INFLAMMATION SYNDROME WITH AUTOIMMUNE COMPONENT IN THE PATIENTS WITH ACUTE MYOCARDIAL INFARCTION: QUANTUM GENETIC ALGORITHM, NEURONET

Authors:

Abstract:

The purpose of the study was optimizing the diagnosis of the inflammatory syndrome with an autoimmune component in patients with acute myocardial infarction using a quantum genetic algorithm and graph neural networks. There were 47 patients observed with acute myocardial infarction, and among them, 35 experienced complications. The diagnostic criteria of the inflammatory syndrome with an autoimmune component include elevated level of ratio of chaperone 60 autoantibodies to interleukin-10 more than 4.99 conditional units, ratio of chaperone 60 autoantibodies to C-reactive protein more than 4.2 conventional units, ratio of C-reactive protein to interleukin-10 is less than 0.2 conventional units. This syndrome was present in 33 (70.2 %) out of 47 myocardial infarction patients (p=0.01 by the Chi-Square test). It was presented on visual programming language “Dragon”. Quantum genetic algorithm, graph neural networks using for making decisions for an inflammation syndrome with autoimmune component diagnosis presented in this investigation.

Keywords:

Graph neural networks inflammation syndrome with autoimmune component acute myocardial infarction diagnosis

References:

1. Ben-Gal I, Kagan E. Information Theory: Deep Ideas, Wide Perspectives, and Various Applications. Entropy (Basel). 2021;23(2):232. doi:10.3390/e23020232
2. Chen Y, Zeng L. Peripheral Inflammatory Factors and Acute Myocardial Infarction Risk: A Mendelian Randomization Study. Glob Heart. 2023. Vol. 18(1). P. 55. doi:10.5334/gh.1269
3. Cruces S, Martín-Clemente R, Samek W. Information Theory Applications in Signal Processing. Entropy (Basel). 2019;21(7):653. doi:10.3390/e21070653
4. Guo L, Yuan CM, Gao XS. A Generalization of the Concavity of Rényi Entropy Power. Entropy (Basel). 2021;23(12):1593. doi:10.3390/e23121593
5. Kozlowski L. Shannon entropy calculator. Available from: www.shannonentropy.netmark.pl
6. Krishnan-Sivadoss I, Mijares-Rojas IA, Villarreal-Leal RA, Torre-Amione G, Knowlton AA, Guerrero-Beltrán CE. Heat shock protein 60 and cardiovascular diseases: An intricate love-hate story. Med Res Rev. 2021;41(1):29–71. doi:10.1002/med.21723
7. Kulishov SK, Iakovenko OM, Shvedenko AG, Shaposhnyk OA, Kudria IP, Bublyk OO. By editing: Kulishov S.K. Aging as deriving of racemic oxymoron, fractal and anti-fractal processes, graph neural networks. Poltava: RG, 2023. 115 p.
8. Mitsis A, Kadoglou NPE, Lambadiari V, Alexiou S, Theodoropoulos KC, Avraamides P, et al. Prognostic role of inflammatory cytokines and novel adipokines in acute myocardial infarction: An updated and comprehensive review. Cytokine. 2022; 153:155848. doi: 10.1016/j.cyto.2022.155848
9. Potyazhenko M, Lyulka N, Ostapchuk Yu. Heart remodeling, treatment of myocardial infarction with diabetes mellitus 2nd type and heart failure. Wiadomości Lekarskie. 2020; LXXIII, 6:1284–1289.
10. Savchenko L, Mykytiuk M, Cinato M, Tronchere H, Kunduzova O, Kaidashev I. IL-26 in the induced sputum is associated with the level of systemic inflammation, lung functions and body weight in COPD patients. Int J Chron Obstruct Pulmon Dis. 2018; 13:2569–2575. doi: 10.2147/COPD.S164833
11. Stătescu C, Anghel L, Tudurachi BS, Leonte A, Benchea LC, Sascău RA. From Classic to Modern Prognostic Biomarkers in Patients with Acute Myocardial Infarction. Int J Mol Sci. 2022;23(16):9168. doi: 10.3390/ijms23169168
12. Tkachuk VM, Kozlenko MI, Kuz MV, Lazarovych IM, Dutchak MC. Function Optimization Based on Higher-Order Quantum Genetic Algorithm. Electronic Modeling. 2019;41(3):43–57.
13. Wu Y, Pan N, An Y, Xu M, Tan L, Zhang L. Diagnostic and Prognostic Biomarkers for Myocardial Infarction. Front Cardiovasc Med. 2021; 7:617277. doi: 10.3389/fcvm.2020.617277
14. Yang C, Deng Z, Li J, Ren Z, Liu F. Meta-analysis of the relationship between interleukin-6 levels and the prognosis and severity of acute coronary syndrome. Clinics (Sao Paulo). 2021;76:e2690. doi:10.6061/clinics/2021/e2690

Publication:

«World of Medicine and Biology» Vol. 20 No. 87 (2024) , с. 90-94
УДК 616.127-005.8-085

DOI:

https://doi.org/10.26724/2079-8334-2024-1-87-90-94