Predicting Device‐Induced Platelet Damage in Assisted Circulation Using a New Biophysical Model and Experimental Validation

ABSTRACT Background Platelet activation and receptor shedding caused by non‐physiological shear stress remain a critical challenge in the design and clinical performance of circulatory assist devices. Computational fluid dynamics (CFD)‐based approaches have been widely used by coupling flow‐derived scalar shear stress with empirical damage models to predict platelet activation. In this study, we evaluate the effectiveness of our recently proposed biophysical damage model for predicting platelet activation and receptor shedding caused by circulatory assist devices. Methods Four rotary blood pumps have been chosen for this study: One axial pump (HeartMate II) and three centrifugal pumps (HeartMate 3, BrioVAD, and CentriMag). CFD simulations were performed under three clinically relevant circulatory support conditions: HeartMate II, HeartMate 3, BrioVAD at a pressure head of 75 mmHg, along with CentriMag at pressure heads of 75, 150, and 350 mmHg. The resulting platelet damage indices were compared with experimentally measured platelet activation (PAC‐1 expression) and receptor shedding (GPIbα and GPVI) data. Results HeartMate 3, BrioVAD, and CentriMag operating at 75 mmHg caused the lowest levels of platelet activation and receptor shedding, while CentriMag, operating at 350 mmHg, produced the highest, 10 times more activation, and six times more receptor shedding compared to at 75 mmHg. Strong correlations were observed between CFD predicted and in vitro data for all biomarkers (), with the highest agreement observed for GPVI shedding (). Conclusion The biophysical model preserved the relative trends observed previously with the power‐law formulation, while demonstrating improved agreement with experimental data.

Authors

Institutions

Publication Details

Journal
Artificial Organs
Published
2026-09-04
DOI
https://doi.org/10.1111/aor.70233
Primary Topic
Mechanical Circulatory Support Devices
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Predicting Device‐Induced Platelet Damage in Assisted Circulation Using a New Biophysical Model and Experimental Validation

Zhongjun J. Wu, Dong Han, Bartley P. Griffith, Anik Tarafder
Artificial Organs
Mechanical Circulatory Support Devices
article

Predicting Device‐Induced Platelet Damage in Assisted Circulation Using a New Biophysical Model and Experimental Validation

Zhongjun J. Wu, Dong Han, Bartley P. Griffith, Anik Tarafder
article en

Abstract

ABSTRACT Background Platelet activation and receptor shedding caused by non‐physiological shear stress remain a critical challenge in the design and clinical performance of circulatory assist devices. Computational fluid dynamics (CFD)‐based approaches have been widely used by coupling flow‐derived scalar shear stress with empirical damage models to predict platelet activation. In this study, we evaluate the effectiveness of our recently proposed biophysical damage model for predicting platelet activation and receptor shedding caused by circulatory assist devices. Methods Four rotary blood pumps have been chosen for this study: One axial pump (HeartMate II) and three centrifugal pumps (HeartMate 3, BrioVAD, and CentriMag). CFD simulations were performed under three clinically relevant circulatory support conditions: HeartMate II, HeartMate 3, BrioVAD at a pressure head of 75 mmHg, along with CentriMag at pressure heads of 75, 150, and 350 mmHg. The resulting platelet damage indices were compared with experimentally measured platelet activation (PAC‐1 expression) and receptor shedding (GPIbα and GPVI) data. Results HeartMate 3, BrioVAD, and CentriMag operating at 75 mmHg caused the lowest levels of platelet activation and receptor shedding, while CentriMag, operating at 350 mmHg, produced the highest, 10 times more activation, and six times more receptor shedding compared to at 75 mmHg. Strong correlations were observed between CFD predicted and in vitro data for all biomarkers (), with the highest agreement observed for GPVI shedding (). Conclusion The biophysical model preserved the relative trends observed previously with the power‐law formulation, while demonstrating improved agreement with experimental data.

Artificial Organs
University of Maryland, Baltimore (US), University of Maryland, College Park (US)
Openalex Percentile: Top 20%
Mechanical Circulatory Support Devices
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.