Literature DB >> 26359449

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.

Jeremy Sokolove1, Michael Schiff2, Roy Fleischmann3, Michael E Weinblatt4, Sean E Connolly5, Alyssa Johnsen5, Jin Zhu6, Michael A Maldonado5, Salil Patel5, William H Robinson1.   

Abstract

OBJECTIVES: To examine whether baseline anti-cyclic citrullinated peptide-2 (CCP2) antibody status and concentration correlated with clinical outcomes in patients treated with abatacept or adalimumab on background methotrexate (MTX) in the 2-year AMPLE (Abatacept versus adaliMumab comParison in bioLogic-naïvE rheumatoid arthritis subjects with background MTX) study.
METHODS: In this exploratory analysis, anti-CCP2 antibody concentration was measured at baseline, and antibody-positive patients were divided into equal quartiles, Q1-Q4, representing increasing antibody concentrations. Clinical outcomes analysed by baseline anti-CCP2 status and quartile included change from baseline in disease activity and disability and remission rates.
RESULTS: Baseline characteristics were generally comparable across quartiles and treatment groups. In both treatment groups, anti-CCP2 antibody-negative patients responded less well than antibody-positive patients. At year 2, improvements in disease activity and disability and remission rates were similar across Q1-Q3, but were numerically higher in Q4 in the abatacept group; in contrast, treatment effects were similar across all quartiles in the adalimumab group.
CONCLUSIONS: In AMPLE, baseline anti-CCP2 positivity was associated with a better response for abatacept and adalimumab. Patients with the highest baseline anti-CCP2 antibody concentrations had better clinical response with abatacept than patients with lower concentrations, an association that was not observed with adalimumab. TRIAL REGISTRATION NUMBER: NCT00929864. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/

Entities:  

Keywords:  Ant-CCP; Autoantibodies; DMARDs (biologic); Rheumatoid Arthritis

Mesh:

Substances:

Year:  2015        PMID: 26359449      PMCID: PMC4819608          DOI: 10.1136/annrheumdis-2015-207942

Source DB:  PubMed          Journal:  Ann Rheum Dis        ISSN: 0003-4967            Impact factor:   19.103


Introduction

The introduction of multiple biologic disease-modifying antirheumatic drugs (DMARDs) and one new targeted synthetic DMARD has significantly improved rheumatoid arthritis (RA) treatment. However, better predictors of treatment response in individual patients are still needed. Anti-citrullinated protein antibodies (ACPA) are a sensitive and highly specific marker of RA1 and have been incorporated into the 2010 American College of Rheumatology (ACR)/European League Against Rheumatism (EULAR) diagnostic criteria.2 ACPA are present many years prior to the onset of clinical RA in many at-risk individuals, and 70%–80% of patients with RA are ACPA positive.3 As clinical disease develops, ACPA concentration increases, the number of recognised epitopes expands and isotype usage evolves.4 5 ACPA may also predict a more severe disease course with more erosive disease6; however, the clinical relevance of ACPA concentration is unclear.7 The relationship between ACPA status/concentration and response to therapy has not been elucidated but is of interest.8 In the clinic, ACPA can be detected using anti-cyclic citrullinated peptide (CCP) ELISA, such as the CCP2 assay.9 Here, we examined whether baseline anti-CCP2 IgG status and concentration influenced clinical outcomes in patients treated with abatacept or adalimumab in the head-to-head, 2-year AMPLE (Abatacept versus adaliMumab comParison in bioLogic-naïvE RA subjects with background methotrexate (MTX)) study.10 11 AMPLE provided a unique opportunity to explore baseline anti-CCP2 concentration as a predictor of response to two therapies with different mechanisms of action.

Methods

Study design

AMPLE (NCT00929864) was a 2-year, phase IIIb, randomised, investigator-blinded study. Biologic-naïve patients with active RA and an inadequate response to MTX were randomised to 125 mg subcutaneous abatacept weekly or 40 mg adalimumab bi-weekly, both on background MTX.10 11

ACPA analysis

Baseline anti-CCP2 antibody status (positive/negative) and concentration were determined using an anti-CCP2 IgG ELISA (Euro Diagnostica Immunoscan CCPlus, Malmö, Sweden; obtained from IBL America). Patients with a baseline anti-CCP2 IgG concentration of ≥25 AU/mL were considered to be positive and were further divided into equal quartiles according to concentration (Q1–Q4 (highest concentration)).

Outcome measures

Efficacy outcomes up to day 729 were assessed according to baseline anti-CCP2 IgG status and concentration quartile. Outcomes were adjusted mean change from baseline in Disease Activity Score 28 (C reactive protein; DAS28 (CRP)) and Health Assessment Questionnaire Disability Index (HAQ-DI) over time, percentage of patients achieving DAS28 (CRP) <2.6, ACR/EULAR remission rates defined by Clinical Disease Activity Index (CDAI; ≤2.8) or Simplified Disease Activity Index (SDAI; ≤3.3) criteria and ACR 50/70 response rates.

Statistical analyses

Analyses included all randomised and treated patients. Adjusted mean change from baseline for DAS28 (CRP) and HAQ-DI was determined for each time point using analysis of covariance (ANCOVA), with treatment and baseline DAS28 (CRP) stratification as factors and baseline values as a covariate. For comparisons between Q1–Q3 and Q4, anti-CCP2-negative and Q4, and abatacept Q4 and adalimumab Q4, the adjusted mean difference was estimated using an ANCOVA model with treatment, quartile, treatment by quartile interaction and baseline DAS28 (CRP) stratification as factors and baseline values as a covariate.

Results

Patient disposition and baseline characteristics

In AMPLE, 646 patients were randomised (abatacept, n=318; adalimumab, n=328), of whom 252 (79.2%) abatacept-treated and 245 (74.7%) adalimumab-treated patients completed year 2.10 Serum samples were available from 508 patients at baseline: 120 (23.6%) were anti-CCP2 negative and 388 (76.4%) were anti-CCP2 positive. The number of patients per treatment group was similar in each anti-CCP2 quartile, with no consistent differences in baseline characteristics across anti-CCP2 quartiles or treatment groups (table 1 and see supplementary table S1). Quartile limits are shown in table 1.
Table 1

Patient demographics and baseline characteristics

Quartile by anti-CCP2 concentration (AU/mL)
CCP2 negativeQ1, 28–235Q2, 236–609Q3, 613–1046Q4, 1060–4894
CharacteristicABA (n=66)ADA (n=54)ABA (n=42)ADA (n=55)ABA (n=51)ADA (n=46)ABA (n=46)ADA (n=51)ABA (n=46)ADA (n=51)
Age, years52.0 (24.0, 80.0)58.0 (21.0, 83.0)50.0 (22.0, 70.0)50.0 (19.0, 78.0)52.0 (21.0, 78.0)49.0 (22.0, 73.0)47.5 (25.0, 73.0)52.0 (26.0, 78.0)51.5 (19.0, 70.0)52.0 (27.0, 85.0)
Female, %84.885.288.183.680.487.082.680.478.372.5
White, %92.483.388.187.372.569.671.774.576.168.6
Geographic region, %
 North America86.490.771.463.670.667.465.260.852.264.7
 South America13.69.328.636.429.432.634.839.247.835.3
MTX dose at randomisation, mg/wk15.0 (7.5, 105.0)18.8 (7.5, 25.0)20.0 (10.0, 25.0)15.0 (7.5, 105)15.0 (7.5, 25.0)15.0 (7.5, 25.0)15.0 (12.5, 25.0)15.0 (10.0, 25.0)15.0 (7.5, 25.0)15.0 (7.5, 25.0)
Smoking status, %
 Current27.313.021.425.531.421.732.625.523.927.5
 Former21.229.614.320.015.719.610.917.634.815.7
 Never51.557.464.354.552.958.756.556.941.356.9
Disease duration, years1.0 (0.1, 4.6)1.3 (0.0, 4.7)1.8 (0.2, 4.5)1.6 (0.1, 5.1)1.7 (0.1, 5.1)1.2 (0.1, 4.5)1.8 (0.1, 4.8)1.7 (0.1, 5.1)2.0 (0.1, 4.8)1.4 (0.0, 5.0)
Physical function, HAQ-DI1.3 (0.0, 2.9)1.4 (0.0, 2.6)1.4 (0.0, 2.5)1.3 (0.0, 2.5)1.7 (0.0, 2.8)1.6 (0.0, 2.9)1.4 (0.0, 2.8)1.6 (0.0, 3.0)1.6 (0.0, 2.9)1.8 (0.0, 2.8)
CRP (mg/dL)0.6 (0.0, 10.4)0.6 (0.0, 42.2)0.8 (0.1, 8.4)0.6 (0.0, 4.8)0.9 (0.0, 9.4)1.3 (0.1, 5.8)0.9 (0.1, 11.3)1.0 (0.0, 9.0)0.9 (0.0, 13.9)0.7 (0.0, 11.8)
DAS28 (CRP)5.5 (2.5, 7.4)5.3 (3.0, 7.3)5.0 (3.1, 7.6)5.5 (3.1, 7.3)5.6 (3.5, 7.6)6.0 (2.8, 7.4)5.5 (2.8, 8.1)5.7 (3.7, 7.9)6.0 (2.7, 7.8)5.3 (1.7, 7.8)
RF positive, %42.451.985.792.798.093.5100.096.195.7100.0
RF concentration, U/mL4.7 (0.0, 368.6)6.1 (0.1, 388.3)119.5 (1.3, 500.9)137.5 (0.4, 500.9)225.6 (2.0, 500.9)270.9 (3.6, 500.9)298.9 (14.0, 500.9)266.9 (3.1, 500.9)377.1 (2.0, 500.9)351.0 (7.7, 500.9)
Total score (X-ray)3.5 (0.0, 86.5)6.5 (0.0, 114.5)7.0 (0.0, 232.5)8.5 (0.0, 143.0)16.5 (0.0, 209.5)8.5 (0.0, 201.0)7.5 (0.0, 97.0)7.0 (0.0, 144.0)8.5 (0.0, 161.5)9.0 (0.0, 107.0)

Data are expressed as median (min, max), unless otherwise stated.

ABA, abatacept; ADA, adalimumab; CCP2, cyclic citrullinated peptide-2; CRP, C reactive protein; DAS28, Disease Activity Score 28; HAQ-DI, Health Assessment Questionnaire Disability Index; MTX, methotrexate; Q, quartile; RF, rheumatoid factor.

Patient demographics and baseline characteristics Data are expressed as median (min, max), unless otherwise stated. ABA, abatacept; ADA, adalimumab; CCP2, cyclic citrullinated peptide-2; CRP, C reactive protein; DAS28, Disease Activity Score 28; HAQ-DI, Health Assessment Questionnaire Disability Index; MTX, methotrexate; Q, quartile; RF, rheumatoid factor.

Mean change from baseline in disease activity and disability

Although at least a ‘moderate’ EULAR response was observed in both treatment groups, improvements in DAS28 (CRP) were significantly less pronounced in patients who were anti-CCP2 negative at baseline than in those who were anti-CCP2 positive (figure 1A). The mean improvement in DAS28 (CRP) at day 729 for abatacept was significantly greater in Q4 than in Q1–Q3 combined (adjusted mean treatment difference (AMTD) (95% CI) Q1–Q3 vs Q4: –0.69 (–1.15 to –0.23); p=0.003), whereas in the adalimumab group, improvement was similar across all quartiles (AMTD (95% CI) Q1–Q3 vs Q4: –0.21 (–0.64 to 0.23); p=0.358). The AMTD (95% CI) for abatacept Q4 versus adalimumab Q4 was –0.45 (–1.00 to 0.10; p=0.112).
Figure 1

(A) Adjusted mean (SE) change from baseline in Disease Activity Score 28 (C reactive protein; DAS28 (CRP)) by baseline cyclic citrullinated peptide-2 (CCP2)-IgG status and quartile. Estimated mean treatment difference at day 729 for anti-CCP2 quartile (Q)1–Q3 combined vs Q4: subcutaneous (SC) abatacept p=0.003, SC adalimumab p=0.358; for anti-CCP2 negative (Neg) vs Q4: SC abatacept p<0.0001, SC adalimumab p=0.0006. (B) Adjusted mean (SE) change from baseline in Health Assessment Questionnaire Disability Index (HAQ-DI) by baseline CCP2-IgG status and quartile. Estimated mean treatment difference at day 729 for Q1–Q3 combined vs Q4: SC abatacept p=0.021, SC adalimumab p=0.735; for Neg vs Q4: SC abatacept p=0.002, SC adalimumab p=0.005. Adjusted mean changes from baseline were determined for each time point by analysis of covariance, with treatment and DAS28 (CRP) stratification as factors and baseline values as a covariate. Number of patients in each quartile group: Q1 (28–235)=97; Q2 (236–609)=97; Q3 (613–1046)=97; Q4 (1060–4894)=97; Neg (<25)=120.

(A) Adjusted mean (SE) change from baseline in Disease Activity Score 28 (C reactive protein; DAS28 (CRP)) by baseline cyclic citrullinated peptide-2 (CCP2)-IgG status and quartile. Estimated mean treatment difference at day 729 for anti-CCP2 quartile (Q)1–Q3 combined vs Q4: subcutaneous (SC) abatacept p=0.003, SC adalimumab p=0.358; for anti-CCP2 negative (Neg) vs Q4: SC abatacept p<0.0001, SC adalimumab p=0.0006. (B) Adjusted mean (SE) change from baseline in Health Assessment Questionnaire Disability Index (HAQ-DI) by baseline CCP2-IgG status and quartile. Estimated mean treatment difference at day 729 for Q1–Q3 combined vs Q4: SC abatacept p=0.021, SC adalimumab p=0.735; for Neg vs Q4: SC abatacept p=0.002, SC adalimumab p=0.005. Adjusted mean changes from baseline were determined for each time point by analysis of covariance, with treatment and DAS28 (CRP) stratification as factors and baseline values as a covariate. Number of patients in each quartile group: Q1 (28–235)=97; Q2 (236–609)=97; Q3 (613–1046)=97; Q4 (1060–4894)=97; Neg (<25)=120. A similar pattern was seen for HAQ-DI: mean changes from baseline were smallest in patients who were anti-CCP2 negative at baseline in both treatment groups (figure 1B). Mean change from baseline in HAQ-DI was similar across all anti-CCP2 quartiles for adalimumab, but significantly greater in abatacept Q4 than in Q1–Q3. The AMTD (95% CI) for Q1–Q3 versus Q4 for abatacept was –0.24 (–0.44 to –0.04; p=0.021), and for adalimumab was –0.03 (–0.23 to 0.16; p=0.735). The AMTD (95% CI) for abatacept Q4 versus adalimumab Q4 was –0.17 (–0.41 to 0.07; p=0.173).

Remission rates, DAS28 (CRP) <2.6 and ACR response rates

In both treatment groups, the percentage of patients achieving CDAI or SDAI remission or DAS28 (CRP) <2.6 was lower in the baseline anti-CCP2 antibody-negative subgroup than in the anti-CCP2 antibody-positive subgroup (figure 2). The percentages of patients achieving CDAI (figure 2A) and SDAI (figure 2B) remission were highest in Q4 versus Q1–Q3 in the abatacept, but not the adalimumab, treatment group at days 365 and 729; however, the percentage of patients achieving DAS28 (CRP) <2.6 was highest in Q4 for both abatacept and adalimumab (figure 2C). The trend in the anti-CCP2 interquartile differences was not as clear for ACR response rates (data not shown).
Figure 2

Percentage (95% CI) of patients achieving (A) Clinical Disease Activity Index (CDAI) remission rates by baseline cyclic citrullinated peptide-2 (CCP2)-IgG status and quartile. (B) Simplified Disease Activity Index (SDAI) remission rates by baseline CCP2-IgG status and quartile. (C) Disease Activity Score 28 (C reactive protein; DAS28 (CRP)) <2.6 by baseline CCP2-IgG status and quartile. p Values indicate the statistical significance of the estimated mean treatment difference at day 729 for anti-CCP2 quartile (Q)1–Q3 combined vs Q4 and for anti-CCP2 negative (Neg) vs Q4. Asterisks indicate p values ≤0.05. Number of patients in each quartile group: Q1 (28–235)=97; Q2 (236–609)=97; Q3 (613–1046)=97; Q4 (1060–4894)=97; Neg (<25)=120. SC, subcutaneous.

Percentage (95% CI) of patients achieving (A) Clinical Disease Activity Index (CDAI) remission rates by baseline cyclic citrullinated peptide-2 (CCP2)-IgG status and quartile. (B) Simplified Disease Activity Index (SDAI) remission rates by baseline CCP2-IgG status and quartile. (C) Disease Activity Score 28 (C reactive protein; DAS28 (CRP)) <2.6 by baseline CCP2-IgG status and quartile. p Values indicate the statistical significance of the estimated mean treatment difference at day 729 for anti-CCP2 quartile (Q)1–Q3 combined vs Q4 and for anti-CCP2 negative (Neg) vs Q4. Asterisks indicate p values ≤0.05. Number of patients in each quartile group: Q1 (28–235)=97; Q2 (236–609)=97; Q3 (613–1046)=97; Q4 (1060–4894)=97; Neg (<25)=120. SC, subcutaneous. Overall, CDAI and SDAI remission rates tended to be higher at day 729 than at day 365 regardless of treatment, anti-CCP2 status or concentration. At day 729, CDAI and SDAI remission rates were highest in the abatacept Q4 group.

Discussion

Both adalimumab and abatacept were more effective in patients who were anti-CCP2 positive than in those who were anti-CCP2 negative at baseline. However, there were differences in the pattern of response to the two treatments when assessed by baseline antibody concentration: abatacept treatment effects were more pronounced in the highest anti-CCP2 quartile than in lower quartiles, whereas this effect was not consistently demonstrated for adalimumab. Interquartile differences for abatacept were most prominent when assessed with continuous measures such as DAS28 (CRP) and HAQ-DI versus binary response measures, possibly due to the increased sensitivity to change of continuous measures. The improved clinical efficacy in anti-CCP2-positive versus anti-CCP2-negative patients for both adalimumab and abatacept suggests that ACPA status may be a relevant factor in predicting treatment response. In contrast to our results, previous studies have suggested that seropositive patients respond less well to tumour necrosis factor (TNF) inhibition than seronegative patients, or that response correlates inversely with autoantibody concentration.12–14 High baseline rheumatoid factor (RF) IgA concentration has been associated with poor response to TNF inhibitor therapy.15 The disparities between studies could be due to differences in patient populations, study setting or ACPA assay used; further study of predictive factors of treatment response in RA with standardisation of biomarker assays is warranted. The reason for the observed differential pattern of response across quartiles for abatacept and adalimumab is unknown, but may be related to their different mechanisms of action. Abatacept selectively modulates T-cell costimulation and autoantibody production via interaction with B cells, whereas adalimumab binds directly to TNF-α. The B-cell inhibitor rituximab has also been shown to be more effective in patients with RA who are ACPA or RF seropositive versus seronegative.16 In this analysis, 90% of patients in Q4 were also RF positive at baseline; in registry and cohort studies, better abatacept efficacy and retention has been found to be associated with double-positivity or higher ACPA concentration.17–20 Importantly, our analysis was a within-study comparison of two treatments, removing causes of variation inherent in cross-study comparisons. The trend for continued improvement in remission rates, particularly in the Q4 abatacept group, may suggest that the effects of costimulatory blockade increases over time. The clinical relevance of this observation is unknown. This exploratory analysis has some inherent limitations. Baseline serum samples were not available for all patients and there were differences in several baseline characteristics between groups (although differences were not consistent across quartiles or treatment groups). As the analysis was not preplanned, patients were not stratified by anti-CCP2 concentration at randomisation and lack of blinding in AMPLE may have influenced the patient-reported outcome measures. Additionally, there is no standard, universally accepted ACPA assay and so findings may have differed with an alternative assay. The anti-CCP2 ELISA used here demonstrated relative linearity across the assay standards and based on the distribution of measured concentrations in the anti-CCP2-positive population. In this exploratory analysis from the AMPLE study, treatment effects for both abatacept and adalimumab were greater in patients who were anti-CCP2 positive at baseline than in those who were anti-CCP2 negative. Higher baseline anti-CCP2 concentration correlated with better DAS28 (CRP) and HAQ-DI responses and greater CDAI and SDAI remission rates with abatacept but not with adalimumab (both on background MTX). The prognostic and predictive value of ACPA status and concentration in RA, however, needs to be further examined beyond this exploratory analysis to improve our understanding of the heterogeneity in response and inform treatment decision making in the clinic.
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Review 1.  Use and significance of anti-CCP autoantibodies in rheumatoid arthritis.

Authors:  A J W Zendman; W J van Venrooij; G J M Pruijn
Journal:  Rheumatology (Oxford)       Date:  2005-09-27       Impact factor: 7.580

2.  2010 Rheumatoid arthritis classification criteria: an American College of Rheumatology/European League Against Rheumatism collaborative initiative.

Authors:  Daniel Aletaha; Tuhina Neogi; Alan J Silman; Julia Funovits; David T Felson; Clifton O Bingham; Neal S Birnbaum; Gerd R Burmester; Vivian P Bykerk; Marc D Cohen; Bernard Combe; Karen H Costenbader; Maxime Dougados; Paul Emery; Gianfranco Ferraccioli; Johanna M W Hazes; Kathryn Hobbs; Tom W J Huizinga; Arthur Kavanaugh; Jonathan Kay; Tore K Kvien; Timothy Laing; Philip Mease; Henri A Ménard; Larry W Moreland; Raymond L Naden; Theodore Pincus; Josef S Smolen; Ewa Stanislawska-Biernat; Deborah Symmons; Paul P Tak; Katherine S Upchurch; Jirí Vencovský; Frederick Wolfe; Gillian Hawker
Journal:  Arthritis Rheum       Date:  2010-09

3.  A predictive model for remission and low disease activity in patients with established rheumatoid arthritis receiving TNF blockers.

Authors:  Cristina Pomirleanu; Codrina Ancuta; Smaranda Miu; Rodica Chirieac
Journal:  Clin Rheumatol       Date:  2013-01-06       Impact factor: 2.980

Review 4.  The influence of ACPA status and characteristics on the course of RA.

Authors:  Annemiek Willemze; Leendert A Trouw; René E M Toes; Tom W J Huizinga
Journal:  Nat Rev Rheumatol       Date:  2012-01-31       Impact factor: 20.543

5.  Specific autoantibodies precede the symptoms of rheumatoid arthritis: a study of serial measurements in blood donors.

Authors:  Markus M J Nielen; Dirkjan van Schaardenburg; Henk W Reesink; Rob J van de Stadt; Irene E van der Horst-Bruinsma; Margret H M T de Koning; Moud R Habibuw; Jan P Vandenbroucke; Ben A C Dijkmans
Journal:  Arthritis Rheum       Date:  2004-02

6.  Head-to-head comparison of subcutaneous abatacept versus adalimumab for rheumatoid arthritis: findings of a phase IIIb, multinational, prospective, randomized study.

Authors:  Michael E Weinblatt; Michael Schiff; Robert Valente; Désirée van der Heijde; Gustavo Citera; Cathy Zhao; Michael Maldonado; Roy Fleischmann
Journal:  Arthritis Rheum       Date:  2013-01

7.  Autoantibody epitope spreading in the pre-clinical phase predicts progression to rheumatoid arthritis.

Authors:  Jeremy Sokolove; Reuven Bromberg; Kevin D Deane; Lauren J Lahey; Lezlie A Derber; Piyanka E Chandra; Jess D Edison; William R Gilliland; Robert J Tibshirani; Jill M Norris; V Michael Holers; William H Robinson
Journal:  PLoS One       Date:  2012-05-25       Impact factor: 3.240

8.  Antibodies to citrullinated proteins and differences in clinical progression of rheumatoid arthritis.

Authors:  Annette H M van der Helm-van Mil; Kirsten N Verpoort; Ferdinand C Breedveld; René E M Toes; Tom W J Huizinga
Journal:  Arthritis Res Ther       Date:  2005-06-14       Impact factor: 5.156

Review 9.  The status of rheumatoid factor and anti-cyclic citrullinated peptide antibody are not associated with the effect of anti-TNFα agent treatment in patients with rheumatoid arthritis: a meta-analysis.

Authors:  Qianwen Lv; Yufeng Yin; Xin Li; Guangliang Shan; Xiangni Wu; Di Liang; Yongzhe Li; Xuan Zhang
Journal:  PLoS One       Date:  2014-02-27       Impact factor: 3.240

10.  Head-to-head comparison of subcutaneous abatacept versus adalimumab for rheumatoid arthritis: two-year efficacy and safety findings from AMPLE trial.

Authors:  Michael Schiff; Michael E Weinblatt; Robert Valente; Désirée van der Heijde; Gustavo Citera; Ayanbola Elegbe; Michael Maldonado; Roy Fleischmann
Journal:  Ann Rheum Dis       Date:  2013-08-20       Impact factor: 19.103

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Review 1.  Anti-citrullinated peptide antibodies and their value for predicting responses to biologic agents: a review.

Authors:  Emilio Martin-Mola; Alejandro Balsa; Rosario García-Vicuna; Juan Gómez-Reino; Miguel Angel González-Gay; Raimon Sanmartí; Estíbaliz Loza
Journal:  Rheumatol Int       Date:  2016-06-06       Impact factor: 2.631

2.  Economic Burden of Rheumatoid Arthritis in Italy: Possible Consequences on Anti-Citrullinated Protein Antibody-Positive Patients.

Authors:  Francesco Saverio Mennini; Andrea Marcellusi; Lara Gitto; Florenzo Iannone
Journal:  Clin Drug Investig       Date:  2017-04       Impact factor: 2.859

3.  High serum IgA and activated Th17 and Treg predict the efficacy of abatacept in patients with early, seropositive rheumatoid arthritis.

Authors:  Jun Inamo; Yuko Kaneko; Jun Kikuchi; Tsutomu Takeuchi
Journal:  Clin Rheumatol       Date:  2021-03-11       Impact factor: 2.980

4.  Rheumatoid arthritis: Autoantibody testing to predict response to therapy in RA.

Authors:  Leendert A Trouw; Rene E M Toes
Journal:  Nat Rev Rheumatol       Date:  2016-09-15       Impact factor: 20.543

5.  B lymphocyte alterations accompany abatacept resistance in new-onset type 1 diabetes.

Authors:  Peter S Linsley; Carla J Greenbaum; Cate Speake; S Alice Long; Matthew J Dufort
Journal:  JCI Insight       Date:  2019-02-21

Review 6.  [Biologicals and small molecules for rheumatoid arthritis].

Authors:  Stephan Blüml
Journal:  Z Rheumatol       Date:  2020-04       Impact factor: 1.372

7.  Tocilizumab treatment leads to improvement in disease activity regardless of CCP status in rheumatoid arthritis.

Authors:  Laura C Cappelli; Judy Lynn Palmer; Joel Kremer; Clifton O Bingham
Journal:  Semin Arthritis Rheum       Date:  2017-04-01       Impact factor: 5.532

8.  Baricitinib in Patients with Rheumatoid Arthritis and an Inadequate Response to Conventional Disease-Modifying Antirheumatic Drugs in United States and Rest of World: A Subset Analysis.

Authors:  Alvin F Wells; Maria Greenwald; John D Bradley; Jahangir Alam; Vipin Arora; Cynthia E Kartman
Journal:  Rheumatol Ther       Date:  2018-04-21

9.  Predictors of abatacept retention over 2 years in patients with rheumatoid arthritis: results from the real-world ACTION study.

Authors:  Rieke Alten; Xavier Mariette; Hanns-Martin Lorenz; Hubert Nüßlein; Mauro Galeazzi; Federico Navarro; Melanie Chartier; Julia Heitzmann; Coralie Poncet; Christiane Rauch; Manuela Le Bars
Journal:  Clin Rheumatol       Date:  2019-02-21       Impact factor: 2.980

10.  Impact of anti-citrullinated protein antibody on tumor necrosis factor inhibitor or abatacept response in patients with rheumatoid arthritis.

Authors:  Kathleen Tymms; Belinda Butcher; Tegan Smith; Geoffrey Littlejohn
Journal:  Eur J Rheumatol       Date:  2020-09-18
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