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- Title
Associations of Novel and Traditional Vascular Biomarkers of Arterial Stiffness: Results of the SAPALDIA 3 Cohort Study.
- Authors
Endes, Simon; Caviezel, Seraina; Schaffner, Emmanuel; Dratva, Julia; Schindler, Christian; Künzli, Nino; Bachler, Martin; Wassertheurer, Siegfried; Probst-Hensch, Nicole; Schmidt-Trucksäss, Arno
- Abstract
Background and Objectives: There is a lack of evidence concerning associations between novel parameters of arterial stiffness as cardiovascular risk markers and traditional structural and functional vascular biomarkers in a population-based Caucasian cohort. We examined these associations in the second follow-up of the Swiss Cohort Study on Air Pollution and Lung and Heart Diseases in Adults (SAPALDIA 3). Methods: Arterial stiffness was measured oscillometrically by pulse wave analysis to derive the cardio-ankle vascular index (CAVI), brachial-ankle (baPWV) and aortic pulse wave velocity (aPWV), and amplitude of the forward and backward wave. Carotid ultrasonography was used to measure carotid intima-media thickness (cIMT) and carotid lumen diameter (LD), and to derive a distensibility coefficient (DC). We used multivariable linear regression models adjusted for several potential confounders for 2,733 people aged 50–81 years. Results: CAVI, aPWV and the amplitude of the forward and backward wave were significant predictors of cIMT (p < 0.001). All parameters were significantly associated with LD (p < 0.001), with aPWV and the amplitude of the forward wave explaining the highest proportion of variance (2%). Only CAVI and baPWV were significant predictors of DC (p < 0.001), explaining more than 0.3% of the DC variance. Conclusion: We demonstrated that novel non-invasive oscillometric arterial stiffness parameters are differentially associated with specific established structural and functional local stiffness parameters. Longitudinal studies are needed to follow-up on these cross-sectional findings and to evaluate their relevance for clinical phenotypes.
- Subjects
ARTERIAL diseases; BIOMARKERS; CARDIOVASCULAR diseases risk factors; DIAGNOSTIC ultrasonic imaging; COHORT analysis; DIAGNOSIS
- Publication
PLoS ONE, 2016, Vol 11, Issue 9, p1
- ISSN
1932-6203
- Publication type
Case Study
- DOI
10.1371/journal.pone.0163844