Affiliation:
1. J. Mike Walker '66 Department of Mechanical Engineering Texas A&M University College Station Texas USA
2. Department of Biomedical Engineering Texas A&M University College Station Texas USA
3. Houston Methodist, Department of Cardiology Houston Methodist Research Hospital Houston Texas USA
Abstract
AbstractBackgroundHemocompatibility‐related adverse events (HRAE) occur commonly in patients with left ventricular assist devices (LVADs) and add to morbidity and mortality. It is unclear whether the outflow graft orientation can impact flow conditions leading to HRAE. This study presents a simulation‐based approach using exact patient anatomy from medical images to investigate the influence of outflow cannula orientation in modulating flow conditions leading to HRAEs.MethodsA 3D model of a proximal aorta and outflow graft was reconstructed from a computed tomography (CT) scan of an LVAD patient and virtually modified to model multiple cannula orientations (n = 10) by varying polar (cranio‐caudal) (n = 5) and off‐set (anterior–posterior) (n = 2) angles. Time‐dependent computational flow simulations were then performed for each anatomical orientation. Qualitative and quantitative hemodynamics metrics of thrombogenicity including time‐averaged wall shear stress (TAWSS), oscillatory shear index (OSI), endothelial cell platelet activation potential (ECAP), particle residence time (PRT), and platelet activation potential (PLAP) were analyzed.ResultsWithin the simulations performed, endothelial cell activation potential (ECAP) and particle residence time (PRT) were found to be lowest with a polar angle of 85°, regardless of offset angle. However, polar angles that produced parameters at levels least associated with thrombosis varied when the offset angle was changed from 0° to 12°. For offset angles of 0° and 12° respectively, flow shear was lowest at 65° and 75°, time averaged wall shear stress (TAWSS) was highest at 85° and 35°, and platelet activation potential (PLAP) was lowest at 65° and 45°.ConclusionThis study suggests that computational fluid dynamic modeling based on patient‐specific anatomy can be a powerful analytical tool when identifying optimal positioning of an LVAD. Contrary to previous work, our findings suggest that there may be an “ideal” outflow cannula for each individual patient based on a CFD‐based hemocompatibility profile.
Funder
National Science Foundation
Texas A and M University
Subject
Biomedical Engineering,General Medicine,Biomaterials,Medicine (miscellaneous),Bioengineering