Literature DB >> 25691396

A strain-based model for mechanical hemolysis based on a coarse-grained red blood cell model.

Hussein M Ezzeldin1, Marco D de Tullio, Marcos Vanella, Santiago D Solares, Elias Balaras.   

Abstract

Mechanical hemolysis is a major concern in the design of cardiovascular devices, such as prosthetic heart valves and ventricular assist devices. The primary cause of mechanical hemolysis is the impact of the device on the local blood flow, which exposes blood elements to non-physiologic conditions. The majority of existing hemolysis models correlate red blood cell (RBC) damage to the imposed fluid shear stress and exposure time. Only recently more realistic, strain-based models have been proposed, where the RBC's response to the imposed hydrodynamic loading is accounted for. In the present work we extend strain-based models by introducing a high-fidelity representation of RBCs, which is based on existing coarse-grained particle dynamics approach. We report a series of numerical experiments in simple shear flows of increasing complexity, to illuminate the basic differences between existing models and establish their accuracy in comparison to the high-fidelity RBC approach. We also consider a practical configuration, where the flow through an artificial heart valve is computed. Our results shed light on the strengths and weaknesses of each approach and identify the key gaps that should be addressed in the development of new models.

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Year:  2015        PMID: 25691396     DOI: 10.1007/s10439-015-1273-z

Source DB:  PubMed          Journal:  Ann Biomed Eng        ISSN: 0090-6964            Impact factor:   3.934


  3 in total

1.  A Cellular Model of Shear-Induced Hemolysis.

Authors:  Salman Sohrabi; Yaling Liu
Journal:  Artif Organs       Date:  2017-01-03       Impact factor: 3.094

2.  Prediction of mechanical hemolysis in medical devices via a Lagrangian strain-based multiscale model.

Authors:  Mehdi Nikfar; Meghdad Razizadeh; Jiafeng Zhang; Ratul Paul; Zhongjun J Wu; Yaling Liu
Journal:  Artif Organs       Date:  2020-03-05       Impact factor: 3.094

3.  Cell Damage Index as Computational Indicator for Blood Cell Activation and Damage.

Authors:  Markus Gusenbauer; Renáta Tóthová; Giulia Mazza; Martin Brandl; Thomas Schrefl; Iveta Jančigová; Ivan Cimrák
Journal:  Artif Organs       Date:  2018-04-02       Impact factor: 3.094

  3 in total

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