Comparison of rheumatoid arthritis composite disease activity indices and residual activity in a Brazilian multicenter study- REAL study.

INTRODUCTION: Rheumatoid arthritis (RA) composite disease activity indices have become handy tools in daily clinical practice and crucial in defining remission or low disease activity, the main target of the RA treatment. However, there is no definition of the best index to assess disease activity in clinical practice. OBJECTIVES: To compare the residual activity among the indices with the ACR/EULAR remission criteria (Boolean method) to identify the most feasible for assessing remission in daily practice, also considering correlation and concordance, sensibility, and specificity. PATIENTS AND METHODS: We selected 1116 patients with established RA from the real-life rheumatoid arthritis study database-REAL. The composite disease activity indices-DAS28-ESR, DAS28-CRP, SDAI, and CDAI-and their components were compared to the Boolean method to identify residual activity using binomial regression. The indices were analyzed for correlation and agreement using the Spearman index and weighted kappa. The chi-square test evaluated sensibility and specificity for remission based on the Boolean method. RESULTS: DAS28-CRP overestimated remission and confirmed higher residual activity than SDAI and CDAI. The indices showed good correlation and agreement, with a better relationship between SDAI and CDAI (k:0,88). CDAI and SDAI showed higher sensitivity and specificity for remission based on the Boolean method. CDAI was performed in 99% of patients, while DAS28 and SDAI were completed in approximately 85%. CONCLUSIONS: Although all composite indices of activity can be used in clinical practice and showed good agreement, CDAI and SDAI have better performance in evaluating remission based on the Boolean method, showing less residual activity and higher sensibility and specificity. In addition, CDAI seems to be more feasible for disease activity evaluation in daily clinical practice, especially in developing countries.

Predictors of progression to systemic sclerosis: analysis of very early diagnosis of systemic sclerosis in a large single-centre cohort.

OBJECTIVE: This study analysed the very early disease of SSc (VEDOSS) characteristics in a group of 217 patients with RP and at least one manifestation of SSc in search of predictors for the progression to SSc. METHODS: This was a cross-sectional single-centre analysis of patients presenting with RP with a specific SSc clinical manifestation or SSc autoantibody or SD pattern at nailfold capillaroscopy (SD-NFC), without skin involvement, who attended a scleroderma outpatient clinic between 2010 and 2019. The performance of VEDOSS and the importance of the combination of VEDOSS characteristics to predict the progression to SSc were evaluated. RESULTS: Among 217 patients, 153 (70.5%) were classified as SSc, including 65 (30%) in the first investigation; 69.3% of the SSc patients met VEDOSS criteria compared with 6.3% of patients who did not progress to SSc. The combinations most associated with progression to SSc were RP + puffy fingers (PF) + positive ANA + SD-NFC and/or SSc-specific antibody (VEDOSS level 2), with an odds ratio (OR) of 19.52 (95% CI 4.48, 85.06; P < 0.001) and RP + PF + positive ANA (VEDOSS level 1; 'red flags') (OR 15.45; P < 0.001), while combinations without non-RP clinical symptoms, as RP + SD-NFC (OR 0.03; P < 0.001) and RP + anticentromere + SD-NFC (OR 0.06; P = 0.006) were associated with non-progression to SSc. CONCLUSION: Among patients with RP with at least one manifestation of SSc, without skin involvement, combinations of VEDOSS characteristics were the strongest predictors of progression to SSc at a median follow-up of 4 years.