The Evolution of Fibromyalgia, Its Concepts, and Criteria

Physiotherapists' adherence to Clinical Practice Guidelines in fibromyalgia: a cross-sectional online survey

To evaluate the level of knowledge and adherence to Clinical Practice Guidelines on fibromyalgia of physiotherapists in Spain. A cross-sectional study using an ad-hoc online survey was implemented to assess aspects on the assessment, treatment, and decision of the length of the therapeutic approach on fibromyalgia. Based on the results, professionals were classified as adherent, partially adherent, or non-adherent. The level of agreement with several statements on the condition was also evaluated across the professionals surveyed to evaluate the potential consensus. A total of 240 physiotherapists met inclusion criteria, amongst which 68 (28.33%) were adherent. The academic level of studies (Chi-square = 48.601, p-value = 0.001) and having had previous training in fibromyalgia (Chi-square = 151.011, p-value = 0.001) displayed statistically significant differences across adherence-based groups. Consensus was reached for 15 out of 24 statements. Our findings highlight the presence of an acceptable level of knowledge and adherence to clinical practice guidelines in the field of fibromyalgia among physiotherapists in Spain.Practice implicationsOur results also reveal the existence of an evidence-to-practice gap in the field, with potential room for improvement: further efforts on promoting and reinforcing the importance of evidence-based therapies are needed, from university teaching plans to clinical updates for daily practice.

Automated characterization and detection of fibromyalgia using slow wave sleep EEG signals with glucose pattern and D'hondt pooling technique

Fibromyalgia is a soft tissue rheumatism with significant qualitative and quantitative impact on sleep macro and micro architecture. The primary objective of this study is to analyze and identify automatically healthy individuals and those with fibromyalgia using sleep electroencephalography (EEG) signals. The study focused on the automatic detection and interpretation of EEG signals obtained from fibromyalgia patients. In this work, the sleep EEG signals are divided into 15-s and a total of 5358 (3411 healthy control and 1947 fibromyalgia) EEG segments are obtained from 16 fibromyalgia and 16 normal subjects. Our developed model has advanced multilevel feature extraction architecture and hence, we used a new feature extractor called GluPat, inspired by the glucose chemical, with a new pooling approach inspired by the D'hondt selection system. Furthermore, our proposed method incorporated feature selection techniques using iterative neighborhood component analysis and iterative Chi2 methods. These selection mechanisms enabled the identification of discriminative features for accurate classification. In the classification phase, we employed a support vector machine and k-nearest neighbor algorithms to classify the EEG signals with leave-one-record-out (LORO) and tenfold cross-validation (CV) techniques. All results are calculated channel-wise and iterative majority voting is used to obtain generalized results. The best results were determined using the greedy algorithm. The developed model achieved a detection accuracy of 100% and 91.83% with a tenfold and LORO CV strategies, respectively using sleep stage (2 + 3) EEG signals. Our generated model is simple and has linear time complexity.

Subjective Physical Symptoms Related to Bad Weather Among Persons Undergoing Medical Check-Up: A Single-Center Observational Study

Background and aim The prevalence and characteristics of physical complaints related to bad weather among the general population remain poorly understood. This study aimed to elucidate the characteristics of subjective physical symptoms related to bad weather. Methods A cross-sectional survey was conducted by using self-reported health-related questionnaires obtained from individuals undergoing annual medical check-ups at a municipal hospital in Japan. Participants were asked about the presence and details of physical symptoms related to bad weather, together with other health-related questions. Results Among the 133 participants, 42 (32%) (95%CI 24-40) reported experiencing physical conditions related to bad weather. Among these 42 patients, the most common ailment was headache (67%; n=28), followed by low back pain (21%; n=9), fatigue (19%; n=8), and stiff neck/shoulder discomfort (12%; n=5). Comparison between individuals with and without bad weather-related conditions revealed that those affected were younger (p=0.0014) and exhibited higher numerical rating scale scores for gastrointestinal problems (p=0.0027), irritability/agitation (p<0.0001), and sleep disorders (p=0.0295). These associations were confirmed even after adjusting for age and sex. Conclusions Physical conditions related to bad weather, represented by headache, fatigue, and back pain, can be seen in 25-40% of the general population, especially in younger age groups. Individuals with these conditions are more likely to experience irritability/agitation, gastrointestinal problems, and sleep disorders.

Research Trends of Acupuncture Therapy on Fibromyalgia from 2000 to 2021: A Bibliometric Analysis

Purpose

Fibromyalgia Syndrome causes great physical and mental discomfort and incurs high costs. Acupuncture has been regarded as the mainstay of treatment for Fibromyalgia Syndrome while the bibliometric analysis of this field has not been summarized properly. Thus, the purpose of this study is to analyze the hotspot of acupuncture for Fibromyalgia Syndrome.

Methods

The core collection database of Web of Science were searched for relevant publications from 2000 to 2021, and countries, institutions, authors, keywords, and literature were analyzed and visualized by bibliometric software CiteSpace V software and Vosviewer software, to explore the scientific achievements, research collaboration networks, research hot spots, and research trends.

Results

868 publications were included in this study. The publications have increased steadily over time, and the type published the most is Article. Pain is the most cited journal. The most prolific country is the USA while the most prolific institution is Univ Michigan. The most prolific and influential authors were Yiwen Lin and Wolfe F respectively. The analysis of keywords and literature showed that long-term efficacy, animal studies, alternative medicine, and electroacupuncture will be the scientific hotspots in acupuncture for fibromyalgia.

Conclusion

This study shows that the number of research studies, researchers, and research institutions on acupuncture for fibromyalgia is increasing from year to year. Future research hotspots will focus on the long-term efficacy of acupuncture in the treatment of fibromyalgia, experimental animal studies, and the development of other alternative medical therapies. In addition, electroacupuncture is receiving more and more attention as a new application of traditional acupuncture therapy.

Gradual Strength Training Improves Sleep Quality, Physical Function and Pain in Women with Fibromyalgia

BACKGROUND

Fibromyalgia (FM) is characterized by chronic and generalized musculoskeletal pain. There is currently no cure for FM, but alternative treatments are available. Among them, gradual strength training programs (ST) which on daily activities are a valid option to improve some of the pronounced symptoms of FM that affect quality of life, such as fatigue, pain, sleep quality, and physical function. However, there is a need for more information on optimal training programs to improve anxiety and fatigue symptoms.

AIM

To analyze the effects of a 24-week gradual and progressive ST on sleep quality, fatigue, pain domains, physical function, and anxiety-state.

METHODS

41 women with FM participated in the 24 weeks of intervention based on gradual and progressive ST. Two, 60 min, training sessions per week were con-ducted. Participants were evaluated before the ST program (week 0), in week 12 and at the end of the ST program (week 24). The Revised Fibromyalgia Impact Questionnaire was used to assess sleep quality and fatigue scales. Anxiety-state was evaluated with the State Anxiety Inventory, and pain domains by means of the Brief Pain Inventory. Senior Fitness Test was used for physical function measurements. One-way analysis of variance (ANOVA) was applied to assess the mean differences between phases, and Spearman's correlations were used to assess the associations between physical and psychological symptoms, and physical function.

RESULTS

The results demonstrated that 24 weeks of ST improves physical function, sleep quality and pain domains (p ≤ 0.05). Higher anxiety and pain interference scores were related to worsening physical function.

CONCLUSIONS

Gradual ST significantly improves sleep quality, pain, and physical function, but not anxiety and fatigue.

The Links Between Fibromyalgia, Hypermobility and Neurodivergence

Fibromyalgia and joint hypermobility are common coexisting conditions among younger females that are often accompanied with additional features of autonomic dysfunction. Mental health is frequently impacted with these conditions and an association with neurodivergence has been recently established. Neurodivergence is also prevalent among close relatives. Reasons for this association are poorly understood, although genetics, adverse early life experiences and autoimmunity all contribute. Pharmacological responses may differ in neurodivergence, while psychological support requires adaptation for individual sensitivities. Screening patients with fibromyalgia and hypermobility for neurodivergent traits and vice versa may facilitate diagnosis and management.