Literature DB >> 34935282

Early control of C-reactive protein levels with non-biologics is associated with slow radiographic progression in radiographic axial spondyloarthritis.

Bon San Koo1, Seunghun Lee2, Ji Seon Oh3, Seo Young Park4, Ga Young Ahn5, Ji Hui Shin6, Kyung Bin Joo6, Tae-Hwan Kim6.   

Abstract

AIM: Predicting radiographic progression is vital for assessing the prognosis of patients with radiographic axial spondyloarthritis, and C-reactive protein (CRP) may be a valuable biomarker for this purpose. This study aimed to investigate the relationship between changes in the CRP level and spinal radiographic progression in patients with radiographic axial spondyloarthritis who were initially treated with non-biologics.
METHODS: Patients with radiographic axial spondyloarthritis who were followed up for 18 years at a single center and initially treated with nonsteroidal anti-inflammatory drugs and/or conventional disease-modifying antirheumatic drugs for 3 months were included. Patients with a CRP level of <0.8 mg/dL or 50% of the baseline CRP at 3 months were assigned to the controlled CRP group (n = 351), and the remaining patients were assigned to the uncontrolled CRP group (n = 452). A generalized estimating equation was used to analyze the differences in the modified Stoke Ankylosing Spondylitis Spinal Score (mSASSS) between the 2 groups.
RESULTS: The increase in the mSASSS was slower in the controlled CRP group than in the uncontrolled CRP group (interaction term β = -.499, 95% confidence interval -0.699 to -0.300).
CONCLUSION: Controlled CRP achieved in response to initial treatment with non-biologic agents for 3 months was significantly associated with a slower rate of spinal radiographic change in patients with radiographic axial spondyloarthritis. The CRP level at 3 months after initial non-biologic treatment is a good predictor of radiographic progression.
© 2021 Asia Pacific League of Associations for Rheumatology and John Wiley & Sons Australia, Ltd.

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Keywords:  C-reactive protein; ankylosing spondylitis; prognosis; radiography

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Year:  2021        PMID: 34935282     DOI: 10.1111/1756-185X.14268

Source DB:  PubMed          Journal:  Int J Rheum Dis        ISSN: 1756-1841            Impact factor:   2.454


  1 in total

1.  A pilot study on deep learning-based grading of corners of vertebral bodies for assessment of radiographic progression in patients with ankylosing spondylitis.

Authors:  Bon San Koo; Jae Joon Lee; Jae-Woo Jung; Chang Ho Kang; Kyung Bin Joo; Tae-Hwan Kim; Seunghun Lee
Journal:  Ther Adv Musculoskelet Dis       Date:  2022-07-22       Impact factor: 3.625

  1 in total

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