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Objectives: The aim of the investigation was to compare blood calprotectin (MRP8/14, S100A 8/9) levels in patients with systemic-onset, polyarticular, RF-negative and oligoarticular subtypes of juvenile idiopathic arthritis (JIA), and to explore links between blood calprotectin levels and clinical and laboratory markers of JIA activity. Material and methods: Measurement of calprotectin in blood serum was performed in 160 patients with JIA followed up at Lviv Regional Council Public Institution “Western-Ukrainian Specialised Children’s Medical Centre”. Seventeen patients with systemic-onset JIA (sJIA) and 49 patients with other JIA subtypes (RF-negative polyarthritis and oligoarthritis) in the active phase of the disease were included in this study. Determination of calprotectin levels in blood serum was performed using EK-MRP8/14 Buhlmann Calprotectin reagents (Buhlmann, Switzerland) by the ELISA method. Results: The results of the investigations showed that blood calprotectin levels were higher in patients with systemic-onset subtype of the disease (median 13,800 ng/ml), and differed significantly from levels in healthy children (median 1,800 ng/ml, p = 0.00002), levels in patients with articular subtypes of JIA (median 2,700 ng/ml, p = 0.000008), and patients with RF-negative polyarthritis (median 3,800 ng/ml, p = 0.003226) and oligoarthritis (median 2,500 ng/ml, p = 0.000009). The highest blood calprotectin levels were found in patients with newly diagnosed sJIA, the median being 32,500 ng/ml (range: 13,800–177,000 ng/ml). Direct correlations were found between blood calprotectin and JADAS 27 activity score (p = 0.000009), ESR (p = 0.000079) and CRP (p = 0.000058). Conclusions: Blood calprotectin level is one of the measures that can be used to confirm the diagnosis of sJIA and to monitor the disease activity and therapy effectiveness.

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.