Background: Detection of digital volume pulse (DVP) using photoplethysinography has been employed to evaluate the pulse wave velocity (PWV) and arterial stiffness. The aims oft/ifs study were to introduce a novel method in measuring global arterial stiffness by dual-channel DVP and compared with standard applanation tonometry (AT) in chronic kidney disease (CKD) patients, and to analyze the relationship between PWV-DVP and cardiovascular risk factors. Methods: Arterial stiffness was measured by PWV-AT and PWV-DVP in 70 CKD patients. Correlations between PWV-AT and PWV-DVP as well as relationship between PWV-DVP and cardiovascular risk factors were analyzed. Results: There was a significant correlation between overall PWV-AT and PWV-DVP (r=0.6468, P<0.0001). Further analysis revealed significant correlation between PWV-AT and PWV-DVP in CKD Stages 1 to 2 and in Stages 3 to 4, but not in CKD Stage 5. Multivariate regression analysis revealed that systolic BP was the only independent factor associated with PWV-DVP. Conclusions: PWV-DVP is correlated with standard PWV-AT in CKD Stage 1 to 4 but not in CKD Stage 5. Because of the difference between PWV-DVP and PWV-AT which represented global arterial stiffness and aortic stiffness, respectively the predictive powers of two arterial stiffness methods in cardiovascular outcome of CKD patients deserved further evaluation, Moreover; considering the traditional cardiovascular risk factors, systolic BP is an independent factor associated with PWV-DVP.
Background: Detection of digital volume pulse (DVP) using photoplethysinography has been employed to evaluate the pulse wave velocity (PWV) and arterial stiffness. The aims oft/ifs study were to introduce a novel method in measuring global arterial stiffness by dual-channel DVP and compared with standard applanation tonometry (AT) in chronic kidney disease (CKD) patients, and to analyze the relationship between PWV-DVP and cardiovascular risk factors. Methods: Arterial stiffness was measured by PWV-AT and PWV-DVP in 70 CKD patients. Correlations between PWV-AT and PWV-DVP as well as relationship between PWV-DVP and cardiovascular risk factors were analyzed. Results: There was a significant correlation between overall PWV-AT and PWV-DVP (r=0.6468, P<0.0001). Further analysis revealed significant correlation between PWV-AT and PWV-DVP in CKD Stages 1 to 2 and in Stages 3 to 4, but not in CKD Stage 5. Multivariate regression analysis revealed that systolic BP was the only independent factor associated with PWV-DVP. Conclusions: PWV-DVP is correlated with standard PWV-AT in CKD Stage 1 to 4 but not in CKD Stage 5. Because of the difference between PWV-DVP and PWV-AT which represented global arterial stiffness and aortic stiffness, respectively the predictive powers of two arterial stiffness methods in cardiovascular outcome of CKD patients deserved further evaluation, Moreover; considering the traditional cardiovascular risk factors, systolic BP is an independent factor associated with PWV-DVP.