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THU0283 Predictive factors of response at 12 weeks in patients with ankylosing spondylitis starting biological therapies - results from the portuguese register - REUMA.PT
  1. S. Ramiro1,2,
  2. P. Machado3,4,
  3. R. Roque2,
  4. H. Santos5,
  5. J. Polido-Pereira6,
  6. D. Peixoto7,
  7. C. Duarte3,
  8. F. Pimentel-Santos8,
  9. C. Silva5,
  10. J.E. Fonseca6,
  11. F. Teixeira7,
  12. A. Marques3,
  13. F. Araújo8,
  14. J. Branco8,
  15. J.A.P. da Silva3,
  16. J. Costa7,
  17. J. Pereira da Silva6,
  18. L. Miranda5,
  19. J. Canas da Silva2,
  20. H. Canhão6,
  21. A. van Tubergen9,
  22. D. van der Heijde4,
  23. R. Landewé1,10,
  24. M.J. Santos2
  1. 1Clinical Immunology & Rheumatology, AMC, Amsterdam, Netherlands
  2. 2Rheumatology, HGO, Almada
  3. 3Rheumatology, HUC, Coimbra, Portugal
  4. 4Rheumatology, LUMC, Leiden, Netherlands
  5. 5Rheumatology, IPR
  6. 6Rheumatology, CHLN, Lisboa
  7. 7Rheumatology, CHAM, Ponte de Lima
  8. 8Rheumatology, CHLO, Lisboa, Portugal
  9. 9Rheumatology, MUMC, Maastricht
  10. 10Rheumatology, AMC, Heerlen, Netherlands


Background Identifying predictors of response to biological therapies in patients with Ankylosing Spondylitis (AS) is of utmost importance, especially in view of the costs and potential side effects of these agents.

Objectives To determine baseline predictive factors of response to biological therapies at 12 weeks in patients with AS in daily clinical practice.

Methods Patients with AS under biological therapy and followed in the Rheumatic Diseases Portuguese Register ( were included in this analysis. is used as an electronic medical record and assessments are performed by rheumatologists. Patients with information at baseline and 12 weeks of follow-up were included in the analysis (n=197). Univariable logistic regression analysis of baseline predictors of ASDAS (improvement ≥1.1) and BASDAI response (improvement ≥2 units or ≥50%) were performed. Variables with a p-value<0.1 were re-tested in multivariable models. When both ASDAS and CRP (or ASDAS and BASDAI) were significant in the univariable analysis, they were included in separate multivariable models, in order to avoid collinearity-problems. Forward selection was performed until the best-fit model was obtained, taking confounding effects into account. Interactions were tested.

Results ASDAS response at 12 weeks was predicted by male gender, higher educational level, lower back pain and higher ASDAS (table). When ASDAS was removed from the baseline predictors, both a younger age and higher CRP were significant predictors of ASDAS response. A BASDAI response was independently predicted by age (<40), gender (male), baseline BASDAI (per unit) or ASDAS (per unit) (depending on which was tested in the model).

Table 1

Conclusions CRP is as an important predictor of ASDAS response, but not of BASDAI response. A better response can be expected in male- and younger patients. Baseline disease activity predicts a response at 12 weeks. The ASDAS predicts both ASDAS- and BASDAI response and the BASDAI only predicts the BASDAI response.

Disclosure of Interest None Declared

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