Effectiveness of a treat-to-target strategy in patients with moderate to severely active rheumatoid arthritis treated with abatacept
Arthritis Research & Therapy volume 25, Article number: 183 (2023)
To compare a treat-to-target (T2T) approach and routine care (RC) in adults with active to severely active rheumatoid arthritis (RA) initiating subcutaneous abatacept.
A 12-month cluster-randomized trial in active RA patients treated with abatacept was conducted. Physicians were randomized to RC or T2T with a primary endpoint of achieving sustained Clinical Disease Activity Index (CDAI) low disease activity (LDA) at two consecutive assessments approximately 3 months apart. Additional outcomes included Simple Disease Activity Index (SDAI), Disease Activity Score 28-CRP (DAS28-CRP), Routine Assessment of Patient Index Data 3 (RAPID3), and the Health Assessment Questionnaire-Disability Index (HAQ-DI). Time to achieve therapeutic endpoints was assessed with survival analysis.
Among the 284 enrolled patients, 130 were in the T2T group and 154 in RC. Primary endpoint was achieved by 36.9% and 40.3% of patients in T2T and RC groups, respectively. No significant between-group differences were observed in the odds of achieving secondary outcomes, except for a higher likelihood of CDAI LDA in the T2T group vs. RC (odds ratio [95% confidence interval]: 1.33 [1.03–1.71], p = 0.0263). Compared with RC, patients in the T2T group achieved SDAI remission significantly faster (Kaplan–Meier-estimated mean [standard error]: 14.0 [0.6] vs. 19.3 [0.8] months, p = 0.0428) with a trend toward faster achievement of CDAI LDA/remission, DAS28-CRP remission, and HAQ-DI minimum clinically important difference.
Patients managed per T2T and those under RC experienced significant improvements in RA disease activity at 12 months of abatacept treatment. T2T was associated with higher odds of CDAI LDA and a shorter time to achieving therapeutic endpoints.
Name of the registry: ClinicalTrials.gov.
Trial registrations: NCT03274141.
Date of registration: September 6, 2017.
Rheumatoid arthritis (RA) is a common autoimmune disease characterized by a progressive inflammatory synovitis of the joints, leading to cartilage and bone damage as well as disability [1, 2]. According to the 2017 Global Burden of Disease, Injuries, and Risk Factors Study, the age-standardized global RA prevalence is 246.6 per 100,000 with an incidence of 14.9 per 100,000 .
RA is associated with severe functional disability, reduction in health-related quality of life (HRQoL) and an increase in premature mortality [4, 5]. Therapeutic options currently available for treatment of RA include non-steroidal anti-inflammatory drugs (NSAIDs), glucocorticoids, and disease-modifying anti-rheumatic drugs (DMARDs). Conventional DMARDs are the recommended first-line therapy for RA with methotrexate (MTX) monotherapy as the preferred option [6, 7]. In patients who fail first-line treatment, biologic DMARDs (bDMARDs), such as tumor necrosis factor inhibitors (TNFi), anti-IL-6 agents, T cell activation blockade or targeted synthetic DMARDs (tsDMARDs), including Janus kinase inhibitors (JAKi), are recommended [6, 7]. Abatacept, a bDMARD, is a fully human recombinant fusion protein consisting of cytotoxic T lymphocyte–associated protein 4 that binds to CD80/CD86 on antigen-presenting cells and activated T cells, thereby outcompeting CD28 present on T cells, a CD80/86 substrate and a co-stimulatory molecule required for maximal T cell activation. Disruption of CD28 interactions with CD80/86 effectively downregulates T cell activation and may result in anergy and apoptotic cell death . The safety and efficacy of abatacept in reducing RA disease activity and improving patient reported outcomes (PROs) has been demonstrated in several clinical trials [9,10,11] and observational studies [12,13,14,15].
The treat-to-target (T2T) approach is a shared decision-making process whereby strict management of a particular treatment course is directly influenced by patient disease activity scores in relation to a treatment target such as remission [16, 17]. Evidence in support of the T2T approach as compared to early, aggressive treatment strategies includes better disease control and improved long term outcomes in RA patients [18,19,20,21]. Less is known about the T2T approach compared to routine care (RC) when an advanced therapy is initiated . Here we report the results of the Abatacept Best Care (ABC) trial (NCT03274141), a prospective, observational study aimed at comparing the T2T approach vs. RC in real-life management of adult patients with active to severely active RA initiating subcutaneous (SC) abatacept as first- or second-line biologic agent.
Data source and study design
The ABC trial was a 12-month prospective, multicenter, post-marketing, cluster (at the physician level) randomized study, with the option to participate in a 12-month extension phase for patients who completed the initial 12-month study. Physicians were randomized in a 1:1 ratio to either receive formal education on the T2T approach (T2T group) prior to the study or not receive training and instead continue managing through their judgment and RC (RC group). Physicians in the T2T group were provided with a thorough review of the T2T approach by T2T experts, and were encouraged to follow suggested treatment optimization options, as well as the Canadian Rheumatology Association Recommendations for Pharmacological Management of Rheumatoid Arthritis with Traditional and Biologic DMARDs , which suggest the goal of treatment should be remission or, when not possible, minimal disease activity, and provide recommendations about how to reach this goal (i.e., frequency of disease activity monitoring and use of concomitant medications). As the enrolled patients were at different stages of their disease and there was no consensus on the specific outcome to be targeted, a treatment algorithm was not imposed in the T2T group, rather physicians were merely informed of targets to be reached. In addition to this training, physicians in the T2T group received emails and newsletters every 2 months as a reminder of the guidelines. In line with the observational nature of the study, there were no pre-determined protocol-defined requirements for follow-up schedules; physicians managed patients in accordance with the current standard of care and regional requirement. Follow-up visits were recommended and encouraged at least every 3 (± 1) months during the first year of follow-up, and every 6 (± 1) months during the second year. Assuming a sustained Clinical Disease Activity Index (CDAI) low disease activity (LDA) rate for the RC group of 40%, and an odds ratio (OR) of 2.0 in favor of T2T, approximately 145 patients per group were required to achieve a statistical power of 80% and a 5% significance level.
Adult patients (≥ 18 years of age) with moderate-to-severe RA, defined as CDAI > 10, who were to initiate treatment with SC abatacept obtained via usual care as per judgement of the treating physician, prior to and independently of consideration for study enrolment, were eligible for enrollment. Additional inclusion criteria were: ≥ 18 years of age; moderate to severely active RA, defined as CDAI > 10; provision of informed consent; and fulfillment of the reimbursement criteria for treatment with SC abatacept under provincial or private health insurance reimbursement coverage. Patients were excluded if they had received abatacept (SC or intravenous) prior to the enrolment visit; had failed more than 1 prior bDMARD therapy; and/or had a history of autoimmune disease or any joint inflammatory disease other than RA with the exception of concomitant secondary Sjogren’s syndrome.
RA disease activity was assessed using the CDAI, the Simple Disease Activity Index (SDAI), and the Disease Activity Score 28-CRP (DAS28-CRP), all of which have previously been validated for use in RA. CDAI is based on the sum of tender and swollen joint counts (TJC and SJC) of 28 joints, patient global assessment (PtGA) of disease activity measured on a visual analogue scale (VAS, range 0–100 mm), and physician global assessment (MDGA, VAS 0–100 mm) . CDAI scores range between 0 and 76 with a score ≤ 2.8 indicative of remission, LDA defined by scores > 2.8 and ≤ 10, moderate activity ranging between scores > 10 and ≤ 22, and scores > 22 indicative of high activity . SDAI is calculated as the numerical sum of TJC and SJC, PtGA, MDGA, and C-reactive protein (CRP) level (mg/dL) with scores ranging from 0–86 where remission is defined as a score ≤ 3.3, LDA ranges between scores > 3.3 and ≤ 11, scores > 11 and ≤ 26 are indicative of moderate disease activity, and high disease activity is defined by scores > 40 [26, 27]. DAS28-CRP includes TJC and SJC, PtGA, and CRP level  with scores ranging between 0 and 9 where a score ≤ 2.6 is indicative of remission, LDA is defined by scores > 2.6 and ≤ 3.2, moderate activity ranging between scores > 3.2 and ≤ 5.1, and scores > 5.1 indicative of high activity .
PROs used in the study included measures of disease activity, physical function, pain, and fatigue. The Routine Assessment of Patient Index Data 3 (RAPID3) is a validated composite index of RA disease activity based on 3 PROs included in the American College of Rheumatology Core Set PRO components: Patient Physical Function/Disability, Patient Pain, and PtGA. Each domain is scored from 0 to 10, for a total score of 30 and disease activity categories include remission with a score ≤ 3, score > 3 and ≤ 6 for LDA, score > 6 and ≤ 12 indicative of moderate activity, and high activity defined by a score > 12 [29, 30]. The Health Assessment Questionnaire Disability Index (HAQ-DI) measures functional status with a total score between 0–3, with increasing scores indicative of worse functioning (0 indicates no functional impairment and 3 complete impairment) . A change of 0.22–0.25 units in HAQ-DI has been defined as the minimum clinically important difference (MCID) [30, 31]. Levels of pain  and fatigue were measured using a VAS (0–100 mm).
The primary outcomes were the proportion of patients and time to achieving sustained LDA (CDAI ≤ 10), for 2 consecutive assessments conducted approximately 3 months apart over a 1-year observation period.
Secondary outcomes included (i) the proportion of patients and the time to achieve CDAI LDA (≤ 10) and remission (≤ 2.8), SDAI remission (≤ 3.3), DAS28-CRP LDA (< 3.2) and remission (< 2.6), RAPID 3 LDA (≤ 6) and remission (≤ 3), HAQ-DI MCID (Δ ≥ 0.22) at months 3, 6, 9, 12; (ii) the change in CDAI, SDAI, DAS28-CRP, HAQ-DI, RAPID3, TJC28, SJC28, pain, and fatigue from baseline to months 3, 6, 9, 12; (iii) number of changes in RA treatment; and (iv) the incidence of treatment-emergent adverse events (TEAEs), including serious (SAEs) and non-serious AEs.
Data analysis was conducted on the modified intent-to-treat (mITT) population including all patients receiving at least one dose of SC abatacept. Descriptive statistics including the mean and standard deviation (SD) for continuous variables and frequency distributions for categorical variables were produced for all patient demographic data and baseline disease characteristics. The proportion of patients achieving the primary endpoint (sustained CDAI LDA) was compared between groups with a cluster-correct (Rao-Scott) Chi-square test; non-responder imputation was used for missing data. Time to achieve the primary endpoint was assessed with a Cox proportional hazard model with shared-frailty to account for the cluster effect and adjusted for site (random effect), site size (number of patients enrolled at each site), and potential confounders identified from the baseline comparison of the treatment groups (prior bDMARD use, smoking status). Achievement of secondary endpoints was assessed with mixed effects logistic regression for repeated measures adjusted for the same covariates as for the primary endpoint. Time to achieve secondary endpoints was assessed with the Kaplan–Meier (K-M) estimator of the survival function and compared between groups with the log-rank test. Least squares mean (LSM) changes from baseline in CDAI, SDAI, DAS28-CRP, RAPID3, and HAQ-DI were estimated with mixed models for repeated measures (MMRM) adjusting for the same covariates as for the primary endpoint. In MMRM, missing data are predicted by the observed data via the model for the conditional mean. The mean (95% confidence interval [CI]) count of changes per patient in RA treatment (NSAIDS, non-biologic/biologic DMARDs, intra-articular steroids, SC abatacept dose), including treatment interval modifications, were compared between groups using a cluster-corrected Student’s t-test. Given the observational nature of the study, no adjustment for multiplicity took place. All statistical analyses were performed using SAS software (version 9.2, SAS Institute, Cary, NC).
A total of 44 physicians were randomized, 21 in the RC group and 23 in the T2T group. Among physicians in the T2T and RC groups, approximately 65% and 76% were male, with an average duration of rheumatology practice of approximately 21 and 25 years, respectively, and comparable geographic distribution. The average number of patients enrolled at each site was 6.5 (95% CI: 5–8), ranging from 1–26.
Baseline demographics and disease characteristics
The mITT population comprised 284 patients of whom 130 and 154 were included in the T2T and RC groups, respectively. A total of 207 (72.9%) patients completed the 12-months follow-up period, 84 (64.6%) and 123 (79.9%) in the T2T and RC groups, respectively. Most patients in the overall population were female (74.3%) and Caucasian (91.5%), mean (SD) age was 60.1 (11.6) years, and approximately half were current (18.3%) or past (34.5%) smokers. Baseline demographics were generally comparable between the treatment groups, although the proportion of Caucasians was higher in the RC group (Table 1).
At baseline, patient disease parameters were similar between the treatment groups (Table 1). Overall, patients had a mean (SD) duration of RA of 7.7 (9.1) years, a mean (SD) CRP level of 2.1 (3.7) mg/dL, and a mean (SD) erythrocyte sedimentation rate (ESR) of 23.0 (19.5) mm/hr. Positive RF, and anti-CCP status was observed for 159 (56.0%) and 90 (31.7%) patients, respectively. The overall mean (SD) TJC28 (9.8 [6.1]), and SJC28 (8.0 [4.6]), as well as scores for fatigue (VAS: 63.0 [23.7]), MDGA (VAS: 62.0 [17.2]), pain (VAS: 64.0 [24.0]), PtGA (VAS: 63.3 [21.8]) and physical function (HAQ-DI: 1.5 [0.6]) were indicative of moderate to severe RA disease activity and disability.
Prior bDMARD use was reported in 54 (41.5%) and 57 (37.0%) patients in the T2T and RC groups, respectively (Table S1). Nearly all patients in both treatment groups reported concomitant non-bDMARD use at baseline, the most common being MTX (T2T: 70.0%, RC: 62.3%) and hydroxychloroquine (T2T: 36.2%, RC: 44.2%). NSAID use was comparable at baseline (T2T: 30.0%, RC: 27.9%); however, corticosteroids were more commonly used in the RC group (T2T: 18.5%, RC: 27.9%; Table S1).
The primary outcome of sustained CDAI LDA was achieved by 36.9% vs. 40.3% of patients in the T2T vs. RC group, over the course of 12 months (p = 0.4618, Fig. 1a). Although not statistically different, the mean (standard error, SE) K-M estimated time to achieve sustained LDA was shorter for patients in the T2T group compared with those managed per RC (7.9 [0.4] vs. 11.8 [0.5] months, Fig. 1b).
Analysis of secondary endpoints demonstrated that CDAI LDA at months 3, 6, 9 and 12 was achieved by 37.7%, 47.9%, 60.9%, and 57.0% of patients in the T2T group compared with 35.5%, 43.4%, 50.4%, and 53.7% of those managed per RC, while the rates of CDAI remission at months 3–12 ranged from 8.5–22.1% in the T2T group, and 5.8–17.9% in the RC group (Fig. 2a, b). Proportions of patients with SDAI remission at months 3–12 in the T2T and RC groups ranged from 9.4–26.7% and 7.2–17.1%, respectively (Fig. 2c). DAS28-CRP LDA at months 3 and 12 was achieved by 52.8% and 65.1% of patients in the T2T group, and 52.9% and 65.0% of those in the RC group, respectively, with DAS28-CRP remission at months 3, 6, 9, and 12 achieved by 35.8%, 45.7%, 55.2%, and 57.0% of patients in the T2T group compared with 31.9%, 42.6%, 48.0% and 48.8% of those in the RC group (Fig. 2d, e). In the T2T and RC regimens, proportions of patients with RAPID3 LDA ranged from 14.2–22.1% and 12.3–16.3% at months 3–12, respectively, and RAPID3 remission at months 3 and 12 was achieved by 3.8% and 9.3% of patients managed per T2T, and 3.6% and 4.9% of those managed per RC, respectively (Fig. 2f, g). Finally, 17.0%, 18.1%, 12.6%, and 17.4% of patients in the T2T group, and 11.6%, 14.0%, 12.0%, and 14.6% of those in the RC group achieved HAQ-DI MCID at months 3, 6, 9 and 12, respectively (Fig. 2h).
Logistic regression analysis of the odds of achieving secondary outcomes showed that compared with RC, patients in the T2T group were more likely to achieve CDAI LDA (OR [95% CI]: 1.33 [1.03–1.71], p = 0.0263; Fig. 2a). The likelihood of achieving all other secondary outcomes was statistically comparable between the regimens (Fig. 2).
Survival analysis for the time to achieve secondary outcomes demonstrated that patients managed per T2T had a significantly shorter mean (SE) time to achieve SDAI remission than those treated through RC (K-M estimated: 14.0 [0.6] vs. 19.3 [0.8] months, p = 0.0428; Fig. 3c). The time to achieve all other secondary clinical outcomes and PROs was statistically comparable between the treatment groups, although a trend toward a faster achievement of CDAI LDA and remission, DAS28-CRP remission, and HAQ-DI MCID was observed in the T2T group (Fig. 3).
Change in outcomes over time
LSM changes in CDAI, SDAI, DAS28-CRP, RAPID3 and HAQ-DI demonstrated statistically significant improvements from baseline within each treatment group (T2T and RC) as early as month 3 and were sustained through month 12 (p < 0.0001, Fig. 4). At month 12, LSM (SE) estimates corresponding to the change in CDAI, SDAI, DAS28-CRP, RAPID3, and HAQ-DI from baseline were -17.22 (1.58), -17.69 (1.61), -1.66 (0.17), -3.42 (0.64), and -0.31 (0.07) in the T2T group, respectively (p < 0.0001), and -18.52 (1.42), -19.51 (1.44), -1.75 (0.15), -3.15 (0.55), and -0.37 (0.06) in the RC group (Fig. 4).
In the overall population, the absolute mean change in disease measures and PROs from baseline to months 3–12 ranged from -5.3 to -6.5 for TJC28, -4.6 to -6.0 for SJC28, -14.5 to -21.2 mm for Pain, and -14.6 to -19.8 mm for Fatigue. Over time, no significant differences in levels of these parameters were observed between the treatment groups (Figure S2).
Changes in RA treatment over time
The proportion of patients remaining on abatacept treatment at 12 months was significantly lower in the T2T group compared with RC (51.5% vs. 66.9%, p = 0.027; data not shown). The mean number of changes in RA treatment throughout the study was comparable between the regimens with 0.7, 0.6, 0.7, and 0,7 changes in T2T, and 0.6, 0.8, 0.7, and 0.5 changes in RC at months 3, 6, 9, and 12, respectively (Fig. 5). Compared with RC, a lower proportion of patients in the T2T group had adjustments in MTX at month 3 (5.7% vs. 13.0%), 6 (9.6% vs. 17.6%), 9 (9.2% vs. 12.0%), and 12 (9.3% vs. 17.9%), and a higher proportion had changes in NSAIDs at month 3 (7.5% vs. 6.5%), 6 (9.6% vs. 5.1%), 9 (11.5% vs. 6.4%), and 12 (10.5% vs. 4.1%; data not shown). Changes in all other types of non-biologic RA medications, including corticosteroids, were similar between the regimens (data not shown).
Rates of AEs and SAEs were generally low and comparable between treatment groups (Table S2). During the course of the study, in the overall population, AEs were reported for 189 (66.5%) patients and SAEs for 28 (9.9%) patients. The most frequent AEs were infections and infestations (34.5%), of which the most common (7.7%) was upper respiratory tract infection. Nine (3.2%) patients had a neoplasm, and 64 (22.5%) experienced general disorders and administration site conditions including 39 (13.7%) patients reporting the drug as ‘ineffective’. Details of AEs are provided in Table S3.
The ABC study compared the effectiveness of the T2T disease management strategy with RC among adult RA patients with moderate to severe disease activity who initiated treatment with SC abatacept. Over the course of 1 year, approximately 40% of patients managed according to either strategy achieved sustained LDA, as defined by CDAI ≤ 10, with a comparable time to achievement of this outcome in both treatment groups. Similar proportions of patients in the T2T and RC groups achieved LDA, remission, and improved physical function, as assessed by various clinical and PRO measures. No differences were observed in the likelihood of achieving these outcomes between the regimens, with the exception of patients managed per T2T who had 1.3 times higher odds of achieving CDAI LDA. Time to achieve SDAI remission was significantly shorter in the T2T group compared with RC and although no statistically significant differences were observed in the time to achieve other clinical and PRO measures, a trend toward a more rapid response in CDAI LDA and remission, DAS28-CRP remission, and HAQ-DI MCID, but not RAPID3 LDA and remission, was noted in the T2T group compared with RC. Previous studies have suggested that RAPID3 alone may not be sufficient to follow long-term disease activity in patients with RA in clinical practice and that it may capture aspects of RA other than inflammation [33, 34]. Thus, while in the present study RAPID3 may add valuable information on patient psychometrics, its utility in the assessment of disease activity may be limited.
The T2T strategy is the preferred RA management regimen as opposed to usual care [20, 21] with current treatment guidelines recommending implementation of T2T for all RA patients [6, 7]. However, the present study found that outcomes across validated measures of clinical RA disease activity and physical function were largely similar between patients managed per T2T and RC. One explanation for the lack of distinction between the regimens may be abatacept efficacy. Alternatively, treating physicians in the RC group may have been practicing according to the T2T strategy. The Canadian treatment guidelines advocating for T2T patient management were first published in 2012 , which may have had an impact on usual care. The similar number of treatment adjustments made over time in both groups in the present study further supports this possibility. However, although T2T awareness among physicians has grown, variable rates of implementation of and adherence to T2T guidelines in real-world daily clinical practice have been reported [35,36,37]. Patient-related factors such as comorbidities, communication barriers, side effects that preclude treatment escalation, and individual patient preferences may hinder the application of T2T recommendations . Similarly, healthcare structures, clinical time constraints, lack of electronic reporting efficiency, and access to bDMARDs may result in deviations from T2T guidelines . In the Canadian setting, however, support for and application of T2T recommendations was generally high among rheumatologists surveyed and action plans to encourage the adoption and application of the T2T recommendations are ongoing .
Despite a comparable number of changes in RA medications between treatment groups in the current analysis, physicians employing RC tended to adjust the use of MTX more frequently than those following T2T, who in turn were more likely to modify NSAIDs or discontinue abatacept presumably to switch to a different bDMARD. These treatment differences may have impacted patient outcomes, possibly accounting for the similarities between the regimens. Additionally, the T2T strategy is known to be more effective than RC in early RA [39, 40] while patients in the present study had established disease where, as previously demonstrated, achievement of therapeutic endpoints is not affected by implementation of a T2T strategy .
Overall, SC abatacept was found to be safe and well-tolerated, with no new safety concerns identified, consistent with the known abatacept safety profile. Over half of all patients experienced TEAEs, the majority of which were mild, with approximately 10% experiencing serious AEs.
The present study had some limitations. Enrollment of physicians who were already applying the T2T approach in their medical practice could lead to selection bias. Physicians were informed of the objectives of the study, though not the specific T2T plan to be followed, potentially influencing their therapeutic approach during the study. Further, since treatment adjustments were not necessarily made using disease activity as an outcome measure, each investigator may have used a different target definition, therefore it is not possible to assess the impact of T2T education on disease management. Information on the intensity of the treatment prior to study enrollment, including management approach was not examined. Given that data were collected as per usual care, there was considerable missing data for some variables, such as anti-CCP status. At the time of study design, the relationship between response to abatacept and seropositivity was not documented; therefore, this data was not mandated in the protocol. Furthermore, this test is not universally reimbursed in some provincial healthcare systems. It would, however, be assumed that many RF-positive patients were also CCP-positive and that due to randomization, the rates of positivity should be similar in the two treatment groups. Strengths of the present study include the real-world clinical setting, minimal exclusion criteria, and no intervention in patient management other than the provision of T2T training in the T2T group, rendering results with high external validity. Several validated clinical and PRO measures were utilized allowing for consistent assessment of disease outcomes.
In this cohort of patients with moderate to severely active RA, SC abatacept was effective and well-tolerated, irrespective of the treatment approach used to manage the disease. The T2T approach may offer a greater likelihood of achieving CDAI LDA as well as faster achievement of SDAI remission.
Availability of data and materials
Data can be made available upon request. Bristol Myers Squibb’s policy on data sharing may be found at https://www.bms.com/researchers-and-partners/independent-research/data-sharing-request-process.html.
Abatacept Best Care
Clinical Disease Activity Index
Disease Activity Score 28-CRP
Disease-modifying anti-rheumatic drugs
Health Assessment Questionnaire Disability Index
Health-related quality of life
Janus kinase inhibitor
Low disease activity
Least squares mean
Minimum clinically important difference
Physician global assessment
Mixed models for repeated measures
Non-steroidal anti-inflammatory drugs
Patient reported outcome
Patient global assessment
Routine Assessment of Patient Index Data 3
Serious adverse event
Simple Disease Activity Index
Swollen joint counts
Treatment-emergent adverse event
Tender joint counts
Visual analogue scale
Sparks JA. Rheumatoid arthritis. Ann Intern Med. 2019;170:ITC1–16.
Aletaha D, Funovits J, Smolen JS. Physical disability in rheumatoid arthritis is associated with cartilage damage rather than bone destruction. Ann Rheum Dis. 2011;70:733–9.
Safiri S, Kolahi AA, Hoy D, et al. Global, regional and national burden of rheumatoid arthritis 1990–2017: a systematic analysis of the Global Burden of Disease study 2017. Ann Rheum Dis. 2019;78:1463–71.
Dadoun S, Zeboulon-Ktorza N, Combescure C, et al. Mortality in rheumatoid arthritis over the last fifty years: systematic review and meta-analysis. Joint Bone Spine. 2013;80:29–33.
Scott IC, Machin A, Mallen CD, et al. The extra-articular impacts of rheumatoid arthritis: moving towards holistic care. BMC Rheumatol. 2018;2:32.
Smolen JS, Landewé RBM, Bijlsma JWJ, et al. EULAR recommendations for the management of rheumatoid arthritis with synthetic and biological disease-modifying antirheumatic drugs: 2019 update. Ann Rheum Dis. 2020;79:685–99.
Fraenkel L, Bathon JM, England BR, et al. 2021 American college of rheumatology guideline for the treatment of rheumatoid arthritis. Arthritis Care Res (Hoboken). 2021;73:924–39.
Pombo-Suarez M, Gomez-Reino JJ. Abatacept for the treatment of rheumatoid arthritis. Expert Rev Clin Immunol. 2019;15:319–26.
Fleischmann R, Weinblatt ME, Schiff M, et al. Patient-reported outcomes from a two-year head-to-head comparison of subcutaneous abatacept and adalimumab for rheumatoid arthritis. Arthritis Care Res (Hoboken). 2016;68:907–13.
Genovese MC, Pacheco-Tena C, Covarrubias A, et al. Longterm safety and efficacy of subcutaneous abatacept in patients with rheumatoid arthritis: 5-year results from a phase IIIb trial. J Rheumatol. 2018;45:1085–92.
Schiff M, Keiserman M, Codding C, et al. Efficacy and safety of abatacept or infliximab vs placebo in ATTEST: a phase III, multi-centre, randomised, double-blind, placebo-controlled study in patients with rheumatoid arthritis and an inadequate response to methotrexate. Ann Rheum Dis. 2008;67:1096–103.
Alten R, Mariette X, Flipo RM, et al. Retention of subcutaneous abatacept for the treatment of rheumatoid arthritis: real-world results from the ASCORE study: an international 2-year observational study. Clin Rheumatol. 2022;41(8):2361–73.
Choy E, Groves L, Sugrue D, et al. Outcomes in rheumatoid arthritis patients treated with abatacept: a UK multi-centre observational study. BMC Rheumatol. 2021;5:3.
Muraoka S, Yamada Z, Kawazoe M, et al. Abatacept is efficacious in the treatment of older patients with csDMARD-refractory rheumatoid arthritis: a prospective, multicenter. Observational Study Rheumatol Ther. 2021;8:1585–601.
Yamada H, Tsuru T, Otsuka T, et al. Abatacept reduces disease activity of rheumatoid arthritis independently of modulating anti-citrullinated peptide antibody production. Immunol Med. 2020;43:87–91.
Desai SP, Leatherwood C, Forman M, et al. Treat-to-target approach in rheumatoid arthritis: a quality improvement trial. Arthritis Care Res. 2021;73:207–14.
Ford JA, Solomon DH. Challenges in implementing treat-to-target strategies in rheumatology. Rheum Dis Clin North Am. 2019;45:101–12.
Stoffer MA, Schoels MM, Smolen JS, et al. Evidence for treating rheumatoid arthritis to target: results of a systematic literature search update. Ann Rheum Dis. 2016;75:16–22.
Mueller RB, Spaeth M, von Restorff C, et al. Superiority of a treat-to-target strategy over conventional treatment with fixed csDMARD and corticosteroids: a multi-center randomized controlled trial in RA patients with an inadequate response to conventional synthetic DMARDs, and new therapy with Certolizumab Pegol. J Clin Med. 2019;8(3):302.
Brinkmann GH, Norvang V, Norli ES, et al. Treat to target strategy in early rheumatoid arthritis versus routine care - A comparative clinical practice study. Semin Arthritis Rheum. 2019;48:808–14.
Smolen JS, Breedveld FC, Burmester GR, et al. Treating rheumatoid arthritis to target: 2014 update of the recommendations of an international task force. Ann Rheum Dis. 2016;75:3–15.
Batko B, Batko K, Krzanowski M, et al. Physician adherence to treat-to-target and practice guidelines in rheumatoid arthritis. J Clin Med. 2019;8(9):1416.
Bykerk VP, Akhavan P, Hazlewood GS, et al. Canadian Rheumatology Association recommendations for pharmacological management of rheumatoid arthritis with traditional and biologic disease-modifying antirheumatic drugs. J Rheumatol. 2012;39:1559–82.
Aletaha D, Nell VP, Stamm T, et al. Acute phase reactants add little to composite disease activity indices for rheumatoid arthritis: validation of a clinical activity score. Arthritis Res Ther. 2005;7:R796-806.
Salomon-Escoto KI, Gravallese EM, Kay J. Assessment of control of rheumatoid arthritis disease activity. Best Pract Res Clin Rheumatol. 2011;25:497–507.
Smolen JS, Breedveld FC, Schiff MH, et al. A simplified disease activity index for rheumatoid arthritis for use in clinical practice. Rheumatology (Oxford). 2003;42:244–57.
Aletaha D, Ward MM, Machold KP, et al. Remission and active disease in rheumatoid arthritis: defining criteria for disease activity states. Arthritis Rheum. 2005;52:2625–36.
Wells G, Becker JC, Teng J, et al. Validation of the 28-joint Disease Activity Score (DAS28) and European League Against Rheumatism response criteria based on C-reactive protein against disease progression in patients with rheumatoid arthritis, and comparison with the DAS28 based on erythrocyte sedimentation rate. Ann Rheum Dis. 2009;68:954–60.
Pincus T, Yazici Y, Bergman MJ. RAPID3, an index to assess and monitor patients with rheumatoid arthritis, without formal joint counts: similar results to DAS28 and CDAI in clinical trials and clinical care. Rheum Dis Clin North Am. 2009;35:773–8, vii.
Orbai AM, Bingham CO 3rd. Patient reported outcomes in rheumatoid arthritis clinical trials. Curr Rheumatol Rep. 2015;17:28.
Maska L, Anderson J, Michaud K. Measures of functional status and quality of life in rheumatoid arthritis: Health Assessment Questionnaire Disability Index (HAQ), Modified Health Assessment Questionnaire (MHAQ), Multidimensional Health Assessment Questionnaire (MDHAQ), Health Assessment Questionnaire II (HAQ-II), Improved Health Assessment Questionnaire (Improved HAQ), and Rheumatoid Arthritis Quality of Life (RAQoL). Arthritis Care Res (Hoboken). 2011;63(Suppl 11):S4-13.
Hawker GA, Mian S, Kendzerska T, et al. Measures of adult pain: Visual Analog Scale for Pain (VAS Pain), Numeric Rating Scale for Pain (NRS Pain), McGill Pain Questionnaire (MPQ), Short-Form McGill Pain Questionnaire (SF-MPQ), Chronic Pain Grade Scale (CPGS), Short Form-36 Bodily Pain Scale (SF-36 BPS), and Measure of Intermittent and Constant Osteoarthritis Pain (ICOAP). Arthritis Care Res (Hoboken). 2011;63(Suppl 11):S240–52.
Boone NW, Sepriano A, van der Kuy PH, et al. Routine Assessment of Patient Index Data 3 (RAPID3) alone is insufficient to monitor disease activity in rheumatoid arthritis in clinical practice. RMD Open. 2019;5:e001050.
Kremer JM, Pappas DA, Kane K, et al. The clinical disease activity index and the routine assessment of patient index data 3 for achievement of treatment strategies. J Rheumatol. 2021;48:1776–83.
Yu Z, Lu B, Agosti J, et al. Implementation of treat-to-target for rheumatoid arthritis in the US: analysis of baseline data from a randomized controlled trial. Arthritis Care Res (Hoboken). 2018;70:801–6.
Taylor PC, Alten R, Reino JJG, et al. Factors influencing the use of biologic therapy and adoption of treat-to-target recommendations in current European rheumatology practice. Patient Prefer Adherence. 2018;12:2007–14.
Gazitt T, Oren S, Reitblat T, et al. Treat-to-target concept implementation for evaluating rheumatoid arthritis patients in daily practice. Eur J Rheumatol. 2019;6:136–41.
Haraoui B, Bensen W, Bessette L, et al. Treating rheumatoid arthritis to target: a Canadian physician survey. J Rheumatol. 2012;39:949–53.
Schipper LG, van Hulst LT, Grol R, et al. Meta-analysis of tight control strategies in rheumatoid arthritis: protocolized treatment has additional value with respect to the clinical outcome. Rheumatology (Oxford). 2010;49:2154–64.
Vermeer M, Kievit W, Kuper HH, et al. Treating to the target of remission in early rheumatoid arthritis is cost-effective: results of the DREAM registry. BMC Musculoskelet Disord. 2013;14:350.
Pope JE, Haraoui B, Rampakakis E, et al. Treating to a target in established active rheumatoid arthritis patients receiving a tumor necrosis factor inhibitor: results from a real-world cluster-randomized adalimumab trial. Arthritis Care Res (Hoboken). 2013;65:1401–9.
The ABC trial was funded by Bristol Myers Squibb. JSS Medical Research was the Contract Research Organization that managed the study.
Ethics approval and consent to participate
The ABC study was conducted in accordance with the Declaration of Helsinki and the International Conference on Harmonization Good Clinical Practice Guidelines. The study protocol and patient enrolment materials were approved by local ethics committees and regulatory agencies prior to initiation of the study. All patients gave written informed consent before any study-related procedures were performed.
Consent for publication
L.B. reports speaker’s bureau for AbbVie, Amgen, Bristol Myers Squibb, Eli Lilly, Fresenius Kabi, Janssen, MSD, Novartis, Organon, Pfizer, Sandoz, Sanofi, Teva, and UCB; consulting for AbbVie, Amgen, Bristol Myers Squibb, Eli Lilly, Fresenius Kabi, Gilead, Janssen, MSD, Novartis, Organon, Pfizer, Sandoz, Sanofi, Teva, and UCB; grant/research support from AbbVie, Amgen, Bristol Myers Squibb, Celgene, Eli Lilly, Janssen, MSD, Novartis, Pfizer, Sanofi, and UCB.
B.H. reports consulting for and/or grant support from Abbvie, Amgen, Eli Lilly, Pfizer and UCB.
E.R. and J.D. are employees of JSS Medical Research.
M–O. T. is an employee of Bristol Myers Squibb and may hold stock or stock options.
J.P. reports grant/research support from AbbVie, Bristol Myers Squibb, MSD, Pfizer, Roche, Seattle Genetics, UCB; consulting for AbbVie, Amgen, Boehringer Ingelheim, Bristol Myers Squibb, Eli Lilly, Gilead, Janssen, Medexus, MSD, Novartis, Pfizer, Roche, Sandoz, Sanofi, Teva and UCB.
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
About this article
Cite this article
Bessette, L., Haraoui, B., Rampakakis, E. et al. Effectiveness of a treat-to-target strategy in patients with moderate to severely active rheumatoid arthritis treated with abatacept. Arthritis Res Ther 25, 183 (2023). https://doi.org/10.1186/s13075-023-03151-2