Retention of tocilizumab with and without methotrexate during maintenance therapy for rheumatoid arthritis: the ACTRA-RI cohort study

Real-world Comparative Effectiveness of Methotrexate-based Combinations for Rheumatoid Arthritis: A Retrospective Cohort Study

PURPOSE

Guidelines recommend using disease-modifying antirheumatic drugs (DMARDs) in combination with methotrexate (MTX) for patients with rheumatoid arthritis (RA) after monotherapy. Little is known about the real-world comparative effectiveness of these MTX-DMARD combinations. This study compared the effectiveness of various MTX-based DMARD combinations for patients with RA initiating MTX-DMARD combination therapy using administrative claims database.

METHODS

This retrospective cohort study included adults (aged ≥18 years) with RA who initiated MTX combination treatment with conventional synthetic DMARDs (csDMARDs), tumor necrosis factor inhibitor (TNFi) biologic DMARDs (bDMARDs), non-TNFi bDMARDs, or targeted synthetic DMARDs (tsDMARDs) between July 1, 2012, and December 31, 2013 (index date), from the MarketScan Commercial Claims Data. Patients had continuous enrollment from the 6 months of preindex period until the 12 months of postindex period. The MTX-based DMARD combination therapy cohort was defined as ≥1 MTX prescription in the first 30 days from the index date and ≥14 days overlapping use of the prescription fills of the MTX and the index DMARD. Effectiveness was measured by using the claims algorithm (dosing, switching, addition, oral glucocorticoid use, or multiple glucocorticoid injection). Propensity score analysis with the inverse probability of treatment weighting (PS-IPTW), estimated by using the generalized boosted machine learning method, was used to balance the distribution of baseline variables between the combination groups. Multivariable logistic regression using PS-IPTW was conducted to compare the effectiveness of the combination groups. Sensitivity analysis evaluated the modified effectiveness algorithms or the time to the first treatment failure.

FINDINGS

A total of 3174 adult patients with RA starting an MTX-DMARD combination therapy were identified (mean [SD] age, 50 [9] years), including 1568 (49%) initiating a csDMARD + MTX, 1343 (42%) initiating TNFi + MTX, and 240 (8%) initiating non-TNFi bDMARD + MTX, and 23 (1%) initiating tsDMARD + MTX. Owing to the small sample, the tsDMARD combination group was not included in the comparative analysis. Algorithm-based therapy effectiveness was found in 9.95% of the csDMARD + MTX, 20.48% of the TNFi + MTX, and 20.83% of the non-TNFi + MTX groups. PS-IPTW showed that the csDMARD combination is less effective (adjusted odds ratio, 0.422; 95% CI, 0.341-0.524) than the TNFi combination; however, the non-TNFi biologic combination had similar effectiveness (aOR, 1.063; 95% CI, 0.680-1.662) compared to the TNFi combination. Sensitivity analyses confirmed the main results.

IMPLICATIONS

Among RA patients initiating MTX-DMARD combinations, both non-TNFi biologics and TNFi-based combinations with MTX were equally effective, but csDMARD + MTX was less effective than the TNFi plus MTX.

Immunomics analysis of rheumatoid arthritis identified precursor dendritic cells as a key cell subset of treatment resistance

OBJECTIVES

Little is known about the immunology underlying variable treatment response in rheumatoid arthritis (RA). We performed large-scale transcriptome analyses of peripheral blood immune cell subsets to identify immune cells that predict treatment resistance.

METHODS

We isolated 18 peripheral blood immune cell subsets of 55 patients with RA requiring addition of new treatment and 39 healthy controls, and performed RNA sequencing. Transcriptome changes in RA and treatment effects were systematically characterised. Association between immune cell gene modules and treatment resistance was evaluated. We validated predictive value of identified parameters for treatment resistance using quantitative PCR (qPCR) and mass cytometric analysis cohorts. We also characterised the identified population by synovial single cell RNA-sequencing analysis.

RESULTS

Immune cells of patients with RA were characterised by enhanced interferon and IL6-JAK-STAT3 signalling that demonstrate partial normalisation after treatment. A gene expression module of plasmacytoid dendritic cells (pDC) reflecting the expansion of dendritic cell precursors (pre-DC) exhibited strongest association with treatment resistance. Type I interferon signalling was negatively correlated to pre-DC gene expression. qPCR and mass cytometric analysis in independent cohorts validated that the pre-DC associated gene expression and the proportion of pre-DC were significantly higher before treatment in treatment-resistant patients. A cluster of synovial DCs showed both features of pre-DC and pro-inflammatory conventional DC2s.

CONCLUSIONS

An increase in pre-DC in peripheral blood predicted RA treatment resistance. Pre-DC could have pathophysiological relevance to RA treatment response.

Comparing the effectiveness and safety of Abatacept and Tocilizumab in elderly patients with rheumatoid arthritis

Background

The number of biological DMARDs (bDMARDs) used in elderly patients with rheumatoid arthritis (RA) has increased in recent years. We aimed to compare the drug retention rates and safety of abatacept (ABT) and tocilizumab (TCZ) in elderly patients with RA.

Methods

A total 125 elderly patients with RA (>65 years) who began therapy with either ABT (n = 47) or TCZ (n = 78) between 2014 and 2021 at our institute were enrolled. We compared the drug retention rate and clinical response at 24 weeks between elderly patients with RA treated with ABT and those treated with TCZ. Adverse events (AEs) and the reasons for drug discontinuation were assessed.

Results

There was no significant difference in demographic characteristics except for the use of glucocorticoid between the ABT and TCZ groups. There was no significant difference in the drug retention rate between the ABT and TCZ groups. Furthermore, there was no significant difference in the discontinuation rates due to the lack of effectiveness between these two groups. The proportions of the patients archiving low disease activity at 24 weeks did not differ significantly between the two groups. Whereas, the discontinuation rates due to AEs, including interstitial lung disease (ILD), seemed higher in the TCZ group than in the ABT group. In TCZ-treated group, the concomitant use of methotrexate (MTX) significantly increased the incidences of AEs leading to the discontinuation of TCZ. Whereas these was no significant impact of concomitant use of MTX on the incidences of AEs leading to discontinuation in ABT-treated group.

Conclusions

In elderly patients with RA treated with ABT and TCZ, drug retention rates were equivalent between the two groups. There were some differences in safety profiles between ABT and TCZ, and the rates of discontinuation due to AEs, including ILD, seem to be lower with ABT than with TCZ in elderly patients with RA.

Real-Life Retention Rates and Reasons for Switching of Biological DMARDs in Rheumatoid Arthritis, Psoriatic Arthritis, and Ankylosing Spondylitis

Aims: To determine real-life biologic/targeted synthetic disease-modifying anti-rheumatic drug (b/tsDMARD) retention rates in rheumatoid arthritis (RA), psoriatic arthritis (PsA), and ankylosing spondylitis (AS), explore reasons for switching and to compare results to previously published data.

Methods: Time-to-event analysis for mean treatment duration (estimated as the Restricted Mean Survival Time), b/tsDMARD failure, and b/tsDMARDs switching was performed for 230 patients (n = 147 RA, 46 PsA, 37 AS) who commenced their first b/tsDMARD between 2008 and 2018. Patients were managed in a dedicated “biologics” clinic in a tertiary hospital; the choice of b/tsDMARD was clinician driven based on medical factors and patient preferences. The effect of covariates on switching risk was analysed by a conditional risk-set Cox proportional-hazards model. Treatment retention data was compared to a historical analysis (2002–2008).

Results: The proportions remaining on treatment (retention) were similar, throughout follow-up, for the first, second and third b/tsDMARDs across all patients (p = 0.46). When compared to RA patients, the risk of b/tsDMARD failure was halved in PsA patients [Hazard Ratio (HR) = 0.50], but no different in AS patients (HR = 1.0). The respective restricted mean (95%CI) treatment durations, estimated at 5 years of follow-up, were 3.1 (2.9, 3.4), 4.1 (3.7, 4.6), and 3.3 (2.8, 3.9) years, for RA, PsA, and AS, respectively. Age, gender, disease duration, smoking status and the use of concomitant csDMARDS were not associated with the risk of bDMARD failure. The most common reasons for switching in the first and subsequent years were secondary (n = 62) and primary (n = 35) failure. Comparison with historical data indicated no substantive differences in switching of the first biologic for RA and PsA.

Conclusion: Similar retention rates of the second and third compared to the first b/tsDMARD in RA, PsA, and AS support a strategy of differential b/tsDMARDs use informed by patient presentation. Despite greater availability of b/tsDMARDs with differing mechanisms of action, retention rates of the first b/tsDMARD remain similar to previous years.

Tofacitinib versus tocilizumab in the treatment of biological-naïve or previous biological-failure patients with methotrexate-refractory active rheumatoid arthritis

Objectives

To compare effectiveness between tofacitinib and tocilizumab treatments for biological disease-modifying antirheumatic drug (bDMARD)-naïve patients or previous bDMARD-failure patients with active rheumatoid arthritis (RA) refractory to methotrexate (MTX).

Methods

We used two ongoing real-world registries of patients with RA who had first started tofacitinib or tocilizumab between August 2013 and February 2019 at our institutions. Clinical disease activity index (CDAI)-based improvements at 12 months were used for comparisons between tofacitinib and tocilizumab treatments, separately for bDMARD-naïve and previous bDMARD-failure patients.

Results

A total of 464 patients with RA with high or moderate CDAI were enrolled (247 with tofacitinib and 217 with tocilizumab). After adjustments for treatment-selection bias by propensity score matching, we showed that tofacitinib was more likely to induce and maintain ≥85% improvement in CDAI (CDAI85), CDAI70 and remission at 12 months compared with tocilizumab in bDMARD-naïve patients. After adjusting for concurrent use of MTX and prednisolone, the ORs of tofacitinib versus tocilizumab were 3.88 (95% CI 1.87 to 8.03) for CDAI85, 2.89 (95% CI 1.43 to 5.84) for CDAI70 and 3.31 (95% CI 1.69 to 6.48) for remission. These effects were not observed in bDMARD-failure patients. In tofacitinib treatment for bDMARD-failure patients, the number of previously failed bDMARD classes was not associated with CDAI-based improvements. The rate of overall adverse events was similar between both treatments. Similar ORs were obtained from patients adjusted by inverse probability of treatment weighting.

Conclusions

Compared with tocilizumab, tofacitinib can induce greater improvements during the first 12-month treatment in bDMARD-naïve patients, but this difference was not observed in previous bDMARD-failure patients.

Efficacy, safety, and adherence of tocilizumab therapy in elderly patients with rheumatoid arthritis: A real-world observational study

Objective: We evaluated the efficacy, safety, and drug survival rate of tocilizumab in the elderly patients with rheumatoid arthritis (RA). Methods: This study was conducted in 108 RA patients who started tocilizumab between 2008 and 2018. The patients were divided into a young group (<65 years) and an elderly group (≥65 years). The efficacy, safety, and drug survival rate of tocilizumab were compared between the two groups. Results: At baseline, there were no significant differences between the elderly ( n = 45) and the young group ( n = 63) in RA duration, percentage of biologic-naïve, and RA disease activity. Health Assessment Questionnaire-Disability Index (HAQ-DI) was higher, renal function was worse, and frequency of using methotrexate was lower in the elderly group. Tocilizumab demonstrated similar efficacy in the elderly and the young group with Clinical Disease Activity Index and HAQ-DI. Compared with baseline, the frequency of steroid use was lower at one year after initiation of tocilizumab in both groups. There was no significant difference between the groups in the drug survival rate of tocilizumab for three years. Discontinuation rates of TCZ due to toxic adverse events were similar between the two groups. Conclusions: The efficacy, steroid-sparing effect, and safety of tocilizumab therapy, as well as the drug survival rate for three years, were not inferior in elderly RA compared to young RA patients.

Combination therapy of ginsenoside compound K and methotrexate was efficient in elimination of anaemia and reduction of disease activity in adjuvant-induced arthritis rats

CONTEXT

Ginsenoside compound K (CK) has anti-inflammatory, immunoregulatory, and myelosuppressive protective effects. Methotrexate (MTX) is widely used in combination therapy for rheumatoid arthritis (RA).

OBJECTIVE

To evaluate the effects of combination therapy of CK and MTX on anaemia and anti-arthritis in adjuvant-induced arthritis (AA) rats.

MATERIALS AND METHODS

AA was induced in rats by Complete Freund's adjuvant, and divided into five groups (n = 10): normal, AA, CK 80 mg/kg, combination therapy (80 mg/kg CK combined with 0.5 mg/kg MTX), and MTX 0.5 mg/kg. From day 12, CK (once a day for 15 days) or MTX (once every 3 days, five times) were intragastrically administered.

RESULTS

Combination therapy showed increased haemoglobin to 148.5 ± 10.1 g/L compared with AA (129.8 ± 11.7 g/L) and MTX (128.8 ± 18.4 g/L), and decreased reticulocytes in peripheral blood to 4.9 ± 1.1% compared with MTX (9.3 ± 3.3%). In combination therapy group, paw swelling decreased to 5.6 ± 4.3 mL compared with CK (9.4 ± 3.9 mL) and MTX (13.5 ± 7.4 mL), and swollen joint count decreased to 1.4 ± 0.8 compared with CK (2.1 ± 1.0) and MTX (2.4 ± 1.2) at day 24. Combination therapy showed decreased IL-6 to 25.1 ± 17.2 pg/mL compared with MTX (44.9 ± 4.8 pg/mL), and decreased IL-17 to 5.8 ± 3.9 pg/mL compared with MTX (10.7 ± 4.2 pg/mL).

CONCLUSION

The anti-anaemia effect of CK deserves further study, and CK can be a candidate effective drug for combined treatment in RA with anaemia.

Drug retention of secondary biologics or JAK inhibitors after tocilizumab or abatacept failure as first biologics in patients with rheumatoid arthritis -the ANSWER cohort study

OBJECTIVES

The aim of this multicenter, retrospective study was to clarify the retention of secondary biological disease-modifying antirheumatic drugs (bDMARDs) or Janus kinase inhibitors (JAKi) in patients with rheumatoid arthritis (RA) who were primarily treated by tocilizumab (TCZ) or abatacept (ABT) as first bDMARDs.

METHOD

Patients who were treated by either TCZ (n = 145) or ABT (n = 76) and then switched to either tumor necrosis factor inhibitors (TNFi), TCZ, ABT, or JAKi (including only cases switched from TCZ) from 2001 to 2019 (female 81.0%, age 59.5 years, disease duration 8.8 years; rheumatoid factor positivity 75.4%; Disease Activity Score in 28 joints using C-reactive protein 3.7; concomitant prednisolone (PSL) dose 6.0 mg/day (51.8%) and methotrexate (MTX) dose 8.0 mg/week (56.1%); 81.9% discontinued first bDMARDs due to lack of effectiveness) were included. Drug retention and discontinuation reasons were estimated at 24 months using the Kaplan-Meier method and adjusted for potential confounders by Cox proportional hazards modeling.

RESULTS

Drug retentions for each of the reasons for discontinuation were as follows: lack of effectiveness in TCZ-switched group (TNFi (59.5%), ABT (82.2%), and JAKi (84.3%); TNFi vs. ABT; P = 0.009) and ABT-switched group (TNFi (79.6%) and TCZ (92.6%); P = 0.053). Overall retention excluding non-toxic reasons and remission for discontinuation were TNFi (49.9%), ABT (72.7%), and JAKi (72.6%) (TNFi vs. ABT; P = 0.017) in the TCZ-switched group and TNFi (69.6%) and TCZ (72.4%) (P = 0.44) in the ABT-switched group.

CONCLUSIONS

Switching to ABT in TCZ-treated patients led to higher retention as compared with TNFi. Switching to TCZ in ABT-treated patients tended to lead to higher retention due to effectiveness, although total retention was similar as compared with TNFi. Key Point • This is the first retrospective, multi-center study aimed to clarify the retention rates of secondary bDMARDs or JAKi in patients with RA who were primarily being treated by TCZ or ABT as the first bDMARDs.

A review of the use of time-varying covariates in the Fine-Gray subdistribution hazard competing risk regression model

In survival analysis, time‐varying covariates are covariates whose value can change during follow‐up. Outcomes in medical research are frequently subject to competing risks (events precluding the occurrence of the primary outcome). We review the types of time‐varying covariates and highlight the effect of their inclusion in the subdistribution hazard model. External time‐dependent covariates are external to the subject, can effect the failure process, but are not otherwise involved in the failure mechanism. Internal time‐varying covariates are measured on the subject, can effect the failure process directly, and may also be impacted by the failure mechanism. In the absence of competing risks, a consequence of including internal time‐dependent covariates in the Cox model is that one cannot estimate the survival function or the effect of covariates on the survival function. In the presence of competing risks, the inclusion of internal time‐varying covariates in a subdistribution hazard model results in the loss of the ability to estimate the cumulative incidence function (CIF) or the effect of covariates on the CIF. Furthermore, the definition of the risk set for the subdistribution hazard function can make defining internal time‐varying covariates difficult or impossible. We conducted a review of the use of time‐varying covariates in subdistribution hazard models in articles published in the medical literature in 2015 and in the first 5 months of 2019. Seven percent of articles published included a time‐varying covariate. Several inappropriately described a time‐varying covariate as having an association with the risk of the outcome.