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. 2022 Mar;8(1):e002042.
doi: 10.1136/rmdopen-2021-002042.

Drivers of non-zero physician global scores during periods of inactive disease in juvenile idiopathic arthritis

Affiliations

Drivers of non-zero physician global scores during periods of inactive disease in juvenile idiopathic arthritis

Alessandra Alongi et al. RMD Open. 2022 Mar.

Abstract

Objective: To investigate the frequency in which the physician provides a global assessment of disease activity (PhGA) >0 and an active joint count (AJC)=0 in children with juvenile idiopathic arthritis (JIA) and search for determinants of divergence between the two measures.

Methods: Data were extracted from a multinational cross-sectional dataset of 9966 patients who had JIA by International League of Associations for Rheumatology criteria, were recruited between 2011 and 2016, and had both PhGA and AJC recorded by the caring paediatric rheumatologist at the study visit. Determinants of discordance between PhGA>0 and AJC=0 were searched for by multivariable logistic regression and dominance analyses.

Results: The PhGA was scored >0 in 1647 (32.3%) of 5103 patients who had an AJC of 0. Independent associations with discordant assessment were identified for tender or restricted joint count >0, history of enthesitis, presence of active uveitis or systemic features, enthesitis-related or systemic arthritis, increased acute phase reactants, pain visual analogue scale (VAS)>0, and impaired physical or psychosocial well-being. In dominance analysis, tender joint count accounted for 35.43% of PhGA variance, followed by pain VAS>0 (17.72%), restricted joint count >0 (16.14%) and physical health score >0 (11.42%).

Conclusion: We found that many paediatric rheumatologists did not mark a score of 0 for patients who they found not to have active joints. The presence of pain in joints not meeting the definition of active joint used in JIA was the main determinant of this phenomenon.

Keywords: arthritis; arthritis, juvenile; outcome assessment, health care.

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Conflict of interest statement

Competing interests: None declared.

Figures

Figure 1
Figure 1
UpSet plot showing distinct combinations of items of 2011 inactive disease criteria ranked by frequency in patients with no active joints.
Figure 2
Figure 2
Forest plot based on the results of multivariable logistic regression analysis of the factors associated with discordance between the physician global assessment of disease activity and the active joint count. Complete data were available on 3491 patients. The area under the receiver operating curve of the model was 0.80. ERA, Enthesitis-related arthritis; ILAR, International League of Associations for Rheumatology; RF, rheumatoid factor; VAS, visual analogue scale.
Figure 3
Figure 3
Dominance analysis of relative importance of predictive factors in explaining the variance in physician global assessment of disease activity. The average contribution of each covariate is standardised to be out of 100% (ie, divided by the sum of the general dominance weight of all variables, R2=0.254) and reported as percentage of contribution to the predicted variance. ILAR, International League of Associations for Rheumatology; VAS, visual analogue scale.
Figure 4
Figure 4
Forest plot based on the results of multivariable logistic regression analysis of the factors associated with discordance between the physician global assessment of disease activity and all other 2011 inactive disease criteria. Complete data were available on 2090 patients. The area under the receiver operating curve of the model was 0.78. ERA, Enthesitis-related arthritis; ILAR, International League of Associations for Rheumatology; RF, rheumatoid factor; VAS, visual analogue scale; JIA, juvenile idiopathic arthritis.

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