• DocumentCode
    3201866
  • Title

    Effect of large arteries on blood pressure variability

  • Author

    Avolio, Alberto P. ; Ke Xu ; Butlin, Mark

  • Author_Institution
    Australian Sch. of Adv. Med., Macquarie Univ., Sydney, NSW, Australia
  • fYear
    2013
  • fDate
    3-7 July 2013
  • Firstpage
    4078
  • Lastpage
    4081
  • Abstract
    Blood pressure (BP) variability is generally considered to be due to neurogenic influences on arterioles modulating peripheral resistance, as well as variations in stroke volume (SV). However, for a given change in peripheral resistance or SV, the degree of BP variability is modulated by the stiffness of large conduit arteries. Recent epidemiological evidence shows that cardiovascular risk is not only related to the average arterial pressure, but also to the degree of diurnal variability. In addition, short-term variability has been shown to be related to aortic stiffness measured as pulse wave velocity, a strong independent predictor of cardiovascular risk. This study addresses the relation between large artery stiffness and BP variability using a lumped parameter model of the systemic circulation described by total arterial compliance, total peripheral resistance (TPR) and aortic characteristic impedance. The variability in TPR is simulated using a random function with a Gaussian distribution and changes in arterial stiffness are simulated by variation in compliance, where compliance is either linear (pressure independent) or nonlinear (pressure dependent). Simulation results show that (i) BP variability is greater when due to changes in TPR compared to similar relative changes in SV, (ii) pressure dependency of arterial stiffness results in a curvilinear relation between systolic BP variability and mean arterial pressure (MAP), such that a critical mean pressure (MAPc) exists for minimal BP variability, (iii) increase in arterial stiffness (as occurs with aging) result in a higher MAPc for minimal BP variability, or increased BP variability at older age for similar values of MAP. These findings suggest that interventions aimed at reducing BP variability will need to consider large artery stiffness for optimal efficacy.
  • Keywords
    Gaussian distribution; biomechanics; blood vessels; elasticity; haemodynamics; physiological models; Gaussian distribution; MAP; aortic characteristic impedance; aortic stiffness; arterioles; average arterial pressure; blood pressure variability; cardiovascular risk; critical mean pressure; diurnal variability degree; large artery effects; large artery stiffness; large conduit artery stiffness; mean arterial pressure; neurogenic influences; nonlinear compliance; pressure dependent compliance; pressure independent compliance; pulse wave velocity; short term variability; stroke volume variation; systemic circulation; total arterial compliance; total peripheral resistance; Arteries; Biomedical monitoring; Blood pressure; Heart rate; Hypertension; Integrated circuit modeling; Mathematical model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE
  • Conference_Location
    Osaka
  • ISSN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/EMBC.2013.6610441
  • Filename
    6610441