Abstract
Objective. To develop a model for automated prediction of the development of recurring reactive arthritis in children with symptoms of connective tissue dysplasia (CTD). Patients and methods. The work included two stages. At the first stage, in order to identify the predisposing factors to the development of reactive arthritis (ReA), two age- and sex-representative groups of children aged 3-17 years were formed: group 1 consisted of children with ReA (50 patients), group 2 – comparison group (25 conditionally healthy children from the general population). All children underwent a standard clinical examination with determination of CTD symptoms, and microbiological examination, including evaluation of the state of microbiocenosis of the distal colon by degrees; the ability of isolated microorganisms to biofilm formation (BF); levels of lactoferrin (LF) and lysozyme (LZC) in coprofiltrates of children. At the second stage, to create an automated prediction model, two additional groups of children were formed: 30 conditionally healthy children with CTD symptoms without arthritis and 30 conditionally healthy children without CTD symptoms. Stepwise discriminant analysis (DA) and the method of resultants mapping were used. Results. The factors determining the risk of ReA development in children with connective tissue dysplasia were identified. Highly informative markers associated with the development and course of ReA were established: the presence of external phenotypic symptoms and dysplasia of internal organs; dysbiotic disorders of the distal large intestine; high rates of microbial contamination and BF of intestinal microsymbionts; increased levels of LF and LZC in coprofiltrates of children. Conclusion. The diagnostic algorithm for automated prediction of the development of arthritis recurrence was developed, which allows primary care physicians to solve the problem of secondary prevention of ReA. Key words: reactive arthritis, children, connective tissue dysplasia, intestinal microbiota, prediction method
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
