Your browser doesn't support javascript.
loading
Exploratory Simulation of Thrombosis in a Temporary LVAD Catheter Pump within a Virtual In-vivo Left Heart Environment.
Burgreen, Greg W; Zhussupbekov, Mansur; Rojano, Rodrigo Méndez; Antaki, James F.
Afiliación
  • Burgreen GW; Center for Advanced Vehicular Systems, Mississippi State University, Starkville, MS.
  • Zhussupbekov M; Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY.
  • Rojano RM; Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY.
  • Antaki JF; Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY.
ArXiv ; 2023 Dec 08.
Article en En | MEDLINE | ID: mdl-38106454
ABSTRACT
Percutaneous catheter pumps are intraventricular temporary mechanical circulatory support (MCS) devices that are positioned across the aortic valve into the left ventricle (LV) and provide continuous antegrade blood flow from the LV into the ascending aorta (AA). MCS devices are most often computationally evaluated as isolated devices subject to idealized steady-state blood flow conditions. In clinical practice, MCS devices operate connected to or within diseased pulsatile native hearts and are often complicated by hemocompatibility related adverse events such as stroke, bleeding, and thrombosis. Whereas aspects of the human circulation are increasingly being simulated via computational methods, the precise interplay of pulsatile LV hemodynamics with MCS pump hemocompatibility remains mostly unknown and not well characterized. Technologies are rapidly converging such that next-generation MCS devices will soon be evaluated in virtual physiological environments that increasingly mimic clinical settings. The purpose of this brief communication is to report results and lessons learned from an exploratory CFD simulation of hemodynamics and thrombosis for a catheter pump situated within a virtual in-vivo left heart environment.
Palabras clave

Texto completo: 1 Bases de datos: MEDLINE Idioma: En Revista: ArXiv Año: 2023 Tipo del documento: Article

Texto completo: 1 Bases de datos: MEDLINE Idioma: En Revista: ArXiv Año: 2023 Tipo del documento: Article