Tahir Saygın Öğüt1, Funda Erbasan1, Mehmet Fatih Şahiner2, Mine Nokay1, Ayşe Yörük Öğüt3, Melis Dilbil1, Mustafa Ender Terzioğlu1, Veli Yazısız1

1Department of Internal Medicine, Division of Rheumatology, Akdeniz University Faculty of Medicine, Antalya, Türkiye
2Department of Internal Medicine, Akdeniz University Faculty of Medicine, Antalya, Türkiye
3Department of Internal Medicine, Antalya Training and Research Hospital, Antalya, Türkiye

Keywords: Axial spondyloarthropathy, biological agents, difficult-to-treat, disease activity, drug-switching.

Abstract

Objectives: This study aimed to formulate D2T (difficult to treat) criteria for axial spondyloarthritis (AxSpA) patients and identify the prevalence of D2T patients and their characteristics.

Patients and methods: The cross-sectional study was conducted with 166 AxSpA patients (93 males, 73 females; mean age: 47.1±12.9 years; range, 19 to 78 years) between February 2023 and March 2023. The criteria were based on patients treated according to the European Alliance of Associations for Rheumatology (EULAR) recommendations for AxSpA. Entry criteria were treatment failure to ≥2 biological/targeted synthetic disease-modifying antirheumatic drugs with two different mechanisms of action or ≥3 biological/targeted synthetic disease-modifying antirheumatic drugs. Potential preliminary factors for D2T criteria were analyzed, and the characteristics of the subjects matching D2T criteria were compared with those of others.

Results: One hundred forty-two ankylosing spondylitis patients and 24 nonradiographic AxSpA patients were included in the study. The rate of fulfilling the D2T criteria was 22.9% (n=38) among AxsPA patients treated with biological agents. The potential D2T criteria were met by 23.2% of ankylosing spondylitis and 20.8% of nonradiographic AxSpA patients. Baseline characteristics, such as sex, age, diagnosis age, occupation, and education, of D2T patients were not statistically different from other patients. The prevalence of fibromyalgia was higher in D2T patients (p<0.001). Disease activity indices and acute phase response indicators were higher and quality of life was worse in D2T patients.

Conclusion: There was a considerable amount of AxSpA patients fulfilling the D2T criteria despite new and effective treatment agents.

Introduction

Axial spondyloarthritis (AxSpA) is an inflammatory disease of the spine characterized by chronic low back pain. AxSpA-associated chronic inflammatory pain, fatigue, morning stiffness, and disability negatively affect the quality of life.[1]

Nonsteroidal anti-inflammatory drugs (NSAIDs) are the first-line pharmacological treatment in managing AxSpA. They exert their effects by decreasing the production of prostaglandin E2, which is responsible for inflammation and new bone formation.[2] They establish disease control in 50% of the patients,[3] although there is conflicting data on radiologic progression in those treated with NSAIDs.[4,5] The main treatment modality in case of NSAID intolerance or partial response to NSAIDs is biological agents.[1]

Tumor necrosis factor-alpha inhibitors (TNFi) and interleukin (IL)-17 inhibitors are biological agents approved by the Food and Drug Administration and European Medicines Agency for the treatment of AxSpA. Data on the effectiveness of JAK (Janus kinase) inhibitors in the treatment of ankylosing spondylitis (AS) have been increasing.[6] Despite considerable developments achieved in the field of the treatment of AxSpA during the last two decades, treatment failure is still an issue for the majority of patients. Treatment response rates with TNFi agents were 60 to 75% in the studies in which Assessment of SpondyloArthritis International Society (ASAS) 20 response criteria were considered.[1]

Although the patients with AxSpA for less than two years achieved better treatment response rates, low socioeconomic status, obesity, and mental health problems were found to be related to worse TNFi response rates in the 2020 Britain registries.[7] In the registries of Nordic countries, the ratio of the patients treated with ≥3, ≥4, and ≥5 biological agents were 8%, 3%, and 1%, respectively. Multiple biological drug switching was found to be related to the female sex, short disease duration, number of comorbidities, and the presence of psoriasis.[8]

The concept of D2T (difficult to treat) was defined by the European Alliance of Associations for Rheumatology (EULAR) task force as the persistence of signs of activity with failure of at least two biological/targeted synthetic disease-modifying antirheumatic drugs (DMARDs) of two different mechanisms of action.[9] D2T rheumatoid arthritis (RA) criteria were recently described to investigate the demographic, clinical, and laboratory characteristics of the subjects with multiple biological agent unresponsiveness and determine subgroups by performing cluster analysis.[9,10] Healthcare costs for diagnosis and treatment are known to be higher in these subgroups compared to patients with true refractory RA.[10]

In recent years, the treat-to-target approach has gained acceptance for AxSpA.[11] Some parameters, such as disease activity scores, radiologic progression, and functionality, are considered in clinical decision-making, while an exact description has not been suggested.[8] Despite the wide range of treatment options available for AxSpA patients, a significant number of AxSpA patients experience treatment failure. In addition to the financial burden it imposes on healthcare systems, treatment failure is closely associated with chronic pain, structural progression, and decreased quality of life.[12,13]

This study aimed to determine potential D2T criteria by using a defined criteria set, detect the prevalence of patients meeting D2T criteria, and identify risk factors and disease burden in patients with AxSpA receiving biological/targeted synthetic DMARDs.

Patients and Methods

In this cross-sectional study, 166 consecutive patients (93 males, 73 females; mean age: 47.1±12.9 years; range, 19 to 78 years) who presented to the Akdeniz University Faculty of Medicine Department of Internal Medicine, Division of Rheumatology between February 2023 and March 2023 were evaluated. Those aged >18 years with at least 12 months history of AxSpA according to the ASAS classification criteria[14] or AS according to the New York Criteria[15] who had been receiving biologic treatment for at least 12 months were enrolled.

A detailed medical history and physical examination were performed for all patients. Data on demographic characteristics, age at the time of diagnosis, disease duration, smoking, alcohol use, marital status, the number of children, educational status, body mass index, the presence of active uveitis and the history of uveitis, the current biological agent and its mode of delivery, comorbidities, the presence of active arthritis and enthesitis, and laboratory parameters, such as HLA (human leukocyte antigen)-B27 positivity, C-reactive protein (CRP), and erythrocyte sedimentation rate, were recorded. Patients with psoriasis, inflammatory bowel disease, or a history of uveitis were grouped as subjects with extramusculoskeletal manifestations. The presence of fibromyalgia was evaluated according to the 2010 American College of Rheumatology (ACR) fibromyalgia criteria.[16]

History of NSAID or conventional synthetic DMARD treatment, previous biological/targeted synthetic DMARD use, the reasons for drug switching, and the period between the diagnosis and biologic treatment initiation (years) were recorded. Reasons for biological drug switching/ discontinuation were retrospectively investigated. Switching was accepted if a new biological/ targeted synthetic DMARD was initiated after discontinuation of the biological/targeted synthetic DMARD. If the same biological/ targeted synthetic DMARD was restarted after a period of discontinuation (<90 days) or there was a change from an original molecule to a biosimilar agent, it was not considered switching. Only those who underwent drug switching due to treatment failure were included in the study. The analysis did not include switching with biological/targeted synthetic DMARDs due to side effects and patient or physician preference.

Disease activity was determined by using the Bath Ankylosing Spondylitis Disease Activity Index (BASDAI).[17] Additionally, Ankylosing Spondylitis Disease Activity Score (ASDAS)-CRP, and ASDAS-Sedimentation activity parameters were also evaluated. The Bath Ankylosing Spondylitis Functional Index (BASFI) and Health Assessment Questionnaire (HAQ) disability index were utilized as physical functionality tests.

Potential D2T AxSpA criteria were described (Table 1). These criteria were developed considering the articular and extraarticular involvement, disease activity scores, and biologic therapy histories of AxSpA patients. There is a proposal criterion for D2T AxSpA (extrapolated definition from D2T RA criteria) in the literature.[18] Characteristics of patients with AxSpA fulfilling D2T criteria were compared to those without D2T criteria.

In patients in whom magnetic resonance imaging was performed, the presence of bone marrow edema adjacent to the sacroiliac joint in two different areas in at least two different series was considered positive. Radiological progression of spinal changes was defined as a two-point increase in the modified Stoke Ankylosing Spondylitis Spinal Score on X-rays taken at least two years apart.

Statistical analysis

The sample size was determined using G*Power version 3.1.7 software (HeinrichHeine Universität Düsseldorf, Düsseldorf Germany). Considering the rate of biological DMARD-resistant patients with different mechanisms of action (12-15%), with a 5% type 1 error and 95% confidence interval, the sample size was calculated as 162 to 195 patients.

Statistical analysis was performed using the IBM SPSS version 23.0 software (IBM Corp., Armonk, NY, USA). Descriptive statistics were used to present the general characteristics of the study population. Data were defined as total numbers and percentiles. Parametric data were calculated as mean ± standard deviation (SD), while numeric variables were expressed as median value (interquartile range) and categorical variables as numbers (%). The chi-square test or Fisher exact test was used to compare the categorical data of the groups, and Student’s t-test was used to compare numeric (continuous) variables. The Mann-Whitney U test was used for the comparison of nonnormally distributed parametric values. A p-value <0.05 was considered statistically significant.

Results

The study included 142 AS and 24 nonradiographic AxSpA (nr-AxSpa) patients. The flowchart of patient selection is shown in Figure 1. There were 38 (22.9%) patients fulfilling potential D2T criteria. The characteristics of the patients are presented in Table 2. When comparing D2T (n=38) and non-D2T (n=128) patients, there was no statistically significant for sex, mean age, age at the time of diagnosis, body mass index, HLAB27 positivity, alcohol use, smoking status, marital status, and educational level (Table 2).


Clinical signs, disease activity scores, medications, and comorbidities are presented in Table 3. The frequency of active peripheral arthritis (p=0.010) and fibromyalgia (p<0.001) were significantly higher in D2T patients. There was no significant difference between the groups in the presence of uveitis (current and previous), inflammatory bowel disease, extramusculoskeletal manifestations, and the number of comorbidities.

Compared to the non-D2T group, treatment with multiple biologics was significantly more common in the D2T group (p<0.001). The most commonly used agent was adalimumab. While secukinumab and certolizumab pegol were similar in both groups as the first choice, the frequency of use increased in the second and later preferences in the D2T group. Of non-D2T patients, 71.9% were not using any concomitant agents, whereas 60.5% of D2T AxSpA patients were using NSAIDs (Table 3).

As expected, at the time of inclusion in the study (cross-sectional), all disease activity scores, such as BASDAI, BASFI, ASDAS-CRP, ASDAS-Sedimentation, and HAQ score were significantly higher in the D2T group than in the non-D2T group (p<0.001 for all). Furthermore, CRP and erythrocyte sedimentation rate levels were statistically significantly higher in D2T patients.

Discussion

The current study evaluated patients with AxSpA in terms of D2T. Some proposals are available for D2T criteria in patients with AxSpA.[18] Potential D2T criteria for AxSpA have been revealed by considering D2T RA criteria sets established by EULAR,[9] D2T criteria set for PsA,[19] and activity parameters for AxSpA. D2T AxSpA criteria were adopted from the EULAR D2T RA criteria.[9] This criteria set is based on treatment failure to multiple biological agents. Despite treatment according to EULAR recommendations, moderate and higher disease activity, elevated acute phase reactants, radiographic findings, regular NSAID use, and the presence of extra-articular involvement were considered indicators of active and progressive disease.

The subjects with AxSpA receiving biological/ targeted synthetic DMARDs were crosssectionally evaluated, and previous treatments were retrospectively investigated. Factors that may be associated with biological/targeted synthetic DMARD failure, such as sociodemographic characteristics, clinical features, and laboratory findings, were evaluated. In AxSpA patients, 22.9% were found to have D2T disease. Furthermore, the rate of D2T patients was not different between AS and nr-AxSpA patients. The presence of active peripheral arthritis, fibromyalgia, use of NSAIDs, high-level acute phase reactants, higher disease activity scores, and lower quality of life were statistically significant parameters in D2T patients.

In a multicenter retrospective French study, the subjects with D2T AxSpA were evaluated, and the ratio of the patients unresponsive to biological agents with two different mechanisms of action was 28%.[20] They reported that the D2T cohort was found to have higher pretreatment BASDAI scores and more frequent peripheral joint involvement, similar to the present study. Differently, uveitis was more common in D2T groups, and they had a shorter disease duration than the non-D2T group. The results of the fiveyear longitudinal study revealed that most of the AxSpA patients stayed in the same cluster (axial or peripheral predominant involvement).[21] Therefore, it can be speculated that patients with currently active peripheral arthritis or with peripheral involvement at the time of diagnosis are similar and associated with high disease burden.

The results of this study did not reveal a difference among sexes for D2T in AxSpA. However, growing data indicates that disease burden differs among female and male subjects with AxSpA. Whether this difference is related to inflammatory reasons is not clear. Although radiologic progression is less prominent in females, disease activity scores are higher, and life quality scores are worse.[22,23] Tournadre et al.[23] demonstrated a positive correlation between high BASDAI and ASDAS-CRP scores and the female sex in patients with AxSpA. Similar findings were found in another study showing higher BASDAI and BASFI scores in female patients with nr-AxSpA compared to male patients.[24] Di Giuseppe et al.[8] reviewed the records of Nordic countries and found that treatment with ≥3 biologic agents was significantly more common in female patients compared to male patients. Compared to males, female patients with AxSpA have lower IL-17 levels, while enthesitis and dactylitis are also more common in female patients.[25] The presence of peripheral arthritis and enthesitis negatively affects disease burden.[26-28] Neuropathic pain and fibromyalgia syndromes are also more common in female patients.[29,30]

Fibromyalgia is a disease that predominantly affects females. Referred pain, fatigue, pain on tender points, sleep and mood disorders, and irritable bowel syndrome are frequently observed in patients with fibromyalgia. AxSpA and fibromyalgia overlap is quite common, and various studies report that the prevalence of fibromyalgia is about 10.8 to 38.4% among patients with AxSpA.[31] Studies are showing that the presence of fibromyalgia syndrome or fibromyalgianess and neuropathic pain affects disease activity scores and may lead to unnecessary biological drug switching.[30,32] It was termed fibromyalgianess by Wolfe,[33] who demonstrated that the degree of fibromyalgia predicts pain and disability in all rheumatic diseases.[32] Moreover, slow progression of the disease and concomitant fibromyalgia, observed particularly in female subjects with nr-AxSpA, result in delayed diagnosis.[31,34] However, it is still unknown whether the presence of fibromyalgia and the female sex are independent factors or if they are related to each other. The 2022 ASAS/EULAR recommendations strongly suggest the evaluation of the presence of comorbidities, including fibromyalgia, and the accuracy of the diagnosis in case of treatment unresponsiveness.[35] It was determined that the frequency of fibromyalgia was higher in the D2T group in this study. Fibromyalgia can be a confounding disease to identifying potential D2T criteria by raising disease activity indices and reducing quality of life. Possibly, it should be considered an exclusion criterion for D2T AxSpA.

There is evidence that HLA-B27 positivity is a good indicator of TNFi responsiveness in AxSpA,[36-38] while some studies indicate the opposite.[39,40] In the study by Fröchlich et al.,[41] about 1,000 patients with AxSpA were evaluated, and HLA-B27 positivity was found to be related to earlier disease onset, longer disease duration, and the male sex. Drug discontinuation was more common among female patients, and drug retention was less commonly encountered in patients with HLA-B27 negativity. Our analysis showed that HLA-B27 is not an indicator for D2T AxSpA.

In patients who underwent magnetic resonance imaging, bone marrow edema was detected more frequently in the D2T group. It is an expected finding since it is one of the disease activity findings. However, no difference was detected between the two groups regarding the radiological progression of spinal changes. This may be due to factors affecting radiological progression, such as sex and HLA-B27, not being effective in terms of D2T.

The present study has some limitations. First, the D2T criteria suggested for AxSpA are researchers’ predictions; they are not validated or meta-analysis-based parameters. Second, previous biological/targeted synthetic DMARD treatments were retrospectively investigated, and the information about the duration of biological agent use, disease activity scores at the time of diagnosis, and switching biological agents was obtained retrospectively. The parameters of D2T AxSpA were cross-sectionally evaluated. In addition, biological/targeted synthetic DMARD options were limited to TNFi and IL-17 inhibitors; the cohort had no subjects receiving JAK inhibitors since they have not been approved for AxSpA in Türkiye. The small number of patients and the absence of patients using targeted synthetic DMARDs are the most important limitations of this study.

In conclusion, 22.9% of AxSpA patients met the D2T criteria according to the potential D2T criteria recommended in this study. The presence of active peripheral arthritis, NSAID use, high disease activity scores, high levels of acute phase reactants, and worse life quality scores are prominent characteristics of D2T AxSpA patients. Fibromyalgia should be investigated as a confounding factor for D2T criteria or a distinguishing feature of D2T AxSpA patients. Further studies are required to confirm our findings and identify the parameters to diagnose D2T AxSpA patients.

Citation: Öğüt TS, Erbasan F, Şahiner MF, Nokay M, Yörük Öğüt A, Dilbil M, et al. Difficult-totreat axial spondyloarthritis patients. Arch Rheumatol 2024;39(3):419-428. doi: 10.46497/ ArchRheumatol.2024.10567.

Ethics Committee Approval

The study protocol was approved by the Akdeniz University Faculty of Medicine Clinical Research Ethics Committee (date: 08.02.2023, no: KAEK-97). The study was conducted in accordance with the principles of the Declaration of Helsinki.

Author Contributions

Have designed the study: V.Y., T.S.Ö.; Have collected the data: T.S.Ö., M.N., M.D., M.F.., A.Y.Ö.; Data analyses and interpretation have been performed: V.Y., T.S.Ö.; Literature review is done: T.S.Ö., F.E.; Have written the first draft of the manuscript, and all authors commented on the last version of the manuscript: V.Y., T.S.Ö.; Critical review of the manuscript is performed: M.E.T. All authors have read and approved the final and revised manuscript.

Conflict of Interest

The authors declared no conflicts of interest with respect to the authorship and/or publication of this article.

Financial Disclosure

The authors received no financial support for the research and/or authorship of this article.

Data Sharing Statement

The data that support the findings of this study are available from the corresponding author upon reasonable request.

References

  1. Danve A, Deodhar A. Treatment of axial spondyloarthritis: An update. Nat Rev Rheumatol 2022;18:205-16. doi: 10.1038/s41584-022-00761-z.
  2. Lisowska B, Kosson D, Domaracka K. Lights and shadows of NSAIDs in bone healing: The role of prostaglandins in bone metabolism. Drug Des Devel Ther 2018;12:1753-8. doi: 10.2147/DDDT.S164562.
  3. Zochling J, Bohl-Bühler MH, Baraliakos X, Feldtkeller E, Braun J. Nonsteroidal anti-inflammatory drug use in ankylosing spondylitis--a population-based survey. Clin Rheumatol 2006;25:794-800. doi: 10.1007/ s10067-005-0132-y.
  4. Kroon F, Landewé R, Dougados M, van der Heijde D. Continuous NSAID use reverts the effects of inflammation on radiographic progression in patients with ankylosing spondylitis. Ann Rheum Dis 2012;71:1623-9. doi: 10.1136/ annrheumdis-2012-201370.
  5. Sieper J, Listing J, Poddubnyy D, Song IH, Hermann KG, Callhoff J, et al. Effect of continuous versus on-demand treatment of ankylosing spondylitis with diclofenac over 2 years on radiographic progression of the spine: Results from a randomised multicentre trial (ENRADAS). Ann Rheum Dis. 2016 Aug;75:1438-43. doi: 10.1136/ annrheumdis-2015-207897.
  6. Keeling S, Maksymowych WP. JAK inhibitors, psoriatic arthritis, and axial spondyloarthritis: A critical review of clinical trials. Expert Rev Clin Immunol 2021;17:701- 15. doi: 10.1080/1744666X.2021.1925541.
  7. Macfarlane GJ, Pathan E, Jones GT, Dean LE. Predicting response to anti-TNFa therapy among patients with axial spondyloarthritis (axSpA): Results from BSRBR-AS. Rheumatology (Oxford) 2020;59:2481-90. doi: 10.1093/rheumatology/ kez657.
  8. Di Giuseppe D, Lindström U, Aaltonen K, Relas H, Provan S, Gudbjornsson B, et al. The occurrence of multiple treatment switches in axial spondyloarthritis. Results from five Nordic rheumatology registries. Rheumatology (Oxford) 2022;61:3647-56. doi: 10.1093/rheumatology/keab946.
  9. Nagy G, Roodenrijs NMT, Welsing PMJ, Kedves M, Hamar A, van der Goes MC, et al. EULAR points to consider for the management of difficult-to-treat rheumatoid arthritis. Ann Rheum Dis 2022;81:20-33. doi: 10.1136/annrheumdis-2021-220973.
  10. Roodenrijs NMT, van der Goes MC, Welsing PMJ, Tekstra J, Lafeber FPJG, Jacobs JWG, et al. Difficultto-treat rheumatoid arthritis: Contributing factors and burden of disease. Rheumatology (Oxford) 2021;60:3778-88. doi: 10.1093/rheumatology/ keaa860.
  11. van der Heijde D, Ramiro S, Landewé R, Baraliakos X, Van den Bosch F, Sepriano A, et al. 2016 update of the ASAS-EULAR management recommendations for axial spondyloarthritis. Ann Rheum Dis 2017;76:978- 91. doi: 10.1136/annrheumdis-2016-210770.
  12. Navarro-Compán V, Sepriano A, El-Zorkany B, van der Heijde D. Axial spondyloarthritis. Ann Rheum Dis 2021;80:1511-21. doi: 10.1136/ annrheumdis-2021-221035.
  13. Aouad K, Ziade N, Baraliakos X. Structural progression in axial spondyloarthritis. Joint Bone Spine 2020;87:131-6. doi: 10.1016/j.jbspin.2019.04.006.
  14. Rudwaleit M, van der Heijde D, Landewé R, Listing J, Akkoc N, Brandt J, et al. The development of Assessment of SpondyloArthritis international Society classification criteria for axial spondyloarthritis (part II): Validation and final selection. Ann Rheum Dis 2009;68:777-83. doi: 10.1136/ard.2009.108233.
  15. Goie The HS, Steven MM, van der Linden SM, Cats A. Evaluation of diagnostic criteria for ankylosing spondylitis: A comparison of the Rome, New York and modified New York criteria in patients with a positive clinical history screening test for ankylosing spondylitis. Br J Rheumatol 1985;24:242-9. doi: 10.1093/rheumatology/24.3.242.
  16. Wolfe F, Clauw DJ, Fitzcharles MA, Goldenberg DL, Katz RS, Mease P, et al. The American College of Rheumatology preliminary diagnostic criteria for fibromyalgia and measurement of symptom severity. Arthritis Care Res (Hoboken) 2010;62:600-10. doi: 10.1002/acr.20140.
  17. 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.
  18. Wendling D, Verhoeven F, Prati C. Is the Difficultto-Treat (D2T) concept applicable to axial spondyloarthritis? Joint Bone Spine 2023;90:105512. doi: 10.1016/j.jbspin.2022.105512.
  19. Perrotta FM, Scriffignano S, Ciccia F, Lubrano E. Clinical characteristics of potential “difficult-totreat” patients with psoriatic arthritis: A retrospective analysis of a longitudinal cohort. Rheumatol Ther 2022;9:1193-201. doi: 10.1007/s40744-022- 00461-w.
  20. Delepine T, Cailliau E, Philippe P, Deprez X, Taisne N, Houvenagel E, et al. Characteristics of difficult to treat axial spondyloarthritis: a comparative analysis. EULAR European Congress of Rheumatology, May 31 - June 03, 2023, Kilchberg, Switzerland: ARD 2023;82(Suppl 1):881-882.
  21. Costantino F, Aegerter P, Schett G, De Craemer AS, Molto A, Van den Bosch F, et al. Cluster analysis in early axial spondyloarthritis predicts poor outcome in the presence of peripheral articular manifestations. Rheumatology (Oxford) 2022;61:3289-98. doi: 10.1093/rheumatology/keab873.
  22. Wright GC, Kaine J, Deodhar A. Understanding differences between men and women with axial spondyloarthritis. Semin Arthritis Rheum 2020;50:687- 94. doi: 10.1016/j.semarthrit.2020.05.005.
  23. Tournadre A, Pereira B, Lhoste A, Dubost JJ, Ristori JM, Claudepierre P, et al. Differences between women and men with recent-onset axial spondyloarthritis: Results from a prospective multicenter French cohort. Arthritis Care Res (Hoboken) 2013;65:1482-9. doi: 10.1002/acr.22001.
  24. Kenar G, Can G, Cetin P, Yarkan H, Sarı I, Birlik M, et al. AB0764 gender differences in axial spondyloarthritis. Ann Rheum Dis 2015;74:1154. https://doi.org/10.1136/annrheumdis-2015- eular.5610
  25. Gracey E, Yao Y, Green B, Qaiyum Z, Baglaenko Y, Lin A, et al. Sexual dimorphism in the Th17 signature of ankylosing spondylitis. Arthritis Rheumatol 2016;68:679-89. doi: 10.1002/art.39464.
  26. de Winter JJ, Paramarta JE, de Jong HM, van de Sande MG, Baeten DL. Peripheral disease contributes significantly to the level of disease activity in axial spondyloarthritis. RMD Open 2019;5:e000802. doi: 10.1136/rmdopen-2018-000802.
  27. López-Medina C, Dougados M, Ruyssen-Witrand A, Moltó A. Evaluation of concomitant peripheral arthritis in patients with recent onset axial spondyloarthritis: 5-year results from the DESIR cohort. Arthritis Res Ther 2019;21:139. doi: 10.1186/s13075-019-1927-6.
  28. López-Medina C, Moltó A, Dougados M. Peripheral manifestations in spondyloarthritis and their effect: An ancillary analysis of the ASAS-COMOSPA study. J Rheumatol 2020;47:211-7. doi: 10.3899/ jrheum.181331.
  29. Son SM, Kim DS, Lee JS. Fibromyalgia in axial spondyloarthritis: A Meta-analysis. J Clin Rheumatol 2022;28:e222-e227. doi: 10.1097/ RHU.0000000000001612.
  30. Öğüt TS, Erbasan F, Terzioğlu ME, Aslan B, Çelik E, Yazisiz V. Neuropathic pain in axial spondyloarthropathy is underdiagnosed and a confounding factor in biologic drug-switching decision: A cross-sectional study. Clin Rheumatol 2023;42:1275-84. doi: 10.1007/s10067- 023-06531-w.
  31. Alunno A, Carubbi F, Stones S, Gerli R, Giacomelli R, Baraliakos X. The impact of fibromyalgia in spondyloarthritis: From classification criteria to outcome measures. Front Med (Lausanne) 2018;5:290. doi: 10.3389/fmed.2018.00290.
  32. Kozanoğlu E, Kelle B, Alaylı G, Kuru Ö, Çubukçu Fırat S, Demir AN, et al. Frequency of fibromyalgianess in patients with rheumatoid arthritis and ankylosing spondylitis: A multicenter study of Turkish League Against Rheumatism (TLAR) network. Arch Rheumatol 2024;39:20-32. doi: 10.46497/ ArchRheumatol.2023.9925.
  33. Wolfe F. Fibromyalgianess. Arthritis Rheum 2009;61:715-6. doi: 10.1002/art.24553.
  34. Mease PJ. Fibromyalgia, a missed comorbidity in spondyloarthritis: Prevalence and impact on assessment and treatment. Curr Opin Rheumatol 2017;29:304-10. doi: 10.1097/ BOR.0000000000000388.
  35. Ramiro S, Nikiphorou E, Sepriano A, Ortolan A, Webers C, Baraliakos X, et al. ASAS-EULAR recommendations for the management of axial spondyloarthritis: 2022 update. Ann Rheum Dis 2023;82:19-34. doi: 10.1136/ard-2022-223296.
  36. Vastesaeger N, van der Heijde D, Inman RD, Wang Y, Deodhar A, Hsu B, et al. Predicting the outcome of ankylosing spondylitis therapy. Ann Rheum Dis 2011;70:973-81. doi: 10.1136/ard.2010.147744.
  37. Baraliakos X, Koenig AS, Jones H, Szumski A, Collier D, Bananis E. Predictors of clinical remission under anti-tumor necrosis factor treatment in patients with ankylosing spondylitis: Pooled analysis from large randomized clinical trials. J Rheumatol 2015;42:1418- 26. doi: 10.3899/jrheum.141278.
  38. Maneiro JR, Souto A, Salgado E, Mera A, Gomez-Reino JJ. Predictors of response to TNF antagonists in patients with ankylosing spondylitis and psoriatic arthritis: Systematic review and metaanalysis. RMD Open 2015;1:e000017. doi: 10.1136/ rmdopen-2014-000017.
  39. Rudwaleit M, Listing J, Brandt J, Braun J, Sieper J. Prediction of a major clinical response (BASDAI 50) to tumour necrosis factor alpha blockers in ankylosing spondylitis. Ann Rheum Dis 2004;63:665-70. doi: 10.1136/ard.2003.016386.
  40. van der Heijde D, Kivitz A, Schiff MH, Sieper J, Dijkmans BA, Braun J, et al. Efficacy and safety of adalimumab in patients with ankylosing spondylitis: Results of a multicenter, randomized, double-blind, placebo-controlled trial. Arthritis Rheum 2006;54:2136-46. doi: 10.1002/art.21913.
  41. Fröhlich F, Micheroli R, Hebeisen M, Kissling S, Bürki K, Exer P, et al. HLA-B27 as a predictor of effectiveness of treatment with TNF inhibitors in axial spondyloarthritis: Data from the Swiss Clinical Quality Management Registry. Clin Rheumatol 2023;42:1267- 74. doi: 10.1007/s10067-022-06490-8.