Asymmetrical distribution of atherosclerosis in the carotid artery: identical patterns across age, race, and gender

Background: Small autopsy studies and clinical practice indicated that carotid atherosclerosis develops in an asymmetrical helical pattern coinciding with regions of low shear stress. We investigated the distribution of carotid atherosclerosis as determined by maximum carotid intima-⊟media thickness...

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Veröffentlicht in:European journal of preventive cardiology 2012-08, Vol.19 (4), p.687-697
Hauptverfasser: Tajik, Parvin, Meijer, Rudy, Duivenvoorden, Raphaël, Peters, Sanne AE, Kastelein, John J, Visseren, Frank J, Crouse, John R, Palmer, Mike K, Raichlen, Joel S, Grobbee, Diederick E, Bots, Michiel L
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Sprache:eng
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Zusammenfassung:Background: Small autopsy studies and clinical practice indicated that carotid atherosclerosis develops in an asymmetrical helical pattern coinciding with regions of low shear stress. We investigated the distribution of carotid atherosclerosis as determined by maximum carotid intima-⊟media thickness (CIMT), to assess if we could confirm this atherosclerotic configuration across various populations with different cardiovascular risk. Methods and results: We used the individual baseline CIMT data from 3364 subjects from four recent international multicentre randomized controlled trials in which the carotid artery was systematically examined using the same ultrasound protocol and method to quantify CIMT. For each subject, circumferential information on the maximum CIMT of the left and right carotid arteries was obtained for the common carotid, bifurcation, and internal carotid artery segments. In each segment (common, bifurcation, internal), mixed modelling was used to study the differences in CIMT between angles, sides, gender, age, race, and studies. Each segment showed a different circumferential CIMT pattern. In all segments there were statistically significant differences between maximum CIMT across circumferential angles (p 
ISSN:2047-4873
2047-4881
DOI:10.1177/1741826711410821