Literature DB >> 29985080

Predictive value of a multi-biomarker disease activity score for clinical remission and radiographic progression in patients with early rheumatoid arthritis: a post-hoc study of the OPERA trial.

C H Brahe1,2,3, M Østergaard1,2,3, J S Johansen4, N Defranoux5, X Wang5, R Bolce5, E H Sasso5, L M Ørnbjerg1,3, K Hørslev-Petersen6, K Stengaard-Pedersen7, P Junker8, T Ellingsen9, P Ahlquist10, H Lindegaard8, A Linauskas11, A Schlemmer12, M Y Dam9, I Hansen13, T Lottenburger10, C Ammitzbøll7, A Jørgensen7, S B Krintel1,3, J Raun6, M L Hetland1,2,3.   

Abstract

OBJECTIVES: Measurement of serum biomarkers at disease onset may improve prediction of disease course in patients with early rheumatoid arthritis (RA). We evaluated the multi-biomarker disease activity (MBDA) score and early changes in MBDA score for prediction of 28-joint Disease Activity Score based on C-reactive protein (DAS28-CRP) remission and radiographic progression in the double-blinded OPERA trial.
METHOD: Treatment-naïve RA patients (N = 180) with moderate or high DAS28 were randomized to methotrexate (MTX) + adalimumab (n = 89) or MTX + placebo (n = 91) in combination with glucocorticoid injection into swollen joints. X-rays of hands and feet were evaluated at months 0 and 12 (n = 164) by the total Sharp van der Heijde score (TSS). The smallest detectable change (1.8 TSS units) defined radiographic progression (∆TSS ≥ 2). Clinical remission (DAS28-CRP < 2.6) was assessed at baseline and 6 months. MBDA score was determined at 0 and 3 months and tested in a multivariable logistic regression model for predicting DAS28 remission at 6 months and radiographic progression at 1 year.
RESULTS: Baseline MBDA score was independently associated with radiographic progression at 1 year [odds ratio (OR) = 1.03/unit, 95% confidence interval (CI) = 1.01-1.06], and changes in MBDA score from baseline to 3 months with clinical remission at 6 months [OR = 0.98/unit, 95% CI 0.96-1.00). In anti-cyclic citrullinated peptide antibody (anti-CCP)-positive patients, 35 of 89 with high MBDA score (> 44) showed radiographic progression (PPV = 39%), compared with 0 of 15 patients (NPV = 100%) with low/moderate MBDA score (≤ 44) (p = 0.003).
CONCLUSION: Early changes in MBDA score were associated with clinical remission based on DAS28-CRP at 6 months. In anti-CCP-positive patients, a non-high baseline MBDA score (≤ 44) had a clinical value by predicting very low risk of radiographic progression at 12 months.

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Year:  2018        PMID: 29985080     DOI: 10.1080/03009742.2018.1464206

Source DB:  PubMed          Journal:  Scand J Rheumatol        ISSN: 0300-9742            Impact factor:   3.641


  5 in total

1.  Ultrasound and multi-biomarker disease activity score for assessing and predicting clinical response to tofacitinib treatment in patients with rheumatoid arthritis.

Authors:  Amir A Razmjou; Jenny Brook; David Elashoff; Gurjit Kaeley; Soo Choi; Tanaz Kermani; Veena K Ranganath
Journal:  BMC Rheumatol       Date:  2020-10-19

2.  A multi-biomarker disease activity score can predict sustained remission in rheumatoid arthritis.

Authors:  M H Y Ma; N Defranoux; W Li; E H Sasso; F Ibrahim; D L Scott; A P Cope
Journal:  Arthritis Res Ther       Date:  2020-06-24       Impact factor: 5.156

3.  The Relation Between Disease Activity, Patient-Reported Outcomes, and Grip Force Over Time in Early Rheumatoid Arthritis.

Authors:  Maria Rydholm; Ingegerd Wikström; Sofia Hagel; Lennart T H Jacobsson; Carl Turesson
Journal:  ACR Open Rheumatol       Date:  2019-08-19

4.  Validation of the adjusted multi-biomarker disease activity score as a prognostic test for radiographic progression in rheumatoid arthritis: a combined analysis of multiple studies.

Authors:  Jeffrey R Curtis; Michael E Weinblatt; Nancy A Shadick; Cecilie H Brahe; Mikkel Østergaard; Merete Lund Hetland; Saedis Saevarsdottir; Megan Horton; Brent Mabey; Darl D Flake; Rotem Ben-Shachar; Eric H Sasso; T W Huizinga
Journal:  Arthritis Res Ther       Date:  2021-01-04       Impact factor: 5.156

Review 5.  Biomarker discovery studies for patient stratification using machine learning analysis of omics data: a scoping review.

Authors:  Enrico Glaab; Armin Rauschenberger; Rita Banzi; Chiara Gerardi; Paula Garcia; Jacques Demotes
Journal:  BMJ Open       Date:  2021-12-06       Impact factor: 2.692

  5 in total

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