Skip to main content

Advertisement

Log in

Optimizing therapy in inflammatory arthritis: prediction of relapse after tapering or stopping treatment for rheumatoid arthritis patients achieving clinical and radiological remission

  • Original Article
  • Published:
Clinical Rheumatology Aims and scope Submit manuscript

Abstract

This study aims to assess clinical, lab/immunological or imaging (joint ultrasonography) markers able to predict disease relapse in RA patients in sustained remission when tapering or stopping their treatment. One hundred fifty-seven RA patients in clinical remission (DAS-28 <2.6 for >6 months), receiving treatment with sDMARDs and bDMARD therapy, were randomly allocated into any of five groups: Group 1: continue full dose DMARDs and taper biologic therapy by 50 % (31 patients); Group 2: taper both DMARDs and biologic therapy dose by 50 % (32 patients); Group 3: taper DMARDs by 50 % and stop biologic therapy (31 patients); Group 4: stop both DMARDs and biologic therapy (31 patients); Group 5: continue medications without change (31 patients). Forty joints were assessed ultrasonographically (DAS-28 joints + ankles + metatarsophalangeal joints) and prospectively monitored for 12 months. The primary endpoint was sustained remission for 12 months. Patients were considered as having a relapse when the DAS-28 score was >3.2 and anti-rheumatic treatment was escalated. The frequency of relapse was 41.9 % in Group 1, 59.3 % in Group 2, 67.7 % in Group 3, 77.4 % in Group 4 and 6.5 % in Group 5. Relapse rates were significantly higher in patients whose ultrasound scores raised within 3 months of stopping their medications (P < 0.001 for both GS and PD scores). Cox regression identified ACPA positivity (at baseline) and progression of functional disability (at 2 months) as predictors for relapse. Tapering therapy is feasible in RA patients. Tailored dynamic approach is advised. Joint ultrasonographic assessment, ACPA positivity and worsening functional disability predicted relapse within a short term after discontinuation of the treatment. RA patients whose DAS-28 score was <2 were more likely to remain in remission.

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.

Fig. 1
Fig. 2

Similar content being viewed by others

References

  1. Aga AB, Lie E, Uhlig T et al (2015) Time trends in disease activity, response and remission rates in rheumatoid arthritis during the past decade: results from the NOR-DMARD study 2000–2010. Ann Rheum Dis 74:381–388

    Article  CAS  PubMed  Google Scholar 

  2. Tanaka Y, Hirata S, Kubo S et al (2013) Discontinuation of adalimumab after achieving remission in patients with established rheumatoid arthritis: 1-year outcome of the HONOR study. Ann Rheum Dis:1–7. doi:10.1136/annrheumdis-2013-204016

  3. Tanaka Y, Takeuchi T, Mimori T et al (2010) RRR study investigators. Discontinuation of infliximab after attaining low disease activity in patients with rheumatoid arthritis: RRR (remission induction by Remicade in RA) study. Ann Rheum Dis 69:1286–1291

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  4. Nagy G, van Vollenhoven R (2015) Sustained biologic-free and drug-free remission in rheumatoid arthritis, where are we now? Arthritis Research & Therapy 17:181

    Article  Google Scholar 

  5. Brown AK, Conaghan PG, Karim Z, Quinn MA, Ikeda K, Peterfy CG et al (2008) An explanation for the apparent dissociation between clinical remission and continued structural deterioration in rheumatoid arthritis. Arthritis Rheum 58:2958–2967

    Article  CAS  PubMed  Google Scholar 

  6. Rech J, Hueber A, Finzel S, Englbrecht M et al (2015) Prediction of disease relapses by multibiomarker disease activity and autoantibody status in patients with rheumatoid arthritis on tapering DMARD treatment. Ann Rheum Dis 1–7. doi:10.1136/annrheumdis-2015-207900.

  7. Freeston JE, Wakefield RJ, Conaghan PG, Hensor EM, Stewart SP, Emery PA (2010) Diagnostic algorithm for persistence of very early inflammatory arthritis: the utility of power Doppler ultrasound when added to conventional assessment tools. Ann Rheum Dis 69:417–419

    Article  CAS  PubMed  Google Scholar 

  8. Filer A, de Pablo P, Allen G, Nightingale P, Jordan A, Jobanputra P et al (2011) Utility of ultrasound joint counts in the prediction of rheumatoid arthritis in patients with very early synovitis. Ann Rheum Dis 70:500–507

    Article  PubMed  Google Scholar 

  9. Nakagomi D, Ikeda K, Okubo A, Iwamoto T, Sanayama Y, Takahashi K et al (2013) Ultrasound can improve the accuracy of the 2010 American College of Rheumatology/European League Against Rheumatism classification criteria for rheumatoid arthritis to predict the requirement for methotrexate treatment. Arthritis Rheum 65:890–898

    Article  CAS  PubMed  Google Scholar 

  10. Naredo E, Moller I, Cruz A, Carmona L, Garrido J (2008) Power Doppler ultrasonographic monitoring of response to anti-tumor necrosis factor therapy in patients with rheumatoid arthritis. Arthritis Rheum 58:2248–2256

    Article  PubMed  Google Scholar 

  11. Wakefield RJ, D’Agostino MA, Naredo E, Buch MH, Iagnocco A, Terslev L et al (2012) After treat-to-target: can a targeted ultrasound initiative improve RA outcomes? Ann Rheum Dis 71:799–803

    Article  PubMed  Google Scholar 

  12. Ikeda K, Nakagomi D, Sanayama Y, Yamagata M, Okubo A, Iwamoto T et al (2013) Correlation of radiographic progression with the cumulative activity of synovitis estimated by power Doppler ultrasound in rheumatoid arthritis: difference between patients treated with methotrexate and those treated with biological agents. J Rheumatol 40:1967–1976

    Article  PubMed  Google Scholar 

  13. Peluso G, Michelutti A, Bosello S, Gremese E, Tolusso B, Ferraccioli G (2011) Clinical and ultrasonographic remission determines different chances of relapse in early and long standing rheumatoid arthritis. Ann Rheum Dis 70:172–175

    Article  PubMed  Google Scholar 

  14. Saleem B, Keen H, Goeb V, Parmar R, Nizam S, Hensor EM et al (2010) Patients with RA in remission on TNF blockers: when and in whom can TNF blocker therapy be stopped? Ann Rheum Dis 69:1636–1642

    Article  PubMed  Google Scholar 

  15. Aletaha D, Neogi T, Silman AJ et al (2010) 2010 rheumatoid arthritis classification criteria: an American College of Rheumatology/European League Against Rheumatism collaborative initiative. Ann Rheum Dis 69:1580–1588

    Article  PubMed  Google Scholar 

  16. Prevoo ML (1995) Van ‘t Hof MA, Kuper HH, et al. Modified disease activity scores that include twenty-eight-joint counts. Development and validation in a prospective longitudinal study of patients with rheumatoid arthritis. Arthritis Rheum 38:44–48

    Article  CAS  PubMed  Google Scholar 

  17. El Miedany Y, El Gaafary M, Youssef S, Palmer D (2010) Incorporating patient reported outcome measures in clinical practice: development and validation of a questionnaire for inflammatory arthritis. Clin Exp Rheumatol 28:734–744

    CAS  PubMed  Google Scholar 

  18. El Miedany YE, Gaafary ME, Ahmed I, Youssef S, Nasr AUS (2015) Guided treat-to-target approach in early RA: implications for uncoupling of disease activity and structural joint damage. Curr Rheumatol Rev 11:18–27

    Article  Google Scholar 

  19. Wakefield RJ, Balint PV, Szkudlarek M, Filippucci E, Backhaus M, D’Agostino MA et al (2005) Musculoskeletal ultrasound including definitions for ultrasonographic pathology. J Rheumatol 32:2485–2487

    PubMed  Google Scholar 

  20. Smolen J, Keystone E (2012) Future of RA: building on what we know and tailoring treatment. Rheumatology 51:v55v56

    Google Scholar 

  21. El Miedany Y, El Gaafary M, Palmer D, Youssef S (2011) Imaging as an outcome measure in early inflammatory arthritis: monitoring disease activity and patients’ response to therapy using ultrasonography. Arthritis. Rheumatism 63(10):S319

    Google Scholar 

  22. Iwamoto T, Ideda K, Hosokawa J, Yamagata M (2014) Prediction of relapse after discontinuation of biologic agents by ultrasonographic assessment in patients with rheumatoid arthritis in clinical remission: high predictive values of total Gray-Scale and Power Doppler Scores that represent residual synovial inflammation before discontinuation. Arthritis Care Res 66(10):1576–1581

    Article  Google Scholar 

  23. Lamers-Karnebeek F, Jacobs H, Fransen J, Luime J, Riel P et al (2013) The post-US study: can ultrasonography predict flare inpatients with RA and persistent low disease activity in whom the TNF inhibitor (TNFi) is stopped? Preliminary results of an ongoing study. Ann Rheum Dis 72(Suppl3):214

    Google Scholar 

  24. Lamers-Karnebeek F, Jansen T, van Riel P, Luime J, Jacobs J (2015) Ultrasonography as predictor for flare in rheumatoid arthritis patients with low disease activity: nine month results from post-US- study. Ann Rheum Dis 74(Suppl2):140

    Google Scholar 

  25. Lamers-Karnebeek F, Luime J, van Riel P, Jacobs J, Jansen T (2016) Prediction of flare after stopping TNF-inhibitor by baseline ultrasonography and patient characteristics in rheumatoid arthritis patients with low disease activity: 12-month results. Ann Rheum Dis 75(Suppl2):125

    Google Scholar 

  26. Hirata S, Saito K, Kubo S et al (2013) Discontinuation of adalimumab after attaining disease activity score 28-erythrocyte sedimentation rate remission in patients with rheumatoid arthritis (HONOR study): an observational study. Arthritis Res Ther 15:R135

    Article  PubMed  PubMed Central  Google Scholar 

  27. Haschka J, Englbrecht M, Hueber A et al (2016) Relapse rates in patients with rheumatoid arthritis in stable remission tapering or stopping antirheumatic therapy: interim results from the prospective randomised controlled RETRO study. Ann Rheum Dis 75:45–51

    Article  PubMed  Google Scholar 

  28. El Miedany Y, El Gaafary M, Sayed S, Ahmed I, Nasr A, Palmer D (2014) Functional disability: a parameter fit to be a biomarker for inflammatory arthritis. Ann Rheum Dis

  29. El Miedany Y, Youssef S, Mehanna A, El Gaafary M (2007) Development of a scoring system for assessment of outcome of early undifferentiated inflammatory synovitis. Joint Bone Spine 75(2):155–162

    Article  PubMed  Google Scholar 

  30. van der Woude D, Young A, Jayakumar K et al (2009) Prevalence of and predictive factors for sustained disease-modifying antirheumatic drug-free remission in rheumatoid arthritis: results from two large early arthritis cohorts. Arthritis Rheum 60:2262–2271

    Article  PubMed  Google Scholar 

  31. Klarenbeek NB, van der Kooij SM, Guler-Yuksel M et al (2011) Discontinuing treatment in patients with rheumatoid arthritis in sustained clinical remission: exploratory analyses from the BeSt study. Ann Rheum Dis 70:315–319

    Article  CAS  PubMed  Google Scholar 

  32. van der Kooij SM, Goekoop-Ruiterman YP (2009) De Vries-Bouwstra JK, et al. drug-free remission, functioning and radiographic damage after 4 years of response-driven treatment in patients with recent-onset rheumatoid arthritis. Ann Rheum Dis 68:914–921

    Article  PubMed  Google Scholar 

  33. Smolen JS, Landewe R, Breedveld FC et al (2014) EULAR recommendations for the management of rheumatoid arthritis with synthetic and biological disease-modifying antirheumatic drugs: 2013 update. Ann Rheum Dis 73:492–509

    Article  CAS  PubMed  Google Scholar 

  34. Fautrel B, Pham T, Alfaiate T et al (2016) Step-down strategy of spacing TNF-blocker injections for established rheumatoid arthritis in remission: results of the multicentre non-inferiority randomised open-label controlled trial (STRASS: spacing of TNF-blocker injections in Rheumatoid Arthritis Study. Ann Rheum Dis 75:59–67

    Article  PubMed  Google Scholar 

  35. van Vollenhoven RF, Østergaard M, Leirisalo-Repo M et al (2016) Full dose, reduced dose or discontinuation of etanercept in rheumatoid arthritis. Ann Rheum Dis 75:52–58

    Article  PubMed  Google Scholar 

  36. van Herwaarden N, van der Maas A, Minten MJ et al (2015) Disease activity guided dose reduction and withdrawal of adalimumab or etanercept compared with usual care in rheumatoid arthritis: open label, randomised controlled, non-inferiority trial. BMJ 350:h1389

    Article  PubMed  PubMed Central  Google Scholar 

  37. Moghadam M, Vonkeman H, ten Klooster P, Tekstra J et al (2016) Stopping tumor necrosis factor inhibitor treatment in patients with established rheumatoid arthritis in remission or with stable low disease activity. Arthritis Rheumatology 68:1810–1817

    Article  Google Scholar 

Download references

Acknowledgments

We express thanks to all participants, our colleagues, research assistants and nurses for their cooperation and help to bring this research to its final conclusions.

Contributorship

All authors were involved in drafting the article or revising it critically for important intellectual content, and all authors approved the final version to be submitted for publication. Dr. El Miedany had full access to all of the data in the study, and Dr. El Gaafary carried out the data analysis.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Y. El Miedany.

Ethics declarations

Disclosures

None.

Ethics approval

Ain Shams University Research Ethics Board.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

El Miedany, Y., El Gaafary, M., Youssef, S. et al. Optimizing therapy in inflammatory arthritis: prediction of relapse after tapering or stopping treatment for rheumatoid arthritis patients achieving clinical and radiological remission. Clin Rheumatol 35, 2915–2923 (2016). https://doi.org/10.1007/s10067-016-3413-8

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10067-016-3413-8

Keywords

Navigation