A1 Refereed original research article in a scientific journal
Patient-reported outcomes as predictors of remission in early rheumatoid arthritis patients treated with tight control treat-to-target approach
Authors: Kuusalo L, Puolakka K, Kautiainen H, Karjalainen A, Malmi T, Yli-Kerttula T, Leirisalo-Repo M, Rantalaiho V
Publisher: SPRINGER HEIDELBERG
Publication year: 2017
Journal: Rheumatology International
Journal name in source: RHEUMATOLOGY INTERNATIONAL
Journal acronym: RHEUMATOL INT
Volume: 37
Issue: 5
First page : 825
Last page: 830
Number of pages: 6
ISSN: 0172-8172
eISSN: 1437-160X
DOI: https://doi.org/10.1007/s00296-017-3692-7
Abstract
Identifying prognostic factors for remission in early rheumatoid arthritis (ERA) patients is of key clinical importance. We studied patient-reported outcomes (PROs) as predictors of remission in a clinical trial. We randomized 99 untreated ERA patients to receive remission-targeted treatment with three disease-modifying antirheumatic drugs and prednisolone for 24 months, and infliximab or placebo for the initial 6 months. At baseline, we measured following PROs: eight Short Form 36 questionnaire (SF-36) dimensions, patient's global assessment [PGA, visual analogue scale (VAS)], Health Assessment Questionnaire (HAQ), and pain VAS. We used multivariable-adjusted regression models to identify PROs that independently predicted modified American College of Rheumatology remission at 2 years. Follow-up data at 2 years were available for 93 patients (92%), and 58 patients (62%) were in remission. At baseline, patients who achieved remission had higher radiological score (p = 0.04), lower tender joint count (p = 0.001), lower PGA (p = 0.005) and physician's global assessment (p = 0.019), lower HAQ (p = 0.016), less morning stiffness (p = 0.009), and significantly higher scores in seven out of eight SF-36 dimensions compared with patients who did not. In multivariable models that included all PROs, remission was associated with SF-36 dimensions higher vitality (odds ratio 2.01; 95% confidence interval 1.19-3.39) and better emotional role functioning (odds ratio 1.64; 95% confidence interval 1.01-2.68). PGA, pain VAS, HAQ, and other SF-36 dimensions were not associated with remission. We conclude that self-reported vitality and better emotional role functioning are among the most important PROs for the prediction of remission in ERA.
Identifying prognostic factors for remission in early rheumatoid arthritis (ERA) patients is of key clinical importance. We studied patient-reported outcomes (PROs) as predictors of remission in a clinical trial. We randomized 99 untreated ERA patients to receive remission-targeted treatment with three disease-modifying antirheumatic drugs and prednisolone for 24 months, and infliximab or placebo for the initial 6 months. At baseline, we measured following PROs: eight Short Form 36 questionnaire (SF-36) dimensions, patient's global assessment [PGA, visual analogue scale (VAS)], Health Assessment Questionnaire (HAQ), and pain VAS. We used multivariable-adjusted regression models to identify PROs that independently predicted modified American College of Rheumatology remission at 2 years. Follow-up data at 2 years were available for 93 patients (92%), and 58 patients (62%) were in remission. At baseline, patients who achieved remission had higher radiological score (p = 0.04), lower tender joint count (p = 0.001), lower PGA (p = 0.005) and physician's global assessment (p = 0.019), lower HAQ (p = 0.016), less morning stiffness (p = 0.009), and significantly higher scores in seven out of eight SF-36 dimensions compared with patients who did not. In multivariable models that included all PROs, remission was associated with SF-36 dimensions higher vitality (odds ratio 2.01; 95% confidence interval 1.19-3.39) and better emotional role functioning (odds ratio 1.64; 95% confidence interval 1.01-2.68). PGA, pain VAS, HAQ, and other SF-36 dimensions were not associated with remission. We conclude that self-reported vitality and better emotional role functioning are among the most important PROs for the prediction of remission in ERA.
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