OBJECTIVES:To investigate sleep quality in patients with fibromyalgia (FM) and to analyse the effect of sleep on FM symptoms and quality of life.METHODS:Patients with FM and healthy subjects were recruited to assess their sleep quality, and patients were further assessed for pain, fatigue, depression, psychological stress and quality of life. The patients were divided into a sleep disorder group as measured by the Pittsburgh Sleep Quality Index (PSQI score >7 points) and a group without sleep disorders (PSQI score ≤7 points). Linear regression analysis was used to explore the effect of sleep quality on FM pain controlling for sex and age, and the effect of sleep quality on FM fatigue, depression, psychological stress and quality of life controlling for sex, age and pain.RESULTS:A total of 450 patients and 50 healthy subjects participated in the study. The number of FM patients with sleep disorders was significantly higher than that of healthy subjects (90% vs. 14%, p≤0.001). In addition to the number of pain sites, the levels of pain, fatigue, depression, stress symptoms and quality of life were significantly impaired in FM patients with sleep disorders (p<0.05). In terms of the effects on quality of life assessed with the 36-item short-form health survey, the decrease in mental health was more substantial than the decrease in physical health (B=-12.10 vs. B=-5.40).CONCLUSIONS:Similar to FM patients in other countries and regions, a decrease in sleep quality is also the core symptom of FM patients in China and is significantly correlated with the severity of pain, fatigue, depression and stress symptoms and reduced quality of life, especially with regard to mental health, suggesting that the treatment of this disease should include sleep disorder interventions.

慢性疼痛是全球性的健康问题,纤维肌痛综合征(FMS)作为以慢性疼痛为核心症状的风湿病,其临床表现具有高度异质性,且发病机制复杂,迄今尚未彻底阐明.由于医学伦理及道德的约束,人体试验存在诸多局限,故FMS动物模型作为研究本病的有力工具,对于明确FMS发生发展和病理机制尤为重要.本文从造模方法、与FMS临床症状、病理生理学和治疗反应的相似度4个方面对FMS目前较成熟的动物模型进行综述,希望能为研究者选用和建立本病的实验动物模型提供参考.

Fibromyalgia syndrome (FMS) is a type of rheumatology that seriously affects the normal life of patients. Due to the complex clinical manifestations of FMS, it is challenging to detect FMS. Therefore, an automatic FMS diagnosis model is urgently needed to assist physicians. Brain functional connectivity networks (BFCNs) constructed by resting-state functional magnetic resonance imaging (rs-fMRI) to describe brain functions have been widely used to identify individuals with relevant diseases from normal control (NC). Therefore, we propose a novel model based on BFCN and graph convolutional network (GCN) for automatic FMS diagnosis. Firstly, a novel fused BFCN method is proposed by fusing Pearson’s correlation (PC) and low-rank (LR) BFCN, which retains information and reduces data redundancy to construct BFCN. Then we combine the feature of BFCN with non-image information of subjects to obtain nodes and adjacency matrices, which builds a graph with edge attention. Finally, the graph is sent to the GCN layer for FMS diagnosis. Our model is evaluated on the in-house FMS dataset to achieve 82.48% accuracy. The experimental results show that our method outperforms the state-of-the-art competing methods.

养生气功八段锦是中国古代著名的导引之术,是我国历史文化瑰宝,在阴阳、经络、脏腑等中医学理论的指导下,八段锦在祛病保健、康复治疗等方面发挥了重要作用,蕴含着中医学未病先防的理念.其动作简单,易学易练,经过千年的沉淀,一直深受广大群众的推崇,是当下群众养生健身常用的锻炼方式.文中对八段锦的产生、形成、发展、流派进行梳理,并进一步探讨八段锦所体现的中医理论及其疗效机制,以期为八段锦的后续研究提供一定的参考.

Patients with fibromyalgia syndrome (FMS) offen shows Gastrointestinal symptoms. The composition of gastrointestinal flora and the abundance of some flora always changes in FMS, and the metabolic activities of flora may be related to the symptoms of FMS. The treatment of FMS by regulating liver and spleen with Traditional Chinese Medicine and regulating qi movement with traditional exercises can achieve better efficacy, and its efficacy mechanism may be related to the improvement of intestinal flora metabolism.