Mathematical Modeling of Blood Clotting in Pulmonary Circulation During COVID-19

A recent study “Blood Clotting Decreases Pulmonary Circulation during the Coronavirus Disease” published in the journal ‘Mathematics’ presents a novel mathematical model to understand the interaction between blood clotting and pulmonary circulation in COVID-19.

Here are the key findings and implications:

  1. Context and Challenges: COVID-19 is known to increase the risk of spontaneous blood clotting, leading to complications like deep vein thrombosis and pulmonary thrombosis. These blood clots reduce pulmonary circulation and blood oxygenation. The study emphasizes the need for methods to evaluate the extent of thrombo-inflammation and obstruction in pulmonary circulation during COVID-19​​​​.
  2. Mathematical Modeling Approach: Due to computational limitations of 2D and 3D modeling in complex vessel networks, the study adopts a quasi-one-dimensional approach. This novel model describes the interaction of blood clotting in small lung blood vessels with pulmonary circulation, combining the thrombus growth model, the blood flow model, and the model of the vessel network​​.
  3. Findings: The model reveals that even a small level of lung obstruction (5%) can lead to a significant reduction (12%) in blood flux. This finding highlights the critical impact of minor clotting events on overall lung function and blood circulation during COVID-19.
  4. Implications for COVID-19 Management: The study’s approach can be instrumental in investigating the interaction of blood clotting and flow in complex vessel networks, not just in the lungs but in other parts of the body as well. The results provide insights that could help in better managing and treating COVID-19 patients, particularly those with severe lung involvement and clotting disorders.

In summary, this mathematical model offers a new perspective in understanding the dynamics of blood clotting in pulmonary circulation during COVID-19, potentially aiding in the development of more effective diagnostic and therapeutic strategies.

Read More: https://www.mdpi.com/2227-7390/9/19/2401

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