Myocardial Recovery after Ventricular Unloading with Pulsatile- Versus Continuous-Flow Assist Device

Wagner, Florian; Hakmi, Samer; Oelschner, C.; Kubik, M.; Deuse, T.

doi:10.1016/j.healun.2013.01.747

Cited by 1 publication

(1 citation statement)

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“…CF-LVADs have shown to be durable and offer superior clinical outcome (Wieselthaler et al , 2000; Slaughter et al , 2009). Preservation of organ function using CF-LVADs has been demonstrated in a long-term study (Radovancevic et al , 2007) and CF-LVADs have shown to allow myocardial recovery (Guglin and Miller, 2012; Wagner et al , 2013). It is this second generation of CF-LVADs that is the subject of this paper.…”

Section: Introductionmentioning

confidence: 99%

Multi-scale pulsatile CFD modeling of thrombus transport in a patient-specific LVAD implantation

Prather

Kassab

et al. 2017

HFF

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Purpose Predictive models implemented in medical procedures can potentially bring great benefit to patients and represent a step forward in targeted treatments based on a patient’s physiological condition. It is the purpose of this paper to outline such a model. Design/methodology/approach A multi-scale 0D-3D model based on patient specific geometry combines a 0-dimensional lumped parameter model (LPM) with a 3D computational fluid dynamics (CFD) analysis coupled in time, to obtain physiologically viable flow parameters. Findings A comparison of physiological data gathered from literature with flow-field measurements in this model shows the viability of this method in relation to potential predictions of pathological flows repercussions and candidate treatments. Research limitations/implications A limitation of the model is the absence of compliance in the walls in the CFD fluid domain; however, compliance of the peripheral vasculature is accounted for by the LPM. Currently, an attempt is in progress to extend this multi-scale model to account for the fluid-structure interaction of the ventricular assist device vasculature and hemodynamics. Originality/value This work reports on a predictive pulsatile flow model that can be used to investigate surgical alternatives to reduce strokes in LVADs.

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