Skip to main content
Have a personal or library account? Click to login
Influence of hematocrit-dependent blood viscosity on hemodynamics of mitral paravalvular leak Cover

Influence of hematocrit-dependent blood viscosity on hemodynamics of mitral paravalvular leak

Open Access
|Oct 2026

References

  1. Gbadago, B. K., Antiaye, J., Boachie, J., Adu, P., Drinking recommended daily water significantly alters haemato-biochemical parameters in prospective blood donors; a one-center quasi-experimental study in a tropical setting, Blood Cell Mol. Dis., 2023, 102: 102757, 10.1016/j.bcmd.2023.102757.
  2. Starodumov, I., Makhaeva, K., Zubarev, A., Bessonov, I., Sokolov, S., Mikushin, P., Alexandrov, D., Chestukhin, V., Blyakhman, F., Modeling of local hematocrit for blood flow in stenotic coronary vessels, Fluids, 2023, 8: 230, 10.3390/fluids8080230.
  3. Kozłowski, M., Wojtas, K., Orciuch, W., Smolka ,G., Wojakowski, W., Makowski, Ł., Computational fluid dynamics simulations of mitral paravalvular leaks in the human heart, Eur. Heart J. Cardiovasc. Imaging, 2023, 24(1): jead119.349, 10.1093/ehjci/jead119.349.
  4. Lytra, T., Kalogeras, K., Ninios, V., Spargias, K., Dardas, P., Vavuranakis, M., Long-term study of patients undergoing transcatheter paravalvular leak closure for hemolysis, J. Invasive Cardiol., 2025, 37(11): 123, 10.25270/jic/25.00123.
  5. Kozłowski, M., Wojtas, K., Orciuch, W., Jędrzejek, M., Smolka, G., Wojakowski, W., Makowski, Ł, Potential applications of computational fluid dynamics for predicting hemolysis in mitral paravalvular leaks, J. Clin. Med., 2021, 10(24): 5752, 10.3390/jcm10245752.
  6. Kozłowski, M., Wojtas, K., Orciuch, W., Smolka, G., Wojakowski, W., Makowski, Ł, Parameters of flow through paravalvular leak channels from computational fluid dynamics simulations-data from real-life cases and comparison with a simplified model, J. Clin. Med., 2022, 11(18): 5355, 10.3390/jcm11185355.
  7. Su, C., Jin, D., Liu, G., Li, S., Gui, X., Characteristics and hemolysis analysis of centrifugal blood pumps under different speed modulations, Front. Physiol., 2025, 16: 1575971, 10.3389/fphys.2025.1575971.
  8. Boyd, J., Buick, J. M., Green, S., Analysis of the casson and Carreau-Yasuda non-Newtonian blood models in steady and oscillatory flow using the lattice Boltzmann method, Phys. Fluids, 2007, 19(9): 093103. 10.1063/1.2772250.
  9. Liu, H., Lan, L., Abrigo, J., Ip, H. L., Soo, Y., Zheng, D., Wong, K. S., Wang, D., Shi, L., Leung, T. W., Leng, X., Comparison of Newtonian and non-Newtonian fluid models in blood flow simulation in patients with intracranial arterial stenosis, Front. Physiol., 2021, 12: 718540, 10.3389/fphys.2021.718540.
  10. Wajihah, S. A., Sankar, D. S., A review on non-Newtonian fluid models for multi-layered blood rheology in constricted arteries, Arch. Appl. Mech., 2023, 93: 1771–1796, 10.1007/s00419-023-02368-6.
  11. Tyfa, Z., Reorowicz, P., Obidowski, D., Jóźwik, K., Influence of fluid rheology on blood flow haemodynamics in patient-specific arterial networks of varied complexity – in-silico studies, Acta Mech. Autom., 2023, 18(1): 8–21. 10.2478/ama-2024-0002.
  12. Trejo-Soto, C., Hernández-Machado, A., Normalization of blood viscosity according to the hematocrit and the shear rate, Micromachines, 2022, 13(3): 357, 10.3390/mi13030357.
  13. Moreno, N., Korneev, K., Semenov, A., Topuz, A., John, T., Lettinga, M. P., Ellero, M., Wagner, C., Fedosov, D. A., Aggregation and disaggregation of red blood cells: Depletion versus bridging, Biophys. J., 2025, 124(8): 1285–1297, 10.1016/j.bpj.2025.03.007.
  14. Hoque, S. Z., Anand, D. V., Patnaik, B. S. V., A dissipative particle dynamics simulation of a pair of red blood cells in flow through a symmetric and an asymmetric bifurcated microchannel, Comput. Part. Mech., 2022, 9(6): 1219–1231. 10.1007/s40571-021-00453-7.
  15. Truchel, K., Wojtas, K., Marchel, M., Orciuch, W., Makowski, Ł, Numerical validation of the applicability of the simplified ventricular model in the analysis of hemolysis in the mitral paravalvular leak, Front. Bioeng. Biotechnol., 2025, 13: 1714076, 10.3389/fbioe.2025.1714076.
  16. Faghih, M. M., Craven, B. A., Sharp, M. K., Practical implications of the erroneous treatment of exposure time in the Eulerian hemolysis power law model, Artif. Organs., 2023,47: 1531–1538, 10.1111/aor.14543.
  17. Giannokostas, K., Moschopoulos, P., Varchanis, S., Dimakopoulos, Y., Tsamopoulos, J., Advanced constitutive modeling of the thixotropic elasto-visco-plastic behavior of blood: description of the model and rheological predictions, Materials, 2020, 13: 4184, 10.3390/ma13184184.
  18. Harikrishnan, G., Akhil, V. M., Rajan, R., Charbel, T., Effects of blood hematocrit on cerebral aneurysm flow dynamics and rupture risk assessment: a computational study based on modified Carreau-Yasuda model, Results Eng., 2025, 27: 106026. 10.1016/j.rineng.2025.106026.
  19. Lee, C. A., Paeng, D. G., Spatiotemporal blood viscosity by local hematocrit under pulsatile flow: Whole blood experiments and computational analysis, Comput. Biol. Med., 2025, 198: 111253, 10.1016/j.compbiomed.2025.111253.
  20. National Health and Nutrition Examination Survey (NHANES), CBC Analysis Dataset, Available: https://www.kaggle.com/datasets/muhammedsamir/cbcanalysis-dataset/data
  21. Sriram, K., Intaglietta, M., Tartakovsky, D. M., Non-Newtonian flow of blood in arterioles: consequences for wall shear stress measurements, Microcirculation, 2014, 21(7): 628–639, 10.1111/micc.12141.
  22. Chastain, M. A., Russo, G. G., Boh, E. E., Chastain, J. B., Falabella, A., Millikan, L. E., Propylthiouracil hypersensitivity: Report of two patients with vasculitis and review of the literature, J. Am. Acad. Dermatol., 1999, 41: 757–764, 10.1016/s0190-9622(99)70013-7
  23. Lam, B. K., Cosgrove, D. M., Bhudia, S. K., Gillinov, A. M., Hemolysis after mitral valve repair: Mechanisms and treatment, Ann. Thorac. Surg., 2004, 77: 191–195, 10.1016/s0003-4975(03)01455-3
  24. Lara, J. P., Santana, Y., Gaddam, M., Ali, A., Malik, S., Khaja, M., Diclofenac-induced thrombotic thrombocytopenic purpura with concomitant complement dysregulation: a case report and review of the literature, J. Med. Case Rep., 2019, 13: 190, 10.1186/s13256-019-2097-5.
  25. Piek, C. J., Canine idiopathic immune-mediated haemolytic anaemia: A review with recommendations for future research, Vet. Quart., 2011, 31: 129–141, 10.1080/01652176.2011.604979.
  26. Ansys Inc., Ansys Fluent User’s Guide Release 2024 R1, Canonsburg: Ansys Inc., 2024.
  27. Tait, P. G., Report of some of the physical properties of fresh water and sea-water, The Voyage of H.M.S. Challenger. Physics and chemistry, 1888, 2.
  28. Varghese, S. S., Frankel, S. H., Numerical modeling of pulsatile turbulent flow in stenotic vessels, J. Biomech. Eng., 2003, 125(4): 445–460, 10.1115/1.1589774.
  29. Seo, J. H., Vedula, V., Abraham ,T., Mittal, R., Multiphysics computational models for cardiac flow and virtual cardiography, Int. J. Numer. Method. Biomed. Eng., 2013, 29(8): 850–869, 10.1002/cnm.2556.
  30. Wojtas, K., Kozłowski, M., Orciuch, W., Makowski, Ł Computational fluid dynamics simulations of mitral paravalvular leaks in human heart, Materials, 2021, 14(23): 7354, 10.3390/ma14237354.
DOI: https://doi.org/10.37190/abb/231653 | Journal eISSN: 2450-6303 | Journal ISSN: 1509-409X
Language: English
Page range: 70 - 80
Submitted on: May 27, 2026
Accepted on: Aug 24, 2026
Published on: Oct 16, 2026
Published by: Wroclaw University of Science and Technology
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2026 Igor Szumny, Magdalena Kopernik, published by Wroclaw University of Science and Technology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.