4.5 Article

Adherence to Treat-to-target Management in Rheumatoid Arthritis and Associated Factors: Data from the International RA BIODAM Cohort

Journal

JOURNAL OF RHEUMATOLOGY
Volume 47, Issue 6, Pages 809-819

Publisher

J RHEUMATOL PUBL CO
DOI: 10.3899/jrheum.190303

Keywords

RHEUMATOID ARTHRITIS; BEST TREATMENT PRACTICES; TREAT-TO-TARGET

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Funding

  1. AbbVie Corp.

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Objective. Compelling evidence supports a treat-to-target (T2T) strategy for optimal outcomes in rheumatoid arthritis (RA). There is limited knowledge regarding the factors that impede implementation of T2T, particularly in a setting where adherence to T2T is protocol-specified. We aimed to assess clinical factors that associate with failure to adhere to T2T. Methods. Patients with RA from 10 countries who were starting or changing conventional synthetic disease-modifying antirheumatic drugs and/or starting tumor necrosis factor inhibitors were followed for 2 years. Participating physicians were required per protocol to adhere to the T2T strategy. Factors influencing adherence to T2T low disease activity (T2T-LDA; 44-joint count Disease Activity Score <= 2.4) were analyzed in 2 types of binomial generalized estimating equations models: (1) including only baseline features (baseline model); and (2) modeling variables that inherently vary over time as such (longitudinal model). Results. A total of 571 patients were recruited and 439 (76.9%) completed 2-year followup. Failure of adherence to T2T-LDA was noted in 1765 visits (40.5%). In the baseline multivariable model, a high number of comorbidities (OR 1.10, 95% CI 1.02-1.19), smoking (OR 1.32, 95% CI 1.08-1.63) and high number of tender joints (OR 1.03, 95% CI 1.02-1.04) were independently associated with failure to implement T2T, while anticitrullinated protein antibody/rheumatoid factor positivity (OR 0.63, 95% CI 0.50-0.80) was a significant facilitator of T2T. Results were similar in the longitudinal model. Conclusion. Lack of adherence to T2T in the RA BIODAM cohort was evident in a substantial proportion despite being a protocol requirement, and this could be predicted by clinical features

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