Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1760411 | Ultrasound in Medicine & Biology | 2015 | 5 Pages |
Abstract
Coronary slow flow (CSF) in coronary angiography (CAG) is a well-recognized clinical entity. Previous studies have suggested that microvascular abnormalities and endothelial dysfunction are responsible for CSF. Accordingly, we hypothesized that the CSF phenomenon is a form of atherosclerosis including both small vessels and epicardial coronary arteries. The echo-tracking (ET) technique is a non-invasive detection method for early prediction of arterial atherosclerosis. Therefore, we investigated carotid elasticity with the ET technique in patients with CSF. Fifty patients with CSF and 50 patients with normal coronary artery blood flow, as determined by CAG, with a similar distribution of risk factors were recruited. The stiffness parameter (β), pressure-strain elastic modulus (Ep), arterial compliance (AC), augmentation index (AIx) and local pulse-wave velocity (PWV) were determined at the level of the bilateral common carotid artery (CCA) with using the ET technique. Levels of serum high-sensitivity C-reactive protein (hs-HSCRP) were determined for the two groups. β, Ep and PWV were significantly higher in the CSF group than in the control group (β: 11.4 ± 3.76 vs. 9.22 ± 3.28, p < 0.01; Ep: 153.44 ± 47.85 vs. 126.40 ± 43.32, p < 0.01; PWV: 7.26 ± 1.10 vs. 6.55 ± 1.02, p < 0.01), but AC was lower in the CSF group than in the control group (0.62 ± 0.20 vs. 0.74 ± 0.24, p < 0.01). The elasticity parameters of the bilateral common carotid artery did not significantly differ. The level of hs-HSCRP was correlated positively with β (r = 0.306, p = 0.015), Ep (r = 0.358, p = 0.005) and PWV (r = 0.306, p = 0.015), but negatively with AC (r = â0.236, p = 0.049). In conclusion, the ET technique is a simple practical method for evaluating carotid artery elasticity, and there is a significant correlation between carotid artery stiffness and level of hs-HSCRP in patients with CSF.
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Authors
Song Yang, De-zhao Wang, Hong-xia Zhang, Wen He, Bu-xing Chen,