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- Open Access
Age-related association of aortic arch pulse wave velocity assessed by MRI with incident cardiovascular events: the multi-ethnic study of atherosclerosis (MESA)
© Ohyama et al. 2016
- Published: 27 January 2016
- Pulse Wave Velocity
- Incident Cardiovascular Event
- Future Cardiovascular Disease
- Pulmonary Artery Bifurcation
- Mesa Participant
The carotid-femoral pulse wave velocity (PWV) assessed by tonometry is predictive of future cardiovascular disease (CVD) events; however, the predictive value of aortic arch PWV assessed by MRI for CVD events has not been established in the general population. The aim of the present study was to evaluate the association of arch PWV with incident CVD events over 10 years based on the Multi-Ethnic Study of Atherosclerosis (MESA).
Aortic arch PWV was measured using through-plane aortic flow from phase contrast (PC) cine MRI at the level of the pulmonary artery bifurcation for transit time and black-blood sagittal images for transit length at baseline in 3,527 MESA participants free of overt CVD. Cox regression was used to evaluate the risk of incident CVD in relation to arch PWV adjusted for age, gender, race, and CV risk factors. Arch PWV were logarithmically transformed for COX regression models due to its right-skewed distribution (logPWV). There was significant interaction between arch PWV and age for outcomes, so analysis was repeated in each age decade (45-54, 55-64, 65-74, 75-84 years).
Hazard Ratios of the logPWV for Cardiovascular Events Stratified by Age Groups no. of events
no. of events
HR (95% CI)
HR (95% CI)
HR (95% CI)
All participants (n = 3,529)
45-54 years old (n-1,027)
55-64 years old (n-946)
65-75 years old (n-1,071)
75-84 years old (n = 485)
Aortic arch PWV assessed by MRI is a significant predictor of CVD events among middle-age (45 to 54 years old) individuals, whereas arch PWV is not associated with CVD among elderly in a large multi-ethnic population.
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.