Rheumatoid artrhitis treatment in Brazil: data from a large real-life multicenter study

Real-world treatment patterns of rheumatoid arthritis in Brazil: analysis of DATASUS national administrative claims data for pharmacoepidemiology studies (2010-2020)

Our study assessed DATASUS as a potential source for pharmacoepidemiologic studies in rheumatoid arthritis (RA) in the Brazilian population focusing on treatment patterns and determinants of initiating or switching to a novel therapy. This was a descriptive database study of RA patients with at least one claim of RA and ≥ 2 claims of disease-modifying anti-rheumatic drug (DMARD); conventional synthetic (cs), biologic (b) or targeted synthetic (ts) DMARD with more than 6 months of follow-up from 01-Jan-2010 to 31-Dec-2020. Analyses were stratified for SUS-exclusive and SUS+ private user cohorts. We identified 250,251 patients with RA in DATASUS: mean age of 58.4 years, majority female (83%) and white (58%). 62% were SUS-exclusive and 38% SUS+ private. Most common bDMARDs were adalimumab and etanercept. Age (adjusted odds ratio 1.78 [50+]; 95% CI 1.57-2.01), SUS exclusive status (0.53; 0.47-0.59), distance to clinic [160+ km] (0.57; 0.45-0.72), and pre-index csDMARD claims (1.23; 1.08-1.41) were independent predictors of initiating a novel oral tsDMARD. Switching from bDMARD to tsDMARD, associations were similar, except for the direction of associations for SUS exclusive status (adjusted hazard ratio 1.10; 1.03-1.18), distance to clinic (1.18; 1.03-1.35), and number of previous bDMARD (0.15; 0.14-0.16). DATASUS is a source suitable for treatment-related analyses in RA reflecting the public health system in Brazil.

Predictors of Remission and Low Disease Activity in Rheumatoid Arthritis Patients: Results From the Follow-up of a Real-World Peruvian Cohort

BACKGROUND

Clinical remission is the goal in rheumatoid arthritis (RA) management; however, this can be difficult to achieve in several parts of the world. Our objective was to determine predictors of remission and remission/low disease activity (LDA) in RA.

METHODS

A longitudinal real-setting RA cohort was followed up (January 2016-2020). Predictors examined were sex, age at diagnosis, disease duration, socioeconomic status, tobacco use, rheumatoid factor titer, comorbidities (Charlson index), Simple Disease Activity Index (SDAI) score, disability (Multidimensional Disease Health Assessment Questionnaire), health-related quality of life (Short Form-36 questionnaire), glucocorticoid dose, biological/target synthetic disease-modifying antirheumatic drugs, and conventional DMARD (c-DMARD) use. Univariable and multivariable generalized estimating equation models were done to determine predictors of remission (at a given visit) and sustained remission (2 consecutives visits), using the SDAI definition (0 or <3.3). Similarly, remission/LDA (SDAI <11) predictors were examined.

RESULTS

Five hundred thirty RA patients included the following: 160 patients (30.2%) achieved remission in at least 1 visit, and 126 patients (23.77%) achieved sustained remission. On the multivariable analysis glucocorticoid dose (odds ratio [OR], 1.060; 95% confidence interval [CI], 1.027-1.094; p = 0.004) and current (OR, 2.293; 95% CI, 1.811-2.903; p < 0.001) or past (OR, 1.383; 95% CI, 1.127-1.698; p = 0.002) use of c-DMARDs predicted remission/LDA in at least 1 visit, whereas the SDAI (OR, 0.951; 95% CI, 0.942-0.959; p < 0.001), Multidimensional Disease Health Assessment Questionnaire (OR, 0.648; 95% CI, 0.549-0.764; p < 0.001), and age at diagnosis (OR, 0.994; 95% CI, 0.990-0.998; p = 0.004) were negative predictors. As to sustained remission/LDA, current (OR, 2.012; 95% CI, 1.458-2.776: p < 0.001) or past (OR, 1.517; 95% CI, 1.155-1.993; p = 0.003) use of c-DMARDs, having a better Short Form-36 questionnaire physical component summary (OR, 1.022; 95% CI, 1.014-1.029; p < 0.001), and older age at diagnosis (OR, 1.013; 95% CI, 1.003-1.022; p = 0.008) predicted it, whereas SDAI (OR, 0.949; 95% CI, 0.933-0.965; p < 0.001) and medium low/low socioeconomic status (OR, 0.674; 95% CI, 0.500-0.909; p = 0.010) were negative predictors.

CONCLUSION

During follow-up of this real-world RA cohort, c-DMARD use predicted remission and remission/LDA. In contrast, disease activity was a negative predictor.