Biomechanics of Myocardial Ischemia and Infarction

Witzenburg, Colleen M.; Holmes, Jeffrey W.

doi:10.1007/978-3-319-41475-1_6

Cited by 3 publications

(3 citation statements)

References 77 publications

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“…A well-functioning heart is critical to the quality of human life ( Gilbert et al, 2007 ). The pump function of the heart can be captured by the pressure-volume (PV) loop, which is a simple and useful framework for analyzing cardiac mechanics from a physical perspective ( Witzenburg et al, 2017 ). Deoxygenated blood is pumped from the right ventricle (RV) to the lungs, and in turn, oxygenated blood is pumped from the left ventricle (LV) to the rest of the body.…”

Section: Introductionmentioning

confidence: 99%

“…In addition, the risk of heart failure for non-heart failure individuals was found to be associated with the changes in LV capacitance and stiffness, which can be extracted from the EDPVR. Witzenburg and Holmes ( Witzenburg et al, 2017 ) stated that EDPVR contains information not only about the mechanical properties of the myocardium but also about LV geometry. Since cardiac diseases alter the shape or stiffness of the heart and thus the EDPVR, the EDPVR is important and helpful to clinicians.…”

Section: Introductionmentioning

confidence: 99%

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Physical model of end-diastolic and end-systolic pressure-volume relationships of a heart

Zhang,

Kalhöfer-Köchling,

Bodenschatz

et al. 2023

Front. Physiol.

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Left ventricular stiffness and contractility, characterized by the end-diastolic pressure-volume relationship (EDPVR) and the end-systolic pressure-volume relationship (ESPVR), are two important indicators of the performance of the human heart. Although much research has been conducted on EDPVR and ESPVR, no model with physically interpretable parameters combining both relationships has been presented, thereby impairing the understanding of cardiac physiology and pathology. Here, we present a model that evaluates both EDPVR and ESPVR with physical interpretations of the parameters in a unified framework. Our physics-based model fits the available experimental data and in silico results very well and outperforms existing models. With prescribed parameters, the new model is used to predict the pressure-volume relationships of the left ventricle. Our model provides a deeper understanding of cardiac mechanics and thus will have applications in cardiac research and clinical medicine.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Physical model of end-diastolic and end-systolic pressure-volume relationships of a heart

Zhang,

Kalhöfer-Köchling,

Bodenschatz

et al. 2023

Front. Physiol.

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show abstract

“…The vast literature about computational models in cardiac electrophysiology has made it possible to simulate most of the complex mechanisms leading to cardiac arrhythmogenesis, particularly when using highly-detailed anatomical models of the heart 18 , 19 . For instance, through MRI-based canine ventricular geometries, the arrangement and size of the peri-infarct (border) zone (BZ) were shown to be related to electrical excitation wavebreaks and onset of subsequent arrhythmias 20 .…”

Section: Introductionmentioning

confidence: 99%

In-silico study of the cardiac arrhythmogenic potential of biomaterial injection therapy

Ramírez

Gizzi

Sack

et al. 2020

Sci Rep

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Biomaterial injection is a novel therapy to treat ischemic heart failure (HF) that has shown to reduce remodeling and restore cardiac function in recent preclinical studies. While the effect of biomaterial injection in reducing mechanical wall stress has been recently demonstrated, the influence of biomaterials on the electrical behavior of treated hearts has not been elucidated. In this work, we developed computational models of swine hearts to study the electrophysiological vulnerability associated with biomaterial injection therapy. The propagation of action potentials on realistic biventricular geometries was simulated by numerically solving the monodomain electrophysiology equations on anatomically-detailed models of normal, HF untreated, and HF treated hearts. Heart geometries were constructed from high-resolution magnetic resonance images (MRI) where the healthy, peri-infarcted, infarcted and gel regions were identified, and the orientation of cardiac fibers was informed from diffusion-tensor MRI. Regional restitution properties in each case were evaluated by constructing a probability density function of the action potential duration (APD) at different cycle lengths. A comparative analysis of the ventricular fibrillation (VF) dynamics for every heart was carried out by measuring the number of filaments formed after wave braking. Our results suggest that biomaterial injection therapy does not affect the regional dispersion of repolarization when comparing untreated and treated failing hearts. Further, we found that the treated failing heart is more prone to sustain VF than the normal heart, and is at least as susceptible to sustained VF as the untreated failing heart. Moreover, we show that the main features of VF dynamics in a treated failing heart are not affected by the level of electrical conductivity of the biogel injectates. This work represents a novel proof-of-concept study demonstrating the feasibility of computer simulations of the heart in understanding the arrhythmic behavior in novel therapies for HF.

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Don’t go breakin’ my heart: cardioprotective alterations to the mechanical and structural properties of reperfused myocardium during post-infarction inflammation

2023

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Biomechanics of Myocardial Ischemia and Infarction

Cited by 3 publications

References 77 publications

Physical model of end-diastolic and end-systolic pressure-volume relationships of a heart

Physical model of end-diastolic and end-systolic pressure-volume relationships of a heart

In-silico study of the cardiac arrhythmogenic potential of biomaterial injection therapy

Don’t go breakin’ my heart: cardioprotective alterations to the mechanical and structural properties of reperfused myocardium during post-infarction inflammation

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