Objective To investigate the pathological mechanism of epileptic comorbid sleep disorder by analyzing the changes of cerebral white matter diffusion tensor in patients with sleep disorder with negative magnetic resonance imaging (MRI) epilepsy based on the method of tract-based spatial statistics (TBSS). Methods MRI negative epilepsy patients comorbid sleep disorder who were epileptic patients treated l in China-Japan Union Hospital of Jilin University from January 2020 to December 2022 completed the Epworth sleepiness scale (ESS) and Pittsburgh sleep quality index (PSQI) tests, and those who complained of sleep disorder and PSQI index ≥11 were monitored by nighttime polysomnography (PSG) and those with objective sleep disorder confirmed by PSG were included in the epilepsy comorbid sleep disorder group. Healthy volunteers with matching gender, age, education were included in the health control group. Diffusion tensor image ( DTI) was collected for all subjects by using a 3.0T magnetic resonance scanner. Diffusion parameters were compared between the two groups using TBSS. Results This study included 36 epilepsy patients comorbid sleep disorder and 35 healthy volunteers. epilepsy patients comorbid sleep disorder showed significantly lower fraction anisotropy (FA) (P<0.05) and significantly higher mean diffusivity (MD) (P<0.05) than the health control group . Brain regions with statistical differences in FA reduction included middle peduncle of cerebellum, genu of corpus callosum, body of corpus callosum, splenium of corpus callosum, anterior corona radiata, external capsule and right posterior thalamic radiation.Brain regions with statistical differences in MD degradation included genu of corpus callosum, body of corpus callosum, anterior limb of internal capsule, anterior corona radiata, superior corona radiata, external capsule and right posterior limb of internal capsul. Conclusion Patients with epilepsy comorbidities with sleep disorders have widespread and symmetric white matter damage.The white matter damage is concentrated in the front of the brain.
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.
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.
The incidence of perioperative sleep disorders in patients with cervical spondylosis is high, which affects the physiological and psychological rehabilitation effect of patients after surgery. The expert consensus (preliminary draft) was prepared by summarizing expert experience and recommendations. After expert review and revision, the consensus was formed. The consensus was developed based on existing evidence-based medical evidence and expert clinical experience, which is scientific and practical and can provide a basis for clinical medical personnel to prevent and treat perioperative sleep disorders in patients with cervical spondylosis.
ObjectiveTo investigate the impact of perioperative sleep disorders on short-term postoperative outcomes in patients undergoing coronary artery bypass grafting (CABG) and to provide a basis for optimizing clinical outcomes. MethodsThis single-center, prospective cohort study enrolled 295 patients scheduled for CABG at Xijing Hospital between August 2024 and September 2025. After screening, based on preoperative sleep assessments, patients were divided into a sleep disorder group and a non-sleep disorder group. Sleep status was evaluated using the Pittsburgh sleep quality index (PSQI) and cardiopulmonary coupling (CPC) sleep monitoring. Postoperative complication rates, recovery indicators, and laboratory results were compared between the two groups. Multivariate logistic regression analysis was performed to determine the association between sleep disorders and adverse postoperative outcomes. ResultsAfter screening, 256 patients including 201 males and 55 females with a mean age of (62.4±8.3) years, met the inclusion criteria. There were 157 patients in the sleep disorder group and 99 in the non-sleep disorder group. No statistically significant differences in baseline characteristics were found between the two groups (P>0.05). Compared with the non-sleep disorder group, the sleep disorder group had significantly higher incidences of postoperative delirium, atrial fibrillation (AF), hyperalgesia, and postoperative hypertension, longer ICU stays, extended duration of mechanical ventilation, and significantly increased postoperative drainage volume, elevated postoperative cardiac injury markers, poorer recovery of left ventricular ejection fraction, and a more severe inflammatory response (P＜0.05). Multivariate logistic regression analysis identified sleep disorder as an independent risk factor for postoperative AF (OR=2.21, 95%CI 1.20-4.06, P=0.010), delirium (OR=2.18, 95%CI 1.16-4.09, P=0.015), and hyperalgesia (OR=1.78, 95%CI 1.04-3.05, P=0.036). ConclusionPerioperative sleep disorder is closely associated with adverse short-term postoperative outcomes in patients undergoing CABG, as it increases the risk of postoperative complications and delays cardiac function recovery. These findings underscore the clinical importance of perioperative sleep management.