Human-beta-defensin-1, ferritin, and interleukin-6 in a mathematical model for predicting the effectiveness of anti-tuberculosis treatment

Olga Shevchenko; Liliia Todoriko; Rostislav Shevchenko; Svitlana Matvyeyeva; Iryna Ovcharenko; Olha Pohorielova; Oleg Avrunin; Yana Nosova; Mykola Tomchuk; Oleksii Stakhov; Baktykul Djakhanova; Saule Kumargazhanova; Konrad Gromaszek

doi:10.1117/12.3058547

16 December 2024 Human-beta-defensin-1, ferritin, and interleukin-6 in a mathematical model for predicting the effectiveness of anti-tuberculosis treatment

Olga Shevchenko, Liliia Todoriko, Rostislav Shevchenko, Svitlana Matvyeyeva, Iryna Ovcharenko, Olha Pohorielova, Oleg Avrunin, Yana Nosova, Mykola Tomchuk, Oleksii Stakhov, Baktykul Djakhanova, Saule Kumargazhanova, Konrad Gromaszek

Author Affiliations +

Proceedings Volume 13400, Photonics Applications in Astronomy, Communications, Industry, and High Energy Physics Experiments 2024; 134000G (2024) https://doi.org/10.1117/12.3058547
Event: Photonics Applications in Astronomy, Communications, Industry, and High Energy Physics Experiments 2024, 2024, Lublin, Poland

Abstract

For many years, the medical community has used experimental and clinical observation methods to study the course of various diseases. This approach has a high degree of validity, but it also has some limitations, such as high costs and difficulty in controlling all influencing factors and individual variability. In this regard, there is a need to create new methods for studying and predicting the course of diseases. One of these tools is a mathematical model. This study considers the possibility of mathematical modeling of the effectiveness of anti-tuberculosis treatment, based on the levels of biochemical markers of tuberculosis, namely Human-beta-defensin-1 (HBD-1), ferritin and interleukin-6 (IL-6). Based on a study of the relationships between the effectiveness of anti-tuberculosis treatment and the levels of Humanbeta-defensin-1, ferritin and interleukin-6, a mathematical model was created that allows predicting the effectiveness of anti-tuberculosis treatment based on determining biochemical markers at the beginning of treatment and after 60 days of anti-tuberculosis therapy with sensitivity and specificity of at least 88%.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

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Olga Shevchenko, Liliia Todoriko, Rostislav Shevchenko, Svitlana Matvyeyeva, Iryna Ovcharenko, Olha Pohorielova, Oleg Avrunin, Yana Nosova, Mykola Tomchuk, Oleksii Stakhov, Baktykul Djakhanova, Saule Kumargazhanova, and Konrad Gromaszek "Human-beta-defensin-1, ferritin, and interleukin-6 in a mathematical model for predicting the effectiveness of anti-tuberculosis treatment", Proc. SPIE 13400, Photonics Applications in Astronomy, Communications, Industry, and High Energy Physics Experiments 2024, 134000G (16 December 2024); https://doi.org/10.1117/12.3058547

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