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A Poroelastic Approach for Modelling Myocardial Oedema in Acute Myocarditis
Wesley de Jesus Lourenço1, Ruy Freitas Reis2, Ricardo Ruiz-Baier3,4,5
1Graduate Program on Computational Modelling, Federal University of Juiz de Fora, Juiz de Fora, Brazil.
Insights
Computational models can now differentiate between localized and diffuse myocarditis (heart muscle inflammation). This research advances understanding of how pathogens and immune responses influence disease patterns, aiding patient treatment strategies.
Area of Science:
- Computational Biology
- Cardiovascular Research
- Immunology
Background:
- Myocarditis, inflammation of the heart muscle, affects millions globally, causing significant mortality.
- Key questions remain regarding the localized versus diffuse nature of inflammation and the interplay between pathogens and the immune system.
Purpose of the Study:
- To adapt a computational model for studying myocardial edema in acute infectious myocarditis.
- To investigate the factors influencing localized and diffuse myocarditis patterns.
Main Methods:
- Utilized a poroelastic model based on partial differential equations.
- Modeled tissue displacement, fluid pressure, fluid phase, and concentrations of pathogens and leukocytes.
- Performed sensitivity analysis on key model parameters.
Main Results:
- The poroelastic model successfully simulated both localized and diffuse myocarditis dynamics.
- Sensitivity analysis identified critical parameters influencing disease progression.
- The model demonstrated capability in both simplified and complex geometrical domains.
Conclusions:
- Computational methods offer valuable insights into the mechanisms underlying myocarditis.
- The adapted model can help elucidate the causes of varied inflammatory patterns in patients.
- Findings may contribute to improved diagnostic and therapeutic approaches for myocarditis.
Abstract:
Myocarditis is a general set of mechanisms that manifest themselves into the inflammation of the heart muscle. In 2017, more than 3 million people were affected by this disease worldwide, causing about 47,000 deaths. Many aspects of the origin of this disease are well known, but several important questions regarding the disease remain open. One of them is why some patients develop a significantly localised inflammation while others develop a much more diffuse inflammation, reaching across large portions of the heart. Furthermore, the specific role of the pathogenic agent that causes inflammation as well as the interaction with the immune system in the progression of the disease are still under discussion. Providing answers to these crucial questions can have an important impact on patient treatment. In this scenario, computational methods can aid specialists to understand better the relationships between pathogens and the immune system and elucidate why some patients develop diffuse myocarditis. This paper alters a recently developed model to study the myocardial oedema formation in acute infectious myocarditis. The model describes the finite deformation regime using partial differential equations to represent tissue displacement, fluid pressure, fluid phase, and the concentrations of pathogens and leukocytes. A sensitivity analysis was performed to understand better the influence of the most relevant model parameters on the disease dynamics. The results showed that the poroelastic model could reproduce local and diffuse myocarditis dynamics in simplified and complex geometrical domains.
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