Exploratory Simulation of Thrombosis in A Temporary LVAD Catheter Pump Within a Virtual In-Vivo Left Heart Environment
Greg W Burgreen1*, Mansur Zhussupbekov2, Rodrigo Méndez Rojano2 and James F Antaki2
1Center for Advanced Vehicular Systems, Mississippi State University, USA
2Meinig School of Biomedical Engineering, Cornell University, USA
Submission: November 20, 2023;Published: November 24, 2023
*Corresponding author: Greg W Burgreen, Center for Advanced Vehicular Systems, Mississippi State University, USA Trends Tech
How to cite this article: Greg W Burgreen*, Mansur Zhussupbekov, Rodrigo Méndez Rojano and James F Antaki. Exploratory Simulation of Thrombosis in A Temporary LVAD Catheter Pump Within a Virtual In-Vivo Left Heart Environment. Trends Tech Sci Res. 2023; 6(5): 555699. DOI: 10.19080/TTSR.2023.06.555699
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 communication short 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.
Keywords: Computational fluid dynamics; Thrombosis modeling; Blood damage modeling; Temporary mechanical circulatory support; Temporary LVAD; Catheter pump
Abbreviations: AA: Ascending Aorta; KRPM: One Thousand Revolutions Per Minute; LPM: Liters Per Minute; LV: Left Ventricle; LVAD: Left Ventricular Assist Device; MCS: Mechanical Circulatory Support; MV: Mitral Valve; VWF: Von Willebrand Factor
Introduction
Innovative modeling and imaging techniques are rapidly converging to improve outcomes in patients with MCS devices [1]. For example, high variability in heart shapes and contractility can be characterized using cardiac computed tomography and statistical shape modeling, and when combined with CFD can assess intracardiac flow features [2]. The literature reveals a few early CFD studies involving MCS catheter pumps [3,4], one CFD study that considered an isolated catheter pump connected to the inflow of an ascending aorta [5], and only a few studies reporting any form of CFD-based blood damage modeling for a catheter pump [6,7]. Blood damage in terms of hemolysis [8] and thrombosis [9,10] are not uncommon in catheter pumps. We have discovered no CFD publications on catheter pump performance in a clinically relevant in-vivo setting, specifically, situated within a pulsatile LV and transporting blood into the AA. Our current efforts seek to explore and address the challenges of performing clinically relevant MCS simulations including predicting hemocompatibility related adverse events.
To this end, a generic temporary MCS catheter pump with a blood flow path inspired by the Impella 5.0 [11] was situated within a static geometry consisting of an idealized LV and AA (Figure 1). We applied blood DamageFoam, an Open FOAM-based CFD code with multifactorial and synergistic models of blood damage [12], to the catheter pump within this virtual in-vivo environment to analyze its hemodynamic performance at a fixed rotor speed of 20KRPM. The rotor had a 6.64mm outer diameter and a 0.3mm blade tip gap. Blood was modeled as laminar with density of 1050 kg/m3 and asymptotic viscosity of 3.6cP. The LV and AA regions were modeled as two independent fluid domains, each with independent inflow and outlet boundary conditions. The catheter pump was modeled as a third flow domain embedded inside the LV and AA domains and connected to both domains via arbitrary mesh interfaces. The inlet cannula crossed the aortic valve boundaries and permitted blood to be pumped from the LV domain and transported into the AA domain. Boundary conditions of the LV domain consisted of steady, uniform inlet (pseudo-mitral valve) flowrate of 5.0LPM and a constant pressure of 90 mmHg imposed at the aortic valve outlet. The AA domain had a steady inlet flowrate of 0.5LPM at the aortic valve and constant 90 mmHg pressure at the aortic geometry outlet. The non-physiological imposition of steady flow as inlet boundary condition for the non-deforming LV domain was chosen for numerical stability reasons. An unsteady pulsatile inlet flow condition for a static LV geometry would lead to strong LV suction and highly unrealistic intraventricular flows. The three branches of the aortic arch were modeled as capped conduits with zero flow. All blood-contacting surfaces were treated as non-moving walls.

Blood damage models applied included a hemolysis model [13] and a state-of-the-art thrombosis model consisting of seven biochemical and biophysical agonists that account for the effects of high shear stress-induced activation of von Willebrand Factor (vWF) [14]. All anatomical surfaces were treated as non-reactive to thrombosis, and all biomaterial surfaces of the pump system were treated as reactive to platelet deposition. The critical concentration of stretched vWF was set to 200nmol/m3 to approximate a typical biomaterial response.
Conclusion
Regarding hemodynamic performance, CFD predicted a blood flow of 4.43 LPM through the catheter pump. Thus, almost the entire steady 5.0LPM flow into the LV was delivered into the AA by the pump, and the remaining 0.57LPM exited the LV fluid domain via its aortic valve outlet. Low pressure (40 to 60mmHg) was observed in the inlet cannula, and pressure was essentially equalized by the pump to 90 mmHg throughout the entirety of the AA domain. The blood velocity field is illustrated in Figure 2a-b. The pump generated strong jets of exiting blood flow that induce multiple vortices in the ascending aorta. Blood flow relaminarized as it flowed down the descending aorta. Shear stresses were greatest in the pump rotor region, but less than 700 Pa. Blood flow within the pump cannula had high velocity and was primarily spatially uniform.
Regarding hemocompatibility related aspects of the pump, moderate hemolysis was predicted. Due to the absence of LV contraction in this exploratory simulation, large regions of flow stasis and concomitant elevated concentrations of platelet agonists and activated platelets were observed in the lower half of the LV (Figure 2c). A mixture of resting and activated platelets was transported into the AA via the cannula. The simulation predicted 40%-50% of platelets in the aortic arch to be activated. The thrombosis model predicted moderate degrees of platelet deposition on the cage of the inlet cannula and within the catheter pump chamber (Figure 2d-f).

Our exploratory study had many simplifying non-physiological assumptions and yielded many lessons learned. Ongoing work is addressing several deficiencies in the present model. The first lesson learned is that the fluid domains should not be decoupled. Rather, the LV and AA should be coupled via a suitable aortic valve model that includes variable physiological patency [15,16] and supports the crossing of the pump cannula. The addition of a mitral valve (MV) is needed to allow for potential pump suctioninduced MV regurgitation during the isovolumetric phases of the cardiac cycle. Anatomically realistic models of LV and AA need to be considered [17] including dilated LVs of diseased hearts [18]. Based on our exploratory study, the neglect of pulsatility and LV dynamics negatively impacts predictions of catheter pump hemocompatibility, thus realistic LV wall motion should be modeled to produce pulsatile flow including valve dynamics [19]. Options to incorporate LV pulsatility can include combinations of patient data, animal data, and simulated lumped parameter model data [20]. For clinical relevance, pathological conditions such as various models of heart failure, cardiogenic shock, and valvular dysfunction should be included in advanced simulations. Such pathophysiological effects could be incorporated by coupling CFD to a model of integrative human physiology [21,22]. Due to the strong fluid jet-induced mixing in the AA, fully turbulent flow simulations should be performed. Windkessel boundary conditions or lumped parameter model pressure values should be applied to all outlets of the AA to account for downstream arterial resistance. Lastly, we will improve deficiencies of our blood damage modeling. Platelet deposition dynamics in rotating turbomachinery domains will be better handled to eliminate the generation of artifactual high shear stresses within wall attached thrombus. We will also include the effects of fibrin-mediated platelet deposition at biomaterial surfaces in regions of low shear stress. This exploratory study indicated that predicted hemolysis of small high-speed catheter pumps may be minimal and that inclusion of pulsatile LV dynamics is needed to better evaluate thrombotic behaviors. This work represents our first step towards simulating hemodynamics and clinically relevant models of hemocompatibility of MCS devices within diseased pulsatile native left heart environments.
Acknowledgement
This research was supported by NIH R01 HL089456 and NIH R01 HL086918.
References
- Wilson SI, Ingram KE, Oh A, Moreno MR, Kassi M, et al. (2023) The role of innovative modeling and imaging techniques in improving outcomes in patients with LVAD. Front Cardiovasc Med 10: 1248300.
- Goubergrits L, Vellguth K, Obermeier L, Schlief A, Tautz L, et al. (2022) CT-Based Analysis of Left Ventricular Hemodynamics Using Statistical Shape Modeling and Computational Fluid Dynamics. Front Cardiovasc Med 9: 901902.
- Apel J, Neudel F, Reul H (2001) Computational Fluid Dynamics and Experimental Validation of a Microaxial Blood Pump. ASAIO J 47(5): 552–558.
- Triep M, Brücker C, Schröder W, Siess T (2006) Computational Fluid Dynamics and Digital Particle Image Velocimetry Study of the Flow Through an Optimized Micro-axial Blood Pump. Artif Organs 30(5): 384-391.
- Wang Y, Wang J, Peng J, Huo M, Yang Z, et al. (2021) Effects of a Short-Term Left Ventricular Assist Device on Hemodynamics in a Heart Failure Patient-Specific Aorta Model: A CFD Study. Front Physiol 12: 733464.
- Roberts N, Chandrasekaran U, Das S, Qi Z, Corbett S, et al. (2020) Hemolysis associated with Impella heart pump positioning: In vitro hemolysis testing and computational fluid dynamics modeling. Int J Artif Organs 43:710-718.
- Tian W, Xiong Y (2020) Study on Mechanism for Preventing Thrombus Formation by Nano-Biological Catheter Pump. Nanoscience and Nanotechnology Letters 12(1): 48-53.
- Zein R, Patel C, Mercado-Alamo A, Schreiber T, Kaki A, et al. (2022) A Review of the Impella Devices. Interv Cardiol 17: e05.
- Saito T, Yamamoto H, Oishi S, Uchino G, Murakami H, et al. (2021) Left Main Trunk Occlusion Due to Impella-Related Thrombus in a Patient with Extracorporeal Cardiopulmonary Resuscitation. JACC Cardiovasc Interv 14(22): e313-e316.
- Ammann KR, Ding J, Gilman V, Corbett S, Slepian MJ, et al. (2023) Sodium bicarbonate alters protein stability and blood coagulability in a simulated Impella purge gap model. Artif Organs 47(6): 971-981.
- Burgreen GW, Méndez Rojano R, Zhussupbekov M, Antaki JF (2022) Towards A Comprehensive CFD-based Model of Blood Damage. ASAIO J 68(Supplement 2): 104.
- Kameneva MV, Burgreen GW, Kono K, Repko B, Antaki JF, et al. (2004) Effects of turbulent stresses upon mechanical hemolysis: experimental and computational analysis. ASAIO J 50(5): 418-423.
- Zhussupbekov M, Méndez Rojano R, Wu WT, Antaki JF (2022) von Willebrand factor unfolding mediates platelet deposition in a model of high-shear thrombosis. Biophys J 121(21): 4033-4047.
- Schenkel T, Malve M, Reik M, Markl M, Jung B, et al. (2009) MRI-based CFD analysis of flow in a human left ventricle: methodology and application to a healthy heart. Ann Biomed Eng 37(3): 503-515.
- Zingaro A, Bucelli M, Fumagalli I, Dede L, Quarteroni A, et al. (2023) Modeling isovolumetric phases in cardiac flows by an Augmented Resistive Immersed Implicit Surface method. Int J Numer Method Biomed Eng Aug 24: e3767.
- Strocchi M, Augustin CM, Gsell MAF, Karabelas E, Neic A, et al. (2020) A publicly available virtual cohort of four-chamber heart meshes for cardiac electro-mechanics simulations. PLoS One 15(6): e0235145.
- Bachman TN, Bhama JK, Verkaik J, Vandenberghe S, Kormos RL, et al. (2011) In-vitro Evaluation of Ventricular Cannulation for Rotodynamic Cardiac Assist Devices. Cardiovasc Eng Technol 2(3): 203-211.
- Karabelas E, Longobardi S, Fuchsberger J, Razeghi O, Rodero C, et al. (2022) Global Sensitivity Analysis of Four Chamber Heart Hemodynamics Using Surrogate Models. IEEE Trans Biomed Eng 69(10): 3216-3223.
- Vasudevan VS, Rajagopal K, Antaki JF (2022) Application of mathematical modeling to quantify ventricular contribution following durable left ventricular assist device support. Appl in Eng Sci 11: 100107.
- Hester RL, Brown AJ, Husband L, Iliescu R, Pruett D, et al. (2011) HumMod: A Modeling Environment for the Simulation of Integrative Human Physiology. Front Physiol 2: 12.
- Clemmer JS, Pruett WA (2022) Modeling the physiological roles of the heart and kidney in heart failure with preserved ejection fraction during baroreflex activation therapy. Am J Physiol Heart Circ Physiol 323(3): H597-H607.
- Méndez RR, Lai A, Zhussupbekov M, Burgreen GW, Cook K, et al. (2022) A fibrin enhanced thrombosis model for medical devices operating at low shear regimes or large surface areas. PLoS Comput Biol 18(10): e1010277.