Multiscale Modeling Of Blood Flow To Assess Neurological Complications In Patients Supported By Venoarterial Extracorporeal Membrane Oxygenation

Computational blood flow models in large arteries elucidate valuable relationships between cardiovascular diseases and hemodynamics, leading to improvements in treatment planning and clinical decision making. One such application with potential to benefit from simulation is venoarterial extracorporeal membrane oxygenation (VA-ECMO), a support system for patients with cardiopulmona r y failure. VA-ECMO patients develop high rates of neurological complications, partially due to abnormal blood flow throughout the vasculature from the VAECMO system. To better understand these hemodynamic changes, it is important to resolve complex local flow parameters derived from three-dimensional (3D) fluid dynamics while also capturing the impact of VAECMO support throughout the systemic arterial system. As high-resolution 3D simulations of the arterial network remain computationally expensive and intractable for large studies, a validated , multiscale model is needed to compute both global effects and high-fidelity local hemodynamics. In this work, we developed and demonstrated a framework to model hemodynamics in VA-ECMO patients using coupled 3D and onedimensional (1D) models (1D -> 3D). We demonstrated the ability of these multiscale models to simulate complex flow patterns in specific regions of interest while capturing bu l k flow throughout the systemic arterial system. We compared 1D, 3D, and 1D -> 3D coupled models and found that multiscale models were able to sufficiently captu r e both global and local hemodynamics in the cerebral arteries and aorta in VA-ECMO patients. This study is the first to develop and compare 1D, 3D, and 1D -> 3D coupled models on the larger arterial system scale in VA-ECMO patients, with potential use for other large scale applications.