Abstract P182: Aortic Arch Pulse Wave Velocity Assessed by MRI as a Predictor of All-Cause Mortality and Incident Cardiovascular Events: The Multi-Ethnic Study of Atherosclerosis (MESA)

Circulation ◽  
2015 ◽  
Vol 131 (suppl_1) ◽  
Author(s):  
Yoshiaki Ohyama ◽  
Bharath Ambale-Venkatesh ◽  
Chikara Noda ◽  
Jang Young Kim ◽  
Atul Chugh ◽  
...  

Background: 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 mortality and CVD events has not been established in the general population. The aim of this study was to evaluate the association of arch PWV with all-cause mortality and incident CVD events over 10 years in the Multi-Ethnic Study of Atherosclerosis (MESA). Method: Aortic arch PWV was measured using phase contrast (PC) cine MRI at the level of the pulmonary artery bifurcation for transit time and black blood sagittal image for transit length at baseline in 3537 MESA participants free of overt CVD. Cox regression was used to evaluate the risk of death and incident CVD in relation to arch PWV adjusted for age, gender, race, and CV risk factors. Results: At baseline, participants were aged 62 ± 10 years; 53% women; 36% White, 15% Chinese, 29% African American, 20% Hispanic; 45% hypertension. The mean value of arch PWV was 9.0 ± 6.3 m/s. There were 418 deaths and 236 CVD events over 10-year follow-up. There was significant interaction between arch PWV and mean age for both outcomes, so we stratified by age; below 60 years (n=1503) and above 60 years (n=2034). Increased PWV had a trend with increased risk of all-cause mortality with a hazard ratio for the 4th vs 1st quartile of PWV of 2.1 (95%CI: 1.0-4.6, p=0.05) independent of risk factors in age below 60 years group. There was no significant association of PWV with incident CVD in age below 60 years after adjustment for risk factors. In age above 60 years group, increased PWV was not associated with either all-cause mortality or incident CVD events in univariate or multivariate analysis (Table). Conclusion: Arch PWV assessed by MRI is not a significant predictor of all-cause mortality and incident CVD events among individuals without overt CVD.

2012 ◽  
Vol 51 (6) ◽  
pp. 537-543 ◽  
Author(s):  
En-Zhi Jia ◽  
Feng-Hui An ◽  
Pu Liu ◽  
Feng Li ◽  
Hong-Wei Mao ◽  
...  

Radiology ◽  
2013 ◽  
Vol 267 (3) ◽  
pp. 709-717 ◽  
Author(s):  
Kevin S. King ◽  
Ke Xun Chen ◽  
Keith M. Hulsey ◽  
Roderick W. McColl ◽  
Myron F. Weiner ◽  
...  

2019 ◽  
Vol 40 (Supplement_1) ◽  
Author(s):  
K Piddock ◽  
F Britton ◽  
V Goode ◽  
E White ◽  
A Greenstein ◽  
...  

Abstract Background Cardiotoxic therapy causes significant morbidity and mortality in patients (pts) treated for Hodgkin lymphoma (HL). Cardiovascular (CVS) risk calculators do not include cancer therapy despite epidemiological data demonstrating increased risk. We have assessed modifiable CVS risk factors and predicted risk of CVS disease in a cohort of HL survivors. Hypothesis Cardiovascular risk calculators will not identify high risk in young HL survivors. Methods Pts now aged ≤50 treated with doxorubicin and/or radiotherapy (RT) to cardiac tissue for HL >5 years ago were identified. Telephone review of CVS risk factors was offered to pts taking statins or already diagnosed with cerebrovascular or CVS disease. Remaining pts were offered clinical review to assess BMI, blood pressure, cholesterol and HbA1c. Carotid-radial pulse wave velocity (PWV) was measured if available. CVS risk was predicted using international risk calculators (European SCORE, QRISK3, Framingham). Results 160 eligible pts were identified. Median age was 43 years (26–50) and 52% were female. Median time since treatment was 182 months (61–367). Pts received doxorubicin (n=150), with RT (n=97) or RT alone (n=10). Pts were excluded from study due to severe medical condition (n=8), recurrence (n=1), relocation (n=3) or death (n=1). Data were gathered at clinical review (n=70) or telephone review (n=26). Existing cardiovascular diagnoses included hypertension (n=5), transient ischaemic attack (n=2), valvular disease (n=3), heart failure (n=1), atrial fibrillation (n=2), complete heart block (n=1) and coronary artery disease (n=1). At clinical review 51% pts had 3 or more modifiable risk factors with a median of 3 (0–5) per pt. Total cholesterol was >5.0 mmol/L in 58% of patients with a median of 5.2 mmol/L (3.2–8.6). Median systolic blood pressure was 125.5 mmHg (103–164). Median body mass index was 26.3 kg/m-2 (18.6–56.1) with 60% of patients classed as overweight or obese.Advice was offered to all smokers (9%), pts that drank alcohol above UK recommended levels (20%) or exercised below the recommended amount (60%). Risk calculators classified 1.4% (QRISK3) and 10% (Framingham) of pts at high risk of CVS disease and 0% (European SCORE) at high risk of CVS mortality. Pulse wave velocity measured in 34 pts was elevated (>8 m/s) in 76% of cases with a median 10.2 m/s (2.3–16.8). Conclusions Numerous modifiable CVS risk factors were identified in an HL survivor population known from epidemiological studies to be at high risk of CVS morbidity/mortality. None of the CVS risk calculators identified this high risk. Intriguing data indicate PWV may represent an accessible early indicator of CVS dysfunction. These data prompt comprehensive assessment and management of CVS risk factors in cancer survivors and review of the use of risk calculators in this population. Acknowledgement/Funding The Christie NHS Foundation Trust


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Ji-Hee Haam ◽  
Young-Sang Kim ◽  
Doo-Yeoun Cho ◽  
Hyejin Chun ◽  
Sang-Woon Choi ◽  
...  

AbstractRecent evidence suggests that cellular perturbations play an important role in the pathogenesis of cardiovascular diseases. Therefore, we analyzed the association between the levels of urinary metabolites and arterial stiffness. Our cross-sectional study included 330 Korean men and women. The brachial-ankle pulse wave velocity was measured as a marker of arterial stiffness. Urinary metabolites were evaluated using a high-performance liquid chromatograph-mass spectrometer. The brachial-ankle pulse wave velocity was found to be positively correlated with l-lactate, citrate, isocitrate, succinate, malate, hydroxymethylglutarate, α-ketoisovalerate, α-keto-β-methylvalerate, methylmalonate, and formiminoglutamate among men. Whereas, among women, the brachial-ankle pulse wave velocity was positively correlated with cis-aconitate, isocitrate, hydroxymethylglutarate, and formiminoglutamate. In the multivariable regression models adjusted for conventional cardiovascular risk factors, three metabolite concentrations (urine isocitrate, hydroxymethylglutarate, and formiminoglutamate) were independently and positively associated with brachial-ankle pulse wave velocity. Increased urine isocitrate, hydroxymethylglutarate, and formiminoglutamate concentrations were associated with brachial-ankle pulse wave velocity and independent of conventional cardiovascular risk factors. Our findings suggest that metabolic disturbances in cells may be related to arterial stiffness.


2021 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Kunihiko Aizawa ◽  
Phillip E. Gates ◽  
David M. Mawson ◽  
Salim Elyas ◽  
Francesco Casanova ◽  
...  

2020 ◽  
Vol 21 (Supplement_1) ◽  
Author(s):  
F Antonini-Canterin ◽  
A Pepe ◽  
M Strazzanti ◽  
D Rivaben ◽  
E Nicolosi ◽  
...  

Abstract Background Guidelines recommend increased aortic stiffness as a negative prognostic factor to be considered in primary and secondary prevention. Pulse wave velocity (PWV) is a frequently employed surrogate marker of aortic stiffness. Carotid-femoral PWV is the most common index in research and clinical practice, but recently several velocity-encoded magnetic resonance imaging (MRI) techniques have been used for the evaluation of regional aortic arch PWV, where the stiffness seems to be particularly relevant from a prognostic point of view. Purposes. We developed a new ultrasound method for the assessment of aortic arch PWV, using a single-beat dual-gate simultaneous pulsed wave Doppler tracing. The aim of the study is to evaluate the feasibility of this new technique in a group of healthy volunteers. Methods We examined 126 healthy volunteers (81 females, 45 males, mean age 42 + 15 years, range 13-83 years) using a commercially available machine equipped with simultaneous dual-gate pulsed Doppler. Using the suprasternal approach, the first sample volume was placed in ascending aorta and the second one in descending aorta. The distance between the two sites was directly measured with a curvilinear tracing in the middle of the vessel, following the shape of the aortic arch. PWV was calculated as the ratio of distance (in millimiters) and the transit time (in milliseconds) measured using the "foot-to-foot" method. The results are then easily transformed, simplifying in the commonly unit of meters/second. Results Feasibility was 99%; in one case it was not possible to measure accurately the aortic arch PWV due to unfavorable suprasternal acustic window. The procedure time was very fast, requiring 2 + 1 minutes. Intraobserver and interobserver variability were 7% and 9% respectively. Aortic arch PWV, as expected, showed a strong correlation with age in males as well as in females (r= 0.71 and r = 0.60 respectively, p < 0.001 for both); there was also a significant correlation with body mass index (r = 0.31; p < 0.001). Aortic arch PWV values ranged from 3.1 to 8.5 m/s, showing a substantial overlap with normal values reported in MRI studies. Conclusions The direct measurement of aortic arch PWV is feasible and reproducible with ultrasound, using the novel single-beat dual-gate simultaneous pulsed wave Doppler tracing. This technique could be implemented in a standard echo examination, that is much more available than MRI studies. Further studies are needed to evaluate if Doppler-derived aortic arch PWV could provide additional prognostic information. Abstract P1830 Figure. Aortic Arch PWV


Medicine ◽  
2016 ◽  
Vol 95 (19) ◽  
pp. e3643 ◽  
Author(s):  
Ming-Chen Paul Shih ◽  
Mei-Yueh Lee ◽  
Jiun-Chi Huang ◽  
Yi-Chun Tsai ◽  
Jui-Hsin Chen ◽  
...  

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