[Associations and related factors between pulse wave velocity and arterial system and augmentation index measured on different sites in a healthy population].

OBJECTIVE: To explore the associations and related factors between pulse wave velocity (PWV) and arterial system and augmentation index (AI) measured on different sites in a healthy population. METHODS: All subjects were selected from a local community investigation study which included 5116 people living in Haidian District or Daxing District, Beijing, China. A total of 729 healthy subjects [age 17 - 85 years, mean (39.2 ± 12.2) years, 413 men] were included in this study. Carotid-femoral pulse wave velocity (CF-PWV), carotid-radial pulse wave velocity (CR-PWV) and carotid-ankle pulse wave velocity (CA-PWV) were measured using Complior. Pulse wave analysis at the right radial artery was measured and AI was calculated using SphygmoCor device. RESULTS: CF-PWV correlated significantly with CR-PWV or CA-PWV (all P < 0.01) by both Pearson and Partial Correlation analysis adjusted by age, body mass index, waist-hip ratio, systolic blood pressure, diastolic pressure and heart rate. There was no significant correlation between AI and CR-PWV (r = -0.072, P = 0.053) and between AI and CR-PWV (r = 0.024, P = 0.528), AI and CA-PWV (r = 0.068, P = 0.070) while AI was significantly correlated with CF-PWV (r = 0.110, P = 0.003). Multiple stepwise regression analyses showed that age, systolic blood pressure and heart rate were positively while female gender was negatively correlated with CF-PWV. CR-PWV was positively correlated with diastolic blood pressure and negatively correlated with pulse pressure and female gender (R(2) = 0.155). CA-PWV was positively correlated with systolic blood pressure and age while negatively correlated with pulse pressure and female gender. Multiple stepwise regression analysis also demonstrated that AI was positively correlated with age, diastolic blood pressure, low density lipoprotein cholesterol and female gender, and negatively correlated with heart rate, height and serum creatinine level(R(2) = 0.536). CONCLUSIONS: CA-PWV, covering carotid-femoral arterial segment, could partially represent CF-PWV as an indicator of large arterial stiffness. CR-PWV mainly reflects peripheral muscular arterial stiffness and is not suitable to be used interchangeably with CF-PWV or CA-PWV. Component of blood pressure (systolic, diastolic or pulse pressure) may have different influences on CF-PWV, CA-PWV or CR-PWV. AI is affected by multiple factors and poorly correlated with PWV and is not a good indicator for arterial stiffness.