2022
DOI: 10.3389/fphys.2022.830925
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A Closed-Loop Modeling Framework for Cardiac-to-Coronary Coupling

Abstract: The mechanisms by which cardiac mechanics effect coronary perfusion (cardiac-to-coronary coupling) remain incompletely understood. Several coronary models have been proposed to deepen our understanding of coronary hemodynamics, but possibilities for in-depth studies on cardiac-to-coronary coupling are limited as mechanical properties like myocardial stress and strain are most often neglected. To overcome this limitation, a mathematical model of coronary mechanics and hemodynamics was implemented in the previou… Show more

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Cited by 6 publications
(12 citation statements)
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References 94 publications
(239 reference statements)
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“…This discrepancy could be explained by the fact that we studied patients during acute hemodynamic resuscitation phase, where the patients are mostly hemodynamically instable with arterial hypotension and myocardial perfusion mismatch. Several studies have highlighted the complex relationship between ventricular dyssynchrony, aortic blood pressure, coronary flow, and myocardial contractility (32)(33)(34). Tavazzi et al (24) already demonstrated that the underlying disease (i.e., cardiovascular or respiratory) was not associated to ventricular dyssynchrony.…”
Section: Discussionmentioning
confidence: 99%
“…This discrepancy could be explained by the fact that we studied patients during acute hemodynamic resuscitation phase, where the patients are mostly hemodynamically instable with arterial hypotension and myocardial perfusion mismatch. Several studies have highlighted the complex relationship between ventricular dyssynchrony, aortic blood pressure, coronary flow, and myocardial contractility (32)(33)(34). Tavazzi et al (24) already demonstrated that the underlying disease (i.e., cardiovascular or respiratory) was not associated to ventricular dyssynchrony.…”
Section: Discussionmentioning
confidence: 99%
“…The modeling framework presented in this article builds upon the previously validated CircAdapt modeling framework for cardiac-to-coronary coupling ( 18 ) by taking into account demand-driven coronary flow autoregulation. In brief, the CircAdapt modeling framework ( 18 22 ) consists of a network of different modules describing myocardial walls, cardiac valves, large blood vessels, as well as the pulmonary, systemic, and coronary circulations ( www.circadapt.org ). The LV lateral wall, interventricular septum, and RV lateral wall are mechanically coupled in a junction, and ventricular mechanical interaction is established by equilibrium of tensile forces in the junction ( 20 ).…”
Section: Methodsmentioning
confidence: 99%
“…The aim of the present study was to investigate whether coronary autoregulation can explain the distribution of myocardial perfusion and flow reserve as observed in patients with LBBB and to what extent asymmetric hypertrophy influences this distribution. To this purpose, the multiscale CircAdapt modeling framework for cardiac-to-coronary coupling ( 18 ) was built upon by introducing coronary flow regulation to myocardial oxygen demand, enabling investigation of the isolated effect of acute LBBB (dyssynchrony-induced alterations) and chronic LBBB (demand-driven growth-induced alterations) on cardiac mechanics and myocardial oxygen demand, perfusion, and flow reserve. In this modeling framework, regional coronary perfusion is dependent on myocardial contraction through the intramyocardial pressure, which is, in turn, determined by global pump mechanics and regional myofiber mechanics.…”
Section: Introductionmentioning
confidence: 99%
“…The 0D‐lumped parameter models are the most simplified and computationally inexpensive approach for describing blood flow and pressure dynamics in the cardiovascular system, especially when modeling the entire coronary system or large‐scale circulatory networks. These models are formulated based on a set of ordinary differential equations (ODEs) to represent the overall behavior of blood flow and pressure in discrete compartments such as individual vessels or segments (Fan, Choy, et al, 2021; Fan, Namani, Choy, Awakeem, et al, 2021; Fan, Namani, Choy, Kassab, et al, 2021; Fan et al, 2022; Pagoulatou et al, 2021; Munneke et al, 2022; Namani et al, 2020; Wang et al, 2024). For example, mass conservation in each vessel i within a circulation network requires PiniPmidiR1i+PoutiPmidiR2i=Cid()PTigoodbreak−Pmididt, where Pini and Pouti are the inlet and outlet pressures of the vessel i, Pmidi denotes the vessel pressure and PnormalTi is the intramyocardial pressure.…”
Section: Coronary Circulation/vasculaturementioning
confidence: 99%
“…Existing cardiac–coronary mathematical models are either geometrically simplified (Fan, Namani, Choy, Kassab, et al, 2021; Fan et al, 2022; Munneke et al, 2022) in terms of myocardium and coronary vasculature or homogenized based on the poroelastic modeling framework (Chapelle et al, 2010; Lee, Nordsletten, et al, 2016; Richardson et al, 2021). These models do not capture complete anatomical, morphological, and structural details of the coronary vasculature, especially the microcirculation where blood transport and flow regulation are significant.…”
Section: Future Directionsmentioning
confidence: 99%