Brief Report: Predicting Functional Disability: One-Year Results From the Scottish Early Rheumatoid Arthritis Inception Cohort.

OBJECTIVE: To identify baseline prognostic indicators of disability at 1 year within a contemporary early inflammatory arthritis inception cohort and then develop a clinically useful tool to support early patient education and decision-making. METHODS: The Scottish Early Rheumatoid Arthritis (SERA) inception cohort is a multicenter, prospective study of patients with newly presenting RA or undifferentiated arthritis. SERA data were analyzed to determine baseline predictors of disability (defined as a Health Assessment Questionnaire [HAQ] score of ≥1) at 1 year. Clinical and psychosocial baseline exposures were entered into a forward stepwise logistic regression model. The model was externally validated using newly accrued SERA data and subsequently converted into a prediction tool. RESULTS: Of the 578 participants (64.5% female), 36.7% (n = 212) reported functional disability at 1 year. Functional disability was independently predicted by baseline disability (odds ratio [OR] 2.67 [95% confidence interval (95% CI) 1.98, 3.59]), depression (OR 2.52 [95% CI 1.18, 5.37]), anxiety (OR 2.37 [95% CI 1.33, 4.21]), being in paid employment with absenteeism during the last week (OR 1.19 [95% CI 0.63, 2.23]), not being in paid employment (OR 2.36 [95% CI 1.38, 4.03]), and being overweight (OR 1.61 [95% CI 1.04, 2.50]). External validation (using 113 newly acquired patients) evidenced good discriminative performance with a C statistic of 0.74, and the calibration slope showed no evidence of model overfit (P = 0.31). CONCLUSION: In the context of modern early inflammatory arthritis treatment paradigms, predictors of disability at 1 year appear to be dominated by psychosocial rather than more traditional clinical measures. This indicates the potential benefit of early access to nonpharmacologic interventions targeting key psychosocial factors, such as mental health and work disability.

Development and testing of new candidate psoriatic arthritis screening questionnaires combining optimal questions from existing tools.

OBJECTIVE: Several questionnaires have been developed to screen for psoriatic arthritis (PsA), but head-to-head studies have found limitations. This study aimed to develop new questionnaires encompassing the most discriminative questions from existing instruments. METHODS: Data from the CONTEST study, a head-to-head comparison of 3 existing questionnaires, were used to identify items with a Youden index score of ≥0.1. These were combined using 4 approaches: CONTEST (simple additions of questions), CONTESTw (weighting using logistic regression), CONTESTjt (addition of a joint manikin), and CONTESTtree (additional questions identified by classification and regression tree [CART] analysis). These candidate questionnaires were tested in independent data sets. RESULTS: Twelve individual questions with a Youden index score of ≥0.1 were identified, but 4 of these were excluded due to duplication and redundancy. Weighting for 2 of these questions was included in CONTESTw. Receiver operating characteristic (ROC) curve analysis showed that involvement in 6 joint areas on the manikin was predictive of PsA for inclusion in CONTESTjt. CART analysis identified a further 5 questions for inclusion in CONTESTtree. CONTESTtree was not significant on ROC curve analysis and discarded. The other 3 questionnaires were significant in all data sets, although CONTESTw was slightly inferior to the others in the validation data sets. Potential cut points for referral were also discussed. CONCLUSION: Of 4 candidate questionnaires combining existing discriminatory items to identify PsA in people with psoriasis, 3 were found to be significant on ROC curve analysis. Testing in independent data sets identified 2 questionnaires (CONTEST and CONTESTjt) that should be pursued for further prospective testing.