Sleep Disturbances In Patients Research Articles

Assessment of sleep disturbance in patients with Wilson’s disease

BackgroundWilson’s disease (WD) is frequently manifested with anxiety, depression and sleep disturbance; this investigation aimed to elucidate these manifestations and identify the influencing factors of sleep disturbance.MethodsSleep disturbance, anxiety and depression were compared in 42 WD and 40 age- and gender-matched healthy individuals. 27 individuals indicated a neurological form of the disease (NV), and 15 had a non-neurological variant (NNV).ResultsThis investigation revealed that the Parkinson’s disease sleep scale (PDSS) score of WD individuals was lower, whereas their Epworth Sleepiness Scale (ESS), Pittsburgh sleep quality index (PSQI), Hamilton Anxiety Scale (HAMA), and Hamilton Depression Scale (HAMD) scores were higher than the healthy individuals (p < 0.05). Furthermore, the WD subjects had markedly increased prevalence of poor sleep quality, anxiety, and depression than healthy individuals (p < 0.05). Subgroup analysis showed that NV subjects had significantly higher scores on the UWDRS, PSQI, HAMA, and HAMD scales than those in the NV group, as well as higher rates of EDS, anxiety, and depression (p < 0.05). In patients with sleep disturbance, we identified UWDRS, neurological variant, and depression as associated factors. The linear regression model demonstrated depression as the dominant risk factor.ConclusionsDepression is highly correlated with and is a determinant of sleep disturbance in WD patients.

518 - Interaction of sleep disturbance and nocturnal scratch in atopic dermatitis patients

Abstract Introduction/Background Itch, scratch and poor sleep are often cited as key symptoms of Atopic Dermatitis (AD). Although approximately 10-41% of children and 7-48% of adults in the general population experience sleep disturbances, this figure climbs to 47-80% in children with AD and 33-90% in adults with AD (Bawany et al., 2021). While great effort has been done to characterize and validate nocturnal scratch and sleep, the relationship between the two remains poorly characterized. Objectives We hypothesize that nocturnal scratch is the reason for the sleep disturbances in patients with AD. Literature suggests that these symptoms are linked, albeit not necessarily causal. Here we investigate the interaction between nocturnal scratch events and sleep disturbances in study participants with AD compared to a healthy cohort. Methods Patients with AD (n=185) and without AD (n=40) aged between 2 to 75 years were recruited across three different studies. Study participants spent the night in a qualified sleep lab while being under observation with thermal videography and polysomnography (PSG). The thermal videography was annotated for both scratch and non-scratch movements by two trained annotators independently with any conflicts being resolved by an arbitrator. The PSG was scored by a credentialed technologist in 30-s epochs per revised American Academy of Sleep Medicine scoring guidelines. The study participants also wore a wrist-worn accelerometer on both the left and right wrists. Results It was noted that sleep disturbances were associated with the observed scratch events, and that the temporal relationship between sleep disturbance and scratching seemed to differ between the AD and healthy cohorts. Surprisingly, however, it was also noted that within a few study participants with AD, scratch events occurred while the patient was in stable REM sleep, most often in the children with AD. Further investigation will provide additional information as to whether this was an artifact or in fact a true observation. We also present an overview of sleep, as well as nocturnal scratch and non-scratch movements in the AD and healthy cohorts, noting specifically how the behaviors differ between the groups, and over the course of the sleep opportunity, across sleep stages and sleep cycles, as well as their relationships to sleep disturbances. Conclusions Nocturnal scratching is often associated with sleep disturbances in AD; however, the causality is not always clear. Moreover, in some cases scratching was observed during stable REM sleep in AD, an observation that requires further investigation.

Analysis of Changes in Sleep Quality and Patterns after Hip Fracture Using Real Evidence of Artificial Intelligence Linked (REAL) Hip Cohort Data.

Background and Objectives: Hip fractures are commonly found in elderly patients, and often result in chronic pain and decreased physical function, as well as worsening of overall health. It is known that early surgical intervention during the acute phase and rehabilitation are important for improving clinical outcomes for these patients. However, the importance of management for improving the quality of life of these patients is becoming more emphasized. Studies on changes in sleep patterns after hip fractures are rare overseas. Therefore, the aim of this study is to investigate the prevalence of sleep disturbance in patients with hip fractures and to analyze the changes in sleep disturbance after surgery by comparing the preoperative and postoperative results. Materials and Methods: During the period from August 2022 to January 2023, patients who underwent surgical treatment for hip fractures and were recruited into the REAL Hip Cohort were selected as research subjects. The sleep survey was conducted using the Pittsburgh Sleep Quality Index (PSQI). The PSQI is composed of 18 questions, each divided into areas of sleep quality, sleep latency, duration, efficiency, disturbance, use of medication, and daytime dysfunction. Each area is scored 0-3 points and the total is 0-21. A score greater than five indicates sleep disorder. The PSQI was surveyed during hospitalization and three months after surgery for post-fracture sleep status. To analyze changes before and after the fracture, paired T-tests and chi-square tests were performed. Results: From August 2022 to January 2023, a total of 40 patients who were recruited into the REAL Hip Cohort responded to the PSQI survey. The average age was 77.4 years and 36 were female. Sleep quality worsened from 0.75 ± 1.0 before surgery to 1.4 ± 1.0 three months after surgery (p = 0.019), and sleep efficiency also worsened from 0.4 ± 0.6 to 1.4 ± 1.0 (p < 0.001). The PSQI increased from an average of 5.2 ± 2.8 before surgery to 8.2 ± 4.2 three months after surgery (p = 0.007), and the number of patients who could be diagnosed with sleep disorders also increased from 12 (40%) to 24 (60%) (p = 0.030). Conclusions: A decline in overall sleep status was observed in patients in a survey on sleep patterns three months after hip fracture. Additional management is needed to improve their sleep patterns.

Environmental Factors as Sleep Disturbance on Critically Ill Patients in Intensive Care Units (ICU): A Cross-Sectional Study

Background: Sleep disturbance is a major problem among critically ill patients in the Intensive care unit (ICU) and often leads to negative experiences during their treatment. Previous studies found that environmental factors including noises and lighting mainly associated with the patient's sleep disturbance. Objectives: This study purposed to explore the relationship between environmental noise and lighting with the experience of sleep disturbance among critically ill patients in ICU. Methods: Analytical descriptive with a cross-sectional study approach was used in this study in the population of critically ill patients who were treated in the ICU. Setting of the study was conducted at a public hospital in West Sumatra, Indonesia from June to August 2021. The sample size was calculated by using power analysis from a previous study which obtained 80 participants. A purposive sampling technique was used based on the inclusion criteria. Data was analyzed by using percentages for the descriptive statistic and the Spearmen rank test for the inferential statistic. Results: Results of the study showed that 37.5% of the participants had sleep disturbance from environmental noise and 31 participants 38.75% of participants had sleep disturbance from lighting. Moreover, there was a significant relationship between environmental factors with sleep dis- orders in critically ill patients. Conclusion: Environmental factors of noises and lighting associated with the experience of disturbance among critically ill patients in ICU. It should be expected that hospitals could provide health education for patients and families suffering from sleep disturbance to maintain a calm environment noise and good lighting.

THU116 Characteristics Of Sleep Disturbance And The Related Hormonal Changes In Patients With Long COVID

Abstract Disclosure: N. Sunada: None. Y. Nakano: None. Y. Otsuka: None. K. Tokumasu: None. H. Honda: None. Y. Sakurada: None. Y. Matsuda: None. T. Hasegawa: None. D. Omura: None. K. Ochi: None. H. Hagiya: None. K. Ueda: None. H. Kataoka: None. F. Otsuka: None. COVID-19 causes prolonged symptoms called either long COVID or post COVID-19 condition (PCC). Such prolonged conditions have been experienced in approximately one-third of COVID-19 patients even a few months after the acute phase of infection. In Japan, we have recently reported clinical characteristics of long COVID patients who visited our COVID-19 aftercare outpatient clinic (CAC). The major complaints in the early period of the COVID-19 pandemic were fatigue and anxiety and that the severity of the infection status affected the number and duration of persistent symptoms. We have also shown that endocrine factors including anterior pituitary, adrenal and thyroid hormones and male androgen levels might be related to the fatigue symptoms of long COVID. However, the characteristics of long COVID patients with sleep disturbance have yet to be elucidated. The aim of this study was to determine the characteristics of sleep disturbance in patients with long COVID by focusing on the clinical manifestations and the related endocrine data. This study was a single-center retrospective observational study for patients who visited the CAC established in Okayama University Hospital in Japan during the period from Feb. 2021 to Jul. 2022. Out of 363 patients with long COVID after excluding 6 patients, 60 patients (16.5%) (55% males, median age of 38 years) complaining of sleep disturbance were compared with 303 patients (83.5%) (43% males, median age of 40 years) without sleep-related symptoms. Although there were no significant differences in clinical backgrounds and severities of COVID-19 between the two groups, the percentage of long COVID patients with sleep disturbance was significantly increased (50%) among patients infected in the Omicron-dominant phase. Also, the prevalence rate of sleep disturbance in patients when infected in the Omicron phase (24.8%) was two-times higher than that in patients infected in the Delta phase (12.8%). Of note, the percentages of patients with sleep disturbance who also complained of general fatigue, headache, concentration loss, anxiety, low-grade fever and brain-fog symptoms were higher than the percentages of patients without sleep disturbance who had the same complaints. Among the types of sleep disturbance, the percentage of patients who complained of loss of sleep induction (75%) was much higher than the percentage of patients with early-awaking sleep disturbance (6.7%). Endocrine examinations revealed that long COVID patients with sleep disturbance had significantly higher levels of plasma ACTH and lower levels of serum GH, suggesting the presence of hypothalamo-pituitary stress. Collectively, we uncovered that 16.5% of total patients with long COVID, reaching up to half of those in Omicron-dominant phase, complained of sleep disturbance. Endocrine workup also indicated that these manifestations could be associated with increased stress of the hypothalamo-pituitary axis. Presentation: Thursday, June 15, 2023

Prediction of risk factors of sleep disturbance in patients undergoing total hip arthroplasty.

The purpose of this study was to assess sleep quality in patients undergoing total hip arthroplasty (THA) from preoperatively to 12weeks postoperatively and to establish a risk predictor for postoperative sleep disturbance to enable early care and intervention. A self-designed data collection form was used. Patients were assessed preoperatively and at 5 postoperative time points using visual analog scale (VAS) for pain, sleep quality and neuropsychological status with the following assessment tools: the Chinese versions of the Pittsburgh Sleep Quality Index (CPSQI), the Epworth Sleepiness Scale (CESS), the Zung Self-Rating Anxiety Scale (ZSAS) and the Epidemiological Studies Depression Scale (CESD). Univariate and multivariate logistic regression analysis was used for the identification of risk factors for postoperative sleep disturbance. The receiver operating characteristic (ROC) curve was plotted to evaluate the regression model. Of the 290 eligible patients, 193 (133 women) were included in the study. There was a 60.6% prevalence of preoperative sleep disturbance. The CPSQI score increased significantly at 2weeks postoperatively compared to preoperative baseline, but appeared to decrease at 4weeks postoperatively. Multivariate logistic regression analysis showed that pain (VAS score: OR = 1.202 [95% CI = 1.002-1.446, P < 0.05]), daytime sleepiness (CESS score: OR = 1.134 [95% CI = 1.015-1.267, P < 0.05]) and anxiety (ZSAS score: OR = 1.396 [95% CI = 1.184-1.645, P < 0.001]) were risk factors associated with postoperative sleep disturbance at 2weeks. The ROC curve showed that the AUC was 0.762, the sensitivity was 83.19% and the specificity was 64.86%. Postoperative sleep disturbance is highly prevalent in the first 2weeks after THA. The risk prediction model constructed according to the above factors has good discriminant ability for the risk prediction of sleep disturbance after THA. The use of this risk prediction model can improve the recognition of patients and medical providers and has good ability to guide clinical nursing observation and early screening of sleep disturbance after THA.

Prevalence of sleep disturbance in patients with ankylosing spondylitis: a systematic review and meta-analysis

BackgroundAnkylosing Spondylitis (AS) patients face several challenges due to the nature of the disease and its physical and psychological complications. Sleep disorders are among the most important concerns. Sleep disorders can aggravate the signs and symptoms of the disease and ultimately reduce the quality of patients’ lives. This study uses a systematic review and meta-analysis to pool the reported prevalence of sleep disorders among AS patients.MethodsTo find related studies, the WoS, PubMed, ScienceDirect, Scopus, Embase, and Google Scholar databases were systematically searched without a lower time limit. Heterogeneity among the identified studies was checked using the I2 index, and the Begg and Mazumdar correlation test examined the existence of published bias. Comprehensive Meta-Analysis (v.2) software was adopted to analyze the data.ResultsIn the review of 18 studies with a sample size of 5,840, the overall pooled prevalence of sleep disorders among AS patients based on the random effects method was found to be 53% (95% CI: 44.9–61). The highest and lowest prevalence was in Egypt at 90% and Australia at 19.2%, respectively. Our meta-regression results show that with the increase in ‘sample size’ and ‘year of publication’, the overall prevalence of sleep disorders in patients with AS decreases (p < 0.05).ConclusionThe results of the present study indicate a high and significant prevalence of sleep disorders among AS patients. Thus, health policymakers and healthcare providers must focus on timely diagnosis and effective educational and therapeutic interventions for the prevention and proper treatment of sleep disorders in this population of patients.

Efficacy of mind-body therapies for sleep disturbance in patients with early-stage cancer: A systematic review and network meta-analysis.

To evaluate and compare the efficacy of different mind-body therapies (MBTs) for sleep disturbance in patients with early-stage cancer. Randomised controlled trials that included patients (aged ≥18years) with early stage cancer who underwent MBTs (mindfulness, hypnosis, relaxation, yoga, and qigong) were searched in the CINAHL via the EBSCO Host, Cochrane Library, Embase, MEDLINE, PsycINFO, PubMed, and Scopus databases, from the date of database inception to October 2022. The outcomes were subjective sleep disturbance and objective sleep efficiency. Network meta-analysis (NMA) and comparative effects ranking were performed using STATA (v14.0; STATACorp, College Station, TX, USA). Forty-seven studies investigating five MBTs were included in the NMA. For cancer patients receiving active treatment, mindfulness demonstrated the largest effect size in reducing subjective sleep disturbance (standardised mean difference [SMD]: 0.85; 95% confidence intervals [CI]: 0.20-1.50; Grading of Recommendations Assessment, Development, and Evaluation assessment: moderate), and had the highest cumulative probability compared to usual care or waitlist. For cancer patients who had completed active treatment, qigong demonstrated the largest effect size in reducing subjective sleep disturbance (SMD: 0.99; 95% CI: 0.35-1.63; GRADE: low), followed by hypnosis (SMD: 0.87; 95% CI: 0.32-1.42; GRADE: moderate), and mindfulness (SMD: 0.42; 95% CI: 0.24-0.59; GRADE: moderate). Qigong also demonstrated the largest effect size in improving objective sleep efficiency (weighted mean differences: 10.76; 95% CI: 2.01-19.50; GRADE: low); however, the effect of qigong was tested in only one study in this NMA. Among the eight different treatment conditions, cognitive behavioral therapy (CBT) showed the highest cumulative probability (surface under the cumulative ranking curve: 96.3%) in reducing subjective sleep disturbance and the second highest cumulative probability (SUCRA: 83.3%) in improving objective sleep efficiency. There is no evidence supporting the use of MBTs to replace or be comparable to CBT. Mindfulness can be recommended as an optional treatment for reducing sleep disturbance in patients with early-stage cancer. Some support was observed for qigong and hypnosis in reducing sleep disturbances in patients with early-stage cancer who had completed active treatment. More rigorous trials are warranted to confirm whether different forms of MBTs have different effects on sleep in patients with cancer.

Sleep disturbances in patients with psoriatic arthritis

Introduction/ObjectivesTo study quality of sleep in patients with psoriatic arthritis (PsA) and to investigate the association of sleep disturbances with other variables. Methodology and methodsPatients ≥18 years old with a diagnosis of PsA (CASPAR criteria). Sociodemographic and clinical data, physical exam. For each case, an age-sex matched control was included. The Pittsburgh Sleep Quality Index (PSQI) and the Patient Health Questionnaire-9 (PHQ-9) for depression were administered to both patients with PsA and controls. Statistical analysisDescriptive statistics. Univariate and multivariate analysis. Spearman correlation. Linear and multiple logistic regression. Results36 patients with PsA and 37 controls, 52.8% male, median age 57 years. Median PsA disease duration of 11 years. The ICSP was higher in patients with PsA than in controls (7.8±4.1 vs. 4.6±2.9, respectively, p<.001). A total of 27 patients (64.3%) presented sleep disturbances (ICSP≥5) vs. 15 controls (35.7%), p=.004. The presence of sleep disturbance in patients with PsA was associated with higher pain (6.5±2.4mm vs. 3.4±3.1mm, p=.01) and greater depression (PHQ-9 18 vs. 9, p=.05). The ICSP questionnaire correlated positively with PHQ-9, pain, night pain, MASES, PsAQoL, and DAPSA. In the linear regression analysis, both pain (β: .44, p=.01) and depression (β: .38, p=.03) were independently associated with sleep disorders. And in multiple logistic regression, the only variable independently associated with ICSP≥5 was pain (OR: 1.64, p=.023). ConclusionsMore than 60% of patients with PsA have sleep disturbance and the variables independently associated with it are pain and depression.

Inadequate sleep as a limiting factor in achieving remission in patients with rheumatoid arthritis

IntroductionGood sleep has a restorative effect at the cellular level and helps maintain the body's homeostasis. ObjectivesGiven our clinical experiences, we propose that sleep quality should be evaluated in patients with rheumatoid arthritis. Poor sleep quality should be considered as a factor that may impact clinical outcomes in patients with rheumatoid arthritis. Materials and methodsWe researched medical literature on clinical and physiological pathways associated with sleep quality. ResultsThere is evidence that interleukin-6 and tumor necrosis factor have a role in inflammatory and immune imbalance as well as in sleep disturbance in patients with rheumatoid arthritis, which leads to the chronic inflammatory process seen in these patients. Most patients with rheumatoid arthritis report sleep problems, be it insomnia or other complaints of non-refreshing sleep. Lack of sleep or poor sleep patterns in these patients further compromise their quality of life. In patients with RA, aetiologies such as restless leg syndrome (RLS), sleep apnoea syndrome, and Temporomandibular Joint Dysfunction (TMJ) syndromes might contribute to sleep disturbances. This lack of restful sleep might limit our goal, as treating physicians, to achieve remission states in these patients. ConclusionsIt is our opinion that sleep quality evaluation must be addressed, monitored, and treated as part of the management of patients with RA. Bad sleep adds an additional burden to disease activity in patients with RA, besides, it limits patients’ possibility of achieving disease remission.

Sleep disturbances in patients with psoriatic arthritis

Introduction/ObjectivesTo study quality of sleep in patients with psoriatic arthritis (PsA) and to investigate the association of sleep disturbances with other variables. Methodology and methodsPatients ≥18 years old with a diagnosis of PsA (CASPAR criteria). Sociodemographic and clinical data, physical exam. For each case, an age-sex matched control was included. The Pittsburgh Sleep Quality Index (PSQI) and the Patient Health Questionnaire-9 (PHQ-9) for depression were administered to both patients with PsA and controls. Statistical analysisDescriptive statistics. Univariate and multivariate analysis. Spearman correlation. Linear and multiple logistic regression. Results36 patients with PsA and 37 controls, 52.8% male, median age 57 years. Median PsA disease duration of 11 years. The ICSP was higher in patients with PsA than in controls (7.8±4.1 vs. 4.6±2.9, respectively, p<.001). A total of 27 patients (64.3%) presented sleep disturbances (ICSP≥5) vs. 15 controls (35.7%), p=.004. The presence of sleep disturbance in patients with PsA was associated with higher pain (6.5±2.4mm vs. 3.4±3.1mm, p=.01) and greater depression (PHQ-9 18 vs. 9, p=.05). The ICSP questionnaire correlated positively with PHQ-9, pain, night pain, MASES, PsAQoL, and DAPSA. In the linear regression analysis, both pain (β: .44, p=.01) and depression (β: .38, p=.03) were independently associated with sleep disorders. And in multiple logistic regression, the only variable independently associated with ICSP≥5 was pain (OR: 1.64, p=.023). ConclusionsMore than 60% of patients with PsA have sleep disturbance and the variables independently associated with it are pain and depression.

Prevalence of sleep disturbance in patients with cervical radiculopathy and an analysis of risk factors: a cross-sectional study.

Previous research has shown that many patients with musculoskeletal diseases suffer from sleep disturbances. However, the sleep quality of patients with cervical radiculopathy (CR) has yet to be fully investigated. This study aims to investigate the prevalence and status of sleep disturbances in patients with CR and identify the mechanisms and risk factors associated with this condition. We conducted a cross-sectional study of patients diagnosed with CR. The Pittsburgh Sleep Quality Index (PSQI) and Insomnia Severity Index (ISI) were used to evaluate the sleep quality of patients and determine whether patients experience sleep disturbances. In addition, we analyzed the clinical and radiological risk factors of sleep disturbance and determined the key risk factors related to sleep disturbance by multivariable analysis. According to specific inclusion and exclusion criteria, 186 patients with CR were finally included, with a mean age of 59.1 ± 14.3years, of which 113 (60.8%) were female. Sleep disturbance was defined as a PSQI score ≥ 6 and was identified in 56.5% of patients (105/186). By performing multivariate analysis, we determined that sleep disturbance was closely related to the female gender, a higher Beck Depression Inventory (BDI) score, a reduction in cervical mobility, an increase in C2-C7 sagittal vertical axis (C2-C7 SVA), and severe asymmetry of the paravertebral muscle at C5 and C6 levels. In this study, we identified the high prevalence and potential high-risk factors of sleep disturbance in patients with CR. Clinicians should closely evaluate and monitor such patients and consider appropriate treatment strategies. IV.

TRPV1 is a risk factor for sleep disturbance in patients with gastro-oesophageal reflux disease: a case control study

Background/aims Gastro-oesophageal reflux disease (GORD) is a chronic high-morbidity disease with a bidirectional relationship with sleep disturbance (SD) that may occur via the transient receptor potential vanilloid type 1 receptor (TRPV1) in the oesophageal mucosa. Yet the related mechanism was still unclear, the aim of this study is to investigate whether TRPV1 is associated with the presence of SD in GORD patients. Methods A case-control study was performed. After the screening, A total of 88 subjects were assigned to GORD without sleep disturbance (GORD + NOSD, n = 28), GORD comorbid sleep disturbance (GORD + SD, n = 30) and matched healthy controls (n = 30). Mucosal tissue was obtained from the participants by digestive endoscopy, the levels of TRPV1 expressed in the oesophageal mucosa were detected via RT-qPCR and western blot in different groups, and the correlation between GORD and SD were also analysed. Results In this study, we found that the Gastroesophageal Reflux Disease Diagnostic Questionnaire (GerdQ) scores was positively correlated with Pittsburgh Sleep Quality Index (PSQI) scores but negatively correlated with total sleep time (TST). We also found that the level of TRPV1 expressed in the oesophageal mucosa of GORD + SD was significantly higher than GORD + NOSD patients, and they were all higher than healthy controls. Conclusion The current study suggested a closer link exists between GORD and sleep disturbance, and TRPV1 in oesophageal mucosa may be a crucial factor affecting sleep in GORD patients.

Effect of short-term mindfulness-based stress reduction on sleep quality in male patients with alcohol use disorder.

Sleep disturbance is one of the most prominent complaints of patients with alcohol use disorder (AUD), with more than 70% of patients with AUD reporting an inability to resolve sleep problems during abstinence. Mindfulness-based stress reduction (MBSR) has been shown to improve sleep quality and as an alternative therapy to hypnotics for sleep disorders. The aim of the present study was to evaluate the effect of short-term MBSR on sleep quality in male patients with AUD after withdrawal. A total of 91 male patients with AUD after 2 weeks of routine withdrawal therapy were randomly divided into two groups using a coin toss: the treatment group (n = 50) and the control group (n = 41). The control group was received supportive therapy, and the intervention group added with MBSR for 2 weeks on the basis of supportive therapy. Objective sleep quality was measured at baseline and 2 weeks after treatment using the cardiopulmonary coupling (CPC). Indicators related to sleep quality include total sleep time, stable sleep time, unstable sleep time, rapid eye movement (REM) sleep time, wake-up time, stable sleep latency, sleep efficiency, and apnea index. These indicators were compared by an analysis of covariance (ANCOVA) between the two groups, controlling for individual differences in the respective measures at baseline. The results showed that there were no significant differences in the age [t (89) = -0.541, P = 0.590), BMI [t (89) = -0.925, P = 0.357], educational status [t (89) = 1.802, P = 0.076], years of drinking [t (89) = -0.472, P = 0.638), daily intake [t (89) = 0.892, P = 0.376], types of alcohol [χ2 (1) = 0.071, P = 0.789], scores of CIWA-AR [t (89) = 0.595, P = 0.554], scores of SDS [t (89) = -1.151, P = 0.253), or scores of SAS [t (89) = -1.209, P = 0.230] between the two groups. Moreover, compared with the control group, the total sleep time [F (1.88) = 4.788, P = 0.031) and stable sleep time [F (1.88) = 6.975, P = 0.010] were significantly increased in the treatment group. Furthermore, the average apnea index in the patients who received MBSR was significantly decreased than in the control group [F (1.88) = 5.284, P = 0.024]. These results suggest that short-term MBSR could improve sleep quality and may serve as an alternative treatment to hypnotics for sleep disturbance in patients with AUD after withdrawal.

Associations between metabolic disorders and sleep disturbance in patients with schizophrenia

BackgroundSleep disturbance plays a crucial role in mental illness and metabolic dysregulation. However, the clinical correlates of metabolic disorders (MD, only meeting 1 or 2 metabolic syndrome standards) and its relationship to sleep disturbance in patients with schizophrenia are uncertain. The study was to illuminate the association between MD and sleep disturbance in patients with schizophrenia. MethodsOne hundred and sixty-four patients with schizophrenia (157 drug-naive and 7 drug-free) were classified into 2 groups: MD and non-MD. The Pittsburgh Sleep Quality Index (PSQI) and the Positive and Negative Symptom Scale (PANSS) were employed to assess sleep quality and clinical symptoms. Weight, height, waistline, blood pressure, fasting glucose, and lipid metabolic levels were recorded. ResultsSleep disturbance was more pronounced in the MD group compared to the non-MD group, including subjective sleep quality (z = −4.074, p = 0.000), sleep latency (z = −3.867, p = 0.000), sleep duration (z = −2.471, p = 0.013) and total scores (z = −3.074, p = 0.002). After controlling for confounding factors including age, sex, body mass index, smoking, marital status, and duration of illness, binary logistics regression showed that subjective sleep quality (p = 0.034) and sleep latency (p = 0.034) were significant independent predictors of MD. Further, partial correlation analysis showed that sleep latency (r = −0.200, p = 0.011) was significantly negatively correlated with HDLC. ConclusionOur study suggests a high rate of MD in patients with schizophrenia, most of who were drug-naive, in a Chinese population. Longer sleep latency is associated with MD in schizophrenia patients, suggesting an important role of sleep disturbance in the development of MD in patients with schizophrenia. Interventions to improve sleep quality may prevent MD in patients with schizophrenia at an early stage.

Association between serum trace elements and sleep disturbance in patients with decompensated cirrhosis.

Sleep disturbance and trace elements imbalance are common features in patients with decompensated cirrhosis, partially sharing similar mechanistic contributors and linking to adverse outcomes. However, there is a paucity of data concerning their relationship. To investigate the association between serum trace elements levels and sleep quality in the context of cirrhosis. Cross-sectional study. We consecutively enrolled 160 patients with decompensated cirrhosis. The sleep disturbance was determined by the Pittsburgh Sleep Quality Index (PSQI > 5). Serum trace elements [magnesium, calcium, iron, copper (Cu), zinc (Zn), lead, and manganese] was measured by inductively coupled plasma mass spectrometry. Association of examined trace elements levels and sleep disturbance was analyzed by multiple linear (global PSQI scores) and multivariate logistic (dichotomized PSQI categories) regression models, respectively. In total, 91 patients (56.88%) represented PSQI-defined sleep disturbance, characterized by female preponderance, lower body mass index levels, and higher serum Cu levels (all p < 0.05). Looking into its clinical relevance with debilitating conditions, we showed that Cu/Zn ratio (CZr) is significantly higher in cirrhosis with poor sleep quality (1.77 versus 1.48, p = 0.003). Diagnostic performance analysis indicated CZr > 1.62 to exhibit better discrimination relative to respective Cu. Both multiple linear (β = 0.355, p < 0.001) and multivariate logistic regression (odds ratio = 2.364, p = 0.019) identified higher CZr as an independent risk factor associated with sleep disturbance. Our findings implied an association between higher CZr and the presence of sleep disturbance in patients with decompensated cirrhosis.

Decreased cerebrospinal fluid orexin levels not associated with clinical sleep disturbance in Parkinson's disease: A retrospective study.

Patients with Parkinson's disease (PD) often suffer from sleep disturbances, including excessive daytime sleepiness (EDS) and rapid eye movement sleep behavior disorder (RBD). These symptoms are also experienced by patients with narcolepsy, which is characterized by orexin neuronal loss. In PD, a decrease in orexin neurons is observed pathologically, but the association between sleep disturbance in PD and cerebrospinal fluid (CSF) orexin levels is still unclear. This study aimed to clarify the role of orexin as a biomarker in patients with PD. CSF samples were obtained from a previous cohort study conducted between 2015 and 2020. We cross-sectionally and longitudinally examined the association between CSF orexin levels, sleep, and clinical characteristics. We analyzed 78 CSF samples from 58 patients with PD and 21 samples from controls. CSF orexin levels in patients with PD (median = 272.0 [interquartile range = 221.7-334.5] pg/mL) were lower than those in controls (352.2 [296.2-399.5] pg/mL, p = 0.007). There were no significant differences in CSF orexin levels according to EDS, RBD, or the use of dopamine agonists. Moreover, no significant correlation was observed between CSF orexin levels and clinical characteristics by multiple linear regression analysis. Furthermore, the longitudinal changes in orexin levels were also not correlated with clinical characteristics. This study showed decreased CSF orexin levels in patients with PD, but these levels did not show any correlation with any clinical characteristics. Our results suggest the limited efficacy of CSF orexin levels as a biomarker for PD, and that sleep disturbances may also be affected by dysfunction of the nervous system other than orexin, or by dopaminergic treatments in PD. Understanding the reciprocal role of orexin among other neurotransmitters may provide a better treatment strategy for sleep disturbance in patients with PD.

Changes in Sleep Problems in Patients Who Underwent Surgical Treatment for Degenerative Spinal Disease with a Concurrent Sleep Disorder: A Nationwide Cohort Study in 3183 Patients during a Two-Year Perioperative Period.

Sleep disturbance is prevalent in patients with degenerative spinal disease, and recent studies have reported that surgical treatment is more effective for improving sleep quality than conservative treatment. We aimed to investigate the perioperative changes of sleep problems in patients who underwent surgical treatment for degenerative spinal disease with a concurrent sleep disorder, and presented them according to various clinical profiles possibly associated with sleep disturbance. In addition, we identified factors associated with poor sleep improvement after surgery. This study used data from the Korea Health Insurance Review and Assessment Service database from 2016 to 2018. We included 3183 patients aged ≥19 years who underwent surgery for degenerative spinal disease and had a concurrent sleep disorder. Perioperative changes in the two target outcomes, including the use of sleep medication and hospital visits owing to sleep disorders, were precisely investigated according to factors known to be associated with sleep disturbance, including demographics, comorbidities, and spinal regions. Logistic regression analysis was performed to identify factors associated with poor improvement in terms of sleep medication after surgery. All estimates were validated using bootstrap sampling. During the 1-year preoperative period, the use of sleep medications and hospital visits owing to sleep disorder increased continuously. However, they abruptly decreased shortly after surgical treatment, and throughout the 1-year postoperative period, they remained lower than those in the late preoperative period. At the 1-year follow-up, 75.6% (2407 of 3183) of our cohort showed improvement in sleep medication after surgery. Multivariable analysis identified only two variables as significant factors associated with non-improvement in sleep medication after surgery: depressive disorder (odds ratio (OR) = 1.25 [1.06-1.48]; p = 0.008), and migraine (OR = 1.42 [1.04-1.94]; p = 0.028). We could not investigate the actual sleep quality and resultant quality of life; however, our results justify the necessity for further high-quality studies that include such information and would arouse clinicians' attention to the importance of sleep disturbance in patients with degenerative spinal disease.

Characteristics of Sleep Disturbance in Patients with Long COVID: A Retrospective Observational Study in Japan.

The objective of this study was to determine the clinical and endocrinological features of sleep disturbance in patients with long COVID. This study was a single-center retrospective observational study for patients who visited the COVID-19 aftercare outpatient clinic (CAC) established in Okayama University Hospital in Japan during the period from 15 February 2021 to 29 July 2022. The long COVID patients were divided into two groups based on the presence or absence of sleep disturbance, and the clinical and laboratory characteristics of the patients were analyzed. Out of 363 patients with long COVID, after excluding 6 patients, 60 patients (16.5%) (55% males, median age of 38 years) complaining of sleep disturbance were compared with 303 patients (83.5%) (43% males, median age of 40 years) without sleep-related symptoms. Although there were no significant differences in clinical backgrounds and severities of COVID-19 between the two groups by the multivariate analysis, the percentage of long COVID patients with sleep disturbance was significantly increased among patients infected in the Omicron-dominant phase. In addition, the prevalence rate of sleep disturbance in patients when infected in the Omicron phase (24.8%) was two-times higher than that in patients infected in the Delta phase (12.8%). Of note, the percentages of patients with sleep disturbance who also complained of general fatigue, headache, concentration loss, anxiety, low-grade fever, and brain fog symptoms were higher than the percentages of patients without sleep disturbance who had the same complaints. Among the types of sleep disturbance, the percentage of patients who complained of loss of sleep induction (75%) was much higher than the percentage of patients with early-awakening sleep disturbance (6.7%), and many of the patients with mid-awakening types of insomnia had brain fog symptoms. Endocrine examinations revealed that long COVID patients with sleep disturbance had significantly higher levels of plasma adrenocorticotropin and lower levels of serum growth hormone, suggesting the presence of hypothalamic-pituitary stress. The prevalence of sleep disturbance has been increasing in long COVID patients infected in the Omicron phase with a certain clinical and endocrine trend.

Prevalence of Sleep Disturbance and Its Risk Factors in Patients Who Undergo Surgical Treatment for Degenerative Spinal Disease: A Nationwide Study of 106,837 Patients.

Spinal surgeons have not yet considered sleep disturbance an area of concern; thus, a comprehensive study investigating the epidemiology of sleep disturbance in patients with degenerative spinal disease is yet to be conducted. This study aimed to fill this research gap by investigating the epidemiology of sleep disturbance in patients who underwent spinal surgery for degenerative spinal disease and identifying the associated risk factors. This nationwide, population-based, cohort study, used data from January 2016 and December 2018 from the Korea Health Insurance Review and Assessment Service database. This study included 106,837 patients older than 19 years who underwent surgery for degenerative spinal disease. Sleep disorder was initially defined as a diagnosis of a sleep disorder made within one year before the index surgery and identified using the International Classification of Diseases, 10th revision, codes F51 and G47 (main analysis). We also investigated the use of sleep medication within 90 days prior to the index surgery, which was the target outcome of the sensitivity analysis. The prevalence of sleep disturbance was precisely investigated according to various factors, including demographics, comorbidities, and spinal region. Logistic regression analysis was performed to identify the independent factors associated with sleep disturbance. The results of the statistical analysis were validated using sensitivity analysis and bootstrap sampling. The prevalence of sleep disorder was 5.5% (n = 5847) in our cohort. During the 90 days before spinal surgery, sleep medication was used for over four weeks in 5.5% (n = 5864) and over eight weeks in 3.8% (n = 4009) of the cohort. Although the prevalence of sleep disturbance differed according to the spinal region, the spinal region was not a significant risk factor for sleep disorder in multivariable analysis. We also identified four groups of independent risk factors: (1) Age, (2) other demographic factors and general comorbidities, (3) neuropsychiatric disorders, and (4) osteoarthritis of the extremities. Our results, including the prevalence rates of sleep disturbance in the entire patient population and the identified risk factors, provide clinicians with a reasonable reference for evaluating sleep disturbance in patients with degenerative spinal disease and future research.