Key result
Unified physics-based model improves human ex vivo EDPVR fitting over the Klotz model.
A novel physical model accurately predicts left ventricular pressure-volume relationships, outperforming existing models and providing deeper insights into cardiac mechanics.
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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Zhang et al. (2023) studied Left ventricular cardiac mechanics (EDPVR and ESPVR) (n=80). Physics-based model of EDPVR and ESPVR vs. Exponential model and Klotz curve was evaluated on Mean squared error (MSE) of model fit to physiological EDPVR dataset (pressure up to 20 mmHg). The unified physics-based model accurately fitted human ex vivo EDPVR data within physiological pressures (MSE 2.46 vs 2.48 for exponential and 2.69 for Klotz models).
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