AAPT Diagnostic Criteria for Fibromyalgia

Arnold, Lesley M.; Bennett, Robert M.; Crofford, Leslie J.; Dean, Linda E; Clauw, Daniel J.; Goldenberg, Don L.; Fitzcharles, Mary Ann; Paiva, Eduardo S.; Staud, Roland; Sarzi‐Puttini, Piercarlo; Buskila, Dan; Macfarlane, Gary J.

doi:10.1016/j.jpain.2018.10.008

Cited by 263 publications

(258 citation statements)

References 188 publications

(149 reference statements)

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“…FM is characterized by a constellation of symptoms that include chronic pain, fatigue, distressed mood, and sleep dysfunction . Although there are ongoing efforts to accurately diagnose persons with FM, at present, the diagnosis of FM is assessed using the 2016 revised FM criteria (American College of Rheumatology‐2016), which is based on the Fibromyalgia Research Criteria . Given the level of subjectivity in the diagnostic rubric for FM, the recognition of objective key causal factors/mechanisms leading to the development or confirmed diagnosis of FM and FM‐related symptoms, particularly pain, and objective measures to confirm FM diagnosis have not been identified .…”

mentioning

confidence: 99%

Metabolomic Differentials in Women With and Without Fibromyalgia

Menzies

Starkweather

Yao

et al. 2019

Clinical Translational Sci

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A nontargeted plasma metabolomic analysis was conducted to compare differentially expressed metabolites in women with and without fibromyalgia (FM) using data and samples collected from two parent studies in women with FM (n = 20) and comparative data collected from newly recruited age‐matched women (n = 20). Blood plasma samples were analyzed for metabolite content using liquid chromatography mass spectrometry. Consolidation of positive and negative ion mode metabolomics data with fold change (>2 or <0.5) and variable importance of projection scores ≥1 revealed statistically significant metabolites comparing samples from women with and without FM. Metabolite profiles in patients with FM differed from the comparison group in energy, lipid and amino acid metabolites reflecting heightened oxidative stress, inflammation, and tryptophan degradation in patients with FM. Study results may contribute to further identification of unique metabolomic profiles enhancing understanding of the pathophysiology of FM and for the development of effective therapeutic options.

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confidence: 99%

Metabolomic Differentials in Women With and Without Fibromyalgia

Menzies

Starkweather

Yao

et al. 2019

Clinical Translational Sci

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“…Based on previous reports emphasizing the frequent coexistence of either fibromyalgia (FM) and chronic fatigue syndrome (CFS) with migraine and the possibility of common pathophysiological mechanisms among these disorders, the presence of FM and CFS was also noted. The diagnosis of FM was made according to ACTTION-APS Pain Taxonomy diagnostic criteria [15], and the diagnosis of CFS was made based on the National Institute for Health and Care Excellence guidelines [16]. The presence of symptoms of cognitive disturbances was also noted.…”

Section: Study Populationmentioning

confidence: 99%

May Neutrophil to Lymphocyte Ratio Serve a Role in the Prediction of Clinical Features of Migraine?

Önder

Deliktas

2020

J Neurol Res

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Background: We aimed to investigate the possible association between the value of neutrophil to lymphocyte ratio (NLR) and some specific features of migraine. Methods:We have included initially all the patients with migraine who applied to our neurology clinic in Yozgat City Hospital during December 2019 and agreed to participate in this study. The demographic and clinical characteristics including migraine subtype (episodic/chronic), headache frequency per month, headache characteristics of all patients were interrogated. Besides, the presence of fibromyalgia (FM) and chronic fatigue syndrome (CFS) was also noted. The severity of migraine was assessed using the headache impact test (HIT-6) and the severity of chronic fatigue was assessed using the Functional Assessment of Chronic Illness Therapy (FACIT) fatigue scale. A hemogram was performed upon admission to the clinic. The patients with migraine attacks during the clinic visits were excluded from the study.Results: Ultimately, 52 migraineurs were included in this study. The mean age was 37.34 ± 11.80 and the female/male (F/M) ratio was 49/3. Thirty-six patients (69%) were diagnosed with episodic migraine (EM), and 16 of them (31%) were diagnosed with chronic migraine (CM). The results of the comparative analyses between EM and CM groups showed that the NLR did not differ between groups. To evaluate the possible association of the NLR with other clinical parameters, additional comparative analyses evaluating the presence of FM, CFS, cognitive symptoms and tinnitus were also conducted, which showed no significant differences. The results of the correlation analyses to evaluate the possible associations between the NLR value and other clinical parameters were also unremarkable. Conclusions:We suggest that the NLR cannot be a specific marker to be used in the differential diagnosis or prediction of any features of migraines during the interictal period. However, in light of the previous reports, the utility of this value in the differentiating of migraine attacks from other causes of headache attacks can be investigated in future related studies.

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“…In 2016, Wolfe et al published a revision of the 2010/2011 criteria, which was supposed to diminish the misclassification of regional pain disorders (Wolfe et al, 2016). In 2018, Arnold et published new criteria (Arnold et al, 2018), which were subsequently criticized by Wolfe, (2019).…”

Section: Reviewsmentioning

confidence: 99%