Little Evidence for Usefulness of Biomarkers for Predicting Successful Dose Reduction or Discontinuation of a Biologic Agent in Rheumatoid Arthritis: A Systematic Review

What are the benefits of therapeutic drug monitoring in the optimization of adalimumab therapy? a systematic review and meta-analysis up to 2022

Aims

Persistent uncertainties exist surrounding the therapeutic drug monitoring (TDM) of adalimumab in clinical settings. To address these issues, we conducted a systematic review to assess the current evidence regarding the benefits of TDM for adalimumab.

Methods

PubMed, EMBASE, and Cochrane Databases were searched from inception to October 2022. The trials regarding to the list three key questions were considered: 1) Could routine proactive TDM assist in improving outcomes in patients receiving adalimumab? 2) Could reactive TDM assist in guiding subsequent treatment strategies for patients with treatment failure to adalimumab? 3) Could TDM assist in informing dose reduction or discontinuation in patients with low disease activity or in remission treated with adalimumab? Two reviewers independently selected the studies and extracted the data. Meta-analysis was performed to calculate the relative risk (RR) and 95% confidence interval (CI).

Results

A total of 9 studies was included in this review. For proactive TDM, meta-analysis indicated that proactive TDM (n = 163/257, 63.42%) showed no significant superiority over reactive TDM and/or conventional management (n = 336/606, 55.44%) in achieving and/or maintaining clinical remission by random effects model (RR: 1.24, 95% CI 0.98-1.58, I 2 = 73%). There were three studies that supporting the reactive TDM, low drug levels in the absence of anti-drug antibodies (ADA) strongly indicate the need for dose intensification, and infliximab is a feasible choice for patients with low drug levels and ADA positivity. While swapping to another class should be considered in patients with adequate drug levels. In addition, TDM can help clinicians optimize dosing schedules and prevent overtreatment in patients who have achieved low disease activity and sufficient drug concentrations, with no predictive value for successful adalimumab discontinuation.

Conclusion

Current evidence suggests that proactive TDM is numerically but not statistically significant superiority over reactive TDM and/or conventional management. Reactive TDM can aid in understanding treatment failure and developing subsequent therapy. For patients reaching low disease activity and remission, TDM can help successful dose reduction, while it cannot inform the successful drug discontinuation. However, existing trials are limited, and more well-designed trials are necessary to clarify the role of TDM in adalimumab treatment.

The Gap in Knowledge about Tapering Targeted Therapy being used as Monotherapy in Rheumatoid Arthritis: A Systematic Review

BACKGROUND

Up to 30% of patients with RA are being treated with biologic (b)-disease modifying anti-rheumatic drugs (DMARDs) as monotherapy. Monotherapy with Interleukin (IL)-6 inhibitors(i) and Janus-kinase (JAK)-i has been shown to be effective. Whether patients can taper targeted therapy (bDMARDs and JAK-i) used as monotherapy (targeted monotherapy) is unknown.

OBJECTIVE

To determine the feasibility of tapering of targeted monotherapy in patients with controlled RA.

METHODS

We conducted a literature search in Medline, Embase and Cochrane Library for prospective studies reporting remission outcomes after tapering targeted monotherapy in RA patients, from 1/2014 - 8 /2021.

RESULTS

5 randomized studies which met our inclusion criteria, evaluating tapering of monotherapy with tumor necrosis factor-inhibitors, tocilizumab, abatacept and baricitinib in RA. Studies were heterogeneous. Three trials studied early RA. Three studies gradually tapered therapy, including 1 dose reduction study. Three studies tapered both biological and conventional-synthetic (cs)-DMARDs. No study compared stopping targeted monotherapy to continuing it. Remission rates were low 14-28% across all studies that stopped targeted monotherapy. The highest remission rate of 72% was reported by the dose reduction study. Trials that studied early RA reported remission rates after tapering ranging 27-72%. Trials tapering therapy in established RA reported rates of remission from 14-20%.

CONCLUSION

There is a crucial gap in published literature to inform on tapering targeted monotherapy in patients with RA. Stopping targeted monotherapy is unlikely to maintain disease control in RA. Dose reduction strategies and early treatment of disease may be associated with more successful tapering, and warrant future study.

Prevalence and predictors of sustained remission/low disease activity after discontinuation of induction or maintenance treatment with tumor necrosis factor inhibitors in rheumatoid arthritis: a systematic and scoping review

BACKGROUND

To determine the prevalence of sustained remission/low disease activity (LDA) in patients with rheumatoid arthritis (RA) after discontinuation of tumor necrosis factor inhibitors (TNFi), separately in induction treatment and maintenance treatment studies, and to identify predictors of successful discontinuation.

METHODS

We performed a systematic literature review of studies published from 2005 to May 2022 that reported outcomes after TNFi discontinuation among patients in remission/LDA. We computed prevalences of successful discontinuation by induction or maintenance treatment, remission criterion, and follow-up time. We performed a scoping review of predictors of successful discontinuation.

RESULTS

Twenty-two induction-withdrawal studies were identified. In pooled analyses, 58% (95% confidence interval (CI) 45, 70) had DAS28 < 3.2 (9 studies), 52% (95% CI 35, 69) had DAS28 < 2.6 (9 studies), and 40% (95% CI 18, 64) had SDAI ≤ 3.3 (4 studies) at 37-52 weeks after discontinuation. Among patients who continued TNFi, 62 to 85% maintained remission. Twenty-two studies of maintenance treatment discontinuation were also identified. At 37-52 weeks after TNFi discontinuation, 48% (95% CI 38, 59) had DAS28 < 3.2 (10 studies), and 47% (95% CI 33, 62) had DAS28 < 2.6 (6 studies). Heterogeneity among studies was high. Data on predictors in induction-withdrawal studies were limited. In both treatment scenarios, longer duration of RA was most consistently associated with less successful discontinuation.

CONCLUSIONS

Approximately one-half of patients with RA remain in remission/LDA for up to 1 year after TNFi discontinuation, with slightly higher proportions in induction-withdrawal settings than with maintenance treatment discontinuation.

Predicting successful biologics tapering in patients with inflammatory arthritis: Secondary analyses based on the BIOlogical Dose OPTimisation (BIODOPT) trial

AIMS

To evaluate predictors for successful biologic tapering among patients with inflammatory arthritis using baseline characteristics from the BIODOPT trial.

METHODS

Adult patients with rheumatoid arthritis, psoriatic arthritis or axial spondyloarthritis on stable biologic dose and in low disease activity ≥12 months were enrolled. Participants were randomized (2:1) to disease activity-guided biologic tapering or continuation of baseline biologic. Patients achieving successful tapering reduced their biologic dose by ≥50%, had no protocol deviations and were in low disease activity at 18 months. Modified Poisson regression with robust variance estimator was applied.

RESULTS

In total, 142 patients were randomized to tapering (n = 95) or control (n = 47). Successful tapering was achieved by 32 and 2%, respectively. Tapering group was the only statistically significant independent predictor for successful tapering, risk ratio (RR): 14.0 (95% confidence interval [CI]: 1.9 to 101.3, P = .009). However, higher Short Form Health Survey 36 mental component summary (SF-36 MCS) was observed to be a predictor of potential importance, RR: 1.06 (95% CI: 0.99 to 1.13, P = .097). When limiting the analyses to the tapering group only, none of the baseline variables were statistically significant independent predictors but SF-36 MCS was still considered to be of potential importance, RR: 1.05 (95% CI: 0.99 to 1.12, P = .098).

CONCLUSION

Successful tapering is a reachable target for 1 in 3 patients with inflammatory arthritis who are interested in reducing their biological therapy. No statistically significant predictors (besides allocation to tapering) were identified. Future research on mental health and tapering is encouraged.

Disease activity-guided tapering of biologics in patients with inflammatory arthritis: a pragmatic, randomized, open-label, equivalence trial

OBJECTIVE

To evaluate whether disease activity-guided tapering of biologics compared to continuation as usual care enables a substantial dose reduction while disease activity remains equivalent.

METHOD

In this pragmatic, randomized, open-label, equivalence trial, adults with rheumatoid arthritis, psoriatic arthritis, or axial spondyloarthritis in low disease activity on stable-dose biologics for ≥ 12 months were randomized 2:1 into either the tapering group, i.e. disease activity-guided prolongation of the biologic dosing interval until flare or withdrawal, or the control group, i.e. maintaince of baseline biologics with a possible small interval increase at the patients request. The co-primary outcome in the intention-to-treat population was met if superiority in ≥ 50% biologic reduction at 18 months was demonstrated and disease activity was equivalent (equivalence margins ± 0.5).

RESULTS

Ninety-five patients were randomized to tapering and 47 to control, of whom 37% (35/95) versus 2% (1/47) achieved ≥ 50% biologic reduction at 18 months. The risk difference was statistically significant [35%, 95% confidence interval (CI) 24%-45%], while disease activity remained equivalent [mean difference 0.05, 95% CI -0.12-0.29]. A statistically significant flare risk was observed [tapering 41% (39/95) vs control 21% (10/47), risk difference 20%, 95% CI 4%-35%]; but, only 1% (1/95) and 6% (3/47) had persistent flare and needed to switch to another biological drug.

CONCLUSIONS

Disease activity-guided tapering of biologics in patients with inflammatory arthritis enabled one-third to achieve ≥ 50% biologic reduction, while disease activity between groups remained equivalent. Flares were more frequent in the tapering group but were managed with rescue therapy.

The added value of predictive biomarkers in treat-to-target strategies for rheumatoid arthritis patients: a conceptual modelling study

OBJECTIVES

To quantify the additional value of a hypothetical biomarker predicting response to treatment for RA regarding efficacy and costs by using a modelling design.

METHODS

A Markov model was built comparing a usual care T2T strategy with a biomarker-steered strategy for RA patients starting biologic therapy. Outcome measures include time spent in remission or low disease activity (LDA) and costs. Four additional scenario analyses were performed by varying biomarker or clinical care characteristics: (i) costs of the biomarker; (ii) sensitivity and specificity of the biomarker; (iii) proportion of eligible patients tapering; and (iv) medication costs.

RESULTS

In the base model, patients spent 2.9 months extra in LDA or remission in the biomarker strategy compared with usual care T2T over 48 months. Total costs were €43 301 and €42 568 for, respectively, the usual care and biomarker strategy, and treatment costs accounted for 91% of total costs in both scenarios. Cost savings were driven due to patients in the biomarker strategy experiencing remission or LDA earlier, and starting tapering sooner. Cost-effectiveness was not so much driven by costs or test characteristics of the biomarker (scenario 1/2), but rather by the level of early and proactive tapering and drug costs (scenarios 3/4).

CONCLUSIONS

The use of a biomarker for prediction of response to b/tsDMARD treatment in RA can be of added value to current treat-to-target clinical care. However, gains in efficacy are modest and cost gains are depending on a combination of early proactive tapering and high medication costs.

Tailored therapeutic decision of rheumatoid arthritis using proteomic strategies: how to start and when to stop?

Unpredictable treatment responses have been an obstacle for the successful management of rheumatoid arthritis. Although numerous serum proteins have been proposed, there is a lack of integrative survey to compare their relevance in predicting treatment outcomes in rheumatoid arthritis. Also, little is known about their applications in various treatment stages, such as dose modification, drug switching or withdrawal. Here we present an in-depth exploration of the potential usefulness of serum proteins in clinical decision-making and unveil the spectrum of immunopathology underlying responders to different drugs. Patients with robust autoimmunity and inflammation are more responsive to biological treatments and prone to relapse during treatment de-escalation. Moreover, the concentration changes of serum proteins at the beginning of the treatments possibly assist early recognition of treatment responders. With a better understanding of the relationship between the serum proteome and treatment responses, personalized medicine in rheumatoid arthritis will be more achievable in the near future.

Factors associated with discontinuation of biologics in patients with inflammatory arthritis in remission: data from the BIOBADASER registry

BACKGROUND

The objectives of this study were to assess the discontinuation of biologic therapy in patients who achieve remission and identify predictors of discontinuation of biologics in patients with inflammatory arthritis in remission.

METHODS

An observational retrospective study from the BIOBADASER registry comprising adult patients diagnosed with rheumatoid arthritis (RA), ankylosing spondylitis (AS), or psoriatic arthritis (PsA) and receiving 1 or 2 biological disease-modifying drugs (bDMARDs) between October 1999 and April 2021. Patients were followed yearly after initiation of therapy or until discontinuation of treatment. Reasons for discontinuation were collected. Patients who discontinued bDMARDs because of remission as defined by the attending clinician were studied. Predictors of discontinuation were explored using multivariable regression models.

RESULTS

The study population comprised 3,366 patients taking 1 or 2 bDMARDs. Biologics were discontinued owing to remission by 80 patients (2.4%): 30 with RA (1.7%), 18 with AS (2.4%), and 32 with PsA (3.9%). The factors associated with a higher probability of discontinuation on remission were shorter disease duration (OR: 0.95; 95% CI: 0.91-0.99), no concomitant use of classic DMARDs (OR: 0.56; 95% CI: 0.34-0.92), and shorter usage of the previous bDMARD (before the decision to discontinue biological therapy) (OR: 1.01; 95% CI: 1.01-1.02); in contrast, smoking status (OR: 2.48; 95% CI: 1.21-5.08) was associated with a lower probability. In patients with RA, positive ACPA was associated with a lower probability of discontinuation (OR: 0.11; 95% CI: 0.02-0.53).

CONCLUSIONS

Discontinuation of bDMARDs in patients who achieve remission is uncommon in routine clinical care. Smoking and positive ACPA in RA patients were associated with a lower probability of treatment discontinuation because of clinical remission.

Risk factors associated with relapse after methotrexate dose reduction in patients with rheumatoid arthritis receiving golimumab and methotrexate combination therapy

AIM

To identify risk factors for relapse after methotrexate (MTX) dose reduction in rheumatoid arthritis (RA) patients receiving golimumab (GLM)/MTX combination therapy.

METHOD

Data on RA patients ≥20 years old receiving GLM (50 mg) + MTX for ≥6 months were retrospectively collected. MTX dose reduction was defined as a reduction of ≥12 mg from the total dose within 12 weeks of the maximum dose (≥1 mg/wk average). Relapse was defined as Disease Activity Score in 28 joints using C-reactive protein level (DAS28-CRP) score ≥3.2 or sustained (≥ twice) increase of ≥0.6 from baseline.

RESULTS

A total of 304 eligible patients were included. Among the MTX-reduction group (n = 125), 16.8% of patients relapsed. Age, duration from diagnosis to the initiation of GLM, baseline MTX dose, and DAS28-CRP were comparable between relapse and no-relapse groups. The adjusted odds ratio (aOR) of relapse after MTX reduction was 4.37 (95% CI 1.16-16.38, P = 0.03) for prior use of non-steroidal anti-inflammatory drugs (NSAIDs), and the aORs for cardiovascular disease (CVD), gastrointestinal disease and liver disease were 2.36, 2.28, and 3.03, respectively. Compared to the non-reduction group, the MTX-reduction group had a higher proportion of patients with CVD (17.6% vs 7.3%, P = 0.02) and a lower proportion of prior use of biologic disease-modifying antirheumatic drugs (11.2% vs. 24.0%, P = 0.0076).

CONCLUSION

Attention should be given to RA patients with history of CVD, gastrointestinal disease, liver disease, or prior NSAIDs-use when considering MTX dose reduction to ensure benefits outweigh the risks of relapse.

Points to consider for cost-effective use of biological and targeted synthetic DMARDs in inflammatory rheumatic diseases: results from an umbrella review and international Delphi study

OBJECTIVES

To develop evidence-based points to consider for cost-effective use of biological and targeted synthetic disease-modifying antirheumatic drugs (b/tsDMARDs) in the treatment of inflammatory rheumatic diseases, specifically rheumatoid arthritis, psoriatic arthritis and axial spondyloarthritis.

METHODS

Following EULAR procedures, an international task force was formed, consisting of 13 experts in rheumatology, epidemiology and pharmacology from seven European countries. Twelve strategies for cost-effective use of b/tsDMARDs were identified through individual and group discussion. For each strategy, PubMed and Embase were systematically searched for relevant English-language systematic reviews and, for six strategies, additionally for randomised controlled trials (RCTs). Thirty systematic reviews and 21 RCTs were included. Based on the evidence, a set of overarching principles and points to consider was formulated by the task force using a Delphi procedure. Level of evidence (1a-5) and grade (A-D) were determined for each point to consider. Individual voting on the level of agreement (LoA; between 0 (completely disagree) and 10 (completely agree)) was performed anonymously.

RESULTS

The task force agreed on five overarching principles. For 10 of 12 strategies, the evidence was sufficient to formulate one or more points to consider, leading to 20 in total, regarding response prediction, drug formulary use, biosimilars, loading doses, low-dose initial therapy, concomitant conventional synthetic DMARD use, route of administration, medication adherence, disease activity-guided dose optimisation and non-medical drug switching. Ten points to consider (50%) were supported by level 1 or 2 evidence. The mean LoA (SD) varied between 7.9 (1.2) and 9.8 (0.4).

CONCLUSION

These points to consider can be used in rheumatology practices and complement inflammatory rheumatic disease treatment guidelines to incorporate cost-effectiveness in b/tsDMARD treatment.

Can Patients With Controlled Rheumatoid Arthritis Taper Methotrexate From Targeted Therapy and Sustain Remission? A Systematic Review and Metaanalysis

OBJECTIVE

To determine the risk of not being able to sustain remission after tapering methotrexate (MTX) from targeted therapy in patients with controlled rheumatoid arthritis (RA).

METHODS

A systematic literature search was conducted in MEDLINE, Embase, and the Cochrane Library for studies reporting remission outcomes after tapering MTX from targeted therapies in RA. Full-text articles and abstracts reported in English were included. Metaanalyses were conducted using random-effects models. Forest and funnel plots were created.

RESULTS

A total of 10 articles were included. Studies evaluated MTX being tapered from combination treatment with tumor necrosis factor inhibitors, tocilizumab, abatacept, and tofacitinib. A total of 9 studies used a randomized design and 1 was observational. Out of 10 studies, 3 focused on early RA (ie, < 1 yr). The MTX-tapering strategy was gradual in 2 studies and rapid in 8 studies. Follow-up ranged from 3 to 18 months in randomized trials and up to 3 years in the observational study. Our metaanalysis, which included 2000 participants with RA from 10 studies, showed that patients who tapered MTX from targeted therapy had a 10% reduction in the ability to sustain remission and an overall pooled risk ratio of 0.90 (95% CI 0.84-0.97). There was no heterogeneity (I ² = 0%, P = 0.94). Our funnel plot indicated minimal publication bias.

CONCLUSION

Patients with controlled RA may taper MTX from targeted therapy with a 10% reduction in the ability to sustain remission for up to 18 months. Longer follow-up studies with attention to radiographic, functional, and patient-reported outcomes are needed. The risk of disease worsening should be discussed with the patient with careful follow-up and prompt retreatment of disease worsening.

Discontinuation of biologic DMARDs in non-systemic JIA patients: a scoping review of relapse rates and associated factors

BACKGROUND

Biologic disease-modifying antirheumatic drugs (bDMARDs) have changed the treatment of juvenile idiopathic arthritis (JIA) patients notably, as bDMARDs enable substantially more patients to achieve remission. When sustained remission is achieved, tapering or even discontinuation of the bDMARD is advocated, to reduce side effects and costs. However, when and how to discontinue bDMARD therapy and what happens afterwards, is less known.

OBJECTIVES

With this scoping review we aim to collect available data in current literature on relapse rate, time to relapse (TTR) and possible flare associated variables (such as time spent in remission and method of discontinuation) after discontinuing bDMARDs in non-systemic JIA patients.

METHODS

We performed a literature search until July 2022 using the Pubmed database. All original studies reporting on bDMARD discontinuation in non-systemic JIA patients were eligible. Data on patient- and study characteristics, the applied discontinuation strategy, relapse rates and time to relapse were extracted in a standardized template.

RESULTS

Of the 680 records screened, 28 articles were included in this review with 456 non-systemic JIA patients who tapered and/or stopped bDMARD therapy. Relapse rate after discontinuation of bDMARDs, either abruptly or following tapering, were 40-48%, 36.8-45.0% and 60-78% at 6, 8 and 12 months respectively. Total relapse rate ranged from 26.3% to 100%, with mean time to relapse (TTR) of 2 to 8.4 months, median TTR 3 to 10 months. All studies stated a good response after restart of therapy after flare. JIA subtype, type of bDMARD, concomitant methotrexate use, treatment duration, tapering method, age, sex, and time in remission could not conclusively be related to relapse rate or TTR. However, some studies reported a positive correlation between flare and antinuclear antibodies positivity, younger age at disease onset, male sex, disease duration and delayed remission, which were not confirmed in other studies.

CONCLUSION

Flares seem to be common after bDMARD discontinuation, but little is known about which factors influence these flares in JIA patients. Follow up after discontinuation with careful registration of patient variables, information about tapering methods and flare rates are required to better guide tapering and/or stopping of bDMARDs in JIA patients in the future.

Withdrawal of MTX in rheumatoid arthritis patients on bDMARD/tsDMARD plus methotrexate at target: a systematic review and meta-analysis

OBJECTIVES

To evaluate the effect of methotrexate (MTX) withdrawal on disease activity and remission rate in patients at target after treatment with bDMARDs/tsDMARDs plus MTX.

METHODS

We searched the PubMed, EMBASE, and CENTRAL databases for all RCTs on MTX withdrawal in patients with rheumatoid arthritis at target after combination therapy from inception to 2022-3-7 in order to extract data, including the change from withdrawal in DAS28 at the end point; proportion of low disease activity (LDA) assessed by DAS28, SDAI or CDAI; proportion of remission assessed by DAS28, SDAI, CDAI or ACR/EULAR Boolean remission. The Cochrane Q test and I2 test were used to assess heterogeneity, and random-effects models were used for data synthesis. This study is registered with PROSPERO (CRD42022303891).

RESULTS

Six articles were included for qualitative and quantitative analysis, all of which were noninferior RCTs involving 1430 patients (734 in the withdrawal group and 696 in the continuation group). Compared with continuing combination therapy, tapering off or discontinuing MTX increased DAS28 by 0.20 (95% CI 0.09-0.32, I2 = 0%) and decreased the percentage of patients with LDA assessed by DAS28 to < 3.2 (RR 0.88 [0.80, 0.97] I2 = 0%). However, MTX withdrawal did not decrease remission rates assessed by DAS28, SDAI, CDAI or ACR/EULAR Boolean remission (RR 0.90 [0.81, 1.01], 0.93 [0.77, 1.11], 0.90 [0.74, 1.11], 0.95 [0.70, 1.29], respectively).

CONCLUSION

Withdrawing MTX slightly increases the RA disease activity in patients treated at target with bDMARDs/tsDMARDs plus MTX and has limited effects for patients with deep remission.

Using real-world data to dynamically predict flares during tapering of biological DMARDs in rheumatoid arthritis: development, validation, and potential impact of prediction-aided decisions

Background

Biological disease-modifying antirheumatic drugs (bDMARDs) are effective in the treatment of rheumatoid arthritis. However, as bDMARDs may also lead to adverse events and are expensive, tapering them is of great clinical interest. Tapering according to disease activity-guided dose optimization (DGDO) does not seem to affect long term remission rates, but flares are frequent during this process. Our objective was to develop a model for the prediction of flares during bDMARD tapering using data from routine care and to evaluate its potential clinical impact.

Methods

We used a joint latent class model to repeatedly predict the probability of a flare occurring within the next 3 months. The model was developed using longitudinal data on disease activity (DAS28) and other routine care data from two clinics. Predictive accuracy was assessed in cross-validation and external validation was performed with data from the DRESS (Dose REduction Strategy of Subcutaneous tumor necrosis factor inhibitors) trial. Additionally, we simulated the reduction in number of flares and bDMARD dose when implementing the model as a decision aid during bDMARD tapering in the DRESS trial.

Results

Data from 279 bDMARD courses were used for model development. The final model included two latent DAS28-trajectories, bDMARD type and dose, disease duration, and seropositivity. The area under the curve of the final model was 0.76 (0.69–0.83) in cross-validation and 0.68 (0.62–0.73) in external validation. In simulation of prediction-aided decisions, the mean number of flares over 18 months decreased from 1.21 (0.99–1.43) to 0.75 (0.54–0.96). The reduction in he bDMARD dose was mostly maintained, increasing from 54 to 64% of full dose.

Conclusions

We developed a dynamic flare prediction model, exclusively based on data typically available in routine care. Our results show that using this model to aid decisions during bDMARD tapering may significantly reduce the number of flares while maintaining most of the bDMARD dose reduction.

Trial registration

The clinical impact of the prediction model is currently under investigation in the PATIO randomized controlled trial (Dutch Trial Register number NL9798).

Supplementary Information

The online version contains supplementary material available at 10.1186/s13075-022-02751-8.

Drug levels, anti-drug antibodies and B-cell counts were not predictive of response in rheumatoid arthritis patients on low dose rituximab

OBJECTIVES

The REDO trial showed that ultra-low dose rituximab (500 mg or 200 mg) was similarly effective in the majority of rheumatoid arthritis (RA) patients. This pre-planned secondary analysis investigates 1) associations between rituximab dosage, drug levels, anti-drug antibodies (ADA) and B cell counts and 2) the predictive value of pharmacokinetic and -dynamic parameters, patient, disease and treatment characteristics in relation to response to ultra-low dose rituximab.

METHODS

For 140 RA patients from the REDO trial, differences in drug levels, ADA and B cell counts were examined at baseline, three and six months after dosing. Treatment response was defined as absence of flare and no extra rituximab or > 1 glucocorticoid injection received during follow-up. The association between potential predictors and response was investigated using logistic regression analyses.

RESULTS

Lower doses of rituximab resulted in lower drug levels but did not significantly affect ADA levels and B cell counts. 3 (10.7%), 12 (20.7%) and 7 (13.0%) patients failed to meet response-criteria in respectively the 1000 mg, 500 mg and 200 mg group. Drug levels, ADA and B cell counts as well as patient, disease and treatment characteristics were not predictive for response to ultra-low dose rituximab.

CONCLUSION

Results of this study further support that continued treatment with 500 or 200 mg rituximab is similarly effective as 1000 mg in RA patients doing well on rituximab. These results, combined with absence of clinical dose response relation in the original REDO study, suggest that 200 mg rituximab is not yet the lowest effective rituximab retreatment dose in RA.

[Innovative strategies for treatment of rheumatoid arthritis]

Besides excellent guidelines and newly developed highly effective drugs, evidence-based strategic use of these new drugs has especially contributed to enormous advances in rheumatoid arthritis treatment, apparent especially since 2000. Currently, the treat-to-target (T2T) strategy has proven to be the most successful in several studies and systematic reviews. The target is to achieve remission, which should be reached and sustained for an optimal outcome (i.e. stable over a long time period). If the initial disease-modifying antirheumatic drug (DMARD) treatment fails, the best strategy for continuing treatment is controversial, with swap or switch being open to debate (change within a class of drugs or change in the mechanism of action). Recent studies seem to indicate that switching to another mechanism of action is the most successful approach. A hotly discussed topic is the question whether DMARD treatment can or should be tapered when sustained remission has been achieved? Many patients wish for a reduction of drugs in cases of stable remission; however, the stable disease control might become destabilized by tapering. The main priority is the reduction or tapering of glucocorticoid treatment. When the decision for reduction of DMARD treatment is made together with the patient, a complete cessation bears a high risk of a flare, therefore, a careful step by step reduction of DMARD treatment should be preferred. In the case of a running combination, the question whether the conventional DMARD (mostly methotrexate), the biological (b)DMARD or targeted synthetic (ts)DMARD should be reduced first, must be decided on an individual basis. Most patients prefer to first reduce methotrexate and transfer to a monotherapy.

Proteomic Approaches to Defining Remission and the Risk of Relapse in Rheumatoid Arthritis

Objectives

Patients with Rheumatoid Arthritis (RA) are increasingly achieving stable disease remission, yet the mechanisms that govern ongoing clinical disease and subsequent risk of future flare are not well understood. We sought to identify serum proteomic alterations that dictate clinically important features of stable RA, and couple broad-based proteomics with machine learning to predict future flare.

Methods

We studied baseline serum samples from a cohort of stable RA patients (RETRO, n = 130) in clinical remission (DAS28<2.6) and quantified 1307 serum proteins using the SOMAscan platform. Unsupervised hierarchical clustering and supervised classification were applied to identify proteomic-driven clusters and model biomarkers that were associated with future disease flare after 12 months of follow-up and RA medication withdrawal. Network analysis was used to define pathways that were enriched in proteomic datasets.

Results

We defined 4 proteomic clusters, with one cluster (Cluster 4) displaying a lower mean DAS28 score (p = 0.03), with DAS28 associating with humoral immune responses and complement activation. Clustering did not clearly predict future risk of flare, however an XGboost machine learning algorithm classified patients who relapsed with an AUC (area under the receiver operating characteristic curve) of 0.80 using only baseline serum proteomics.

Conclusions

The serum proteome provides a rich dataset to understand stable RA and its clinical heterogeneity. Combining proteomics and machine learning may enable prediction of future RA disease flare in patients with RA who aim to withdrawal therapy.

18F-FDG PET-CT scanning in rheumatoid arthritis patients tapering TNFi: reliability, validity and predictive value

OBJECTIVES

To investigate the reliability and validity of 18F-FDG PET-CT scanning (FDG-PET) in rheumatoid arthritis (RA) patients with low disease activity tapering tumor necrosis factor inhibitors (TNFi) and its' predictive value for successful tapering or discontinuation.

METHODS

Patients in the tapering arm of the DRESS study, a randomized controlled trial on TNFi tapering in RA, underwent FDG-PET before tapering (baseline) and after maximal tapering. 48 joints per scan were scored: 1) visually (FDG-avid joint (FAJ) y/n), 2) quantitatively (maximal and mean standardized uptake values (SUVmax and SUVmean)). Interobserver agreement was calculated in 10 patients at baseline. Quantitative and visual FDG-PET scores were investigated for: 1) (multilevel) association with clinical parameters both on joint and patient level and 2) predictive value at baseline and change between baseline and maximal tapering (delta) for successful tapering and discontinuation at 18 months.

RESULTS

79 patients underwent FDG-PET. For performance of identification of FAJs on PET, Cohen's kappa was 0.49 (0.35-0.63). For SUVmax and SUVmean, ICCs were 0.80 (0.77-0.83) and 0.96 (0.9-1.0), respectively. On joint level, swelling was significantly associated with SUVmax and SUVmean (B coefficients with 95%CI 1.0 (0.73-1.35) and 0.2 (0.08-0.32) respectively). On patient level only correlation with acute phase reactants was found. FDG-PET scores were not predictive for successful tapering or discontinuation.

CONCLUSIONS

Quantitative FDG-PET arthritis scoring in RA patients with low disease activity is reliable and has some construct validity. However, no predictive values were found for FDG-PET parameters for successful tapering and/or discontinuation of TNFi.

Tumour necrosis factor inhibitor dose adaptation in psoriatic arthritis and axial spondyloarthritis (TAPAS): a retrospective cohort study

Objectives

We investigated the effect of disease activity-guided dose optimization (DAGDO) of TNF inhibitor (TNFi) on disease activity and TNFi dose in PsA and axial spondyloarthritis (axSpA) patients with low disease activity (LDA).

Methods

A retrospective cohort study was conducted in PsA and axSpA patients doing well on TNFi and eligible for TNFi DAGDO. Three different treatment periods were defined: (i) full dose continuation period, (ii) TNFi DAGDO period, and (iii) period with stable TNFi dose after DAGDO. A mixed-model analysis was used to estimate mean Disease Activity Score 28-joint count CRP (DAS28-CRP) and Bath Ankylosing Spondylitis Disease Activity Index (BASDAI) during these periods, and a mean percentage of the daily defined dose (%DDD) was calculated as secondary outcome.

Results

Three hundred and twenty-four patients (153 PsA and 171 axSpA) were included, with a mean of 6.5 DAS28-CRP and 6.4 BASDAI measurements and a median follow-up duration of 46 and 44 months, respectively. A corrected difference of 0.06 (95% CI: −0.09, 0.21) in mean DAS28-CRP was found for the TNFi DAGDO period and 0.03 (95% CI: −0.14, 0.20) for the period with stable TNFi dose, compared with full dose continuation period. Differences for BASDAI were 0.03 (95% CI: −0.21, 0.27) and 0.05 (95% CI: −0.24, 0.34), respectively. The mean %DDD for the three treatment periods was for PsA 108%, 62% and 78%, and for axSpA 108%, 62% and 72%, respectively.

Conclusion

DAGDO of TNFi reduces drug exposure and has no negative effects on disease activity in PsA and axSpA patients compared with full dose continuation.

Prediction of disease flare by biomarkers after discontinuing biologics in patients with rheumatoid arthritis achieving stringent remission

To elucidate the disease-flare process in rheumatoid arthritis (RA) after discontinuing biological disease-modifying antirheumatic drugs (bDMARDs), we first focused on RA-flare prediction after achieving stringent remission criteria. Patients with RA who maintained a simplified disease activity index ≤ 3.3 for ≥ 3 months during November 2014-January 2018 in our medical centre in Tokyo, Japan, were eligible. The primary endpoint was flare (disease activity score 28-erythrocyte sedimentation rate ≥ 3.2 with increase from baseline > 0.6) within 2 years after bDMARD discontinuation. Comprehensive clinical assessments, ultrasonographic evaluation of 40 joints, and blood sampling for 12 biomarkers were performed every 2-3 months for 2 years unless patients experienced flare. Flare-positive and flare-negative patients were compared using univariate and Kaplan-Meier analyses. Thirty-six patients (80.6% female, median disease duration, 5.2 years; median treatment period with discontinued bDMARD, 2 years; median remission duration, 18 months) were enrolled. Twenty patients (55.6%) experienced RA flare 43-651 (median, 115) days after the first skipped date of bDMARDs. Two patients who withdrew without disease flare were excluded from the comparison. Clinical and ultrasonographic evaluations did not show significant between-group differences; Kaplan-Meier analysis showed that higher baseline soluble tumour necrosis factor receptor 1 (sTNFR1) concentration impacted subsequent disease flare (p = 0.0041); higher baseline interleukin (IL)-2 concentration was exclusively beneficial to patients with lower sTNFR1 (p = 0.0058), resulting in remission maintenance in 83.3% of patients with lower sTNFR1 and higher IL-2. We demonstrated the usefulness of combined biomarker evaluation for predicting sustained remission after bDMARD discontinuation in RA.

Reduction of biologics in rheumatoid arthritis: a systematic review and meta-analysis

The effects of dose reduction or spacing of all types of biologics in rheumatoid arthritis has not been consistently assessed in systematic reviews. We aimed to assess the effects of biologics reduction compared with dose maintenance in patients with rheumatoid arthritis in low disease activity or remission. We performed a systematic review with meta-analysis according to a previously registered protocol (PROSPERO registration: CRD42017069080); and searched MEDLINE, Embase, Scopus, Cochrane Library and trial registers up to July, 2020. Two researchers selected, extracted and assessed the risk of bias of controlled trials that randomized patients to reduction/spacing or dose maintenance of biologics. Low disease activity, disability and other clinically important outcomes were summarized in random effect meta-analyses. We rated the certainty of evidence according to the Grading of Recommendations Assessment, Development, and Evaluation approach. We included ten studies (n = 1331 patients), which assessed reduction or spacing of abatacept, adalimumab, certolizumab pegol, etanercept, or tocilizumab. Risk of bias was high in over half of trials, mainly due to lack of blinding. No statistically significant difference was found in low disease activity (RR = 0.90; 95% CI 0.78-1.04; I² = 60%, very low certainty), and other outcomes. Subgroup analysis of blinded studies led to homogeneous results, which remained heterogeneous in open-label studies. Reduction or spacing biologics did not affect disease activity and other important outcome. Changes in the doses regimen should consider patient preferences, considering the low certainty of evidence.

Spacing the Administration Interval of Anti-TNF Agents: A Valid Strategy for Patients with Inflammatory Bowel Disease?

BACKGROUND

Increasing the interval of administration of anti-TNF agents over the duration specified in the data sheet is not common in inflammatory bowel disease (IBD).

AIM

To evaluate the outcomes of IBD patients treated with this strategy.

METHODS

Patients with IBD who were treated with infliximab or adalimumab at intervals > 8 weeks or > 2 weeks, respectively, because of persistent clinical remission, were identified at local databases of the ENEIDA registry (a nationwide registry promoted by the Spanish Working Group in Crohn's disease and Ulcerative Colitis-GETECCU) of two referral centers. Treatment success was considered if patients remained in clinical remission with the same schedule or without biological therapy at the end of follow-up, and if no return to the conventional schedule, dose-escalation, change in biological agent, or a course of systemic corticosteroids or surgery were required.

RESULTS

Eighty-five patients were included, 60 treated with infliximab and 25 with adalimumab. The spaced schedule was initiated after a median of 25 months on anti-TNF treatment (IQR 14-49). Throughout a median follow-up of 34 months (IQR 21-47), fifty patients (59%) fulfilled the success criteria of the spaced strategy. No differences were found regarding type of IBD or anti-TNF agent. Baseline C-reactive protein levels and disease duration at the time of starting anti-TNF treatment were the only factors associated with treatment success.

CONCLUSIONS

Anti-TNF administration at longer intervals than those provided in the data sheet may be an efficacious, convenient, and cheaper treatment option, particularly in patients in whom anti-TNF treatment was initiated early.

Predictors of successful discontinuation of biologic and targeted synthetic DMARDs in patients with rheumatoid arthritis in remission or low disease activity: a systematic literature review

OBJECTIVE

To systematically review possible predictors of successful discontinuation of biologic or targeted synthetic DMARDs (b/tsDMARDs) in RA patients in remission or low disease activity.

METHODS

MEDLINE database and Cochrane Library were scanned for studies that discontinued b/tsDMARDs in remission/low disease activity and searched for predictors of successful discontinuation. Additionally, EULAR and ACR meeting abstracts were hand searched.

RESULTS

Thirty-four studies with a total of 5724 patients were included. Predictors of successful b/tsDMARD discontinuation were (number of studies): low disease activity (n = 13), better physical function (n = 6), low or absence of rheumatoid factor (n = 5) or ACPA (n = 3), low levels of CRP (n = 3) or ESR (n = 3), shorter disease duration (n = 3), low signals of disease activity by ultrasound (n = 3). Only one study with high risk of bias was identified on tsDMARD discontinuation.

CONCLUSION

Several predictors of successful bDMARD discontinuation were identified. Although studies are heterogeneous, these predictors may inform clinical decision making in patients who are considered for a potential bDMARD discontinuation.

EULAR recommendations for the management of rheumatoid arthritis with synthetic and biological disease-modifying antirheumatic drugs: 2019 update

OBJECTIVES

To provide an update of the European League Against Rheumatism (EULAR) rheumatoid arthritis (RA) management recommendations to account for the most recent developments in the field.

METHODS

An international task force considered new evidence supporting or contradicting previous recommendations and novel therapies and strategic insights based on two systematic literature searches on efficacy and safety of disease-modifying antirheumatic drugs (DMARDs) since the last update (2016) until 2019. A predefined voting process was applied, current levels of evidence and strengths of recommendation were assigned and participants ultimately voted independently on their level of agreement with each of the items.

RESULTS

The task force agreed on 5 overarching principles and 12 recommendations concerning use of conventional synthetic (cs) DMARDs (methotrexate (MTX), leflunomide, sulfasalazine); glucocorticoids (GCs); biological (b) DMARDs (tumour necrosis factor inhibitors (adalimumab, certolizumab pegol, etanercept, golimumab, infliximab), abatacept, rituximab, tocilizumab, sarilumab and biosimilar (bs) DMARDs) and targeted synthetic (ts) DMARDs (the Janus kinase (JAK) inhibitors tofacitinib, baricitinib, filgotinib, upadacitinib). Guidance on monotherapy, combination therapy, treatment strategies (treat-to-target) and tapering on sustained clinical remission is provided. Cost and sequencing of b/tsDMARDs are addressed. Initially, MTX plus GCs and upon insufficient response to this therapy within 3 to 6 months, stratification according to risk factors is recommended. With poor prognostic factors (presence of autoantibodies, high disease activity, early erosions or failure of two csDMARDs), any bDMARD or JAK inhibitor should be added to the csDMARD. If this fails, any other bDMARD (from another or the same class) or tsDMARD is recommended. On sustained remission, DMARDs may be tapered, but not be stopped. Levels of evidence and levels of agreement were mostly high.

CONCLUSIONS

These updated EULAR recommendations provide consensus on the management of RA with respect to benefit, safety, preferences and cost.

Dose reduction and withdrawal strategy for TNF-inhibitors in psoriatic arthritis and axial spondyloarthritis: design of a pragmatic open-label, randomised, non-inferiority trial

BACKGROUND

Tumour necrosis factor inhibitors (TNFi) are effective in the treatment of patients with spondyloarthritis (SpA), including psoriatic arthritis (PsA) and axial spondyloarthritis (axSpA). However, these drugs come with some disadvantages such as adverse events, practical burden for patients and high costs. Dose optimisation of TNFi after patients have reached low disease activity (LDA) has been shown feasible and safe in rheumatoid arthritis (RA). However, data on TNFi dose optimisation in PsA and axSpA are scarce, especially pragmatic, randomised strategy studies.

METHODS

We developed an investigator-driven, pragmatic, open-label, randomised, controlled, non-inferiority trial (DRESS-PS) to compare the effects of a disease activity-guided treat-to-target strategy with or without a tapering attempt in patients with SpA (PsA and axSpA combined), ≥ 16 years of age, who are being treated with TNFi, and have had at least 6 months of low disease activity. The primary outcome is the percentage of patients in LDA after 12 months of follow up. Patients are assessed at baseline, 3, 6, 9, and 12 months of follow up. Bayesian power analyses with a weakened prior based on a similar study performed in RA resulted in a sample size of 95 patients in total.

DISCUSSION

More knowledge on disease activity-guided treatment algorithms would contribute to better treatment choices and cost savings and potentially decrease the risk of side effects. In this article we elucidate some of our design choices on TNFi dose optimisation and its clinical and methodological consequences.

TRIAL REGISTRATION

Dutch Trial Register, NL6771. Registered on 27 November 2018 (CMO NL66181.091.18, 23 October 2018).

Adalimumab drug and antidrug antibody levels do not predict flare risk after stopping adalimumab in RA patients with low disease activity

OBJECTIVE

To establish whether serum adalimumab (ADA) trough level (ADA-TL) and antidrug antibody (ADA-ab) level predict flare after stopping ADA in established RA patients with long-standing low disease activity.

METHODS

From the clinical trial Potential Optimalisation and Effectiveness of TNF-blockers, 210 RA patients stopping ADA, who had been using ADA (40 mg/2 weeks) for >1 year with conventional synthetic DMARDs and who had low disease activity (DAS28 < 3.2, or the rheumatologist's assessment of low disease activity with CRP < 10 mg/l) for at least 6 months prior to stopping, were followed for 1 year. The ADA-TL was measured (by ELISA) 12-17 days after the last ADA injection; if it was low, ADA-abs were measured (by an antigen-binding test). Association between time-to-flare and ADA-TL was evaluated by area under the receiver operating characteristic curve and Cox regression.

RESULTS

A total of 106 (51%) patients flared within 1 year after stopping ADA. The area under the receiver operating characteristic curve for flare and ADA-TL was 0.50 (95% CI 0.42-0.58), P = 0.92. The hazard ratio for flare for ADA-TL ⩾ 5 μg/ml (adequate level) vs <5 μg/ml was 0.93 (95% CI: 0.63-1.36) (not significant). Of the 4 patients with high ADA-ab levels, 2 patients (50%) experienced a flare.

CONCLUSION

Flare risk within the year following stopping ADA is not predicted by the ADA-TL or ADA-abs assessed at the moment of stopping.

TRIAL REGISTRATION

Netherlands Trial Register, http://www.trialregister.nl, NTR3112.

Relapse in rheumatoid arthritis patients undergoing dose reduction and withdrawal of biologics: are predictable factors more relevant than predictive parameters? An observational prospective real-life study

OBJECTIVE

To determine predictive/predictable factors of relapse in rheumatoid arthritis (RA) patients undergoing biologic Disease-Modifying Anti-Rheumatic Drugs (bDMARDs) dose reduction/discontinuation.

PATIENTS AND METHODS

RA patients receiving the same bDMARD for more than 1 year, in Simplified Disease Activity Index (SDAI) remission, were selected in an observational monocentric real-life study. The 18-month follow-up included spacing (6 months) and withdrawal (12 months) periods of bDMARD. Clinical, biological and ultrasonographic (US) parameters were collected regularly. Relapse was defined by SDAI>11.

RESULTS

Fifty-three RA patients (mean age: 58 years; 72% women; median duration: 11 years) were enrolled. Forty-two received anti-cytokinic bDMARD targeting tumour necrosis factor (n=39) or interleukin-6R (n=3) and 11 were treated by abatacept. The number of relapses during the spacing and discontinuation periods were 19 and 20, respectively. After 18 months of follow-up, among the 53 patients, 12 maintained bDMARD-free remission, 39 had relapsed and 2 were lost of follow-up. Median time to relapse was 11.8 months. In multivariate analysis, baseline factors predictive of relapse were corticosteroid intake, female gender, longer disease duration and no methotrexate intake with bDMARD. Concerning the survival analysis, also taking into account the factors of predictability, the main risk factor of relapse after discontinuation was an increase of SDAI >0 during the spacing period (p=0.03). US findings were not contributive.

CONCLUSION

In the context of RA in remission under bDMARDs, variation of SDAI during the dose-reduction phase is more relevant than baseline parameters to predict success of drug withdrawal.

Treatment Withdrawal Following Remission in Juvenile Idiopathic Arthritis: A Systematic Review of the Literature

BACKGROUND

Early diagnosis and treatment of juvenile idiopathic arthritis (JIA) with conventional and biologic disease-modifying anti-rheumatic drugs have vastly improved outcomes for children with these diseases. Currently, a large proportion of children with JIA are able to achieve clinical inactive disease and remission. With this success, important questions have arisen about when medications can be stopped and how to balance the risks and benefits of continuing medications versus the potential for flare after stopping.

AIM

The aim was to conduct a systematic review of the available literature to summarize current evidence about medication withdrawal for JIA in remission.

METHODS

We conducted a systematic literature search in PubMed and Embase from 1990 to 2019. References were first screened by title and then independently screened by title and abstract by two authors. A total of 77 original papers were selected for full-text review. Data were extracted from 30 papers on JIA and JIA-associated uveitis, and the quality of the evidence was evaluated using National Institutes of Health (NIH)/National Heart, Lung, and Blood Institute (NHLBI) tools. Studies on biochemical and radiologic biomarkers were also reviewed and summarized.

RESULTS

Most studies investigating treatment withdrawal in JIA have been observational and of poor or fair quality; interpretations of these studies have been limited by differences in study populations, disease and remission durations, the medications withdrawn, approaches to withdrawal, and definitions of disease outcomes. Overall the data suggest that flares are common after stopping JIA medications, particularly biologic medications. Clinical characteristics associated with increased risks of flare have not been consistently identified. Biochemical biomarkers and ultrasound findings have been shown to predict outcomes after stopping medications, but to date, no such predictor has been consistently validated across JIA populations. Studies have also not identified optimal strategies for withdrawing medication for well-controlled JIA. Promising withdrawal strategies include discontinuing methotrexate before biologic medications in children receiving combination therapy, dose reduction for children on biologics, and treat-to-target approaches to withdrawal. These and other strategies require further investigation in larger, high-quality studies.

CONCLUSIONS

The published literature on treatment withdrawal in JIA has varied in design and quality, yielding little conclusive evidence thus far on the management of JIA in remission. Given the importance of this question, international collaborative efforts are underway to study clinical and biologic predictors of successful medication withdrawal in JIA. These efforts may ultimately support the development of personalized approaches to withdrawing medication in children with JIA in remission.

Increased adenosine-to-inosine RNA editing in rheumatoid arthritis

Objective

Adenosine-to-inosine (A-to-I) RNA editing of Alu retroelements is a primate-specific mechanism mediated by adenosine deaminases acting on RNA (ADARs) that diversifies transcriptome by changing selected nucleotides in RNA molecules. We tested the hypothesis that A-to-I RNA editing is altered in rheumatoid arthritis (RA).

Methods

Synovium expression analysis of ADAR1 was investigated in 152 RA patients and 50 controls. Peripheral blood mononuclear cells derived from 14 healthy subjects and 19 patients with active RA at baseline and after 12-week treatment were examined for ADAR1p150 and ADAR1p110 isoform expression by RT-qPCR. RNA editing activity was analysed by AluSx⁺ Sanger-sequencing of cathepsin S, an extracellular matrix degradation enzyme involved in antigen presentation.

Results

ADAR1 was significantly over-expressed in RA synovium regardless of disease duration. Similarly, ADAR1p150 isoform expression was significantly increased in the blood of active RA patients. Individual nucleotide analysis revealed that A-to-I RNA editing rate was also significantly increased in RA patients. Both baseline ADAR1p150 expression and individual adenosine RNA editing rate of cathepsin S AluSx⁺ decreased after treatment only in those patients with good clinical response. Upregulation of the expression and/or activity of the RNA editing machinery were associated with a higher expression of edited Alu-enriched genes including cathepsin S and TNF receptor-associated factors 1,2,3 and 5.

Conclusion

A previously unrecognized regulation and role of ADAR1p150-mediated A-to-I RNA editing in post-transcriptional control in RA underpins therapeutic response and fuels inflammatory gene expression, thus representing an interesting therapeutic target.

•

The RNA editing enzyme ADAR1 is increased in rheumatoid arthritis.

•

ADAR1-induced Alu A-to-I RNA editing is increased in active RA and decreases after treatment only in responding patients.

•

Association of increased A-to-I RNA editing with pro-inflammatory gene expression suggests a role in chronic inflammation.

•

Interrupting the pro-inflammatory ADAR1p150-induced Alu RNA editing may comprise an interesting therapeutic target in RA.

Tapering biologic therapy for people with rheumatoid arthritis in remission: A review of patient perspectives and associated clinical evidence

OBJECTIVES

Biologic therapies have increased the control of disease activity in rheumatoid arthritis (RA). Questions remain about tapering biologics when remission is achieved in RA. The patient perspective has to be incorporated in pragmatic applications of tapering but is rarely accounted for in clinical studies of tapering. The aim of the present review was to summarize the evidence about RA patient perspectives on biologic tapering.

METHODS

We provided a narrative summary of the currently small body of research on patient perspectives retrieved through systematic searches with an emphasis on seeking qualitative research. In addition, we provided an update on relevant clinical research and financial considerations that frame the findings on patient perspectives.

RESULTS

Financial considerations around commencing/continuing on biologic therapies in RA vary internationally and have implications for patient perspectives. Recent clinical studies indicate that the benefit of tapering biologic therapy when in remission are predicted by drug concentration and aspects of disease activity, severity and duration. Three major concerns have been identified from studies of patient perspectives on biologic tapering: (a) disease relapse; (b) access to treatment in the case of disease flare when tapering; and (c) local motivation for dose reduction (i.e., driven by funding or health benefit).

CONCLUSIONS

More research is needed on tapering biologics, and should include studies of patient perspectives as well as health economic evaluations. Patient decision aids are a potential way of applying clinical and patient-focused evidence to help all parties come to a decision, but require developmental research and pragmatic evaluation.

Dosage reduction and discontinuation of biological disease-modifying antirheumatic drugs in patients with rheumatoid arthritis, psoriatic arthritis and axial spondyloarthritis: protocol for a pragmatic, randomised controlled trial (the BIOlogical Dose OPTimisation (BIODOPT) trial)

INTRODUCTION

The The BIOlogical Dose OPTimisation (BIODOPT) trial is a pragmatic, multicentre, randomised controlled, open-label, parallel-group, equivalence study designed to evaluate tapering of biological disease-modifying antirheumatic drugs (bDMARDs) in patients with rheumatoid arthritis (RA), psoriatic arthritis (PsA) and axial spondyloarthritis (axSpA) in sustained clinical remission or low disease activity (LDA). Traditionally, these patients maintain standard dosage of bDMARD lifelong; however, recent studies indicate that a significant proportion of patients in sustained remission or LDA can taper their bDMARD and maintain stable disease activity. Thus, this trial aims to evaluate whether a disease activity-guided tapering strategy for bDMARDs will enable a significant dosage reduction while maintaining disease activity compared with usual care. From the individual patient's standpoint as well as from a societal perspective, it would be advantageous if bDMARDs could be reduced or even discontinued while maintaining disease activity.

METHODS AND ANALYSIS

A total of 180 patients with RA, PsA or axSpA treated with bDMARDs and in clinical remission/LDA during the past 12 months will be enrolled from four centres in Denmark. Patients will be randomised in a ratio of 2:1 to either disease activity-guided tapering of bDMARDs (intervention group) or continuation of bDMARDs as usual care (control group).The primary objective is the difference between the two groups in the proportion of patients who have reduced their inclusion dosage of bDMARDs to 50% or less while maintaining stable disease activity at 18 months follow-up.

ETHICS AND DISSEMINATION

The study is approved by the ethics committee of Northern Jutland, Denmark (N-20170073) and by the Danish Medicine Agency. Patient research partner KHH contributed to refinement of the protocol and approved the final manuscript. Results will be disseminated through publication in international peer-reviewed journals.

TRIAL REGISTRATION NUMBER

2017-001970-41; Pre-results.

Cost-effectiveness of five different anti-tumour necrosis factor tapering strategies in rheumatoid arthritis: a modelling study

Objective: To investigate the cost-effectiveness of five different tumour necrosis factor inhibitor tapering strategies in patients with rheumatoid arthritis (RA) and stable low disease activity, using a modelling design.Method: Using Markov models based on data from the DRESS and STRASS randomized controlled trials, and the Nijmegen RA cohort, five tapering strategies for etanercept and adalimumab were tested against continuation: 1, four-step tapering (DRESS strategy); 2, five-step tapering; 3, tapering without withdrawal; 4, use of a stricter flare criterion; and 5, use of a theoretical predictor for successful tapering. We also examined how well a biomarker should be able to predict in order for strategy 5 to become cost-effective compared to the other strategies.Results: All examined tapering strategies were cost saving (range: EUR 5128 to 7873) but yielded more short-lived flares compared to continuation. The change in utilities compared to continuation was minimal and not clinically relevant (range: -0.005 to 0.007 quality-adjusted life-years). Strategy 1 was cost-effective compared to all other strategies [highest incremental net monetary benefit (iNMB)]. However, there was a large overlap in credible intervals, especially between strategies 1 and 2. Scenario analyses showed that 50% reduction of drug prices would result in the highest iNMB for strategy 2. A biomarker only becomes cost-effective when it is inexpensive and has a sensitivity and specificity of at least 84%.Conclusion: Because our study showed a comparable iNMB for tapering in four or five steps (including discontinuation), we recommend a choice between these strategies, based on shared decision making.

Predictors of biologic-free disease control in patients with rheumatoid arthritis after stopping tumor necrosis factor inhibitor treatment

Background

The aim of this study was to identify predictors of prolonged disease control after discontinuation of tumor necrosis factor inhibitor (TNFi) treatment in patients with rheumatoid arthritis (RA).

Methods

Post-hoc analysis of 439 RA patients (67.3% rheumatoid factor positive) with longstanding RA in remission or with stable low disease activity, randomized to stopping TNFi treatment in the multicenter POET trial. Prolonged acceptable disease control was defined as not restarting TNFi treatment within 12 months after stopping. Baseline demographic and disease-related variables were included in univariate and multivariate logistic regression analysis for identifying predictors of relapse.

Results

One year after baseline, 220 patients (50.1%) had not restarted TNFi treatment. Use of an anti-TNF monoclonal antibody (versus a receptor antagonist, OR = 2.41; 95% CI: 1.58–3.67), ≤10 yrs. disease duration (OR = 2.15; 95% CI: 1.42–3.26) and low or moderate multi-biomarker disease activity (MBDA) scores (OR = 2.00; 95% CI: 1.10–3.64) at baseline were independently predictive of successful TNFi discontinuation (area under the receiver operating characteristic curve = 0.66; 95% CI: 0.61–0.71). Results were similar when using no physician-reported flare as the criterion. TNFi-free survival was significantly different for patient groups based on the number of predictors present, ranging from 21.4% of patients with no predictor present to 66.7% of patients with all three predictors present.

Conclusion

Patients using an anti-TNF monoclonal antibody, with shorter disease duration and low or moderate baseline MBDA score are most likely to achieve prolonged disease control after TNFi discontinuation.

Trial registration

Netherlands Trial Register NTR3112, 21 October 2011.

Electronic supplementary material

The online version of this article (10.1186/s41927-019-0071-x) contains supplementary material, which is available to authorized users.

Down-titration and discontinuation strategies of tumour necrosis factor-blocking agents for rheumatoid arthritis in patients with low disease activity

BACKGROUND

Anti-tumour necrosis factor (TNF) agents are effective in treating people with rheumatoid arthritis (RA), but are associated with (dose-dependent) adverse effects and high costs. To prevent overtreatment, several trials have assessed the effectiveness of down-titration compared with continuation of the standard dose. This is an update of a Cochrane Review published in 2014.

OBJECTIVES

To evaluate the benefits and harms of down-titration (dose reduction, discontinuation, or disease activity-guided dose tapering) of anti-TNF agents on disease activity, functioning, costs, safety, and radiographic damage compared with usual care in people with RA and low disease activity.

SEARCH METHODS

We searched MEDLINE, Embase, Web of Science and CENTRAL (29 March 2018) and four trial registries (11 April 2018) together with reference checking, citation searching, and contact with study authors to identify additional studies. We screened conference proceedings (American College of Rheumatology and European League Against Rheumatism 2005-2017).

SELECTION CRITERIA

Randomised controlled trials (RCTs) and controlled clinical trials (CCTs) comparing down-titration (dose reduction, discontinuation, disease activity-guided dose tapering) of anti-TNF agents (adalimumab, certolizumab pegol, etanercept, golimumab, infliximab) to usual care/no down-titration in people with RA and low disease activity.

DATA COLLECTION AND ANALYSIS

We used standard Cochrane methodology.

MAIN RESULTS

One previously included trial was excluded retrospectively in this update because it was not an RCT/CCT. We included eight additional trials, for a total of 14 studies (13 RCTs and one CCT, 3315 participants in total) reporting anti-TNF down-titration. Six studies (1148 participants) reported anti-TNF dose reduction compared with anti-TNF continuation. Eight studies (2111 participants) reported anti-TNF discontinuation compared with anti-TNF continuation (three studies assessed both anti-TNF discontinuation and dose reduction), and three studies assessed disease activity-guided anti-TNF dose tapering (365 participants). These studies included data on all anti-TNF agents, but primarily adalimumab and etanercept. Thirteen studies were available in full text, one was available as abstract. We assessed the included studies generally at low to moderate risk of bias; our main concerns were bias due to open-label treatment and unblinded outcome assessment. Clinical heterogeneity between the trials was high. The included studies were performed at clinical centres around the world and included people with early as well as established RA, the majority of whom were female with mean ages between 47 and 60. Study durations ranged from 6 months to 3.5 years.We found that anti-TNF dose reduction leads to little or no difference in mean disease activity score (DAS28) after 26 to 52 weeks (high-certainty evidence, mean difference (MD) 0.06, 95% confidence interval (CI) -0.11 to 0.24, absolute risk difference (ARD) 1%) compared with continuation. Also, anti-TNF dose reduction does not result in an important deterioration in function after 26 to 52 weeks (Health Assessment Questionnaire Disability Index (HAQ-DI)) (high-certainty evidence, MD 0.09, 95% CI 0.00 to 0.19, ARD 3%). Next to this, anti-TNF dose reduction may slightly reduce the proportion of participants switched to another biologic (low-certainty evidence), but probably slightly increases the proportion of participants with minimal radiographic progression after 52 weeks (moderate-certainty evidence, risk ratio (RR) 1.22, 95% CI 0.76 to 1.95, ARD 2% higher). Anti-TNF dose reduction may cause little or no difference in serious adverse events, withdrawals due to adverse events and proportion of participants with persistent remission (low-certainty evidence).Results show that anti-TNF discontinuation probably slightly increases the mean disease activity score (DAS28) after 28 to 52 weeks (moderate-certainty evidence, MD 0.96, 95% CI 0.67 to 1.25, ARD 14%), and that the RR of persistent remission lies between 0.16 and 0.77 (low-certainty evidence). Anti-TNF discontinuation increases the proportion participants with minimal radiographic progression after 52 weeks (high-certainty evidence, RR 1.69, 95% CI 1.10 to 2.59, ARD 7%) and may lead to a slight deterioration in function (HAQ-DI) (low-certainty evidence). It is uncertain whether anti-TNF discontinuation influences the number of serious adverse events (due to very low-certainty evidence) and the number of withdrawals due to adverse events after 28 to 52 weeks probably increases slightly (moderate-certainty evidence, RR 1.46, 95% CI 0.75 to 2.84, ARD 1% higher).Anti-TNF disease activity-guided dose tapering may result in little or no difference in mean disease activity score (DAS28) after 72 to 78 weeks (low-certainty evidence). Furthermore, anti-TNF disease activity-guided dose tapering results in little or no difference in the proportion of participants with persistent remission after 18 months (high-certainty evidence, RR 0.89, 95% CI 0.75 to 1.06, ARD -9%) and may result in little or no difference in switching to another biologic (low-certainty evidence). Anti-TNF disease activity-guided dose tapering may slightly increase proportion of participants with minimal radiographic progression (low-certainty evidence) and probably leads to a slight deterioration of function after 18 months (moderate-certainty evidence, MD 0.2 higher, 0.02 lower to 0.42 higher, ARD 7% higher), It is uncertain whether anti-TNF disease activity-guided dose tapering influences the number of serious adverse events due to very low-certainty evidence.

AUTHORS' CONCLUSIONS

We found that fixed-dose reduction of anti-TNF, after at least three to 12 months of low disease activity, is comparable to continuation of the standard dose regarding disease activity and function, and may be comparable with regards to the proportion of participants with persistent remission. Discontinuation (also without disease activity-guided adaptation) of anti-TNF is probably inferior to continuation of treatment with respect to disease activity, the proportion of participants with persistent remission, function, and minimal radiographic damage. Disease activity-guided dose tapering of anti-TNF is comparable to continuation of treatment with respect to the proportion of participants with persistent remission and may be comparable regarding disease activity.Caveats of this review are that available data are mainly limited to etanercept and adalimumab, the heterogeneity between studies, and the use of superiority instead of non-inferiority designs.Future research should focus on the anti-TNF agents infliximab and golimumab; assessment of disease activity, function, and radiographic outcomes after longer follow-up; and assessment of long-term safety, cost-effectiveness, and predictors for successful down-titration. Also, use of a validated flare criterion, non-inferiority designs, and disease activity-guided tapering instead of fixed-dose reduction or discontinuation would allow researchers to better interpret study findings and generalise to clinical practice.

Therapeutic drug monitoring of biologicals in rheumatoid arthritis: a disconnect between beliefs and facts

PURPOSE OF REVIEW

To give an overview of recently published articles covering therapeutic drug monitoring (TDM) of biological DMARDs (bDMARDs) in rheumatoid arthritis.

RECENT FINDINGS

In the last 18 months, two clinical studies and nine reviews were found after a systematic literature search. Most (narrative) reviews conclude that TDM should be used to improve biological treatment in rheumatoid arthritis patients, whereas most of the clinical studies (including 13 studies identified earlier) whenever scrutinized do not support this conclusion. This disconnect between sobering data from prediction studies and test-treatment diagnostic studies and optimistic TDM beliefs in reviews is caused by failure to recognize incorrect study designs, false positives because of lack of validation after explorative multiple testing, cherry picking of studies, and incorrect interpretation of test characteristics.

SUMMARY

Serum (anti)-drug level monitoring has been extensively studied in rheumatoid arthritis, but correctly designed and executed interventional prediction studies or test-treatment intervention studies are sparse and mostly negative. In contrast, many reviews advocate use of biological TDM in rheumatoid arthritis. On the basis of current evidence, therapeutic drug monitoring of biologicals cannot be recommended in the treatment of rheumatoid arthritis patients, although two clinical scenarios deserve further study.

Non-medical Switching from Originator Tumor Necrosis Factor Inhibitors to Their Biosimilars: Systematic Review of Randomized Controlled Trials and Real-World Studies

Tumor necrosis factor (TNF) inhibitors are widely used biologics for the treatment of several chronic inflammatory diseases. The launch of anti-TNF biosimilars has introduced the possibility of non-medical switching between originator biologics and their biosimilars. However, the potential clinical and patient-reported consequences of non-medical switching remain largely unknown, as much of the evidence comes from poorly or uncontrolled real-world evidence (RWE) studies that often have an element of bias and nonstandardized outcome measures. To appropriately evaluate the safety, efficacy, and immunogenicity of non-medical switching from an originator to its biosimilar, we propose that seven key study design elements should be considered when assessing the existing evidence: studies should be (1) randomized and double-blind, (2) adequately controlled, and (3) adequately powered; include (4) multiple switching, (5) an assessment of immunogenicity, and (6) adequate follow-up duration; and (7) report individual patient-level outcomes. This systematic review assessed the robustness and consistency of the current non-medical switching evidence, with a focus on TNF inhibitors. A comprehensive literature search (January 2012-February 2018) identified 98 publications corresponding to 91 studies (17 randomized controlled trials and 74 RWE studies) describing non-medical switching from a TNF inhibitor originator to its biosimilar. When assessing the totality of this evidence, none of the non-medical switching studies conducted to date were found to use all seven of the key design elements, and the absence of these elements dilutes the robustness of the data. Furthermore, discontinuation rates varied widely among studies (0-87%), suggesting heterogeneity and inconclusiveness of the current efficacy, safety, and immunogenicity evidence, particularly at an individual patient level. Therefore, patients should not be indiscriminately switched from an originator TNF inhibitor to its biosimilar for non-medical reasons. Switching decisions should remain between the treating physicians and their patients and be made on a case-by-case basis, relying upon robust scientific evidence.

FUNDING

AbbVie.Plain Language Summary: Plain language summary available for this article.

RHEUMATOID ARTHRITIS: THE PROBLEMS OF REMISSION AND THERAPY RESISTANCE

Rheumatoid arthritis (RA) is an immunoinflammatory (autoimmune) rheumatic disease of unknown etiology, which is characterized by chronic erosive arthritis and systemic visceral organ damage that results in early disability and shorter patient survival. Despite RA treatment advances associated with the design of novel drugs and the improvement of treatment strategies to achieve remission in many patients, there are still many theoretical and clinical problems concerning both the definition of the concept of remission, its characteristics and types and approaches to the optimum policy of symptomatic and pathogenetic drug therapy at different stages of the disease, the use of which will be able to rapidly induce and maintain remission in the long-term. Further investigations are needed to study the nature of heterogeneity of pathogenetic mechanisms of RA and approaches to early diagnosis, to improve methods for monitoring disease activity and biomarkers for the efficiency of and resistance to therapy and, finally, to develop differentiation therapy, including those related to a search for new therapeutic targets.

[Upcoming value of gene expression analysis in rheumatology]

Rheumatoid arthritis (RA) is a chronic inflammatory disease of unknown etiology, which involves disturbance in immune system signaling pathway functions, damage of other tissues, pain and joint destruction. Modern treatment attempts to improve pathophysiological and biochemical mechanisms damaged by the disease. However, due to the RA patient heterogeneity personalized approach to treatment is required; the choice of personalized treatment is complicated by the variability of patient's response to treatment. Gene expression analysis might serve a tool for the disease control and therapy personification for inhibition of inflammation and pain as well as for prevention of joint destruction.

Mental health, fatigue and function are associated with increased risk of disease flare following TNF inhibitor tapering in patients with rheumatoid arthritis: an exploratory analysis of data from the Optimizing TNF Tapering in RA (OPTTIRA) trial

Background

Tapering of anti-tumour necrosis factor (TNF) therapy appears feasible, safe and effective in selected patients with rheumatoid arthritis (RA). Depression is highly prevalent in RA and may impact on flare incidence through various mechanisms. This study aims to investigate if psychological states predict flare in patients' dose tapering their anti-TNF therapy.

Methods

This study is a post-hoc analysis of the Optimizing TNF Tapering in RA trial, a multicentre, randomised, open-label study investigating anti-TNF tapering in RA patients with sustained low disease activity. Patient-reported outcomes (Health Assessment Questionnaire, EuroQol 5-dimension scale, Functional Assessment of Chronic Illness Therapy fatigue scale (FACIT-F), 36-Item Short Form Survey (SF-36)) were collected at baseline. The primary outcome was flare, defined as an increase in 28-joint count Disease Activity Score (DAS28) ≥0.6 and ≥1 swollen joint. Discrete-time survival models were used to identify patient-reported outcomes that predict flare.

Results

Ninety-seven patients were randomised to taper their anti-TNF dose by either 33% or 66%. Forty-one patients flared. Higher baseline DAS28 score was associated with flare (adjusted HR 1.96 (95% CI 1.18 to 3.24), p=0.01). Disability (SF-36 physical component score), fatigue (FACIT-F) and mental health (SF-36 mental health subscale (MH)) predicted flare in unadjusted models. In multivariate analyses, only SF-36 MH remained a statistically significant predictor of flare (adjusted HR per 10 units 0.74 (95% CI 0.60 to 0.93), p=0.01).

Conclusions

Baseline DAS28 and mental health status are independently associated with flare in patients who taper their anti-TNF therapy. Fatigue and function also associate with flare but the effect disappears when adjusting for confounders. Given these findings, mental health and functional status should be considered in anti-TNF tapering decisions in order to optimise the likelihood of success.

Trial registration numbers

EudraCT Number: 2010-020738-24; ISRCTN: 28955701; Post-results.

Abatacept and tocilizumab tapering in rheumatoid arthritis patients: results of SONATA-a retrospective, exploratory cohort study

Objectives

As data on disease-activity-guided dose optimization of abatacept and tocilizumab are scarce, we explored the feasibility, effectiveness and safety of dose optimization of these biological DMARDs in RA patients in daily practice.

Methods

RA patients who had been treated with abatacept or tocilizumab for ≥6 months, with DAS28 <3.2, were included. Four groups were identified: abatacept dose reduction (DR) and usual care (UC), and tocilizumab DR and UC. Successful DR and discontinuation entailed being on a lower dose than at baseline or having discontinued abatacept or tocilizumab, while maintaining disease activity score with ESR using 28 joint count (DAS28) <3.2. Proportions of patients with successful DR or discontinuation at 12 months were described. Maintenance of DR was investigated using Kaplan-Meier curves. Between-group differences in mean DAS28 and Health assessment questionnaire disability index (HAQ-DI) change (Δ) over 6 and 12 months were estimated.

Results

One hundred and nineteen patients were included. DR was attempted in 13 of 28 (46%; 95% CI: 28, 66%) abatacept and 64 of 91 (70%; 95% CI: 60, 79%) tocilizumab patients. At 12 months, 3 of 11 (27%; 95% CI: 6, 61%) abatacept and 20 of 48 (42%; 95% CI: 28, 57%) tocilizumab patients were successfully tapered. One of 11 (9%; 95% CI: 0, 41%) abatacept and 5 of 48 (10%; 95% CI: 3, 23%) tocilizumab patients were successfully discontinued. Mean ΔDAS28 and ΔHAQ-DI at months 6 and 12 were not significantly different between DR and UC. For tocilizumab, DAS28 was significantly higher in the DR compared with the UC group at 6 months. Adverse events were comparable between groups.

Conclusion

Abatacept and tocilizumab DR appears to be feasible and safe in clinical practice. No benefits in terms of fewer adverse events in the DR group were observed. Furthermore, DR was suboptimal, because all patients were eligible for DR, but in a substantial number of patients no DR was attempted.

Predictive value of serum calprotectin (S100A8/A9) for clinical response after starting or tapering anti-TNF treatment in patients with rheumatoid arthritis

Objectives

Calprotectin (S100A8/A9) has been correlated with disease activity in rheumatoid arthritis (RA). The aim of this study was to investigate the predictive value of serum calprotectin for clinical response after starting and tapering anti-tumour necrosis factor treatment in RA.

Methods

Serum samples and clinical outcomes were derived from two longitudinal RA studies.

At baseline (starting or tapering of adalimumab or etanercept), calprotectin levels were determined by ELISA. In the Biologic Individual Optimised Treatment Outcome Prediction (BIO-TOP) study, treatment effect was assessed after 6 months using the European League Against Rheumatism (EULAR) response criteria. In the Dose Reduction Strategies of Subcutaneous TNF Inhibitors (DRESS) study, patients were classified at 18 months as being successfully dose reduced, discontinued or not able to reduce the dose. Area under the receiver operating characteristic curves (AUC) were generated to evaluate the predictive value of calprotectin and logistic prediction models were created to assess its added value.

Results

In the BIO-TOP study, calprotectin levels were higher in responders (n=50: 985 ng/mL (p25–p75: 558–1417)) compared with non-responders (n=75: 645 ng/mL (p25–p75: 415–973), p=0.04).

AUC for predicting EULAR good response was 0.61 (95% CI 0.50 to 0.71). The prediction model with calprotectin (AUC 0.77, 95% CI 0.68 to 0.85) performed similarly to the baseline model (AUC 0.74, 95% CI 0.65 to 0.82, p=0.29). In the DRESS study, calprotectin levels were similar between the three groups (n=47; n=19; n=36) and calprotectin was not predictive for clinical response after tapering.

Conclusions

Serum calprotectin has some predictive value for clinical response after starting anti-TNF treatment, although it has no added value to other clinical factors. In patients with low disease activity, serum calprotectin is not predictive for clinical response after tapering anti-TNF treatment.

Trial registration number

NTR4647 (BIO-TOP study) and NTR3216 (DRESS study); Pre-results.

REDOSER project: optimising biological therapy dose for rheumatoid arthritis and spondyloarthritis patients

Background

Reducing the dose of biological therapy (BT) when patients with immune-mediated arthritis achieve a sustained therapeutic goal may help to decrease costs for national health services and reduce the risk of serious infection. However, there is little information about whether such a decision can be applied universally. Therefore, the objective of this study was to develop appropriateness criteria for reducing the dose of BT in patients with rheumatoid arthritis (RA), axial spondyloarthritis (axSpA), and peripheral spondyloarthritis (pSpA).

Methods

The RAND/UCLA appropriateness method was coordinated by experts in the methodology. Five rheumatologists with clinical research experience in RA and/or SpA selected and precisely defined the variables considered relevant when deciding to reduce the dose of BT in the 3 diseases, in order to define patient profiles. Ten rheumatologists with experience in prescribing BT anonymously rated each profile on a scale of 1 (completely inappropriate) to 9 (completely appropriate) after revising a summary of the evidence obtained from 4 systematic literature reviews carried out specifically for this project.

Findings

A total of 2,304 different profiles were obtained for RA, 768 for axSpA, and 3,072 for pSpA. Only 327 (14.2%) patient profiles in RA, 80 (10.4%) in axSpA, and 154 (5%) in pSpA were considered appropriate for reducing the dose of BT. By contrast, 749 (32.5%) patient profiles in RA, 270 (35.3%) in axSpA, and 1,243 (40.5%) in pSpA were considered inappropriate. The remaining profiles were considered uncertain.

Interpretation

Appropriateness criteria for reducing the dose of BT were developed in 3 inflammatory conditions. These criteria can help clinicians treating these disorders to optimize the BT dose. However, further research is needed, since more than 50% of the profiles were considered uncertain and the real prevalence of each profile in daily clinical practice remains unknown.

The clinical utility of gene expression examination in rheumatology

Rheumatoid arthritis (RA) is a chronic inflammatory disease with unknown etiology that affects various pathways within the immune system, involves many other tissues and is associated with pain and joint destruction. Current treatments fail to address pathophysiological and biochemical mechanisms involved in joint degeneration and the induction of pain. Moreover, RA patients are extremely heterogeneous and require specific treatments, the choice of which is complicated by the fact that not all patients equally respond to therapy. Gene expression analysis offer tools for patient management and personalization of patient’s care to meet individual needs in controlling inflammation and pain and delaying joint destruction.

Clinical utility of therapeutic drug monitoring in biological disease modifying anti-rheumatic drug treatment of rheumatic disorders: a systematic narrative review

INTRODUCTION

Biological Disease Modifying Anti-Rheumatic Drugs (bDMARDs) have improved the treatment outcomes of inflammatory rheumatic diseases including Rheumatoid Arthritis and spondyloarthropathies. Inter-individual variation exists in (maintenance of) response to bDMARDs. Therapeutic Drug Monitoring (TDM) of bDMARDs could potentially help in optimizing treatment for the individual patient. Areas covered: Evidence of clinical utility of TDM in bDMARD treatment is reviewed. Different clinical scenarios will be discussed, including: prediction of response after start of treatment, prediction of response to a next bDMARD in case of treatment failure of the first, prediction of successful dose reduction or discontinuation in case of low disease activity, prediction of response to dose-escalation in case of active disease and prediction of response to bDMARD in case of flare in disease activity. Expert opinion: The limited available evidence does often not report important outcomes for diagnostic studies, such as sensitivity and specificity. In most clinical relevant scenarios, predictive value of serum (anti-) drug levels is absent, therefore the use of TDM of bDMARDs cannot be advocated. Well-designed prospective studies should be done to further investigate the promising scenarios to determine the place of TDM in clinical practice.