Predictive factors and treatment outcomes associated with difficult-to-treat rheumatoid arthritis conditions: the ANSWER cohort study.

OBJECTIVES: To investigate the predictive factors for difficult-to-treat rheumatoid arthritis (D2T RA) and assess the efficacy of biologic DMARDs (bDMARDs) and Janus kinase inhibitors (JAKi). METHODS: Retrospective analysis was conducted on data from the ANSWER cohort comprising 3623 RA patients treated with bDMARDs or JAKi in Japan. Multivariate Cox proportional hazards modelling was used to analyse the hazard ratios (HRs) for treatment retention. RESULTS: Of the 3623 RA patients, 450 (12.4%) met the first two criteria of the EULAR D2T RA definition (defined as D2T RA in this study). Factors contributing to D2T RA included age over 75 (compared with those under 65, hazard ratio [HR] = 0.46; 95% CI: 0.31, 0.69), higher rheumatoid factor (RF) titres (HR = 1.005; 95% CI: 1.00, 1.01), higher clinical disease activity index (HR = 1.02; 95% CI: 1.01, 1.03), lower methotrexate dosage (HR = 0.97; 95% CI: 0.95, 0.99), and comorbidities like hypertension (HR = 1.53; 95% CI: 1.2, 1.95) and diabetes (HR = 1.37; 95% CI: 1.09, 1.73). Anti-IL-6 receptor antibodies (aIL-6R, HR = 0.53; 95% CI: 0.37, 0.75) and JAKi (HR = 0.64; 95% CI: 0.46, 0.90) were associated with fewer discontinuations due to ineffectiveness compared with TNF inhibitors. Oral glucocorticoid usage (HR = 1.65; 95% CI: 1.11, 2.47) was linked to increased discontinuation due to toxic adverse events. CONCLUSION: Younger onset, higher RF titres, and comorbidities predicted D2T RA development. For managing D2T RA, aIL-6R and JAKi exhibited superior drug retention.

Risk prediction model for mortality in microscopic polyangiitis: multicentre REVEAL cohort study.

BACKGROUND: To establish refined risk prediction models for mortality in patients with microscopic polyangiitis (MPA) by using comprehensive clinical characteristics. METHODS: Data from the multicentre Japanese registry of patients with vasculitis (REVEAL cohort) were used in our analysis. In total, 194 patients with newly diagnosed MPA were included, and baseline demographic, clinical, laboratory, and treatment details were collected. Univariate and multivariate analyses were conducted to identify the significant risk factors predictive of mortality. RESULTS: Over a median follow-up of 202.5 (84-352) weeks, 60 (30.9%) of 194 patients died. The causes of death included MPA-related vasculitis (18.3%), infection (50.0%), and others (31.7%). Deceased patients were older (median age 76.2 years) than survivors (72.3 years) (P < 0.0001). The death group had shorter observation periods (median 128.5 [35.3-248] weeks) than the survivor group (229 [112-392] weeks). Compared to survivors, the death group exhibited a higher smoking index, lower serum albumin levels, higher serum C-reactive protein levels, higher Birmingham Vasculitis Activity Score (BVAS), higher Five-Factor Score, and a more severe European Vasculitis Study Group (EUVAS) categorization system. Multivariate analysis revealed that higher BVAS and severe EUVAS independently predicted mortality. Kaplan-Meier survival curves demonstrated lower survival rates for BVAS ≥20 and severe EUVAS, and a risk prediction model (RPM) based on these stratified patients into low, moderate, and high-risk mortality groups. CONCLUSIONS: The developed RPM is promising to predict mortality in patients with MPA and provides clinicians with a valuable tool for risk assessment and informed clinical decision-making.