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Blood Clotting Decreases Pulmonary Circulation during the Coronavirus Disease

Author

Listed:
  • Anastasia Mozokhina

    (SM Nikolsky Mathematical Institute, People’s Friendship University of Russia (RUDN University), 6 Miklukho-Maklaya Street, 117198 Moscow, Russia)

  • Anass Bouchnita

    (Department of Integrative Biology, University of Texas at Austin, Austin, TX 78712, USA)

  • Vitaly Volpert

    (SM Nikolsky Mathematical Institute, People’s Friendship University of Russia (RUDN University), 6 Miklukho-Maklaya Street, 117198 Moscow, Russia
    Institut Camille Jordan, UMR 5208 CNRS, University Claude Bernard Lyon 1, 69622 Villeurbanne, France
    INRIA Team Dracula, INRIA Lyon La Doua, 69603 Villeurbanne, France)

Abstract

Spontaneous blood clotting in pulmonary circulation caused by thrombo-inflammation is one of the main mortality causes during the COVID-19 disease. Blood clotting leads to reduced pulmonary circulation and blood oxygenation. Lung inflammation can be evaluated with noninvasive diagnostic techniques. However, the correlation of the severity of the inflammation with the pulmonary blood flow has not been established. To address this question, in this work, we develop a multiscale model taking into account the interaction of a local model of thrombus growth with 1D hemodynamics in a vessel network. Flux reduction depending on the level of lung obstruction is evaluated. In particular, the model obtains that an obstruction level of 5% leads to a 12% reduction of blood flux. The suggested approach can be used to investigate the interaction of blood clotting and flow not only in the pulmonary network but also in other complex vessel networks.

Suggested Citation

  • Anastasia Mozokhina & Anass Bouchnita & Vitaly Volpert, 2021. "Blood Clotting Decreases Pulmonary Circulation during the Coronavirus Disease," Mathematics, MDPI, vol. 9(19), pages 1-19, September.
    • Handle: RePEc:gam:jmathe:v:9:y:2021:i:19:p:2401-:d:644094
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    References listed on IDEAS

    as
    1. Hari Hara Sudhan Lakshmanan & Joseph J. Shatzel & Sven R. Olson & Owen J.T. McCarty & Jeevan Maddala, 2019. "Modeling the effect of blood vessel bifurcation ratio on occlusive thrombus formation," Computer Methods in Biomechanics and Biomedical Engineering, Taylor & Francis Journals, vol. 22(11), pages 972-980, August.
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    Cited by:

    1. Anass Bouchnita & Anastasia Mozokhina & Patrice Nony & Jean-Pierre Llored & Vitaly Volpert, 2023. "Combining Computational Modelling and Machine Learning to Identify COVID-19 Patients with a High Thromboembolism Risk," Mathematics, MDPI, vol. 11(2), pages 1-13, January.

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