Zhang Yunxiao, Kalhöfer-Köchling Moritz, Bodenschatz Eberhard, Wang Yong
Laboratory for Fluid Physics, Pattern Formation and Biocomplexity, Max Planck Institute for Dynamics and Self-Organization, Göttingen, Germany.
DZHK (German Center for Cardiovascular Research), Partner Site Göttingen, Göttingen, Germany.
Front Physiol. 2023 Aug 21;14:1195502. doi: 10.3389/fphys.2023.1195502. eCollection 2023.
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 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.
以舒张末期压力-容积关系（EDPVR）和收缩末期压力-容积关系（ESPVR）为特征的左心室僵硬度和收缩性，是人体心脏功能的两个重要指标。尽管已经对EDPVR和ESPVR进行了大量研究，但尚未提出一个具有可物理解释参数且结合了这两种关系的模型，从而影响了对心脏生理学和病理学的理解。在此，我们提出一个模型，该模型在统一框架内通过对参数进行物理解释来评估EDPVR和ESPVR。我们基于物理的模型能够很好地拟合现有实验数据和结果，并且优于现有模型。通过规定参数，新模型被用于预测左心室的压力-容积关系。我们的模型能更深入地理解心脏力学，因此将在心脏研究和临床医学中得到应用。
