Abstract
This study aimed to evaluate the effectiveness of abatacept (ABA) by anti-cyclic citrullinated peptide (ACPA) status on disease activity as well as radiographic progression in patients with rheumatoid arthritis (RA) in clinical settings. A retrospective cohort study was conducted using data from a multicenter registry. Data from a total of 553 consecutive RA patients treated with intravenous ABA were included. We primarily compared the status of disease activity (SDAI) and radiographic progression (van der Heijde modified total Sharp score: mTSS) between the ACPA-negative (N = 107) and ACPA-positive (N = 446) groups. ‘ACPA positive’ was defined as ≥ 13.5 U/mL of anti-CCP antibody. Baseline characteristics between groups were similar. The proportion of patients who achieved low disease activity (LDA; SDAI ≤ 11) at 52 weeks was significantly higher in the ACPA-positive group. Multivariate logistic regression analysis identified ACPA positivity as an independent predictor for achievement of LDA at 52 weeks. Drug retention rate at 52 weeks estimated by the Kaplan–Meier curve was significantly higher in the ACPA-positive group. Achievement rate of structural remission (ΔmTSS ≤ 0.5) at 52 weeks was similar between groups. ABA treatment demonstrated a significantly higher clinical response and higher drug retention rate in ACPA-positive patients. Progression of joint destruction was similar between the ACPA-negative and ACPA-positive groups. Close attention should be paid to joint destruction even in patients showing a favorable response to ABA, especially when the ACPA status is positive.
Subject terms: Rheumatoid arthritis, Outcomes research
Introduction
Abatacept (ABA) is the first and only one of biological disease-modifying anti-rheumatic drugs (bDMARDs) for rheumatoid arthritis (RA) that inhibits T lymphocyte activation by binding to CD80/86, thereby modulating its interaction with CD28. Clinical outcomes of ABA have been reported in several randomized controlled trials (RCTs)1,2 and in clinical practice3,4. We also previously published several reports describing the clinical effectiveness and safety profile of ABA in routine clinical practice using data from a Japanese multicenter registry5–7. However, we did not initially collect anti-cyclic citrullinated peptide antibody (ACPA) [most commonly measured by anti-cyclic citrullinated peptide (anti-CCP)] status data from all registered patients8. Since the ACPA status has been reported to be associated with clinical response and drug retention of ABA from several groups3,9,10, we again investigated the unregistered data for ACPA status from all cases.
Gottenberg et al. reported for the first time that ACPA positivity predicted a good response to ABA and higher retention rate of ABA treatment using the data from the French Orencia and Rheumatoid Arthritis (ORA) registry3. Nusslein et al. reported that ACPA positivity predicted a higher retention rate of ABA9. Sokolove et al. reported that ACPA positivity was associated with a better response to ABA as a sub-analysis of the Abatacept versus adaliMumab comParison in bioLogic-naïvE RA subjects with background MTX (AMPLE) study10,11. Taken together, these results from real-world data and a clinical trial, a better response to ABA treatment and higher retention rate of ABA seem to be associated with ACPA positivity. However, only few reports described the association between detailed change in disease activity and ACPA positivity. Additionally, data on the association between progression of joint destruction and ACPA positivity in RA patients when treated with ABA are scarce at this time12–15. An investigation of the progression of joint destruction in ACPA-positive RA patients treated with ABA in daily clinical practice would be informative.
In this study, we compared change in disease activity over time, and achievement rates of low disease activity and radiographic remission at 52 weeks between ACPA-negative and ACPA-positive RA patients treated with ABA using data from a multicenter registry system.
Materials and methods
A multicentre registry system for RA patients treated with bDMARDs
All eligible patients were registered in and followed by the Tsurumai Biologics Communication Registry (TBCR). The TBCR is a registry of patients with RA receiving treatment with biologics. The registry began in 2008 and was developed to analyze the long-term prognosis of patients undergoing treatment with biologics in clinical practice5,16. Data were collected prospectively beginning in 2008, as well as retrospectively for patients who had been treated with biologics through 2008. All 2827 patients registered in the TBCR as of April 2015 met the 1987 American College of Rheumatology (ACR) or the 2010 ACR/ European League Against Rheumatism (EULAR) classification criteria for RA17. Information on medication history was collected at clinic visits to TBCR-affiliated institutions. Registry data are updated once per year and include information on drug continuation, reasons for discontinuation (e.g., insufficient effectiveness), and adverse events. Patient anonymity was maintained during data collection and security of personal information was strictly controlled. This study was approved by the Nagoya University Graduate School of Medicine Ethics Committee (Approval No.: 2011-1164). Written informed consent was obtained from all participants of this study. All methods were carried out in accordance with relevant guidelines and regulations.
Current retrospective study
This study was conducted to compare SDAI status and radiographic progression between ACPA-positive and ACPA-negative RA patients treated with ABA. We collected data again for this retrospective study, focusing on unregistered data regarding ACPA status. The present study included 554 consecutive patients with ACPA data who were treated with intravenous (IV) ABA and prospectively observed for longer than 52 weeks at TBCR-affiliated institutions. This study was approved by the Nagoya University Graduate School of Medicine Ethics Committee (Approval No.: 2016-0388-3). Patients received IV-ABA infusions three times with 2-week intervals between infusions, and thereafter at 4-week intervals, according to drug labels and the Japan College of Rheumatology guidelines for treatment. Patients received a fixed dose of ABA at roughly 10 mg/kg body weight; patients weighing < 60 kg received 500 mg of ABA, those weighing 60–100 kg received 750 mg, and those weighing > 100 kg received 1000 mg6.
Data collection
The following demographic data were recorded at initiation of treatment (baseline, week 0): age, sex, disease duration, rheumatoid factor (RF) positivity (≥ 20 IU/mL), history and number of previous bDMARDs, and concomitant treatment [methotrexate (MTX) and prednisolone (PSL)]. The following disease parameters were recorded at baseline and after 4, 12, 24, and 52 weeks of treatment: tender joint count (TJC) and swollen joint count (SJC) on 28 joints, patient and physician global assessment (PtGA and PhGA, respectively) of disease activity, modified health assessment questionnaire (mHAQ) score18,19, serum c-reactive protein (CRP) levels, erythrocyte sedimentation rate (ESR), and matrix metalloproteinase-3 (MMP-3) levels. Disease activity was evaluated at baseline and 4, 12, 24, and 52 weeks using the simplified disease activity index (SDAI), which includes data from the above-mentioned disease parameters. Radiographs of bilateral hands/wrists and feet at baseline and at 52 weeks were available for 171 patients. The timing of X-ray photography was allowed if within plus or minus three months. Images were scored using van der Heijde modified Sharp method independently by two trained readers20.
Category of disease activity and radiographic remission
Disease activity was categorized as follows: remission (SDAI ≤ 3.3), low disease activity (LDA; 3.3 < SDAI ≤ 11), moderate disease activity (MDA; 11 < SDAI ≤ 26), and high disease activity (HDA; SDAI > 26). Radiographic remission was defined by a change in the modified total Sharp score (mTSS) ≤ 0.5 from baseline to 52 weeks21–23. We primarily evaluated the proportion of patients who achieved LDA at 52 weeks and of patients who achieved radiographic remission at 52 weeks.
Statistical analysis
Demographic and disease characteristics are reported using descriptive statistics. All results are expressed as mean ± standard deviation (SD) or percentage (%). Student’s t test was used for 2-group comparisons, and the chi-square test for categorical variables. The last observation carried forward (LOCF) method was used in each analysis.
Multivariate analysis (logistic regression) was performed to identify factors that predict the achievement of LDA at 52 weeks. We assessed age, sex, disease duration, previous history of bDMARDs, concomitant MTX, concomitant PSL, SDAI at baseline, mHAQ score at baseline, and ACPA positivity. Adjusted odds ratios (ORs) with 95% confidence intervals (CIs) were calculated after adjusting for all variables.
All statistical tests were two-tailed, with significance defined as p < 0.05. All analyses were performed with SAS version 9.4 software (SAS Institute Inc., Cary, NC, USA).
Results
Patient characteristics
In total, 554 patients were enrolled in this study. We compared clinical disease activity and radiographic progression between ACPA-negative [ACPA (−)] and ACPA-positive [ACPA (+)] groups. Patient characteristics at baseline were comparable between these two groups except for mean value of ACPA and proportion of RF positivity (Table 1).
Table 1.
N | ACPA (−) | ACPA (+) | p value |
---|---|---|---|
107 | 447 | ||
Age (years) | 67.3 ± 13.7 | 68.0 ± 11.3 | 0.583 |
Sex (% female) | 82.2 | 79.0 | 0.451 |
Disease duration (years) | 10.4 ± 10.1 | 12.5 ± 11.9 | 0.082 |
Body weight (kg) | 51.9 ± 11.4 | 51.1 ± 9.1 | 0.412 |
ACPA (U/mL) | 4.5 ± 4.2 | 370.8 ± 545.1 | < 0.001 |
RF positive (%) | 44.6 | 82.7 | < 0.001 |
eGFR | 71.8 ± 24.9 | 73.4 ± 25.0 | 0.547 |
KL-6 (U/mL) | 308.6 ± 263.9 | 339.3 ± 272.6 | 0.367 |
Concomitant MTX use (%) | 49.0 | 41.2 | 0.162 |
MTX dose (mg/week)a | 9.0 ± 3.0 | 8.6 ± 3.5 | 0.550 |
Oral PSL use (%) | 44.9 | 52.9 | 0.160 |
Oral PSL dose (mg/day)a | 5.6 ± 3.1 | 5.5 ± 3.3 | 0.881 |
Previous biologics (%) | 68.2 | 72.0 | 0.434 |
No. previous biologicsa | 1.5 ± 0.9 | 1.6 ± 0.8 | 0.813 |
SDAI | 20.8 ± 14.0 | 22.2 ± 12.7 | 0.381 |
TJC, 0–28 | 5.6 ± 5.7 | 5.5 ± 5.2 | 0.796 |
SJC, 0–28 | 4.5 ± 4.6 | 4.9 ± 4.7 | 0.485 |
PtGA, 0–10 cm | 4.9 ± 2.8 | 5.2 ± 2.6 | 0.238 |
PhGA, 0–10 cm | 4.1 ± 2.6 | 4.2 ± 2.2 | 0.682 |
CRP (mg/dL) | 2.0 ± 2.6 | 2.4 ± 3.9 | 0.326 |
MMP-3 (ng/mL) | 191.9 ± 243.2 | 190.8 ± 200.8 | 0.966 |
mHAQ | 0.85 ± 0.71 | 0.83 ± 0.68 | 0.860 |
mTSS | 64.0 ± 65.8 | 71.8 ± 87.7 | 0.631 |
ACPA anti-citrullinated protein/peptide antibody, RF rheumatoid factor, eGFR estimated glomerular filtration rate, KL-6 Krebs von den Lungen-6, MTX methotrexate, PSL prednisolone, SDAI simplified disease activity index, TJC tender joint count, SJC swollen joint count, PtGA patient’s global assessment, PhGA physician’s global assessment, CRP C-reactive protein, MMP-3 matrix metalloproteinase-3, mHAQ modified health assessment questionnaire, mTSS van der Heijde modified total Sharp score.
aMean among patients receiving the drug.
Changes in disease activity
Mean SDAI score decreased significantly, from 22.2 ± 12.7 at baseline to 8.7 ± 8.1 at 52 weeks in the ACPA (+) group, and from 20.8 ± 14.0 to 11.6 ± 10.8 in the ACPA (−) group. We also observed a significant difference between groups at 52 weeks (p = 0.0029), but no difference from baseline to 24 weeks (Fig. 1A). Change in SDAI score from baseline (ΔSDAI) at 52 weeks was significantly greater in the ACPA (+) group (− 13.4 ± 13.2 vs − 9.9 ± 11.3, p = 0.0265), while no difference was observed between groups from baseline to 24 weeks (Fig. 1B). Mean SDAI score and mean ΔSDAI score consistently decreased to 52 weeks in the ACPA (+) group, while statistical significance was observed only at 0–4 and 4–12 weeks in the ACPA (−) group.
Figure 2 shows the categorical distribution of disease activity defined by SDAI score. There was no significant difference in the proportion of patients who achieved LDA or remission between the ACPA (−) and ACPA (+) groups from baseline to 24 weeks. The ACPA (+) group showed a significantly higher achievement rate of LDA at 52 weeks compared to the ACPA (−) group (72.1 vs 56.0%, p = 0.0019). Additionally, the LDA achievement rate persistently increased to 52 weeks in the ACPA (+) group, while we observed a significant difference only between baseline and 4 weeks in the ACPA (−) group.
We evaluated the change in each component of SDAI (Fig. 3). We observed a significant difference between the ACPA (−) and ACPA (+) groups at 52 weeks in TJC (3.5 ± 5.4 vs 2.2 ± 3.9, p = 0.0059), PhGA (2.4 ± 2.1 vs 1.9 ± 1.6, p = 0.0065), and CRP (1.00 ± 1.57 vs 0.68 ± 1.22, p = 0.0291).
Rates of treatment retention and discontinuation due to inadequate response and adverse events
We found a significant difference in the retention rate of ABA treatment at 52 weeks between the ACPA (−) and ACPA (+) groups, as estimated by Kaplan–Meier analysis (73.8 vs 89.0%, p = 0.0002) (Fig. 4A). A significant difference was also observed in the discontinuation rate due to inadequate response at 52 weeks (14.4 vs 3.5%, p < 0.0001) (Fig. 4B), while no difference was observed in the discontinuation rate due to adverse events (6.5 vs 6.3%, p = 0.9582) (Fig. 4C).
Factors predicting achievement of LDA at 52 weeks
Univariate and multivariate logistic regression analyses were performed to identify predictors of LDA achievement at 52 weeks. In the univariate logistic regression analysis, the following variables at baseline were found to be associated with LDA achievement at 52 weeks after ABA initiation: SDAI score, mHAQ score, and ACPA positivity (Table 2). The multivariate logistic regression analysis revealed the same three variables to be independently associated with LDA achievement at 52 weeks.
Table 2.
Variables | Univariate | Multivariate | ||
---|---|---|---|---|
OR | p value | Adjusted OR | p value | |
Age | 0.99 (0.98–1.01) | 0.439 | 1.00 (0.97–1.02) | 0.749 |
Male (vs. female) | 1.12 (0.70–1.80) | 0.634 | 0.79 (0.40–1.58) | 0.511 |
Disease duration | 0.99 (0.97–1.00) | 0.053 | 0.99 (0.97–1.01) | 0.468 |
Bio-naïve | 1.23 (0.81–1.85) | 0.335 | 1.18 (0.67–2.08) | 0.575 |
MTX use | 1.12 (0.75–1.69) | 0.585 | 1.14 (0.66–1.95) | 0.649 |
PSL use | 0.82 (0.55–1.23) | 0.329 | 0.97 (0.58–1.64) | 0.923 |
SDAI at baseline | 0.96 (0.94–0.97) | < 0.001 | 0.96 (0.94–0.98) | < 0.001 |
mHAQ | 0.50 (0.36–0.69) | < 0.001 | 0.57 (0.38–0.86) | 0.008 |
ACPA-positive | 2.03 (1.29–3.17) | 0.002 | 2.61 (1.36–5.00) | 0.004 |
LDA low disease activity, OR odds ratio, MTX methotrexate, PSL prednisolone, SDAI simplified disease activity index, mHAQ modified health assessment questionnaire, ACPA anti-citrullinated protein/peptide antibody.
Structural outcomes
Sequential radiographs of bilateral hands/wrists and feet at baseline and 52 weeks were obtained from 142 patients in the ACPA (+) group and 29 patients in the ACPA (−) group. The structural remission at 52 weeks, defined as a change in mTSS from baseline ≤ 0.5, was achieved in 94 patients (66.2%) in the ACPA (+) group and 18 patients (62.1%) in the ACPA (−) group, with no significant difference observed between groups (p = 0.670) (Fig. 5A). There was no significant difference in mean change from baseline to 52 weeks in mTSS (1.17 ± 1.98 vs 1.66 ± 4.42, p = 0.561), erosion score (0.53 ± 1.17 vs 0.60 ± 2.01, p = 0.861), and JSN score (0.638 ± 1.15 vs 1.06 ± 2.92, p = 0.446) between the ACPA (−) and ACPA (+) groups (Fig. 5B).
We found no significant difference in the baseline characteristics between the overall patients and the patients with sequential radiographs of bilateral hands/wrists and feet at baseline and 52 weeks (Table S1).
Discussion
The main findings from this retrospective observational cohort study are as follows. The SDAI-LDA achievement rate at 52 weeks was significantly higher in the ACPA-positive group, and ACPA positivity was an independent predictor for LDA achievement. Interestingly, disease activity decreased consistently to 52 weeks in the ACPA-positive group, while statistically reached plateau by 12 weeks in the ACPA-negative group. The retention rate of ABA treatment was significantly higher in the ACPA-positive group. The achievement rates of radiographic remission at 52 weeks were similar between the ACPA-negative and ACPA-positive groups.
Consistent with previous reports3,4,10,24, we found that ACPA positivity was significantly associated with a good clinical response to ABA treatment also in Japanese patients who are genetically different from Caucasian. Another strength of our study was the novel demonstration of the detailed change in SDAI from baseline to 52 weeks in the ACPA-negative and ACPA-positive groups. We found that improvement in disease activity in the ACPA-negative group reached a plateau by 12 weeks while the disease activity continuously improved after 12 weeks to 52 weeks in the ACPA-positive group. We previously reported that 12 weeks was an adequate observational period for predicting the clinical efficacy of ABA at 52 weeks7. Especially in ACPA-negative patients, treatment adjustment should be considered if ABA effectiveness is judged to be clinically insufficient at 12 weeks.
Overall drug retention rate was significantly higher in the ACPA-positive group, consistent with previous reports. Gottenberg et al. reported a higher retention rate of ABA in ACPA-positive patients from the pan-European registry25. ACPA positivity was more frequent among patients still treated with ABA at 6 months compared to patients who discontinued ABA in the ORA registry3. Our investigation of retention rate by reasons for drug discontinuation revealed that the discontinuation rate due to adverse events was similar between the ACPA-negative and ACPA-positive groups, although we also noted a significant difference in discontinuation rate due to inadequate response.
Polyclonal ACPA isolated from the synovial fluid and peripheral blood of RA patients was reported to enhance osteoclast differentiation through a peptidylarginine deiminase (PAD)-dependent IL-8 neutralization26. Kleyer et al. reported that the structural bone damage started before the clinical onset of arthritis in subjects with ACPA positivity27. The association between ACPA positivity and joint destruction in RA patients has been reported from several groups. ACPA positivity was found to be an independent predictor for both formation of new bone erosion and cartilage destruction in RA patients participating in clinical trials of denosumab12. ACPA positivity was an independent predictor of joint destruction, even in RA patients in remission or LDA28. Thus, ACPA-positive RA patients are at high risk for joint destruction independently of disease activity. In our current results, the ACPA-positive group demonstrated a similar change in mTSS score to the ACPA-negative group, despite the significantly higher clinical response to ABA. We surmise that ABA treatment suppressed the progression of joint destruction in the high-risk group for joint destruction to the same extent as that in the low-risk group.
This study has several limitations. First, the sequential radiographic data at baseline and 52 weeks were obtained from only 30.1% of participants. The small number of samples may have been one of the reasons why there was no significant difference between the ACPA-positive and ACPA-negative group in the change in mTSS score. As this retrospective study was conducted in real clinical settings, we did not perform X-ray examinations in all patients, as would typically be done in a clinical trial. However, the current results regarding joint destruction may represent the overall cohort, since the patients with X-ray data had quite similar baseline characteristics compared to those in the overall patients. Additionally, the timing of X-ray photography was allowed if within plus or minus three months in this registry study. The varied timings of X-ray may have affected the results in this study. Second, the present study findings were all based on the use of IV ABA. However, the use of a subcutaneous (SC) formulation is currently widespread. Some patients may exhibit different responsiveness to SC and IV formulation. Further studies will be needed to determine whether similar results would be obtained with SC ABA as well.
Conclusions
ABA treatment demonstrated a significantly higher clinical response and higher drug retention rate in ACPA-positive patients. Progression of joint destruction was similar between the ACPA-negative and ACPA-positive groups. Close attention should be paid to joint destruction even in patients showing a favorable response to ABA, especially when the ACPA status is positive.
Supplementary information
Acknowledgements
We thank Dr. Toshihisa Kanamono (Department of Orthopedic Surgery, Nagano Red Cross Hospital, Nagano, Japan), Dr. Yukiyoshi Oh-ishi (Department of Rheumatology, Toyohashi Municipal Hospital, Toyohashi, Japan), Dr. Naoki Fukaya (Department of Orthopedic Surgery, Kariya–Toyota General Hospital, Kariya, Japan), and Dr. Seiji Tsuboi (Department of Orthopedic Surgery, Shizuoka Kosei Hospital, Shizuoka, Japan) for their helpful suggestions.
Author contributions
D.K., N.T., N.I., and T.K. wrote the main manuscript text and Y.S., T.N., M.S., Y.Y., K.T., and S.A. prepared tables and figures. A.K., Y.H., T.F., Y.K, M.H., Y.Y., H.T., T.O., T.K., K.F., and T.M. collected the patients' data and M.A. and Y.K. managed and analyzed the data. N.T., S.A., K.T., E.T., H.Y., Y.K., S.H., and K.M. evaluated the X-ray. All authors reviewed the manuscript.
Funding
This study was supported by Bristol-Myers Squibb and Ono Pharmaceutical CO., LTD.
Competing interests
N.I. received grants, lecture fees, and fees for serving on speakers’ bureaus from Daiichi Sankyo, Takeda Pharmaceutical, Hisamitsu Pharmaceutical, Otsuka Pharmaceutical, Taisho Toyama Pharmaceutical, Kaken Pharmaceutical, Eisai, Janssen Pharmaceutical, Bristol-Myers Squibb, Abbvie Japan, Chugai Pharmaceutical, Mitsubishi Tanabe Pharmaceutical, Astellas Pharma, and Pfizer Japan. T.K. received lecture fees (< US$5000) from Mitsubishi Tanabe Pharma, Takeda Pharma, Eisai Pharma, AbbVie, Bristol-Myers Squibb, and Pfizer, and $10000 from Chugai Pharma. N.T. received speaker’s fees from Abbvie Japan, Eisai, Mitsubishi Tanabe Pharma, Pfizer, Chugai Pharmaceutical, and Bristol-Myers Squibb (< $5000). Y.H. received speaker’s fees from Abbvie Japan, Eisai, Mitsubishi Tanabe Pharma, Pfizer, Chugai Pharmaceutical, and Bristol-Myers Squibb (< $5000). A.K. received lecture fees (< $5000) from Mitsubishi Tanabe Pharma, Takeda Pharma, Eisai Pharma, Chugai Pharma, Abbvie Japan, Bristol-Myers Squibb, UCB, Janssen, and Pfizer. All other authors have no conflicts of interest to report.
Footnotes
Publisher's note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary information
is available for this paper at 10.1038/s41598-020-76842-4.
References
- 1.Genovese MC, Schiff M, Luggen M, Becker JC, Aranda R, Teng J, et al. Efficacy and safety of the selective co-stimulation modulator abatacept following 2 years of treatment in patients with rheumatoid arthritis and an inadequate response to anti-tumour necrosis factor therapy. Ann. Rheum. Dis. 2008;67:547–554. doi: 10.1136/ard.2007.074773. [DOI] [PubMed] [Google Scholar]
- 2.Kremer JM, Russell AS, Emery P, Abud-Mendoza C, Szechinski J, Westhovens R, et al. Long-term safety, efficacy and inhibition of radiographic progression with abatacept treatment in patients with rheumatoid arthritis and an inadequate response to methotrexate: 3-year results from the AIM trial. Ann. Rheum. Dis. 2011;70:1826–1830. doi: 10.1136/ard.2010.139345. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Gottenberg JE, Ravaud P, Cantagrel A, Combe B, Flipo RM, Schaeverbeke T, et al. Positivity for anti-cyclic citrullinated peptide is associated with a better response to abatacept: Data from the ‘Orencia and Rheumatoid Arthritis' registry. Ann. Rheum. Dis. 2012;71:1815–1819. doi: 10.1136/annrheumdis-2011-201109. [DOI] [PubMed] [Google Scholar]
- 4.Harrold LR, Litman HJ, Connolly SE, Kelly S, Hua W, Alemao E, et al. Effect of anticitrullinated protein antibody status on response to abatacept or antitumor necrosis factor-alpha therapy in patients with rheumatoid arthritis: A US national observational study. J. Rheumatol. 2018;45:32–39. doi: 10.3899/jrheum.170007. [DOI] [PubMed] [Google Scholar]
- 5.Takahashi N, Kojima T, Terabe K, Kaneko A, Kida D, Hirano Y, et al. Clinical efficacy of abatacept in Japanese rheumatoid arthritis patients. Mod. Rheumatol. 2013;23:904–912. doi: 10.3109/s10165-012-0760-4. [DOI] [PubMed] [Google Scholar]
- 6.Takahashi N, Kojima T, Kaneko A, Kida D, Hirano Y, Fujibayashi T, et al. Longterm efficacy and safety of abatacept in patients with rheumatoid arthritis treated in routine clinical practice: Effect of concomitant methotrexate after 24 weeks. J. Rheumatol. 2015;42:786–793. doi: 10.3899/jrheum.141288. [DOI] [PubMed] [Google Scholar]
- 7.Takahashi N, Kojima T, Kaneko A, Kida D, Hirano Y, Fujibayashi T, et al. Use of a 12-week observational period for predicting low disease activity at 52 weeks in RA patients treated with abatacept: A retrospective observational study based on data from a Japanese multicentre registry study. Rheumatology (Oxford) 2015;54:854–859. doi: 10.1093/rheumatology/keu418. [DOI] [PubMed] [Google Scholar]
- 8.Takahashi N, Fujibayashi T, Kida D, Hirano Y, Kato T, Kato D, et al. Concomitant methotrexate and tacrolimus augment the clinical response to abatacept in patients with rheumatoid arthritis with a prior history of biological DMARD use. Rheumatol Int. 2015;35:1707–1716. doi: 10.1007/s00296-015-3283-4. [DOI] [PubMed] [Google Scholar]
- 9.Nusslein HG, Alten R, Galeazzi M, Lorenz HM, Boumpas D, Nurmohamed MT, et al. Real-world effectiveness of abatacept for rheumatoid arthritis treatment in European and Canadian populations: A 6-month interim analysis of the 2-year, observational, prospective ACTION study. BMC Musculoskelet. Disord. 2014;15:14. doi: 10.1186/1471-2474-15-14. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Sokolove J, Schiff M, Fleischmann R, Weinblatt ME, Connolly SE, Johnsen A, et al. Impact of baseline anti-cyclic citrullinated peptide-2 antibody concentration on efficacy outcomes following treatment with subcutaneous abatacept or adalimumab: 2-year results from the AMPLE trial. Ann. Rheum. Dis. 2016;75:709–714. doi: 10.1136/annrheumdis-2015-207942. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Schiff M, Weinblatt ME, Valente R, van der Heijde D, Citera G, Elegbe A, et al. Head-to-head comparison of subcutaneous abatacept versus adalimumab for rheumatoid arthritis: Two-year efficacy and safety findings from AMPLE trial. Ann. Rheum. Dis. 2014;73:86–94. doi: 10.1136/annrheumdis-2013-203843. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Takeuchi, T. et al. Predictors of new bone erosion in rheumatoid arthritis patients receiving conventional synthetic disease-modifying antirheumatic drugs: Analysis of data from the DRIVE and DESIRABLE studies. Mod. Rheumatol.10.1080/14397595.2019.1703484 (2020). [DOI] [PubMed]
- 13.Hecht C, Englbrecht M, Rech J, Schmidt S, Araujo E, Engelke K, et al. Additive effect of anti-citrullinated protein antibodies and rheumatoid factor on bone erosions in patients with RA. Ann. Rheum. Dis. 2015;74:2151–2156. doi: 10.1136/annrheumdis-2014-205428. [DOI] [PubMed] [Google Scholar]
- 14.Hamamoto Y, Ito H, Furu M, Hashimoto M, Fujii T, Ishikawa M, et al. Serological and progression differences of joint destruction in the wrist and the feet in rheumatoid arthritis—A cross-sectional cohort study. PLoS ONE. 2015;10:e0136611. doi: 10.1371/journal.pone.0136611. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.van Steenbergen HW, Ajeganova S, Forslind K, Svensson B, van der Helm-van Mil AH. The effects of rheumatoid factor and anticitrullinated peptide antibodies on bone erosions in rheumatoid arthritis. Ann. Rheum. Dis. 2015;74:e3. doi: 10.1136/annrheumdis-2014-206623. [DOI] [PubMed] [Google Scholar]
- 16.Kojima T, Kaneko A, Hirano Y, Ishikawa H, Miyake H, Oguchi T, et al. Study protocol of a multicenter registry of patients with rheumatoid arthritis starting biologic therapy in Japan: Tsurumai Biologics Communication Registry (TBCR) study. Mod. Rheumatol. 2012;22:339–345. doi: 10.3109/s10165-011-0518-4. [DOI] [PubMed] [Google Scholar]
- 17.Aletaha D, Neogi T, Silman AJ, Funovits J, Felson DT, Bingham CO, 3rd, et al. 2010 rheumatoid arthritis classification criteria: An American College of Rheumatology/European League Against Rheumatism collaborative initiative. Ann. Rheum. Dis. 2010;69:1580–1588. doi: 10.1136/ard.2010.138461. [DOI] [PubMed] [Google Scholar]
- 18.Matsuda Y, Singh G, Yamanaka H, Tanaka E, Urano W, Taniguchi A, et al. Validation of a Japanese version of the Stanford Health Assessment Questionnaire in 3,763 patients with rheumatoid arthritis. Arthritis. Rheum. 2003;49:784–788. doi: 10.1002/art.11465. [DOI] [PubMed] [Google Scholar]
- 19.Nagasawa H, Kameda H, Sekiguchi N, Amano K, Takeuchi T. Differences between the Health Assessment Questionnaire Disability Index (HAQ-DI) and the modified HAQ (mHAQ) score before and after infliximab treatment in patients with rheumatoid arthritis. Mod. Rheumatol. 2010;20:337–342. doi: 10.3109/s10165-010-0284-8. [DOI] [PubMed] [Google Scholar]
- 20.van der Heijde D. How to read radiographs according to the Sharp/van der Heijde method. J. Rheumatol. 2000;27:261–263. [PubMed] [Google Scholar]
- 21.Foltz V, Gandjbakhch F, Etchepare F, Rosenberg C, Tanguy ML, Rozenberg S, et al. Power Doppler ultrasound, but not low-field magnetic resonance imaging, predicts relapse and radiographic disease progression in rheumatoid arthritis patients with low levels of disease activity. Arthritis. Rheum. 2012;64:67–76. doi: 10.1002/art.33312. [DOI] [PubMed] [Google Scholar]
- 22.van der Heijde DM. Plain X-rays in rheumatoid arthritis: Overview of scoring methods, their reliability and applicability. Baillieres. Clin. Rheumatol. 1996;10:435–453. doi: 10.1016/S0950-3579(96)80043-4. [DOI] [PubMed] [Google Scholar]
- 23.van der Heijde D, Simon L, Smolen J, Strand V, Sharp J, Boers M, et al. How to report radiographic data in randomized clinical trials in rheumatoid arthritis: Guidelines from a roundtable discussion. Arthritis. Rheum. 2002;47:215–218. doi: 10.1002/art.10181. [DOI] [PubMed] [Google Scholar]
- 24.Alten R, Nusslein HG, Mariette X, Galeazzi M, Lorenz HM, Cantagrel A, et al. Baseline autoantibodies preferentially impact abatacept efficacy in patients with rheumatoid arthritis who are biologic naive: 6-month results from a real-world, international, prospective study. RMD Open. 2017;3:e000345. doi: 10.1136/rmdopen-2016-000345. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Gottenberg JE, Courvoisier DS, Hernandez MV, Iannone F, Lie E, Canhao H, et al. Brief report: Association of rheumatoid factor and anti-citrullinated protein antibody positivity with better effectiveness of abatacept: Results from the pan-European registry analysis. Arthritis. Rheumatol. 2016;68:1346–1352. doi: 10.1002/art.39595. [DOI] [PubMed] [Google Scholar]
- 26.Krishnamurthy A, Joshua V, Haj Hensvold A, Jin T, Sun M, Vivar N, et al. Identification of a novel chemokine-dependent molecular mechanism underlying rheumatoid arthritis-associated autoantibody-mediated bone loss. Ann. Rheum. Dis. 2016;75:721–729. doi: 10.1136/annrheumdis-2015-208093. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Kleyer A, Finzel S, Rech J, Manger B, Krieter M, Faustini F, et al. Bone loss before the clinical onset of rheumatoid arthritis in subjects with anticitrullinated protein antibodies. Ann. Rheum. Dis. 2014;73:854–860. doi: 10.1136/annrheumdis-2012-202958. [DOI] [PubMed] [Google Scholar]
- 28.Koga T, Okada A, Fukuda T, Hidaka T, Ishii T, Ueki Y, et al. Anti-citrullinated peptide antibodies are the strongest predictor of clinically relevant radiographic progression in rheumatoid arthritis patients achieving remission or low disease activity: A post hoc analysis of a nationwide cohort in Japan. PLoS ONE. 2017;12:e0175281. doi: 10.1371/journal.pone.0175281. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.