A constitutive modeling interpretation of the relationship among carotid artery stiffness, blood pressure, and age in hypertensive subjects

Spronck, Bart; Heusinkveld, Maarten H. G.; Donders, Wouter P.; Lepper, Anouk G.W. de; Roodt, Jos Op ‘t; Kroon, Abraham A.; Delhaas, Tammo; Reesink, Koen D.

doi:10.1152/ajpheart.00290.2014

Cited by 28 publications

(56 citation statements)

References 64 publications

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“…According to the literature, aging has a significant effect on the structure and function of the arterial wall [31,32]. They studied the evolution of structural components for the human thoracic aorta from the strain energy function considering the composition of the soft tissue, and the axial stretch and residual strain in the biomechanical analysis were considered in order to examine the variation of the collagen fiber.…”

Section: Discussionmentioning

confidence: 99%

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Determination of the Material Parameters in the Holzapfel-Gasser-Ogden Constitutive Model for Simulation of Age-Dependent Material Nonlinear Behavior for Aortic Wall Tissue under Uniaxial Tension

et al. 2019

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In this study, computational simulations and experiments were performed to investigate the mechanical behavior of the aorta wall because of the increasing occurrences of aorta-related diseases. The study focused on the deformation and strength of porcine and healthy human abdominal aortic tissues under uniaxial tensile loading. The experiments for the mechanical behavior of the arterial tissue were conducted using a uniaxial tensile test apparatus to validate the simulation results. In addition, the strength and stretching of the tissues in the abdominal aorta of a healthy human as a function of age were investigated based on the uniaxial tensile tests. Moreover, computational simulations using the ABAQUS finite element analysis program were conducted on the experimental scenarios based on age, and the Holzapfel-Gasser-Ogden (HGO) model was applied during the simulation. The material parameters and formulae to be used in the HGO model were proposed to identify the failure stress and stretch correlation with age.abdominal aorta specimens were investigated and analyzed based on age, and the material constants associated with the elastic modulus, stress, and strain in the numerical model were estimated from the numerical simulations according to age. From these results, the correlation between age and material constants was examined, and the formulae for estimating material constants based on age were proposed.

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Section: Discussionmentioning

confidence: 99%

“…In this study, the increase of stretch and the decrease of stress and Young's modulus in the aortic tissue were investigated with the progress of age from the literature [17,31,32]. Moreover, the numerical simulations considering the variation rate of the material constants based on the age were conducted.…”

Section: Discussionmentioning

confidence: 99%

Determination of the Material Parameters in the Holzapfel-Gasser-Ogden Constitutive Model for Simulation of Age-Dependent Material Nonlinear Behavior for Aortic Wall Tissue under Uniaxial Tension

et al. 2019

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“…Our BP correction method using mathematical modeling incorporates the nonlinear relationship between BP and cfPWV, and it is based on an assumed exponential P-A relationship. 23 However, the exact exponential nature of this relationship can be debated, as other descriptives 47 as well as P-A relationship based on the actual wall constituents [48][49][50] have also been proposed. Nevertheless, the exponential relationship provides an acceptable compromise between accuracy and practical use.…”

Section: Discussionmentioning

confidence: 99%

Heart Rate Dependency of Large Artery Stiffness

et al. 2016

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Tan et al Heart Rate Dependency of Large Artery Stiffness 237 Hemodynamic MeasurementsBrachial BP, central aortic BP, and cfPWV were determined by cuffbased pulse wave analysis (SphygmoCor XCEL, AtCor, Sydney, Australia). Brachial BP was obtained by oscillometric method with a brachial cuff positioned on the right arm, and central aortic waveform was derived from the brachial BP volume displacement waveform using a validated transfer function. 16 For measurement of cfPWV, the carotid and femoral pulse waveforms were obtained by tonometry on the skin above the right carotid artery and by a cuff placed on the right upper thigh, respectively. 17,18 Subtraction method for path length was used to calculate cfPWV, whereby the path length was calculated as the distance between the sternal notch and the carotid site subtracted from the distance between the sternal notch and top of the thigh cuff. 17 In a subset of the study's cohort (n=45), beat-to-beat stroke volume (SV), cardiac output (CO), and total peripheral resistance (TPR) were determined from the finger arterial pressure waveform using the Modelflow method (Finometer PRO, Finapres Medical Systems, Amsterdam, The Netherlands). 19 Study ProtocolSubjects were advised to refrain from caffeine and fatty meals 4 hours before their study appointment, but to continue with their prescribed medications. There were no current tobacco users in the cohort. After 10 minutes of seated rest, seated brachial BP was measured in duplicate (SphygmoCor XCEL). After a further 10 minutes of supine rest, finger arterial pressure waveform was measured from the left middle finger (Finometer PRO) to obtain SV, CO, and TPR. Brachial and central aortic BP and cfPWV were then obtained (SphygmoCor XCEL). Subjects were then paced in a randomized sequence at 60, 70, 80, 90, and 100 bpm using their prescribed pacemaker settings, with BP and cfPWV measurements repeated at each pacing step after 3 minutes of stabilization. ECG was also acquired continuously for the duration of the study for monitoring of HR (PowerLab acquisition system, LabChart software, ADInstruments, Dunedin, New Zealand), and SV, CO, and TPR from the Finometer PRO device were also recorded via PowerLab and LabChart. The average duration for study protocol completion was 60 minutes. Data AnalysisFor pulse wave analysis, brachial and central aortic BP waveforms were averaged >5 s, and cfPWV was averaged >10 s. Observations with measured HR differing from the paced rate by >5 bpm were excluded from the analysis, and the lowest pace rates of 60 and 70 bpm were not achievable in some subjects because of a higher unpaced resting HR. A linear mixed model with maximum likelihood was used to determine the effects of HR on each measured variable, with paced HR modeled as the fixed effect and the random effect modeled as the intercept for each individual (Equation 1).where Yij denotes the outcome measure at a particular paced HR for one individual, ε ij , the residual of variances, and u j , the random effect becase of individual subjec...

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“…Previously, we have used pressure and diameter measurements (i.e. the pressure-diameter relation) to quantify age-related changes in mechanical properties of the collagen-elastin matrix in the carotid artery wall [9]. These matrix properties were estimated by means of fitting a biomechanical model to the measurements.…”

Section: Discussionmentioning

confidence: 99%

Head orientation should be considered in ultrasound studies on carotid artery distensibility

Holtackers

Spronck

Heusinkveld

et al. 2016

Journal of Hypertension

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A constitutive modeling interpretation of the relationship among carotid artery stiffness, blood pressure, and age in hypertensive subjects

Cited by 28 publications

References 64 publications

Determination of the Material Parameters in the Holzapfel-Gasser-Ogden Constitutive Model for Simulation of Age-Dependent Material Nonlinear Behavior for Aortic Wall Tissue under Uniaxial Tension

Determination of the Material Parameters in the Holzapfel-Gasser-Ogden Constitutive Model for Simulation of Age-Dependent Material Nonlinear Behavior for Aortic Wall Tissue under Uniaxial Tension

Heart Rate Dependency of Large Artery Stiffness

Head orientation should be considered in ultrasound studies on carotid artery distensibility

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