Abstract

To investigate, in anti-CCP antibody-positive individuals with musculoskeletal symptoms but no clinical synovitis (CCP+ at-risk), the additional value of US for the prediction of inflammatory arthritis. Furthermore, to define a concise US protocol for feasible risk prediction. Demographic and clinical data were collected in 417 CCP+ at-risk (Leeds CCP cohort) with a baseline US scan assessing synovitis and bone erosions in 36 joints, and a follow-up duration ≥24 months. Multivariable binary regression models for inflammatory arthritis development at 24 months evaluated routine clinical variables associated with inflammatory arthritis alone ('clinical' model) and combined with a 36-joint US scanning protocol ('clinical-US extended' model). A 'clinical-US short' model was also developed. At 24 months, 92/417 (22.1%) CCP+ at-risk developed inflammatory arthritis (median time 7 months, interquartile range 3-12). The 'clinical-US extended' model performed better than the 'clinical' model [area under the curve (AUC) 0.788 vs AUC 0.731, respectively, P < 0.001] with an odds ratio for inflammatory arthritis development of 3.18 (95% CI 1.80-5.63) for US synovitis and 2.54 (95% CI 1.21-5.37) for bone erosions. The 'clinical-US short' model, which retained the wrists, knees and MTP5 joints, performed better (AUC 0.782) than the 'clinical' model (P < 0.001) and similarly (difference in Akaike information criteria <2) to the 'clinical-US extended' model. US provides valuable information for predicting progression to inflammatory arthritis in CCP+ individuals both alone and in addition to clinical variables. US synovitis was associated with a 3-fold increase risk of inflammatory arthritis development. A concise US protocol of six joints provides clinically feasible risk prediction in CCP+ at-risk.

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