Objectives To study the characteristics and influencing factors of sleep disorder in patients with epilepsy. Methods One hundred and eighty-four patients with epilepsy who were admitted to the outpatient department and the epilepsy center in the Second Affiliated Hospital of Zhejiang University from October 2016 to October 2017 were enrolled. Their clinical data were collected in detail and their sleep related scales were evaluated. Sleep related assessment tools: Chinese version of the Pittsburgh sleep quality index scale (PSQI), the Epworth sleepiness scale (ESS), Berlin Questionnaire (BQ), Quality Of Life In People With Epilepsy-31 (QOLIE-31), Beck Anxiety Inventory (BAI) and Beck Depression Inventory(BDI). Results Among the 184 cases of patients with epilepsy, 100 cases were male (54.3%), 84 cases were female (45.7%), 35 cases (19.0%) had sleep disorders, 89 cases (48.4%) with poor quality of life, 23 cases (12.5%) with anxiety, 47 cases (25.5%) with depression, 59 cases (32.1%) had daytime sleepiness, and 30 cases (16.3%) with OSAS. there were statistically significant differences in age, history of hypertension, seizure frequency, quality of life , anxiety and depression in epilepsy patients with sleep disorder compared those without sleep disorder (P<0.05). The seizure frequency, quality of life, anxiety and depression were analyzed by logistic regression analysis, suggesting that seizure frequency (P=0.011) and depression (P<0.001) are independent risk factors of sleep disorders. Conclusions Epileptic patients with sleep disorder have higher frequency of seizures, poorer quality of life, and are more likely to be associated with anxiety and depression, and the frequency and depression are independent risk factors of sleep disorder in patients with epilepsy.
ObjectiveTo analyse the hundred top-cited articles in obstructive sleep apnea hypopnea syndrome (OSAHS), and summarize the development trend of OSAHS research.MethodsWe searched the Web of Science core collection for all published articles on OSAHS or sleep disorders from January 1st, 1992 to May 23th, 2018. The hundred top-cited articles with the most frequent citation were selected. The publication time, country of origin, journal, institution, professional field of corresponding author, funding type, publication type, etc. were analyzed.ResultsThe hundred top-cited articles were published between 1992 and 2013, with 300～5 980 citations and a total of 65 719 citations. The main types of articles were clinical studies (73 articles), reviews (20 articles), guidelines (4 articles) and basic research (3 articles). Fourteen authors published more than one first-author paper, and fifteen authors published more than one articles as corresponding authors. These authors were distributed across 22 subject areas. The most cited country was the United States (60 articles), and the most cited institution was the University of Wisconsin (10 articles). The hundred top-cited articles were published in 31 journals, most of which were cited less than 1 000 times, and a few articles were cited more than 2 000 times.ConclusionsOSAHS has attracted much attention in respiratory medicine, neurology, epidemiology and other fields, and many articles about clinical research types of OSAHS have been cited. In addition, most of the highly cited articles in the OSAHS field come from the developed countries; our country needs to devote more resources to OSAHS research.
Objectives To systematically review the prevalence of sleep disorders in Chinese elderly population. Methods CNKI, Wanfang, VIP, PubMed and Web of Science were searched to collect studies on the prevalence of sleep disorders the Chinese elderly from January 2000 to November 2017. Two reviewers independently screened literatures, extracted data and evaluated risk of bias of the included studies, then meta-analysis was performed by Stata 14.0 software. Results A total of 19 cross-sectional studies were included. The results of the meta-analysis showed that, the overall prevalence of sleep disorders was 41.2% (95% CI 36.2% to 46.2%). Male and female prevalence rates were 35.7% and 45.0%, respectively. For individuals aged between 60 to 70, 70 to 80 and above 80, the prevalence rates were 29.9%, 42.0%, 44.2%, respectively. For individuals with primary school education and below, junior/high school education, college degree or above, the prevalence rates were 29.0%, 23.1%, 22.4%, respectively. The prevalence rate of individuals with normal marital status was 31.5%, and those with abnormal marital status (widowed, divorced, single, etc.) was 41.0%. The prevalence rate in individuals with in people with physical illness was 45.7%, and those without physical illness was 32.4%. For the urban population, the prevalence rate was 36.4%, while for the rural population, the prevalence rate was 42%. Conclusions The overall prevalence of sleep disorders in the Chinese elderly is high. The prevalence rate of sleep disorders among gender, age, educational level, marital status, physical illness, and living space is different.
Objective To retrieve and summarize evidence of non-pharmacological interventions for sleep disorders in patients with osteoarthritis (OA), and to organize and evaluate the extracted evidence to provide evidence-based interventions for sleep disorders in patients with OA. Methods The relevant literature on non-pharmacological interventions for sleep disorders in patients with OA in BMJ Best Practice, UpToDate, JBI evidence-based healthcare center database, National Institute for Health and Clinical Excellence, Registered Nurses’ Association of Ontario, Guidelines International Network, Medlive guidelines network, Cochrane Library, PubMed, Web of Science, China National Knowledge Infrastructure and Wanfang was systematically searched. The search deadline was June 30th, 2024. The retrieved results were integrated and analyzed to form evidence of non pharmacological interventions for sleep disorders in patients with OA. Results A total of 13 articles were included, including 1 evidence report, 5 guidelines, 2 expert consensus papers, 3 systematic reviews, and 2 randomized controlled trials. The summarized evidence involves six aspects of sleep screening, specialist visits, assessment tools, cognitive behavioral therapy, exercise therapy, and other measures, totaling 20 pieces of evidence. Conclusion Non-pharmacological interventions for sleep disorders of patients with OA include multiple aspects, and this evidence can provide theoretical basis for developing intervention plans for sleep disorder of patients with OA, thereby improving their sleep quality and enhancing quality of life.
Patients with autoimmune encephalitis are mainly characterized by behavioral, mental and motor abnormalities, neurological dysfunction, memory deficits and seizures. Different antibody types of autoimmune encephalitis its pathogenesis, clinical characteristics are different, in recent years found immune related epilepsy is closely related to autoimmune encephalitis, based on autoimmune encephalitis type is more, we choose more common autoimmune encephalitis, expounds its characteristics, to help clinical diagnosis.
ObjectiveTo systematically review the risk factors associated with sleep disorders in ICU patients.MethodsWe searched The Cochrane Library, PubMed, EMbase, Web of Science, CNKI, Wanfang Data, VIP and CBM databases to collect cohort studies, case-control studies and cross-sectional studies on the risk factors associated with sleep disorders in ICU patients from inception to October, 2018. Two reviewers independently screened literature, extracted data and evaluated the bias risk of included studies. Then, meta-analysis was performed by using RevMan 5.3 software.ResultsA total of 9 articles were included, with a total of 1 068 patients, including 12 risk factors. The results of meta-analysis showed that the combined effect of equipment noise (OR=0.42, 95%CI 0.26 to 0.68, P=0.000 4), patients’ talk (OR=0.53, 95%CI 0.42 to 0.66, P<0.000 01), patients’ noise (OR=0.39, 95%CI 0.21 to 0.74, P=0.004), light (OR=0.29, 95%CI 0.18 to 0.45, P<0.000 01), night treatment (OR=0.36, 95%CI 0.26 to 0.50, P<0.000 01), diseases and drug effects (OR=0.17,95%CI 0.08 to 0.36, P<0.000 01), pain (OR=0.37, 95%CI 0.17 to 0.82, P=0.01), comfort changes (OR=0.34,95%CI 0.17 to 0.67,P=0.002), anxiety (OR=0.31,95%CI 0.12 to 0.78, P=0.01), visit time (OR=0.72, 95%CI 0.53 to 0.98, P=0.04), economic burden (OR=0.63, 95%CI 0.48 to 0.82, P=0.000 5) were statistically significant risk factors for sleep disorders in ICU patients.ConclusionCurrent evidence shows that the risk factors for sleep disorders in ICU patients are environmental factors (talking voices of nurses, patient noise, and light), treatment factors (night treatment), disease factors (disease itself and drug effects, pain,) and psychological factors (visiting time, economic burden). Due to the limited quality and quantity of included studies, more high quality studies are needed to verify the above conclusions.
Epilepsy and sleep disorders are common health problems in the world, and sleep disorders as a common comorbidity of epilepsy patients, there are high prevalence, low attention rate, low treatment rate phenomenon. In addition, epilepsy and sleep disorders can affect each other, exacerbating the onset of their own symptoms. Therefore, timely identification and treatment of these comorbidities are crucial to improve patients' quality of life, increase daytime alertness and reduce the occurrence of seizures. This article reviews the effects of different anti-seizure programs on patients with epilepsy comorbidities sleep disorders, in order to provide references for how to better choose epilepsy treatment measures for these patients.
ObjectiveTo investigate the psychology and sleep statuses of liver transplantation recipients during the outbreak of COVID-19.MethodsCluster sampling was used to investigate the patients who underwent liver transplantation in the West China Hospital of Sichuan University from January to February 2020. The psychology and sleep statuses were evaluated by the self-designed questionnaire, State-Trait Anxiety Inventory (SAI), Center for Epidemiological Studies Depression Scale (CES-D), and Pittsburgh sleep quality index (PSQI).ResultsTwenty-seven liver transplantation recipients were included in this study. The questionnaires of the 27 patients were collected. The SAI score was (46.41±8.77); The score of CES-D was (13.11±7.87), there were 2 (7.4%) patients with depression; The PSQI score was (6.44±4.02), there were 7 (25.9%) patients with sleep disorders. The points of anxiety and depression of the patients with different gender, age, education level, marital status, residence, living conditions, primary disease, Child-Pugh classification, whether suffered SARS epidemics, COVID-19 knowledges level, medical insurance, family annual income per capita, and income and expenditure of cash had no significant differences (P>0.05) during the outbreak of COVID-19. However, the points of patients with male or suffered SARS or the family annual income per capita ≥60 000 yuan were higher than those of patients with female or not-suffered SARS or the family annual income per capita <60 000 yuan (P<0.05).ConclusionsAnxiety and sleep disorder of liver transplantation recipients are common during the outbreak of COVID-19, which could not be ignored. Knowledges of COVID-19 should be paid to spread so as to reduce psychological pressure and improve sleep quality.
The use of actigraphy, which can be used to estimate sleep-wake patterns from activity levels, has become common in sleep research. Actigraphy is a simple, cost-effective and non-invasive method for healthcare providers and researchers to assess patients sleep quality and screen for potential sleep disorders in recent years. But, there is no wide recognition and application of actigraphy in China up till now. This review summarized the application of actigraphy in evaluation of sleep and diagnosis of sleep disorders.