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Cited 123 time in webofscience Cited 128 time in scopus
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Relationship between blood pressure parameters and pulse wave velocity in normotensive and hypertensive subjects: invasive study

Authors
Kim, E. J.Park, C. G.Park, J. S.Suh, S. Y.Choi, C. U.Kim, J. W.Kim, S. H.Lim, H. E.Rha, S. W.Seo, H. S.Oh, D. J.
Issue Date
Feb-2007
Publisher
NATURE PUBLISHING GROUP
Keywords
pulse wave velocity; pulse pressure; large artery stiffness
Citation
JOURNAL OF HUMAN HYPERTENSION, v.21, no.2, pp 141 - 148
Pages
8
Indexed
SCIE
SCOPUS
Journal Title
JOURNAL OF HUMAN HYPERTENSION
Volume
21
Number
2
Start Page
141
End Page
148
URI
https://scholarworks.korea.ac.kr/kumedicine/handle/2020.sw.kumedicine/18109
DOI
10.1038/sj.jhh.1002120
ISSN
0950-9240
1476-5527
Abstract
Blood pressure ( BP) is one of the most important contributing factors to pulse wave velocity (PWV), a classic measure of arterial stiffness. Although there have been many non-invasive studies to show the relation between arterial stiffness and BP, the results are controversial. The aim of this study is to evaluate the role of BP as an influencing factor on PWV using invasive method. We observed 174 normotensive and untreated hypertensive subjects using coronary angiography. Arterial stiffness was assessed through aorto-femoral PWV by foot-to-foot velocity method using fluid-filled system. And BP was measured by pressure wave at the right common femoral artery. From univariate analysis, age, diabetes mellitus (DM), hypertension, waist, waist-to-hip ratio, total cholesterol-to-high-density lipoprotein cholesterol ratio, systolic BP (SBP), pulse pressure ( PP) and mean arterial pressure ( MAP) showed significant association with PWV. To avoid multiple colinearity among SBP, PP and MAP, we performed multiple regression analysis predicting PWV thrice. Age, DM and each BP were significantly and consistently correlated to PWV. In the first and third modules, compared to age, SBP and MAP were less strong predictors, respectively. However, PP was the stronger predictor than age and DM in the second module. Lastly, we simultaneously forced MAP and PP with other variables in the fourth multivariate analysis. Age, DM and PP remained significantly correlated with PWV, but the significance of MAP was lost. This is the first invasive study to suggest that PP has the strongest correlation with PWV among a variety of BP parameters.
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