Key result
Mathematical modeling shows severe aortic regurgitation reduces peak diastolic myocardial blood flow by ~22%.
Why the study?
The authors aimed to introduce a comprehensive mathematical model simulating myocardial blood perfusion that integrates multiscale, multiphysics features including cardiac electromechanics, hemodynamics, and perfusion into a single computational framework.
Absolute Event Rate: 68.2% vs 87.5%
The study introduces the first computational framework integrating cardiac electromechanics, hemodynamics, and perfusion, accurately simulating both physiological states and the reduction in myocardial perfusion caused by aortic regurgitation.
Hypothesis-generating for perfusion deficits in severe AR; leaves open clinical translation of this computational model.
The aim of this paper is to introduce a new mathematical model that simulates myocardial blood perfusion that accounts for multiscale and multiphysics features. Our model incorporates cardiac electrophysiology, active and passive mechanics, hemodynamics, valve modeling, and a multicompartment Darcy model of perfusion. We consider a fully coupled electromechanical model of the left heart that provides input for a fully coupled Navier-Stokes-Darcy Model for myocardial perfusion. The fluid dynamics problem is modeled in a left heart geometry that includes large epicardial coronaries, while the multicompartment Darcy model is set in a biventricular myocardium. Using a realistic and detailed cardiac geometry, our simulations demonstrate the biophysical fidelity of our model in describing cardiac perfusion. Specifically, we successfully validate the model reliability by comparing in-silico coronary flow rates and average myocardial blood flow with clinically established values ranges reported in relevant literature. Additionally, we investigate the impact of a regurgitant aortic valve on myocardial perfusion, and our results indicate a reduction in myocardial perfusion due to blood flow taken away by the left ventricle during diastole. To the best of our knowledge, our work represents the first instance where electromechanics, hemodynamics, and perfusion are integrated into a single computational framework.
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Zingaro et al. (2023) studied Cardiac perfusion. Aortic regurgitation simulation vs. Physiological simulation was evaluated on Myocardial Blood Flow (MBF) at diastolic peak. A novel comprehensive mathematical model demonstrated that severe aortic regurgitation reduces myocardial blood flow at the diastolic peak to 68.2 mL/min/100mL compared to 87.5 mL/min/100mL in a physiological scenario.
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