Optimization of the method for predicting clinical outcomes of reactive arthritis in children
https://doi.org/10.21518/2079-701X-2018-11-117-121
Abstract
The comparative analysis of content of cytokine and significant local antimicrobial factors (IL-6, IL-8, IL-17, INF-γ, TNF-α, IL-10, CRP, lysozyme, lactoferrin) in the coprofiltrates and serum of patients with acute and chronic reactive arthritis (ReA) made it possible to determine the markers predicting the course and outcomes of arthritis. It is established that the method of predicting ReA involving the analysis of the parameters characterizing coprofiltrates of children is the more accurate and effective method.
About the Authors
O. E. Chelpachenko
Institute for Cellular and Intracellular Symbiosis, Ural Branch of Russian Academy of Sciences, Orenburg
Russian Federation
Russian Federation
E. I. Danilova
Orenburg State Medical University of the Ministry of Health of Russia
Russian Federation
Russian Federation
I. A. Nikiforov
Institute for Cellular and Intracellular Symbiosis, Ural Branch of Russian Academy of Sciences, Orenburg
Russian Federation
Russian Federation
I. N. Chainikova
Institute for Cellular and Intracellular Symbiosis, Ural Branch of Russian Academy of Sciences, Orenburg
Russian Federation
Russian Federation
N. B. Perunova
Institute for Cellular and Intracellular Symbiosis, Ural Branch of Russian Academy of Sciences, Orenburg
Russian Federation
Russian Federation
E. V. Ivanova
Institute for Cellular and Intracellular Symbiosis, Ural Branch of Russian Academy of Sciences, Orenburg
Russian Federation
Russian Federation
L. P. Fedotova
Institute for Cellular and Intracellular Symbiosis, Ural Branch of Russian Academy of Sciences, Orenburg
Russian Federation
Russian Federation
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Review
For citations:
Chelpachenko OE, Danilova EI, Nikiforov IA, Chainikova IN, Perunova NB, Ivanova EV, Fedotova LP. Optimization of the method for predicting clinical outcomes of reactive arthritis in children. Meditsinskiy sovet = Medical Council. 2018;(11):117-121. (In Russ.) https://doi.org/10.21518/2079-701X-2018-11-117-121
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