Skip to main content

Advertisement

Log in

The impact of gender on time to rheumatoid arthritis classification: a retrospective analysis of a population-based cohort

  • Observational Research
  • Published:
Rheumatology International Aims and scope Submit manuscript

Abstract

The objective is to compare the time to fulfillment of 1987 and 2010 ACR/EULAR classification criteria between female and male patients with rheumatoid arthritis (RA) and to assess the potential impact of gender on the time to DMARD therapy. Time from first provider-documented joint swelling to fulfillment of 1987 and 2010 ACR/EULAR criteria was measured in a population-based cohort of adults with incident RA, who were stratified by male or female gender. Disease characteristics, time to start of DMARD therapy, and choice of initial DMARD were compared between groups. The study included 214 patients with RA (148 females and 66 males). Median times from first joint swelling to fulfillment of 1987 (6.5 vs 2.5 days, p = 0.48) and 2010 (1 vs 0 days, p = 0.34) classification criteria were not different between female and male patients overall. There was no difference in time to first DMARD therapy in female vs male patients (15.5 vs 16 days, p = 0.90), and methotrexate was used most frequently as first DMARD in both genders (61% female vs 64% male, p = 0.76). Among the 49 female and 20 male RF/ACPA-negative patients, females experienced a higher median time from first joint swelling to fulfillment of the 1987 (65 vs 11 days, p = 0.063) and 2010 (65 vs 0 days, p = 0.035) classification criteria. Overall, there was no significant delay in meeting 1987 and 2010 ACR/EULAR classification criteria between female and male RA patients, though time to meeting both 1987 and 2010 criteria was slightly longer in males compared with females. Among seronegative patients, females experienced a significant delay to meeting 2010 criteria from first clinically detected synovitis.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. Aletaha D, Neogi T, Silman AJ, Funovits J, Felson DT, Bingham CO et al (2010) 2010 Rheumatoid arthritis classification criteria: an American college of rheumatology/European league against rheumatism collaborative initiative. Arthritis Rheum 62:2569–2581

    Article  Google Scholar 

  2. Krasselt M, Baerwald C (2017) Sex, symptom severity, and quality of life in rheumatology. Clin Rev Allergy Immunol. https://doi.org/10.1007/s12016-017-863:1-16

    Article  Google Scholar 

  3. Forslind K, Hafström I, Ahlmén M, Svensson B, BARFOT Study Group (2007) Sex: a major predictor of remission in early rheumatoid arthritis? Ann Rheum Dis 66:46–52

    Article  CAS  Google Scholar 

  4. Bergstra SA, Allaart CF, Ramiro S, Chopra A, Govind N, Silva C, Murphy EA, Landewe RBM (2018) Sex-associated treatment differences and their outcomes in rheumatoid arthritis: results from the METEOR Register. J Rheum 45:1361–1366

    Article  CAS  Google Scholar 

  5. Sokka T, Toloza S, Cutolo M, Kautiainen H, Makinen H, Gogus F, Skakic V et al (2009) Women, men, and rheumatoid arthritis: analyses of disease activity, disease characteristics, and treatments in the QUEST-RA study. Arthritis Res Ther 11:R7

    PubMed  PubMed Central  Google Scholar 

  6. Jawaheer D, Maranian P, Park G, Lahiff M, Amjadi SS, Paulus HE (2010) Disease progression and treatment responses in a prospective DMARD-naïve seropositive early rheumatoid arthritis cohort: does gender matter? J Rheum 37:2475–2485

    Article  Google Scholar 

  7. Hallert E, Thyberg I, Hass U, Skargren E, Skogh T (2003) Comparison between women and men with recent onset rheumatoid arthritis of disease activity and functional ability over 2 years (the TIRA project). Ann Rheum Dis 62:667–670

    Article  CAS  Google Scholar 

  8. Bukhari MA, Wiles NJ, Lunt M, Harrison BJ, Scott DG, Symmons DP et al (2003) Influence of disease-modifying therapy on radiographic outcome in inflammatory polyarthritis at five years: results from a large observational inception study. Arthritis Rheum 48:46–53

    Article  CAS  Google Scholar 

  9. Van Nies JAB, Tsonaka R, Gaujoux-Viala C, Fautrel B, van der Helm-van Mil AHM (2015) Evaluating relationships between symptoms duration and persistence of rheumatoid arthritis: does a window of opportunity exist? Results on the Leiden Early Arthritis Clinic and ESPOIR cohorts. Ann Rheum Dis 74:806–812

    Article  Google Scholar 

  10. van Nies JA, Krabben A, Schoones JW, Huizinga TWJ, Kloppenburg M, van der Helm-van Mil AHM (2014) What is the evidence for the presence of a therapeutic window of opportunity in rheumatoid arthritis? A systematic literature review. Ann Rheum Dis 73:861–870

    Article  Google Scholar 

  11. Barnabe C, Xiong J, Pope JE, Boire G, Hitchon C, Haraoui B et al (2014) Factors associated with time to diagnosis in early rheumatoid arthritis. Rheumatol Int 34:85–92

    Article  CAS  Google Scholar 

  12. Palm O, Purinszky E (2005) Women with early rheumatoid arthritis are referred later than men. Ann Rheum Dis 64:1227–1228

    Article  CAS  Google Scholar 

  13. Lard LR, Huizinga TW, Hazes JM, Vlieland TP (2001) Delayed referral of female patients with rheumatoid arthritis. J Rheum 28:2190–2192

    CAS  PubMed  Google Scholar 

  14. Jovani V, Blasco-Blasco M, Ruiz-Cantero MT, Pascual E (2017) Understanding how the diagnostic delay of spondyloarthritis differs between women and men: a systematic review and meta-analysis. J Rheum 44:174–183

    Article  Google Scholar 

  15. Arnett FC, Edworthy SM, Bloch DA, McShane DJ, Fries JF, Cooper NS et al (1988) The American Rheumatism association 1987 revised criteria for the classification of rheumatoid arthritis. Arthritis Rheum 31(3):315–324

    Article  CAS  Google Scholar 

  16. St Sauver JL, Grossardt BR, Yawn BP, Melton LJ 3rd, Rocca WA (2011) Use of a medical records linkage system to enumerate a dynamic population over time: the Rochester epidemiology project. Am J Epidemiol 173(9):1059–1068 PMID: 21430193

    Article  Google Scholar 

  17. Weyand CM, Schmidt D, Wagner U, Goronzy JJ (1998) The influence of sex on the phenotype of rheumatoid arthritis. Arthritis Rheum 41:817–822

    Article  CAS  Google Scholar 

  18. Aurrecoechea E, Llorca Diaz J, Diez Lizuain M, McGwin G Jr, Calvo-alen J (2017) Gender-associated comorbidities in rheumatoid arthritis and their impact on outcome: data from GENIRA. Rheumatol Int 37:479–485

    Article  CAS  Google Scholar 

  19. Aurrecoechea E, Llorcadiaz J, Diezlizuain M, McGwin G Jr, Calvo-alen J (2015) Impact of gender on quality of life of patients with rheumatoid arthritis. J Arthritis 4:160

    Google Scholar 

  20. Ahlmen M, Svensson B, Albertsson K, Forslind K, Hafstrom I, BARFOT Study Group (2010) Influence of gender on assessments of disease activity and function in early rheumatoid arthritis in relation to radiographic joint damage. Ann Rheum Dis 69:230–233

    Article  CAS  Google Scholar 

  21. Barsky AJ, Peekna HM, Borus JF (2001) Somatic symptom reporting in women and men. J Gen Intern Med 16:266–275

    Article  CAS  Google Scholar 

  22. Rusman R, van Vollenhoven RF, van der Horst-Bruinsma IE (2018) Gender difference in axial spondyloarthritis: women are not so lucky. Curr Rheum Rep 20:35

    Article  CAS  Google Scholar 

  23. Isomaki HA (1994) Mortality in patients with rheumatoid arthritis. In: Wolfe F, Pincus T (eds) Rheumatoid arthritis: pathogenesis, assessment, outcome, and treatment. Marcel Dekker Inc, New York, pp 235–246

    Google Scholar 

  24. Jamal S, Alibhai MH, Badley EM, Bombardier C (2011) Time to treatment for new patients with rheumatoid arthritis in a major metropolitan city. J Rheumatol 38:1282–1288

    Article  Google Scholar 

  25. Boeters DM, Gajoux-Viala C, Constantin A, van der Helm-van Mil AHM (2017) The 2010 ACR/EULAR criteria are not sufficiently accurate in the early identification of autoantibody-negative rheumatoid arthritis: results from the Leiden-EAC and ESPOIR cohorts. Semin Arthritis Rheum 47:170–174

    Article  Google Scholar 

Download references

Funding

This work was supported by a grant from the National Institutes of Health (NIH), National Institute of Arthritis and Musculoskeletal and Skin Diseases (Award Number R01AR46849), and was made possible using the resources of the Rochester Epidemiology Project, which is supported by the National Institute on Aging of the NIH under Award Number R01AG034676. The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIH.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Cynthia S. Crowson.

Ethics declarations

Conflict of interests

The authors have no conflicts of interest to disclose.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Electronic supplementary material

Below is the link to the electronic supplementary material.

Supplementary material 1 (DOCX 11 kb)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Coffey, C.M., Davis, J.M. & Crowson, C.S. The impact of gender on time to rheumatoid arthritis classification: a retrospective analysis of a population-based cohort. Rheumatol Int 39, 2025–2030 (2019). https://doi.org/10.1007/s00296-019-04360-2

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00296-019-04360-2

Keywords

Navigation