Treatment Persistence and Clinical Outcomes of Tumor Necrosis Factor Inhibitor Cycling or Switching to a New Mechanism of Action Therapy: Real-world Observational Study of Rheumatoid Arthritis Patients in the United States with Prior Tumor Necrosis Factor Inhibitor Therapy

Effectiveness of tofacitinib versus tumor necrosis factor inhibitors and in those receiving tofacitinib as different lines of therapy in patients with rheumatoid arthritis: results from the United States CorEvitas Rheumatoid Arthritis Registry

OBJECTIVES

To compare effectiveness of tofacitinib versus tumor necrosis factor inhibitors (TNFi), and across tofacitinib lines of therapy, in patients with rheumatoid arthritis (RA), using US CorEvitas RA Registry data.

METHODS

Analysis included patients with RA initiating tofacitinib or TNFi with a 12-month follow-up visit between November 2012-February 2021. Primary (Clinical Disease Activity Index-defined low disease activity [CDAI-LDA: CDAI ≤ 10]) and secondary (clinical/disease activity/patient-reported) effectiveness outcomes were assessed at month 12. Outcomes were stratified by treatment regimen (overall tofacitinib vs overall TNFi/tofacitinib monotherapy vs tofacitinib combination therapy/TNFi monotherapy vs TNFi combination therapy/tofacitinib monotherapy vs TNFi combination therapy/tofacitinib combination therapy vs TNFi combination therapy), or tofacitinib line of therapy (2nd/3rd/ ≥ 4th line).

RESULTS

3,481 eligible patients initiated tofacitinib (n = 805) or TNFi (n = 2,676). Improvements in effectiveness at month 12 were generally similar across treatment regimens; 25.1% and 30.1% of overall tofacitinib and TNFi initiators achieved CDAI-LDA, respectively (odds ratio 1.29 [95% confidence interval (CI) 0.94, 1.76]). Odds ratios (95% CIs) for achieving CDAI-LDA at 12 months were 0.70 (0.36, 1.37) for 3rd- versus 2nd-line, and 1.09 (0.63, 1.88) for 3rd- versus ≥ 4th-line tofacitinib initiators. At month 12, mean change from baseline in CDAI was greater among 3rd- versus ≥ 4th-line tofacitinib initiators, and mean Health Assessment Questionnaire and patient-reported pain were greater in 3rd- versus 2nd-line and ≥ 4th- versus 3rd-line tofacitinib initiators.

CONCLUSIONS

Generally, there were no differences in effectiveness between tofacitinib versus TNFi regimens. Few differences were observed between tofacitinib lines of therapy; sample sizes were small for 2nd/3rd-line initiators.

STUDY REGISTRATION

NCT01402661 (ClinicalTrials.gov; July 25, 2011). Key Points • Using data from the US CorEvitas rheumatoid arthritis (RA) Registry, this study compared the effectiveness of tofacitinib versus tumor necrosis factor inhibitors (TNFi) and across tofacitinib lines of therapy. • Effectiveness of tofacitinib was similar to TNFi regimens up to month 12, while differences in some effectiveness outcomes at month 12 were observed with tofacitinib across different lines of therapy. • The findings of this study may inform future treatment decision-making in patients with RA.

Update of the Consensus Statement of the Spanish Society of Rheumatology on the use of biological and synthetic targeted therapies in rheumatoid arthritis

OBJECTIVE

To update the consensus document of the Spanish Society of Rheumatology (SER) regarding the use of targeted biological and synthetic therapies in rheumatoid arthritis (RA) with the aim of assisting clinicians in their therapeutic decisions.

METHODS

A panel of 13 experts was assembled through an open call by SER. We employed a mixed adaptation-elaboration-update methodology starting from the 2015 Consensus Document of the Spanish Society of Rheumatology on the use of biological therapies in RA. Starting with systematic reviews (SR) of recommendations from EULAR 2019, American College of Rheumatology 2021, and GUIPCAR 2017, we updated the search strategies for the PICO questions of GUIPCAR. An additional SR was conducted on demyelinating disease in relation to targeted biological and synthetic therapies. Following the analysis of evidence by different panelists, consensus on the wording and level of agreement for each recommendation was reached in a face-to-face meeting.

RESULTS

The panel established 5 general principles and 15 recommendations on the management of RA. These encompassed crucial aspects such as the importance of early treatment, therapeutic goals in RA, monitoring frequency, the use of glucocorticoids, the application of conventional synthetic disease-modifying antirheumatic drugs (csDMARDs), biological DMARDs (bDMARDs), and targeted synthetic DMARDs. Additionally, recommendations on dose reduction of these drugs in stable patients were included. This update also features recommendations on the use of bDMARDs and Janus Kinase inhibitors in some specific clinical situations, such as patients with lung disease, a history of cancer, heart failure, or demyelinating disease.

CONCLUSIONS

This update provides recommendations on key aspects in the management of RA using targeted biological and synthetic therapies.

Predictors of Drug Retention and Survival Rate of bDMARDs in Rheumatoid Arthritis: A Four-Year Real-Life Tunisian Experience

Introduction

This study aims to investigate the efficacy and tolerance of biologic disease-modifying anti-rheumatic drug (bDMARDs) in the current management of rheumatoid arthritis (RA) by identifying the retention time and survival rate of bDMARDs.

Materials and Methods

We conducted a retrospective cohort study including Tunisian patients initiating bDMARD treatment between 2016 and 2018 whose data were collected from the National Health Insurance Fund (NHIF). The NHIF is the national office which organises and centralises patients under bDMARDs from all over the country. Retention and survival rate of bDMARDs at 48 months were analysed using Kaplan-Meier survival curves and compared using the log-rank test. Survival factor analysis was performed using Cox regression.

Results

Three hundred seventy-four patients, aged 55.5±12.5years [20-90], (87.2%women), were included. The mean duration of RA was 11.7±6.7 years [2-41]. The mean disease activity score (DAS)28 at initiation of the first bDMARD was 6.01±0.89 [5.37-6.5]. This first bDMARD induced low disease activity (LDA) in 55% of cases. Remission was observed in 28% of patients. The highest LDA and remission rates were observed with Tocilizumab (70.8% and 33.3% of cases, respectively). LDA and remission were achieved within a mean of 45 weeks [26-88] and 72 weeks [31-117] respectively. The 48-month first-line survival rate was 55.9%. Retention time was 41.7 months, 95%CI [39.47-43.91]. Presence of rheumatoid factors, co-prescription of methotrexate, and good initial therapeutic response were factors influencing better survival of bDMARDs (p<0.01). Glucocorticoid use predicted poorer survival (p<10-3). The first bDMARD was interrupted in 39% of cases. Ineffectiveness was the most common cause of treatment cessation (52.7%).

Conclusion

This real-life study of the Tunisian population allowed us to establish the factors that can influence the survival and retention rates of bDMARDs.

Patterns in the Sequential Treatment of Patients With Rheumatoid Arthritis Starting a Biologic or Targeted Synthetic Disease-Modifying Antirheumatic Drug: 10-Year Experience From a US-Based Registry

OBJECTIVE

Developing and evaluating new treatment guidelines for rheumatoid arthritis (RA) based on observational data requires a quantitative understanding of patterns in current treatment practice with biologic and targeted synthetic disease-modifying antirheumatic drugs (b/tsDMARDs).

METHODS

We used data from the CorEvitas RA registry to study patients starting their first b/tsDMARD therapy, defined as the first line of therapy, between 2012 and the end of 2021. We identified treatment patterns as unique sequences of therapy changes following and including the first-line therapy. Therapy cycling was defined as switching back to a treatment from a previously used therapeutic class.

RESULTS

A total of 6015 b/tsDMARD-naïve patients (77% female) were included in the analysis. Their median age was 58 years, and their median disease duration was 3 years. In 2012-2014, 80% of the patients started a tumor necrosis factor inhibitor (TNFi) as their first b/tsDMARD. However, the use of TNFi decreased in favor of Janus kinase inhibitors since 2015. Although the number of treatment patterns was large, therapy cycling was relatively common. For example, 601 patterns were observed among 1133 patients who changed therapy at least four times, of whom 85.3% experienced therapy cycling. Furthermore, the duration of each of the first three lines of therapy decreased over the past decade. For example, the median duration of the first-line therapy was 153 days in 2018-2021 compared to 208 days in 2015-2017 (P < 0.001).

CONCLUSION

First-line therapy was almost always TNFi, but diversity in treatment choice was high after that. This practice variation allows for proposing and evaluating new guidelines for sequential treatment of RA. It also presents statistical challenges to compare patients with different treatment sequences.

Management of patients with inflammatory rheumatic diseases after treatment failure with a first tumour necrosis factor inhibitor: A narrative review

The emergence of biologics with different modes of action (MoAs) and therapeutic targets has changed treatment patterns in patients with inflammatory rheumatic diseases. While tumour necrosis factor inhibitors (TNFis) are often utilized as the first biologic disease-modifying antirheumatic drug, some patients may not respond adequately (primary failure), fail to sustain response over time (secondary failure), or experience intolerable adverse events. Whether these patients would benefit more from cycling to a different TNFi or switching to a biologic with a different MoA is still unclear. We discuss here treatment outcomes of TNFi cycling versus MoA switching after treatment failure with a first TNFi in patients with inflammatory rheumatic diseases, focusing specifically on rheumatoid arthritis, psoriatic arthritis, axial spondyloarthritis, and juvenile idiopathic arthritis. Treatment guidelines for these patients are ambiguous and, at times, contradictory in their recommendations. However, this is due to a lack of high-quality head-to-head data to definitively support cycling between TNFis after failure to a first-line TNFi over switching to a different MoA.

One-Year Medication Adherence and Persistence in Rheumatoid Arthritis in Clinical Practice: A Retrospective Analysis of Upadacitinib, Adalimumab, Baricitinib, and Tofacitinib

INTRODUCTION

This study evaluated 12 months adherence and persistence among Janus kinase inhibitors (upadacitinib, baricitinib, tofacitinib) and adalimumab, a tumor necrosis factor inhibitor (TNFi), in patients with rheumatoid arthritis (RA).

METHODS

This retrospective analysis used administrative claims data from the Merative™ MarketScan® Research Databases (2018-2022). Eligible adults had ≥ 1 RA diagnosis before the index date, ≥ 1 pharmacy claim for index medication, and ≥ 12 months of continuous insurance enrollment pre- and post-index. Adherence to treatment [defined as proportion of days covered (PDC) ≥ 80%], risk of treatment discontinuation, and mean time to discontinuation were assessed during the 12 months follow-up. Adjusted odds ratios (aOR), adjusted hazard ratios (aHR), and 95% confidence intervals (CI) were reported.

RESULTS

In total, 6317 patients were included (683 upadacitinib, 3732 adalimumab, 132 baricitinib, 1770 tofacitinib). Compared with upadacitinib, patients initiating adalimumab [aOR (95% CI): 0.82 (0.69, 0.96)], baricitinib [0.46 (0.31, 0.68)], and tofacitinib [0.74 (0.62, 0.88)] were significantly less likely to achieve PDC ≥ 80%. Risk of treatment discontinuation was significantly higher in patients treated with adalimumab [aHR (95% CI): 1.14 (1.01, 1.29)], baricitinib [1.48 (1.16, 1.90)], and tofacitinib [1.22 (1.07, 1.38)] compared with upadacitinib. Mean time to discontinuation was 256 (upadacitinib), 249 (adalimumab), 221 (baricitinib), and 239 (tofacitinib) days. Similar results were observed in patients with prior TNFi use.

CONCLUSIONS

Patients with RA, regardless of recent TNFi experience, initiating upadacitinib were significantly more likely to be adherent and less likely to discontinue therapy compared to adalimumab, baricitinib, and tofacitinib in the first 12 months of treatment.

Comparative effectiveness of treatments for rheumatoid arthritis in clinical practice: A systematic review

OBJECTIVE

To assess real-world comparative effectiveness studies of biologic (b) and targeted synthetic (ts) disease-modifying antirheumatic drugs (DMARDs) in adults with rheumatoid arthritis (RA) through a systematic review.

METHODS

We searched Medline for journal articles (2001-2021) and Embase® for abstracts presented at the European Alliance of Associations for Rheumatology and American College of Rheumatology (ACR) 2020 and 2021 annual meetings on non-randomized studies comparing the effectiveness of b/tsDMARDs using ACR-recommended disease activity measures, measures of functional status, and patient-reported outcomes (HAQ, PROMIS PF, patient pain, Patient and Physician Global Assessment of disease activity). Methodological heterogeneity between studies precluded meta-analyses. Risk of bias was assessed using the Cochrane Risk Of Bias In Non-randomized Studies of Interventions-I tool.

RESULTS

Of 1283 records screened, 68 were selected for data extraction, of which 1 was excluded due to critical risk of bias. Most studies were multicenter observational cohort/registry studies (n = 60) and were published between 2011 and 2021 (n = 60). Mean or median reported RA duration was between 6 and 15 years. Disease Activity Score in 28 joints (46 studies), Clinical Disease Activity Index (37 studies), and Health Assessment Questionnaire-Disability Index (32 studies) were the most common outcomes used in clinical practice, with regional differences identified. The most common comparison was between tumor necrosis factor inhibitors (TNFis) and non-TNFi bDMARDs (35 studies). There were no evident differences between b/tsDMARDs in clinical effectiveness.

CONCLUSION

This systematic review summarizing real-world evidence from a very large number of global studies found there are many effective options for the treatment of RA, but relatively less evidence to support the use of any one b/tsDMARD or drug class over another. Treatment for patients with RA should be tailored to suit individual clinical profiles. Further research is needed to identify whether specific patient subgroups may benefit from specific drug classes.

Comparative effectiveness of TNF inhibitor vs IL-6 receptor inhibitor as monotherapy or combination therapy with methotrexate in biologic-experienced patients with rheumatoid arthritis: An analysis from the CorEvitas RA Registry

OBJECTIVE

Randomized controlled trials (RCTs) in biologic-naïve rheumatoid arthritis (RA) patients with high disease activity and inadequate response/intolerance to methotrexate have shown interleukin-6 (IL-6) receptor inhibitors (IL-6Ri) to be superior to tumor necrosis factor inhibitors (TNFi) as monotherapy. This observational study aimed to compare the effectiveness of TNFi vs IL-6Ri as mono- or combination therapy in biologic/targeted synthetic (b/ts) -experienced RA patients with moderate/high disease activity.

METHODS

Eligible b/ts-experienced patients from the CorEvitas RA registry were categorized as TNFi and IL-6Ri initiators, with subgroups initiating as mono- or combination therapy. Mixed-effects regression models evaluated the impact of treatment on Clinical Disease Activity Index (CDAI), patient-reported outcomes, and disproportionate pain (DP). Unadjusted and covariate-adjusted effects were reported.

RESULTS

Patients initiating IL-6Ri (n = 286) vs TNFi monotherapy (n = 737) were older, had a longer RA history and higher baseline CDAI, and were more likely to initiate as third-line therapy; IL-6Ri (n = 401) vs TNFi (n = 1315) combination therapy initiators had higher baseline CDAI and were more likely to initiate as third-line therapy. No significant differences were noted in the outcomes between TNFi and IL-6Ri initiators (as mono- or combination therapy).

CONCLUSION

This observational study showed no significant differences in outcomes among b/ts-experienced TNFi vs IL-6Ri initiators, as either mono- or combination therapy. These findings were in contrast with the previous RCTs in biologic-naïve patients and could be explained by the differences in the patient characteristics included in this study. Further studies are needed to help understand the reasons for this discrepancy in the real-world b/ts-experienced population.

Continuity of Care Within a Single Patient Support Program for Patients with Rheumatoid Arthritis Prescribed Second or Later Line Advanced Therapy

INTRODUCTION

Guidelines suggest patients with rheumatoid arthritis (RA) inadequately controlled by tumor-necrosis-factor-inhibitors (TNFis) may benefit from switching to Janus-kinase-inhibitors (JAKis); however, care coordination and access can be complicated. Disruptions in transitioning to JAKi treatment could lead to disease flares requiring hospitalization; however, transitioning between products within the same patient support program (PSP) services aimed at ensuring continuity of care may minimize disruptions.

METHODS

A retrospective, longitudinal cohort study of adult patients with RA newly prescribed JAKi following TNFi treatment in the Symphony Health claims database. Patients with baseline TNFi use and ≥ 6 months of data before (baseline) and after (follow-up) the initial JAKi claim (approved or denied) were included. Cohorts were defined by transitions between products within the same PSP [adalimumab (ADA) and upadacitinib (UPA)] or not. Disruptions were defined as gap in care ≥ 15 days due to failure/delay in receiving coverage approval or picking up an approved prescription. Disruptions followed by JAKi dispense were considered temporary and those without permanent. Odds ratios (ORs) of disruption and hospitalization were estimated from logistic regressions controlling for patient characteristics and treatment history.

RESULTS

A total of 2371 patients were included: 317 transitioning from ADA-UPA, 321 TNFi-UPA, 860 ADA-another JAKi, and 873 another TNFi-another JAKi. Temporary and permanent disruptions increased odds of hospitalization by 47% and 123% (both p < 0.05). Temporary disruption rates were lowest for ADA-UPA patients (19%) compared to other TNFi-UPA (25%; OR = 1.46), ADA-other JAKi (29%; OR = 1.59), and other TNFi-other JAKi (31%; OR = 1.74), all p < 0.05. For transitions to UPA, temporary disruptions were lower for patients using the PSP (17%) versus not (24%; OR = 1.45, p < 0.05). No differences were found for permanent disruptions.

CONCLUSION

Disruptions for patients with RA transitioning from TNFi to JAKi treatment are associated with increased hospitalization rates. Transitioning between drugs within the same PSP could lower the risk of disruption.

Predictors of Treatment Change Among Patients with Rheumatoid Arthritis Treated with TNF Inhibitors as First-Line Biologic Agent in the USA: A Cohort Study from Longitudinal Electronic Health Records

BACKGROUND

Previous observational studies utilizing administrative claims data have largely been unable to consider clinical factors that may be related to patterns of drug use among patients with rheumatoid arthritis (RA).

OBJECTIVE

To understand predictors of treatment changes following initiation of a tumor necrosis factor inhibitor (TNFi) using nation-wide electronic health record (EHR) data in the USA.

METHODS

The Optum Immunology Condition EHR data (01/01/2011-09/30/2019) was used to identify a population of adult patients with RA initiating a TNFi as the first line biologic disease-modifying anti-rheumatic drug (DMARD). The primary outcome was any treatment change during the 1-year post-index period defined as cycling to a different TNFi or switching to non-TNFi biologic or targeted synthetic DMARDs. Secondary outcomes were the individual components of TNFi cycling and switching, examined separately. To identify predictors of DMARD treatment changes, we used a least absolute shrinkage and selection operator (LASSO) regression model. Model c-statistics and odds ratios (ORs, 95% confidence intervals (CIs)) of predictors were reported.

RESULTS

We identified 24,871 patients with RA who initiated a TNFi. The mean age was 55.5 (± 13.7) years and 77.2% were female. Among the TNFi initiators, 22.2% experienced TNFi cycling or switching during the 1-year follow-up time. Predictors that are associated with higher likelihood of TNFi cycling or switching included female gender (OR: 1.26, 95% CI: 1.16-1.36) and glucocorticoid use (OR: 1.30, 95% CI: 1.21-1.40). In contrast, inflammatory bowel disease (OR: 0.62, 95% CI: 0.48-0.78), psoriasis (OR: 0.82, 95% CI: 0.70-0.95), recent use of methotrexate (OR: 0.89, 95% CI: 0.81-0.97), and vitamin D intake (OR: 0.92, 95% CI: 0.85-0.99) were negatively associated with TNFi cycling or switch.

CONCLUSIONS

Gender, glucocorticoid use, inflammatory bowel disease, psoriasis, and vitamin D intake were identified as significant predictors of TNFi cycling or switching for TNFi initiators in the RA population. Predicting treatment change remains challenging even with large detailed EHR data. This study aimed to identify key determinants of treatment changes among patients with rheumatoid arthritis (RA) initiating a tumor necrosis factor inhibitor (TNFi) as their first-line biologic disease-modifying antirheumatic drug (DMARD) in routine care settings using a US nation-wide longitudinal electronic health record (EHR). Among 24,871 patients with RA who initiated a TNFi, 22.2% experienced TNFi cycling or switching during the 1-year follow-up time. Female patients and those who used glucocorticoids were more likely to experience TNFi cycling or switching, whereas inflammatory bowel disease, psoriasis, recent methotrexate use, and vitamin D intake were negatively associated with the outcome. However, predicting treatment change remains challenging even with larger detailed EHR data potentially due to unmeasured factors such as prescriber's preference or patient's belief in the medication.

Comparison of the efficacy and risk of discontinuation between non-TNF-targeted treatment and a second TNF inhibitor in patients with rheumatoid arthritis after first TNF inhibitor failure

Objectives:

Despite improved care for rheumatoid arthritis (RA) patients, many still experience treatment failure with biologic disease-modifying antirheumatic drugs (bDMARDs) or targeted synthetic DMARDs [tsDMARDs; typically Janus kinase inhibitors (JAKi)], and eventually switch to other agents. We compared the efficacy of a second tumor necrosis factor inhibitor (TNFi) and non-TNF-targeted treatment as the second-line treatment in patients showing an insufficient response to the first TNFi.

Methods:

Patients were included if they had received at least one prescription for a TNFi, and at least one follow-up prescription for a second TNFi or non-TNF-targeted treatment after discontinuation of the first drug. In total, 209 patients were analyzed, including 69 with a second TNFi and 140 with a non-TNF-targeted treatment (106 non-TNFi biologics and 34 JAKi). Cox regression was used to estimate the hazard ratio (HR) for discontinuation.

Results:

The mean follow-up period after switching was 28.0 (range: 0–80) months and 24.4% of the 209 patients switched or discontinued the second drug. In multivariate Cox proportional hazard analysis, the non-TNF-targeted treatment group had a lower likelihood of discontinuing their treatment than the second TNFi group [HR = 0.326, 95% confidence interval (CI): 0.170–0.626, p = 0.001]. When analyzed separately, the risk of discontinuation was significantly lower in both the non-TNFi biologic (HR = 0.318, 95% CI: 0.160–0.633, p = 0.001) and JAKi (HR = 0.356, 95% CI: 0.129–0.980, p = 0.046) groups than in the second TNFi group.

Conclusion:

Our study supported switching to a non-TNF-targeted treatment instead of TNF cycling in patients with RA showing an inadequate response to initial TNFi.

Pharmacogenomics of Anti-TNF Treatment Response Marks a New Era of Tailored Rheumatoid Arthritis Therapy

Rheumatoid arthritis (RA) is the most commonly occurring chronic inflammatory arthritis, the exact mechanism of which is not fully understood. Tumor Necrosis Factor (TNF)-targeting drugs has been shown to exert high effectiveness for RA, which indicates the key importance of this cytokine in this disease. Nevertheless, the response to TNF inhibitors varies, and approximately one third of RA patients are non-responders, which is explained by the influence of genetic factors. Knowledge in the field of pharmacogenomics of anti-TNF drugs is growing, but has not been applied in the clinical practice so far. Different genome-wide association studies identified a few single nucleotide polymorphisms associated with anti-TNF treatment response, which largely map genes involved in T cell function. Studies of the gene expression profile of RA patients have also indicated specific gene signatures that may be useful to develop novel prognostic tools. In this article, we discuss the significance of TNF in RA and present the current knowledge in pharmacogenomics related to anti-TNF treatment response.

Persistence of bDMARD therapy in Rheumatoid Arthritis after first-line TNF-inhibitor failure: the RECORD study of the Italian Society for Rheumatology

OBJECTIVE

The optimal choice of a second biological disease-modifying anti-rheumatic drug (bDMARD) after failure with first line tumour necrosis factor inhibitor (TNFi) represents a critical therapeutic challenge. This study aims to evaluate the persistence with treatment using second line bDMARDs with different mechanisms of action in rheumatoid arthritis (RA) patients with inadequate response to first line TNFi.

METHOD

A retrospective cohort study on administrative healthcare databases was conducted. We analysed the relationship between different bDMARDs and persistence with treatment in RA patients who started second line bDMARD therapy according to two different strategies: cycling (second TNFi) or switching [change in mechanism of action: abatacept (ABA), tocilizumab (TCZ), and rituximab (RTX)] with or without concomitant conventional synthetic (cs) DMARDs.

RESULTS

The cohort comprised 1434 patients. The mean age was 53.8 years and 1142 (79.6%) were women. Among second line bDMARDs, 969 patients (67.6%) started TNFi, 204 (14.2%) ABA, 145 (10.1%) RTX, and 116 (8.1%) TCZ. A bDMARD was prescribed as monotherapy in 359 patients (25.0%). The switching strategy showed a lower overall discontinuation rate [hazard ratio (HR) 0.72], while switching compared to cycling showed significantly better survival for ABA (HR 0.61) and RTX (HR 0.76), but no significant difference for TCZ (HR 0.82). A lower impact of better drug survival in the switching strategy occurred in patients with concurrent methotrexate.

CONCLUSIONS

Among RA patients failing a first TNFi, switching is associated with marginally better persistence, in particular for ABA and RTX, with only marginal differences in patients on concurrent csDMARDs.

OUP accepted manuscript

Objective

The aim of this study was to describe treatment patterns in RA, including the frequency and reasons for switching or stopping biologic and targeted synthetic DMARDs (b/tsDMARDs).

Methods

The reasons for switching or stopping b/tsDMARDs were extracted from the Australian Rheumatology Association Database (ARAD) from 2003 to 2018 for RA participants. Switching patterns for each b/tsDMARD and time on first-, second- and third-line b/tsDMARDs were evaluated using Sankey diagrams and survival methods.

Results

A total of 2839 participants were included in the analysis. The first-line b/tsDMARDs were etanercept (n = 1414), adalimumab (n = 1024), infliximab (n = 155), golimumab (n = 98), abatacept (n = 66), certolizumab (n = 38), tocilizumab (n = 21) and tofacitinib (n = 23). Of those starting first-, second- and third-line biologic therapy, 24.0%, 31.8% and 24.4% switched to another b/tsDMARD within 12 months, respectively. Inefficacy or adverse effects were the most common reasons for stopping therapy, irrespective of line of treatment. Compared with first-line etanercept, participants were more likely to stop adalimumab [Hazard ratio (HR) 1.16, 95% CI: 1.04, 1.29] and infliximab (HR 1.77, 95% CI: 1.46, 2.16). No differences were seen for other b/tsDMARDs. For second-line therapies compared with etanercept, the risk of stopping was lower for tocilizumab (HR 0.41, 95% CI: 0.25, 0.70), rituximab (HR 0.51, 95% CI: 0.30, 0.85) and tofacitinib (HR 0.29, 95% CI: 0.15, 0.57). Participants taking rituximab, tocilizumab and tofacitinib were also less likely to stop third-line therapy in comparison with participants taking etanercept.

Conclusions

Switching between b/tsDMARDs was common among ARAD participants with RA, most commonly due to inefficacy or adverse effects. Durability of exposure and reasons for switching varied between b/tsDMARDs.

EULAR points to consider for the management of difficult-to-treat rheumatoid arthritis

OBJECTIVE

To develop evidence-based European Alliance of Associations for Rheumatology (EULAR) points to consider (PtCs) for the management of difficult-to-treat rheumatoid arthritis (D2T RA).

METHODS

An EULAR Task Force was established comprising 34 individuals: 26 rheumatologists, patient partners and rheumatology experienced health professionals. Two systematic literature reviews addressed clinical questions around diagnostic challenges, and pharmacological and non-pharmacological therapeutic strategies in D2T RA. PtCs were formulated based on the identified evidence and expert opinion. Strength of recommendations (SoR, scale A-D: A typically consistent level 1 studies and D level 5 evidence or inconsistent studies) and level of agreement (LoA, scale 0-10: 0 completely disagree and 10 completely agree) of the PtCs were determined by the Task Force members.

RESULTS

Two overarching principles and 11 PtCs were defined concerning diagnostic confirmation of RA, evaluation of inflammatory disease activity, pharmacological and non-pharmacological interventions, treatment adherence, functional disability, pain, fatigue, goal setting and self-efficacy and the impact of comorbidities. The SoR varied from level C to level D. The mean LoA with the overarching principles and PtCs was generally high (8.4-9.6).

CONCLUSIONS

These PtCs for D2T RA can serve as a clinical roadmap to support healthcare professionals and patients to deliver holistic management and more personalised pharmacological and non-pharmacological therapeutic strategies. High-quality evidence was scarce. A research agenda was created to guide future research.

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.

Which Biologic Therapies to Treat Active Rheumatoid Arthritis and When?

Biological disease-modifying anti-arthritis drugs (bDMARD) have transformed rheumatoid arthritis (RA) treatment and allowed many patients to reach clinical remission. With the huge growth in the development of different bDMARDs, there is now a need to decide on which treatment should be prescribed to achieve optimal patient outcomes. Decisions are made by weighing up the comparative efficacy of each agent against risks, namely the risk of bacterial infections. The most powerful tools for investigating the comparative efficacy of bDMARDs are head-to-head trials that directly compare one therapy to another; however, very few trials of this type exist. Furthermore, the heterogeneity of RA calls for consideration of the comparative efficacy of therapies on an individual basis. Many studies have found associations between specific biomarkers and response to different bDMARDs to enable stratification of patient groups, although many results have not been reproducible in different cohorts. Combining predictors to create models of treatment response may be the ultimate key to finding reliable biomarkers with enough predictive power to enable a personalised medicine approach to treating RA in the clinic.

Treatment patterns in rheumatoid arthritis patients newly initiated on biologic and conventional synthetic disease-modifying antirheumatic drug therapy and enrolled in a North American clinical registry

Background

Understanding the evolving treatment patterns in patients with rheumatoid arthritis (RA) is important for rheumatologists to make the best practice decisions and optimize treatment. Here, we describe treatment patterns among patients newly initiated on biologic and/or nonbiologic RA therapy over time after enrollment in the US Corrona RA registry.

Methods

This was a retrospective, cohort study of adult patients with RA enrolled in the Corrona RA registry. Patients were included in this study if they initiated therapy with conventional synthetic disease-modifying antirheumatic drug (csDMARD) monotherapy, TNF inhibitor (TNFi) monotherapy, other (non-TNFi) biologic monotherapy, or combination therapy (index therapy); initiated therapy between January 1, 2004, and December 31, 2015 (index date), after enrollment in the Corrona RA registry; had at least 6 months of follow-up time after the index date; and had at least one follow-up visit. Time periods of interest were based on the year of index therapy initiation: 2004–2007, 2008–2011, and 2012–2015.

Results

This study included 8027 patients. csDMARD monotherapy and TNFi + csDMARD combination therapy were the most common index therapies in the registry (39.9% and 44.9%, respectively, in the 2004–2007 period; 38.6% and 38.2%, respectively, in the 2008–2011 period; and 35.2% for both in the 2012–2015 period). At therapy initiation, a higher proportion of patients who initiated other biologics, whether as monotherapies (54.0%) or in combination with csDMARD (49.9%), had high disease activity than those who initiated csDMARD monotherapy (28.4%). For 2012–2015 vs 2004–2007 and 2008–2011 periods, persistence on a given therapy appeared to decrease for the TNFi monotherapy cohort (48.2% vs 64.3% and 52.4%) and other biologic monotherapy cohort (52.3% vs 71.4% and 54.5%) over 12 months; switching from one therapy to another was common in the Corrona RA registry.

Conclusions

Increased switching from one therapy to another and decreased time on a given therapy was observed in the Corrona RA registry in the 2012–2015 period. This observation is most likely due to the increased availability of additional treatment options and/or the change in clinical focus, particularly the emphasis on achievement of treat-to-target goals of remission or low disease activity along with more aggressive treatment.

Supplementary Information

The online version contains supplementary material available at 10.1186/s13075-021-02599-4.

Biologic and Targeted Synthetic DMARD Utilization in the United States: Adelphi Real World Disease Specific Programme for Rheumatoid Arthritis

Introduction

In patients with inadequate response or intolerance to first biologic disease-modifying antirheumatic drug (bDMARD), guidelines recommend switching to an agent of different mechanism of action or to another bDMARD. However, the reasons behind switching between bDMARD/targeted synthetic (ts)DMARD are not well documented in many studies. The objective of this study was to assess the rheumatologists’ perceptions and behaviors towards choice of initial b/tsDMARD treatment and reasons for switching between bDMARDs/tsDMARDs, in the context of present treatment patterns.

Methods

This was a retrospective analysis of data collected from the 12th Adelphi Real World Disease Specific Programme for rheumatoid arthritis (RA). Qualified rheumatologists involved in treatment decision-making for ≥ 10 patients a month completed patient record forms (PRFs). Patients aged ≥ 18 years with RA diagnosis and receiving bDMARD/tsDMARD were included. The outcomes assessed were proportion of patients receiving bDMARD/tsDMARD at molecule and class levels; rheumatologist-reported reasons for choice of therapy; proportion of patients who switched bDMARDs/tsDMARDs; and rheumatologist-reported reasons for switching therapies.

Results

Eighty-six rheumatologists completed PRFs for 1027 patients. Of these, 621 were receiving bDMARD/tsDMARD at data collection. The majority (73%) of patients received first-line bDMARD/tsDMARD, and at first-line, 68% received a tumor necrosis factor inhibitor (TNFi) and 21% received a Janus kinase inhibitor (JAKi). The response option of strong overall efficacy was the primary reason for selecting first-line and second-line bDMARD/tsDMARD. A total of 163 patients had switched from first-line b/tsDMARD to second-line b/tsDMARD therapy. Of these, 44, 28, and 17% had switched from TNFi to another TNFi, TNFi to non-TNF biologic, and TNFi to JAKi, respectively. Lack of efficacy and worsening disease were the most frequent reasons for switching therapies.

Conclusions

TNFis remain the most prescribed b/tsDMARD for first-line and second-line treatments. Strong overall efficacy was the primary reason for selecting therapy and loss of efficacy was the primary reason for switching therapy.

Supplementary Information

The online version contains supplementary material available at 10.1007/s40744-021-00357-1.

Treatment Sequences After Discontinuing a Tumor Necrosis Factor Inhibitor in Patients With Rheumatoid Arthritis: A Comparison of Cycling Versus Swapping Strategies

OBJECTIVE

To evaluate the sequences of tumor necrosis factor inhibitors (TNFi) and non-TNFi used by rheumatoid arthritis (RA) patients whose initial TNFi therapy has failed, and to evaluate effectiveness and costs.

METHODS

Using the Truven Health MarketScan Research database, we analyzed claims of commercially insured adult patients with RA who switched to their second biologic or targeted disease-modifying antirheumatic drug between January 2008 and December 2015. Our primary outcome was the frequency of treatment sequences. Our secondary outcomes were the time to therapy discontinuation, drug adherence, and drug and other health care costs.

RESULTS

Among 10,442 RA patients identified, 36.5% swapped to a non-TNFi drug, most commonly abatacept (54.2%). The remaining 63.5% cycled to a second TNFi, most commonly adalimumab (41.2%). For subsequent switches of therapy, non-TNFi were more common. Patients who swapped to a non-TNFi were significantly older and had more comorbidities than those who cycled to a TNFi (P < 0.001). Survival analysis showed a longer time to discontinuation for non-TNFi than for TNFi (median 605 days compared with 489 days; P < 0.001) when used after initial TNFi discontinuation, but no difference in subsequent switches of therapy. Although non-TNFi were less expensive for adherent patients, cycling to a TNFi was associated with lower costs overall.

CONCLUSION

Even though patients are more likely to cycle to a second TNFi than swap to a non-TNFi, those who swap to a non-TNFi are more likely to persist with the therapy. However, cycling to a TNFi is the less costly strategy.

Switching from one reference biological to another in stable patients for non-medical reasons: a literature search and brief review

Background: The practice of non-medical switch (NMS) from a reference biological (originator) to a biosimilar is widely accepted in some countries. However, there is little documentation on the impact of NMS from one originator to another originator. Objectives: To assess the consequences for patients of NMS from one biological originator to another, based on existing literature. The focus was on efficacy and cost of treatment with TNF-α-inhibitors in three disease areas. Methods: A literature search was conducted in Ovid (PubMed, EMBASE) and abstracts from meetings in key therapeutic areas, to identify studies reporting efficacy, safety or costs by switching between originator biologics. Results: 167 references were identified and abstracts screened; 36 papers reviewed in full text, and 6 fulfilled the inclusion criteria. Three clinical studies of NMS had very small sample sizes, but suggested that NMS is beneficial. The remaining three studies used administrative data with little clinical information, indicating that NMS was disadvantageous and associated with increased health care utilization and costs. Conclusions: There is very limited documentation on NMS from one originator biological to another, and the literature suffers from methodological limitations. The results are mixed and preclude drawing an overriding conclusion. Future studies, are warranted.

Changes in the use patterns of bDMARDs in patients with rheumatic diseases over the past 13 years

The better understanding of the safety of biologic DMARDs (bDMARDs), as well as the emergence of new bDMARDs against different therapeutic targets and biosimilars have likely influenced the use patterns of these compounds over time. The aim of this study is to assess changes in demographic characteristics, disease activity and treatment patterns in patients with rheumatoid arthritis (RA), psoriatic arthritis (PsA), or ankylosing spondylitis (AS) who started a first- or second-line biologic between 2007 and mid-2020. Patients diagnosed with RA, PsA or AS included in the BIOBADASER registry from January 2007 to July 2020 were included. According to the start date of a first- or second-line biologic therapy, patients were stratified into four time periods: 2007-2009; 2010-2013; 2014-2017; 2018-2020 and analyzed cross-sectionally in each period. Demographic and clinical variables, as well as the type of biologic used, were assessed. Generalized linear models were applied to study the evolution of the variables of interest over time periods, the diagnosis, and the interactions between them. A total of 4543 patients initiated a first biologic during the entire time frame of the study. Over the four time periods, disease evolution at the time of biologic initiation (p < 0.001), disease activity (p < 0.001), retention rate (p < 0.001) and the use of tumor necrosis factor inhibitors as a first-line treatment (p < 0.001) showed a significant tendency to decrease. Conversely, comorbidities, as assessed by the Charlson index (p < 0.001), and the percentage of patients using bDMARDs in monotherapy (p < 0.001), and corticosteroids (p < 0.001) tended to increase over time. Over the entire period of the study's analysis, 3289 patients started a second biologic. The following trends were observed: decreased DAS28 at switching (p < 0.001), lower retention rates (p = 0.004), and incremental changes to the therapeutic target between the first and second biologic (p < 0.001). From 2007 until now rheumatic patients who started a biologic were older, exhibited less clinical activity, presented more comorbidities, and switched to a different biologic more frequently and earlier.

Switching and Discontinuation Pattern of Biologic Disease-Modifying Antirheumatic Drugs and Tofacitinib for Patients With Rheumatoid Arthritis in Taiwan

Rheumatoid arthritis (RA) is a chronic inflammatory systemic disease characterized by persistent joint synovial inflammation and swelling, leading to cartilage damage and bone erosion. This retrospective, longitudinal study is to evaluate the treatment patterns of biologic-naïve RA patients receiving index biologic disease-modifying antirheumatic drug (bDMARD) and tofacitinib by the data of Taiwan National Healthcare Insurance Claims and the Death Registry between 2012 and 2017. Drug survival and treatment patterns were determined by investigating the occurrence of switching and discontinuation from index treatment. At baseline, 70.0% of patients used tumor necrosis factor inhibitors (TNFi) bDMARD with the majority taking etanercept (27.0%) or adalimumab (26.2%). During the follow-up period, 40.0% (n = 3,464) of index users switched (n = 1,479) or discontinued (n = 1,985) the treatment with an average incidence rate of 0.18 per patient-year. Among the six index treatment groups, drug survival was the lowest for adalimumab and highest for tocilizumab. When compared with etanercept, only adalimumab had a higher cumulative probability of switching/discontinuation (adjusted HR = 1.17, 95% CI: 1.08-1.28), whereas golimumab, non-TNFi bDMARDs and tofacitinib were significantly less probable to switch or discontinue. For patients switching the index treatment, tocilizumab (31.2%) and tofacitinib (23.4%) were the main regimens being switched to. In addition, 48.2% of patients who discontinued the index treatment received further retreatment, and 63.8-77.0% of them were retreated with same agent. In conclusion, this population-based study found that TNFi were the preferred agents as the index treatments during 2012-2017. Non-TNFi and tofacitinib were more common second-line agents being switched to. Nearly half of discontinued patients received retreatment, with a majority receiving the same agent.

A Molecular Signature Response Classifier to Predict Inadequate Response to Tumor Necrosis Factor-α Inhibitors: The NETWORK-004 Prospective Observational Study

Introduction

Timely matching of patients to beneficial targeted therapy is an unmet need in rheumatoid arthritis (RA). A molecular signature response classifier (MSRC) that predicts which patients with RA are unlikely to respond to tumor necrosis factor-α inhibitor (TNFi) therapy would have wide clinical utility.

Methods

The protein–protein interaction map specific to the rheumatoid arthritis pathophysiology and gene expression data in blood patient samples was used to discover a molecular signature of non-response to TNFi therapy. Inadequate response predictions were validated in blood samples from the CERTAIN cohort and a multicenter blinded prospective observational clinical study (NETWORK-004) among 391 targeted therapy-naïve and 113 TNFi-exposed patient samples. The primary endpoint evaluated the ability of the MSRC to identify patients who inadequately responded to TNFi therapy at 6 months according to ACR50. Additional endpoints evaluated the prediction of inadequate response at 3 and 6 months by ACR70, DAS28-CRP, and CDAI.

Results

The 23-feature molecular signature considers pathways upstream and downstream of TNFα involvement in RA pathophysiology. Predictive performance was consistent between the CERTAIN cohort and NETWORK-004 study. The NETWORK-004 study met primary and secondary endpoints. A molecular signature of non-response was detected in 45% of targeted therapy-naïve patients. The MSRC had an area under the curve (AUC) of 0.64 and patients were unlikely to adequately respond to TNFi therapy according to ACR50 at 6 months with an odds ratio of 4.1 (95% confidence interval 2.0–8.3, p value 0.0001). Odds ratios (3.4–8.8) were significant (p value < 0.01) for additional endpoints at 3 and 6 months, with AUC values up to 0.74. Among TNFi-exposed patients, the MSRC had an AUC of up to 0.83 and was associated with significant odds ratios of 3.3–26.6 by ACR, DAS28-CRP, and CDAI metrics.

Conclusion

The MSRC stratifies patients according to likelihood of inadequate response to TNFi therapy and provides patient-specific data to guide therapy choice in RA for targeted therapy-naïve and TNFi-exposed patients.

Supplementary Information

The online version contains supplementary material available at 10.1007/s40744-021-00330-y.

A blood-based molecular signature response classifier (MSRC) integrating next-generation RNA sequencing data with clinical features predicts the likelihood that a patient with rheumatoid arthritis will have an inadequate response to TNFi therapy. Treatment selection guided by test results, with likely inadequate responders appropriately redirected to a different therapy, could improve response rates to TNFi therapies, generate healthcare cost savings, and increase rheumatologists’ confidence in prescribing decisions and altered treatment choices. The MSRC described in this study predicts the likelihood of inadequate response to TNFi therapies among targeted therapy-naïve and TNFi-exposed patients in a multicenter, 24-week blinded prospective clinical study: NETWORK-004. Patients with a molecular signature of non-response are less likely to have an adequate response to TNFi therapies than those patients lacking the signature according to ACR50, ACR70, CDAI, and DAS28-CRP with significant odds ratios of 3.4–8.8 for targeted therapy-naïve patients and 3.3–26.6 for TNFi-exposed patients. This MSRC provides a solution to the long-standing need for precision medicine tools to predict drug response in rheumatoid arthritis—a heterogeneous and progressive disease with an abundance of therapeutic options. These data validate the performance of the MSRC in a blinded prospective clinical study of targeted therapy-naïve and TNFi therapy-exposed patients.

Association of first, second, and third-line bDMARDs and tsDMARD with drug survival among seropositive rheumatoid arthritis patients: Cohort study in A real world setting

OBJECTIVES

To determine the association of first, second, and third-line biologic disease-modifying antirheumatic drugs (bDMARDs) and tofacitinib with drug survival among seropositive rheumatoid arthritis (RA) patients.

METHODS

The study population was composed of 8,018 seropositive RA patients who were prescribed bDMARDs or tofacitinib between January 2014 and January 2019 from the Korean Health Insurance Review and Assessment Service database. First, second, and third-line choice of tumor necrosis factor inhibitors (TNFi) including etanercept, infliximab, adalimumab, and golimumab, as well as non-TNFi including tocilizumab, rituximab, tofacitinib, and abatacept were assessed. Multivariate Cox proportional hazards regression was used to determine the adjusted hazard ratios (aHRs) and 95% confidence intervals (CIs) for drug failure according to bDMARD or tofacitinib choice starting from the initial prescription date.

RESULTS

Compared to first etanercept users, patients with first tocilizumab (aHR 0.56, 95% CI 0.46-0.68), tofacitinib (aHR 0.27, 95% CI 0.18-0.42), or abatacept (aHR 0.83, 95% CI 0.69-0.99) had lower risk of drug failure. Second choice of tocilizumab (aHR 0.38, 95% CI 0.25-0.55), tofacitinib (aHR 0.23, 95% CI 0.15-0.37), or abatacept (aHR 0.54, 95% CI 0.35-0.84) was associated with lower drug failure risk compared to second etanercept users. Finally, third choice of tocilizumab (aHR 0.32, 95% CI 0.16-0.62) or tofacitinib (aHR 0.35, 95% CI 0.19-0.63) was associated with lower drug failure risk compared to third TNFi users.

CONCLUSION

First and second-line tocilizumab, tofacitinib, or abatacept may lead to improved drug survival. Third-line use of tocilizumab or tofacitinib may be beneficiary in reducing drug failure risk among seropositive RA patients.

Assessment of patients affected by rheumatoid arthritis eligible for biotechnological agents and evaluation of their healthcare resource utilization and related costs

OBJECTIVE

To provide estimates of patients with rheumatoid arthritis (RA) eligible for biotechnological therapy and to evaluate their healthcare costs.

METHOD

An observational analysis was performed based on data-linkage between administrative databases of selected Italian Regional/Local healthcare departments. Data were then re-proportioned to the Italian population. Patients with RA diagnosis defined by discharge diagnosis and/or exemption code during 01/01/2013- 31/12/2017 were included. The criteria applied to evaluate the elegibility for biotechnological therapy were: 1) methotrexate (MTX)-treatment failure ≥6 months and start of a different conventional-synthetic diseasemodifying antirheumatic drugs (csDMARD); 2) corticosteroid ≥6 months with dosage ≥7.5 mg/die; 3) MTX-contraindication (therapy or hospitalization for renal damage/interstizial lung disease/hepatic failure). Mean annual costs per patient included drugs, hospitalizations, outpatient services.

RESULTS

Data re-proportioned to the Italian population estimated 318,328 RA patients: 43,361 with, 274,967 without biotechnological agents. Among the latter, 26,487(9.6%) patients met ≥1 criteria applied for eligibility: 1,896 had MTX-treatment failure and started another csDMARD; 15,833 received corticosteroid ≥7.5 mg/die; 7,788 had MTX-contraindication. Regarding patients fulfilling two criteria, 107 had MTX-treatment failure followed by another csDMARDs and corticosteroid ≥7.5 mg/die, 53 were treated with another csDMARDs after MTX-treatment failure and also presented MTX-contraindication, 810 had corticosteroid ≥7.5 mg/die and MTX-contraindication. Mean total annual costs for patients estimated eligible for biotechnological therapy was € 3,132, of which € 177 related to drugs indicated for RA and € 2,955 related to other direct costs.

CONCLUSIONS

According to our estimates, around 10% RA patients not currently treated with biotechnological agents are eligible for such therapies, highlighting a trend of under-use in clinical practice for RA management.

Long-term safety and efficacy of sarilumab over 5 years in patients with rheumatoid arthritis refractory to TNF inhibitors

OBJECTIVE

To evaluate long-term safety and efficacy of sarilumab over 5 years in patients with RA refractory to TNF inhibitors (TNFi).

METHODS

Patients in the 24-week randomized controlled trial (RCT) TARGET (NCT01709578) whoreceived double-blind placebo or sarilumab 150 or 200 mg every 2 weeks (q2w), plus conventionalsynthetic DMARDs (csDMARDs), were eligible to receive open-label sarilumab 200 mg q2w pluscsDMARDs in the open-label extension (OLE), EXTEND (NCT01146652). OLE dose reduction to 150 mg q2w was permitted per investigators' judgement or protocol-mandated safety concerns. Safety and efficacy were assessed through treatment-emergent adverse events (AEs), laboratoryabnormalities and clinical disease activity scores. All statistics are descriptive.

RESULTS

Of 546 patients, 454 (83%) were treated with sarilumab in the OLE. Cumulative observation period was 1654.8 patient-years (PY; n = 521); 268 patients (51%) had ≥4 years' exposure. Incidencerates per 100 PY of AEs, AEs leading to discontinuation, infection and serious infection were 160.4, 8.1, 57.8 and 3.9, respectively. Neutropenia was the most common AE (15.3 per 100 PY). Absoluteneutrophil count <1000 cells/mm3 (Grade 3/4 neutropenia) was observed in 74 patients (14.2%) and normalized on treatment in 48. Clinical efficacy was sustained through 5 years' follow-up. Efficacy was similar for patients with 1 and >1 TNFi failure, and between patients who either remained on 200mg or reduced to 150 mg.

CONCLUSION

In patients with RA refractory to TNFi, sarilumab's long-term term safety profile was consistent with previous clinical studies and post-marketing reports. Efficacy was sustained over 5years.

Real-World Treatment Persistence with Biologic Disease-Modifying Antirheumatic Drugs Among German Patients with Psoriatic Arthritis-A Retrospective Database Study

INTRODUCTION

To investigate drug survival for biologic disease-modifying antirheumatic drugs (bDMARDs) in a real-world cohort of German adult biologic-naïve patients with psoriatic arthritis (PsA).

METHODS

Claims data for patients with a diagnosis of PsA, a bDMARD claims record (index date) between 1 January 2014 and 31 December 2017, and no bDMARD prescription for 365 days before the index date were retrospectively analyzed. The primary outcomes were the overall and individual bDMARD persistence rates over 12 months. Nonpersistence was defined as a treatment gap exceeding the days of supply plus 60 days or switching to a bDMARD other than the index therapy. Sensitivity analysis was performed, wherein the treatment gap was found to vary depending on the bDMARD regimen. Kaplan-Meier curves were plotted to determine persistence; the log-rank test was used to evaluate differences in the persistence rate. Factors associated with treatment discontinuation were evaluated using Cox regression analysis.

RESULTS

Among 10,954 patients with a PsA diagnosis, 348 were eligible. The overall bDMARD persistence rate was 57.5%; individual bDMARD persistence rates were 81.3% for ustekinumab, 66.7% for infliximab, and 60.0% for golimumab. The mean (SD) overall persistence with bDMARDs was 289 (103) days; the mean persistence was 334 (72) days for ustekinumab, 309 (82) days for golimumab, and 305 (92) days for infliximab. The main reasons for nonpersistence were switching to another bDMARD (15.8%) and treatment discontinuation (26.7%). Male gender was significantly associated with a lower risk of treatment discontinuation (hazard ratio 0.54, 95% confidence interval 0.39-0.77; P < 0.001). The sensitivity analysis yielded similar results.

CONCLUSION

The one-year persistence rate for bDMARDs in German PsA patients is modest, although the persistence rate depends on the bDMARD considered.

Pharmacological and non-pharmacological therapeutic strategies in difficult-to-treat rheumatoid arthritis: a systematic literature review informing the EULAR recommendations for the management of difficult-to-treat rheumatoid arthritis

OBJECTIVES

To summarise, by a systematic literature review (SLR), the evidence regarding pharmacological and non-pharmacological therapeutic strategies in difficult-to-treat rheumatoid arthritis (D2T RA), informing the EULAR recommendations for the management of D2T RA.

METHODS

PubMed, Embase and Cochrane databases were searched up to December 2019. Relevant papers were selected and appraised.

RESULTS

Two hundred seven (207) papers studied therapeutic strategies. Limited evidence was found on effective and safe disease-modifying antirheumatic drugs (DMARDs) in patients with comorbidities and other contraindications that limit DMARD options (patients with obesity, hepatitis B and C, risk of venous thromboembolisms, pregnancy and lactation). In patients who previously failed biological (b-)DMARDs, all currently used b/targeted synthetic (ts-)DMARDs were found to be more effective than placebo. In patients who previously failed a tumour necrosis factor inhibitor (TNFi), there was a tendency of non-TNFi bDMARDs to be more effective than TNFis. Generally, effectiveness decreased in patients who previously failed a higher number of bDMARDs. Additionally, exercise, psychological, educational and self-management interventions were found to improve non-inflammatory complaints (mainly functional disability, pain, fatigue), education to improve goal setting, and self-management programmes, educational and psychological interventions to improve self-management.The identified evidence had several limitations: (1) no studies were found in patients with D2T RA specifically, (2) heterogeneous outcome criteria were used and (3) most studies had a moderate or high risk of bias.

CONCLUSIONS

This SLR underscores the scarcity of high-quality evidence on the pharmacological and non-pharmacological treatment of patients with D2T RA. Effectiveness of b/tsDMARDs decreased in RA patients who had failed a higher number of bDMARDs and a subsequent b/tsDMARD of a previously not targeted mechanism of action was somewhat more effective. Additionally, a beneficial effect of non-pharmacological interventions was found for improvement of non-inflammatory complaints, goal setting and self-management.

Response to interleukin-6 receptor antagonists in patients with rheumatoid arthritis is independent of the number of prior used TNF inhibitors: A systematic review and metaanalysis

OBJECTIVE

To investigate whether early response to tocilizumab (TCZ) and sarilumab (SAR) therapy in patients with active rheumatoid arthritis (RA) is influenced by previous use of biologic agents.

METHODS

We performed a systematic literature review and a meta-analysis of original studies that analyzed the effectiveness of TCZ or SRL in subgroups of RA patients, including biologic-naïve patients versus those with inadequate response to at least one biologic DMARD (bDMARD), and patients with failure to 1 versus≥2 bDMARDs.

RESULTS

The study selection process finally included 17 articles corresponding to 14 studies, including 7 randomized controlled trials (RCTs). Although the existing literature that compared the response in biologic-naïve patients versus those with inadequate response to at least one bDMARD showed conflicting results, meta-analysis of 6 published studies revealed a significantly higher likelihood of remission (RR=1.3; 95% CI: 1.2-1.5) and low activity disease (RR=1.3; 95% CI: 1.2-1.4) in the biologic-naïve group at week 24. However, differences between groups were not clinically meaningful in all studies and not always maintained after 6 to 12months of treatment. In addition, data from RCT RADIATE and TARGET suggest that the response to IL-6 pathway inhibitors seems to be similar, regardless of the number of tumor necrosis factor inhibitors (TNFis) previously tested.

CONCLUSION

Disease activity was more rapidly reduced in the early stages of treatment in biologic-naïve patients. However, near similar efficacy can be expected in patients who experienced a failure of at least one bDMARD (mainly TNFis) beyond the first 6 to 12months of treatment, suggesting that the response occurs independently of the number of prior TNFis.

Persistence on biologic DMARD monotherapy after achieving rheumatoid arthritis disease control on combination therapy: retrospective analysis of corrona registry data

Biological disease-modifying antirheumatic drugs (bDMARDs) monotherapy may enhance adherence and decrease adverse events compared to combination therapy with conventional synthetic DMARDs (csDMARDs); however, persistence with bDMARD monotherapy has not been extensively studied. We explore persistence of etanercept monotherapy and monotherapy with other tumor necrosis factor inhibitors (TNFis) among patients first achieving remission/low disease activity (LDA) while on combination therapy with csDMARDs and a TNFi. Using Corrona registry data, the percentage of patients persistent with the index TNFi (etanercept versus other TNFis) over 6 and 12 months was determined. Factors influencing persistence and treatment patterns at 6 and 12 months were examined. Among 617 eligible patients, 56% of 182 patients on etanercept and 45% of 435 patients on other TNFis persisted with monotherapy at 6 months, 46% and 33%, respectively, at 12 months. Across first-line and subsequent biologic DMARDs, etanercept persistence was greater than other TNFi persistence by 10.8% (95% CI 2.1%, 19.6%) at 6 months and 11.4% (95% CI 0.9%, 21.9%) at 12 months. Patients on other TNFis were more likely to require reintroduction of csDMARD after 6 months (45% versus 35% for etanercept). Remission was the key predictor of persistence for both etanercept and other TNFi monotherapies. This retrospective, cohort study of registry data reflecting real-world practice indicates patients who achieve remission/LDA with combination csDMARD and TNFi therapy may successfully transition to TNFi monotherapy. Patients on etanercept monotherapy experienced greater persistence and less frequent reintroduction of a csDMARD than was observed for patients on other TNFi monotherapies.

Biologic Disease-Modifying Antirheumatic Drug Prescription Patterns Among Rheumatologists in Europe and Japan

INTRODUCTION

Tumor necrosis factor inhibitors (TNFi) are commonly used as first-line therapy (biologic disease-modifying antirheumatic drug [bDMARD] and targeted synthetic DMARD [tsDMARD]: defined as targeted therapy) for patients with moderate-to-severe rheumatoid arthritis (RA), usually combined with conventional synthetic DMARDs (csDMARDs) but sometimes as monotherapy. If treatment fails, patients cycle to another TNFi (cycling) or switch to a targeted therapy with a different mode of action (MOA; switching). The study aimed to examine prescribing patterns and reasons for current RA treatment practice in Europe (EU5: France, Germany, Italy, Spain, UK) and Japan.

METHODS

Data were collected from the Adelphi Disease Specific Programme™ (DSP; Q1-Q2 2017). Rheumatologists seeing ≥ 10 (EU5) and ≥ 5 (Japan) patients with RA a month completed Patient Record Forms. Patients ≥ 18 years old, with RA diagnosis and complete RA-targeted therapy history were included. Patients were grouped based on first-line targeted therapy class, and on whether first-line targeted therapy was monotherapy (targeted therapy alone) or combination therapy (targeted therapy and csDMARD). Those patients receiving TNFi at first-line and with ≥ 1 targeted therapy were classified as TNFi cyclers or MOA switchers. Univariate analysis compared factors across groups. Patient demographics and characteristics compared across groups; physician reasoning for targeted therapy change; and time to discontinuation of targeted therapy.

RESULTS

In EU5 and Japan, respectively, 1741 and 147 patients were included; at first-line, 80.8% and 64.6% received TNFi and 76.0% and 77.6% received combination therapy. Overall in EU5, more combination therapy than monotherapy patients reached maximum csDMARD dose before first-line targeted therapy (P < 0.05); disease severity was higher in patients initiating TNFi versus non-TNFi (P < 0.05). In Japan, trends were similar but not significant. The most common reason physicians gave for changing therapy following first-line targeted therapy was 'secondary lack of efficacy' (EU5: 46.2%; Japan: 53.8%). In EU5 and Japan, respectively, of 365 and 22 patients who received second-line targeted therapy, 52.1% and 54.5% were MOA switchers. In EU5, TNFi cyclers had longer time from diagnosis to second-line targeted therapy initiation than MOA switchers (P = 0.04).

CONCLUSIONS

TNFis were the most commonly prescribed targeted therapy at first-line. Between 10 and 20% of patients prescribed a TNFi as first-line targeted therapy did so without concomitant csDMARD. Almost half of patients cycled to another TNFi at second-line.

Real-World Persistence with Tocilizumab Compared to Other Subcutaneous Biologic Disease-Modifying Antirheumatic Drugs Among Patients with Rheumatoid Arthritis Switching from Another Biologic

INTRODUCTION

In patients with rheumatoid arthritis (RA) who have an inadequate response to or intolerance of their first biologic disease-modifying antirheumatic drug (bDMARD), guidelines recommend switching to a different biologic class. The objective of this study was to compare persistence with subcutaneous (SC) tocilizumab to persistence with other SC bDMARDs when these drugs are used as subsequent-line therapy in RA patients who previously received ≥ 1 bDMARD.

METHODS

RA patients in a US administrative claims database who initiated a second- or subsequent-line SC bDMARD between January 1, 2012 and June 30, 2017 (initiation date = index date) were included. Persistence was defined as the number of days between the bDMARD initiation date and (1) the last supplied day of medication fill (primary) or (2) the day on which the patient switched or there was a gap in treatment of > 90 days (secondary). Parametric survival models utilizing an exponential distribution with a robust variance estimator were used to compare persistence with tocilizumab to persistence with other bDMARDs.

RESULTS

A total of 10,301 patients with 12,704 bDMARD episodes were included. Patients receiving tocilizumab had a significantly higher adjusted median (95% CI) number of days of primary persistence [333 (311-356)] than those receiving adalimumab [280 (268-293); P  < 0.001], certolizumab [262 (241-284); P  < 0.001], and etanercept [289 (274-304); P  = 0.001], and a similar persistence to those receiving abatacept [320 (305-335); P = 0.327] and golimumab [304 (274-333); P = 0.122].

CONCLUSION

Among patients with RA who had previously received ≥ 1 bDMARD, tocilizumab-treated patients exhibited a similar or significantly better biologic persistence than those receiving other bDMARDs.

Biologic Disease-Modifying Antirheumatic Drug Prescription Patterns for Rheumatoid Arthritis Among United States Physicians

INTRODUCTION

Some patients with rheumatoid arthritis (RA) using tumor necrosis factor inhibitors (TNFi) experience inefficacy or lack of tolerability and hence switch to another TNFi (cycling) or to a therapy with another mode of action (switching). This study examined patient characteristics, prescribing patterns and treatment practice for RA in the United States.

METHODS

Data were from the Adelphi Disease Specific Programme (Q2-Q3 2016). Rheumatologists completed a survey and patient record forms for adult patients with RA who had received ≥ 1 targeted therapy. Patients were grouped by class of first-used targeted therapy, and monotherapy vs. combination therapy. TNFi patients who received ≥ 1 targeted therapy were classified as cyclers or switchers. Univariate analyses compared patient characteristics and physician factors across the analysis groups.

RESULTS

Overall, 631 patients received ≥ 1 targeted therapy; 535 were prescribed a TNFi as first targeted therapy, 53 a nonTNFi biologic disease-modifying antirheumatic drug (bDMARD), and 43 tofacitinib. Of 577 patients with known conventional synthetic (cs) DMARD status, 18.7% were prescribed monotherapy and 81.3% combination therapy. Combination therapy patients received significantly more concomitant medications prior to initiation of first targeted therapy than monotherapy patients (P < 0.05). The top reason for physicians to prescribe first use targeted therapy was strong overall efficacy (79.9%). Of 163 patients who progressed to second targeted therapy, 60.7% were cyclers. A lower proportion of cyclers persisted on their first use targeted therapy versus switchers (P = 0.03). The main reason physicians gave for switching patients at this stage was worsening condition (46.6%).

CONCLUSIONS

Most patients were prescribed a TNFi as their first targeted therapy; over half then cycled to another TNFi. This suggests other factors may influence second use targeted treatment choice and highlights the need for greater understanding of outcomes associated with subsequent treatment choices and potential benefits of switching.

Cost-utility analyses of targeted immunomodulators in rheumatoid arthritis: systematic review

Aims: Cost-utility (CU) modeling is a common technique used to determine whether new treatments represent good value for money. As with any modeling exercise, findings are a direct result of methodology choices, which may vary widely. Several targeted immuno-modulators have been launched in recent years to treat moderate-to-severe rheumatoid arthritis (RA) which have been evaluated using CU methods. Our objectives were to identify common and innovative modeling choices in moderate-to-severe RA and to highlight their implications for future models in RA.Materials and methods: A systematic literature search was conducted to identify CU models in moderate-to-severe RA published from January 2013 to June 2019. Studies must have included an active comparator and used quality-adjusted life-years (QALYs) as the common measure of effectiveness. Modeling methods were characterized by stakeholder perspective, simulation type, mapping between parameters, and data sources.Results: Thirty-one published modeling studies were reviewed spanning 13 countries and 9 drugs, with common methodological choices and innovations observed among them. Over the evaluated time period, we observed common methods and assumptions that are becoming more prominent in the RA CU modeling landscape, including patient-level simulations, two-stage models combining trial results and real-world evidence, real-world treatment durations, long-term health consequences, and Health Assessment Questionnaire (HAQ)-related hospitalization costs. Models that consider the societal perspective are increasingly being developed as well.Limitations: This review did not consider studies that did not report QALYs as a utility measure, models published only as conference abstracts, or cost-consequence models that did not report an incremental CU ratio.Conclusions: CU modeling for RA increasingly reflects real-world conditions and patient experiences which are anticipated to provide better information in the assessment of health technologies. Future CU models in RA should consider applying the observed advances in modeling choices to optimize their CU predictions and simulation of real-world outcomes.

Cost-Effectiveness of Sarilumab Added to Methotrexate in the Treatment of Adult Patients with Moderately to Severely Active Rheumatoid Arthritis Who Have Inadequate Response or Intolerance to Tumor Necrosis Factor Inhibitors

BACKGROUND

Despite a substantial number of treatment options in rheumatoid arthritis (RA) following tumor necrosis factor inhibitor (TNFi) inadequate response or intolerance (TNF-IR), a lack of clarity on the optimal approach remains. Sarilumab, a human monoclonal anti-interleukin-6 receptor alpha antibody, can be used as monotherapy or in combination with methotrexate or other conventional synthetic disease-modifying anti-rheumatic drugs (DMARDs) in TNF-IR patients.

OBJECTIVE

To conduct a cost-utility analysis from a U.S. health care system perspective for sarilumab subcutaneous 200 mg + methotrexate versus abatacept + methotrexate or a bundle of TNFi + methotrexate for treatment of adult patients with moderately to severely active RA and TNF-IR.

METHODS

Analysis was conducted via individual patient simulation based on patient profiles from the TARGET trial (NCT01709578); a 6-month decision tree was followed by lifetime semi-Markov model with 6-month cycles. Treatment response at 6 months, informed by network meta-analysis, was based on American College of Rheumatology (ACR) 20/50/70 criteria; patients achieving ≥ ACR20 continued with current therapy, and other patients moved to the next line of biologic DMARD therapy or conventional synthetic DMARD palliative treatment. Direct costs included wholesale acquisition drug costs and administration and routine care costs. Routine care costs and quality-adjusted life-years (QALYs) were estimated by predicting the Health Assessment Questionnaire Disability Index score based on treatment response and were imputed from published equations.

RESULTS

Sarilumab + methotrexate dominated the TNFi bundle + methotrexate, achieving lower costs ($319,324 vs. $356,096) and greater effectiveness (4.27 vs. 4.15 QALYs), and was on the cost-efficiency frontier with abatacept + methotrexate ($360,211 and 4.29 QALYs). Abatacept + methotrexate was not cost-effective versus sarilumab + methotrexate. Scenario analyses indicated the results were robust; sarilumab + methotrexate became dominant against abatacept + methotrexate after reduced model horizon, minimum response based on ACR50 or ACR70, or time to discontinuation per treatment class. Sarilumab + methotrexate was also dominant versus the TNFi bundle; when class-specific time to treatment discontinuation was specified, sarilumab remained cost-effective with an incremental cost-effectiveness ratio of $36,894.

CONCLUSIONS

Sarilumab + methotrexate can be considered an economically dominant (more effective, less costly) option versus a second TNFi + methotrexate; compared with abatacept + methotrexate, it is a less costly but less effective option for patients with moderately to severely active RA who have previously failed TNFi.

DISCLOSURES

This study was funded by Sanofi and Regeneron Pharmaceuticals. Kiss and Gal are employees of Evidera, which received consulting fees from Sanofi/Regeneron for conducting this study. Muszbek was employed by Evidera at the time of this study. Kuznik and Chen are current employees of and stockholders in Regeneron Pharmaceuticals. Fournier is an employee of and stockholder in Sanofi. Proudfoot is a former employee of and current stockholder in Sanofi and current employee and stockholder in ViiV Healthcare/GlaxoSmithKline. Michaud has received grant funding from Pfizer and the Rheumatology Research Foundation. The sponsors were involved in the study design, collection, analysis, and interpretation of data as well as data checking of information provided in the manuscript. The authors had unrestricted access to study data, were responsible for all content and editorial decisions, and received no honoraria related to the development of this publication.

Assessing disease severity in bio-naïve patients with RA on treatment with csDMARDs: insights from the Corrona Registry

Introduction

This study aimed to characterize disease burden among patients with rheumatoid arthritis (RA) with moderate-to-high disease activity who had received conventional synthetic disease-modifying anti-rheumatic drug (csDMARD) monotherapy for ≥ 6 months but had not advanced to a biologic therapy.

Methods

Patients enrolled in the US Corrona RA Registry between June 1, 2014, and January 30, 2018, with 6 months of continuous csDMARD monotherapy, with moderate-to-high disease activity, who remained biologic naive, and who had ≥ 1 follow-up visit were identified. Disease activity was assessed among patients with a 6-month follow-up visit (± 3 months). Descriptive statistics were used to compare demographics and disease characteristics between patients with or without treatment advancement.

Results

The study included 409 patients with a disease activity assessment at 6 months (mean (SD) age 65.9 (12.6) years; mean duration of csDMARD therapy 407 (221) days). Of those patients, more than half (54%, n = 219) remained in moderate-to-high disease activity. Patients remaining in moderate-to-high vs. remission-to-low disease activity had higher baseline swollen (6.1) and tender joint counts (6.8). Over the 6-month period, treatment advancement occurred in 29% of patients. Those who advanced treatment (n = 118) vs. did not advance treatment (n = 291) were younger, had a shorter duration of RA, had higher disease activity, and reported higher levels of pain and fatigue.

Conclusions

The substantial number of patients with persistent moderate-to-high disease on csDMARDs over a 6-month period and who did not advance treatment indicates that there is considerable need for a treat-to-target approach to care for patients with RA. Key Points•For patients with RA and an inadequate response to treatment with initial csDMARD monotherapy, guidelines recommend treatment advancement; however, this may not be occurring in real-world clinical settings.•In the current study, a substantial proportion of patients (54%) on csDMARDs had persistent moderate-to-severe disease activity at the 6-month (± 3 months) follow-up visit; however, only 29% of patients had their medication treatment advanced, indicating that there is considerable need for a treat-to-target approach to care for patients with RA.•Patients with younger age, shorter RA duration, and higher disease activity were more likely to have their medication treatment advanced, which suggests that potentially more aggressive treatment of disease activity is needed across the whole RA population.

Defining response to TNF-inhibitors in rheumatoid arthritis: the negative impact of anti-TNF cycling and the need for a personalized medicine approach to identify primary non-responders

Current guidelines recommend treating rheumatoid arthritis (RA) patients to reach low disease activity or remission, however, most biologic-naive RA patients fail to reach treatment targets on their first biologic therapy. Approximately 90% of biologic-naive RA patients receive a tumor necrosis factor alpha inhibitor (anti-TNF) as their first biologic treatment, even though several alternative mechanism of action (MOA) therapies are approved as first-line options. After 3 months of therapy, patients may remain on anti-TNF therapy even if they fail to achieve the treatment target, mainly due to formulary structures. This means patients have to endure a second and even a third ineffective anti-TNF-called anti-TNF cycling-before changing MOA. This significantly delays patients from reaching their treatment targets. All anti-TNF drugs target the same molecular and inflammatory pathways; thus, it is not surprising that most patients who are primary non-responders to their initial anti-TNF therapy fail to achieve their treatment targets when cycled through alternative anti-TNFs. This suggests that primary non-responders should be switched to an alternative MOA therapy rather than enduring anti-TNF cycling. Avoiding anti-TNF cycling would prevent disease progression and improve quality of life for RA patients who are primary non-responders to anti-TNFs. The development of a personalized medicine approach to identify primary non-responders to anti-TNFs prior to treatment would allow significantly more patients to reach their treatment target by treating them with alternative MOA therapies as first-line therapies.

Persistence rates of abatacept and TNF inhibitors used as first or second biologic DMARDs in the treatment of rheumatoid arthritis: 9 years of experience from the Rhumadata® clinical database and registry

Background

Treatment persistence is an important consideration when selecting a therapy for chronic conditions such as rheumatoid arthritis (RA). We assessed the long-term persistence of abatacept or a tumor necrosis factor inhibitor (TNFi) following (1) inadequate response to a conventional synthetic disease-modifying antirheumatic drug (first-line biologic agent) and (2) inadequate response to a first biologic DMARD (second-line biologic agent).

Methods

Data were extracted from the Rhumadata® registry for patients with RA prescribed either abatacept or a TNFi (adalimumab, certolizumab, etanercept, golimumab, or infliximab) who met the study selection criteria. The primary outcome was persistence to abatacept and TNFi treatment, as first- or second-line biologics. Secondary outcomes included the proportion of patients discontinuing therapy, reasons for discontinuation, and predictors of discontinuation. Persistence was defined as the time from initiation to discontinuation of biologic therapy. Baseline characteristics were compared using descriptive statistics; cumulative persistence rates were estimated using Kaplan-Meier methods, compared using the log-rank test. Multivariate Cox proportional hazard models were used to compare the persistence between treatments, controlling for baseline covariates.

Results

Overall, 705 patients met the selection criteria for first-line biologic agent initiation (abatacept, n = 92; TNFi, n = 613) and 317 patients met the criteria for second-line biologic agent initiation (abatacept, n = 105; TNFi, n = 212). There were no clinically significant differences in baseline characteristics between the treatments with either first- or second-line biologics. Persistence was similar between the first-line biologic treatments (p = 0.7406) but significantly higher for abatacept compared with TNFi as a second-line biologic (p = 0.0001). Mean (SD) times on first-line biologic abatacept and TNFi use were 4.53 (0.41) and 5.35 (0.20) years, and 4.80 (0.45) and 2.82 (0.24) years, respectively, as second-line biologic agents. The proportion of patients discontinuing abatacept and TNFi in first-line was 51.1% vs. 59.5% (p = 0.1404), respectively. In second-line, it was 57.1% vs. 74.1% (p = 0.0031). The main reasons for stopping both treatments were inefficacy and adverse events.

Conclusions

Abatacept and TNFi use demonstrated similar persistence rates at 9 years as a first-line biologic agent. As a second-line biologic agent, abatacept had better persistence rates over a TNFi.

2019 American College of Rheumatology/Arthritis Foundation Guideline for the Treatment of Juvenile Idiopathic Arthritis: Therapeutic Approaches for Non-Systemic Polyarthritis, Sacroiliitis, and Enthesitis

OBJECTIVE

To develop treatment recommendations for children with juvenile idiopathic arthritis manifesting as non-systemic polyarthritis, sacroiliitis, or enthesitis.

METHODS

The Patient/Population, Intervention, Comparison, and Outcomes (PICO) questions were developed and refined by members of the guideline development teams. A systematic review was conducted to compile evidence for the benefits and harms associated with treatments for these conditions. GRADE (Grading of Recommendations Assessment, Development and Evaluation) methodology was used to rate the quality of evidence. A group consensus process was conducted among the Voting Panel to generate the final recommendations and grade their strength. A Parent and Patient Panel used a similar consensus approach to provide patient/caregiver preferences for key questions.

RESULTS

Thirty-nine recommendations were developed (8 strong and 31 conditional). The quality of supporting evidence was very low or low for 90% of the recommendations. Recommendations are provided for the use of nonsteroidal antiinflammatory drugs, disease-modifying antirheumatic drugs, biologics, and intraarticular and oral glucocorticoids. Recommendations for the use of physical and occupational therapy are also provided. Specific recommendations for polyarthritis address general medication use, initial and subsequent treatment, and adjunctive therapies. Good disease control, with therapeutic escalation to achieve low disease activity, was recommended. The sacroiliitis and enthesitis recommendations primarily address initial therapy and adjunctive therapies.

CONCLUSION

This guideline provides direction for clinicians, caregivers, and patients making treatment decisions. Clinicians, caregivers, and patients should use a shared decision-making process that accounts for patients' values, preferences, and comorbidities. These recommendations should not be used to limit or deny access to therapies.

2019 American College of Rheumatology/Arthritis Foundation Guideline for the Treatment of Juvenile Idiopathic Arthritis: Therapeutic Approaches for Non-Systemic Polyarthritis, Sacroiliitis, and Enthesitis

OBJECTIVE

To develop treatment recommendations for children with juvenile idiopathic arthritis manifesting as non-systemic polyarthritis, sacroiliitis, or enthesitis.

METHODS

The Patient/Population, Intervention, Comparison, and Outcomes (PICO) questions were developed and refined by members of the guideline development teams. A systematic review was conducted to compile evidence for the benefits and harms associated with treatments for these conditions. GRADE (Grading of Recommendations Assessment, Development and Evaluation) methodology was used to rate the quality of evidence. A group consensus process was conducted among the Voting Panel to generate the final recommendations and grade their strength. A Parent and Patient Panel used a similar consensus approach to provide patient/caregiver preferences for key questions.

RESULTS

Thirty-nine recommendations were developed (8 strong and 31 conditional). The quality of supporting evidence was very low or low for 90% of the recommendations. Recommendations are provided for the use of nonsteroidal antiinflammatory drugs, disease-modifying antirheumatic drugs, biologics, and intraarticular and oral glucocorticoids. Recommendations for the use of physical and occupational therapy are also provided. Specific recommendations for polyarthritis address general medication use, initial and subsequent treatment, and adjunctive therapies. Good disease control, with therapeutic escalation to achieve low disease activity, was recommended. The sacroiliitis and enthesitis recommendations primarily address initial therapy and adjunctive therapies.

CONCLUSION

This guideline provides direction for clinicians, caregivers, and patients making treatment decisions. Clinicians, caregivers, and patients should use a shared decision-making process that accounts for patients' values, preferences, and comorbidities. These recommendations should not be used to limit or deny access to therapies.

Turkish League Against Rheumatism (TLAR) Recommendations for the Pharmacological Management of Rheumatoid Arthritis: 2018 Update Under Guidance of Current Recommendations

Objectives

This study aims to report the assessment of the Turkish League Against Rheumatism (TLAR) expert panel on the compliance and adaptation of the European League Against Rheumatism (EULAR) 2016 recommendations for the management of rheumatoid arthritis (RA) in Turkey.

Patients and methods

The EULAR 2016 recommendations for the treatment of RA were voted by 27 specialists experienced in this field with regard to participation rate for each recommendation and significance of items. Afterwards, each recommendation was brought forward for discussion and any alteration gaining ≥70% approval was accepted. Also, Turkish version of each item was rearranged. Last version of the recommendations was then revoted to determine the level of agreement. Levels of agreement of the two voting rounds were compared with Wilcoxon signed-rank test. In case of significant difference, the item with higher level of agreement was accepted. In case of no difference, the changed item was selected.

Results

Four overarching principles and 12 recommendations were assessed among which three overarching principles and one recommendation were changed. The changed overarching principles emphasized the importance of physical medicine and rehabilitation specialists as well as rheumatologists for the care of RA patients in Turkey. An alteration was made in the eighth recommendation on treatment of active RA patients with unfavorable prognostic indicators after failure of three conventional disease modifying anti-rheumatic drugs. Remaining principles were accepted as the same although some alterations were suggested but could not find adequate support to reach significance.

Conclusion

Expert opinion of the TLAR for the treatment of RA was composed for practices in Turkish rheumatology and/or physical medicine and rehabilitation clinics.

TNF Inhibitor-Induced Psoriasis: Proposed Algorithm for Treatment and Management

Tumor necrosis factor a (TNF-α)-targeted therapies have expanded the therapeutic options for patients with inflammatory bowel disease (IBD), rheumatoid arthritis (RA), psoriasis, and psoriatic arthritis (PsA) and have significantly improved patients' quality of life. Paradoxically, anti-TNF-α agents may induce psoriatic eruptions or worsen preexisting psoriatic skin disease. Currently, there is no standard approach for the management of TNF inhibitor-induced psoriasis. Here, we conduct a literature review on TNF inhibitor-induced psoriasis and introduce a novel treatment algorithm for maintaining otherwise effective anti-TNF therapy versus switching to a different class as appropriate in the management of patients with IBD, RA, psoriasis, or PsA.

Long-term persistence with rituximab in patients with rheumatoid arthritis

Objectives

To investigate the long term persistence of rituximab (RTX) in a large observational RA cohort, investigate persistence of RTX when used as a first or second line biologic DMARD (bDMARD), to characterize subsequent bDMARD treatment following RTX.

Methods

Patients with RA starting treatment with RTX (MabThera) between 2008 and 2011 were recruited into the British Society for Rheumatology Biologics Register for RA. Duration of RTX treatment over the first 4 years after initiation was estimated via Kaplan-Meier estimates and the reason for discontinuation was ascertained. Subsequent bDMARD use following RTX discontinuation was characterised. Treatment survival in bDMARD-naïve (first line RTX use) and experienced (second line RTX use) cohorts was described.

Results

One thousand six hundred and twenty-nine patients were recruited (1371 bDMARD-experienced and 258 bDMARD-naïve). Sixty percent of the whole cohort remained on RTX after 4 years. Ineffectiveness (46%) and death (24%) were the most common reason for RTX discontinuation. RTX discontinuation was associated with RF negativity for the bDMARD-experienced cohort. Of those that discontinued RTX, 46% initiated treatment with another bDMARD, with tocilizumab being the most common.

Conclusion

This large study of patients initiating RTX treatment for severe RA found that 60% persisted with treatment after 4 years. This study also identified that RTX is tolerated well when used as a first or second line bDMARD.