Erkan Kozanoğlu1*, Bayram Kelle1*, Gamze Alaylı2, Ömer Kuru3, Sibel Çubukçu Fırat4, Ali Nail Demir5, Mehmet Karakoç6, Şüheda Özçakır7, Zuhal Altay8, İlknur Aktaş9, Feyza Ünlü Özkan9, Fikriye Figen Ayhan10, Erhan Çapkın11, Murat Karkucak11, Taciser Kaya12, Ülkü Uçar13, Akın Erdal14, Nurettin Taştekin15, Esra Gizem Koyuncu16, Elif Aydın17, Ömer Faruk Şendur18, İlker Ünal19, Ayşen Akıncı20

1Department of Physical Medicine and Rehabilitation, Çukurova University Faculty of Medicine, Adana, Türkiye
2Department of Physical Medicine and Rehabilitation, Ondokuz Mayıs University Faculty of Medicine, Samsun, Türkiye
3Department of Physical Medicine and Rehabilitation, University of Health Sciences, Prof. Dr. Cemil Taşcıoğlu City Hospital, Istanbul, Türkiye
4Department of Physical Medicine and Rehabilitation, Akdeniz University Faculty of Medicine, Antalya, Türkiye
5Department of Physical Medicine and Rehabilitation, Mersin City Hospital, Faculty of Medicine, Mersin, Türkiye
6Department of Physical Medicine and Rehabilitation, Dicle University Faculty of Medicine, Diyarbakır, Türkiye
7Department of Physical Medicine and Rehabilitation, Bursa Uludağ University Faculty of Medicine, Bursa, Türkiye
8Department of Physical Medicine and Rehabilitation, İnönü University Faculty of Medicine, Malatya, Türkiye
9Department of Physical Medicine and Rehabilitation, University of Health Sciences, Fatih Sultan Mehmet Training and Research Hospital, Istanbul, Türkiye
10Department of Physical Medicine and Rehabilitation, Atılım University School of Medicine, Ankara, Türkiye
11Department of Physical Medicine and Rehabilitation, Karadeniz Technical University Faculty of Medicine, Trabzon, Türkiye
12Department of Physical Medicine and Rehabilitation, University of Health Sciences, Izmir Bozyaka Training and Research Hospital, Izmir, Türkiye
13Department of Physical Medicine and Rehabilitation, Division of Rheumatology, Antalya Training and Research Hospital, Antalya, Türkiye
14Department of Physical Medicine and Rehabilitation, Atatürk University Faculty of Medicine, Erzurum, Türkiye
15Department of Physical Medicine and Rehabilitation, Trakya University Faculty of Medicine, Edirne, Türkiye
16Department of Physical Medicine and Rehabilitation, Tekirdag Dr. I. Fehmi Cumalıoğlu City Hospital, Tekirdağ, Türkiye
17Department of Physical Medicine and Rehabilitation, Adnan Menderes University Faculty of Medicine, Aydın, Türkiye
18Department of Physical Medicine and Rehabilitation, Medicana International Hospital, Izmir, Türkiye
19Department of Biostatistics and Medical Informatics, Çukurova University Faculty of Medicine, Adana, Türkiye
20Department of Physical Medicine and Rehabilitation, Hacettepe University Faculty of Medicine, Ankara, Türkiye

Keywords: Ankylosing spondylitis, fibromyalgia syndrome, fibromyalgianess, polysymptomatic distress scale, rheumatoid arthritis, widespread pain.

Abstract

Objectives: This study aimed to evaluate the frequency of fibromyalgianess, fibromyalgia syndrome (FS), and widespread pain in patients with rheumatoid arthritis (RA) and ankylosing spondylitis (AS) and their relationship with clinical and demographic parameters.

Patients and methods: This cross-sectional multicenter trial was performed in 14 centers across Türkiye between June 2018 and November 2019. Out of 685 patients recruited from the accessible population, 661 patients (342 RA, 319 AS; 264 males, 397 females; mean age: 48.1±12.9 years; range, 17 to 88 years) met the selection criteria. In these cohorts, those who did not meet the criteria for FS and had widespread pain (widespread pain index ≥7) were evaluated as a separate group. Clinical status and demographic parameters of patients in both cohorts were evaluated as well as the evaluations of RA and AS patients with widespread pain (widespread pain index ≥7) and RA and AS patients with FS groups. In addition, correlations between polysymptomatic distress scale (PSD) scores and Visual Analog Scale (VAS), Simplified Disease Activity Index (SDAI), Clinical Disease Activity Index (CDAI), and Disease Activity Score using 28 joint counts for RA patients and VAS, Bath Ankylosing Spondylitis Disease Activity Index (BASDAI), and Ankylosing Spondylitis Disease Activity Score (ASDAS) for AS patients were analyzed.

Results: Frequencies of patients with FS and patients who had PSD scores ≥12 were 34.1% and 44.4% in all RA patients, respectively. Moreover, FS and PSD scores ≥12 were found in 29.2% and 36.9% of all AS patients, respectively. PSD scores of RA patients with FS were higher than all RA patients and RA patients with widespread pain. SDAI and CDAI scores of RA patients with FS were higher than all RA patients and RA patients with widespread pain. Similarly, PSD scores of AS patients with FS were higher than all AS patients and AS patients with widespread pain. ASDAS-erythrocyte sedimentation rate and BASDAI scores of AS patients with FS were found higher than all AS patients and AS patients with widespread pain.

Conclusion: Disease activity scores, including pain in RA and AS, were higher in the presence of FS or fibromyalgianess. It may be related to clinical parameters, but cohort studies with long-term follow-up are needed to reveal causality. Additionally, to avoid overtreatment, coexistence of fibromyalgianess should be kept in mind in patients who have inflammatory diseases such as RA and AS, particularly with intractable widespread pain.

Introduction

Fibromyalgia syndrome (FS) is a chronic widespread pain syndrome characterized by fatigue, sleep disturbances, cognitive, and emotional symptoms. It also coexists with various medical disorders, including irritable bowel syndrome, dysmenorrhea, headache, and temporomandibular disorder. The prevalence ranges between 0.2% and 6% with a female predominance in the general population.[1,2]

Coexistence of FS and various inflammatory rheumatic diseases has been reported in the literature. Rate of this coexistence may be as high as 20% for systemic lupus erythematosus and 50% for primary systemic sclerosis.[3-6] Similarly, there are a number of studies suggesting the coexistence of FS and rheumatoid arthritis (RA), with a prevalence of 20% or greater.[7-12] There are a few studies concerning the prevalence of FS in spondyloarthritis in the literature. The prevalence of FS in patients with ankylosing spondylitis (AS) was reported between 14.9% and 29.6%.[13-15]

More recent studies have shown that same central nervous system processes might contribute to pain in any kind of chronic pain, including osteoarthritis, low back pain, and even inflammatory pain conditions such as RA. This phenomenon is suggested to occur over a continuum rather than being present or absent. It was termed as “fibromyalgianess” by Wolfe,[16] who demonstrated that the degree of FS predicts pain and disability in all rheumatic diseases.[4,17] In this context, over one-third of patients with RA exhibit evidence of fibromyalgianess with higher disability scores and inadequate responsiveness to RA treatment.[18] Both in RA and AS, worse outcome scores might be due to fibromyalgianess or coexisting FS, which in turn cause unnecessary medication or dose elevation. In RA, too many tender points, higher levels of pain, and global severity scores but no increase in joint swelling and laboratory parameters were reported in some studies.[12,19,20] A new scale called polysymptomatic distress scale (PSD), or fibromyalgianess scale, has been proposed to evaluate pain and symptom severity. Widespread pain, which has a separate place in the FS criteria, is defined as pain at least seven out of 19 regions in the body.[12,19,20]

Fibromyalgianess scores and FS prevalence were reported to be high in previous studies regarding rheumatological diseases. The occasional increase in symptoms during treatment, particularly in patients with RA and AS, might be accepted as disease exacerbation or drug unresponsiveness. The current study aimed to investigate the prevalence of fibromyalgianess, FS, and widespread pain, as well as their associations with clinical parameters in patients with RA and AS.

Patients and Methods

This cross-sectional, multicenter trial was conducted by the study group of Turkish League Against Rheumatism (TLAR) between June 2018 and November 2019. Fourteen clinics across Türkiye were involved in the trial. Patients who were diagnosed as RA and AS and attended their regular visits were included in the study. All patients with RA fulfilled the 2010 American College of Rheumatology/European Alliance of Associations for Rheumatology classification criteria (2010) for RA, and all patients with AS fulfilled the Assessment of SpondyloArthritis international Society criteria (2009) and the modified New York criteria (1984) for AS. In addition, the 2010 FS diagnostic criteria was used for the diagnosis of FS and fibromyalgianess. The PSD score was calculated by the widespread pain index (WPI) + symptom severity score (SSS). Accordingly, all patients who met the FS criteria had a PSD score ≥12, while patients with a PSD score ≥12 were not always diagnosed with FS. In our study, we evaluated patients with a fibromyalgianess scale score ≥12 as a separate item since Wolfe et al.[19] classified the patients who had higher scores than this cut off value as severe. Widespread pain was defined as patients with a WPI ≥7. Visual Analog Scale (VAS), Simplified Disease Activity Index (SDAI), Clinical Disease Activity Index (CDAI), and Disease Activity Score using 28 joint counts (DAS28) were calculated for patients with RA, and VAS, Bath Ankylosing Spondylitis Disease Activity Index (BASDAI), Ankylosing Spondylitis Disease Activity Score (ASDAS) and Maastricht Ankylosing Spondylitis Enthesitis Score (MASES) were calculated for patients with AS.

Rheumatoid arthritis-widespread pain group were defined as RA patients with a WPI greater than 7 but did not meet FS criteria. Additionally, RA-FS group were defined as RA patients who fully met FS criteria.

The exclusion criteria were as follows: (i) being <18 years old, (ii) being >65 years old, (iii) patients with unstable and complicated diabetes mellitus, hypertension (hypertension and fibromyalgia can be defined as autonomic dysfunction groups, and this may reveal a higher fibromyalgianess score in hypertension patients),[21] hyperthyroidism, and other metabolic diseases at the time of enrollment, and (iv) patients who had used or using glucocorticosteroids at the time of enrollment (high fibromyalgianess was associated with persistent glucocorticoid use, independent of inflammatory activity,[18] therefore glucocorticoid use was accepted as an exclusion criterion, as it might affect the results).

Türkiye is a country divided into seven geographical regions (the Aegean [the Western], the Marmara [the Northwestern], the Mediterranean [the Southern], the Black Sea [the Northern], the Central, the Eastern, and the Southeastern regions) and 81 administrative provinces. The selected 14 provinces from seven geographical regions were included as trial centers. The 14 provinces were Adana, Samsun, Istanbul, Antalya, Mersin, Diyarbakır, Bursa, Malatya, Ankara, Trabzon, Izmir, Erzurum, Edirne and Aydın. The number of patients enrolled in the trial was determined in monthly periods to minimize the seasonal effect, as some studies have reported that weather conditions can aggravate fibromyalgia symptoms.[22,23] Thus, five RA and three AS patients were enrolled in each month. In total, 685 patients (349 RA, 336 AS) were recruited from the accessible population, and 661 (342 RA, 319 AS; 264 males, 397 females; mean age: 48.1±12.9 years; range, 17 to 88 years) of these patients met the selection criteria (Figure 1). In both the RA and AS groups, PSD scores were evaluated in patients with widespread pain who did not meet the criteria for FS and who fully met the diagnostic criteria for FS. In addition, correlations between PSD scores and VAS, SDAI, CDAI, and DAS28 were evaluated for RA patients, and VAS, BASDAI, and ASDAS were assessed for AS patients.

Sample size

Initially, it was planned to enroll 623 patients for the project based on a reference study. However, since the number of diagnoses of RA and AS reported from the study centers were not known and considering other possible reasons, including dropouts, the sample size was increased by 10% to 685 patients.

Statistical analysis

All analyses were performed using IBM SPSS version 20.0 software (IBM Corp., Armonk, NY, USA). Categorical variables were expressed as numbers and percentages, whereas continuous variables were summarized as mean and standard deviation. The chi-square test and Fisher exact test were used to compare categorical variables between the groups. The normality of distribution for continuous variables was confirmed with the Shapiro-Wilk test. For comparison of continuous variables between two groups, Student's t-test or the Mann-Whitney U test was used depending on whether the statistical hypotheses were fulfilled. For the comparison of more than two groups, one-way analysis of variance or the Kruskal Wallis test was used depending on whether the statistical hypotheses were fulfilled. For normally distributed data, regarding the homogeneity of variances, Tukey or GamesHowell tests were used for multiple comparisons of groups. For nonnormally distributed data, the Bonferroni-adjusted Mann-Whitney U test was used for multiple comparisons of groups. Pearson correlation coefficient was used to evaluate the correlations between PSD scores and VAS, SDAI, CDAI, and DAS28 for RA patients and VAS, BASDAI, and ASDAS for AS patients. The statistical level of significance for all tests was considered to be 0.05.

Results

In the RA cohort, 153 patients had widespread pain, while 119 fulfilled FS criteria (Table 1). Sex and mean age of all RA patients, RA patients with widespread pain, RA patients with FS, and RA patients without FS and widespread pain are shown in Table 1. The highest scores of PSD were found in RA-FS and RA-widespread pain patient groups (Table 1). Frequencies of patients with FS and patients who had PSD scores ≥12 were also shown in Table 1. The mean PSD score of RA-widespread pain group was greater than all RA patients group (Table 1). PSD scores of female patients (11.46±6.60) were higher than male patients (9.57±6.01), and there were statistically significant differences between male and female patients (p=0.047, Table 2). In addition, there were statistically significant differences for PSD scores regarding smoking habits (p=0.035, Table 2). PSD scores were higher in RA patients who never smoked compared to RA patients who were active smokers (Table 2). No statistically significant differences were found in PSD scores regarding the alcohol consumption (p=0.804, Table 2). There were statistically significant differences in PSD scores by the means of nonsteroidal anti-inflammatory drug (NSAID) use in patients with RA (p=0.002, Table 2); PSD scores were higher in NSAID users than nonusers (Table 2). There were no statistically significant differences in PSD scores regarding methotrexate, sulfasalazine, and biologic agent users (Table 2). The number of tender and swollen joints were higher in RA patients with widespread pain and FS than RA patients without FS and widespread pain (Table 3). This situation was similar for DAS28, SDAI, and CDAI scores (Table 3). There were weak positive correlations between PSD and DAS28, SDAI, and CDAI scores (r=0.421, r=0.424, and r=0.449, respectively; p<0.001).



In the AS cohort, 121 patients had widespread pain, and 98 patients had FS (Table 4). The mean PSD score of AS patients was 17.7±4.2. The mean PSD score of AS patients without FS and widespread pain are shown in Table 4. Frequencies of patients with FS and patients who had PSD scores ≥12 are shown in Table 4. The mean PSD score of AS-widespread pain group was greater than all AS patients group (Table 4). There were statistically significant differences in PSD scores regarding sex, use of NSAIDs, and sulfasalazine (p=0.001, p=0.012, and p=0.010, respectively). Furthermore, PSD scores were higher in nonsmoker patients who did not use biologic agents, but the difference was not statistically significant (Table 5). BASDAI, MASES, ASDAS-erythrocyte sedimentation rate (ESR), and ASDAS-C-reactive protein (CRP) scores and the presence of back pain, peripheral pain, and swelling were higher in AS patients with widespread pain and FS than in AS patients without FS and widespread pain (Table 6). There were moderate positive correlations between PSD and ASDASESR, ASDAS-CRP, back pain, peripheral pain, swelling, and MASES values (r=0.542, r=0.568, r=0.595, r=0.540, and r=0.596, respectively; p<0.001). In addition, a strong positive correlation was found between PSD and BASDAI scores (r=0.711, p<0.001, Table 6).



Discussion

Fibromyalgia syndrome consist of high levels of polysymptomatic distress. Patients with inflammatory rheumatic diseases, including RA and AS, may also have pain in a number of nonarticular sites. These patients may have concomitant FS or mostly have polysymptomatic distress. The current multicenter study attempted to establish the frequency of fibromyalgianess and FS in patients with RA and AS and found a nonnegligible frequency of fibromyalgianess (approximately 40%) in both AS and RA patients. In addition, PSD scores were also correlated with disease activity measures.

According to the 2010 FS diagnostic criteria, it is necessary to have a WPI score ≥7 and SSS ≥5 or a WPI score between 3-6 and SSS ≥9 for the diagnosis of FS.[20] However, in some cases with chronic conditions, specifically with rheumatic diseases, coexisting widespread muscle and soft tissue pain is frequently observed.[3,24] This condition is generally attributed to the exacerbation of the inflammatory disease or coexisting FS. This may be confusing due to the lack of defined objective markers for the diagnosis of FS or laboratory and clinical findings that do not support the disease exacerbation. We suggest that this may be due to the condition of coexisting fibromyalgianess. Although newer diagnostic criteria for fibromyalgia have been developed, the first description of PSD scale, which is one of the main outcome scores in the current study, is based on the 2010 FS diagnostic criteria.

Fibromyalgia syndrome and some rheumatic diseases may coexist. It is suggested that these conditions might share some common inflammatory pathways. One of these theories consists of the neuroimmune pathway, and in one study, the glial marker was found increased in the brain of patients with FS.[25] This finding suggested that there may be a neuroimmune pathology in fibromyalgianess and may occur more prominently in chronic painful conditions such as rheumatic diseases. Additionally, evidence suggested that typical cytokines have effect in the pathogenesis of chronic pain syndromes like FS.[26] For example, interleukin-6, which is one of the major cytokines, could be associated with fatigue, depression, and hyperalgesia by sympathetic system activation, as suggested by Wallace et al.[27] Furthermore, it has been shown that several genes involving the regulation of serotonin and norepinephrine might have an effect in the occurrence of FS, widespread pain, and tenderness.[17]

Ankylosing spondylitis is reported to affect males more than females (approximately 2:1 ratio).[28] However, it has been reported that RA is more common in females than males (3:1 ratio).[29] Similarly, 80 to 90% of patients with FS are female.[30] In the current study, the sex ratio in RA and AS cohorts were found compatible with the literature. While the percentage of males was dominant in all AS patients, this ratio was lower in the group with AS-FS. In addition, while the female sex was higher in all RA patients, this percentage was higher in the RA-FS group. Sex was one of the determinants of coexisting FS and fibromyalgianess in patients with AS or with RA. This condition may be due to various factors. For instance, it was suggested that PSD scores were higher in females who were exposed to any form of abuse at some point in their lives.[31] Physical and psychological abuse history was not evaluated in this trial. Additionally, FS is one of the important causes of diffuse pain, and the fact that FS is more common in females may explain this situation.

An association between smoking and widespread pain was reported in the literature. This is attributed to the effect of nicotine on the pain pathways or the general damaging effect of tobacco on the musculoskeletal system through vasoconstriction, hypoxia, and defective fibrinolysis.[32] In our study, although there was a significant difference in the subgroup analysis according to smoking habits in RA cohort, the PSD scores between the RA patients who never smoked and RA patients who were active smokers were numerically similar. In addition, no significant difference was found in subgroup analysis according to smoking habits in the AS cohort.

Although there are a number of studies concerning NSAID use in FS, which are mostly related to the treatment of this syndrome, no publications have been found in the literature investigating the relationship between FS and NSAID use. Interestingly, PSD scores were found higher in NSAID users in both AS and RA groups in this study. The majority of patients using NSAIDs might have had intensive pain due to the misconception of inflammatory pain, resulting in the overuse of NSAIDs. However, the high PSD scores in these patients suggested that this may be caused by coexisting FS or fibromyalgianess. In this case, the treatment strategy should be changed.

The duration of pain was longer in RA-FS compared to those with all RA and RA-widespread pain patient groups. This can be explained by the fact that the pain characteristics of FS are more prominent, and the initial symptoms of RA may have been treated as FS for a long time since the initial symptoms were similar to those of FS. In contrast, the duration of disease for AS-widespread pain and AS-FS patients was similar, which was less than in the AS group. This may be related to the high ratio of males in AS and the atypical course of FS.

There were significant correlations between PSD and disease activity scores (DAS28 and BASDAI), but these correlations were not very strong (the highest was r=0.568 in AS and r=0.449 in RA). DAS, SDAI, and CDAI values in patients with RA were evaluated in four subgroups regarding disease activity: inactive disease, low disease activity, medium-moderate disease activity, and high disease activity. It is necessary to discuss DAS since high DAS scores are generally required to progress to further treatment options in patients with RA. In a study of Ranzolin et al.,[33] it is suggested that there is a danger to accepting DAS as “truth” in RA patients who had FS. Wolfe et al.[20] also warned the physicians and insurance companies regarding the misuse of DAS as the sole criterion for initiation and evaluation of anti-tumor necrosis factor therapy in these patients. FS differs from the frequently studied chronic widespread pain concept by its inclusion of fatigue, unrefreshed sleep, cognitive problems, and somatic symptoms. It is reported that FS is a continuum disorder.[2] Therefore, an increase in the PSD score or fibromyalgianess does not always correlate with the increase of disease activity. This condition suggested that although FS contributes to medium-moderate activity scores, RA itself has a primary effect on high disease activity values. This is also true for ASDAS scores in AS.

We found high BASDAI scores in patients with AS-widespread pain and AS-FS groups, as in other studies in the literature.[34-36] This may be explained by the fact that BASDAI is a self-assessed questionnaire, and is independent of the laboratory results. ASDAS-ESR and ASDAS-CRP values were also high in the same groups. In addition, the percentage of patients with high disease activity was greater in the AS cohort. Here, it is important for the clinician to question other symptoms of FS. Otherwise, it may unnecessarily cause a switch to advanced treatment options. The high ASDAS values were also found in some studies,[34] and highly sensitive CRP and calprotectin measurements were recommended for the evaluation of inflammation.[37,38]

The present study had some limitations. First, although fibromyalgianess and FS are reported as different disorders, the distinction between these entities is not clear and not widely accepted. Second, although we included patients with stable metabolic diseases at the time of enrollment, we did not evaluate the effects of metabolic diseases on FS and fibromyalgianess. The third limitation was the lack of control subjects in the study. Lastly, the study was not prospective in design; thus, we could not report the number of patients with widespread pain or fibromyalgianess that evolved to FS in a definite period.

In conclusion, the prevalence of FS and widespread pain were high in RA and AS patients. This situation might affect the activity scores of these two diseases. In the management of inflammatory rheumatic diseases, particularly in cases where the laboratory values are not proportional to the disease activity or clinical findings, it should be taken into consideration, and the treatment should be planned by considering the concomitant fibromyalgianess and FS to avoid using unnecessary anti-inflammatory and conventional or biologic disease-modifying antirheumatic drugs.

* The two authors contributed equally to this study.
Citation: 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(1):20- 32. doi: 10.46497/ArchRheumatol.2023.9925.

Ethics Committee Approval

The study protocol was approved by the Çukurova University Faculty of Medicine Ethics Committee (date: 02.03.2018, no: 75/43- 2018). This study was carried out in accordance with the principles of STROBE (Strengthening the Reporting of Observational Studies in Epidemiology) cohort studies checklist.

Author Contributions

All authors contributed to the study design, material preparation, data collection, analysis, interpretation and writing of the manuscript and take full responsibility for the integrity of the study and the final manuscript. All authors read and approved the final manuscript.

Conflict of Interest

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

Financial Disclosure

TLAR (Turkish League Against Rheumatism) was supported this project.

Data Sharing Statement

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

References

  1. Jones GT, Atzeni F, Beasley M, Flüß E, Sarzi-Puttini P, Macfarlane GJ. The prevalence of fibromyalgia in the general population: A comparison of the American College of Rheumatology 1990, 2010, and modified 2010 classification criteria. Arthritis Rheumatol 2015;67:568-75. doi: 10.1002/ art.38905.
  2. Tangen SF, Helvik AS, Eide H, Fors EA. Pain acceptance and its impact on function and symptoms in fibromyalgia. Scand J Pain 2020;20:727-36. doi: 10.1515/sjpain-2020-0049.
  3. Atzeni F, Cazzola M, Benucci M, Di Franco M, Salaffi F, Sarzi-Puttini P. Chronic widespread pain in the spectrum of rheumatological diseases. Best Pract Res Clin Rheumatol 2011;25:165-71. doi: 10.1016/j. berh.2010.01.011.
  4. Wallace DJ, Schwartz E, Chi-Lin H, Peter JB. The 'rule out lupus' rheumatology consultation: Clinical outcomes and perspectives. J Clin Rheumatol 1995;1:158-64.
  5. Akkasilpa S, Goldman D, Magder LS, Petri M. Number of fibromyalgia tender points is associated with health status in patients with systemic lupus erythematosus. J Rheumatol 2005;32:48-50.
  6. Wolfe F, Hawley DJ, Wilson K. The prevalence and meaning of fatigue in rheumatic disease. J Rheumatol 1996;23:1407-17.
  7. Pollard LC, Kingsley GH, Choy EH, Scott DL. Fibromyalgic rheumatoid arthritis and disease assessment. Rheumatology (Oxford) 2010;49:924-8. doi: 10.1093/rheumatology/kep458.
  8. Coury F, Rossat A, Tebib A, Letroublon MC, Gagnard A, Fantino B, et al. Rheumatoid arthritis and fibromyalgia: A frequent unrelated association complicating disease management. J Rheumatol 2009;36:58-62. doi: 10.3899/jrheum.080366.
  9. Wilke WS. Is a fundamental change in the interpretation of rheumatoid arthritis disease activity necessary? J Clin Rheumatol 2019;25:272-7. doi: 10.1097/ RHU.0000000000000937.
  10. Kim H, Cui J, Frits M, Iannaccone C, Coblyn J, Shadick NA, et al. Fibromyalgia and the prediction of two-year changes in functional status in rheumatoid arthritis patients. Arthritis Care Res (Hoboken) 2017;69:1871-7. doi: 10.1002/ acr.23216.
  11. Wolfe F, Häuser W, Hassett AL, Katz RS, Walitt BT. The development of fibromyalgia--I: Examination of rates and predictors in patients with rheumatoid arthritis (RA). Pain 2011;152:291-9. doi: 10.1016/j. pain.2010.09.027.
  12. Wolfe F, Michaud K, Busch RE, Katz RS, Rasker JJ, Shahouri SH, et al. Polysymptomatic distress in patients with rheumatoid arthritis: Understanding disproportionate response and its spectrum. Arthritis Care Res (Hoboken) 2014;66:1465-71. doi: 10.1002/ acr.22300.
  13. Rencber N, Saglam G, Huner B, Kuru O. Presence of fibromyalgia syndrome and its relationship with clinical parameters in patients with axial spondyloarthritis. Pain Physician 2019;22:E579-85.
  14. Salaffi F, De Angelis R, Carotti M, Gutierrez M, Sarzi-Puttini P, Atzeni F. Fibromyalgia in patients with axial spondyloarthritis: Epidemiological profile and effect on measures of disease activity. Rheumatol Int 2014;34:1103-10. doi: 10.1007/ s00296-014-2955-9.
  15. Haliloglu S, Carlioglu A, Akdeniz D, Karaaslan Y, Kosar A. Fibromyalgia in patients with other rheumatic diseases: Prevalence and relationship with disease activity. Rheumatol Int 2014;34:1275-80. doi: 10.1007/s00296-014-2972-8.
  16. Wolfe F. Fibromyalgianess. Arthritis Rheum 2009;61:715-6. doi: 10.1002/art.24553.
  17. Brummett CM, Clauw DJ. Fibromyalgia: A primer for the anesthesia community. Curr Opin Anaesthesiol 2011;24:532-9. doi: 10.1097/ ACO.0b013e32834a1091.
  18. Wallace BI, Moore MN, Heisler AC, Muhammad LN, Song J, Clauw DJ, et al. Fibromyalgianess and glucocorticoid persistence among patients with rheumatoid arthritis. Rheumatology (Oxford) 2022;61:1556-62. doi: 10.1093/rheumatology/ keab583.
  19. Wolfe F, Walitt BT, Rasker JJ, Katz RS, Häuser W. The use of polysymptomatic distress categories in the evaluation of fibromyalgia (FM) and FM severity. J Rheumatol 2015;42:1494-501. doi: 10.3899/ jrheum.141519.
  20. Wolfe F, Michaud K, Pincus T, Furst D, Keystone E. The disease activity score is not suitable as the sole criterion for initiation and evaluation of anti-tumor necrosis factor therapy in the clinic: Discordance between assessment measures and limitations in questionnaire use for regulatory purposes. Arthritis Rheum 2005;52:3873-9. doi: 10.1002/ art.21494.
  21. Kingsley JD, Figueroa A. Acute and training effects of resistance exercise on heart rate variability. Clin Physiol Funct Imaging 2016;36:179-87. doi: 10.1111/ cpf.12223.
  22. Bossema ER, van Middendorp H, Jacobs JW, Bijlsma JW, Geenen R. Influence of weather on daily symptoms of pain and fatigue in female patients with fibromyalgia: A multilevel regression analysis. Arthritis Care Res (Hoboken) 2013;65:1019-25. doi: 10.1002/acr.22008.
  23. Bennett RM, Jones J, Turk DC, Russell IJ, Matallana L. An internet survey of 2,596 people with fibromyalgia. BMC Musculoskelet Disord 2007;8:27. doi: 10.1186/1471-2474-8-27.
  24. Iannuccelli C, Spinelli FR, Guzzo MP, Priori R, Conti F, Ceccarelli F, et al. Fatigue and widespread pain in systemic lupus erythematosus and Sjögren’s syndrome: Symptoms of the inflammatory disease or associated fibromyalgia? Clin Exp Rheumatol 2012;30(6 Suppl 74):117-21.
  25. Alshelh Z, Brusaferri L, Saha A, Morrissey E, Knight P, Kim M, et al. Neuroimmune signatures in chronic low back pain subtypes. Brain 2022;145:1098-110. doi: 10.1093/brain/awab336.
  26. Rodriguez-Pintó I, Agmon-Levin N, Howard A, Shoenfeld Y. Fibromyalgia and cytokines. Immunol Lett 2014;161:200-3. doi: 10.1016/j. imlet.2014.01.009.
  27. Wallace DJ, Linker-Israeli M, Hallegua D, Silverman S, Silver D, Weisman MH. Cytokines play an aetiopathogenetic role in fibromyalgia: A hypothesis and pilot study. Rheumatology (Oxford) 2001;40:743- 9. doi: 10.1093/rheumatology/40.7.743.
  28. Hwang MC, Ridley L, Reveille JD. Ankylosing spondylitis risk factors: A systematic literature review. Clin Rheumatol 2021;40:3079-93. doi: 10.1007/ s10067-021-05679-7.
  29. Favalli EG, Biggioggero M, Crotti C, Becciolini A, Raimondo MG, Meroni PL. Sex and management of rheumatoid arthritis. Clin Rev Allergy Immunol 2019;56:333-45. doi: 10.1007/s12016-018- 8672-5.
  30. Wolfe F, Walitt B, Perrot S, Rasker JJ, Häuser W. Fibromyalgia diagnosis and biased assessment: Sex, prevalence and bias. PLoS One 2018;13:e0203755. doi: 10.1371/journal.pone.0203755.
  31. Nicol AL, Sieberg CB, Clauw DJ, Hassett AL, Moser SE, Brummett CM. The association between a history of lifetime traumatic events and pain severity, physical function, and affective distress in patients with chronic pain. J Pain 2016;17:1334-48. doi: 10.1016/j.jpain.2016.09.003.
  32. Pamuk ON, Dönmez S, Cakir N. The frequency of smoking in fibromyalgia patients and its association with symptoms. Rheumatol Int 2009;29:1311-4. doi: 10.1007/s00296-009-0851-5.
  33. Ranzolin A, Brenol JC, Bredemeier M, Guarienti J, Rizzatti M, Feldman D, et al. Association of concomitant fibromyalgia with worse disease activity score in 28 joints, health assessment questionnaire, and short form 36 scores in patients with rheumatoid arthritis. Arthritis Rheum 2009;61:794-800. doi: 10.1002/art.24430.
  34. Wach J, Letroublon MC, Coury F, Tebib JG. Fibromyalgia in spondyloarthritis: Effect on disease activity assessment in clinical practice. J Rheumatol 2016;43:2056-63. doi: 10.3899/ jrheum.160104.
  35. Almodóvar R, Carmona L, Zarco P, Collantes E, González C, Mulero J, et al. Fibromyalgia in patients with ankylosing spondylitis: Prevalence and utility of the measures of activity, function and radiological damage. Clin Exp Rheumatol 2010;28(6 Suppl 63):S33-9.
  36. Azevedo VF, Paiva Edos S, Felippe LR, Moreira RA. Occurrence of fibromyalgia in patients with ankylosing spondylitis. Rev Bras Reumatol 2010;50:646-50.
  37. Machado P, Navarro-Compán V, Landewé R, van Gaalen FA, Roux C, van der Heijde D. Calculating the ankylosing spondylitis disease activity score if the conventional c-reactive protein level is below the limit of detection or if high-sensitivity c-reactive protein is used: An analysis in the DESIR cohort. Arthritis Rheumatol 2015;67:408-13. doi: 10.1002/art.38921.
  38. Turina MC, Yeremenko N, Paramarta JE, De Rycke L, Baeten D. Calprotectin (S100A8/9) as serum biomarker for clinical response in proof-of-concept trials in axial and peripheral spondyloarthritis. Arthritis Res Ther 2014;16:413. doi: 10.1186/s13075-014-0413-4.