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Volume 18 Supplement 1

19th Annual SCMR Scientific Sessions

  • Poster presentation
  • 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)

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Journal of Cardiovascular Magnetic Resonance201618 (Suppl 1) :P132

  • Published:


  • 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).


At baseline, participants were 62 ± 10 years of age; 53% women, 36% White, 15% Chinese, 29% African American, 20% Hispanic, and 45% had hypertension. The median value of arch PWV was 7.4 (IQR; 5.6 to 10.2) m/s. There were 427 CVD events over the 10-year follow-up. There was no significant association of PWV with incident CVD in all participants after adjustment for CVD risk factors. Stratifying by age groups, only 45-55-year-old participants had significant association of arch PWV with incident CVD in multivariable analysis (HR, 1.47; 95% confidence interval (CI), 1.10-1.97; p = 0.009), whereas other age groups did not (Table 1).
Table 1

Hazard Ratios of the logPWV for Cardiovascular Events Stratified by Age Groups no. of events


no. of events


Model 1

Model 2


HR (95% CI)


HR (95% CI)


HR (95% CI)


All participants (n = 3,529)


1.26 (1.16-1.38)


1.06 (0.97-1.17)


1.03 (0.94-1.14)


Age categories


45-54 years old (n-1,027)


1.59 (1.23-2.06)


1.48 (1.15-1.92)


1.47 (1.10-1.97)


55-64 years old (n-946)


1.10 (0.90-1.35)


1.08 (0.89-1.33)


0.99 (0.79-1.24)


65-75 years old (n-1,071)


1.05 (0.90-1.22)


1.03 (0.88-1.20)


1.01 (0.87-1.19)


75-84 years old (n = 485)


0.94 (0.78-1.14)


0.95 (0.78-1.15)


1.00 (0.83-1.22)


Hazard ratios are indicated per 1SD higher logPWV. Adjustment was performed for the following risk factors: model 1 = adjusted for age, gender, and race; model 2 = model 1 + mean blood pressure, antihypertensive medication use, diabetes, smoking, total cholesterol, HDL cholesterol, BMI.

HR indicates hazard ratio; BMI, body mass index; HDL, high density lipoprotein; PWV, pulse wave velocity; logPWV, log-transformed PWV


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.

Authors’ Affiliations

Cardiology, Johns Hopkins University, Baltimore, MD, USA
National Institutes of Health, Bethesda, MD, USA
Wake Forest School of Medicine, Winston-Salem, MD, USA
Groupe Hospitalier La Pitié Salpêtrière Sorbonne Universités, Paris, France
Vall d'Hebron Hospital, Barcelona, Spain
Yonsei University, Seoul, Korea (the Republic of
Jewish Hospital, Luisville, KY, USA
National Heart, Lung and Blood Institute, Bethesda, MD, USA


© Ohyama et al. 2016

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 (, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated.