MSU scientists have created an innovative mathematical model. It describes how substances spread through the cardiovascular system, taking into account the work of the liver. The development will help doctors more accurately predict the effect of medications on the body and the timing of their elimination in patients with liver diseases.
The model takes into account the detoxification function of the liver. The condition of this organ directly affects the metabolism of drugs and their elimination from the body. The study focuses on the dynamics of indocyanine green (ICG), a substance used to diagnose liver condition. The new software package allows calculating the concentration of ICG in the blood and determining its half-life periods.
The authors of the study tested the model on scenarios with three degrees of liver damage. The results may have a significant impact on predicting the response of patients with severe liver diseases to medications and optimizing surgical interventions, such as shunting.
Alexander Khrulenko, Associate Professor of the Department of Computational Methods of the Faculty of Computational Mathematics and Cybernetics of Moscow State University, noted that the model not only describes the movement of a substance in the blood, but also predicts changes in the pharmacokinetics of drugs in case of impaired liver function. This is especially important for doctors when planning treatment for patients with cirrhosis or portal hypertension.
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