- About this Journal ·
- Abstracting and Indexing ·
- Aims and Scope ·
- Article Processing Charges ·
- Articles in Press ·
- Author Guidelines ·
- Bibliographic Information ·
- Citations to this Journal ·
- Contact Information ·
- Editorial Board ·
- Editorial Workflow ·
- Free eTOC Alerts ·
- Publication Ethics ·
- Reviewers Acknowledgment ·
- Submit a Manuscript ·
- Subscription Information ·
- Table of Contents
Pain Research and Treatment
Volume 2012 (2012), Article ID 426130, 17 pages
Fibromyalgia Syndrome: Etiology, Pathogenesis, Diagnosis, and Treatment
1Department of Orthopedics and Traumatology, CTO—Maria Adelaide Hospital, University of Turin Medical School, Via Zuretti 29, 10126 Turin, Italy
2Department of Orthopedics and Traumatology, Mauriziano Umberto I Hospital, University of Turin Medical School, Largo Turati 62, 10128 Turin, Italy
Received 28 June 2012; Revised 9 September 2012; Accepted 12 September 2012
Academic Editor: Jonathan O. Dostrovsky
Copyright © 2012 Enrico Bellato et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Fibromyalgia syndrome is mainly characterized by pain, fatigue, and sleep disruption. The etiology of fibromyalgia is still unclear: if central sensitization is considered to be the main mechanism involved, then many other factors, genetic, immunological, and hormonal, may play an important role. The diagnosis is typically clinical (there are no laboratory abnormalities) and the physician must concentrate on pain and on its features. Additional symptoms (e.g., Raynaud’s phenomenon, irritable bowel disease, and heat and cold intolerance) can be associated with this condition. A careful differential diagnosis is mandatory: fibromyalgia is not a diagnosis of exclusion. Since 1990, diagnosis has been principally based on the two major diagnostic criteria defined by the ACR. Recently, new criteria have been proposed. The main goals of the treatment are to alleviate pain, increase restorative sleep, and improve physical function. A multidisciplinary approach is optimal. While most nonsteroidal anti-inflammatory drugs and opioids have limited benefit, an important role is played by antidepressants and neuromodulating antiepileptics: currently duloxetine (NNT for a 30% pain reduction 7.2), milnacipran (NNT 19), and pregabalin (NNT 8.6) are the only drugs approved by the US Food and Drug Administration for the treatment of fibromyalgia. In addition, nonpharmacological treatments should be associated with drug therapy.
Fibromyalgia is a syndrome characterized by chronic widespread pain at multiple tender points, joint stiffness, and systemic symptoms (e.g., mood disorders, fatigue, cognitive dysfunction, and insomnia) [1–4] without a well-defined underlying organic disease. Nevertheless, it can be associated with specific diseases such as rheumatic pathologies, psychiatric or neurological disorders, infections, and diabetes.
What today is defined as fibromyalgia had already been described in the nineteenth century. In 1904, Gowers  coined the term “fibrositis” which was used until the seventies and eighties of the last century when an etiology involving the central nervous system was discovered. But it was Graham  in 1950 who introduced the modern concept of fibromyalgia as “pain syndrome” in the absence of a specific organic disease. Then in the mid-1970s Smythe and Moldofsky  coined the new term “fibromyalgia” and identified regions of extreme tenderness, the so-called “tender points.” Only in 1990 did the American College of Rheumatology committee write up the widely used diagnostic criteria  that have only recently been modified [9, 10]. The prevalence of fibromyalgia has been estimated to be around 1%-2% (3.4% for women and 0.5% for men) [11, 12]. However, it is still a poorly understood condition that is difficult to diagnose.
This paper is based on a systematic search of the PubMed database to identify articles related to fibromyalgia. The searches were restricted to English language citations from the inception of the database to June 2012. Relevant articles from the bibliographies of selected articles were also identified and used in this paper. All selected articles were published between 1904 and 2012.
This paper is primarily intended to assist orthopedic surgeons who find themselves faced with patients’ referring musculoskeletal symptoms affected by (often undiagnosed) fibromyalgia. It is very important to know and to remember this syndrome so that the patient can be sent to the correct specialist.
2. Etiology and Pathogenesis
The etiology and pathogenesis of fibromyalgia are still not fully understood. Several factors such as dysfunction of the central and autonomic nervous systems, neurotransmitters, hormones, immune system, external stressors, psychiatric aspects, and others seem to be involved.
2.1. Central Nervous System (CNS)
Central sensitization is considered the main mechanism involved and it is defined by the increased response to stimulation mediated by CNS signaling . Central sensitization is the consequence of spontaneous nerve activity, enlarged receptive fields, and augmented stimulus responses transmitted by primary afferent fibers . An important involved phenomenon seems to be the “windup” which reflects the increased excitability of spinal cord neurons: after a painful stimulus, subsequent stimuli of the same intensity are perceived as stronger ; this occurs normally in everyone , but it is excessive in fibromyalgic patients . These phenomena are an expression of neuroplasticity and are mainly mediated by N-methyl-D-aspartate (NMDA) receptors located in the postsynaptic membrane in the dorsal horn of the spinal cord [18–21].
Another mechanism supposedly involves the well-known descending inhibitory pain pathways, which modulate spinal cord responses to painful stimuli. They seem to be impaired in patients with fibromyalgia, helping to exacerbate the central sensitization [14, 22, 23].
Apart from augmented neuronal mechanisms, glial cell activation also appears to play an important role in the pathogenesis of fibromyalgia because they help to modulate pain transmission in the spinal cord. Activated by various painful stimuli, they release proinflammatory cytokines, nitric oxide, prostaglandins, and reactive oxygen species that stimulate and prolong spinal cord hyperexcitability [24–26].
Also, various neurotransmitters seem to be involved in the central sensitization. Serotonin (5-HT) has a significant role in the modulation of pain , and several studies have been carried out looking for modified levels of this molecule in the serum and in the cerebrospinal fluid (CSF). Also, 5-HT’s precursor tryptophan and its metabolites have been measured in the blood and in the CSF and the urine with conflicting data. In some studies 5-HT was found at low levels either in the serum [28–30] or in CSF  while other authors have not found statistical differences in 5-HT levels between affected patients and controls either in serum  or in CSF . Serotonin is involved also in the regulation of mood and sleep [33, 34] and this could explain the association between fibromyalgia and sleep and mental disorders.
Other neurotransmitters also play a role. There are data suggesting the involvement of norepinephrine , dopamine [35, 36], substance P (whose levels are typically high in cases of fibromyalgia as its synthesis is inhibited by 5-HT) [37–39], endorphins, and metenkephalins [40, 41]. These peptides of the endogenous opioid system seem to be hyperactive but somehow are unable to modulate pain in these patients. This could explain the reduced efficacy of exogenous opiates in this population .
Functional neuroimaging studies support the involvement of the brain in the pathogenesis of this condition.
Single-photon-emission computed tomography (SPECT) was one of the first functional neuroimaging techniques to be used for this. After the infusion of a radioactive tracer, this technique provides a measure of regional cerebral blood flow (rCBF) throughout the brain, reflecting neural activity. The thalamus seems to be a region of interest. Mountz et al.  compared baseline levels of rCBF in 10 patients with 7 controls, demonstrating decreased rCBF in bilateral thalamus and caudate nucleus in the first group. The involvement of thalamus and basal ganglia was also proposed by Adigüzel et al. : he demonstrated increases in rCBF in these regions after treatment with amitriptyline. Kwiatek et al.  showed decreased rCBF in the right thalamus, the inferior dorsal pons, and next to the right lentiform nucleus. Bradley et al.  also replicated the finding of low rCBF in the right thalamus.
Positron emission tomography (PET) uses radioactive tracers like SPECT, but it is characterized by increased temporal and spatial resolution. For example, Wik et al.  compared rCBF in 8 patients and controls at rest. Patients showed higher rCBF than controls in the retrosplenial cortex bilaterally, while lower rCBF in the left frontal, temporal, parietal, and occipital cortices. This could reflect increased attention towards subnoxious somatosensory signaling and a dysfunction of the normal cognitive processing of pain in patients affected by fibromyalgia. PET with fluorodeoxyglucose (FDG) helps to assess variations in glucose metabolism. Yunus et al.  did not find significant differences at rest between 12 fibromyalgic patients and 7 controls, while Walitt et al.  showed an association between the increased metabolic activity in limbic structures and the improvement in a comprehensive treatment program. Using the radiolabeled opioid carfentanil, Harris et al.  tried to explain the apparently paradoxical hyperactivity of the endogenous opioid system. He showed a significantly reduced overall opioid receptor binding potential in patients affected by fibromyalgia. The right and left nucleus accumbens and the left amygdale were the regions most significantly involved and a trend towards reduction was also seen in the right dorsal anterior cingulate cortex. These findings could reflect occupancy by endogenous opioids released in response to the ongoing pain and a receptor downregulation.
Functional magnetic resonance imaging (fMRI) has greater temporal and spatial resolution than either SPECT or PET. In the first fMRI study of fibromyalgia  16 patients and 16 controls underwent fMRI during painful stimulation. First the 2 groups were stimulated with the same pressure; then the intensity of stimulation of controls was increased to deliver a subjective level of pain similar to that experienced by the patients. Neural activation patterns were similar only under the second condition of painful stimulation. These findings support the hypothesis of a model of centrally augmented pain processing. Cook et al.  examined with fMRI the response of two groups of women (9 patients and 9 controls) to both painful and nonpainful stimuli. In response to nonpainful stimuli patients showed significantly greater activity than controls in insular, prefrontal, supplemental motor and anterior cingulate cortices. In response to painful stimuli the contralateral insular cortex was significantly activated to a greater extent in patients than it was in controls. Other recent studies have suggested the role of cortical structures, such as the insular cortex [52, 53], the right premotor cortex, the supplementary motor area, the midcingulate cortex, and the right inferior frontal gyrus .
The role of the thalamus has been recently underlined by Foerster et al.  who explored correlations between rCBF and levels of both clinical and evoked pain. They showed a significant correlation between the rCBF in the bilateral thalami and the BPCQ-INT scale , a self-report questionnaire used to evaluate personal control of pain. In addition the rCBF values of the thalamus appeared less correlated with the values detected in other brain regions in patients than in controls.
Functional magnetic resonance imaging seems also to be useful to better understand the role of the descending inhibitory pain system. In the study done by Jensen et al.  16 patients and 16 controls underwent fMRI during individually calibrated painful pressure. They did not find different activities in brain regions involved in attention or affectivity, or regions with sensory connections with the stimulated body area. Interestingly, they showed attenuated response to pain in the rostral anterior cingulate cortex, an important region of the descending pain regulating system. This may explain the impairment of this system, as previously proposed by various authors [14, 22, 23]. In a subsequent study Jensen compared the functional connectivity of the descending inhibitory pain pathways in fibromyalgic patients and controls . He mainly focused on the rostral anterior cingulate cortex and the thalamus. Controls showed higher rACC connectivity to the bilateral hippocampi, amygdala, brainstem, and the rostral ventromedial medulla (regions involved in the pain inhibitory network); they also showed higher thalamus connectivity to the orbitofrontal cortex (the region involved in pain and emotion regulation through both cognitive evaluative processes and homeostatic control).
Additional neuroimaging methods have been used to understand central pathogenesis of fibromyalgia.
Voxel-based morphometry (VBM) uses MRI images to assess the volume of specific brain regions. Various studies have shown loss of grey matter in fibromyalgic patients involving the amygdala, the cingulate cortex, and the hippocampus [58–61]. The significance of this atrophy is not clear.
Diffusion tensor imaging (DTI) is based on the movement of water through brain tissue and provides information about the integrity of white matter. Sundgren et al.  showed a reduced signal in the right thalamus in patients affected by fibromyalgia and the reduction was statistically greater in patients referring worse pain.
Magnetic resonance spectroscopy (MRS) evaluates a signal that reflects the concentration of various molecules (e.g., glycine, glutamate, and aspartate) in relation to a standard molecule. Patients affected by fibromyalgia showed a different ratio of choline/creatine within the dorsolateral prefrontal cortex and a different ratio of glutamate/glutamine within the insula and the posterior gyrus [63–65].
Arterial spin labeling (ASL) is similar to fMRI, but uses magnetized blood as contrast agent. The signal of rCBF is mostly from the parenchyma improving the spatial localization. Few authors have used ASL: Owen found abnormal activations in the bilateral insula, the secondary somatosensory cortex, the cingulate cortex, the contralateral primary somatosensory cortex, and the ipsilateral thalamus ; Hernandez found decreased rCBF in the bilateral thalamus in fibromyalgic patients .
2.2. Neuroendocrine System and Autonomic Nervous System
As fibromyalgia is considered a stress-related disorder, it is easy to understand that the hypothalamic-pituitary-adrenal (HPA) axis is involved . Different studies showed elevated cortisol levels, particularly in the evening, associated with a disrupted circadian rhythm [69, 70]. In addition, these patients showed high values of adrenocorticotropic hormone (ACTH) both basally [71, 72] and in response to stress—most likely as a consequence of a chronic hyposecretion of corticotropin-releasing hormone (CRH) . These alterations are probably related to low levels of 5-HT observed in cases of fibromyalgia, because serotoninergic fibers regulate the HPA axis function .
Growth hormone (GH) levels tend to be normal during the day, reduced during sleep. It is likely that the explanation is twofold. First, GH is mainly secreted during stage 4 of sleep and this phase is disrupted in patients affected by fibromyalgia. Second, these patients have high levels of somatostatin, a GH inhibitor, induced by ACTH whose levels are high as previously mentioned . Thyroid hormone levels are usually normal, even if the patients often show symptoms of hypothyroidism and there is some evidence suggesting an association with abnormal thyrotropin-releasing hormone (TRH) stimulation tests . Gonadotropin and gonadal steroid secretion is usually normal [76–78], apparently without any correlation to the higher incidence of fibromyalgia in females.
Various studies, the most recent of which is based on methodologies such as power spectrum analysis of heart rate variability [79, 80] and tilt table tests , seem to confirm that in fibromyalgia the sympathetic nervous system is persistently hyperactive, but hyporeactive to stress. This could explain some clinical symptoms such as fatigue, morning stiffness, sleep disorders, anxiety, pseudo-Raynaud’s phenomenon, sicca symptoms, and bowel irritability . High serum levels of neuropeptide Y, which is normally secreted along with norepinephrine, are supposed to be a sign of this dysautonomic state .
2.3. Sleep Disturbances
Patients with fibromyalgia often complain of sleep disorders  and these are probably involved in its pathogenesis . As revealed by electroencephalographic examinations, the fourth phase of sleep is the most disturbed and a direct consequence should be a deficit of GH and insulin-like growth factor 1 (IGF-1) [84, 85]. Given that these hormones are involved in muscle microtrauma repair, the healing of this tissue could be affected by sleep disturbances .
2.4. Genetic Factors
Genetic predisposition is likely to be an important factor as suggested by several familial studies [87, 88] and transmission is thought to be polygenic . Among the various genes investigated, the most important are associated with neurotransmitters. The serotonin transporter gene is characterized by a single nucleotide polymorphism; the “S” (short) allele is more frequent in patients affected by fibromyalgia and by psychological distress [90, 91]. Other genes presumed to be involved are the catechol-O-methyltransferase gene [92, 93], the dopamine D4 receptor gene , and the HLA-region .
2.5. Immune System
Fibromyalgia is common in patients affected by autoimmune disease [96–98]. Different studies in the literature deal with autoantibodies in fibromyalgia [99–102] with equivocal results. In particular several authors have investigated the association between this disease and antipolymer antibodies (APAs) [103, 104]: the results are controversial and APAs cannot be used as a marker for diagnosis .
2.6. Psychiatric Aspects
Psychiatric problems seem to contribute considerably to the development of fibromyalgia. The prevalence of psychiatric conditions among patients affected by fibromyalgia is higher than among subjects complaining of other rheumatic diseases . The most common disorders associated are anxiety, somatization, dysthymia, panic disorders, posttraumatic stress, and overall depression [106–110]. Depression is more frequently associated with fibromyalgia than with other musculoskeletal diseases  and the dysfunction of the 5-HT system might play a role . Depression worsens fibromyalgic symptoms and vice versa, and antidepressants represent a cornerstone of fibromyalgia therapy [113–115].
2.7. Peripheral Tissues
Peripheral tissues such as skin, muscles, and microvessels are coming under closer investigation. Vascular dysregulation in muscles , inadequate response to oxidative stress  exacerbated by the nocturnal fall in saturation , increased IL-1 in cutaneous tissues, increased substance P in muscles, and DNA fragmentations of muscle fibers  are all suspected to possibly play a role in this condition.
2.8. Trigger Factors
Infections seem to be able to induce fibromyalgia even if a direct causal relationship is not documented . In particular, viruses such as HCV, HIV, Coxsackie B, and Parvovirus [121–124] and bacteria like Borrelia [125, 126] could be involved. An important role dealing with this association might be played by cytokines [127–129] and by glial cells, which, for example, express receptors for bacteria and viruses [130, 131].
Physical trauma , vaccinations , and chemical substances  may also be trigger factors. However, it is worth recalling findings by Greenfield who noticed no precipitant factor in 72% of patients included in his research .
Many cases of fibromyalgia do not precisely align with a standardized set of diagnostic criteria. However, it is not believed to be a diagnosis of exclusion, although some healthcare providers have labeled it as such. Because there is an absence of absolute, definitive diagnostic criteria with universal applicability, providers often settle upon this diagnosis following negative testing for other differentials .
Rather than assuming a diagnosis of fibromyalgia, carefully considering a multitude of potential diagnoses (shown in Table 1) will decrease the likelihood of a misdiagnosis. Five of the common differentials to consider in patients exhibiting symptoms of fibromyalgia are mental health disorders, hypothyroidism, rheumatoid arthritis, adrenal dysfunction, and multiple myeloma .
Diagnosis is difficult and frequently missed because symptoms are vague and generalized. Despite this, three main symptoms are referred by almost every patient: pain, fatigue, and sleep disturbance [137, 138]. In particular the physician must investigate the features of the pain: it is typically diffuse, multifocal, deep, gnawing, or burning. It often waxes and wanes and is frequently migratory. If this is the case, fibromyalgia should be suspected since often this kind of pain is not the result of inflammation or damage in the area of the region(s) of interest. It is also important to evaluate additional symptoms, which may seem unrelated to fibromyalgia, such as weight fluctuations, morning stiffness, irritable bowel disease, cognitive disturbance, headaches, heat and cold intolerance, irritable bladder syndrome, restless legs, and Raynaud’s phenomenon .
The musculoskeletal and neurological examinations are normal in fibromyalgia patients . A detectable sign is the presence of the tender points, as explained by the American College of Rheumatology (ACR) .
They are specific places on the body that are painful when a standard amount of pressure (about 4 kg) is applied.
With respect to laboratory tests, they should be limited to a complete blood count, routine serum chemistries, thyroid-stimulating hormone (hypothyroidism may have symptoms similar to fibromyalgia or may accompany fibromyalgia) and erythrocyte sedimentation rate and/or C-reactive protein. Typically there are no laboratory abnormalities specifically associated with this condition. ANA (antinuclear antibody) test is quite often ordered and it may be positive, but the rate of a positive test in fibromyalgia patients is the same as normal controls [2, 139].
As such, diagnosis is principally based on the two major diagnostic criteria defined by the ACR in 1990 : (1) a history of widespread musculoskeletal pain present for at least three months, and (2) tenderness in at least 11 of 18 defined tender points shown in Figure 1 (both criteria must be satisfied). The pain must affect both sides of the body, must affect areas above and below the waist, and must be also axial. For a tender point to be considered positive it must be evaluated by digital palpation with about 4 kg of pressure (when the thumbnail bed blanches) and the subject must state that the palpation was “painful” (“irritating” is not sufficient).
A proliferation of studies followed publication of the 1990 criteria. According to PubMed (http://www.ncbi.nlm.nih.gov/pubmed/), 361 English-language original articles with “fibromyalgia” as a keyword were published in the 20 years before the criteria existed, compared with 3844 in the 20-year period after the publication . The 1990 ACR classification criteria have brought numerous benefits: studies have begun to unravel the etiology and impact of the disorder; treatment strategies have improved; patients have also benefited from increased recognition and diagnosis of the disorder.
Even though these criteria are useful for standardizing the diagnosis, they have been criticized: during these 20 years a number of practical and philosophical objections have been raised in relation to the 1990 ACR classification criteria. The most notable have been the criticisms about the use and interpretation of tender-point count [141, 142], the lack of consideration of associated symptoms [143–146], and neglect of the possibility that fibromyalgia might represent the extreme end of a widespread musculoskeletal pain continuum .
To address these issues Wolfe and colleagues undertook a two-phase multicentre study to develop criteria for fibromyalgia that do not require a tender-point count and that provide a severity scale for associated fibromyalgia symptoms: the ACR 2010 criteria . Thirty-two physicians, experienced in fibromyalgia and tender-points examination, interviewed and physically assessed 433 patients with a current or previous diagnosis of fibromyalgia (diagnosed using physicians’ usual methods) and 396 matched controls (diagnosed with noninflammatory pain disorders). Two factors best discriminated between patients with fibromyalgia and those with other disorders: the widespread pain index (WPI), a count of number of painful body regions, and the Symptom Severity (SS) scale, a measure of cognitive symptoms, sleep, fatigue, and additional somatic symptoms.
In developing the 2010 ACR criteria, the investigators sought to simplify clinical diagnosis of fibromyalgia, but not to facilitate self-diagnosis; the criteria require a clinical assessment of the severity of comorbid symptoms .
The widespread distribution of pain and its chronology remain defining characteristics of fibromyalgia in the 2010 ACR criteria. Importantly, the new criteria also assess the presence and severity of associated symptoms via the SS scale; however, it has been suggested that this new part introduces ambiguity into the clinical diagnosis. For example, there is a notable subjective nature of counting somatic symptoms . How many symptoms constitute “a few,” “a moderate amount,” or “a great deal?” Wolfe and colleagues , suggest that the diagnosing physician should make this judgment using their clinical experience to guide them.
This issue has begun to be addressed in the development and modification of the 2010 ACR criteria for use in clinical and epidemiological studies .
In their modified 2010 diagnostic criteria (intended for use in postal surveys), Wolfe et al. retain the 19-site WPI and the self-reported specific symptoms, but eliminate the physician estimation of SS score and replace it with three dichotomous “yes/no” answers regarding the presence of abdominal pain, depression, and headaches in the past 6 months .
All these criteria are pooled to give an 0–31 fibromyalgia symptoms (FS) score.
The authors report that an FS score of ≥13 correctly classified 93% of patients identified as having fibromyalgia on the basis of the 1990 criteria with a specificity of 96.6% and sensitivity of 91.8% .
An implicit aim of the 2010 criteria is to facilitate more rigorous study of fibromyalgia etiology . In common with all complex disorders, the onset of fibromyalgia will be attributable to multiple factors that interact in intricate ways to determine outcome. Studies of etiology need to explore these interactions, although often fail to do so. This problem is neither new nor unique to fibromyalgia research. In epidemiology research, the strongest study design is arguably the prospective cohort study: putative risk factors are measured among a cohort of people without fibromyalgia, who are followed up over time to identify individuals who develop the disorder. The relationship between risk factor exposure and the onset of fibromyalgia can then be assessed, and associations inferred. However, incidence and prevalence of fibromyalgia are low in general population, and the number of disorder-free individuals who would need to be assessed is consequently high.
The 2010 ACR criteria will usefully address the problem, by removing the tender-point examination, and with the publication of modified self-completed criteria that can be included in large scale epidemiological investigations ; consequently future studies will be able to assess the large number of people necessary to identify sufficient numbers of incident cases of fibromyalgia.
Wolfe et al.  and others  have noted that the new criteria are “almost as good” as the previous classification, with the 2010 criteria correctly classifying 80% of subjects who would have been classified using the 1990 criteria. A comparison between 1990 and 2010 ACR classification criteria for fibromyalgia is shown in Table 2.
The goals of fibromyalgia treatment are to alleviate pain, increase restorative sleep, and improve physical function through a reduction in associated symptoms . The identification and treatment of all pain sources that may be present in addition to fibromyalgia such as peripheral inflammatory or neuropathic pain generators (e.g., comorbid osteoarthritis or neuropathic pathologies) or visceral pain (e.g., comorbid irritable bowel syndrome) are central to the proper clinical management of fibromyalgia .
Because pain, depression, and other symptoms of fibromyalgia are linked to inherited and environmental causes, a multifaceted treatment approach is often required including both nonpharmacological pain management strategies and medication .
The American Pain Society (APS) and the Association of the Scientific Medical Societies in Germany (AWMF) gave the highest level of recommendation to (1) aerobic exercise, (2) cognitive-behavioral therapy (CBT), (3) amitriptyline, and (4) multicomponent therapy. The APS guideline and AWMF guideline were completed prior to the approval of pregabalin and duloxetine for the treatment of fibromyalgia by the United States Food and Drug Administration (FDA). The European League Against Rheumatism (EULAR) gave the highest level of recommendation of “A” to a set of pharmacological treatments (i.e., tramadol, amitriptyline, fluoxetine, duloxetine, milnacipran, moclobemide, pirlindol, tropisetron, pramipexole, and pregabalin), a recommendation strength of “B” to aerobic exercise, and a recommendation strength of only “D” to CBT. EULAR did not give any recommendations for cyclobenzaprine, multicomponent treatment, patient education, hypnotherapy, biofeedback, or other complementary and alternative medicine approaches (CAM), such as acupuncture or homeopathy, whereas EULAR gave a “D” recommendation for CBT, and the APS and AWMF decided on an “A” recommendation. Whereas EULAR and AWMF did not recommend strong opioids (expert opinion), APS recommendation strength was a “C”. APS and AWMF provided the same strength of recommendation (“B”) to tramadol, balneotherapy, hypnotherapy, biofeedback, massage therapy, pregabalin, fluoxetine, and duloxetine. Whereas APS recommended patient education as a single intervention (“B”), acupuncture (“C”), and trigger point injections (“C”), AWMF did not recommend patient education as a single intervention (“A”), acupuncture (“A”) (a minority report recommended acupuncture with a strength of “B”), and trigger point injections (“C”). All three guidelines recommend against the use of NSAIDs (as a single intervention) or corticosteroids .
Evaluating the comparative efficacy of interventions for fibromyalgia is difficult because no common definition of response in fibromyalgia exists. At present, the inclusion of assessment domains is inconsistent, and there is wide variation in the use of instruments indexing those domains. Historically, many symptoms have been thought to be associated with fibromyalgia. Because an assessment of all symptoms in each patient is not feasible; consensus was required to identify the key domains that needed to be assessed to determine clinically meaningful improvement. Much of the work in this area has been organized by the Outcome Measures in Rheumatology (OMERACT) Fibromyalgia working group .
It was observed that the responder definitions that best favored drug over placebo included improvement in pain and physical function as well as improvement in either sleep or fatigue (at least 30% improvement over placebo in the symptom domains) . Along with pain, sleep disturbance and fatigue have been consistently ranked by patients and clinicians as being among the most common and troublesome symptoms of fibromyalgia . The other responder definition that performed well in the analysis included additional symptom domains of depression, anxiety, and cognitive dysfunction to reflect the heterogeneity of the fibromyalgia population and the recognition that some treatments may affect these other domains of importance. A responder definition that includes improvement in specific key symptom domains in addition to pain evaluates the broader impact of fibromyalgia on patients and addresses the limitations of other composite responder definitions for fibromyalgia trials that focused only on the symptom of pain.
In terms of nonsteroidal anti-inflammatory drugs (NSAIDs), ibuprofen and naproxen have been shown to be no better than placebo , although there is some evidence that NSAIDs may have a synergistic effect when combined with centrally active agents like tricyclic antidepressants and anticonvulsants . Furthermore, a survey of 1042 patients affected by fibromyalgia found that 66.1% deemed NSAIDs more effective than acetaminophen . Given the acceptable adverse effect profile of simple analgesic drugs and, in selected populations, NSAIDS, it seems reasonable to include them in the management of fibromyalgia, despite the lack of conclusive evidence.
The prevalence of opioid use by fibromyalgia patients is unknown, although Goldenberg et al.  reported the use of any analgesic drug other than NSAIDs in 52% in a cross-sectional study. Opioids are not, however, recommended by any current guidelines for the management of fibromyalgia [153, 160, 161].
Tramadol has been found to be beneficial in fibromyalgia patients [160, 162]. It is an atypical pain reliever that has a different action on the CNS (the reuptake of serotonin and norepinephrine) from that of other narcotics. Alone or in combination with acetaminophen, it is commonly prescribed at a dose of 200–300 mg/day to relieve fibromyalgia-related pain [163, 164]. Significant differences () were observed between the tramadol/acetaminophen and placebo groups for improvements in sleep adequacy (9.3 versus +6.7) and sleep duration (0.4 hours versus 0.2 hours), but not for the other measures of sleep. Its potential for drug abuse is fortunately negligible, but there is a theoretical risk of seizures and serotoninergic syndrome when it is combined with selective serotonin reuptake inhibitors (SSRIs), serotonin-noradrenalin reuptake inhibitors (SNRIs), monoamine oxidase inhibitors (MAOIs), and triptans, although only a few cases have been described .
Both antidepressants and neuromodulating antiepileptics substantially reduce fibromyalgia symptoms. Among antidepressants, serotonin and norepinephrine reuptake inhibitors have been found to provide the best efficacy and tolerability for fibromyalgia [166, 167]. Both duloxetine and milnacipran belong to the serotonin-norepinephrine reuptake inhibitor class of antidepressants and reduce pain by increasing activity of noradrenergic antinociceptive pathways. Both have shown efficacy in randomized, blinded, controlled studies .
Duloxetine should be considered in patients with significant depression symptoms. The maximum dosage for the treatment of fibromyalgia is 60 mg daily, but, due to nausea, 30 mg daily is often started initially .
Milnacipran has increased selectivity for norepinephrine than for serotonin. It may be helpful in patients with significant fatigue or cognitive dysfunction. The initial dose is 12.5 mg daily which is increased over several weeks to a maximum daily dose of 100 mg, given in two separate doses. In the milnacipran trials, the composite responder definition for the treatment of fibromyalgia consisted of 3 components: (1) 30% improvement from baseline in pain, (2) a rating of “very much improved” (score 1) or “much improved” (score 2) on the Patient Global Impression of Change (PGIC) scale, and (3) six-point improvement from baseline in physical function (SF-36 Physical Component Summary (PCS) score) .
Pregabalin is an 2- ligand that has analgesic, anxiolytic-like, and anticonvulsant activity in animal models, and biochemical studies have found that the primary binding site for pregabalin and the related gabapentin are 2- (type 1). 2- is an auxiliary protein associated with voltage-gated calcium channels, and the potent binding of pregabalin at the 2- site reduces calcium influx at nerve terminals resulting in reduction of the release of a number of neurochemicals, including glutamate, noradrenaline, and substance P, which may explain the analgesic, anticonvulsant, and anxiolytic-like activity of pregabalin in animal models. It has also been suggested that reducing neurotransmitter release from neurons in the spinal cord and brain may be clinically beneficial for fibromyalgia patients. Pregabalin has significant side effects, including weight gain, dizziness, somnolence, and peripheral edema. When taken with angiotensin-converting-enzyme (ACE) inhibitors it may cause angioedema. The recommended dose is 300–450 mg daily, but many patients respond to lower doses. A single low dose (50–75 mg) at bedtime is frequently employed initially.
Crofford et al.  demonstrated in a 6-month double-blind, placebo-controlled trial that patients treated with pregabalin had statistically significant delayed time to loss of therapeutic response (LTR) versus those receiving placebo. The trial included a 6-week open label (OL) pregabalin-treatment period followed by 26-weeks double-blind treatment with placebo or pregabalin. Adults with fibromyalgia and ≥40 mm score on 100 mm pain visual analog scale (VAS) were considered. During OL weeks 1–3 patients received escalating dosage of pregabalin to determine their optimal dosage. During OL weeks 4–6, patients received their pregabalin optimal fixed dosages (300, 450, and 600 mg/d). To be randomized, they must have had ≥50% decrease in pain VAS and a self-rating of “much” or “very much” improved on Patient Global Impression of Change (PGIC) at the end of OL. Crofford et al. defined the time to LTR as <30% reduction in pain or worsening of fibromyalgia. At the end of double-blind phase, 61% placebo patients met LTR criteria versus 32% pregabalin patients. Similarly, half of placebo patients showed worsening in the Overall Sleep Problem Index of the MOS-Sleep Scale by day 14 compared with by day 42 for pregabalin patients. Regarding adverse events (AE), more pregabalin than placebo patients discontinued the study during the double-blind phase. The most common AEs in the pregabalin treatment group were insomnia (6%), sinusitis, nausea, arthralgia, anxiety, and influenza (each 5%) and weight increased (4%).
Currently duloxetine (DLX), milnacipran (MLN), and pregabalin (PGB) are the only drugs that have been approved by the US Food and Drug Administration (FDA) for the treatment of fibromyalgia. A comparison of the efficacy and harms of these three drugs shows some differences: the NNTs for a 30% pain reduction (all dosages pooled together) were as follows: DLX 7.2 (95% CI 5.2, 11.4), MLN 19 (95% CI 7.4, 20.5), and PGB 8.6 (95% CI 6.4, 12.9). The NNTs for dropout due to lack of efficacy were as follows: DLX −16.5 (95% CI −43.7, −10.1), MLN −31.1 (95% CI −23.7, −16.7), and PGB −16.0 (95% CI −25.8, −11.6). The NNHs for a dropout due to side effects were as follows: DLX 14.9 (95% CI 9.1, 41.4), MLN 7.6 (95% CI 6.2, 9.9), and PGB 7.6 (95% CI 6.3, 9.4) .
The mechanisms of action of pregabalin, duloxetine, and milnacipran are thought to be related to proposed pathophysiologies of fibromyalgia. However, these therapeutic agents are still not effective for all fibromyalgia patients. A recent study by Katz et al. suggests that the diagnostic criteria for fibromyalgia may be partially responsible, as there is currently no gold standard for fibromyalgia diagnosis .
The family of tricyclic antidepressants (TCAs) are effective over the short term in the management of fibromyalgia, specifically the TCA amitriptyline and the biologically similar cyclobenzaprine. By inhibiting the reuptake of both serotonin and norepinephrine, tricyclic compounds enhance norepinephrine and serotonin neurotransmission in the descending inhibitory pain pathways, resulting in a reduction in pain. Four meta-analyses examined the efficacy of tricyclics in fibromyalgia management [113, 174–176]. These tricyclic studies primarily assessed amitriptyline or cyclobenzaprine in patients with fibromyalgia and tended to be small, short-term, single-center trials. The meta-analysis by Arnold and associates  examined 9 placebo-controlled trials of amitriptyline, dothiepin, cyclobenzaprine, clomipramine, and maprotiline. The largest improvement was associated with measures of sleep quality, with treatment effect sizes ranging from 0.10 to 1.19; the most modest improvements were found in measures of stiffness (effect size range, 0.30 to 0.77) and tenderness (effect size range, −0.34 to 0.73). The overall degree of efficacy was modest in most studies, with a median treatment effect size of 0.44 and weighted mean treatment effect size of 0.43. The NNT of amitriptyline is 3,54 (95% CI 2,74, 5,01). Although TCAs are moderately effective, the use of these compounds is limited by a relatively narrow therapeutic index and poor tolerability due to affinity at multiple receptor systems . Unlike newer dual reuptake inhibitors of serotonin and norepinephrine, TCAs possess significant affinity for histaminergic, cholinergic, and adrenergic receptor systems [177, 178], which contribute to their strong side effects such as sedation, dry mouth, and constipation at higher doses. Tolerability of tricyclic compounds can be improved by prescribing very low doses before bedtime and by very slowly escalating the dose. However, the dose should be kept as low as possible, and they should be used with caution in patients with cardiovascular, renal, or hepatic disease [178, 179].
4.2. Nonpharmacologic Treatments
The nonpharmacologic treatments most consistently linked to fibromyalgia improvements are aerobic exercise and strength training. Effective exercise focuses on stretching, with gradual progression to strengthening and reconditioning exercise [180, 181].
Two randomized controlled single blind trials indicate that Tai chi holds potential as a useful modality in the multidimensional treatment of fibromyalgia . Tai chi compared to wellness education and stretching improves symptoms, physical function, quality of sleep, self-efficacy, and functional mobility for people with fibromyalgia . Authors observed significant improvements in static balance, dynamic balance, and timed get-up-and-go. These consistent findings of improvement in objective measures of functional mobility carry important clinical implications, suggesting that Tai chi may help decrease risk for falls and minimize difficulties in performing essential daily physical activity tasks .
Both aquatic exercises and balneotherapy are regarded as nonpharmacological interventions for fibromyalgia. Aquatic exercises (water-based exercises, aquatic therapy, or hydrotherapy) are exercises that are performed in the water. The Chartered Society of Physiotherapists defined aquatic exercises as a therapy program using the properties of water, designed by a suitably qualified physiotherapist, to improve function, ideally in a purpose-built and suitably heated pool . It remains unclear whether aquatic exercises are more effective than other active interventions such as land-based exercises. Furthermore there is a lack of evidence for specific doses and timing of exercise programs because most RCTs and SRs did not provide enough information to address these issues. Often the intervention was rather poorly described in the original papers . The term balneotherapy (seated immersion or spatherapy) is classically used in (eastern) European countries for bathing in water without exercise. Often natural mineral or thermal waters are used for bathing, drinking, and inhalation. The mechanisms by which immersion in mineral or thermal water or the application of mud alleviates chronic pain and the symptoms of fibromyalgia are not completely known [187–189]. A distinction can be made between the non-specific (hydrotherapeutic in a broad sense) mechanisms of simple bathing in hot tap water and the specific (hydromineral and chemotherapeutic) mechanisms, which depend on the chemical and physical properties of the water used. Hot stimuli produce analgesia on nerve endings by increasing the pain threshold. It causes relief of muscle spasms through the fibers of muscle spindles and activates the descending pain inhibitory system. According to the “gate theory,” pain relief may be due to the temperature and hydrostatic pressure of water on the skin .
Spa therapy provokes a series of endocrine reactions, particularly in the release of adrenocorticotropic hormone (ACTH), cortisol, prolactin, and growth hormone (GH), although it does not alter the circadian rhythm of these hormones. A dysregulation of the hypothalamic-pituitary-adrenal (HPA) axis, marked by mild hypocortisolemia and glucocorticoid feedback resistance, has been demonstrated in fibromyalgia patients. These findings can explain the beneficial clinical effects of spa therapy in fibromyalgia. The systematic reviews on patients with fibromyalgia concluded, based on 4 RCTs, that there is moderate evidence in favor of the use of balneotherapy . Unfortunately, no meta-analysis was performed, no data were presented, and most studies showed major methodological flaws.
Psychological pain management skills have also been reported to be efficacious in patients with fibromyalgia. Cognitive-behavioral therapy (CBT) outperformed other psychological treatments in short-term fibromyalgia pain intensity reduction, reaching a medium effect size. Additionally, CBT and relaxation were significantly more effective than other psychological treatments in reducing sleep problems associated with fibromyalgia. The results indicate that all psychological treatments were equally effective in decreasing depression. For pain intensity and depression, the results also indicate that psychological treatments were more effective than control conditions, with small to medium effect sizes [192–194].
Although not included in the recent evidence-based guidelines, EULAR recommendations additionally support inclusion of warm-water therapy, based on consistently beneficial data reported in numerous studies. Long-term studies found that warm-water exercise for 8 months was cost effective, with improvements of 8% for pain and 20% for physical function in treated patients compared with controls [171, 195–197].
Over the last decade, it has been repeatedly shown that noninvasive repetitive transcranial magnetic stimulation (rTMS) of the primary motor cortex (M1) induces analgesic effects both in experimental pain [198–202] and in various chronic pain conditions [203, 204], probably by activating pain modulation systems. Recently it was demonstrated that 10 daily sessions of unilateral M1 stimulation decrease chronic widespread pain and improve health-related quality of life of patients with fibromyalgia . The analgesic effects of rTMS of the primary motor cortex can be maintained for up to 6 months in patients with chronic pain; the decrease in pain intensity was associated with a long-term improvement in other clinical features including fatigue, catastrophizing, and several items related to quality of life. Only a few studies in patients with neuropathic pain [205, 206] or fibromyalgia  have evaluated the effects of repeated daily stimulations over a period of 5–10 days and reported analgesic effects lasting for 2-3 weeks after the last stimulation. The mechanisms underlying motor cortex rTMS-induced analgesia remain unclear, but may be similar to that of chronic motor cortex stimulation through surgically implanted epidural electrodes, which is used to treat patients with refractory neuropathic pain [207–209]. Mhalla et al.  showed that active rTMS had a significant effect on average pain intensity over the course of the treatment, as shown by comparison with a sham stimulation treatment ). Pairwise comparisons showed that this effect was significant from day 5 onwards and was maintained until week 25, although the magnitude of the effect tended to decrease during the period of monthly stimulation, from week 16 to 25. Active stimulation significantly improved (); the Brief Pain Inventory (BPI) score reported a marked decrease in the interference of pain with “general activity,” “walking,” “relations with other people,” “enjoyment of life,” and “sleep.” In contrast, the active treatment did not significantly decrease the interference of pain on “work” and “mood.” In addition, active rTMS significantly decreased both the total score () of the Fibromyalgia Impact Questionnaire (FIQ) and the 3 subscores relating to fatigue (), stiffness ), and morning tiredness ().
Mean depression and anxiety scores (Hospital Anxiety and Depression Scale (HAD) and the 13-item short form of the Beck Depression Inventory (BDI)) were not significantly affected by active or sham stimulation. Catastrophizing score (PCS) was significantly lower () after active rTMS than after sham treatment. APR, AWMF and EULAR recommendations are summarized in Table 3.
Fibromyalgia is a complex syndrome that is often difficult to diagnose, particularly for physicians who do not usually deal with this disease. Pathogenesis is still not fully clear, but modern functional neuroimaging techniques are giving us important data about the CNS involvement. Fibromyalgia is not to be considered a diagnosis of exclusion: the recently published ACR 2010 criteria try to help us not to be confused by all the differential diagnoses for fibromyalgia. A multidisciplinary approach is optimal and the physician must take into consideration both drugs (in particular antidepressants and neuromodulating antiepileptics) and nonpharmacological treatment, such as aerobic exercise and strength training, aquatic exercises and balneotherapy, cognitive-behavioral therapy, and also the emerging brain stimulation techniques.
- S. M. Bigatti, A. M. Hernandez, T. A. Cronan, and K. L. Rand, “Sleep disturbances in fibromyalgia syndrome: relationship to pain and depression,” Arthritis Care and Research, vol. 59, no. 7, pp. 961–967, 2008.
- D. J. Clauw, “Fibromyalgia: an overview,” American Journal of Medicine, vol. 122, no. 12, supplement, pp. S3–S13, 2009.
- T. Giesecke, D. A. Williams, R. E. Harris et al., “Subgrouping of fibromyalgia patients on the basis of pressure-pain thresholds and psychological factors,” Arthritis and Rheumatism, vol. 48, no. 10, pp. 2916–2922, 2003.
- P. Mease, “Fibromyalgia syndrome: review of clinical presentation, pathogenesis, outcome measures, and treatment,” Journal of Rheumatology, vol. 75, no. 6, p. 21, 2005.
- W. R. Gowers, “A lecture on lumbago: its lessons and analogues: delivered at the national hospital for the paralysed and epileptic,” British Medical Journal, vol. 1, pp. 117–121, 1904.
- W. Graham, “The fibrosits syndrome,” Bulletin on the Rheumatic Diseases, vol. 3, no. 8, pp. 33–34, 1953.
- H. A. Smythe and H. Moldofsky, “Two contributions to understanding of the “fibrositis” syndrome,” Bulletin on the Rheumatic Diseases, vol. 28, no. 1, pp. 928–931, 1977.
- F. Wolfe, H. A. Smythe, M. B. Yunus et al., “The American College of Rheumatology 1990. Criteria for the classification of fibromyalgia. Report of the Multicenter Criteria Committee,” Arthritis and Rheumatism, vol. 33, no. 2, pp. 160–172, 1990.
- F. Wolfe, “New American College of Rheumatology criteria for fibromyalgia: a twenty-year journey,” Arthritis Care and Research, vol. 62, no. 5, pp. 583–584, 2010.
- F. Wolfe, D. J. Clauw, M. A. Fitzcharles et al., “The American College of Rheumatology preliminary diagnostic criteria for fibromyalgia and measurement of symptom severity,” Arthritis Care and Research, vol. 62, no. 5, pp. 600–610, 2010.
- F. Wolfe, K. Ross, J. Anderson, I. J. Russell, and L. Hebert, “The prevalence and characteristics of fibromyalgia in the general population,” Arthritis and Rheumatism, vol. 38, no. 1, pp. 19–28, 1995.
- L. Lindell, S. Bergman, I. F. Petersson, L. T. H. Jacobsson, and P. Herrstrom, “Prevalence of fibromyalgia and chronic widespread pain,” Scandinavian Journal of Primary Health Care, vol. 18, no. 3, pp. 149–153, 2000.
- M. B. Yunus, “Towards a model of pathophysiology of fibromyalgia: aberrant central pain mechanisms with peripheral modulation,” Journal of Rheumatology, vol. 19, no. 6, pp. 846–850, 1992.
- R. Staud and M. L. Smitherman, “Peripheral and central sensitization in fibromyalgia: pathogenetic role,” Current Pain and Headache Reports, vol. 6, no. 4, pp. 259–266, 2002.
- J. Li, D. A. Simone, and A. A. Larson, “Windup leads to characteristics of central sensitization,” Pain, vol. 79, no. 1, pp. 75–82, 1999.
- L. M. Mendell and P. D. Wall, “Responses of single dorsal cord cells to peripheral cutaneous unmyelinated fibres,” Nature, vol. 206, no. 4979, pp. 97–99, 1965.
- R. Staud, C. J. Vierck, R. L. Cannon, A. P. Mauderli, and D. D. Price, “Abnormal sensitization and temporal summation of second pain (wind-up) in patients with fibromyalgia syndrome,” Pain, vol. 91, no. 1-2, pp. 165–175, 2001.
- R. Staud and M. Domingo, “Evidence for abnormal pain processing in fibromyalgia syndrome,” Pain Medicine, vol. 2, no. 3, pp. 208–215, 2001.
- S. N. Davies and D. Lodge, “Evidence for involvement of N-methylaspartate receptors in “wind-up” of class 2 neurones in the dorsal horn of the rat,” Brain Research, vol. 424, no. 2, pp. 402–406, 1987.
- A. H. Dickenson and A. F. Sullivan, “Evidence for a role of the NMDA receptor in the frequency dependent potentiation of deep rat dorsal horn nociceptive neurones following C fibre stimulation,” Neuropharmacology, vol. 26, no. 8, pp. 1235–1238, 1987.
- A. H. Dickenson, “A cure for wind up: NMDA receptor antagonists as potential analgesics,” Trends in Pharmacological Sciences, vol. 11, no. 8, pp. 307–309, 1990.
- R. Staud, R. C. Cannon, A. P. Mauderli, M. E. Robinson, D. D. Price, and C. J. Vierck, “Temporal summation of pain from mechanical stimulation of muscle tissue in normal controls and subjects with fibromyalgia syndrome,” Pain, vol. 102, no. 1-2, pp. 87–95, 2003.
- E. Kosek and P. Hansson, “Modulatory influence on somatosensory perception from vibration and heterotopic noxious conditioning stimulation (HNCS) in fibromyalgia patients and healthy subjects,” Pain, vol. 70, no. 1, pp. 41–51, 1997.
- L. R. Watkins, E. D. Milligan, and S. F. Maier, “Spinal cord glia: new players in pain,” Pain, vol. 93, no. 3, pp. 201–205, 2001.
- L. R. Watkins, E. D. Milligan, and S. F. Maier, “Glial activation: a driving force for pathological pain,” Trends in Neurosciences, vol. 24, no. 8, pp. 450–455, 2001.
- L. R. Watkins and S. F. Maier, “Immune regulation of central nervous system functions: from sickness responses to pathological pain,” Journal of Internal Medicine, vol. 257, no. 2, pp. 139–155, 2005.
- R. Dubner and K. M. Hargreaves, “The neurobiology of pain and its modulation,” Clinical Journal of Pain, vol. 5, supplement 2, pp. S1–S4, 1989.
- F. Wolfe, I. J. Russell, G. Vipraio, K. Ross, and J. Anderson, “Serotonin levels, pain threshold, and fibromyalgia symptoms in the general population,” Journal of Rheumatology, vol. 24, no. 3, pp. 555–559, 1997.
- M. B. Yunus, J. W. Dailey, J. C. Aldag, A. T. Masi, and P. C. Jobe, “Plasma tryptophan and other amino acids in primary fibromyalgia: a controlled study,” Journal of Rheumatology, vol. 19, no. 1, pp. 90–94, 1992.
- P. Hrycaj, T. Stratz, W. Muller, I. J. Russell, G. A. Vipraio, and Y. Lopez, “Platelet 3H-imipramine uptake receptor density and serum serotonin levels in patients with fibromyalgia/fibrositis syndrome,” Journal of Rheumatology, vol. 20, no. 11, pp. 1986–1988, 1993.
- E. Houvenagel, G. Forzy, O. Leloire et al., “Spinal fluid monoamines in primary fibromyalgia,” Revue du Rhumatisme et des Maladies Osteo-Articulaires, vol. 57, no. 1, pp. 21–23, 1990.
- I. J. Russell, H. Vaeroy, M. Javors, and F. Nyberg, “Cerebrospinal fluid biogenic amine metabolites in fibromyalgia/fibrositis syndrome and rheumatoid arthritis,” Arthritis and Rheumatism, vol. 35, no. 5, pp. 550–556, 1992.
- K. J. Ressler and C. B. Nemeroff, “Role of serotonergic and noradrenergic systems in the pathophysiology of depression and anxiety disorders,” Depression and Anxiety, vol. 121, supplement, pp. 2–19, 2000.
- J. H. Juhl, “Fibromyalgia and the serotonin pathway,” Alternative Medicine Review, vol. 3, no. 5, pp. 367–375, 1998.
- P. B. Wood, “Stress and dopamine: implications for the pathophysiology of chronic widespread pain,” Medical Hypotheses, vol. 62, no. 3, pp. 420–424, 2004.
- E. A. Malt, S. Olafsson, A. Aakvaag, A. Lund, and H. Ursin, “Altered dopamine D2 receptor function in fibromyalgia patients: a neuroendocrine study with buspirone in women with fibromyalgia compared to female population based controls,” Journal of Affective Disorders, vol. 75, no. 1, pp. 77–82, 2003.
- I. J. Russell, M. D. Orr, B. Littman et al., “Elevated cerebrospinal fluid levels of substance P in patients with the fibromyalgia syndrome,” Arthritis and Rheumatism, vol. 37, no. 11, pp. 1593–1601, 1994.
- S. R. Pillemer, L. A. Bradley, L. J. Crofford, H. Moldofsky, and G. P. Chrousos, “The neuroscience and endocrinology of fibromyalgia,” Arthritis and Rheumatism, vol. 40, no. 11, pp. 1928–1939, 1997.
- H. Vaeroy, R. Helle, O. Forre, E. Kass, and L. Terenius, “Elevated CSF levels of substance P and high incidence of Raynaud phenomenon in patients with fibromalgia: new features for diagnosis,” Pain, vol. 32, no. 1, pp. 21–26, 1988.
- R. E. Harris, D. J. Clauw, D. J. Scott, S. A. McLean, R. H. Gracely, and J. K. Zubieta, “Decreased central μ-opioid receptor availability in fibromyalgia,” Journal of Neuroscience, vol. 27, no. 37, pp. 10000–10006, 2007.
- J. N. Baraniuk, G. Whalen, J. Cunningham, and D. J. Clauw, “Cerebrospinal fluid levels of opioid peptides in fibromyalgia and chronic low back pain,” BMC Musculoskeletal Disorders, vol. 5, article 48, 2004.
- S. Stisi, M. Cazzola, D. Buskila et al., “Etiopathogenetic mechanisms of fibromyalgia syndrome,” Reumatismo, vol. 60, supplement 1, pp. 25–35, 2008.
- J. M. Mountz, L. A. Bradley, J. G. Modell et al., “Fibromyalgia in women: abnormalities of regional cerebral blood flow in the thalamus and the caudate nucleus are associated with low pain threshold levels,” Arthritis and Rheumatism, vol. 38, no. 7, pp. 926–938, 1995.
- O. Adigüzel, E. Kaptanoglu, B. Turgut, and V. Nacitarhan, “The possible effect of clinical recovery on regional cerebral blood flow deficits in fibromyalgia: a prospective study with semiquantitative SPECT,” Southern Medical Journal, vol. 97, no. 7, pp. 651–655, 2004.
- R. Kwiatek, L. Barnden, R. Tedman, et al., “Regional cerebral blood flow in fibromyalgia: single-photon-emission computed tomography evidence of reduction in the pontine tegmentum and thalami,” Arthritis & Rheumatism, vol. 43, pp. 2823–2833, 2000.
- L. A. Bradley, A. Sotolongo, K. R. Alberts et al., “Abnormal regional cerebral blood flow in the caudate nucleus among fibromyalgia patients and non-patients is associated with insidious symptom onset,” Journal of Musculoskeletal Pain, vol. 7, no. 1-2, pp. 285–292, 1999.
- G. Wik, H. Fischer, B. Bragée, M. Kristianson, and M. Fredrikson, “Retrosplenial cortical activation in the fibromyalgia syndrome,” NeuroReport, vol. 14, no. 4, pp. 619–621, 2003.
- M. B. Yunus, C. S. Young, S. A. Saeed, J. M. Mountz, and J. C. Aldag, “Positron emission tomography in patients with fibromyalgia syndrome and healthy controls,” Arthritis Care and Research, vol. 51, no. 4, pp. 513–518, 2004.
- B. Walitt, T. Roebuck-Spencer, G. Esposito et al., “The effects of multidisciplinary therapy on positron emission tomography of the brain in fibromyalgia: a pilot study,” Rheumatology International, vol. 27, no. 11, pp. 1019–1024, 2007.
- R. H. Gracely, F. Petzke, J. M. Wolf, and D. J. Clauw, “Functional magnetic resonance imaging evidence of augmented pain processing in fibromyalgia,” Arthritis and Rheumatism, vol. 46, no. 5, pp. 1333–1343, 2002.
- D. B. Cook, G. Lange, D. S. Ciccone, W. C. Liu, J. Steffener, and B. H. Natelson, “Functional imaging of pain in patients with primary fibromyalgia,” Journal of Rheumatology, vol. 31, no. 2, pp. 364–378, 2004.
- J. M. Glass, D. A. Williams, M. L. Fernandez-Sanchez, et al., “Executive function in chronic pain patients and healthy controls: different cortical activation during response inhibition in fibromyalgia,” Journal of Pain, vol. 12, pp. 1219–1229, 2011.
- S. H. Kim, Y. Chang, J. H. Kim, et al., “Insular cortex is a trait marker for pain processing in fibromyalgia syndrome—blood oxygenation level-dependent functional magnetic resonance imaging study in Korea,” Clinical and Experimental Rheumatology, vol. 29, no. 6, supplement 69, pp. S19–S27, 2011.
- B. R. Foerster, M. Petrou, R. E. Harris, et al., “Cerebral blood flow alterations in pain-processing regions of patients with fibromyalgia using perfusion MR imaging,” American Journal of Neuroradiology, vol. 32, pp. 1873–1878, 2011.
- S. M. Skevington, “A standardized scale to measure beliefs about controlling pain (B.P.C.Q.): a preliminary study,” Psychology and Health, vol. 4, pp. 221–232, 1990.
- K. B. Jensen, E. Kosek, F. Petzke et al., “Evidence of dysfunctional pain inhibition in Fibromyalgia reflected in rACC during provoked pain,” Pain, vol. 144, no. 1-2, pp. 95–100, 2009.
- K. B. Jensen, R. Loitoile, E. Kosek, et al., “Patients with fibromyalgia display less functional connectivity in the brain's pain inhibitory network,” Molecular Pain, vol. 8, article 32, 2012.
- M. Burgmer, M. Gaubitz, C. Konrad et al., “Decreased gray matter volumes in the cingulo-frontal cortex and the amygdala in patients with fibromyalgia,” Psychosomatic Medicine, vol. 71, no. 5, pp. 566–573, 2009.
- M. Valet, H. Gündel, T. Sprenger et al., “Patients with pain disorder show gray-matter loss in pain-processing structures: a voxel-based morphometric study,” Psychosomatic Medicine, vol. 71, no. 1, pp. 49–56, 2009.
- J. Lutz, L. Jäger, D. De Quervain et al., “White and gray matter abnormalities in the brain of patients with fibromyalgia: a diffusion-tensor and volumetric imaging study,” Arthritis and Rheumatism, vol. 58, no. 12, pp. 3960–3969, 2008.
- T. Schmidt-Wilcke, R. Luerding, T. Weigand et al., “Striatal grey matter increase in patients suffering from fibromyalgia—a voxel-based morphometry study,” Pain, vol. 132, supplement 1, pp. S109–S116, 2007.
- P. C. Sundgren, M. Petrou, R. E. Harris et al., “Diffusion-weighted and diffusion tensor imaging in fibromyalgia patients: a prospective study of whole brain diffusivity, apparent diffusion coefficient, and fraction anisotropy in different regions of the brain and correlation with symptom severity,” Academic Radiology, vol. 14, no. 7, pp. 839–846, 2007.
- R. E. Harris, P. C. Sundgren, Y. Pang et al., “Dynamic levels of glutamate within the insula are associated with improvements in multiple pain domains in fibromyalgia,” Arthritis and Rheumatism, vol. 58, no. 3, pp. 903–907, 2008.
- R. E. Harris, P. C. Sundgren, A. D. Craig et al., “Elevated insular glutamate in fibromyalgia is associated with experimental pain,” Arthritis and Rheumatism, vol. 60, no. 10, pp. 3146–3152, 2009.
- N. Fayed, J. Garcia-Campayo, R. Magallón et al., “Localized 1H-NMR spectroscopy in patients with fibromyalgia: a controlled study of changes in cerebral glutamate/glutamine, inositol, choline, and N-acetylaspartate,” Arthritis Research and Therapy, vol. 12, no. 4, article R134, 2010.
- D. G. Owen, Y. Bureau, A. W. Thomas, F. S. Prato, and K. S. S. Lawrence, “Quantification of pain-induced changes in cerebral blood flow by perfusion MRI,” Pain, vol. 136, no. 1-2, pp. 85–96, 2008.
- M. B. Nebel and R. H. Gracely, “Neuroimaging of Fibromyalgia,” Rheumatic Disease Clinics of North America, vol. 35, no. 2, pp. 313–327, 2009.
- L. J. Crofford, “The hypothalamic-pituitary-adrenal axis in the pathogenesis of rheumatic diseases,” Endocrinology and Metabolism Clinics of North America, vol. 31, no. 1, pp. 1–13, 2002.
- G. Ferraccioli, F. Cavalieri, F. Salaffi et al., “Neuroendocrinologic findings in primary fibromyalgia (soft tissue chronic pain syndrome) and in other chronic rheumatic conditions (rheumatoid arthritis, low back pain),” Journal of Rheumatology, vol. 17, no. 7, pp. 869–873, 1990.
- G. A. McCain and K. S. Tilbe, “Diurnal hormone variation in fibromyalgia syndrome: a comparison with rheumatoid arthritis,” Journal of Rheumatology, vol. 16, no. 19, pp. 154–157, 1989.
- G. Neeck, “Neuroendocrine and hormonal perturbations and relations to the serotonergic system in fibromyalgia patients,” Scandinavian Journal of Rheumatology, Supplement, vol. 29, no. 113, pp. 8–12, 2000.
- R. Geenen, J. W. G. Jacobs, and J. W. J. Bijlsma, “Evaluation and management of endocrine dysfunction in fibromyalgia,” Rheumatic Disease Clinics of North America, vol. 28, no. 2, pp. 389–404, 2002.
- E. N. Griep, J. W. Boersma, and E. R. de Kloet, “Altered reactivity of the hypothalamic-pituitary-adrenal axis in the primary fibromyalgia syndrome,” Journal of Rheumatology, vol. 20, no. 3, pp. 469–474, 1993.
- K. D. Jones, P. Deodhar, A. Lorentzen, R. M. Bennett, and A. A. Deodhar, “Growth hormone perturbations in Fibromyalgia: a review,” Seminars in Arthritis and Rheumatism, vol. 36, no. 6, pp. 357–379, 2007.
- R. L. Garrison and P. C. Breeding, “A metabolic basis for fibromyalgia and its related disorders: the possible role of resistance to thyroid hormone,” Medical Hypotheses, vol. 61, no. 2, pp. 182–189, 2003.
- A. Korszun, E. A. Young, N. C. Engleberg et al., “Follicular phase hypothalamic-pituitary-gonadal axis function in women with fibromyalgia and chronic fatigue syndrome,” Journal of Rheumatology, vol. 27, no. 6, pp. 1526–1530, 2000.
- W. Samborski, M. Sobieska, P. Pieta, K. Drews, and M. Brzosko, “Normal profile of sex hormones in women with primary fibromyalgia,” Annales Academiae Medicae Stetinensis, vol. 51, no. 2, pp. 23–26, 2005.
- A. El Maghraoui, S. Tellal, L. Achemlal et al., “Bone turnover and hormonal perturbations in patients with fibromyalgia,” Clinical and Experimental Rheumatology, vol. 24, no. 4, pp. 428–431, 2006.
- H. Cohen, L. Neumann, M. Kotler, and D. Buskila, “Autonomic nervous system derangement in fibromyalgia syndrome and related disorders,” Israel Medical Association Journal, vol. 3, no. 10, pp. 755–760, 2001.
- M. Kooh, M. Martínez-Lavín, S. Meza et al., “Simultaneous heart rate variability and polysomnographic analyses in fibromyalgia,” Clinical and Experimental Rheumatology, vol. 21, no. 4, pp. 529–530, 2003.
- R. Furlan, S. Colombo, F. Perego et al., “Abnormalities of cardiovascular neural control and reduced orthostatic tolerance in patients with primary fibromyalgia,” Journal of Rheumatology, vol. 32, no. 9, pp. 1787–1793, 2005.
- U. M. Anderberg, Z. Liu, L. Berglund, and F. Nyberg, “Elevated plasma levels of neuropeptide Y in female fibromyalgia patients,” European Journal of Pain, vol. 3, no. 1, pp. 19–30, 1999.
- S. Roizenblatt, H. Moldofsky, A. A. Benedito-Silva, and S. Tufik, “Alpha sleep characteristics in fibromyalgia,” Arthritis & Rheumatism, vol. 44, pp. 222–230, 2001.
- E. Van Cauter, L. Plat, and G. Copinschi, “Interrelations between sleep and the somatotropic axis,” Sleep, vol. 21, no. 6, pp. 553–566, 1998.
- P. N. Prinz, K. E. Moe, E. M. Dulberg et al., “Higher plasma IGF-1 levels are associated with increased delta sleep in healthy older men,” Journals of Gerontology A, vol. 50, no. 4, pp. M222–M226, 1995.
- R. M. Bennett, S. R. Clark, S. M. Campbell, and C. S. Burckhardt, “Low levels of somatomedin C in patients with the fibromyalgia syndrome: a possible link between sleep and muscle pain,” Arthritis and Rheumatism, vol. 35, no. 10, pp. 1113–1116, 1992.
- D. Buskila, L. Neumann, I. Hazanov, and R. Carmi, “Familial aggregation in the fibromyalgia syndrome,” Seminars in Arthritis and Rheumatism, vol. 26, no. 3, pp. 605–611, 1996.
- L. M. Arnold, J. I. Hudson, E. V. Hess et al., “Family study of fibromyalgia,” Arthritis and Rheumatism, vol. 50, no. 3, pp. 944–952, 2004.
- D. Buskila, P. Sarzi-Puttini, and J. N. Ablin, “The genetics of fibromyalgia syndrome,” Pharmacogenomics, vol. 8, no. 1, pp. 67–74, 2007.
- M. Offenbaecher, B. Bondy, S. de Jonge et al., “Possible association of fibromyalgia with a polymorphism in the serotonin transporter gene regulatory region,” Arthritis & Rheumatism, vol. 42, pp. 2482–2488, 1999.
- H. Cohen, D. Buskila, L. Neumann, and R. P. Ebstein, “Confirmation of an association between fibromyalgia and serotonin transporter promoter region (5-HTTLPR) polymorphism, and relationship to anxiety-related personality traits,” Arthritis and Rheumatism, vol. 46, no. 3, pp. 845–847, 2002.
- J. K. Zubieta, M. M. Heitzeg, Y. R. Smith et al., “COMT val158 genotype affects μ-opioid neurotransmitter responses to a pain stressor,” Science, vol. 299, no. 5610, pp. 1240–1243, 2003.
- S. Gürsoy, E. Erdal, H. Herken, E. Madenci, B. Alaşehirli, and N. Erdal, “Significance of catechol-O-methyltransferase gene polymorphism in fibromyalgia syndrome,” Rheumatology International, vol. 23, no. 3, pp. 104–107, 2003.
- D. Buskila, H. Cohen, L. Neuman, and R. P. Ebstein, “An association between fibromyalgia and the dopamine D4 receptor exon III repeat polymorphism and relationship to novelty seeking personality traits,” Molecular Psychiatry, vol. 9, no. 8, pp. 730–727, 2004.
- M. B. Yunus, M. A. Khan, K. K. Rawlings, J. R. Green, J. M. Olson, and S. Shah, “Genetic linkage analysis of multicase families with fibromyalgia syndrome,” Journal of Rheumatology, vol. 26, no. 2, pp. 408–412, 1999.
- G. D. Middleton, J. E. McFarlin, and P. E. Lipsky, “The prevalence and clinical impact of fibromyalgia in systemic lupus erythematosus,” Arthritis and Rheumatism, vol. 37, no. 8, pp. 1181–1188, 1994.
- M. Tishler, Y. Barak, D. Paran, and M. Yaron, “Sleep disturbances, fibromyalgia and primary Sjogren's syndrome,” Clinical and Experimental Rheumatology, vol. 15, no. 1, pp. 71–74, 1997.
- F. Wolfe and K. Michaud, “Severe rheumatoid arthritis (RA), worse outcomes, comorbid illness, and sociodemographic disadvantage characterize RA patients with fibromyalgia,” Journal of Rheumatology, vol. 31, no. 4, pp. 695–700, 2004.
- I. Kötter, D. Neuscheler, I. Günaydin, D. Wernet, and R. Klein, “Is there a predisposition for the development of autoimmune diseases in patients with fibromyalgia? Retrospective analysis with long term follow-up,” Rheumatology International, vol. 27, no. 11, pp. 1031–1039, 2007.
- L. S. Ribeiro and F. A. Proietti, “Interrelations between fibromyalgia, thyroid autoantibodies, and depression,” Journal of Rheumatology, vol. 31, no. 10, pp. 2036–2040, 2004.
- O. N. Pamuk and N. Cakir, “The frequency of thyroid antibodies in fibromyalgia patients and their relationship with symptoms,” Clinical Rheumatology, vol. 26, no. 1, pp. 55–59, 2007.
- L. Bazzichi, A. Rossi, T. Giuliano et al., “Association between thyroid autoimmunity and fibromyalgic disease severity,” Clinical Rheumatology, vol. 26, no. 12, pp. 2115–2120, 2007.
- R. B. Wilson, O. S. Gluck, J. R. P. Tesser, J. C. Rice, A. Meyer, and A. J. Bridges, “Antipolymer antibody reactivity in a subset of patients with fibromyalgia correlates with severity,” Journal of Rheumatology, vol. 26, no. 2, pp. 402–407, 1999.
- B. Jensen, I. H. Wittrup, A. Wiik et al., “Antipolymer antibodies in Danish fibromyalgia patients,” Clinical and Experimental Rheumatology, vol. 22, no. 2, pp. 227–229, 2004.
- P. Sarzi-Puttini, F. Atzeni, M. D. Franco et al., “Anti-polymer antibodies are correlated with pain and fatigue severity in patients with fibromyalgia syndrome,” Autoimmunity, vol. 41, no. 1, pp. 74–79, 2008.
- W. Katon, M. Sullivan, and E. Walker, “Medical symptoms without identified pathology: relationship to psychiatric disorders, childhood and adult trauma, and personality traits,” Annals of Internal Medicine, vol. 134, no. 9, pp. 917–925, 2001.
- D. J. Clauw and L. J. Crofford, “Chronic widespread pain and fibromyalgia: what we know, and what we need to know,” Best Practice and Research, vol. 17, no. 4, pp. 685–701, 2003.
- J. McBeth, G. J. Macfarlane, S. Benjamin, and A. J. Silman, “Features of somatization predict the onset of chronic widespread pain: results of a large population-based study,” Arthritis & Rheumatism, vol. 44, pp. 940–946, 2001.
- H. Cohen, L. Neumann, Y. Haiman, M. A. Matar, J. Press, and D. Buskila, “Prevalence of post-traumatic stress disorder in fibromyalgia patients: overlapping syndromes or post-traumatic fibromyalgia syndrome?” Seminars in Arthritis and Rheumatism, vol. 32, no. 1, pp. 38–50, 2002.
- S. A. Epstein, G. Kay, D. Clauw et al., “Psychiatric disorders in patients with fibromyalgia: a multicenter investigation,” Psychosomatics, vol. 40, no. 1, pp. 57–63, 1999.
- J. McBeth and A. J. Silman, “The role of psychiatric disorders in fibromyalgia,” Current Rheumatology Reports, vol. 3, no. 2, pp. 157–164, 2001.
- M. J. Bair, R. L. Robinson, W. Katon, and K. Kroenke, “Depression and pain comorbidity: a literature review,” Archives of Internal Medicine, vol. 163, no. 20, pp. 2433–2445, 2003.
- L. M. Arnold, P. E. Keck, and J. A. Welge, “Antidepressant treatment of fibromyalgia. A meta-analysis and review,” Psychosomatics, vol. 41, no. 2, pp. 104–113, 2000.
- J. Nørregaard, H. Volkmann, and B. Danneskiold-Samsøe, “A randomized controlled trial of citalopram in the treatment of fibromyalgia,” Pain, vol. 61, no. 3, pp. 445–449, 1995.
- D. Fishbain, “Evidence-based data on pain relief with antidepressants,” Annals of Medicine, vol. 32, no. 5, pp. 305–316, 2000.
- D. L. Katz, L. Greene, A. Ali, and Z. Faridi, “The pain of fibromyalgia syndrome is due to muscle hypoperfusion induced by regional vasomotor dysregulation,” Medical Hypotheses, vol. 69, no. 3, pp. 517–525, 2007.
- S. Ozgocmen, H. Ozyurt, S. Sogut, O. Akyol, O. Ardicoglu, and H. Yildizhan, “Antioxidant status, lipid peroxidation and nitric oxide in fibromyalgia: etiologic and therapeutic concerns,” Rheumatology International, vol. 26, no. 7, pp. 598–603, 2006.
- B. A. Lario, J. L. Alonso Valdivielso, J. A. López, C. M. Soteres, J. L. Viejo Bañuelos, and A. M. Cabello, “Fibromyalgia syndrome: overnight falls in arterial oxygen saturation,” American Journal of Medicine, vol. 101, no. 1, pp. 54–60, 1996.
- R. Staud, “Biology and therapy of fibromyalgia: pain in fibromyalgia syndrome,” Arthritis Research and Therapy, vol. 8, no. 3, article 208, 2006.
- J. N. Ablin, Y. Shoenfeld, and D. Buskila, “Fibromyalgia, infection and vaccination: two more parts in the etiological puzzle,” Journal of Autoimmunity, vol. 27, no. 3, pp. 145–152, 2006.
- J. Rivera, A. de Diego, M. Trinchet, and A. García Monforte, “Fibromyalgia-associated hepatitis C virus infection,” British Journal of Rheumatology, vol. 36, no. 9, pp. 981–985, 1997.
- P. Nash, M. Chard, and B. Hazleman, “Chronic Coxsackie B infection mimicking primary fibromyalgia,” Journal of Rheumatology, vol. 16, no. 11, pp. 1506–1508, 1989.
- L. J. Leventhal, S. J. Naides, and B. Freundlich, “Fibromyalgia and parvovirus infection,” Arthritis and Rheumatism, vol. 34, no. 10, pp. 1319–1324, 1991.
- D. Buskila, D. D. Gladman, P. Langevitz, S. Urowitz, and H. A. Smythe, “Fibromyalgia in human immunodeficiency virus infection,” Journal of Rheumatology, vol. 17, no. 9, pp. 1202–1206, 1990.
- H. Dinerman and A. C. Steerc, “Lyme disease associated with fibromyalgia,” Annals of Internal Medicine, vol. 117, no. 4, pp. 281–285, 1992.
- V. M. Hsu, S. J. Patella, and L. H. Sigal, “‘Chronic Lyme disease’ as the incorrect diagnosis in patients with fibromyalgia,” Arthritis and Rheumatism, vol. 36, no. 11, pp. 1493–1500, 1993.
- E. D. Milligan, K. A. O'Connor, K. T. Nguyen et al., “Intrathecal HIV-1 envelope glycoprotein gp120 induces enhanced pain states mediated by spinal cord proinflammatory cytokines,” Journal of Neuroscience, vol. 21, no. 8, pp. 2808–2819, 2001.
- A. Holguin, K. A. O'Connor, J. Biedenkapp et al., “HIV-1 gp120 stimulates proinflammatory cytokine-mediated pain facilitation via activation of nitric oxide synthase-I (nNOS),” Pain, vol. 110, no. 3, pp. 517–530, 2004.
- M. E. Thompson and A. Barkhuizen, “Fibromyalgia, hepatitis C infection, and the cytokine connection,” Current Pain and Headache Reports, vol. 7, no. 5, pp. 342–347, 2003.
- D. Gabuzda and J. Wang, “Chemokine receptors and virus entry in the central nervous system,” Journal of NeuroVirology, vol. 5, no. 6, pp. 643–658, 1999.
- R. B. Rock, G. Gekker, S. Hu et al., “Role of microglia in central nervous system infections,” Clinical Microbiology Reviews, vol. 17, no. 4, pp. 942–964, 2004.
- G. W. Waylonis and R. H. Perkins, “Post-traumatic fibromyalgia: a long-term follow-up,” American Journal of Physical Medicine and Rehabilitation, vol. 73, no. 6, pp. 403–412, 1994.
- I. R. Bell, C. M. Baldwin, and G. E. Schwartz, “Illness from low levels of environmental chemicals: relevance to chronic fatigue syndrome and fibromyalgia,” American Journal of Medicine, vol. 105, no. 3, pp. 74S–82S, 1998.
- S. Greenfield, M. A. Fitzcharles, and J. M. Esdaile, “Reactive fibromyalgia syndrome,” Arthritis and Rheumatism, vol. 35, no. 6, pp. 678–681, 1992.
- J. Sim and S. Madden, “Illness experience in fibromyalgia syndrome: a metasynthesis of qualitative studies,” Social Science and Medicine, vol. 67, no. 1, pp. 57–67, 2008.
- M. J. Schneider, D. M. Brady, and S. M. Perle, “Commentary: differential diagnosis of fibromyalgia syndrome: proposal of a model and algorithm for patients presenting with the primary symptom of chronic widespread pain,” Journal of Manipulative and Physiological Therapeutics, vol. 29, no. 6, pp. 493–501, 2006.
- L. A. Aaron, M. M. Burke, and D. Buchwald, “Overlapping conditions among patients with chronic fatigue syndrome, fibromyalgia, and temporomandibular disorder,” Archives of Internal Medicine, vol. 160, no. 2, pp. 221–227, 2000.
- L. A. Aaron and D. Buchwald, “A review of the evidence for overlap among unexplained clinical conditions,” Annals of Internal Medicine, vol. 134, no. 9, pp. 868–881, 2001.
- B. C. Gilliland, “Fibromyalgia, arthritis associated with systemic disease, and other arthritides,” in Harrison's Principles of Internal Medicine, D. L. Kasper and T. R. Harrison, Eds., vol. 2, pp. 2055–2064, McGraw-Hill, Medical Publication Division, New York, NY, USA, 16th edition, 2005.
- J. McBeth and M. R. Mulvey, “Fibromyalgia: mechanisms and potential impact of the ACR, 2010 classification criteria,” Nature Reviews Rheumatology, vol. 8, pp. 108–116, 2012.
- D. Buskila and L. Neumann, “Fibromyalgia syndrome (FM) and nonarticular tenderness in relatives of patients with FM,” Journal of Rheumatology, vol. 24, no. 5, pp. 941–944, 1997.
- M. A. Fitzcharles and P. Boulos, “Inaccuracy in the diagnosis of fibromyalgia syndrome: analysis of referrals,” Rheumatology, vol. 42, no. 2, pp. 263–267, 2003.
- E. H. Choy, L. M. Arnold, D. J. Clauw et al., “Content and criterion validity of the preliminary core dataset for clinical trials in fibromyalgia syndrome,” Journal of Rheumatology, vol. 36, no. 10, pp. 2330–2334, 2009.
- P. J. Mease, L. M. Arnold, R. Bennett et al., “Fibromyalgia syndrome,” Journal of Rheumatology, vol. 34, no. 6, pp. 1415–1425, 2007.
- P. J. Mease, D. J. Clauw, L. M. Arnold et al., “Fibromyalgia syndrome,” Journal of Rheumatology, vol. 32, no. 11, pp. 2270–2277, 2005.
- P. J. Mease, D. J. Clauw, R. M. Gendreau et al., “The efficacy and safety of milnacipran for treatment of fibromyalgia. A randomized, double-blind, placebo-controlled trial,” Journal of Rheumatology, vol. 36, no. 2, pp. 398–409, 2009.
- F. Wolfe and K. Michaud, “Outcome and predictor relationships in fibromyalgia and rheumatoid arthritis: evidence concerning the continuum versus discrete disorder hypothesis,” Journal of Rheumatology, vol. 36, no. 4, pp. 831–836, 2009.
- K. Toda, “Preliminary diagnostic criteria for fibromyalgia should be partially revised: comment on the article by Wolfe et al,” Arthritis Care and Research, vol. 63, no. 2, pp. 308–309, 2011.
- F. Wolfe, D. J. Clauw, M. A. Fitzcharles et al., “Fibromyalgia criteria and severity scales for clinical and epidemiological studies: a modification of the ACR preliminary diagnostic criteria for fibromyalgia,” Journal of Rheumatology, vol. 38, no. 6, pp. 1113–1122, 2011.
- R. M. Bennett, J. Jones, D. C. Turk, I. J. Russell, and L. Matallana, “An internet survey of 2,596 people with fibromyalgia,” BMC Musculoskeletal Disorders, vol. 8, article 27, 2007.
- L. M. Arnold, “Strategies for managing fibromyalgia,” American Journal of Medicine, vol. 122, supplement 12, pp. S31–S43, 2009.
- D. L. Goldenberg, “The interface of pain and mood disturbances in the rheumatic diseases,” Seminars in Arthritis and Rheumatism, vol. 40, no. 1, pp. 15–31, 2010.
- W. Häuser, K. Thieme, and D. C. Turk, “Guidelines on the management of fibromyalgia syndrome—a systematic review,” European Journal of Pain, vol. 14, no. 1, pp. 5–10, 2010.
- P. Mease, L. M. Arnold, E. H. Choy et al., “Fibromyalgia syndrome module at OMERACT 9: domain construct,” Journal of Rheumatology, vol. 36, no. 10, pp. 2318–2329, 2009.
- J. T. Farrar, J. P. Young, L. LaMoreaux, J. L. Werth, and R. M. Poole, “Clinical importance of changes in chronic pain intensity measured on an 11-point numerical pain rating scale,” Pain, vol. 94, no. 2, pp. 149–158, 2001.
- D. L. Goldenberg, C. Burckhardt, and L. Crofford, “Management of fibromyalgia syndrome,” Journal of the American Medical Association, vol. 292, no. 19, pp. 2388–2395, 2004.
- D. L. Goldenberg, D. T. Felson, and H. Dinerman, “A randomized, controlled trial of amitriptyline and naproxen in the treatment of patients with fibromyalgia,” Arthritis and Rheumatism, vol. 29, no. 11, pp. 1371–1377, 1986.
- F. Wolfe, S. Zhao, and N. Lane, “Preference for nonsteroidal antiinflammatory drugs over acetaminophen by rheumatic disease patients: a survey of 1, 799 patients with osteoarthritis, rheumatoid arthritis, and fibromyalgia,” Arthritis & Rheumatism, vol. 43, pp. 378–385, 2000.
- Goldenberg, D. L. Schaefer, C. Ryan, K. Chandran, and A. Zlateva Gergana, “What Is the true cost of fibromyalgia to our society: results from a cross-sectional survey in the United States,” Arthritis & Rheumatism, vol. 60, supplement 10, p. 104, 2009.
- S. F. Carville, S. Arendt-Nielsen, H. Bliddal et al., “EULAR evidence-based recommendations for the management of fibromyalgia syndrome,” Annals of the Rheumatic Diseases, vol. 67, no. 4, pp. 536–541, 2008.
- American Pain Society, “Guideline for the Management of Pain in Fibromyalgia, American Pain Society Clinical Practice Guidelines Program,” 2011, http://www.ampainsoc.org/.
- D. J. Clauw, “Pharmacotherapy for patients with fibromyalgia,” Journal of Clinical Psychiatry, vol. 69, supplement 2, pp. 25–29, 2008.
- G. Biasi, S. Manca, S. Manganelli, and R. Marcolongo, “Tramadol in the fibromyalgia syndrome: a controlled clinical trial versus placebo,” International Journal of Clinical Pharmacology Research, vol. 18, no. 1, pp. 13–19, 1998.
- R. M. Bennett, M. Kamin, R. Karim, and N. Rosenthal, “Tramadol and acetaminophen combination tablets in the treatment of fibromyalgia pain: a double-blind, randomized, placebo-controlled study,” American Journal of Medicine, vol. 114, no. 7, pp. 537–545, 2003.
- F. Llinares-Tello, S. Escrivá-Moscardó, F. Martínez-Pastor, and P. Martínez-Mascaraque, “Possible serotoninergia syndrome associated with coadministration of paroxetine tramadol,” Medicina Clinica, vol. 128, no. 11, p. 438, 2007.
- G. O. Littlejohn and E. K. Guymer, “Fibromyalgia syndrome: which antidepressant drug should we choose,” Current Pharmaceutical Design, vol. 12, no. 1, pp. 3–9, 2006.
- L. M. Arnold, “Duloxetine and other antidepressants in the treatment of patients with fibromyalgia,” Pain Medicine, vol. 8, supplement 2, pp. S63–S74, 2007.
- A. J. Holman, “Pragmatic consideration of recent randomized, placebo-controlled clinical trials for treatment of fibromyalgia,” Current Pain and Headache Reports, vol. 12, no. 6, pp. 393–398, 2008.
- D. G. S. Perahia, Y. L. Pritchett, D. Desaiah, and J. Raskin, “Efficacy of duloxetine in painful symptoms: an analgesic or antidepressant effect?” International Clinical Psychopharmacology, vol. 21, no. 6, pp. 311–317, 2006.
- J. E. Ware and C. D. Sherbourne, “The MOS 36-item short-form health survey (SF-36). I. Conceptual framework and item selection,” Medical Care, vol. 30, no. 6, pp. 473–483, 1992.
- L. J. Crofford, P. J. Mease, S. L. Simpson et al., “Fibromyalgia relapse evaluation and efficacy for durability of meaningful relief (FREEDOM): a 6-month, double-blind, placebo-controlled trial with pregabalin,” Pain, vol. 136, no. 3, pp. 419–431, 2008.
- W. Häuser, F. Petzke, and C. Sommer, “Comparative efficacy and harms of duloxetine, milnacipran, and pregabalin in fibromyalgia syndrome,” Journal of Pain, vol. 11, no. 6, pp. 505–521, 2010.
- R. S. Katz, F. Wolfe, and K. Michaud, “Fibromyalgia diagnosis: a comparison of clinical, survey, and American College of Rheumatology criteria,” Arthritis and Rheumatism, vol. 54, no. 1, pp. 169–176, 2006.
- P. G. O'Malley, E. Balden, G. Tomkins, J. Santoro, K. Kroenke, and J. L. Jackson, “Treatment of fibromyalgia with antidepressants: a meta-analysis,” Journal of General Internal Medicine, vol. 15, no. 9, pp. 659–666, 2000.
- J. K. Tofferi, J. L. Jackson, and P. G. O'Malley, “Treatment of fibromyalgia with cyclobenzaprine: a meta-analysis,” Arthritis Care and Research, vol. 51, no. 1, pp. 9–13, 2004.
- W. Häuser, K. Bernardy, N. Üçeyler, and C. Sommer, “Treatment of fibromyalgia syndrome with antidepressants: a meta-analysis,” Journal of the American Medical Association, vol. 301, no. 2, pp. 198–209, 2009.
- R. Staud, “Treatment of fibromyalgia and its symptoms,” Expert Opinion on Pharmacotherapy, vol. 8, no. 11, pp. 1629–1642, 2007.
- K. Beliles and A. Stoudemire, “Psychopharmacologic treatment of depression in the medically III,” Psychosomatics, vol. 39, no. 3, pp. S2–S19, 1998.
- D. L. Goldenberg, “Pharmacological treatment of fibromyalgia and other chronic musculoskeletal pain,” Best Practice and Research, vol. 21, no. 3, pp. 499–511, 2007.
- J. A. Hayden, M. W. Van Tulder, and G. Tomlinson, “Systematic review: strategies for using exercise therapy to improve outcomes in chronic low back pain,” Annals of Internal Medicine, vol. 142, no. 9, pp. 776–785, 2005.
- A. Häkkinen, H. Kautiainen, P. Hannonen, and J. Ylinen, “Strength training and stretching versus stretching only in the treatment of patients with chronic neck pain: a randomized one-year follow-up study,” Clinical Rehabilitation, vol. 22, no. 7, pp. 592–600, 2008.
- K. D. Jones, C. A. Sherman, S. D. Mist, J. W. Carson, R. M. Bennett, and F. Li, “A randomized controlled trial of 8-form Tai chi improves symptoms and functional mobility in fibromyalgia patients,” Clinical Rheumatology, vol. 31, no. 8, pp. 1205–1214, 2012.
- C. Wang, C. H. Schmid, R. Rones et al., “A randomized trial of tai chi for fibromyalgia,” The New England Journal of Medicine, vol. 363, no. 8, pp. 743–754, 2010.
- F. Li, P. Harmer, K. Fitzgerald et al., “Tai chi and postural stability in patients with Parkinson's disease,” The New England Journal of Medicine, vol. 366, pp. 511–519, 2012.
- Hydrotherapy Association of Chartered Physiotherapists, Guidance on good practice in hydrotherapy, Chartered Society of Physiotherapy, September 2006.
- A. P. Verhagen, J. R. Cardoso, and S. M. Bierma-Zeinstra, “Aquatic exercise & balneotherapy in musculoskeletal conditions,” Best Practice & Research Clinical Rheumatology, vol. 26, pp. 335–343, 2012.
- S. Sukenik, D. Flusser, and M. Abu-Shakra, “The role of Spa therapy in various rheumatic diseases,” Rheumatic Disease Clinics of North America, vol. 25, no. 4, pp. 883–897, 1999.
- T. Bender, Z. Karagülle, G. P. Bálint, C. Gutenbrunner, P. V. Bálint, and S. Sukenik, “Hydrotherapy, balneotherapy, and spa treatment in pain management,” Rheumatology International, vol. 25, no. 3, pp. 220–224, 2005.
- A. Fioravanti, L. Cantarini, G. M. Guidelli, and M. Galeazzi, “Mechanisms of action of spa therapies in rheumatic diseases: what scientific evidence is there?” Rheumatology International, vol. 31, no. 1, pp. 1–8, 2011.
- R. Melzack and P. D. Wall, “Pain mechanisms: a new theory,” Science, vol. 150, no. 3699, pp. 971–979, 1965.
- J. G. McVeigh, H. McGaughey, M. Hall, and P. Kane, “The effectiveness of hydrotherapy in the management of fibromyalgia syndrome: a systematic review,” Rheumatology International, vol. 29, no. 2, pp. 119–130, 2008.
- J. W. S. Vlaeyen, N. J. G. Teeken-Gruben, M. E. J. B. Goossens et al., “Cognitive-educational treatment of fibromyalgia: a randomized clinical trial. I Clinical effects,” Journal of Rheumatology, vol. 23, no. 7, pp. 1237–1245, 1996.
- D. C. Turk, “Cognitive-behavioral approach to the Treatment of chronic pain patients,” Regional Anesthesia and Pain Medicine, vol. 28, no. 6, pp. 573–579, 2003.
- K. Thieme and R. H. Gracely, “Are psychological treatments effective for fibromyalgia pain?” Current Rheumatology Reports, vol. 11, no. 6, pp. 443–450, 2009.
- D. Munguía-Izquierdo and A. Legaz-Arrese, “Exercise in warm water decreases pain and improves cognitive function in middle-aged women with fibromyalgia,” Clinical and Experimental Rheumatology, vol. 25, no. 6, pp. 823–830, 2007.
- P. Tomas-Carus, N. Gusi, A. Häkkinen, K. Häkkinen, A. Leal, and A. Ortega-Alonso, “Eight months of physical training in warm water improves physical and mental health in women with fibromyalgia: a randomized controlled trial,” Journal of Rehabilitation Medicine, vol. 40, no. 4, pp. 248–252, 2008.
- N. Gusi and P. Tomas-Carus, “Cost-utility of an 8-month aquatic training for women with fibromyalgia: a randomized controlled trial,” Arthritis Research and Therapy, vol. 10, no. 1, article R24, 2008.
- N. André-Obadia, R. Peyron, P. Mertens, F. Mauguière, B. Laurent, and L. Garcia-Larrea, “Transcranial magnetic stimulation for pain control. Double-blind study of different frequencies against placebo, and correlation with motor cortex stimulation efficacy,” Clinical Neurophysiology, vol. 117, no. 7, pp. 1536–1544, 2006.
- A. Graff-Guerrero, J. González-Olvera, A. Fresán, D. Gómez-Martín, J. C. Méndez-Núñez, and F. Pellicer, “Repetitive transcranial magnetic stimulation of dorsolateral prefrontal cortex increases tolerance to human experimental pain,” Cognitive Brain Research, vol. 25, no. 1, pp. 153–160, 2005.
- F. Nahmias, C. Debes, D. C. de Andrade, A. Mhalla, and D. Bouhassira, “Diffuse analgesic effects of unilateral repetitive transcranial magnetic stimulation (rTMS) in healthy volunteers,” Pain, vol. 147, no. 1–3, pp. 224–232, 2009.
- J. Summers, S. Johnson, S. Pridmore, and G. Oberoi, “Changes to cold detection and pain thresholds following low and high frequency transcranial magnetic stimulation of the motor cortex,” Neuroscience Letters, vol. 368, no. 2, pp. 197–200, 2004.
- T. Valmunen, A. Pertovaara, T. Taiminen, A. Virtanen, R. Parkkola, and S. K. Jääskeläinen, “Modulation of facial sensitivity by navigated rTMS in healthy subjects,” Pain, vol. 142, no. 1-2, pp. 149–158, 2009.
- F. Fregni, S. Freedman, and A. Pascual-Leone, “Recent advances in the treatment of chronic pain with non-invasive brain stimulation techniques,” Lancet Neurology, vol. 6, no. 2, pp. 188–191, 2007.
- J. P. Lefaucheur, “The use ofrepetitive transcranial magnetic stimulation (rTMS) inchronic neuropathic pain,” Neurophysiologie Clinique, vol. 36, no. 3, pp. 117–124, 2006.
- E. M. Khedr, H. Kotb, N. F. Kamel, M. A. Ahmed, R. Sadek, and J. C. Rothwell, “Longlasting antalgic effects of daily sessions of repetitive transcranial magnetic stimulation in central and peripheral neuropathic pain,” Journal of Neurology, Neurosurgery and Psychiatry, vol. 76, no. 6, pp. 833–838, 2005.
- R. Defrin, L. Grunhaus, D. Zamir, and G. Zeilig, “The effect of a series of repetitive transcranial magnetic stimulations of the motor cortex on central pain after spinal cord injury,” Archives of Physical Medicine and Rehabilitation, vol. 88, no. 12, pp. 1574–1580, 2007.
- Y. Katayama, T. Yaniamoto, K. Kobayashi, H. Oshima, and C. Fukaya, “Deep brain and motor cortex stimulation for post-stroke movement disorders and post-stroke pain,” Acta Neurochirurgica, Supplementum, no. 87, pp. 121–123, 2003.
- C. Nuti, R. Peyron, L. Garcia-Larrea et al., “Motor cortex stimulation for refractory neuropathic pain: four year outcome and predictors of efficacy,” Pain, vol. 118, no. 1-2, pp. 43–52, 2005.
- T. Tsubokawa, Y. Katayama, T. Yamamoto, T. Hirayama, and S. Koyama, “Chronic motor cortex stimulation for the treatment of central pain,” Acta Neurochirurgica, Supplement, vol. 52, pp. 137–139, 1991.
- A. Mhalla, S. Baudic, D. C. De Andrade et al., “Long-term maintenance of the analgesic effects of transcranial magnetic stimulation in fibromyalgia,” Pain, vol. 152, no. 7, pp. 1478–1485, 2011.
- D. C. Park, J. M. Glass, M. Minear, and L. J. Crofford, “Cognitive function in fibromyalgia patients,” Arthritis & Rheumatism, vol. 44, pp. 2125–2133, 2001.