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ObjectivesThis study aimed to expand knowledge about soluble low-density lipoprotein receptor-related protein 1 (sLRP1) in juvenile idiopathic arthritis (JIA) by determining associations of sLRP1 levels in nonsystemic JIA patients with clinical and inflammatory biomarker indicators of disease activity.MethodsPlasma sLRP1 and 44 inflammation-related biomarkers were measured at enrollment and 6 months later in a cohort of 96 newly diagnosed Canadian patients with nonsystemic JIA. Relationships between sLRP1 levels and indicators of disease activity and biomarker levels were analyzed at both visits.ResultsAt enrollment, sLRP1 levels correlated negatively with age and active joint counts. Children showed significantly higher levels of sLRP1 than adolescents (mean ranks: 55.4 and 41.9, respectively; P= 0.02). Participants with 4 or fewer active joints, compared to those with 5 or more active joints, had significantly higher sLRP1 levels (mean ranks: 56.2 and 40.7, respectively; P= 0.006). At enrollment, considering the entire cohort, sLRP1 correlated negatively with the number of active joints (r = –0.235, P= 0.017). In the entire cohort, sLRP1 levels at enrollment and 6 months later correlated with 13 and 6 pro- and antiinflammatory biomarkers, respectively. In JIA categories, sLRP1 correlations with inflammatory markers were significant in rheumatoid factor–negative polyarticular JIA, oligoarticular JIA, enthesitis-related arthritis, and psoriatic arthritis at enrollment. Higher sLRP1 levels at enrollment increased the likelihood of absence of active joints 6 months later.ConclusionPlasma sLRP1 levels correlate with clinical and biomarker indicators of short-term improvement in JIA disease activity, supporting sLRP1 as an upstream biomarker of potential utility for assessing JIA disease activity and outcome prediction.

Undervaluing the effectiveness of conventional treatments may lead to overtreatment with biologic medications in children with juvenile idiopathic arthritis (JIA). Using data from a nationwide inception cohort and strict methods to control bias, the aim of our study was to estimate the real‐world effectiveness of simple JIAtreatment strategies recommended in current guidelines. Children with JIAwho were recruited at 16 Canadian centers from 2005 to 2010 were followed for up to 5 years. For each child, all observed treatment changes over time were assessed by independent physicians using prospectively collected data and published response criteria. Success was defined as attainment of inactive disease or maintenance of this state when stepping down treatment; minimally active disease was deemed acceptable for children with polyarticular JIA. Success rates were calculated for treatments tried ≥25 times, and logistic regression analysis identified features associated with success. A total of 4,429 treatment episodes were observed in 1,352 children. Nonsteroidal antiinflammatory drug (NSAID) monotherapy was attempted 697 times, mostly as initial treatment when <5 joints were involved, with a 54.4% success rate (95% confidence interval [95% CI] 50.3–58.6). NSAIDs plus joint injections had a 64.7% success rate (95% CI59.8–69.7). Adding methotrexate to NSAIDs and/or joint injections (attempted 566 times) had a 60.5% success rate (95% CI55.7–65.3). In adjusted analyses, each additional active joint reduced chances of success for treatment with NSAIDs (odds ratio [OR] 0.90 [95% CI0.85–0.94]) and for methotrexate combinations (OR0.96 [95% CI0.94–0.99]). Each additional year after disease onset reduced chances of success for treatment with methotrexate combinations (OR0.83 [95% CI0.72–0.95]). These real‐world effectiveness estimates show that conventional nonbiologic treatment strategies that are recommended in current guidelines are effective in achieving treatment targets in many children with JIA.

To describe changes in health‐related quality of life (HRQoL) over time in children with juvenile idiopathic arthritis (JIA), relative to other outcomes, and to identify predictors of unfavorable HRQoL trajectories. Children with JIAin the Research in Arthritis in Canadian Children emphasizing Outcomes (ReACCh‐Out) cohort were included. The Juvenile Arthritis Quality of Life Questionnaire (JAQQ, a standardized instrument), health‐related Quality of My Life (HRQoML, an instrument based on personal valuations), and JIAcore variables were completed serially. Analyses included median values, Kaplan‐Meier survival curves, and latent trajectory analysis. A total of 1,249 patients enrolled at a median of 0.5 months after diagnosis were followed for a median of 34.2 months. The degree of initial HRQoL impairment and probabilities of reaching the best possible HRQoL scores varied across JIAcategories (best for oligoarthritis, worst for rheumatoid factor–positive polyarthritis). Median times to attain best possible HRQoL scores (JAQQ59.3 months, HRQoML34.5 months), lagged behind those for disease activity, pain, and disability measures. Most patients followed trajectories with minimal or mild impairment; however, 7.6% and 13.8% of patients, respectively, followed JAQQand HRQoMLtrajectories with persistent major impairment in HRQoL. JIAcategory, aboriginal ethnicity, and baseline disease activity measures distinguished between membership in trajectories with major and minimal impairments. Improvement in HRQoL is slower than for disease activity, pain, and disability. Improvement of a measure based on respondents’ preferences (HRQoML) is more rapid than that of a standardized measure (JAQQ). Higher disease activity at diagnosis heralds an unfavorable HRQoL trajectory.

Objective.To determine whether adult disease severity subclassification systems for antineutrophil cytoplasmic antibody-associated vasculitis (AAV) are concordant with the decision to treat pediatric patients with cyclophosphamide (CYC).Methods.We applied the European Vasculitis Study (EUVAS) and Wegener’s Granulomatosis Etanercept Trial (WGET) disease severity subclassification systems to pediatric patients with AAV in A Registry for Childhood Vasculitis (ARChiVe). Modifications were made to the EUVAS and WGET systems to enable their application to this cohort of children. Treatment was categorized into 2 groups, “cyclophosphamide” and “no cyclophosphamide.” Pearson’s chi-square and Kendall’s rank correlation coefficient statistical analyses were used to determine the relationship between disease severity subgroup and treatment at the time of diagnosis.Results.In total, 125 children with AAV were studied. Severity subgroup was associated with treatment group in both the EUVAS (chi-square 45.14, p < 0.001, Kendall’s tau-b 0.601, p < 0.001) and WGET (chi-square 59.33, p < 0.001, Kendall’s tau-b 0.689, p < 0.001) systems; however, 7 children classified by both systems as having less severe disease received CYC, and 6 children classified as having severe disease by both systems did not receive CYC.Conclusion.In this pediatric AAV cohort, the EUVAS and WGET adult severity subclassification systems had strong correlation with physician choice of treatment. However, a proportion of patients received treatment that was not concordant with their assigned severity subclass.

OBJECTIVE: There are no validated tools for measuring disease activity in pediatric vasculitis. The Birmingham Vasculitis Activity Score (BVAS) is a valid disease activity tool in adult vasculitis. Version 3 (BVAS v.3) correlates well with physician’s global assessment (PGA), treatment decision, and C-reactive protein in adults. The utility of BVAS v.3 in pediatric vasculitis is not known. We assessed the association of BVAS v.3 scores with PGA, treatment decision, and erythrocyte sedimentation rate (ESR) at diagnosis in pediatric antineutrophil cytoplasmic antibody-associated vasculitis (AAV). METHODS: Children with AAV diagnosed between 2004 and 2010 at all ARChiVe centers were eligible. BVAS v.3 scores were calculated with a standardized online tool (www.vasculitis.org). Spearman’s rank correlation coefficient (rs) was used to test the strength of association between BVAS v.3 and PGA, treatment decision, and ESR. RESULTS: A total of 152 patients were included. The physician diagnosis of these patients was predominantly granulomatosis with polyangiitis (n = 99). The median BVAS v.3 score was 18.0 (range 0–40). The BVAS v.3 correlations were rs= 0.379 (95% CI 0.233 to 0.509) with PGA, rs= 0.521 (95% CI 0.393 to 0.629) with treatment decision, and rs= 0.403 (95% CI 0.253 to 0.533) with ESR. CONCLUSION: Applied to children with AAV, BVAS v.3 had a weak correlation with PGA and moderate correlation with both ESR and treatment decision. Prospective evaluation of BVAS v.3 and/or pediatric-specific modifications to BVAS v.3 may be required before it can be formalized as a disease activity assessment tool in pediatric AAV.