Data-driven computational models of ventricular-arterial hemodynamics in pediatric pulmonary arterial hypertension.

ABSTRACT: Pulmonary arterial hypertension (PAH) is a complex disease involving increased resistance in the pulmonary arteries and subsequent right ventricular (RV) remodeling. Ventricular-arterial interactions are fundamental to PAH pathophysiology but are rarely captured in computational models. It is important to identify metrics that capture and quantify these interactions to inform our understanding of this disease as well as potentially facilitate patient stratification. Towards this end, we developed and calibrated two multi-scale high-resolution closed-loop computational models using open-source software: a high-resolution arterial model implemented using CRIMSON, and a high-resolution ventricular model implemented using FEniCS. Models were constructed with clinical data including non-invasiv

SUBMITTER: Tossas-Betancourt C 

PROVIDER: S-EPMC9490558 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature