Genesis of the characteristic pulmonary venous pressure waveform as described by the reservoir‐wave model

Bouwmeester, J. Christopher; Belenkie, Israel; Shrive, Nigel G.; Tyberg, John V.

doi:10.1113/jphysiol.2014.272963

Cited by 8 publications

(1 citation statement)

References 45 publications

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“…For the steady flow simulation, a uniform inflow velocity profile with an axial velocity component of 0.1 m/s and a transverse velocity component equaling zero were used at the inlet. The pressure was set to 800 Pa18, whereas in the outlet cross-section, it was set to 0 Pa19. The vena cava vessel wall was assumed to be rigid and non-slippery.…”

Section: Simulation Methodsmentioning

confidence: 99%

Improvement of hemodynamic performance using novel helical flow vena cava filter design

Chen

Zhang

Deng

et al. 2017

Sci Rep

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We propose a vena cava filter in which helical flow is created in the filter’s working zone to minimize filter blockage by trapped clots and facilitate the lysis of trapped clots. To validate this new design, we compared five helical flow inducers with different thread pitches in terms of blood flow patterns in the filter. The vena cava was reconstructed based on computed tomography images. Both the numerical simulation and in vitro experiment revealed that the helical flow inducer can effectively create a helical flow in the vessel, thereby subduing the filter structure’s adverse disruption to blood flow, and increasing flow-induced shear stress in the filter center. In addition, the smaller thread pitch helical flow inducer reduced the oscillating shear index and relative residence time on the vessel wall. Moreover, we observed that the helical flow inducer in the vena cava could induce flow rotation both in clockwise and counterclockwise directions. In conclusion, the new design of the filter with the smaller thread pitch inducer is advantageous over the traditional filter in terms of improving local hemodynamics, which may reduce thrombosis build-up after deployment.

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Section: Simulation Methodsmentioning

confidence: 99%

Improvement of hemodynamic performance using novel helical flow vena cava filter design

Chen

Zhang

Deng

et al. 2017

Sci Rep

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Fluid–structure interaction in a fully coupled three-dimensional mitral–atrium–pulmonary model

Feng

Gao

et al. 2021

Biomech Model Mechanobiol

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This paper aims to investigate detailed mechanical interactions between the pulmonary haemodynamics and left heart function in pathophysiological situations (e.g. atrial fibrillation and acute mitral regurgitation). This is achieved by developing a complex computational framework for a coupled pulmonary circulation, left atrium and mitral valve model. The left atrium and mitral valve are modelled with physiologically realistic three-dimensional geometries, fibre-reinforced hyperelastic materials and fluid–structure interaction, and the pulmonary vessels are modelled as one-dimensional network ended with structured trees, with specified vessel geometries and wall material properties. This new coupled model reveals some interesting results which could be of diagnostic values. For example, the wave propagation through the pulmonary vasculature can lead to different arrival times for the second systolic flow wave (S2 wave) among the pulmonary veins, forming vortex rings inside the left atrium. In the case of acute mitral regurgitation, the left atrium experiences an increased energy dissipation and pressure elevation. The pulmonary veins can experience increased wave intensities, reversal flow during systole and increased early-diastolic flow wave (D wave), which in turn causes an additional flow wave across the mitral valve (L wave), as well as a reversal flow at the left atrial appendage orifice. In the case of atrial fibrillation, we show that the loss of active contraction is associated with a slower flow inside the left atrial appendage and disappearances of the late-diastole atrial reversal wave (AR wave) and the first systolic wave (S1 wave) in pulmonary veins. The haemodynamic changes along the pulmonary vessel trees on different scales from microscopic vessels to the main pulmonary artery can all be captured in this model. The work promises a potential in quantifying disease progression and medical treatments of various pulmonary diseases such as the pulmonary hypertension due to a left heart dysfunction.

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Efficient uncertainty quantification in a spatially multiscale model of pulmonary arterial and venous hemodynamics

Colebank,

Chesler

2024

Biomech Model Mechanobiol

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Pulmonary hypertension (PH) is a debilitating disease that alters the structure and function of both the proximal and distal pulmonary vasculature. This alters pressure-flow relationships in the pulmonary arterial and venous trees, though there is a critical knowledge gap in the relationships between proximal and distal hemodynamics in disease. Multiscale computational models enable simulations in both the proximal and distal vasculature. However, model inputs and measured data are inherently uncertain, requiring a full analysis of the sensitivity and uncertainty of the model. Thus, this study quantifies model sensitivity and output uncertainty in a spatially multiscale, pulse-wave propagation model of pulmonary hemodynamics. The model includes fifteen proximal arteries and twelve proximal veins, connected by a two-sided, structured tree model of the distal vasculature. We use polynomial chaos expansions to expedite sensitivity and uncertainty quantification analyses and provide results for both the proximal and distal vasculature. We quantify uncertainty in blood pressure, blood flow rate, wave intensity, wall shear stress, and cyclic stretch. The latter two are important stimuli for endothelial cell mechanotransduction. We conclude that, while nearly all the parameters in our system have some influence on model predictions, the parameters describing the density of the microvascular beds have the largest effects on all simulated quantities in both the proximal and distal arterial and venous circulations.

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Genesis of the characteristic pulmonary venous pressure waveform as described by the reservoir‐wave model

Cited by 8 publications

References 45 publications

Improvement of hemodynamic performance using novel helical flow vena cava filter design

Improvement of hemodynamic performance using novel helical flow vena cava filter design

Fluid–structure interaction in a fully coupled three-dimensional mitral–atrium–pulmonary model

Efficient uncertainty quantification in a spatially multiscale model of pulmonary arterial and venous hemodynamics

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