Literature DB >> 30442830

Uptake and Clinical Utility of Multibiomarker Disease Activity Testing in the United States.

Jeffrey R Curtis1,2, Fenglong Xie3,4, Shuo Yang3,4, Maria I Danila3,4, Justin K Owensby3,4, Lang Chen3,4.   

Abstract

OBJECTIVE: The clinical utility of the multibiomarker disease activity (MBDA) test for rheumatoid arthritis (RA) management in routine care in the United States has not been thoroughly studied.
METHODS: Using 2011-2015 Medicare data, we linked each patient with RA to their MBDA test result. Initiation of a biologic or Janus kinase (JAK) inhibitor in the 6 months following MBDA testing was described. Multivariable adjustment evaluated the likelihood of adding or switching biologic/JAK inhibitor, controlling for potential confounders. For patients with high MBDA scores who added a new RA therapy and were subsequently retested, lack of improvement in the MBDA score was evaluated as a predictor of future RA medication failure, defined by the necessity to change RA medications again.
RESULTS: Among 60,596 RA patients with MBDA testing, the proportion adding or switching biologics/JAK inhibitor among those not already taking a biologic/JAK inhibitor was 9.0% (low MBDA), 11.8% (moderate MBDA), and 19.7% (high MBDA, p < 0.0001). Similarly, among those already taking biologics/JAK inhibitor, the proportions were 5.2%, 8.3%, and 13.5% (p < 0.0001). After multivariable adjustment, referent to those with low disease MBDA scores, the likelihood of switching was 1.51-fold greater (95% CI 1.35-1.69) for patients with moderate MBDA scores, and 2.62 (2.26-3.05) for patients with high MBDA scores. Among those with high MBDA scores who subsequently added a biologic/JAK inhibitor and were retested, lack of improvement in the MBDA score category was associated with likelihood of future RA treatment failure (OR 1.61, 95% CI 1.27-2.03).
CONCLUSION: The MBDA score was associated with both biologic and JAK inhibitor medication addition/switching and subsequent treatment outcomes.

Entities:  

Keywords:  BIOLOGICS; BIOMARKER; MEDICATION PERSISTENCE; MEDICATION SWITCHING; RHEUMATOID ARTHRITIS

Mesh:

Substances:

Year:  2018        PMID: 30442830      PMCID: PMC6411282          DOI: 10.3899/jrheum.180071

Source DB:  PubMed          Journal:  J Rheumatol        ISSN: 0315-162X            Impact factor:   4.666


  21 in total

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3.  Linkage of a de-identified United States rheumatoid arthritis registry with administrative data to facilitate comparative effectiveness research.

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4.  Impact of a multi-biomarker disease activity test on rheumatoid arthritis treatment decisions and therapy use.

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5.  Validation of a novel multibiomarker test to assess rheumatoid arthritis disease activity.

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7.  Clinical disease activity and acute phase reactant levels are discordant among patients with active rheumatoid arthritis: acute phase reactant levels contribute separately to predicting outcome at one year.

Authors:  Jonathan Kay; Olga Morgacheva; Susan P Messing; Joel M Kremer; Jeffrey D Greenberg; George W Reed; Ellen M Gravallese; Daniel E Furst
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8.  Cluster-Randomized Trial of a Behavioral Intervention to Incorporate a Treat-to-Target Approach to Care of US Patients With Rheumatoid Arthritis.

Authors:  Leslie R Harrold; George W Reed; Ani John; Christine J Barr; Kevin Soe; Robert Magner; Katherine C Saunders; Eric M Ruderman; Tmirah Haselkorn; Jeffrey D Greenberg; Allan Gibofsky; J Timothy Harrington; Joel M Kremer
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9.  Multibiomarker disease activity score and C-reactive protein in a cross-sectional observational study of patients with rheumatoid arthritis with and without concomitant fibromyalgia.

Authors:  Yvonne C Lee; James Hackett; Michelle Frits; Christine K Iannaccone; Nancy A Shadick; Michael E Weinblatt; Oscar G Segurado; Eric H Sasso
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10.  A somatization comorbidity phenotype impacts response to therapy in rheumatoid arthritis: post-hoc results from the certolizumab pegol phase 4 PREDICT trial.

Authors:  Jeffrey R Curtis; Christopher Herrem; 'Matladi N Ndlovu; Cathy O'Brien; Yusuf Yazici
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  1 in total

1.  Derivation and internal validation of a multi-biomarker-based cardiovascular disease risk prediction score for rheumatoid arthritis patients.

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Journal:  Arthritis Res Ther       Date:  2020-12-04       Impact factor: 5.156

  1 in total

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