English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Computational hemodynamics models are becoming increasingly useful in themanagement and prognosis of complex, multiscale pathologies, including thoseattributed to the development of pulmonary vascular disease. However, diseaseslike pulmonary hypertension are heterogeneous, and affect both the proximalarteries and veins as well as the microcirculation. Simulation tools and thedata used for model calibration are also inherently uncertain, requiring a fullanalysis of the sensitivity and uncertainty attributed to model inputs andoutputs. Thus, this study quantifies model sensitivity and output uncertaintyin a multiscale, pulse-wave propagation model of pulmonary hemodynamics. Ourpulmonary circuit model consists of fifteen proximal arteries and twelveproximal veins, connected by a two-sided, structured tree model of the distalvasculature. We use polynomial chaos expansions to expedite the sensitivity anduncertainty quantification analyses and provide results for both the proximaland distal vasculature. Our analyses provide uncertainty in blood pressure,flow, and wave propagation phenomenon, as well as wall shear stress and cyclicstretch, both of which are important stimuli for endothelial cellmechanotransduction. We conclude that, while nearly all the parameters in oursystem have some influence on model predictions, the parameters describing thedensity of the microvascular beds have the largest effects on all simulatedquantities in both the proximal and distal circulation.

Efficient Uncertainty Quantification in a Multiscale Model of Pulmonary Arterial and Venous Hemodynamics