Comparison of the AAPT Fibromyalgia Diagnostic Criteria and Modified FAS Criteria with Existing ACR Criteria for Fibromyalgia in Korean Patients

The effect of fibromyalgia syndrome on female patients diagnosed with chronic migraine

OBJECTIVE

To compare pain, quality of life, sleep, anxiety and depression, central sensitization, and functionality between chronic migraine (CM) patients with comorbid fibromyalgia syndrome (FMS) and patients with CM alone.

METHOD

Thirty three female patients with CM and thirty three female patients with CM+FMS were enrolled in the study. Demographic and clinical characteristics of the patients were recorded. FM was diagnosed based on the 2016 American College of Rheumatology diagnostic criteria. All participants were evaluated with Allodynia Symptom Checklist, Short Form-36 (SF-36), Pittsburgh Sleep Quality Index (PSQI), Hospital Anxiety and Depression Scale (HADS), Migraine Disability Assessment (MIDAS) and Headache Impact Test (HIT-6) questionnaires, and Central Sensitization Inventory (CSI). FM patients were also evaluated with Fibromyalgia Impact Questionnaire (FIQ).

RESULTS

The average number of headache days was significantly higher in patients with CM+FMS (p = 0.006). Among migraine accompanying symptoms, the number of patients with phonophobia was significantly higher in patients with CM+FMS (p = 0.008). While CSI score was 39.0 ± 11.7 in CM patients, it was 52.2 ± 9.2 in CM+FMS patients. CSI scores were higher in CM+FMS patients (p < 0.001). SF-36 sub-cores, including physical function, energy/fatigue, emotional well-being, and general health scores, were lower in CM+FMS patients (p < 0.05). Sleep duration was significantly lower and use of medication to sleep was more common in same group (p < 0.05). FIQ score in CM+FMS patients was associated with quality of life scores, sleep quality, anxiety, and central sensitization scores (p < 0.05).

CONCLUSION

In patients with chronic migraine, FMS comorbidity negatively affects the quality of life and significantly increases central sensitization.

Spectrochemical approach combined with symptoms data to diagnose fibromyalgia through paper spray ionization mass spectrometry (PSI-MS) and multivariate classification

This study performs a chemical investigation of blood plasma samples from patients with and without fibromyalgia, combined with some of the symptoms and their levels of intensity used in the diagnosis of this disease. The symptoms evaluated were: visual analogue pain scale (VAS); fibromyalgia impact questionnaire (FIQ); Hamilton anxiety rating scale (HAM); Tampa Scale for Kinesiophobia (TAMPA); quality of life Questionnaire-physical and mental health (QL); and Pain Catastrophizing Scale (CAT). Plasma samples were analyzed by paper spray ionization mass spectrometry (PSI-MS). Spectral data were organized into datasets and related to each of the symptoms measured. The datasets were submitted to multivariate classification using supervised models such as principal component analysis with linear discriminant analysis (PCA-LDA), successive projections algorithm with linear discriminant analysis (SPA-LDA), genetic algorithm with linear discriminant analysis (GA-LDA) and their versions with quadratic discriminant analysis (PCA/SPA/GA-QDA) and support vector machines (PCA/SPA/GA-SVM). These algorithm combinations were performed aiming the best class separation. Good discrimination between the controls and fibromyalgia samples were observed using PCA-LDA, where the spectral data associated with the CAT symptom achieved 100% classification sensitivity, and associated with the VAS symptom achieved 100% classification specificity, with both symptoms at the moderate level of intensity. The spectral variable at 579 m/z was found to be substantially significant for classification according to the PCA loadings. According to the human metabolites database, this variable can be associated with a LysoPC compound, which comprises a class of metabolites already evidenced in other studies for fibromyalgia diagnosis. This study proposed an investigation of spectral data combined with clinical data to compare the classification ability of different datasets. The good classification results obtained confirm this technique is as a good analytical tool for the detection of fibromyalgia, and provides theoretical support for other studies about fibromyalgia diagnosis.

[Modern ideas about the relationship between fibromyalgia and mental disorders]

Fibromyalgia (FM) is a pain syndrome with a high burden and an understudied etiology and pathogenesis. There is now considerable evidence that FM has a strong bidirectional relationship with psychiatric disorders and is associated with certain personality traits that contribute to the severity of key somatic symptoms and affect overall prognosis. In this article, the authors present data from recent epidemiological and neurobiological studies, discuss the multilevel relationship between FM and psychiatric disorders, and briefly review approaches to the treatment of co-morbid conditions.

Direct-Acting Antiviral Drugs Reduce Fibromyalgia Symptoms in Patients with Chronic Hepatitis C

Background Fibromyalgia (FM) is a complex disorder characterized by chronic widespread pain and significant patient burden. Patients with chronic hepatitis C are reportedly predisposed to the development of FM. Direct-acting antiviral drugs (DAA) achieved a remarkable therapeutic efficacy in CHC patients. We therefore investigated the impact of DAA on FM symptoms in CHC patients. Methods We enrolled consecutive CHC patients who received DAA. FM symptoms were evaluated based on the 2016 American College of Rheumatology (ACR) fibromyalgia scale at baseline and 12 and 24 weeks after cessation of DAA therapy. Logistic regression was performed to determine the influence of HCV on FM at baseline. We also recruited individuals who underwent a health checkup examination as the control group, and calculated the standardized prevalence ratio of FM in CHC patients. Comparisons of fibromyalgia in different time points were undertaken using the Wilcoxon signed-rank test. Results A total of 33 CHC patients (15 males and 18 females) and 402 controls were recruited. All CHC patients achieved sustained virological response. Two (6%) patients and two (0.5%) controls fulfilled the diagnostic criteria for FM, and the standardized prevalence ratio was 23.9 in CHC patients. Logistic regression also showed increased odds for FM in CHC patients after adjusting for age and sex (OR: 14.4; 95%CI: 1.6, 128.0). In addition, their fibromyalgianess scale decreased at 12 and 24 weeks after DAA therapy. In conclusion, CHC patients were more likely to develop FM. Implementation of DAA therapy might improve FM symptoms in these patients.

Disentangling Diagnosis and Management of Fibromyalgia

Fibromyalgia (FM) is a chronic pain condition characterized by widespread pain accompanied by symptoms such as fatigue, sleep disturbance, cognitive dysfunction, and mood disorder. The pathophysiology of FM has been unclear, leading to inconsistent diagnosis and ineffective management. Several diagnostic criteria for FM have been proposed in recent years, including the revised 2016 American College of Rheumatology (ACR) criteria, the criteria of the ACTTION-American Pain Society Pain Taxonomy (AAPT) group, and the modified 2019 Fibromyalgia Assessment Status (FAS) criteria. Despite the appearance of newer criteria for FM diagnosis, the 2016 ACR criteria demonstrate the best performance. Many randomized controlled studies and systematic reviews have shown the therapeutic efficacies of pharmacological and non-pharmacological treatments of FM. Nevertheless, further research is needed to develop better treatment options.