ORIGINAL ARTICLE  MISCELLANEOUS Free access

International Angiology 2019 April;38(2):150-6

DOI: 10.23736/S0392-9590.19.04078-1

Copyright © 2019 EDIZIONI MINERVA MEDICA

language: English

A cross-section study of main determinants of arterial stiffness in Hefei area, China

Qingyuan WU ^{1, 2}, Xiaoyu ZHANG ^{1, 2}, Yang XU ¹, Mu WANG ¹, Yu WANG ^{1, 2}, Xiaoyue YANG ^{1, 2}, Zuchang MA ² ✉, Yining SUN ¹

¹ AnHui Province Key Laboratory of Medical Physics and Technology, Institute of Intelligent Machines, Hefei Institutes of Physical Sciences, Chinese Academy of Sciences, Hefei, China; ² Department of Automation, University of Science and Technology of China, Hefei, China

BACKGROUND: Arterial stiffness has emerged as an independent risk factor for adverse cardiovascular disease events and is the consequence of multiple risk factors. The aim of the present study is to explore the main determinants of arterial stiffness in a Chinese population and to study how the arterial stiffness levels affected by different number of risk factors.
METHODS: This study included 358 subjects in Hefei area of China. Anthropometric indexes, biochemical indexes, cardiovascular function indexes and lifestyle were achieved. Brachial-ankle pulse wave velocity (baPWV) was used to assess arterial stiffness. Multivariate linear regression model was performed to identify the main determinants of arterial stiffness levels.
RESULTS: baPWV was correlated with age, sex, hypertension, various blood pressure components (systolic blood pressure [SPB], diastolic blood pressure, pulse pressure, and central arterial pressure), serum lipids, fasting blood-glucose and body mass index, subendocardial viability ratio (SEVR) and ejection duration (ED) in bivariate correlation analysis. Moreover, baPWV was only positively correlated with age, hypertension and SBP and inversely correlated with SEVR and ED in multivariable regression model. These five variables explained about 74.8% variances of baPWV and age was the strongest determinant of arterial stiffness. In addition, the levels of arterial stiffness increased with the augmented number of risk factors when the total number of factors was no more than 4.
CONCLUSIONS: The main determinants of arterial stiffness were age, hypertension, SBP, SEVR and ED. Furthermore, the number of risk factors had an independent influence on arterial stiffness, it is of great importance to consider the number of risk factors when it comes to cardiovascular risk assessment.

KEY WORDS: Vascular stiffness; Risk factors; Pulse wave velocity; China