Literature DB >> 26631102

Predictive factors for achieving low disease activity at 52 weeks after switching from tumor necrosis factor inhibitors to abatacept: results from a multicenter observational cohort study of Japanese patients.

Toshihisa Kojima1, Nobunori Takahashi2, Atsushi Kaneko3, Daihei Kida3, Yuji Hirano4, Takayoshi Fujibayashi5, Yuichiro Yabe6, Hideki Takagi7, Takeshi Oguchi8, Hiroyuki Miyake9, Takefumi Kato10, Tsuyoshi Watanabe11, Masatoshi Hayashi12, Tomone Shioura13, Yasuhide Kanayama14, Koji Funahashi2, Shuji Asai2, Yutaka Yoshioka2, Kenya Terabe2, Toki Takemoto2, Nobuyuki Asai2, Naoki Ishiguro2.   

Abstract

This study aimed to identify predictive factors for achieving low disease activity (LDA) in rheumatoid arthritis (RA) patients switching from tumor necrosis factor inhibitors (TNFis) to abatacept (ABT). Patients who were registered in the multicenter observational Tsurumai Biologics Communication Registry (TBCR) were enrolled in this study. Predictive factors for LDA achievement at each time point were determined by univariate and multivariate logistic regression analyses. The cutoffs of 28-point count Disease Activity Score (DAS28)-C-reactive protein (CRP) and ΔDAS28-CRP from baseline up to 24 weeks for LDA achievement at 52 weeks were explored using receiver operating characteristic (ROC) curves. Of 2771 RA patients registered until 2013, 76 with moderate or high disease activity were selected. Twenty-six percent of the patients achieved LDA. Multivariate analysis confirmed that DAS28-CRP at 12 weeks and ΔDAS28-CRP from baseline to 12 weeks were independent factors for LDA achievement at 52 weeks [odds ratio (OR) 0.26, 95% confident interval (CI) (0.12-0.56), OR 0.25, 95% CI (0.11-0.57), respectively]. The best cutoff values of DAS28-CRP at 12 weeks and ΔDAS28-CRP from baseline to 12 weeks for LDA at 52 weeks were 3.9 (sensitivity 0.85, specificity 0.78) and -0.97 (sensitivity 0.70, specificity 0.70), respectively. Seventy-one percent of patients who achieved both of these cutoff values at 12 weeks achieved LDA at 52 weeks. Our findings suggest that the clinical course up to 12 weeks is important for predicting long-term outcomes when switching from TNFis to ABT.

Entities:  

Keywords:  Abatacept; Biologics; Predictive factors; Rheumatoid arthritis; Tumor necrosis factor inhibitor

Mesh:

Substances:

Year:  2015        PMID: 26631102     DOI: 10.1007/s10067-015-3135-3

Source DB:  PubMed          Journal:  Clin Rheumatol        ISSN: 0770-3198            Impact factor:   2.980


  14 in total

1.  Comparison of Disease Activity Score (DAS)28- erythrocyte sedimentation rate and DAS28- C-reactive protein threshold values.

Authors:  Eisuke Inoue; Hisashi Yamanaka; Masako Hara; Taisuke Tomatsu; Naoyuki Kamatani
Journal:  Ann Rheum Dis       Date:  2006-08-22       Impact factor: 19.103

2.  Study protocol of a multicenter registry of patients with rheumatoid arthritis starting biologic therapy in Japan: Tsurumai Biologics Communication Registry (TBCR) study.

Authors:  Toshihisa Kojima; Atsushi Kaneko; Yuji Hirano; Hisato Ishikawa; Hiroyuki Miyake; Takeshi Oguchi; Hideki Takagi; Yuichiro Yabe; Takefumi Kato; Takayasu Ito; Kenya Terabe; Naoki Fukaya; Yasuhide Kanayama; Tomone Shioura; Koji Funahashi; Masatoshi Hayashi; Daizo Kato; Hiroyuki Matsubara; Takayoshi Fujibayashi; Masayo Kojima; Naoki Ishiguro
Journal:  Mod Rheumatol       Date:  2011-09-03       Impact factor: 3.023

Review 3.  EULAR recommendations for the management of rheumatoid arthritis with synthetic and biological disease-modifying antirheumatic drugs.

Authors:  Josef S Smolen; Robert Landewé; Ferdinand C Breedveld; Maxime Dougados; Paul Emery; Cecile Gaujoux-Viala; Simone Gorter; Rachel Knevel; Jackie Nam; Monika Schoels; Daniel Aletaha; Maya Buch; Laure Gossec; Tom Huizinga; Johannes W J W Bijlsma; Gerd Burmester; Bernard Combe; Maurizio Cutolo; Cem Gabay; Juan Gomez-Reino; Marios Kouloumas; Tore K Kvien; Emilio Martin-Mola; Iain McInnes; Karel Pavelka; Piet van Riel; Marieke Scholte; David L Scott; Tuulikki Sokka; Guido Valesini; Ronald van Vollenhoven; Kevin L Winthrop; John Wong; Angela Zink; Désirée van der Heijde
Journal:  Ann Rheum Dis       Date:  2010-05-05       Impact factor: 19.103

4.  Disease Activity Score 28 (DAS28) using C-reactive protein underestimates disease activity and overestimates EULAR response criteria compared with DAS28 using erythrocyte sedimentation rate in a large observational cohort of rheumatoid arthritis patients in Japan.

Authors:  Toshihiro Matsui; Yoshiaki Kuga; Atsushi Kaneko; Jinju Nishino; Yoshito Eto; Noriyuki Chiba; Masayuki Yasuda; Koichiro Saisho; Kota Shimada; Shigeto Tohma
Journal:  Ann Rheum Dis       Date:  2007-03-16       Impact factor: 19.103

Review 5.  The efficacy of biologic agents in patients with rheumatoid arthritis and an inadequate response to tumour necrosis factor inhibitors: a systematic review.

Authors:  Robert J Moots; Barbara Naisbett-Groet
Journal:  Rheumatology (Oxford)       Date:  2012-09-01       Impact factor: 7.580

Review 6.  Efficacy of biological disease-modifying antirheumatic drugs: a systematic literature review informing the 2013 update of the EULAR recommendations for the management of rheumatoid arthritis.

Authors:  Jackie L Nam; Sofia Ramiro; Cecile Gaujoux-Viala; Kaoru Takase; Mario Leon-Garcia; Paul Emery; Laure Gossec; Robert Landewe; Josef S Smolen; Maya H Buch
Journal:  Ann Rheum Dis       Date:  2014-01-07       Impact factor: 19.103

7.  Treating rheumatoid arthritis to target: recommendations of an international task force.

Authors:  Josef S Smolen; Daniel Aletaha; Johannes W J Bijlsma; Ferdinand C Breedveld; Dimitrios Boumpas; Gerd Burmester; Bernard Combe; Maurizio Cutolo; Maarten de Wit; Maxime Dougados; Paul Emery; Alan Gibofsky; Juan Jesus Gomez-Reino; Boulos Haraoui; Joachim Kalden; Edward C Keystone; Tore K Kvien; Iain McInnes; Emilio Martin-Mola; Carlomaurizio Montecucco; Monika Schoels; Désirée van der Heijde; Desirée van der Heijde
Journal:  Ann Rheum Dis       Date:  2010-03-09       Impact factor: 19.103

8.  Clinical efficacy of abatacept compared to adalimumab and tocilizumab in rheumatoid arthritis patients with high disease activity.

Authors:  Nobunori Takahashi; Toshihisa Kojima; Atsushi Kaneko; Daihei Kida; Yuji Hirano; Takayoshi Fujibayashi; Yuichiro Yabe; Hideki Takagi; Takeshi Oguchi; Hiroyuki Miyake; Takefumi Kato; Naoki Fukaya; Hisato Ishikawa; Masatoshi Hayashi; Seiji Tsuboi; Yasuhide Kanayama; Daizo Kato; Koji Funahashi; Hiroyuki Matsubara; Yosuke Hattori; Masahiro Hanabayashi; Shinya Hirabara; Kenya Terabe; Yutaka Yoshioka; Naoki Ishiguro
Journal:  Clin Rheumatol       Date:  2013-09-22       Impact factor: 2.980

9.  EULAR recommendations for the management of rheumatoid arthritis with synthetic and biological disease-modifying antirheumatic drugs: 2013 update.

Authors:  Josef S Smolen; Robert Landewé; Ferdinand C Breedveld; Maya Buch; Gerd Burmester; Maxime Dougados; Paul Emery; Cécile Gaujoux-Viala; Laure Gossec; Jackie Nam; Sofia Ramiro; Kevin Winthrop; Maarten de Wit; Daniel Aletaha; Neil Betteridge; Johannes W J Bijlsma; Maarten Boers; Frank Buttgereit; Bernard Combe; Maurizio Cutolo; Nemanja Damjanov; Johanna M W Hazes; Marios Kouloumas; Tore K Kvien; Xavier Mariette; Karel Pavelka; Piet L C M van Riel; Andrea Rubbert-Roth; Marieke Scholte-Voshaar; David L Scott; Tuulikki Sokka-Isler; John B Wong; Désirée van der Heijde
Journal:  Ann Rheum Dis       Date:  2013-10-25       Impact factor: 19.103

10.  Clinical efficacy of abatacept, tocilizumab, and etanercept in Japanese rheumatoid arthritis patients with inadequate response to anti-TNF monoclonal antibodies.

Authors:  Shinya Hirabara; Nobunori Takahashi; Naoki Fukaya; Hiroyuki Miyake; Yuichiro Yabe; Atsushi Kaneko; Takayasu Ito; Takeshi Oguchi; Daihei Kida; Yuji Hirano; Takayoshi Fujibayashi; Fumiaki Sugiura; Masatoshi Hayashi; Koji Funahashi; Masahiro Hanabayashi; Shuji Asai; Naoki Ishiguro; Toshihisa Kojima
Journal:  Clin Rheumatol       Date:  2014-06-28       Impact factor: 2.980

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