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A Lumped Two-Compartment Model for Simulation of Ventricular Pump and Tissue Mechanics in Ischemic Heart Disease

Introduction: Computational modeling of cardiac mechanics and hemodynamics in ischemic heart disease (IHD) is important for a better understanding of the complex relations between ischemia-induced heterogeneity of myocardial tissue properties, regional tissue mechanics, and hemodynamic pump function...

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Detalles Bibliográficos
Autores principales: Koopsen, Tijmen, Van Osta, Nick, Van Loon, Tim, Van Nieuwenhoven, Frans A., Prinzen, Frits W., Van Klarenbosch, Bas R., Kirkels, Feddo P., Teske, Arco J., Vernooy, Kevin, Delhaas, Tammo, Lumens, Joost
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9130776/
https://www.ncbi.nlm.nih.gov/pubmed/35634163
http://dx.doi.org/10.3389/fphys.2022.782592
Descripción
Sumario:Introduction: Computational modeling of cardiac mechanics and hemodynamics in ischemic heart disease (IHD) is important for a better understanding of the complex relations between ischemia-induced heterogeneity of myocardial tissue properties, regional tissue mechanics, and hemodynamic pump function. We validated and applied a lumped two-compartment modeling approach for IHD integrated into the CircAdapt model of the human heart and circulation. Methods: Ischemic contractile dysfunction was simulated by subdividing a left ventricular (LV) wall segment into a hypothetical contractile and noncontractile compartment, and dysfunction severity was determined by the noncontractile volume fraction ( [Formula: see text] ). Myocardial stiffness was determined by the zero-passive stress length ( [Formula: see text] and nonlinearity ( [Formula: see text] ) of the passive stress-sarcomere length relation of the noncontractile compartment. Simulated end-systolic pressure volume relations (ESPVRs) for 20% acute ischemia were qualitatively compared between a two- and one-compartment simulation, and parameters of the two-compartment model were tuned to previously published canine data of regional myocardial deformation during acute and prolonged ischemia and reperfusion. In six patients with myocardial infarction (MI), the [Formula: see text] was automatically estimated using the echocardiographic LV strain and volume measurements obtained acutely and 6 months after MI. Estimated segmental [Formula: see text] values at the baseline and 6-month follow-up were compared with percentage late gadolinium enhancement (LGE) at 6-month follow-up. Results: Simulation of 20% of [Formula: see text] shifted the ESPVR rightward while moderately reducing the slope, while a one-compartment simulation caused a leftward shift with severe reduction in the slope. Through tuning of the [Formula: see text] , [Formula: see text] , and [Formula: see text] , it was found that manipulation of the [Formula: see text] alone reproduced the deformation during acute ischemia and reperfusion, while additional manipulations of [Formula: see text] and [Formula: see text] were required to reproduce deformation during prolonged ischemia and reperfusion. Out of all segments with LGE>25% at the follow-up, the majority (68%) had higher estimated [Formula: see text] at the baseline than at the follow-up. Furthermore, the baseline [Formula: see text] correlated better with percentage LGE than [Formula: see text] did at the follow-up. Conclusion: We successfully used a two-compartment model for simulation of the ventricular pump and tissue mechanics in IHD. Patient-specific optimizations using regional myocardial deformation estimated the [Formula: see text] in a small cohort of MI patients in the acute and chronic phase after MI, while estimated [Formula: see text] values closely approximated the extent of the myocardial scar at the follow-up. In future studies, this approach can facilitate deformation imaging–based estimation of myocardial tissue properties in patients with cardiovascular diseases.