Journals / Turkish journal of physical medicine and rehabilitation / 2021 / Cilt: 67 - Sayı: 4

Comparison of ankylosing spondylitis patients with and without fibromyalgia syndrome according to the disease activation scores and response to treatment

Pages
509–517
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Therefore, it should be kept in mind that FM may present with AS in patients who do not respond to treatment clinically, and this may be misinterpreted as treatment unresponsiveness.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Objectives: The aim of this study was to investigate the association of fibromyalgia (FM) syndrome with ankylosing spondylitis (AS) and to compare the AS patients with and without FM according to the disease activity, clinical and laboratory findings, and response to treatment.
📊
Key Findings & Data:Patients and methods: Between September 2016 and September 2020, a total of 511 patients (312 males, 119 females; mean age: 43.0±11.2 years; range, 18 to 77 years) who were diagnosed with AS were retrospectively analyzed.
💡
Conclusion & Impact:Therefore, it should be kept in mind that FM may present with AS in patients who do not respond to treatment clinically, and this may be misinterpreted as treatment unresponsiveness.
🔬Design:Research Article
📍Scope:2016 Verileri
⚙️Variables:Domain Parameters

Özet

Objectives: The aim of this study was to investigate the association of fibromyalgia (FM) syndrome with ankylosing spondylitis (AS) and to compare the AS patients with and without FM according to the disease activity, clinical and laboratory findings, and response to treatment. Patients and methods: Between September 2016 and September 2020, a total of 511 patients (312 males, 119 females; mean age: 43.0±11.2 years; range, 18 to 77 years) who were diagnosed with AS were retrospectively analyzed. Age, sex, disease duration, disease onset age, and extra-articular findings were recorded. Medical treatments used by the patients for the treatment of AS and FM were noted. The erythrocyte sedimentation rate (ESR), C-reactive protein (CRP), human leukocyte antigen-B27 (HLA-B27) status, and Bath Ankylosing Spondylitis Disease Activity Index (BASDAI), Ankylosing Spondylitis Disease Activity Score (ASDAS) with ESR (ASDAS-ESR) and ASDAS-CRP values were recorded. Results: The frequency of FM in AS patients was 23.2%. Totally, 75.4% of the FM patients were female. The HLA-B27 positivity, extra-articular involvement frequency, disease duration, and acute phase reactants levels were similar between AS patients with and without FM (p=0.118, p=0.154, p=0.829, p=0.113, and p=0.763, respectively). The AS patients with FM had lower rates of achieving remission or low disease activity, compared to those without FM. The mean of all three disease activity scores between these two groups was also higher in the AS patients with FM (p<0.001). The rate of use of biological therapy was significantly higher in the AS patients with FM than those without FM (p=0.037). Conclusion: Since the treatment plan of AS is made based on the disease activity scores, unnecessary biological therapy may be initiated for patients or the biological therapies they use may be switched unnecessarily. Therefore, it should be kept in mind that FM may present with AS in patients who do not respond to treatment clinically, and this may be misinterpreted as treatment unresponsiveness.

🔖

Cite This Article

DURMAZ, Y., İLHANLI, İ. (2021). Comparison of ankylosing spondylitis patients with and without fibromyalgia syndrome according to the disease activation scores and response to treatment. Turkish journal of physical medicine and rehabilitation, Cilt: 67 - Sayı: 4, 509–517. https://ajindex.com/articles/414154

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (14)

  1. Gran JT, Husby G. Ankylosing spondylitis in women. Semin Arthritis Rheum 1990;19:303-12
  2. Haywood KL, Garratt AM, Jordan K, Dziedzic K, Dawes PT. Spinal mobility in ankylosing spondylitis: Reliability, validity and responsiveness. Rheumatology (Oxford) 2004;43:750-7
  3. Garrett S, Jenkinson T, Kennedy LG, Whitelock H, Gaisford P, Calin A. A new approach to defining disease status in ankylosing spondylitis: The Bath Ankylosing Spondylitis Disease Activity Index. J Rheumatol 1994;21:2286-91
  4. Machado P, Landewé R, Lie E, Kvien TK, Braun J, Baker D, et al. Ankylosing Spondylitis Disease Activity Score (ASDAS): Defining cut-off values for disease activity states and improvement scores. Ann Rheum Dis 2011;70:47-53
  5. Bellato E, Marini E, Castoldi F, Barbasetti N, Mattei L, Bonasia DE, et al. Fibromyalgia syndrome: etiology, pathogenesis, diagnosis, and treatment. Pain Res Treat 2012;2012:426130
  6. Zhao SS, Duffield SJ, Goodson NJ. The prevalence and impact of comorbid fibromyalgia in inflammatory arthritis. Best Pract Res Clin Rheumatol 2019;33:101423
  7. Yunus MB, Masi AT. Juvenile primary fibromyalgia syndrome. A clinical study of thirty-three patients and matched normal controls. Arthritis Rheum 1985;28:138-45
  8. Yunus MB, Holt GS, Masi AT, Aldag JC. Fibromyalgia syndrome among the elderly. Comparison with younger patients. J Am Geriatr Soc 1988;36:987-95
  9. Yunus MB, Masi AT, Aldag JC. A controlled study of primary fibromyalgia syndrome: Clinical features and association with other functional syndromes. J Rheumatol Suppl 1989;19:62-71
  10. Leavitt F, Katz RS, Golden HE, Glickman PB, Layfer LF. Comparison of pain properties in fibromyalgia patients and rheumatoid arthritis patients. Arthritis Rheum 1986;29:775-81. 11. van der Linden S, Valkenburg HA, Cats A. Evaluation of diagnostic criteria for ankylosing spondylitis. A proposal for modification of the New York criteria. Arthritis Rheum 1984;27:361-8
  11. Wolfe F, Smythe HA, Yunus MB, Bennett RM, Bombardier C, Goldenberg DL, et al. The American College of Rheumatology 1990 criteria for the classification of fibromyalgia. Report of the Multicenter Criteria Committee. Arthritis Rheum 1990;33:160-72
  12. Instructions for healthcare applications. Social Security Institution in Turkey. 2020. Available at: https://www. resmigazete.gov.tr/eskiler/2013/03/20130324-3.pdf
  13. Hair J, Black W, Babin B, Anderson R, Tatham R. Multivariate Data Analysis. Essex: Pearson Education Limited; 2013
  14. Hinkle DE,