Rheumatology International

, Volume 34, Issue 1, pp 85–92 | Cite as

Factors associated with time to diagnosis in early rheumatoid arthritis

  • Cheryl Barnabe
  • Juan Xiong
  • Janet E. Pope
  • Gilles Boire
  • Carol Hitchon
  • Boulos Haraoui
  • J. Carter Thorne
  • Diane Tin
  • Edward C. Keystone
  • Vivian P. Bykerk
  • Canadian early ArThritis CoHort (CATCH) Study Investigators
Original Article

Abstract

Early diagnosis and treatment yield optimal outcomes in rheumatoid arthritis (RA); thus, barriers to disease recognition must be identified and addressed. We determined the impact of sociodemographic factors, medical comorbidities, family history, and disease severity at onset on the time to diagnosis in early RA. The Canadian early ArThritis CoHort study data on 1,142 early RA patients were analyzed for predictors of time to diagnosis using regression analysis. Sociodemographic factors (age, sex, income strata, education, ethnicity), measures of disease activity (joint counts, DAS28 score, acute-phase reactants, patient global evaluation, function), family history, serology, chronic musculoskeletal and mental health conditions, and obesity at diagnosis were considered. In multivariate linear regression analysis, more swollen joints (β = −0.047 per joint, 95 % CI −0.085, −0.010, p = 0.014), higher erythrocyte sedimentation rate (ESR) (β = −0.012 per 1 mm/h, 95 % CI −0.022, −0.002, p = 0.0018), and worse patient global scores (β = −0.082 per 1 unit on a visual analogue scale, 95 % CI −0.158, −0.006, p = 0.034) at baseline predicted a shorter time to diagnosis. Anti-cyclic citrullinated peptide (anti-CCP) antibody positivity (β = 0.688, 95 % CI 0.261, 1.115, p = 0.002) and low income (annual <$20,000 β = 1.185, 95 % CI 0.227, 2.143, p = 0.015; annual $20,000–50,000 β = 0.933, 95 % CI 0.069, 1.798, p = 0.034) increased time to diagnosis. In the logistic regression models, the odds of being diagnosed within 6 months of symptom onset were increased for each swollen joint present [odds ratio (OR) 1.04, 95 % CI 1.02–1.06 per joint], each 1 mm/h elevation in the ESR (OR 1.01, 95 % CI 1.00–1.02), and decreased for patients who were either rheumatoid factor or anti-CCP positive compared to both factors being negative (OR 0.68, 95 % CI 0.51–0.91). Higher disease activity results in a more rapid diagnosis for Canadian patients with early RA, but those with lower income have delays in diagnosis. Strategies to identify patients with a less severe disease presentation and in lower socioeconomic strata are needed to ensure equal opportunity for optimal management.

Keywords

Rheumatoid arthritis Early treatment Access to care Health accessibility 

Notes

Acknowledgments

Daming Lin provided assistance with analysis.

Conflict of interest

The CATCH study was designed and implemented by the investigators and financially supported initially by Amgen Canada Inc. and Pfizer Canada Inc. via an unrestricted research grant since inception. As of 2010, further support was provided by Hoffmann-La Roche Ltd., United Chemicals of Belgium (UCB) Canada Inc., Bristol-Myers Squibb Canada Co., Abbvie Laboratories Ltd., and Janssen Biotech Inc. (a wholly owned subsidiary of Johnson & Johnson Inc.).

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Cheryl Barnabe
    • 1
  • Juan Xiong
    • 2
  • Janet E. Pope
    • 3
  • Gilles Boire
    • 4
  • Carol Hitchon
    • 5
  • Boulos Haraoui
    • 6
  • J. Carter Thorne
    • 7
  • Diane Tin
    • 7
  • Edward C. Keystone
    • 8
  • Vivian P. Bykerk
    • 2
    • 9
  • Canadian early ArThritis CoHort (CATCH) Study Investigators
  1. 1.Departments of Medicine and Community Health SciencesUniversity of CalgaryCalgaryCanada
  2. 2.Rheumatology, Mount Sinai HospitalUniversity of TorontoTorontoCanada
  3. 3.Department of MedicineUniversity of Western OntarioLondonCanada
  4. 4.Département de MédecineUniversité de SherbrookeSherbrookeCanada
  5. 5.Department of MedicineUniversity of ManitobaWinnipegCanada
  6. 6.Department of RheumatologyCentre Hospitalier de l’Universite de MontrealMontrealCanada
  7. 7.Southlake Regional Health CentreNewmarketCanada
  8. 8.Department of MedicineUniversity of TorontoTorontoCanada
  9. 9.Hospital for Special SurgeryWeill Cornell Medical CollegeNew YorkUSA

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