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Published on: March 1, 2024
Predictors of juvenile idiopathic arthritis course
Jaryna J Bojko1, Ludmyla I Omelczenko2, Wiktor P Czernyszow2
1Lviv Regional Council Public Institution "Western Ukrainian Specialized Children's Medical Centre", Lviv, Ukraine.
Insights
A new model predicts treatment-refractory juvenile idiopathic arthritis (JIA) by analyzing clinical and cytokine factors. This tool helps personalize early treatment for better outcomes in children with JIA.
Area of Science:
- Pediatric Rheumatology
- Immunology
- Biostatistics
Background:
- Juvenile idiopathic arthritis (JIA) is a complex childhood inflammatory joint disease with variable prognoses.
- Early, accurate therapeutic choices are crucial for achieving inactive disease and remission in JIA patients.
- Predicting treatment refractoriness at onset can significantly improve long-term outcomes.
Purpose of the Study:
- To develop a predictive model for treatment-refractory JIA.
- To integrate clinical and cytokine profiles for risk assessment.
- To create an accessible application for automatic risk calculation.
Main Methods:
- Assessed disease subtype, prognostic factors, and activity in 105 JIA patients.
- Measured serum cytokine levels (e.g., IL-6, TNF-α) and soluble receptors (e.g., sCD25) via immunoenzymatic assays.
- Utilized statistical analysis to identify significant predictors of refractory disease.
Main Results:
- Systemic JIA subtype, moderate/high disease activity, and poor prognostic factors are linked to refractory courses.
- Elevated levels of soluble interleukin 2 receptor (sCD25) and interleukin 6 (IL-6) significantly predict treatment resistance.
- A Microsoft Excel application was developed to automatically calculate JIA treatment-refractoriness risk based on 10 factors.
Conclusions:
- The developed application enables early prediction of JIA disease course.
- Personalized treatment protocols can be initiated based on predicted risk.
- This tool facilitates timely and targeted therapeutic interventions for JIA patients.
Introduction:
Juvenile idiopathic arthritis (JIA) is a heterogeneous group of inflammatory diseases of joints in children with various and often unfavourable prognosis. It is possible to improve the outcome of the disease in patients with JIA by a correct therapeutic choice made at disease onset - one that enables fast achievement of an inactive disease state and remission. The aim of the investigation was to develop a model/application for automatic calculation of risk of treatment-refractory JIA taking into account the combined action of clinical and cytokine factors.
Material And Methods:
Disease subtype was determined in 105 patients with JIA, as well as the number of poor prognostic factors and disease activity level. Blood serum cytokine levels (IL-1β, IL-4, IL-6, IL-8, IL-10, IL-17, TNF-α, IFN-γ) and their soluble receptors and agonists - interleukin 1 receptor agonist (IL-1Ra), soluble interleukin 2 receptor (sCD25), interleukin 6 (sIL6R), soluble tumour necrosis factor receptor 1 (sTNFR1) - were determined in these patients using immunoenzymatic laboratory methods.
Results:
The following prognostic factors were taken into account in the study: JIA subtype, disease activity, presence of clinically unfavourable factors and cytokine characteristics. We determined that systemic subtype of JIA, moderate and high disease activity, presence of factors of poor disease course and sCD25 and IL-6 levels are statistically significant factors of treatment-refractory disease course. A Microsoft Excel application was developed for automatic calculation of risk of treatment-refractory JIA in a specific patient based on 10 factors.
Conclusions:
Use of an application for automatic calculation of risk of treatment-refractory JIA enables prediction of JIA disease course in patients at disease onset and personalization of the treatment protocol.
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