A CFD-based Kriging surrogate modeling approach for predicting device-specific hemolysis power law coefficients in blood-contacting medical devices

Craven, Brent A.; Aycock, Kenneth I.; Herbertson, Luke H.; Malinauskas, Richard A.

doi:10.1007/s10237-019-01126-4

Cited by 27 publications

(17 citation statements)

References 41 publications

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“…Here, ∆ℎ𝑏 is the released hemoglobin due to the rupture of blood cells, while 𝐻𝐵 refers to the total hemoglobin concentration, which normally The resolution of a scalar transport equation allows for the Eulerian evaluation of 𝐻𝐼 in the whole domain. This transport equation is solved imposing 𝐻𝐼 = 0 at the inlet, and the device 𝐻𝐼 is evaluated as the mass-flow average of this parameter at the outlet, as defined in Equation 5 (Craven et al 2019).…”

Section: Blood Damage: Hemolysis Index Modelmentioning

confidence: 99%

Hemocompatibility and hemodynamic comparison of two centrifugal LVADs: HVAD and HeartMate3

Megías

Garcia

Igeño

et al. 2022

Preprint

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Mechanical Circulatory Support using Ventricular Assist Devices is a common technique for treating patients suffering from advanced heart failure. The latest generation of devices is characterized by centrifugal turbopumps which employ magnetic levitation bearings to ensure a gap clearance between moving and static parts. Despite the increasing use of these devices as a destination therapy, several long-term complications still exist regarding their hemocompatibility. The blood damage associated with different pump designs has been investigated profoundly in the literature, while the hemodynamic performance has been hardly considered. This work presents a novel comparison between the two main devices of the latest generation – HVAD and HM3 – from both perspectives, hemodynamic performance and blood damage. Computational Fluid Dynamics simulations are performed to model the considered LVADs, and computational results are compared to experimental measurements of pressure head to validate the model. Enhanced performance and hemocompatibility is detected for HM3 owing to its design incorporating more conventional blades and larger gap clearances.

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Section: Blood Damage: Hemolysis Index Modelmentioning

confidence: 99%

Hemocompatibility and hemodynamic comparison of two centrifugal LVADs: HVAD and HeartMate3

Megías

Garcia

Igeño

et al. 2022

Preprint

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“…This -value was also used in the present study as validation. The total blood hemoglobin concentration Hb was not provided for this test case, but is needed for MIH exp , and can be be estimated by the measured hematocrit as it was also done in Wu et al (2019) and Craven et al (2019). Hence, we determined Hb = 8000 mg∕dl.…”

Section: Test Case 3: Capillary Tubementioning

confidence: 99%

Flow simulation-based particle swarm optimization for developing improved hemolysis models

Torner

Frank

Grundmann

et al. 2022

Biomech Model Mechanobiol

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The improvement and development of blood-contacting devices, such as mechanical circulatory support systems, is a life saving endeavor. These devices must be designed in such a way that they ensure the highest hemocompatibility. Therefore, in-silico trials (flow simulations) offer a quick and cost-effective way to analyze and optimize the hemocompatibility and performance of medical devices. In that regard, the prediction of blood trauma, such as hemolysis, is the key element to ensure the hemocompatibility of a device. But, despite decades of research related to numerical hemolysis models, their accuracy and reliability leaves much to be desired. This study proposes a novel optimization path, which is capable of improving existing models and aid in the development of future hemolysis models. First, flow simulations of three, turbulent blood flow test cases (capillary tube, FDA nozzle, FDA pump) were performed and hemolysis was numerically predicted by the widely-applied stress-based hemolysis models. Afterward, a multiple-objective particles swarm optimization (MOPSO) was performed to tie the physiological stresses of the simulated flow field to the measured hemolysis using an equivalent of over one million numerically determined hemolysis predictions. The results show that our optimization is capable of improving upon existing hemolysis models. However, it also unveils some deficiencies and limits of hemolysis prediction with stress-based models, which will need to be addressed in order to improve its reliability.

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“…Además, la hemodinámica está determinada en parte por la tensión parietal y el estrés de cizallamiento, propiedades que tienen un comportamiento no lineal (ecuación de Casson) que puede afectar la integridad de las células hemáticas. Existen ya modelos no lineales para evaluar el grado de hemólisis asociado al contacto con la sangre de los dispositivos médicos 37 .…”

Section: Contracción Muscular Y Hemodinámicaunclassified

Complexus cordis

larraza-Lomelí¹,

Rius-Suárez²

2021

ACM

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El estudio científico del corazón nos ha permitido conocer su estructura y función profundamente, mediante la fragmentación y el análisis de sus partes, atendiendo a las pautas del método que tantos logros nos ha dado. Sin embargo, al momento de volver a ensamblar esos fragmentos analizados nos percatamos de que algo falta; simplemente la suma de las partes no hace al todo. Es así que, desde hace décadas, numerosos científicos han estudiado estrategias novedosas que permitan entender los fenómenos naturales desde modelos más incluyentes, abiertos e integradores, que atiendan con cercanía a las interacciones más que a los componentes. De esta manera, observamos que muchas variables suelen transgredir el plano convencional y parten hacia la no linealidad y la fractalidad, formando un tejido complejo que mantendrá su estructura mientras termodinámicamente sea viable. Así, en este documento se muestra la manera en que el estudio no lineal de la dinámica compleja cardiovascular comienza a darnos luz en muchas de las preguntas que a diario se plantea el cardiólogo clínico.

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A CFD-based Kriging surrogate modeling approach for predicting device-specific hemolysis power law coefficients in blood-contacting medical devices

Cited by 27 publications

References 41 publications

Hemocompatibility and hemodynamic comparison of two centrifugal LVADs: HVAD and HeartMate3

Hemocompatibility and hemodynamic comparison of two centrifugal LVADs: HVAD and HeartMate3

Flow simulation-based particle swarm optimization for developing improved hemolysis models

Complexus cordis

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