Sleep disturbances after cerebral infarction: role of depression and fatigue

Lower motor performance is linked with poor sleep quality, depressive symptoms, and grey matter volume alterations

Motor performance (MP) is essential for functional independence and well-being, particularly in later life. However, the relationship between behavioural aspects such as sleep quality and depressive symptoms, which contribute to MP, and the underlying structural brain substrates of their interplay remains unclear. This study used three population-based cohorts of younger and older adults (n=1,950) from the Human Connectome Project-Young Adult (HCP-YA), HCP-Aging (HCP-A), and enhanced Nathan Kline Institute-Rockland sample (eNKI-RS). Several canonical correlation analyses were computed within a machine learning framework to assess the associations between each of the three domains (sleep quality, depressive symptoms, grey matter volume (GMV)) and MP. The HCP-YA analyses showed progressively stronger associations between MP and each domain: depressive symptoms (unexpectedly positive, r=0.13, SD=0.06), sleep quality (r=0.17, SD=0.05), and GMV (r=0.19, SD=0.06). Combining sleep and depressive symptoms significantly improved the canonical correlations (r=0.25, SD=0.05), while the addition of GMV exhibited no further increase (r=0.23, SD=0.06). In young adults, better sleep quality, mild depressive symptoms, and GMV of several brain regions were associated with better MP. This was conceptually replicated in young adults from the eNKI-RS cohort. In HCP-Aging, better sleep quality, fewer depressive symptoms, and increased GMV were associated with MP. Robust multivariate associations were observed between sleep quality, depressive symptoms and GMV with MP, as well as age-related variations in these factors. Future studies should further explore these associations and consider interventions targeting sleep and mental health to test the potential effects on MP across the lifespan.

Predictors of sleep quality components in patients undergoing transarterial chemoembolisation: a cross-sectional study

PURPOSE

Patients undergoing transarterial chemoembolisation experience postembolisation symptoms and interferences affecting sleep quality, which require intervention. The study aimed to identify the predictors of sleep quality components in patients undergoing transarterial chemoembolisation.

METHODS

This study included two groups of participants: 50 patients undergoing transarterial chemoembolisation and 45 nurses caring for them. Data were collected from September to November 2022 using a structured questionnaire, and analysed using descriptive statistics, the t-test, analysis of variance, Spearman's rank correlation, and multiple regression analysis using the SPSS 27.0 program (IBM Corp., Armonk, NY, USA).

RESULTS

The mean sleep quality score was 40.28±14.10. Heat sensation (t=-2.08, p=.043) and fatigue (t=-4.47, p<.001) predicted sleep fragmentation in 38.6% of the patients. Abdominal pain (t=-2.54, p=.014), vomiting (t=-2.21, p=.032), and the expected fatigue by the nurses (t=2.68, p=.014) predicted sleep length in 41.7% of patients. Abdominal pain (t=-2.05, p=.046) explained 42.9% of sleep depth.

CONCLUSION

Based on the predictors of sleep quality components obtained in this study, strategies to improve sleep quality tailored to patients undergoing transarterial chemoembolisation should be developed. This study highlighted the need to bridge the gap between patients' and nurses' expected fatigue and its contribution to sleep fragmentation and sleep length. It also highlighted the importance of noncontact temperature measurement, controlling vomiting, and pain relief for improving sleep length in patients undergoing transarterial chemoembolisation.

The Diagnostic Value of Gut Microbiota Analysis for Post-Stroke Sleep Disorders

BACKGROUND

Gut microbiota have been associated with many psychiatric disorders. However, the changes in the composition of gut microbiota in patients with post-stroke sleep disorders (PSSDs) remain unclear. Here, we determined the gut microbial signature of PSSD patients.

METHODS

Fecal samples of 205 patients with ischemic stroke were collected within 24 h of admission and were further analyzed using 16 s RNA gene sequencing followed by bioinformatic analysis. The diversity, community composition, and differential microbes of gut microbiota were assessed. The outcome of sleep disorders was determined by the Pittsburgh Sleep Quality Index (PSQI) at 3 months after admission. The diagnostic performance of microbial characteristics in predicting PSSDs was assessed by receiver operating characteristic (ROC) curves.

RESULTS

Our results showed that the composition and structure of microbiota in patients with PSSDs were different from those without sleep disorders (PSNSDs). Moreover, the linear discriminant analysis effect size (LEfSe) showed significant differences in gut-associated bacteria, such as species of Streptococcus, Granulicatella, Dielma, Blautia, Paeniclostridium, and Sutterella. We further managed to identify the optimal microbiota signature and revealed that the predictive model with eight operational-taxonomic-unit-based biomarkers achieved a high accuracy in PSSD prediction (AUC = 0.768). Blautia and Streptococcus were considered to be the key microbiome signatures for patients with PSSD.

CONCLUSIONS

These findings indicated that a specific gut microbial signature was an important predictor of PSSDs, which highlighted the potential of microbiota as a promising biomarker for detecting PSSD patients.

Self-reported cognitive and psychiatric symptoms at 3 months predict single-item measures of fatigue and daytime sleep 12 months after ischemic stroke

Introduction

Post-stroke fatigue and increased need for daytime sleep are multidimensional and insufficiently understood sequelae. Our aim was to study the relationships of self-reported cognitive and psychiatric symptoms at 3 months with fatigue and daytime sleep at 12 months post-stroke.

Methods

Ischemic stroke patients without reported history of dementia or depression completed postal surveys 3- and 12-months post-stroke. At 3 months, psychiatric symptoms were assessed with the Hospital Anxiety and Depression Scale (HADS), and self-reported changes in cognitive symptoms (concentration and memory) compared to pre-stroke were assessed using single-item measures. At 12 months, single-item questions about changes in self-reported difficulties sleeping at night, fatigue and daytime sleep were included. First, we studied whether self-reported cognitive and/or psychiatric symptoms at 3 months were associated with daytime sleep and fatigue at 12 months using multiple logistic regression. Second, we fitted 2 structural equation models (SEMs) predicting fatigue and 2 models predicting daytime sleep. We compared a model where only age, sex, stroke severity (National Institutes of Health Stroke Scale; NIHSS), and difficulties sleeping at night predicted fatigue and daytime sleep at 12 months to a model where mental distress (i.e., a latent variable built of cognitive and psychiatric symptoms) was included as an additional predictor of fatigue and daytime sleep at 12 months.

Results

Of 156 patients (NIHSS within 24 hours after admission (mean ± SD) = 3.6 ± 4.3, age = 73.0 ± 10.8, 41% female) 37.9% reported increased daytime sleep and 50.0% fatigue at 12 months. Increased psychiatric symptoms and worsened cognitive symptoms were associated with fatigue and daytime sleep at 12 months, after controlling for NIHSS, age, sex, and difficulties sleeping at night. SEM models including mental distress as predictor showed adequate model fit across 3 fit measures (highest RMSEA = 0.063, lowest CFI and TLI, both 0.975). Models without mental distress were not supported.

Conclusion

Self-reported cognitive and psychiatric symptoms at 3 months predict increased daytime sleep and fatigue at 12 months. This highlights the relevance of monitoring cognitive and psychiatric symptoms in the subacute phase post-stroke. However, future research using validated measures of self-reported symptoms are needed to further explore these relationships.

Sleep in hospitalized pediatric and adult patients – A systematic review and meta-analysis

Background

Sleep is essential for recovery from illness. As a result, researchers have shown a growing interest in the sleep of hospitalized patients. Although many studies have been conducted over the past years, an up to date systematic review of the results is missing.

Objective

The objective of this systematic review was to assess sleep quality and quantity of hospitalized patients and sleep disturbing factors.

Methods

A systematic literature search was conducted within four scientific databases. The search focused on synonyms of 'sleep’ and 'hospitalization’. Papers written in English or Dutch from inception to April 25th,2022 were included for hospitalized patients >1 year of age. Papers exclusively reporting about patients receiving palliative, obstetric or psychiatric care were excluded, as well as patients in rehabilitation and intensive care settings, and long-term hospitalized geriatric patients. This review was performed in accordance with the PRISMA guidelines.

Results

Out of 542 full text studies assessed for eligibility, 203 were included, describing sleep quality and/or quantity of 17,964 patients. The median sample size of the studies was 51 patients (IQR 67, range 6–1472). An exploratory meta-analysis of the Total Sleep Time showed an average of 7.2 h (95%-CI 4.3, 10.2) in hospitalized children, 5.7 h (95%-CI 4.8, 6.7) in adults and 5.8 h (95%-CI 5.3, 6.4) in older patients (>60y). In addition, a meta-analysis of the Wake After Sleep Onset (WASO) showed a combined high average of 1.8 h (95%-CI 0.7, 2.9). Overall sleep quality was poor, also due to nocturnal awakenings. The most frequently cited external factors for poor sleep were noise and number of patients in the room. Among the variety of internal/disease-related factors, pain and anxiety were most frequently mentioned to be associated with poor sleep.

Conclusion

Of all studies, 76% reported poor sleep quality and insufficient sleep duration in hospitalized patients. Children sleep on average 0.7–3.8 h less in the hospital than recommended. Hospitalized adults sleep 1.3–3.2 h less than recommended for healthy people. This underscores the need for interventions to improve sleep during hospitalization to support recovery.

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An overview of the magnitude of sleep deprivation in hospitalized patients.

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A meta-analysis of studies reporting on some of the main sleep outcomes.

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An overview of internal and external factors affecting sleep in hospitalized patients.

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Guidance for potential interventions to improve sleep during clinical admission.

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Uncovers a knowledge gap regarding the sleep quality of hospitalized children and daytime sleep of hospitalized adults.

Association of Lesion Location and Fatigue Symptoms After Ischemic Stroke: A VLSM Study

Background:

Poststroke fatigue (PSF) is a common symptom in stroke survivors, yet its anatomical mechanism is unclear. Our study was aimed to identify which brain lesions are related to the PSF in patients with acute stroke.

Method

Patients with first-ever acute ischemic stroke consecutively admitted from the first affiliated hospital of the University of Science and Technology of China (USTC) between January 2017 and June 2020. Fatigue was scored using the Fatigue Severity Scale. All the participants were assessed by 3.0 T brain MRI including diffusion-weighted imaging. The infarct lesions were delineated manually and transformed into a standard template. Voxel-based lesion-symptom mapping (VLSM) was applied to investigate the association between lesion location and the occurrence and severity of fatigue. The same analyses were carried out by flipping the left-sided lesions. Multivariate logistic regressions were applied to verify the associations.

Results

Of the 361 patients with acute stroke, 142 (39.3%) patients were diagnosed with fatigue in the acute phase and 116 (35.8%) at 6 months after the index stroke. VLSM analysis indicated clusters in the right thalamus which was significantly associated with the occurrence and severity of PSF at 6-month follow-up. In contrast, no significant cluster was found in the acute phase of stroke. The flipped analysis did not alter the results. Multivariate logistic regression verified that lesion load in the right thalamus (OR 2.67, 95% CI 1.46–4.88) was an independent predictor of 6-month PSF.

Conclusion

Our findings indicated that lesions in the right thalamus increased the risk of fatigue symptoms 6 months poststroke.

Prevalence of fatigue after stroke: A systematic review and meta-analysis

Background and Purpose

Post-stroke fatigue is a debilitating and long-lasting condition. However, there are uncertainties regarding its prevalence and variability between studies. This review aims to estimate the prevalence of fatigue and determine the factors responsible for its variation in the literature.

Methods

A systematic review was conducted for all published studies (search to November 2020) using AMED, CINAHL, EMBASE, MEDLINE, PsycINFO, SCOPUS and Web of Science. Papers were included if they recruited participants with stroke, used a validated scale to measure fatigue and were in English. Two reviewers screened and assessed the relevant studies for eligibility (n = 96). The included papers were appraised using the Joanna Briggs Institute (JBI) tool for prevalence studies, and data were extracted by one reviewer. To understand the variation in PSF prevalence between papers, data were pooled and analysed based on relevant methodological (e.g. time of assessment) or clinical factors (e.g. depression) using Review Manager 5.4 software.

Results

While 48 studies were included and summarised (N = 9004), only 35 were appropriate for the meta-analysis (N = 6851). The most frequently used tool to measure fatigue was the Fatigue Severity Scale (FSS) (n = 31). The prevalence was calculated with a cut-off point of four or more using FSS and resulted in an estimate of 48% (95% CI 42-53%). Time of assessment (<6 vs ≥6 months), stroke type (ischaemic vs haemorrhagic/subarachnoid haemorrhage) and geographical location (East Asia vs Europe) could explain the prevalence variation between studies.

Conclusions

Fatigue is prevalent among stroke survivors. This condition varies in terms of occurrence between studies; however, time of assessment, stroke type and geographical location might explain this variation. As this review estimates the overall burden of fatigue after stroke, it provides a useful indicator to inform policy, planning and healthcare professionals. Further efforts are required to investigate the mechanisms that lead to PSF, particularly in the groups that show high prevalence, in order to prevent or alleviate it.

Factors Associated with Benzodiazepines Prolonged-Term Use in Post-Stroke Subjective Sleep Disturbance: A Single-Centre Retrospective Study from China

Purpose

To investigate the prevalence of short- and long-term benzodiazepine and z-drugs (BZD) for the treatment of post-stroke subjective sleep disturbance (SSD) and to evaluate the risk factors associated with prolonged BZD treatment in this patient body.

Patients and Methods

Between 1st January 2018 and 1st December 2018, we identified 542 inpatients suffering from acute stroke in Heyuan People’s Hospital. Of these, 290 inpatients were included in our final analysis. These patients were divided into three groups according to the treatment they received: non/occasional BZD (non-BZD), short-term BZD (short-term) and prolonged-term BZD (prolonged-term) treatment. We investigated the prevalence of each BZD treatment term and identified differences between the groups. Univariate logistic regression analysis was used to identify potential predictors for the prolonged use of BZD. Multinomial logistic regression analysis was used to assess the correlation between the prolonged use of BZD and potential predictors.

Results

The prevalence of cases receiving short and prolonged BZD treatments were 40.35% and 31.72%, respectively; none of the patients received polysomnography (PSG) screening from obstructive sleep apnoea (OSP). Treatment strategies were limited to BZD and traditional Chinese medicine; none of the patients received cognitive-behavioral treatment (CBT) or other forms of treatment. Logistic regression analysis showed that the short-term use was associated with z-drugs (odds ratio [OR]: 2.189, 95% confidence interval [CI]: 1.419–3.378), non-communication barriers (OR =0.535, 95% CI: 0.325–0.880) and posterior circulation infarct (POCI) (OR =2.199, 95% CI: 1.112–4.349). The prolonged-term use was associated with z-drugs (OR =3.012, 95% CI: 1.637–5.542), non-communication barriers (OR =0.530, 95% CI: 0.307–0.916), partial anterior circulation infarct (PACI) (OR =0.455, 95% CI: 0.250–0.827), and non pain after stroke (OR =0.315, 95% CI: 0.207–0.480).

Conclusion

The status of BZD abuse for post-stroke SSD is worrying. Additional research attention and treatment options are needed for the treatment of post-stroke SSD. In particular, the potential combination of stroke and OSP appears to be underestimated and neglected. Post-stroke SSD patients should receive more comprehensive assessment and rigid follow-up to avoid the prolonged use of BZD. Additional and effective therapeutic strategies (such as positive pressure ventilation treatment or CBT) are urgently needed for cause-specific intervention.

Social support and sleep quality in patients with stroke: The mediating roles of depression and anxiety symptoms

BACKGROUND

Research has demonstrated that higher social support is associated with better psychological health, quality of life, cognition, activities of daily living and social participation, but the relationship between social support and sleep quality remains unknown.

AIMS

This study aimed to assess the incidence of poor sleep quality, clarify the relationship between social support and sleep quality amongst stroke patients and determine whether anxiety and depression symptoms mediate this relationship.

METHODS

We conducted a quantitative, cross-sectional study involving 238 patients with stroke (median age of 61 [range 29-87] years, 68.1% male) recruited from a comprehensive tertiary care hospital between September 2019 and January 2020. A self-administered, structured questionnaire was used for the survey. The mediating effect of anxiety and depression symptoms was assessed using the bootstrap method via Model 4 (parallel mediation) of the SPSS PROCESS macro.

RESULTS

Results showed that the incidence of poor sleep quality amongst stroke patients was 65%. Mediation analysis showed that social support exerted significant direct effects on sleep quality, and anxiety and depression symptoms mediated the relationship between social support and sleep quality.

CONCLUSION

Measures should be taken to enhance social support to improve the sleep quality of stroke patients.

SUMMARY STATEMENT

What is already known about this topic? Patients with stroke have a high rate of sleep disorders, anxiety and depression symptoms. Anxiety and depression symptoms have a negative effect on sleep quality. Social support may be an effective intervention to reduce anxiety and depression symptoms and improve sleep quality amongst stroke patients. What this paper adds? The incidence of poor sleep was high amongst stroke patients. Social support had a direct positive effect on sleep quality. Anxiety and depression symptoms played multiple mediating roles in the relationship between social support and sleep quality. The implications of this paper: Our study adds to the existing literature by clarifying how social support impacts the sleep quality of stroke patients. We suggested improving the sleep quality of stroke patients through enhancing social support and reducing anxiety and depression symptoms, especially in patients with low levels of social support.

Contribution of sleep quality to fatigue following a stroke: a cross-sectional study

BACKGROUND

The prevalence of fatigue and sleep disturbances is high in stroke populations. Sleep quality can be targeted by interventions to alleviate fatigue following a stroke. This study aimed to determine the prevalence of fatigue and poor sleep quality, and to quantify the contribution of sleep quality to fatigue following a stroke, in chronic (≥1 year) stroke survivors.

METHODS

A cross-sectional design was adopted. A total of 112 stroke survivors (mean age ± standard deviation [year], 64.18 ± 5.77) at 6.08 ± 4.80 years post-stroke completed this study. All participants were assessed using the Fatigue Assessment Scale, the Pittsburgh Sleep Quality Index, the Visual Analogue Scale-Pain, the Fugl-Meyer Assessment of the upper and lower extremities, the 5-Time Sit-To-Stand Test, the Epworth Sleepiness Scale, the Frenchay Activities Index, the Life-Space Assessment, the Community Integration Measure, and the Multidimensional Scale of Perceived Social Support. Pearson and partial correlation coefficients were used to examine the correlation between fatigue and other variables. A multiple linear regression (the forced entry method) was performed to quantify the independent contribution of sleep quality to prediction of fatigue.

RESULTS

Of the 112 participants, 52.7% reported experiencing fatigue and 64.3% reported poor sleep quality. Sleep quality could independently account for 5.9% of the variance in fatigue scores after a stroke.

CONCLUSIONS

There is a high prevalence of fatigue and poor sleep quality in Chinese stroke survivors. Sleep quality is an independent predictor of fatigue in those living in the community who have survived a stroke for a year or longer.

Brief Psychosocial Intervention to Address Poststroke Depression May Also Benefit Fatigue and Sleep-Wake Disturbance

PURPOSE

This study aimed to determine if brief psychosocial/behavioral therapy directed to reduce poststroke depression would decrease fatigue and improve sleep-wake disturbance.

DESIGN

A preplanned secondary data analysis from a completed clinical trial was conducted.

METHODS

One hundred participants received usual care, in-person intervention, or telephone intervention. Depression, fatigue, and sleep-wake disturbance were measured at entry, 8 weeks, 21 weeks, and 12 months following the intervention.

FINDINGS

Fatigue (within: p = .042, between: p = .394), sleep disturbance (within: p = .024, between: p = .102), and wake disturbance (within: p = .004, between: p = .508) decreased over the 12 months in the intervention groups, but not in the control group. This difference was clinically meaningful for wake disturbance and approached the clinically important difference for fatigue.

CONCLUSIONS/CLINICAL RELEVANCE

Reduction in wake disturbance was consistent with clinically meaningful difference standards for patient-reported outcomes, warranting further research in larger samples.

The efficacy of Qigong exercises for post-stroke mental disorders and sleep disorders: Protocol for a systematic review and meta-analysis

BACKGROUND

Post-stroke mental disorders (PSMDs) and post-stroke sleep disorders (PSSDs) are quite common condition in stroke's patients. Qigong has been widely applied as a replaced and useful treatment for PSMDs and PSSDs. However, the exact effects and safety of Qigong have yet be systematically investigated. Our study focused on summary of efficacy and safety of Qigong for the treatment of advanced PSMDs and PSSDs through the systematic analysis and meta-analysis, in order to provide scientific reference for the clinical.

METHODS

The protocol followed Preferred Reporting Items for Systematic Review and Meta-Analyses Protocols. Relevant randomized controlled trials were only considered. Search strategy will be performed in 4 English database including Cochrane Library, PubMed, Web of Science, Excerpt Medical Database, 4 Chinese Database including Chinese Biomedical Literature Database, China National Knowledge Infrastructure, China Scientific Journal Database, Wanfang Database, and WHO International Clinical Trials Registry Platform. Papers in English or Chinese published from their inception to 30 June 2020. Study selection and data extraction will be performed independently by 2 investigators. The clinical outcomes including overall Hamilton depression scale, Hamilton anxiety scale, the mental health part of the MOS item short from health survey, Generic Quality of Life Inventory-74, Center for Epidemiologic Studies Depression Scale, Pittsburgh sleep quality index. Based on the Cochrane Assessment tool and Physiotherapy Evidence Database scale, a modified assessment form should be used to evaluate the methodological quality. Review Manager 5.3 was used for data analysis and risk of bias.

RESULTS AND CONCLUSION

We provide some more practical and targeted results examine the effect of Qigong exercises for PSMDs and PSSDs in the relative meta-analysis. We find out defects or inadequacies of Qigong in previous studies. The findings of this research will provide more evidence-based guidance in clinical practice and more rigorous study.International Platform of Registered Systematic Review and Meta-Analysis Protocols (INPLASY) registration number: INPLASY202070051.

Stroke impact symptoms are associated with sleep-related impairment

BACKGROUND

Sleep-related impairment is a common but under-appreciated complication after stroke and may impede stroke recovery. Yet little is known about factors associated with sleep-related impairment after stroke.

OBJECTIVE

The purpose of this analysis was to examine the relationship between stroke impact symptoms and sleep-related impairment among stroke survivors.

METHODS

We conducted a cross-sectional secondary analysis of a baseline (entry) data in a completed clinical trial with 100 community-dwelling stroke survivors recruited within 4 months after stroke. Sleep-related impairment and stroke impact domain symptoms after stroke were assessed with the Patient-Reported Outcomes Measurement Information System Sleep-Related Impairment scale and the Stroke Impact Scale, respectively. A multivariate regression was computed.

RESULTS

Stroke impact domain-mood (B = -0.105, t = -3.263, p = .002) - and fatigue (B = 0.346, t = 3.997, p < .001) were associated with sleep-related impairment.

CONCLUSIONS

Our findings suggest that ongoing stroke impact symptoms are closely related to sleep-related impairment. An intervention targeting both stroke impact symptoms and sleep-related impairment may be useful in improving neurologic recovery and quality of life in stroke survivors.

Role of the L-PGDS-PGD2-DP1 receptor axis in sleep regulation and neurologic outcomes

To meet the new challenges of modern lifestyles, we often compromise a good night's sleep. In preclinical models as well as in humans, a chronic lack of sleep is reported to be among the leading causes of various physiologic, psychologic, and neurocognitive deficits. Thus far, various endogenous mediators have been implicated in inter-regulatory networks that collectively influence the sleep-wake cycle. One such mediator is the lipocalin-type prostaglandin D2 synthase (L-PGDS)-Prostaglandin D2 (PGD2)-DP1 receptor (L-PGDS-PGD2-DP1R) axis. Findings in preclinical models confirm that DP1R are predominantly expressed in the sleep-regulating centers. This finding led to the discovery that the L-PGDS-PGD2-DP1R axis is involved in sleep regulation. Furthermore, we showed that the L-PGDS-PGD2-DP1R axis is beneficial in protecting the brain from ischemic stroke. Protein sequence homology was also performed, and it was found that L-PGDS and DP1R share a high degree of homology between humans and rodents. Based on the preclinical and clinical data thus far pertaining to the role of the L-PGDS-PGD2-DP1R axis in sleep regulation and neurologic conditions, there is optimism that this axis may have a high translational potential in human therapeutics. Therefore, here the focus is to review the regulation of the homeostatic component of the sleep process with a special focus on the L-PGDS-PGD2-DP1R axis and the consequences of sleep deprivation on health outcomes. Furthermore, we discuss whether the pharmacological regulation of this axis could represent a tool to prevent sleep disturbances and potentially improve outcomes, especially in patients with acute brain injuries.

The estimation of excessive daytime sleepiness in post-stroke patients - a polysomnographic study

Excessive daytime sleepiness (EDS) has been reported in stroke patients. EDS in acute stroke was studied repeatedly, but there is a modest amount of data in post-stroke patients. The aim of this study was to assess the frequency of EDS and characterize sleep architecture in patients >3 months after stroke and identify factors which may affect EDS. 66 patients were enrolled, of which 33 had experienced stroke. All underwent a standardized overnight, diagnostic single night polysomnography, including electrocephalogram (EEG) leads, electrooculograms (EOG), chin electromyogram (EMG), and electrocardiogram (ECG). Epworth Sleepiness Scale (ESS) was used to measure subjects' level of daytime sleepiness. We observed similar total ESS score, total sleep time (TST), sleep efficiency, as well as respiratory disturbance index /apnea-hypopnea index (RDI/AHI), oxygen desaturation index (ODI) and mean heart rate in both groups. We observed positive linear correlation between EDS and mean heart rate in the stroke group (r = 0.46, p < 0.05) as well as between EDS and REM duration (r = 0.23, p < 0.05). In the non-stroke group EDS didn't correlate with the heart rate or with the REM duration. In the non-stroke group EDS correlated positively with RDI/AHI and ODI index (r = 0.46; p = <0.05 r = 0.41, p < 0.05 and maximal desaturation (r = 0.55, p < 0.05), this correlation was not observed in post-stroke group. In the both groups we observed negative linear correlation between BMI and saturation (stroke group - mean as well as minimal saturation (r = -0.458, p < 0.05; r = -0.578, p < 0.05), non stroke group - minimal but not mean saturation rate (r = -0.544, p < 0.05). We also noticed in both groups positive correlation between BMI and both AHI and ODI index (stroke group respectively: r = 0.430, p < 0.05; r = 0.451, p < 0.05; non-stroke group - BMI and ODI: r = 0.405, p < 0.05). The positive BMI correlation with RDI/AHI was not significant in the non-stroke group. We noticed that BMI correlates with non-REM sleep N1 (r = 0.760, p < 0.05) in post-stroke group, while it correlates negatively with REM sleep (r = -0.709, p < 0.05). There was no such correlation in the non-stroke group. In summary, in stroke patients subjective daytime sleepiness is associated with heart rate, but not with the severity of OSA. Thus ESS (Epworth Scale Score) may be not as useful as a marker of obstructive sleep apnea (OSA) presence or severity in post stroke patient as in the general population.

Analysis of Influencing Factors of Poststroke Depression: Is Higher Body Mass Index Always a Risk Factor of Poststroke Depression?

Poststroke depression (PSD) is a common complication of stroke. We sought to investigate the influencing factors of PSD and explored the association between body mass index (BMI) and PSD. A total of 397 stroke patients in a hospital in Qiqihar City, China, were included in this study in 2016. The order of independent variable importance was the score of the National Institute of Health Stroke Scale, frequency of stroke, age, BMI, and sleep duration. Sleep duration of 7 hours or more (compared with <7 hours) was negatively associated with the Self-Rating Depression Scale (SDS) score in all quantiles. BMI of 28.0 kg/m or more (compared with 24.0-28.0 kg/m) was negatively associated with SDS score, and the coefficients manifested a continuous increasing trend from P30 to P84.1 in patients aged 65 years or more. In addition, the relationship between BMI and SDS score demonstrated a "U"-shaped curve in patients aged less than 65 years. The National Institute of Health Stroke Scale score, the frequency of stroke, sleep duration, and BMI were the influencing factors of PSD. BMI played different roles in the two age groups.

Effect of Tai Chi for post-stroke mental disorders and sleep disorders: A protocol for systematic review and meta-analysis

BACKGROUND

Post-stroke mental disorders (PSMDs) and post-stroke sleep disorders (PSSDs) are very common in stroke patients. Recently, Tai Chi (TC) as a form of Chinese traditional mind-body exercise has been gradually applied to stroke rehabilitation although its efficacy for PSMD and PSSD varies across different studies. The aim of this study is to explore the therapeutic effect of TC training for PSMD and PSSD.

METHODS

This review will only include randomized controlled trials (RCTs). Search strategy will be performed in 3 English databases, 4 Chinese databases, and the WHO International Clinical Trials Registry Platform. All English or Chinese RCTs, published from inception to February 28, 2019, will be sought. Two reviewers will screen, select studies, extract data, and assess quality independently. Primary outcomes are clinical scales, mainly including "Hamilton depression scale," "Hamilton anxiety scale," and "Pittsburgh sleep quality index." The methodological quality including the risk of bias of the included studies will be evaluated using a modified assessment form, which is based on Cochrane assessment tool and Physiotherapy Evidence Database scale. Review Manager Software (Revman5.3) will be used for heterogeneity assessment, generating funnel-plots, data synthesis, subgroup analysis, and sensitivity analysis. We will use GRADE system to evaluate the quality of our evidence.

RESULTS

We will provide some more practical and targeted results investigating the effect of TC exercise for PSMD and PSSD in the current meta-analysis. Meanwhile, we will ascertain study progress of TC for PSMD and PSSD and find out defects or inadequacies of previous studies, so that future researchers could get beneficial guidance for more rigorous study.

CONCLUSION

The stronger evidence about TC's rehabilitative effect and safety for PSMD and PSSD will be provided for clinicians and policymakers.

SYSTEMATIC REVIEW REGISTRATION

PROSPERO CRD42018106608.

ETHICS AND DISSEMINATION

We do not apply for formal ethical approval from ethics committee because all of the study data in our review will be obtained in an anonymous way. Findings of this study are projected to be disseminated through peer-review publications.

Association between sleep duration and stroke prevalence in Korean adults: a cross-sectional study

OBJECTIVES

Although sleep, chronic disease and its related mortality are extensively studied areas, the association between stroke and sleep duration is relatively unknown. The aim of this study was to investigate the association between long and short sleep duration and stroke prevalence.

DESIGN

A cross-sectional survey study.

SETTING AND PARTICIPANTS

Adult surveyees (aged ≥19 years) who answered items relating to sleep duration and stroke in the 2010-2014 Korean National Health and Nutrition Surveys (n=17 601).

OUTCOME MEASURES

Participants were divided into three groups by sleep duration (short: ≤6 hours/day, normal: 7-8 hours/day and long: ≥9 hours/day). Stroke prevalence in each sleep duration group was compared using logistic regression analysis, and sociodemographic characteristics, medical history, lifestyle habits and mental health factors were set as confounding variables.

RESULTS

On adjusting for sex and age, each sleep-duration group displayed significantly different health-related characteristics. The short sleep and long sleep duration groups indicated significantly higher psychological factors for stress perception, depressive symptoms and psychiatric counselling compared with the normal sleep duration group. On adjustment of various confounders, the long sleep duration group demonstrated significantly higher ORs for stroke compared with the normal sleep duration group (OR 1.96, 95% CI 1.06 to 3.61). Also, when stratified by sex, men did not exhibit differences in stroke prevalence by sleep duration, but women showed higher stroke prevalence in the long sleep duration group compared with normal sleep duration (OR 2.94, 95% CI 1.21 to 7.17).

CONCLUSIONS

Longer sleep duration was associated with higher stroke prevalence, and this trend was more pronounced in women.

The critical influence of nocturnal breathing complaints on the quality of sleep after stroke: the Pittsburgh Sleep Quality Index and STOP-BANG

ABSTRACT In stroke patients particularly, many factors, such as sleep-related respiratory disturbances, can impair sleep. Cheap and easy-to-use tools have been created to identify sleep quality and sleep disturbances in patients after stroke. This study described the scores of the sleep apnea screening questionnaire - STOP-BANG - in patients after a stroke, and correlated the findings with sleep quality measured by the Pittsburgh Sleep Quality Index (PSQI). The scores of the STOP-BANG and PSQI were 4.3 ± 1.8 and 76 ± 3.9, respectively. The STOP-BANG scores were higher in poor sleepers (4.5 ± 1.6 versus 3.5 ± 1.9; p = 0.032). Logistic regression analysis was used to identify predictors of subjective sleep quality (PSQI) and the STOP-BANG as a predictor of poor quality sleep, with a relative risk of 1.6, controlled for age and sex. This study indicated that sleep quality was largely influenced by sleep breathing problems, which were well identified by the STOP-BANG, especially in younger stroke patients.

Poststroke Fatigue: Emerging Evidence and Approaches to Management: A Scientific Statement for Healthcare Professionals From the American Heart Association

At least half of all stroke survivors experience fatigue; thus, it is a common cause of concern for patients, caregivers, and clinicians after stroke. This scientific statement provides an international perspective on the emerging evidence surrounding the incidence, prevalence, quality of life, and complex pathogenesis of poststroke fatigue. Evidence for pharmacological and nonpharmacological interventions for management are reviewed, as well as the effects of poststroke fatigue on both stroke survivors and caregivers.

Relationship of nocturnal concentrations of melatonin, gamma-aminobutyric acid and total antioxidants in peripheral blood with insomnia after stroke: study protocol for a prospective non-randomized controlled trial

Melatonin and gamma-aminobutyric acid (GABA) have been shown to regulate sleep. The nocturnal concentrations of melatonin, GABA and total antioxidants may relate to insomnia in stroke patients. In this prospective single-center non-randomized controlled clinical trial performed in the China Rehabilitation Research Center, we analyzed the relationship of nocturnal concentrations of melatonin, GABA and total antioxidants with insomnia after stroke. Patients during rehabilitation of stroke were recruited and assigned to the insomnia group or non-insomnia group. Simultaneously, persons without stroke or insomnia served as normal controls. Each group contained 25 cases. The primary outcome was nocturnal concentrations of melatonin, GABA and total antioxidants in peripheral blood. The secondary outcomes were Pittsburgh Sleep Quality Index, Insomnia Severity Index, Epworth Sleepiness Scale, Fatigue Severity Scale, Morningness-Eveningness Questionnaire (Chinese version), and National Institute of Health Stroke Scale. The relationship of nocturnal concentrations of melatonin, GABA and total antioxidants with insomnia after stroke was analyzed and showed that they were lower in the insomnia group than in the non-insomnia group. The severity of stroke was higher in the insomnia group than in the non-insomnia group. Correlation analysis demonstrated that the nocturnal concentrations of melatonin and GABA were associated with insomnia after stroke. This trial was registered at ClinicalTrials.gov, identifier: NCT03202121.

Post-stroke Mood and Emotional Disturbances: Pharmacological Therapy Based on Mechanisms

Post-stroke mood and emotional disturbances are frequent and diverse in their manifestations. Out of the many post-stroke disturbances, post-stroke depression, post-stroke anxiety, post-stroke emotional incontinence, post-stroke anger proneness, and post-stroke fatigue are frequent and important symptoms. These symptoms are distressing for both the patients and their caregivers, and negatively influence the patient's quality of life. Unfortunately, these emotional disturbances are not apparent and are therefore often unnoticed by busy clinicians. Their phenomenology, predicting factors, and pathophysiology have been under-studied, and are under-recognized. In addition, well-designed clinical trials regarding these symptoms are rare. Fortunately, these mood and emotional disturbances may be treated or prevented by various methods, including pharmacological therapy. To administer the appropriate therapy, we have to understand the phenomenology and the similarities and differences in the pathophysiological mechanisms associated with these emotional symptoms. This narrative review will describe some of the most common or relevant post-stroke mood and emotional disturbances. The phenomenology, factors or predictors, and relevant lesion locations will be described, and pharmacological treatment of these emotional disturbances will be discussed based on presumable pathophysiological mechanisms.

Excessive Daytime Sleepiness in Stroke Survivors: An Integrative Review

Excessive daytime sleepiness (EDS) is a prevalent symptom among stroke survivors. This symptom is an independent risk factor for stroke and may reduce stroke survivors' quality of life, cognitive functioning, and daytime functional performance. The lack of a universally accepted definition of EDS makes it difficult to measure EDS and synthesize research. The purpose of this integrative review is to describe poststroke EDS, ascertain conceptual and operational definitions of EDS, identify factors that contribute to EDS in stroke survivors, and explore outcomes associated with EDS in stroke survivors. We searched the following databases: PubMed and MEDLINE (OvidSP 1946-April; Week 2, 2015), Embase (OvidSP 1974-March; Week 1, 2015), and PsycINFO (OvidSP 1967-April; Week 2, 2015). Our search yielded 340 articles, 27 of which met inclusion criteria. The literature reveals EDS to be a multidimensional construct that is operationalized with both subjective and objective measures. Choosing measures that can quantify both the objective and subjective components is useful for gaining a comprehensive understanding of EDS. The antecedents of EDS are stroke, sleep-disordered breathing, reversed Robin Hood syndrome, and depression. The outcomes associated with EDS in stroke patients are serious and negative. Via synthesis of this research, we propose a possible framework for poststroke EDS, which may be of use in clinical practice and in research to identify valid quantifying methods for EDS as well as to prevent harmful outcomes in stroke survivors.

Transportation in the Interstitial Space of the Brain Can Be Regulated by Neuronal Excitation

The transportation of substances in the interstitial space (ISS) is crucial for the maintenance of brain homeostasis, however its link to neuronal activity remains unclear. Here, we report a marked reduction in substance transportation in the ISS after neuronal excitation. Using a tracer-based method, water molecules in the interstitial fluid (ISF) could be specifically visualized in magnetic resonance (MR) imaging. We first observed the flow of ISF in the thalamus and caudate nucleus of a rat. The ISF flow was then modulated using a painful stimulation model. We demonstrated that the flow of ISF slowed significantly following neuronal activity in the thalamus. This reduction in ISF flow continued for hours and was not accompanied by slow diffusion into the ISS. This observation suggests that the transportation of substances into the ISS can be regulated with a selective external stimulation.

Factors Associated with Poststroke Fatigue: A Systematic Review

Background. Poststroke fatigue (PSF) is a frequent, disabling symptom that lacks a consensual definition and a standardized evaluation method. The (multiple) causes of PSF have not been formally characterized. Objective. To identify factors associated with PSF. Method. A systematic review of articles referenced in MEDLINE. Only original studies having measured PSF and potentially associated factors were included. Data was extracted from articles using predefined data fields. Results. Although PSF tends to be more frequent in female patients and older patients, sociodemographic factors do not appear to have a major impact. There are strong associations between PSF and emotional disturbances (such as depression and anxiety). PSF may also be linked to attentional disturbances (mainly slowing in processing speed). The literature data have failed to demonstrate a clear impact of the type and severity of stroke. It has been suggested that PSF results from alterations in the frontothalamostriatal system and/or inflammatory processes. Pain, sleep disorders, and prestroke fatigue also appeared to be associated with PSF. Implications. A better understanding of PSF may improve stroke patient care and facilitate the development of effective treatments.

Changes in chronotype after stroke: a pilot study

This study aimed to elucidate associations between stroke onset and severity as well as chronotype (phase of entrainment) and internal time of stroke. Fifty-six first-ever ischemic stroke patients participated in a cross-sectional study assessing chronotype (mid-sleep on work-free days corrected for sleep deficit on workdays; MSF_sc) by applying the Munich ChronoType Questionnaire (MCTQ). The MCTQ was completed twice, on average 68 ± 24 (SD) days post stroke and retrospectively for the time before stroke. To assess the impact of stroke in relation to internal time, InT_stroke was calculated as MSF_sc minus local time of stroke. Stroke severity was assessed via the standard clinical National Institute Health Stroke Scale (NIHSS) and modified Ranking Scale (mRS), both at hospital admission and discharge. Overall, most strokes occurred between noon and midnight. There was no significant association between MSF_sc and stroke onset. MSF_sc changed significantly after stroke, especially in patients with more severe strokes. Changes in MSF_sc varied with InT_stroke – the earlier the internal time of a stroke relative to MSF_{sc-before-stroke}, the more MSF_sc advanced after stroke. In addition, we provide first evidence that MSF_sc changes varied between stroke locations. Larger trials are needed to confirm these findings.

Correlation analysis of sleep quality and youth ischemic stroke

Objective. To study risk factors related to ischemic stroke (IS) in youth and the influence of sleep quality on youth ischemic stroke incidence. Methods. 223 patients aged 18 to 45 years who were admitted to Puyang People's Hospital from June 2011 to February 2013 with a first-ever ischemic stroke were selected as the research cases. 158 young people with a normal physical examination were selected as the control group. The Pittsburgh Sleep Quality Index (PSQI) questionnaire was used to analyse the correlation between sleep quality and youth IS incidence. The US National Institutes of Health Stroke Scale (NIHSS) and modified Rankin Scale (MRS) scores were used to assess cases' state of illness and prognosis three months after IS. Results. Univariate and multivariate logistic regression analysis showed that the association of these risk factors with youth IS incidence, from highest to lowest, was hypertension, hyperlipidaemia, smoking history, high homocysteine, the quality of sleep, family history of stroke, and alcoholism. Poor sleep quality ranked fifth among all risk factors and was positively correlated with poor prognosis for youth IS patients. Conclusion. The results of this study showed that sleep quality is an important factor in the pathogenesis and prognosis of youth IS.