaques dimension product (PDP) and carotid-femoral (CARFEM) index which is a combination index of IMT of carotid artery and common femoral artery and total wall thickness of the superficial femoral artery. Results: As the number of affected coronary arteries increased, there was a proportional increase in the mean of Carotid IMT, total PDP and CARFEM Index (P= .025, < 0.001 and 0.017 respectively ). Sensitivity, specificity, positive and negative predictive values of the proposed algorithm were 90.3% 72%, 90.3% and 72% respectively. Conclusion: Carotid and femoral duplex provides an easy non-invasive tool for detection of significant CAD. The proposed step-wise algorithm could be a reliable approach for detection of significant CAD.