Background To assess the effect of baricitinib on patient-reported outcomes (PROs) in patients with active rheumatoid arthritis and an inadequate response to methotrexate (MTX).
Methods In this double-blind phase 3 study, patients were randomised 3:3:2 to placebo (n=488), baricitinib 4 mg once daily (n=487), or adalimumab 40 mg biweekly (n=330) with background MTX. PROs included the SF-36, EuroQol 5-D (EQ-5D) index scores and visual analogue scale, Functional Assessment of Chronic Illness Therapy-Fatigue (FACIT-F), Health Assessment Questionnaire-Disability Index (HAQ-DI), Patient’s Global Assessment of Disease Activity (PtGA), patient’s assessment of pain and Work Productivity and Activity Impairment Questionnaire-Rheumatoid Arthritis (WPAI-RA), and measures collected in electronic patient daily diaries: duration and severity of morning joint stiffness (MJS), Worst Ttiredness and Worst Joint Pain. The primary study endpoint was at week 12. Treatment comparisons were assessed with logistic regression for categorical measures or analysis of covariance for continuous variables.
Results Compared with placebo and adalimumab, baricitinib showed statistically significant improvements (p≤0.05) in HAQ-DI, PtGA, pain, FACIT-F, SF-36 physical component score, EQ-5D index scores and WPAI-RA daily activity at week 12. Improvements were maintained for measures assessed to week 52. Statistically significant improvement in patient diary measures (MJS duration and severity), worst tiredness and worst joint pain were observed for baricitinib versus placebo and adalimumab at week 12 (p≤0.05).
Conclusions Baricitinib provided significantly greater improvement in most PROs compared with placebo and adalimumab, including physical function MJS, pain, fatigue and quality of life. Improvement was maintained to the end of the study (week 52).
Trial registration ClinicalTrials.gov identifier: NCT01710358. Registered 17 October 2012.
- patient perspective
- rheumatoid arthritis
- outcomes research
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Rheumatoid arthritis (RA) is characterised by inflammatory activity and joint damage that often result in disability, pain, limitations in physical function and other impairments important to patients. Outcomes can be improved with effective therapy.1–3 Decreases in physical function may be a consequence of both disease activity and irreversible, progressive joint damage.4–6
Patient-reported outcome (PRO) measures include health-related quality of life (HRQOL), physical function, disability, fatigue, sleep, mental health status, work productivity and work activity impairment.7 These are standardised measures, and minimum clinically important differences (MCIDs) have been determined for many. Because these PRO measures are obtained directly from the patients, they may more accurately reflect how the patient feels and functions in relation to RA and to therapy.8 9 The PRO measures also may facilitate doctor–patient communication and shared decision making to improve the quality of patient care.10–12
Baricitinib is a selective inhibitor of Janus kinase (JAK)1/JAK2 that interrupts signalling in pathways believed to be important in RA pathogenesis. The efficacy of baricitinib has been demonstrated in clinical studies in patients with RA.13–17 In the phase 3 RA-BEAM clinical trial (NCT01710358), baricitinib 4 mg once daily (QD) was associated with clinical improvement and inhibition of progression of radiographic joint damage compared with both placebo and adalimumab in patients with RA and an inadequate response to methotrexate (MTX). Specifically, 70% of patients treated with baricitinib achieved the American College of Rheumatology 20% response rate compared with 40% of placebo-treated patients and 61% of adalimumab-treated patients. This manuscript describes the PRO data collected in the RA-BEAM clinical trial of baricitinib.18
Patients and study design
RA-BEAM was a randomised, double-blind, double-dummy, placebo-controlled and active-controlled, parallel-arm, 52-week study conducted at 281 centres in 26 countries. Detailed methods of the RA-BEAM study have been published previously.18 Briefly, patients were ≥18 years old with active RA (≥6/68 tender and ≥6/66 swollen joints; serum high-sensitivity C reactive protein ≥6 mg/L). Patients had inadequate response to MTX. At baseline, patients were required to have either ≥3 joint erosions (based on radiographs) or >1 joint erosion with seropositivity for rheumatoid factor or anticitrullinated peptide antibodies.
Patients were randomised 3:3:2 to receive placebo, baricitinib 4 mg once daily, or biweekly subcutaneous adalimumab 40 mg, in addition to their existing background therapy (including MTX). The primary analysis time point for the study was at week 12. At week 24, patients receiving placebo switched to baricitinib. At week 16, patients whose tender and swollen joint counts improved from baseline by <20% at both weeks 14 and 16 were assigned rescue treatment (baricitinib 4 mg). After week 16, patients could be rescued at investigators’ discretion based on joint counts. The study was conducted in accordance with ethical principles of the Declaration of Helsinki and Good Clinical Practice guidelines and was approved by each centre’s institutional review board or ethics committee. All patients provided written informed consent.
Study endpoints and assessments
PROs were prespecified as secondary objectives of the study. Physical function was measured using the Health Assessment Questionnaire-Disability Index (HAQ-DI).19 20 Scores range from 0 to 3, with lower scores reflecting better physical function and, thus, less disability. The HAQ-DI score changes were assessed in the context of an MCID of 0.22,21 and the percentage of patients who reported scores that met or exceeded the population normative value (<0.5) was also assessed.22 Disease activity and arthritis pain were measured using the Patient’s Global Assessment of Disease Activity (PtGA) and the patient’s assessment of pain visual analogue scales (VAS; 0–100 mm) in which higher scores indicate more disease activity or pain. Fatigue was assessed by the Functional Assessment of Chronic Illness Therapy-Fatigue (FACIT-F) scale (range 0–52), with higher scores representing less fatigue.23 A 3-point to 4-point change has been considered an MCID,23–25 and in this study a value of 3.5625 was used to assess the clinical relevance of changes in FACIT-F scores. The percentage of patients who reported scores that met or exceeded the population normative value (≥40.1) was also assessed.23
Some PROs were recorded using a daily electronic diary (referred to as diary PROs) from day 1 through week 12. These included duration of morning joint stiffness (MJS), and the novel MJS Severity, Worst Tiredness and Worst Joint Pain numeric rating scales (NRS). The scores for the NRS range from 0 to 10, with 10 being the worst level.
HRQOL was evaluated using the Medical Outcomes Study Short-Form-36 (SF-36; version 2, Acute),26 27 which assesses eight domains scored from 0 to 100 that are normalised into physical component score (PCS) and mental component score (MCS). An MCID of 5 was used to assess the clinical relevance of changes in SF-36 scores.28 29 A sensitivity analysis with an MCID of 2.5 was also evaluated. The EuroQoL 5-Dimensions (EQ-5D) Health State Profile was also used to assess HRQOL. The EQ-5D consists of two components: a descriptive system of the respondent’s health and a rating of their current health state (0–100 mm VAS).30 The UK and US scoring algorithms provide an index score using the UK or US population weighting to normalise it to that population.31 32
The Work Productivity and Activity Impairment Questionnaire-Rheumatoid Arthritis (WPAI-RA) was used to measure the health and symptoms of overall work productivity and impairment of regular activities, as measured during the past 7 days. Scores are calculated as impairment percentages33 with higher percentages indicating greater impairment and less productivity.
Non-diary PROs were assessed at baseline and at weeks 1, 2, 4 and every 4 weeks thereafter to week 32 and after week 32, they were assessed at weeks 40 and 52. There were, however, some exceptions to the schedule before week 4. The FACIT-F, SF-36 and the EQ-5D were assessed at baseline and week 4, and the WPAI-RA was assessed at baseline, week 2 and week 4. These measures followed the same schedules as the other PROs after Week 4.
Randomised patients treated with ≥1 dose of placebo, baricitinib or adalimumab were included in the efficacy analyses on the basis of a modified intention-to-treat principle (analysis set).
Least squares mean (LSM) change from baseline for treatment comparisons of continuous efficacy variables were obtained using analysis of covariance with treatment, geographical region, baseline joint erosion status and baseline value in the model. For diary PRO data, analyses were based on the average of scores collected in the 7 days prior to the study visit, without baseline adjustment, until the week 12 visit date; daily scores from the day of randomisation (day 1) up to day 28 were also assessed. For the daily score analysis, mixed models for repeated measures were applied, with duration of MJS analysed by non-parametric methods.
As per the predefined analysis plan, patients who were rescued or discontinued from study or study treatment were thereafter defined as non-responders (non-responder imputation) for analysis of all categorical efficacy measures. For continuous efficacy measures, modified last observation carried forward was used, where the last observation before rescue or discontinuation was used for all subsequent time points. The WPAI-RA measures were censored after rescue or discontinuation without imputation applied.
All analyses are based on a significance level of 0.05 (two sided). p Values were not adjusted for multiple comparisons.
Patient disposition and baseline characteristics
A total of 1307 patients were randomised (488 placebo, 487 baricitinib 4 mg and 330 adalimumab). Patient disposition has been previously reported.18 Baseline patient characteristics and disease activity were similar among groups (online supplementary file 1). 18 Most patients (>99%) were receiving background MTX. The majority of patients had received ≥2 prior conventional synthetic disease modifying antirheumatic drugs (csDMARDs). Baseline PROs indicated a significant disease burden, consistent with the baseline clinical disease activity (online supplementary file 1).
Supplementary file 1
HAQ-DI, PtGA and pain
As reported in Taylor, et al,18 for HAQ-DI, PtGA, and the patient’s assessment of pain, statistically significant improvements in the baricitinib group versus placebo were evident as early as week 1, the first assessment. Significant improvements in physical function and reductions in PtGA and pain were maintained at week 12 and through week 52, the end of the study (table 1). When compared with adalimumab, statistically significant improvements in HAQ-DI were seen as early as week 4 and at week 2 for PtGA and pain, respectively; these improvements were maintained at week 12 and through week 52.
The percentages of patients who reported improvements that met or exceeded the HAQ-DI MCID of ≥0.22 at week 12 for placebo, baricitinib and adalimumab, respectively, were 58%, 75%, and 71% (p≤0.001 for baricitinib vs placebo and adalimumab vs placebo; p=0.302 for baricitinib vs adalimumab) and were 68% and 58% at week 52 for baricitinib vs adalimumab (p≤0.01). The percentage of patients who reported scores that met or exceeded the population normative value of <0.5 at week 12 or those who met or exceeded at week 52 ranged from 24% to 32% for baricitinib and adalimumab (online supplementary file 2). The percentages for baricitinib and adalimumab were statistically different (p<0.05) than placebo at week 12.
Supplementary file 2
MJS duration, MJS severity, worst tiredness and worst joint pain
Baricitinib treatment resulted in significant improvement versus placebo and adalimumab for all four measures at the primary time point of the study, week 12 (table 2). Improvements versus placebo were significant from week 1 for severity of MJS, Worst Tiredness and Worst Joint Pain and from week 2 for the duration of MJS. Improvements of baricitinib versus adalimumab were observed from as early as week 2 for Worst Joint Pain, week 4 for severity of MJS and week 8 for Worst Tiredness; for duration of MJS, improvements were statistically different at weeks 1 and 12, as reported by Taylor et al.18
Consistent with the weekly averaged data, the daily diary scores showed significant improvement in patients receiving baricitinib compared with both placebo and adalimumab. Improvements relative to placebo were observed as early as day three for the severity of MJS, Worst Tiredness, and Worst Joint Pain and by day five for the duration of MJS (figure 1). Improvements relative to adalimumab were observed as early as day 19 for the severity of MJS, day 21 for Worst Tiredness and day 17 for Worst Joint Pain. No significant differences were observed in the first 28 days between baricitinib and adalimumab for the duration of MJS.
Supplementary file 5
Treatment with baricitinib or adalimumab was associated with significant improvements in FACIT-F at the first assessment of the measure at week 4 (p≤0.001 for baricitinib vs placebo; p≤0.01 for adalimumab vs placebo; figure 2). The improvements in the FACIT-F score were sustained to week 24 for both baricitinib and adalimumab versus placebo (p≤0.001) and were significant at weeks 20, 28 and 52 for baricitinib versus adalimumab (p≤0.05; figure 2).
For the FACIT-F, the percentage of patients who reported improvements that met or exceeded the MCID (≥3.56) was 59%, 66% and 68% for placebo, baricitinib and adalimumab, respectively (p≤0.05 for baricitinib vs placebo; p≤0.01 for adalimumab vs placebo), at week 12 and were 60% and 54% at week 52 for baricitinib and adalimumab, respectively (p=0.084; figure 2). The percentage of patients who reported scores that met or exceeded the population normative value of ≥40.1 ranged from 41% to 46% for baricitinib and adalimumab at weeks 12 and 52 (online supplementary file 2).
Health-related quality of life
Patients treated with baricitinib or adalimumab showed statistically significantly improved differences compared with placebo in most of the eight SF-36 domains at week 12 except for the mental health domain (both baricitinib and adalimumab) and role-emotional domain (adalimumab), which improved but did not achieve statistical significance (table 3). Compared with adalimumab, patients treated with baricitinib showed statistically significant improvement in most of the domains at week 52, except for the mental health domain (table 3).
Compared with placebo, SF-36 PCS was statistically significantly improved for patients treated with baricitinib and adalimumab (figure 3A) from the first postbaseline assessment at week 4 and was maintained through weeks 12 and 52. At week 12, the percentage of patients who met or exceeded the MCID (≥5) for placebo, baricitinib and adalimumab, respectively, was 40%, 65% and 56% at week 12 (for both groups vs placebo, p≤0.001 and baricitinib vs adalimumab, p≤0.05) and was 60% and 52% at week 52 for baricitinib versus adalimumab (p≤0.05). For the SF-36 MCS measure, numeric, but not statistically significant differences in the change from baseline were found for both baricitinib and adalimumab versus placebo at all time points, except for baricitinib versus placebo at week 24 (p≤0.01). The proportion of patients who reported improvements that met or exceeded the MCID for the MCS was not statistically significantly different from placebo for either group at any time point, except at weeks 20 (both baricitinib and adalimumab differed from placebo, p≤0.05) and at week 24 (p≤0.01 for baricitinib vs placebo; figure 3B). Results were similar for the MCID value of 2.5 (online supplementary file 3).
Supplementary file 3
A statistically significant improvement in the EQ-5D index scores (both US and UK) were observed at the first postbaseline assessment, week 4 (data not shown), for both baricitinib and adalimumab versus placebo and was maintained to week 12 (table 1). By week 52, statistically significant improvements in EQ-5D index scores were observed for baricitinib versus adalimumab (table 1). For the EQ-5D VAS at 4 weeks, baricitinib-treated and adalimumab-treated patients showed statistically significant improvement compared with placebo-treated patients (data not shown). By week 12, however, statistically significant improvement in EQ-5D VAS was observed for only baricitinib-treated patients (p≤0.001 vs placebo; p≤0.01 versus adalimumab); this was maintained through week 52 for baricitinib versus adalimumab (p≤0.001; table 1).
Work Productivity and Activity Impairment
At baseline, 41%–43% of the patients were employed. Patients treated with baricitinib reported statistically significantly improved daily activity compared with placebo and adalimumab at week 12 (p≤0.001 for both groups vs placebo; p≤0.01 for baricitinib vs adalimumab); improvements compared with adalimumab, however, were not statistically significant at week 52 (online supplementary file 4). Among those patients who were employed at baseline and those who maintained employment at week 12, statistically significant improvements in absenteeism (p≤0.05), presenteeism (p≤0.001) and work productivity loss (p≤0.001) were seen with baricitinib compared with placebo; improvements compared with adalimumab, however, were not statistically significant at week 52. Only work productivity loss was statistically significantly improved with baricitinib versus adalimumab at week 12 (p≤0.05; online supplementary file 3).
Supplementary file 4
The RA-BEAM study evaluated baricitinib 4 mg once daily in patients with an inadequate response to MTX who were naive to biological DMARDs using placebo and adalimumab 40 mg biweekly as comparators.18 Patients continued to take stable background csDMARDs (including MTX) during the study. This paper evaluates whether the clinical efficacy data for baricitinib were complemented by corresponding changes in PROs.
Baseline PROs describe substantial duration (≥60 min) and severity of MJS, severe impairment of physical function and high levels of pain and fatigue (including tiredness) among patients enrolled in the study. Baricitinib treatment produced significantly greater improvements compared with placebo and adalimumab in most of the prespecified PROs, including physical function, pain, fatigue, duration and severity of MJS and HRQOL at week 12. Furthermore, baricitinib produced rapid improvements in the diary PROs compared with placebo and adalimumab, with significant differences vs placebo appearing within days of initiating treatment. Improvements were maintained to week 52 compared with adalimumab in physical function, pain, fatigue and HRQOL (eg, SF-36 PCS and EQ-5D).
In this analysis and in the results presented by Taylor, et al,18 treatment with baricitinib resulted in a rapid improvement in PROs; patients showed statistically significant improvements as early as week 1 in HAQ-DI, PtGA and the patient’s assessment of pain, and these results were maintained until the end of the trial at week 52. Compared with placebo, a significantly greater proportion of patients treated with baricitinib or adalimumab reported improvements that met or exceeded the MCID and the population normative values for HAQ-DI and FACIT-F at week 12.
Similar results were seen for duration and severity of MJS, Worst Tiredness and Worst Joint Pain as assessed using the patient daily diaries and improvement continued to week 12. The rapid onset of action, with improvement in relevant signs and symptoms (such as pain and tiredness) as early as 3 days after the start of treatment, is a useful complement to the efficacy observed at the later time points.
Consistent with these results, patients treated with baricitinib reported improvements in HRQOL, as measured by the EQ-5D and SF-36 PCS compared with placebo and adalimumab. For the SF-36, improvements across most of the SF-36 domains were observed for baricitinib and adalimumab compared with placebo at week 12 and for baricitinib compared with adalimumab at week 52. Furthermore, when a five-point change was used for the MCID, it was found that 65% of the baricitinib-treated patients met or exceeded the MCID for the SF-36 PCS (figure 3A). In contrast with the PCS, no statistically significant differences were observed between baricitinib-treated and adalimumab-treated patients compared with placebo-treated patients with the SF-36 MCS. Across treatment groups at baseline, the SF-36 MCS values ranged from 46 to 47, which are close to the population normative data of 50.28 This suggests only modest impairment for the MCS at baseline such that a marked improvement with therapy would not be expected. This SF-36 MCS result aligns with previous results from other trials.34–36
Compared with placebo, patients treated with baricitinib showed statistically significant improvement across all scores of the work productivity assessment at week 12. When compared with adalimumab, the baricitinib-treated patients showed statistically significant improvement in work productivity loss and impairment of regular activity at week 12; these improvements continued through week 52 but were not statistically significantly different.
The results from this analysis are similar to those observed in other phase 3, randomised clinical trials of baricitinib in different patient populations.34–36
The limitations of this analysis include the use of carrying forward the last observations before rescue or discontinuation. This method assumes that the PRO values do not change over time. Also, as in most double-blind comparator trials, the inclusion and exclusion criteria restrict patient participation such that these results may not be fully generalisable to the population seen in clinical practice.
This study used well-established PRO measures that can holistically evaluate the burden of RA and the treatment effects across many health domains. Some of the PRO measures are incorporated into the patient ratings in the ACR core set, while others, such as the EQ-5D and SF-36, are established HRQOL instruments that may more broadly measure the effects of RA and treatment on patients. The use of diary records allowed patients to report the impact of symptoms of importance to them as they arose, therefore permitting a more complete evaluation than by means of periodic recording of recollected symptoms. Furthermore, these PRO measures may help facilitate discussions between patients and their healthcare providers; they may help address patient concerns such as how long it will take to feel improvement (onset of action), how long to try the new treatment before determining that it is not effective (efficacy plateau) and how long the treatment will be effective (sustainability or the risk of relapse). In addition to facilitating the physician–patient dynamic, PRO measures are being increasingly used in randomised clinical trials and allow for epidemiological assessments across different patient populations and disease states. PRO assessments such as the work productivity measure also provide an insight into the broader, societal impact of RA.
The use of a variety of PRO measures also allows for an assessment of the clinical importance of the present study’s results. Similar trends were observed between comparisons of baricitinib with both placebo and adalimumab in many of the PROs. Additionally, some PRO measures were assessed with established and validated MCID values. Statistically significant differences in MCIDs between treatment groups implies clinical significance on a group level. Collectively, the results of the present study demonstrate treatment benefits for baricitinib that appear clinically relevant.
The RA-BEAM study demonstrated that patients treated with baricitinib experienced a greater improvement compared with patients treated with placebo or adalimumab in most PROs across different domains of RA, including physical function, MJS, fatigue, pain and HRQOL. These improvements tended to occur within the first weeks of treatment and were maintained throughout the 52-week trial.
The authors would like to thank Barbara Coffey, MS, and Molly Tomlin, MS, of Eli Lilly and Company for their assistance with manuscript preparation and process support and Scott Beattie, PhD, for statistical support.
Contributors All authors have contributed to the work and approve the presented findings.
Funding This study was funded by Eli Lilly and Company and Incyte Corporation.
Competing interests ECK has received grant/research support, consulting support or speaker bureau fees from Abbott, Amgen, AstraZeneca, Biotest, Bristol Myers Squibb, F. Hoffmann-La Roche Inc., Janssen, Eli Lilly and Company, Genentech, Janssen, Merck, Novartis, Pfizer, Sanofi-Aventis and UCB. PCT has received grant/research support or consulting support from AbbVie, Bristol Myers Squibb, Celgene, Eli Lilly and Company, Galapagos, GlaxoSmithKline, Merck, Pfizer, Takeda and UCB. YT has received grant/research support or speaker bureau fees from AbbVie, Astellas, Asahi Kasei, Bristol Myers Squibb, Chugai, Daiichi-Sankyo, Eisai, Eli Lilly and Company, GlaxoSmithKline, Janssen, Kyowa-Kirin, Mitsubishi-Tanabe, MSD, Pfizer, Santen, Takeda, Taisho-Toyama, Teijin and UCB. CG, AMD, TR, SdB, VA and BL are employees of Eli Lilly and Company, and all except AMD are shareholders of Eli Lilly and Company. AD is a consultant for Eli Lilly and Company. JVZ is a consultant for Eli Lilly and Company. JACC is a consultant for Eli Lilly and Company. MEW has received grant/research support or consulting support from AbbVie, Amgen, Bristol-Myers Squibb, Canfite, Corrona, Crescendo Bioscience, Genzyme, Idera, Infinity, Lycera, Eli Lilly and Company, Medimmune, Merck, Merck/serona, Momenta, Novartis, Pfizer, Roche, Samsung, Sanofi and UCB.
Ethics approval The study was approved by each center's institutional review board or ethics committee.
Provenance and peer review Not commissioned; externally peer reviewed.
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