Efficient uncertainty quantification in a spatially multiscale model of pulmonary arterial and venous hemodynamics.

ABSTRACT: Pulmonary hypertension (PH) is a debilitating disease that alters the structure and function of both the proximal and distal pulmonary vasculature. This alters pressure-flow relationships in the pulmonary arterial and venous trees, though there is a critical knowledge gap in the relationships between proximal and distal hemodynamics in disease. Multiscale computational models enable simulations in both the proximal and distal vasculature. However, model inputs and measured data are inherently uncertain, requiring a full analysis of the sensitivity and uncertainty of the model. Thus, this study quantifies model sensitivity and output uncertainty in a spatially multiscale, pulse-wave propagation model of pulmonary hemodynamics. The model includes fifteen proximal arteries and twelve proximal

SUBMITTER: Colebank MJ 

PROVIDER: S-EPMC11554845 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature