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Cited 24 time in webofscience Cited 22 time in scopus
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Relative contributions of different cardiovascular risk factors to significant arterial stiffness

Authors
Song, Hae GuenKim, Eung JuSeo, Hong SeogKim, Seong HwanPark, Chang GyuHan, Seong WooRyu, Kyu-Hyung
Issue Date
18-Mar-2010
Publisher
ELSEVIER IRELAND LTD
Keywords
Arterial stiffness; Pulse wave velocity; Risk factors; Cardiovascular diseases
Citation
INTERNATIONAL JOURNAL OF CARDIOLOGY, v.139, no.3, pp 263 - 268
Pages
6
Indexed
SCI
SCIE
SCOPUS
Journal Title
INTERNATIONAL JOURNAL OF CARDIOLOGY
Volume
139
Number
3
Start Page
263
End Page
268
URI
https://scholarworks.korea.ac.kr/kumedicine/handle/2020.sw.kumedicine/15066
DOI
10.1016/j.ijcard.2008.10.032
ISSN
0167-5273
1874-1754
Abstract
Background: Although arterial stiffness has been known to be related to many cardiovascular (CV) risk factors, the level of contribution of each risk factor to significant arterial stiffness is not yet clear. Methods: We studied an out-patient cohort of 835 subjects who were without a history of CV disease. Brachial-ankle pulse wave velocity (baPWV) measurement and Framingham risk score (FRS) calculation were performed for all subjects. Results: baPWV was well correlated with FRS (r = 0.523, P < 0.001) and it could independently predict it (P < 0.001) after adjusting for the conventional CV risk factors. We defined a baPWV > 1710 cm/s as significant arterial stiffness on the basis of its ability to detect a high 10-year risk of coronary heart disease (FRS > 20%). Multiple logistic regression analysis revealed that the adjusted odds ratios of significant arterial stiffness for an age >60 years, hypertension, male gender, smoking and diabetes were 6.2 (95% CI 4.4-8.7), 3.4 (95% CI 2.1-5.3), 1.9 (95% CI 1.3-2.8), 1.9 (95% CI 1.2-3.2) and 1.6 (95% CI 1.1-2.4), respectively. Hyperlipidemia and obesity were not statistically significant. Conclusions: Old age and hypertension were the strongest independent predictors of significant arterial stiffness. Male gender, smoking and diabetes followed in order of strength as independent predictors. (C) 2008 Elsevier Ireland Ltd. All rights reserved.
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Kim, Seong Hwan
Ansan Hospital (Department of Cardiology, Ansan Hospital)
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