Background: Arterial compliance or stiffness is an important determinant of cardiovascular disease and there is considerable interest in its noninvasive measurement. Pulse wave velocity (PWV) is widely used as an index of arterial stiffness.
Aim: To determine whether PWV is useful for risk stratification in both healthy individuals and coronary patients.
Methods: Control subjects, n=510, aged 46.1 +/- 11 years, with no history of coronary disease, were selected from electoral rolls, and coronary patients, n=301, aged 53.7 +/- 10 years, were selected from hospital patients with a history of coronary artery disease (CAD) confirmed by coronary angiogram (at least 75% obstruction of one of the main coronary vessels). The asymptomatic subjects without CAD formed Group A, and were subdivided into A1 (without hypertension, dyslipidemia and/or diabetes) and A2 (with hypertension, dyslipidemia and/or diabetes). The coronary patients formed Group B, who were also subdivided into B1, without these classic risk factors, and B2 with hypertension, dyslipidemia and/or diabetes. We used the Student's t test to compare continuous variables and the chi-square test to compare categorical data. The strength of correlation between continuous variables was tested by Pearson's linear correlation. Independent variables predictive of CAD were determined by backward logistic regression analysis. The statistical analysis was performed using SPSS for Windows version 11.0 and data were expressed as means +/- SD; a p value of 0.05 was considered significant.
Results: Comparing the two groups A1 and A2, mean PWV was significantly lower in group A1. Comparing B1 and B2, mean PWV was also significantly lower in group B1. In group A1, PWV was significantly and positively correlated with age, body mass index, waist-to-hip ratio, alcohol consumption, total/HDL cholesterol ratio, systolic, diastolic and mean blood pressure (BP), blood glucose, apo B, triglycerides, and high-sensitivity C-reactive protein, unlike HDL which was inversely correlated (Pearson's coefficient). In group A2, PWV was significantly and positively correlated with age, alcohol consumption, total/HDL cholesterol ratio, systolic, diastolic and mean BP, blood glucose and pulse pressure (PP), but not HDL, which was inversely correlated with PWV. In group B1, PWV was only significantly and positively correlated with age, systolic, mean, and diastolic BP and PP, and presented a significant inverse correlation with ejection fraction. However, in the high-risk coronary population (group B2), there was a positive correlation with age, waist-to-hip ratio, systolic and mean BP, PP and homocysteine. After stepwise logistic regression, PWV remained in the model and proved to be a significant and independent risk factor for CAD.
Conclusion: The results of our study show that PWV is higher in high-risk groups and significantly correlated with many classic and new CAD risk markers, suggesting that there is a cumulative influence of risk factors in the development of arterial stiffness. We believe that PWV is a useful index of vascular status and hence cardiovascular risk and that it may be useful for risk stratification in both asymptomatic and coronary patients.