Key result
In a human-based ventricular electromechanical model, 50% to 1000% variations in key mechanical parameters resulted in changes in clinically-relevant mechanical biomarkers ranging from diseased to healthy values.
Why the study?
Biophysically detailed multiscale ventricular electromechanical models are needed to enable future simulations of cardiac disease and drug action.
A novel human-based electromechanical computational model identifies specific mechanical parameters that dominate key clinical biomarkers like ejection fraction and end-systolic pressure.
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Parameter variations can shift model biomarkers across disease-health ranges; leaves open clinical translation pending validation.
Levrero-Florencio et al. (2019) studied Cardiac electromechanics. Variation of mechanical parameters vs. Baseline parameters was evaluated on Mechanical biomarkers (ejection fraction, end-systolic pressure, longitudinal fractional shortening, wall thickening). In a human-based ventricular electromechanical model, 50% to 1000% variations in key mechanical parameters resulted in changes in clinically-relevant mechanical biomarkers ranging from diseased to healthy values.
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