Sleep Disorders in Stroke: An Update on Management

Benzodiazepine Initiation and the Risk of Falls or Fall-Related Injuries in Older Adults Following Acute Ischemic Stroke

Background and Objectives

Benzodiazepine (BZD) use in older adults after acute ischemic stroke (AIS) is common. We aimed to assess the risk of falls or fall-related injuries (FRIs) in older adults after the use of BZDs during the acute poststroke recovery period.

Methods

We emulated a hypothetical randomized trial of BZD use during the acute poststroke recovery period using linked data from the Get With the Guidelines Stroke Registry and Mass General Brigham's electronic health records. Our cohort included patients aged 65 years and older with an AIS admission between 2014 and 2021, no documented previous stroke, and no BZD prescriptions in the 3 months before admission. The potential for immortal time and confounding bias was addressed separately using inverse probability weighting.

Results

We analyzed data from 495 patients who initiated inpatient BZDs within 3 days of admission and 2,564 who did not. After standardization, the estimate was 694 events per 1,000 (95% CI 676-709) for the BZD initiation strategy and 584 events per 1,000 (95% CI 575-595) for the noninitiation strategy. Subgroup analyses showed risk differences of 142 events per 1,000 (95% CI 111-165) and 85 events per 1,000 (95% CI 64-107) for patients aged 65-74 years and 75 years and older, respectively. Risk differences were 187 events per 1,000 (95% CI 159-206) for patients with minor (NIH Stroke Severity Scale score ≤ 4) AIS and 32 events per 1,000 (95% CI 10-58) for those with moderate-to-severe AIS.

Discussion

Initiating BZDs within 3 days of an AIS is associated with an elevated ten-day risk of falls or FRIs, particularly for patients aged 65-74 years and for those with mild stroke. This underscores the need for caution when initiating BZDs, especially among individuals likely to be ambulatory during the acute and subacute poststroke period.

Efficacy and safety of TCM non-pharmacologic therapy for post-stroke insomnia: a systematic review and network meta-analysis

BACKGROUND

Post-stroke insomnia is a common and frequently occurring disease that has a significant impact on the quality of life of patients. TCM (traditional Chinese medicine) non-pharmacologic therapy is increasingly being used for patients with post-stroke insomnia. The purpose of this study is to evaluate the efficacy and safety of the TCM non-pharmacologic therapy for post-stroke insomnia.

METHODS

English and Chinese databases, including PubMed, Web of Science, Cochrane Library, Embase, CNKI, Wanfang, VIP, and SinoMed were retrieved to collect randomized controlled trials (RCTs) comparing the TCM non-pharmacologic therapy with Western medicine in the treatment of post-stroke insomnia. The search was conducted until March 26, 2024. Data analysis was conducted using Stata15.0.

RESULTS

This study included a total of 60 RCTs, involving 5 TCM non-pharmacologic therapies and 4,587 patients. The results of the network meta-analysis unveiled that Western medicine combined with massage (SUCRA93.8), Western medicine combined with auricular point sticking (SUCRA80.5), and needle embedding (SUCRA71.5) were the top three measures in clinical efficacy. For improving the Pittsburgh Sleep Quality Index (PSQI), massage (SUCRA86.1) was the most effective, followed by Western medicine combined with auricular point sticking (SUCRA85.4), and Western medicine combined with needle embedding (SUCRA66.4). Regarding adverse reactions, the top three interventions were traditional acupuncture (SUCRA87.7), moxibustion (SUCRA63.2), and Western medicine combined with traditional acupuncture (SUCRA46.0).

CONCLUSIONS

TCM non-pharmacologic therapy and Western medicine combined with TCM non-pharmacologic therapy can improve clinical efficacy in post-stroke insomnia, enhance sleep quality, and reduce adverse reactions. Due to the limitations of the included studies, the methodological quality is generally not high, and multicenter, large sample, high-quality RCTs are still needed for validation in the future.

Sleep regularity index as a novel indicator of sleep disturbance in stroke survivors: a secondary data analysis

Sleep disturbance is common but often overlooked after stroke. Regular sleep is increasingly recognised as important for overall health, yet little is known about how sleep regularity changes after stroke. This study examined differences in the Sleep Regularity Index (SRI) between stroke survivors and healthy controls using actigraphy data from an existing dataset (~ 1 week per participant). Data were analysed for 162 stroke survivors (mean age 61 ± 14 years, 5 ± 5 years post-stroke, 89 males) and 60 controls (mean age 57 ± 17 years, 32 males). Stroke survivors had significantly lower SRI scores than controls (p = 0.001), indicating less regular sleep. In the stroke group, higher SRI correlated with longer total sleep time (p = 0.003) and better self-reported sleep quality (p = 0.001) but not with other sleep metrics. Lower SRI was associated with worse depressive symptoms (p = 0.006) and lower quality of life (p = 0.001) but not with disability (p = 0.886) or time since stroke (p = 0.646). These findings suggest that sleep regularity is disrupted post-stroke and may influence well-being. Future research should explore interventions to improve sleep regularity and related health outcomes in stroke survivors.

Electro-Acupuncture Therapy Alleviates Post-Stroke Insomnia by Regulating Sirt1 and the Nrf2-ARE Pathway

Post-stroke insomnia (PSI) is a common complication following stroke, which seriously affects patients' life quality. Electro-acupuncture (EA) is an innovative form of traditional Chinese acupuncture that combines electricity with needles to achieve the prevention and treatment of diseases. However, there is limited understanding regarding the treatment mechanism of EA in PSI. In our study, we aimed to investigate the role of EA on PSI development. Our study findings indicated that the quality of sleep, levels of neurotransmitters 5-hydroxytryptamine (5-HT) and gamma-aminobutyric acid (γ-GABA), and antioxidant levels showed significant improvement following EA treatment in PSI clinical samples and rat models, while the levels of pro-inflammatory factor interleukin 6 (IL-6), tumor necrosis factor-alpha (TNF-α), and astrocyte damage were notably reduced. Furthermore, it was discovered that the levels of sirtuin 1 (Sirt1) were reduced in PSI, a condition that was significantly ameliorated by EA treatment. Additionally, the inhibition of Sirt1 caused a marked elevation in astrocyte apoptosis, inflammatory response, and oxidative stress. Besides, the nuclear factor E2-related factor 2 (Nrf2)-antioxidant response element (ARE) pathway was deactivated in the PSI rat model and Sirt1-silenced cells. However, the suppressive impact was successfully counteracted by EA or estazolam (ES), and the overexpression of Nrf2 partially alleviated the increase in apoptosis, inflammation, and oxidative stress caused by Sirt1 knockdown. Taken together, these findings indicated that EA improved sleep quality and silenced Sirt1-induced apoptosis, inflammation, and oxidative stress in PSI by activating the Nrf2-ARE pathway.

Sleep Following a Stroke: Multimodal Evaluation of Sleep Health and Disruptions and Impact on Recovery During Acute Inpatient Rehabilitation

BackgroundOur understanding of sleep during early stroke care and its impact on rehabilitation outcomes remains limited. The objectives of this work were to (1) evaluate multidimensional sleep health and disruptions during acute inpatient rehabilitation for individuals with stroke, and (2) explore the relationship between sleep health/disruptions and functional recovery.MethodsData from 103 individuals with stroke were analyzed during acute inpatient rehabilitation. Sleep health/disruptions were assessed via patient reports, actigraphy, and biometric sensors. Functional outcomes were measured at admission and discharge. Generalized Linear Models (GLMs) were used to describe changes in sleep health over time, and multivariate regressions analyzed sleep disruptions and sleep-related predictors of functional recovery.ResultsOver inpatient stays, sleep improved with a 23% reduction in wake after sleep onset and 15% fewer multiple overnight disruptions. GLMs revealed that improved sleep quality was associated with reduced overnight activity and increased heart rate over time. Poor initial sleep quality and cognitive status were associated with more overnight disruptions. Lastly, minimal associations were found between sleep health and functional recovery.ConclusionsSleep health during inpatient stroke rehabilitation is generally poor, though improves over time. Sleep is affected by neurological recovery and hospital environment. Overnight activity and autonomic biomarkers were associated with perceived sleep health, and both physiological and environmental factors triggered disruptions. The association between functional recovery and indirect indicators of sleep health requires further investigation. These findings reveal new insights about inpatient sleep which can inform early, targeted sleep interventions to optimize post-stroke outcomes.SIESTA, ClinicalTrials.gov (NCT04254484).

Risk factors and prognosis of acute ischemic stroke related restless legs syndrome

BACKGROUND

Recent studies suggest that stroke may be associated with an increased prevalence of restless legs syndrome (RLS) as a comorbidity or a risk factor. We aimed to explore the association between acute ischemic stroke (AIS) and RLS, and the possible pathogenesis of acute ischemic stroke related restless legs syndrome (AIS-RLS), for guiding its diagnosis and treatment.

METHODS

In this single-center, prospective study, we identified consecutive AIS patients and segregated into AIS-RLS group and non-AIS-RLS group based on the diagnostic criteria of RLS. The differences in baseline data, clinical features, examination results, stroke etiology, stroke location, and clinical prognosis (functional disability, cognitive and mood disorders) of the two groups were analyzed. Logistic regression analysis was used to evaluate the risk factors for RLS.

RESULTS

A total of 201 AIS patients were included in our study, and 21 (10.45 %) demonstrated RLS. Compared with non-AIS-RLS group, AIS-RLS group patients had higher systolic blood pressure (SBP) at admission (P < 0.05), higher mean 24-h SBP (P < 0.01), higher mean 24-h diastolic blood pressure (DBP) (P < 0.01), higher mean daytime SBP (P < 0.01), higher mean daytime DBP (P < 0.01), higher mean nocturnal SBP (P < 0.01), higher mean nocturnal DBP (P < 0.05), smaller variation coefficient of 24-h SBP (P < 0.05). The distribution of AIS-RLS and non-AIS-RLS was not different for each subtype according to the cortical and subcortical classification of lesion sites. The NIHSS score, GAD-7 score and PHQ-9 score were higher at 7 days (P < 0.05), and the modified Rankin scale (mRS) was higher at 3 months follow-up (P < 0.05) in the AIS-RLS group. In the logistic regression, the higher SBP at admission had a statistically significant effect on AIS-RLS(OR = 1.030,P = 0.016)even after adjusting for age and gender(OR = 1.030,P = 0.014).

CONCLUSION

Stroke anatomy did not differ between AIS-RLS and non-AIS-RLS groups. AIS-RLS group patients tend to experience higher blood pressure. Moreover, AIS-RLS patients had worse clinical prognosis (functional disability and mood disorders) compared with non-AIS-RLS patients.

Poor sleep quality and its determinants among stroke survivors in Northwest Ethiopia

Sleep disorders are highly prevalent and linked bidirectionally to stroke as risk factors for stroke to worsen the outcomes. To date, most of the studies on post-stroke sleep were conducted in Western countries. Quality of sleep among stroke patients is masked by other physical and medical complications and limited attention is given in Ethiopia. To address this gap the current study aims to estimate the incidence of poor sleep quality and its determinants among stroke survivors in Northwest Ethiopia. A prospective cohort study was conducted in three public referral hospitals from June 2022 to December 2022. The study included 403 stroke survivors at the three-month follow-up. We conducted analyses of bivariable and multivariable logistic regression to look into the relationship between the outcome and the explanatory variables. Statistics were given as odds ratios and 95% confidence intervals, with a significance level of p < 0.05. The overall incidence of poor sleep quality was 50.1%, with a mean Global Sleep Quality (GSQ score) of 5.15 (SD ± 0.16). According to Pittsburgh Sleep Quality Index (PSQI) data, the mean sleep hour was 6.15. History of alcohol consumption, complications during admission, and time between the onset of symptoms and hospital arrival were predictors of sleep quality. Sleep quality was observed in half of stroke survivors. The study's findings point to the significance of screening for sleep quality following a stroke and further research is needed including admitted and non-admitted stroke patients.

Modifiable lifestyle factors influencing neurological and psychiatric disorders mediated by structural brain reserve: An observational and Mendelian randomization study

BACKGROUND

Modifiable lifestyle factors are implicated as risk factors for neurological and psychiatric disorders, but whether these associations are causal remains uncertain. We aimed to evaluate associations and ascertain causal relationships between modifiable lifestyle factors, neurological and psychiatric disorder risk, and brain structural magnetic resonance imaging (MRI) markers.

METHODS

We analyzed data from over 50,000 UK Biobank participants with self-reported lifestyle factors, including alcohol consumption, smoking, physical activity, diet, sleep, electronic device use, and sexual factors. Primary outcomes were stroke, all-cause dementia, Parkinson's disease (PD), Major depression disorder (MDD), Anxiety Disorders (ANX), and Bipolar Disorder (BIP), alongside MRI markers. Summary statistics were obtained from genome-wide association studies and Mendelian randomization (MR) analyses investigated bidirectional associations between lifestyle factors, neurological/psychiatric disorders, and MRI markers, with mediation assessed using multivariable Mendelian randomization (MVMR).

RESULTS

Cross-sectional analyses identified lifestyle factors were associated with neurological and psychiatric disorders and brain morphology. MR confirmed causal relationships, including lifetime smoking index on Stroke, PD, MDD, ANX and BIP; play computer games on BIP; leisure screen time on Stroke and MDD; automobile speeding propensity on MDD; sexual factors on MDD and BIP; sleep characteristics on BIP and MDD. Brain structure mediated several lifestyle-disorder associations, such as daytime dozing and dementia, lifetime smoking and PD and age first had sexual intercourse and PD.

CONCLUSION

Our results provide support for a causal effect of multiple lifestyle measures on the risk of neurological and psychiatric disorders, with brain structural morphology serving as a potential biological mediator in their associations.

Evaluation of the Prevalence of Sleep Disorders and Their Association with Stroke: A Hospital-Based Retrospective Study

Background: Sleep disturbances are prevalent among stroke survivors, significantly impacting their recovery and quality of life. This study aimed to evaluate the prevalence of sleep disorders, sleep quality, risk of obstructive sleep apnea (OSA), and daytime sleepiness among stroke survivors and to identify potential associations with clinical and demographic factors. Materials and Methods: A retrospective observational study analyzed adult stroke survivors (aged ≥ 18 years) attending neurology clinics at our institution from November 2022 to November 2024. The primary outcome measures included overall sleep quality, sleep apnea and daytime sleepiness assessment. Data were collected using validated Arabic versions of the Pittsburgh Sleep Quality Index (PSQI), STOP-Bang Questionnaire, and Epworth Sleepiness Scale (ESS). Statistical analyses, including Chi-square tests and t-tests, were performed using SPSS version 30.1. Results: A total of 100 stroke survivors, mostly aged 40-60 years, were recruited in our study. The prevalence of sleep disorders was 60.0%, with poor sleep quality reflected by a mean global PSQI score of 9.13 ± 14.40. Additionally, 19.0% were at high risk of OSA, and 24.0% experienced abnormal daytime sleepiness. While no statistically significant associations were found between sleep disorders and clinical or demographic factors, trends indicated higher sleep disorder prevalence in those with hemorrhagic stroke and high-risk OSA profiles. Conclusions: Our study highlights a high prevalence of sleep disorders among stroke survivors, emphasizing the need for regular sleep assessments. Future studies should explore objective assessments and larger sample sizes to validate these findings and to assess their potential implication in stroke recovery and quality of life.

Study on the Mechanisms of Ischemic Stroke Impacting Sleep Homeostasis and Circadian Rhythms in Rats

OBJECTIVE

This study aimed to investigate the impact of ischemic stroke (IS) on sleep homeostasis and circadian rhythms in rats, as well as the underlying mechanisms.

METHODS

The middle cerebral artery occlusion model was employed to induce IS in rats. Sixty young and sixty aged rats were randomly divided into six groups for experiments. Neurological function was assessed using the Garcia score, and infarct size was evaluated through 2,3,5-triphenyltetrazolium chloride staining. Sleep-wake cycles were monitored by implanting electrodes into the neck muscles to record electroencephalograms and electromyograms. Parameters such as sleep latency, waking time, non-rapid eye movement (NREM) sleeping, rapid eye movement sleeping, NREM delta power, and waking theta power were measured. Serum cortisol and melatonin levels were measured using enzyme-linked immunosorbent assay. Gene and protein expression of circadian regulators period 1 (Per1) and cryptochrome 1 (Cry1) in the pineal gland were assessed using real-time quantitative reverse transcription polymerase chain reaction and western blot.

RESULTS

Compared to the sham groups, IS-induced rats showed a decrease in Garcia scores and an increase in cerebral infarction area. Besides, relative to young rats, aged rats exhibited more severe cerebral infraction damage, lower melatonin levels, higher cortisol levels, disrupted sleep-wake cycles, and altered gene and protein expression levels of Per1 and Cry1 in the pineal gland.

CONCLUSIONS

IS can lead to neurological impairments and brain damage, with aged rats showing more severe effects. IS also disturbs melatonin and cortisol levels, affects sleep homeostasis, and results in disordered Per1 and Cry1 gene and protein expression levels. These findings underscore the role of circadian disruption and stress response in the pathology of IS, especially in aging populations.

Assessing sleep metrics in stroke survivors: a comparison between objective and subjective measures

INTRODUCTION

Stroke survivors are at risk of sleep disturbance, which can be reflected in discrepancies between objective and subjective sleep measures. Given there are limited studies on this phenomenon and using portable monitoring devices is more convenient for stroke survivors to monitor their sleep, this study aimed to compare objectively measured (Belun Ring) and subjectively reported (sleep diary) sleep metrics (total sleep time (TST) and wakefulness after sleep onset (WASO)) in stroke survivors.

METHODS

In this cross-sectional study, thirty-five participants wore a ring-shaped pulse oximeter (Belun Ring) and kept a sleep diary for three consecutive nights in one week. The effects of various factors on TST and WASO were analyzed by linear mixed models. Systematic bias between two measures was examined by the Bland-Altman analysis.

RESULTS

TST and WASO were significantly affected by measures (p <.001), but not night. TST was significantly lower and WASO was significantly higher in the Belun Ring than in the sleep diary (p <.05). Age was the only covariate that had a significant effect on WASO (p <.05). The Bland-Altman analysis demonstrated positive bias in TST (29.55%; 95% CI [16.57%, 42.53%]) and negative bias in WASO (-117.35%; 95% CI [-137.65%, -97.06%]). Proportional bias was exhibited in WASO only (r =.31, p <.05).

CONCLUSION

The findings revealed discrepancies between objective and subjective sleep measures in stroke survivors. It is recommended that objective measures be included when assessing and monitoring their sleep conditions.

Association between post-stroke depression and post-stroke sleep disorders: a systematic review and meta-analysis

BACKGROUND

Post-stroke depression (PSD) and post-stroke sleep disorders (PSSD) are common concurrent symptoms in post-stroke patients, and their early detection may have an impact on stroke recovery and prognosis. The purpose of this study is to determine the relationship between PSD and PSSD.

METHODS

We systematically searched PubMed, Embase, Web of Science, Cochrane Library, APA PsycInfo, Medline, Scopus, Technology Periodical Database (VIP), China Biology Medicine (CBM), China National Knowledge Infrastructure (CNKI), and WanFang Data databases for studies on the association between PSD and PSSD, with a search timeframe ranging from database construction to May 9, 2024, two researchers independently performed literature search, screening and quality assessment, and RevMan (version 5.4) and Stata (version 15.1) software were used for statistical analysis.

RESULTS

We included 16 studies, nine in Chinese and seven in English, with 2,284 stroke patients. The results showed that the pooled Fisher's Z was 0.58 (95% CI = 0.52-0.65, P < 0.00001). After data transformation, the pooled r-value was 0.52, indicating a positive correlation between PSD and PSSD.

CONCLUSIONS

The available evidence suggested that PSD was positively correlated with PSSD. Given the correlation between PSD and PSSD, alleviating PSSD may reduce the incidence of PSD, and improving PSD may also improve patients' sleep quality.

Development, validation, and visualization of a novel nomogram to predict depression risk in patients with stroke

BACKGROUND

This study aimed to develop and validate a predictive nomogram model applicable to depression risk in stroke patients.

METHODS

Participants from the NHANES database (n = 1097) were enrolled from 2005 to 2018; 767 subjects were randomly assigned to the training cohort, and the remaining subjects composed the testing cohort. A nomogram containing the optimal predictors identified by the least absolute shrinkage and selection operator (LASSO) and logistic regression methods was constructed to estimate the probability of depression in stroke patients. To evaluate the performance of the nomogram, the area under the receiver operating characteristic curve (AUC), calibration plot, decision curve analysis (DCA) and internal validation were utilized.

RESULTS

Age, family income, trouble sleeping, coronary heart disease, and total cholesterol were included in the nomogram after filtering predictive variables. The AUCs of the nomogram for the training and testing cohorts were 0.782 (95 % CI = 0.742-0.821) and 0.755 (95 % CI = 0.675-0.834), respectively. The calibration plot revealed that the predicted probability was extremely close to the actual probability of depression occurrence in both the training and testing cohorts. DCA revealed that the nomogram model in the training and testing cohorts had a net benefit when the risk thresholds were 0-0.59 and 0-0.375, respectively.

LIMITATIONS

This study was limited by the absence of clinical external validation, which hindered the estimation of the nomogram's external applicability. In addition, this study has a cross-sectional design.

CONCLUSIONS

A novel nomogram was successfully constructed and proven to be beneficial for identifying individuals at high risk for depression among stroke patients.

Prospective Study of Sleep Talking and Risk of Stroke

BACKGROUND

The potential clinical implication of sleep talking in relation to stroke has not been explored to date. This study aimed to prospectively examine the association between sleep talking and the risk of developing stroke in a community-based cohort.

METHODS AND RESULTS

Included were 8001 participants (mean age, 54 years) of the Kailuan Study, China. Sleep talking was measured by a questionnaire in 2012. Cases of incident stroke were confirmed by review of medical records. Cox proportional hazards models were used to explore the association between sleep talking and stroke, adjusting for several sleep parameters (ie, insomnia, daytime sleepiness, sleep duration, snoring, and use of hypnotics) and other potential confounders. During 8 years of follow-up, 333 incident stroke cases were identified. Relative to participants without sleep talking at baseline, those with sleep talking had a higher risk of developing stroke (hazard ratio [HR], 1.30 [95% CI, 1.03-1.65]), adjusting for potential confounders. Compared with participants without probable rapid eye movement sleep behavior disorder and sleep talking, those with sleep talking and probable rapid eye movement sleep behavior disorder had a higher risk of stroke (adjusted HR, 1.93 [95% CI, 1.40-2.66]).

CONCLUSIONS

The presence of sleep talking was associated with a higher risk of developing stroke. Future studies with cases of clinically confirmed sleep talking and a longer follow-up would be appropriate to further investigate this association.

Development and validation of a nomogram for sleep disorders among stroke patients

BACKGROUND

Precisely identifying high-risk sleep disorder patients and implementing suitable measures are important for decreasing the incidence of sleep disorders. In this study, a nomogram method was adopted to construct a tool to predict sleep disorders in stroke based on four factors: individual characteristics, treatment-related factors, psychological factors, and family-related factors.

METHODS

A total of 450 stroke patients were continuously diagnosed at the Affiliated Hospital of Nantong University, and the data on participants were randomly distributed into a training set (n = 315) and a validation set (n = 135). Within the training set, using LASSO regression and random forest methods, five optimal predictors of sleep disorders were identified. Five optimal predictors were used to develop a model. The calibration, discrimination, generalization, and clinical applicability of the model were evaluated using calibration curves, receiver operating characteristic (ROC) curves, internal validation, and decision curve analysis (DCA).

RESULTS

We found that the place of residence, average daily infusion time, the Hospital Anxiety and Depression Scale (HADS), the Type D Personality Scale-14 (DS14), and the Fatigue Severity Scale (FSS) were crucial factors associated with sleep disorders. The validation data showed an area under the curve (AUC) of 0.903 compared to 0.899 in the training set. There was an approach to the diagonal in the calibration curve of this model, and the results of DCA noted that it is clinically beneficial across a range of thresholds from 5 % to 99 %.

CONCLUSION

A model was developed to predict sleep disorders among stroke patients to help hospital staff evaluate the risk among patients and screen high-risk patients.

Assessing insomnia after stroke: a diagnostic validation of the Sleep Condition Indicator in self-reported stroke survivors

Background

Insomnia is common after stroke and is associated with poorer recovery and greater risk of subsequent strokes. Yet, no insomnia measures have been validated in English-speaking individuals affected by stroke.

Aims

This prospective diagnostic validation study investigated the discriminatory validity and optimal diagnostic cut-off of the Sleep Condition Indicator when screening for Diagnostic and Statistical Manual of Mental Disorders-fifth edition (DSM-5) insomnia disorder post-stroke.

Methods

A convenience sample of 180 (60.0% women, mean age=49.61 ± 12.41 years) community-based, adult (≥18 years) self-reported stroke survivors completed an online questionnaire. Diagnosis of DSM-5 insomnia disorder was based on analysis of a detailed sleep history questionnaire. Statistical analyses explored discriminant validity, convergent validity, relationships with demographic and mood variables, and internal consistency. Receiver operating characteristic curves were plotted to assess diagnostic accuracy.

Results

Data from the sleep history questionnaire suggested that 75 participants (41.67%) met criteria for DSM-5 insomnia disorder, 33 (18.33%) exhibited symptoms of insomnia but did not meet diagnostic criteria, and 72 (40.0%) had no insomnia symptoms at the time of assessment. The Sleep Condition Indicator (SCI) demonstrated 'excellent' diagnostic accuracy in the detection of insomnia post-stroke, with an area under the curve of 0.86 (95% CI (0.81, 0.91)). The optimal cut-off was determined as being ≤13, yielding a sensitivity of 88.0% and a specificity of 71.43%.

Conclusions

The findings of this study demonstrate the SCI to be a valid and reliable method with which to diagnose DSM-5 insomnia disorder and symptoms post-stroke. However, a lower threshold than is used in the general population may be necessary after stroke.

Efficacy of non-invasive brain stimulation for post-stroke sleep disorders: a systematic review and meta-analysis

Objective

This study aimed to systematically assess the clinical efficacy of non-invasive brain stimulation (NIBS) for treating post-stroke sleep disorders (PSSD).

Methods

We conducted thorough literature search across multiple databases, including PubMed, Web of Science, EmBase, Cochrane Library, Scopus, China Biology Medicine (CBM); China National Knowledge Infrastructure (CNKI); Technology Periodical Database (VIP), and Wanfang Database, focusing on RCTs examining NIBS for PSSD. Meta-analyses were performed using RevMan 5.4 and Stata 14.

Results

Eighteen articles were reviewed, including 16 on repetitive Transcranial Magnetic Stimulation (rTMS), one on Theta Burst Stimulation (TBS), and two on transcranial Direct Current Stimulation (tDCS). Meta-analysis results indicated that rTMS within NIBS significantly improved the Pittsburgh Sleep Quality Index (PSQI) score (MD = -1.85, 95% CI [-2.99, -0.71], p < 0.05), the 17-item Hamilton Depression Rating Scale (HAMD-17) score [MD = -2.85, 95% CI (-3.40, -2.30), p < 0.05], and serum brain-derived neurotrophic factor (BDNF) levels [MD = 4.19, 95% CI (2.70, 5.69), p < 0.05], while reducing the incidence of adverse reactions [RR = 0.36, 95% CI (0.23, 0.55), p < 0.05]. TBS significantly improved the PSQI score in patients with PSSD (p < 0.05). Conversely, tDCS significantly improved the HAMD-17 score in PSSD patients [MD = -1.52, 95% CI (-3.41, -0.64), p < 0.05]. Additionally, rTMS improved sleep parameters, including Stage 2 sleep (S2%) and combined Stage 3 and 4 sleep (S3 + S4%) (p < 0.05), while tDCS improved total sleep time (TST) and sleep efficiency (SE) (p < 0.05).Subgroup analysis results indicated: (1) Both LF-rTMS and HF-rTMS improved PSQI scores (p < 0.05). (2) Both rTMS combined with medication and rTMS alone improved PSQI scores (p < 0.05). Compared to the sham/blank group, the rTMS group showed improvements in SE, sleep latency (SL), S1%, S3 + S4%, and REM sleep (REM%). The rTMS combined with medication group showed improved SL compared to the medication-only group (p < 0.05).

Conclusion

NIBS effectively improves sleep quality, structure, depression levels, and BDNF levels in PSSD patients, while also being safe. Further investigations into the potential of NIBS in PSSD treatment may provide valuable insights for clinical applications.

Systematic review registration

https://www.crd.york.ac.uk/prospero/, CRD42023485317.

A prospective study of Acupuncture Combined With Modified Blood and Vessel Expelling Blood Stasis Tang in Treating Poststroke Facial Paralysis With Insomnia

OBJECTIVE

This study aimed to assess the clinical efficacy of acupuncture combined with modified Blood and Vessel Expelling Blood Stasis Tang in the treatment of poststroke patients experiencing facial paralysis and insomnia.

METHODS

A total of 120 patients with poststroke facial paralysis and insomnia were selected from the Department of Acupuncture and Moxibustion at the First Affiliated Hospital of Tianjin University of Traditional Chinese Medicine between January 2021 and January 2023. They were randomly assigned to either a control group or a study group, with 60 patients in each group. The control group received conventional treatment, while the study group received acupuncture combined with modified Blood and Vessel Expelling Blood Stasis Tang. The neurological function, facial paralysis, and sleep quality of the patients in both groups were compared.

RESULTS

The study group exhibited a significantly higher total effective rate compared with the control group (86.67% versus 66.67%). After treatment, both groups showed a significant reduction in National Institutes of Health Stroke Scale scores, with the study group demonstrating significantly lower scores than the control group. The Functional Disability Index scores for somatic functioning and social life functioning significantly improved in both groups after treatment, with the study group achieving significantly lower scores compared with the control group. The Sleep-Related Symptom Scale and Pittsburgh Sleep Quality Index scores significantly decreased in both groups after treatment, with the study group achieving significantly lower scores than the control group.

CONCLUSIONS

Acupuncture combined with modified Blood and Vessel Expelling Blood Stasis Tang effectively promotes recovery of neurological function and significantly improves facial paralysis and insomnia in patients with poststroke facial paralysis and insomnia. However, further research is warranted to validate these findings.

Advancing Post-Stroke Depression Research: Insights from Murine Models and Behavioral Analyses

Post-stroke depression (PSD) represents a significant neuropsychiatric complication that affects between 39% and 52% of stroke survivors, leading to impaired recovery, decreased quality of life, and increased mortality. This comprehensive review synthesizes our current knowledge of PSD, encompassing its epidemiology, risk factors, underlying neurochemical mechanisms, and the existing tools for preclinical investigation, including animal models and behavioral analyses. Despite the high prevalence and severe impact of PSD, challenges persist in accurately modeling its complex symptomatology in preclinical settings, underscoring the need for robust and valid animal models to better understand and treat PSD. This review also highlights the multidimensional nature of PSD, where both biological and psychosocial factors interplay to influence its onset and course. Further, we examine the efficacy and limitations of the current animal models in mimicking the human PSD condition, along with behavioral tests used to evaluate depressive-like behaviors in rodents. This review also sets a new precedent by integrating the latest findings across multidisciplinary studies, thereby offering a unique and comprehensive perspective of existing knowledge. Finally, the development of more sophisticated models that closely replicate the clinical features of PSD is crucial in order to advance translational research and facilitate the discovery of future effective therapies.

Secondary RBD: Not just neurodegeneration

Rapid eye movement sleep behavior disorder is a parasomnia characterized by excessive muscle activity during rapid eye movement sleep (rapid eye movement sleep without atonia), along with dream enactment behavior. Isolated rapid eye movement sleep behavior disorder tends to occur in older males and is of concern due to the known link to Parkinson's disease and other synucleinopathies. When rapid eye movement sleep behavior disorder occurs in association with other neurological or general medical conditions, or resulting from the use of various substances, it is called secondary rapid eye movement sleep behavior disorder; the most common cause is neurodegenerative illness, specifically the synucleinopathies. Here, the focus will be on the subset of secondary rapid eye movement sleep behavior disorder in which there is no neurodegenerative disease.

Chinese herbal medicine and acupuncture for insomnia in stroke patients: A systematic review and meta-analysis of randomised controlled trials

BACKGROUND

Insomnia is highly prevalent in stroke patients; however, there is no ideal intervention. This systematic review examined the effect and safety of Chinese herbal medicine (CHM) and acupuncture on sleep in adults with stroke.

METHODS

Six databases were searched from inception to June 2023 to identify randomised controlled trials (RCTs). The primary outcome was Pittsburgh Sleep Quality Index (PSQI) scores. Risk of bias and evidence quality was assessed. A pairwise random-effect meta-analysis was performed.

RESULTS

A total of 54 RCTs published in 55 articles were finally included in the systematic review, including 35 of CHM and 19 of acupuncture therapies. Compared with placebo/sham procedure, CHM and acupuncture were more effective in improving PSQI scores. The evidence of moderate quality suggested that CHM outperformed benzodiazepine drugs (BZDs) while it presented an effect similar to that of non-BZDs in improving sleep quality. CHM and acupuncture also provided additional benefits to the patients treated with pharmacological agents alone. However, the evidence specific to individual CHM prescriptions lay in various factors and methodological quality, and the evidence on the comparative effectiveness between acupuncture and other therapies was conflicting or limited.

CONCLUSIONS

Overall, CHM and acupuncture used alone or in combination with pharmacotherapy can safely improve sleep in stroke patients with insomnia. In the future, RCTs on outstanding CHM prescriptions and the comparative effectiveness research between acupuncture and other therapies are needed.

REGISTRATION

PROSPERO No. CRD42020194029 and No. CRD42020194030.

Assessing actigraphy performance for daytime sleep detection following stroke: insights from inpatient monitoring in a rehabilitation hospital

Study Objectives

Stroke can result in or exacerbate various sleep disorders. The presence of behaviors such as daytime sleepiness poststroke can indicate underlying sleep disorders which can significantly impact functional recovery and thus require prompt detection and monitoring for improved care. Actigraphy, a quantitative measurement technology, has been primarily validated for nighttime sleep in healthy adults; however, its validity for daytime sleep monitoring is currently unknown. Therefore this study aims to identify the best-performing actigraphy sensor and algorithm for detecting daytime sleep in poststroke individuals.

Methods

Participants wore Actiwatch Spectrum and ActiGraph wGT3X-BT on their less-affected wrist, while trained observers recorded daytime sleep occurrences and activity levels (active, sedentary, and asleep) during non-therapy times. Algorithms, Actiwatch (Autoscore AMRI) and ActiGraph (Cole-Kripke, Sadeh), were compared with on-site observations and assessed using F2 scores, emphasizing sensitivity to detect daytime sleep.

Results

Twenty-seven participants from an inpatient stroke rehabilitation unit contributed 173.5 hours of data. The ActiGraph Cole-Kripke algorithm (minute sleep time = 15 minutes, bedtime = 10 minutes, and wake time = 10 minutes) achieved the highest F2 score (0.59). Notably, when participants were in bed, the ActiGraph Cole-Kripke algorithm continued to outperform Sadeh and Actiwatch AMRI, with an F2 score of 0.69.

Conclusions

The study demonstrates both Actiwatch and ActiGraph's ability to detect daytime sleep, particularly during bed rest. ActiGraph (Cole-Kripke) algorithm exhibited a more balanced sleep detection profile and higher F2 scores compared to Actiwatch, offering valuable insights for optimizing daytime sleep monitoring with actigraphy in stroke patients.

An Exploratory Analysis of Preclinical and Clinical Factors Associated With Sleep Disturbance Assessed via the Neuro-QoL After Hemorrhagic Stroke

Background and Purpose

Sleep disturbance after hemorrhagic stroke (intracerebral or subarachnoid hemorrhage) can impact rehabilitation, recovery, and quality of life. We sought to explore preclinical and clinical factors associated with sleep disturbance after hemorrhagic stroke assessed via the Quality of Life in Neurological Disorders (Neuro-QoL) short form sleep disturbance inventory.

Methods

We telephonically completed the Neuro-QoL short form sleep disturbance inventory 3-months and 12-months after hemorrhagic stroke for patients >18-years-old hospitalized between January 2015 and February 2021. We examined the relationship between sleep disturbance (T-score >50) and social and neuropsychiatric history, systemic and neurological illness severity, medical complications, and temporality.

Results

The inventory was completed for 70 patients at 3-months and 39 patients at 12-months; 18 (26%) had sleep disturbance at 3-months and 11 (28%) had sleep disturbance at 12-months. There was moderate agreement (κ = .414) between sleep disturbance at 3-months and 12-months. Sleep disturbance at 3-months was related to unemployment/retirement prior to admission (P = .043), lower Glasgow Coma Scale score on admission (P = .021), higher NIHSS score on admission (P = .041) and infection while hospitalized (P = .036). On multivariate analysis, sleep disturbance at 3-months was related to unemployment/retirement prior to admission (OR 3.58 (95% CI 1.03-12.37), P = .044). Sleep disturbance at 12-months was related to premorbid mRS score (P = .046).

Conclusion

This exploratory analysis did not demonstrate a sustained relationship between any preclinical or clinical factors and sleep disturbance after hemorrhagic stroke. Larger studies that include comparison to patients with ischemic stroke and healthy individuals and utilize additional techniques to evaluate sleep disturbance are needed.

Accelerometer-Measured Behavior Patterns in Incident Cerebrovascular Disease: Insights for Preventative Monitoring From the UK Biobank

BACKGROUND

The goal was to compare patterns of physical activity (PA) behaviors (sedentary behavior [SB], light PA, moderate-to-vigorous PA [MVPA], and sleep) measured via accelerometers for 7 days between patients with incident cerebrovascular disease (CeVD) (n=2141) and controls (n=73 938).

METHODS AND RESULTS

In multivariate models, cases spent 3.7% less time in MVPA (incidence rate ratio [IRR], 0.963 [95% CI, 0.929-0.998]) and 1.0% more time in SB (IRR, 1.010 [95% CI, 1.001-1.018]). Between 12 and 24 months before diagnosis, cases spent more time in SB (IRR, 1.028 [95% CI, 1.001-1.057]). Within the year before diagnosis, cases spent less time in MVPA (IRR, 0.861 [95% CI, 0.771-0.964]). Although SB time was not associated with CeVD risk, MVPA time, both total min/d (hazard ratio [HR], 0.998 [95% CI, 0.997-0.999]) and guideline threshold adherence (≥150 min/wk) (HR, 0.909 [95% CI, 0.827-0.998]), was associated with decreased CeVD risk. Comorbid burden had a significant partial mediation effect on the relationship between MVPA and CeVD. Cases slept more during 12:00 to 17:59 hours (IRR, 1.091 [95% CI, 1.002-1.191]) but less during 0:00 to 5:59 hours (IRR, 0.984 [95% CI, 0.977-0.992]). No between-group differences were significant at subgroup analysis.

CONCLUSIONS

Daily behavior patterns were significantly different in patients before CeVD. Although SB was not associated with CeVD risk, the association between MVPA and CeVD risk is partially mediated by comorbid burden. This study has implications for understanding observable behavior patterns in cerebrovascular dysfunction and may help in developing remote monitoring strategies to prevent or reduce cerebrovascular decline.

Post-stroke dizziness, depression and anxiety

OBJECTIVE

Vestibular and psychiatric disorders are very closely related. Previous research shows that the discomfort and dysfunction caused by dizziness in patients can affect psychological processes, leading to anxiety and depression, and the irritation of anxiety and depression can aggravate the discomfort of dizziness. But the causal relationship between dizziness in the recovery period of stroke and Post-stroke depression (PSD) / Post-stroke anxiety (PSA) is not clear. Identifying the causal relationship between them can enable us to conduct more targeted treatments.

METHODS

We review the epidemiology and relationship of dizziness, anxiety, and depression, along with the related neuroanatomical basis. We also review the pathophysiology of dizziness after stroke, vestibular function of patients experiencing dizziness, and the causes and mechanisms of PSD and PSA. We attempt to explore the possible relationship between post-stroke dizziness and PSD and PSA.

CONCLUSION

The treatment approach for post-stroke dizziness depends on its underlying cause. If the dizziness is a result of PSD and PSA, addressing these psychological factors may alleviate the dizziness. This can be achieved through targeted treatments for PSD and PSA, such as psychotherapy, antidepressants, or anxiolytics, which could indirectly improve dizziness symptoms. Conversely, if PSA and PSD are secondary to vestibular dysfunction caused by stroke, a thorough vestibular function assessment is crucial. Identifying the extent of vestibular impairment allows for tailored interventions. These could include vestibular rehabilitation therapy and medication aimed at vestibular restoration. By improving vestibular function, secondary symptoms like anxiety and depression may also be mitigated.

Prevalence, patterns, and predictors of patient-reported non-motor outcomes at 30 days after acute stroke: Prospective observational hospital cohort study

BACKGROUND

Adverse non-motor outcomes are common after acute stroke and likely to substantially affect quality of life, yet few studies have comprehensively assessed their prevalence, patterns, and predictors across multiple health domains.

AIMS

We aimed to identify the prevalence, patterns, and the factors associated with non-motor outcomes 30 days after stroke.

METHODS

This prospective observational hospital cohort study-Stroke Investigation in North and Central London (SIGNAL)-identified patients with acute ischemic stroke or intracerebral hemorrhage (ICH) admitted to the Hyperacute Stroke Unit (HASU) at University College Hospital (UCH), London, between August 1, 2018 and August 31, 2019. We assessed non-motor outcomes (anxiety, depression, fatigue, sleep, participation in social roles and activities, pain, bowel function, and bladder function) at 30-day follow-up using the Patient-Reported Outcome Measurement Information System-Version 29 (PROMIS-29) scale and Barthel Index scale.

RESULTS

We obtained follow-up data for 605/719 (84.1%) eligible patients (mean age 72.0 years; 48.3% female; 521 with ischemic stroke, 84 with ICH). Anxiety (57.0%), fatigue (52.7%), bladder dysfunction (50.2%), reduced social participation (49.2%), and pain (47.9%) were the commonest adverse non-motor outcomes. The rates of adverse non-motor outcomes in ⩾ 1, ⩾ 2 and ⩾ 3 domains were 89%, 66.3%, and 45.8%, respectively; in adjusted analyses, stroke due to ICH (compared to ischemic stroke) and admission stroke severity were the strongest and most consistent predictors. There were significant correlations between bowel dysfunction and bladder dysfunction (κ = 0.908); reduced social participation and bladder dysfunction (κ = 0.844); and anxiety and fatigue (κ = 0.613). We did not identify correlations for other pairs of non-motor domains.

CONCLUSION

Adverse non-motor outcomes were very common at 30 days after stroke, affecting nearly 90% of evaluated patients in at least one health domain, about two-thirds in two or more domains, and almost 50% in three or more domains. Stroke due to ICH and admission stroke severity were the strongest and most consistent predictors. Adverse outcomes occurred in pairs of domains, such as with anxiety and fatigue. Our findings emphasize the importance of a multi-domain approach to effectively identify adverse non-motor outcomes after stroke to inform the development of more holistic patient care pathways after stroke.

Sleep Characteristics and Risk of Stroke and Dementia: An Observational and Mendelian Randomization Study

BACKGROUND AND OBJECTIVES

Sleep disturbances are implicated as risk factors of both stroke and dementia. However, whether these associations are causal and whether treatment of sleep disorders could reduce stroke and dementia risk remain uncertain. We aimed to evaluate associations and ascertain causal relationships between sleep characteristics and stroke/dementia risk and MRI markers of small vessel disease (SVD).

METHODS

We used data sets from a multicenter population-based study and summary statistics from genome-wide association studies (GWASs) of sleep characteristics and outcomes. We analyzed 502,383 UK Biobank participants with self-reported sleep measurements, including sleep duration, insomnia, chronotype, napping, daytime dozing, and snoring. In observational analyses, the primary outcomes were incident stroke, dementia, and their subtypes, alongside SVD markers. Hazard ratios (HRs) and odds ratios (ORs) were adjusted for age, sex, and ethnicity, and additional vascular risk factors. In Mendelian randomization (MR) analyses, ORs or risk ratios are reported for the association of each genetic score with clinical or MRI end points.

RESULTS

Among 502,383 participants (mean [SD] age, 56.5 [8.1] years; 54.4% female), there were 7,668 cases of all-cause dementia and 10,334 strokes. In longitudinal analyses, after controlling for cardiovascular risk factors, participants with insomnia, daytime napping, and dozing were associated with increased risk of any stroke (HR 1.05, 95% CI 1.01-1.11, p = 8.53 × 10-3; HR 1.09, 95% CI 1.05-1.14, p = 3.20 × 10-5; HR 1.19, 95% CI 1.08-1.32, p = 4.89 × 10-4, respectively). Almost all sleep measures were associated with dementia risk (all p < 0.001, except insomnia). Cross-sectional analyses identified associations between napping, snoring, and MRI markers of SVD (all p < 0.001). MR analyses supported a causal link between genetically predicted insomnia and increased stroke risk (OR 1.31, 95% CI 1.13-1.51, p = 0.00072), but not with dementia or SVD markers.

DISCUSSION

We found that multiple sleep measures predicted future risk of stroke and dementia, but these associations were attenuated after controlling for cardiovascular risk factors and were absent in MR analyses for Alzheimer disease. This suggests possible confounding or reverse causation, implying caution before proposing sleep disorder modifications for dementia treatment.

A Systematic Review and Meta-Analysis on the Identification of Predictors Associated With Insomnia or Sleep Disturbance in Post-stroke Patients

The aim of this study was to identify the factors associated with sleep disturbances in individuals after a stroke. To systematically identify relevant studies, an extensive search strategy was devised. We conducted comprehensive searches in major electronic databases including PubMed, Embase, PsycINFO, and Cochrane Library. The search was limited to articles published in English between January 1, 2011, and February 10, 2024. Pooled effect estimates, such as odds ratio (OR) or mean difference (MD) along with their confidence interval (CIs), were calculated using random-effects models for categorical variables and continuous variables, respectively. A total of nine studies were included in this meta-analysis. The pooled prevalence of insomnia across the included studies was determined to be 40% (95% CI = 30%-49%), with individual study prevalence ranging from 22% to 72%. A pooled analysis showed that gender demonstrated a statistically significant association with sleep disturbance, with females exhibiting a higher likelihood (OR = 1.49, 95% CI = 1.16-1.91, p = 0.002) compared to males. The National Institutes of Health Stroke Scale (NIHSS) score, a measure of stroke severity, was associated with sleep disturbance (MD = 0.86, 95% CI = 0.56-1.17, p = 0.001), indicating that patients with severe strokes may be more prone to sleep disturbances. These findings underscore the importance of comprehensive evaluation and targeted interventions to address sleep-related issues in stroke patients, particularly those with severe neurological impairment.

Efficacy and safety of eszopiclone combined with drug therapy in the treatment of insomnia after stroke: A network meta-analysis and systematic review

OBJECTIVE

To evaluate the efficacy and safety of multi-drug therapy based on eszopiclone in the treatment of insomnia after stroke using a network meta-analysis method and to provide evidence for clinical practice.

METHOD

Computer searches of PubMed, Excerpt Medica Database (Embase), Cochrane Library Central Register of Controlled Trials, APA PsycInfo, CNKI, WanFang, Sinomed and other databases were performed to search for clinical randomized controlled studies (RCTs) on multi-drug therapy based on eszopiclone in the treatment of insomnia patients after stroke. The search time was from the establishment of each database until July 2023. The bias risk assessment tool recommended by Cochrane was used to evaluate the quality of the included RCTs. Stata 14.0 was applied to perform network meta-analysis using Review Manager 5.3 software for traditional meta-analysis.

RESULT

Eighteen RCTs and 1646 patients were ultimately included, involving 11 treatment options. The results of the network meta-analysis showed that the ranking of Pittsburgh Sleep Quality Index (PSQI) decline was eszopiclone combined with sweet dream oral liquid (ESZ+SDOL)>eszopiclone combined with a shugan jieyu capsule (ESZ+SGJYC)>eszopiclone combined with agomelatine (ESZ+AGO)>eszopiclone combined with flupentixol and melitracen tablets (ESZ+FMT)>eszopiclone combined with yangxue qingnao granules (ESZ+YXQNG)>eszopiclone combined with mirtazapine (ESZ+MIR)>ESZ>FMT; the modified Edinburgh Scandinavia Stroke Scale (MESSS) decline ranking was ESZ+SDOL>ESZ+AGO>ESZ; and the clinical total effective rate ranking was eszopiclone combined with a xuefu zhuyu capsule (ESZ+XFZYC)>ESZ+MIR>ESZ+SGJYC>ESZ+SDOL> ESZ+FMT>ESZ+YXQNG>ESZ>FMT. In terms of clinical adverse reactions, in addition to ESZ therapy, ESZ+ESC had the highest number of adverse reactions, with abdominal pain being the most common. ESZ+YXQNG had the most types of adverse reactions, with 8 types.

CONCLUSION

Multi-drug therapy based on eszopiclone can effectively improve the sleep quality of patients with insomnia after stroke, and ESZ+SDOL has significant efficacy and safety. However, due to the limitations of this study, efficacy ranking cannot fully explain the superiority or inferiority of clinical efficacy. In the future, more multicentre, large sample, double-blind randomized controlled trials are needed to supplement and demonstrate the results of this study.

Correlation of Circadian Rhythms and Improvement of Depressive Symptoms in Acute Ischemic Stroke Patients

OBJECTIVES

To investigate the correlation between evening melatonin timing secretion, dim light melatonin onset (DLMO), and post-stroke depression (PSD) in acute ischemic stroke patients and their influence on the improvement of depressive symptoms.

MATERIALS AND METHODS

120 patients with a recent magnetic resonance imaging confirmed stroke were included. Salivary melatonin samples were collected at 5 time points within 1 week after hospitalization (7 p.m.-11 p.m., 1 sample per hour). The circadian phase was defined by calculating DLMO secretion. Post-stroke depressive symptoms were evaluated by the 17-item Hamilton Rating Scale for Depression (HRSD) both on day 7 of hospitalization and 3 months after stroke. Patients were divided into PSD and non-PSD groups based on whether the acute phase HRSD score was ≥8. Similarly, patients were divided into the improved depressive symptoms (IDS) and no improvement in depressive symptoms (non-IDS) groups based on whether the HRSD score at 3 months was lower than at baseline. Neurological recovery at 3 months was assessed using the modified Rankin Scale (mRS).

RESULTS

The difference in DLMO between PSD and non-PSD patients was not statistically significant (p =0.173). In the non-IDS group, there was a significant decrease in melatonin secretion at 10 p.m. (p =0.012), and DLMO was significantly later than in the IDS group (p =0.017). Logistic regression analysis showed that DLMO (OR 1.91, 95%CI:1.13-3.23, p = 0.016) was an independent risk factor for persistent no improvement in depressive symptoms, which was associated with a markedly worse prognosis (p <.001).

CONCLUSION

Our findings suggest possible interventions for the very early identification of non-IDS patients.

Longitudinal Sleep Patterns and Cognitive Impairment in Older Adults

Importance

Sleep disturbances and clinical sleep disorders are associated with all-cause dementia and neurodegenerative conditions, but it remains unclear how longitudinal changes in sleep impact the incidence of cognitive impairment.

Objective

To evaluate the association of longitudinal sleep patterns with age-related changes in cognitive function in healthy older adults.

Design, Setting, and Participants

This cross-sectional study is a retrospective longitudinal analyses of the Seattle Longitudinal Study (SLS), which evaluated self-reported sleep duration (1993-2012) and cognitive performance (1997-2020) in older adults. Participants within the SLS were enrolled as part of a community-based cohort from the Group Health Cooperative of Puget Sound and Health Maintenance Organization of Washington between 1956 and 2020. Data analysis was performed from September 2020 to May 2023.

Main Outcomes and Measures

The main outcome for this study was cognitive impairment, as defined by subthreshold performance on both the Mini-Mental State Examination and the Mattis Dementia Rating Scale. Sleep duration was defined by self-report of median nightly sleep duration over the last week and was assessed longitudinally over multiple time points. Median sleep duration, sleep phenotype (short sleep, median ≤7 hours; medium sleep, median = 7 hour; long sleep, median ≥7 hours), change in sleep duration (slope), and variability in sleep duration (SD of median sleep duration, or sleep variability) were evaluated.

Results

Of the participants enrolled in SLS, only 1104 participants who were administered both the Health Behavior Questionnaire and the neuropsychologic battery were included for analysis in this study. A total of 826 individuals (mean [SD] age, 76.3 [11.8] years; 468 women [56.7%]; 217 apolipoprotein E ε4 allele carriers [26.3%]) had complete demographic information and were included in the study. Analysis using a Cox proportional hazard regression model (concordance, 0.76) showed that status as a short sleeper (hazard ratio, 3.67; 95% CI, 1.59-8.50) and higher sleep variability (hazard ratio, 3.06; 95% CI, 1.14-5.49) were significantly associated with the incidence of cognitive impairment.

Conclusions and Relevance

In this community-based longitudinal study of the association between sleep patterns and cognitive performance, the short sleep phenotype was significantly associated with impaired cognitive performance. Furthermore, high sleep variability in longitudinal sleep duration was significantly associated with the incidence of cognitive impairment, highlighting the possibility that instability in sleep duration over long periods of time may impact cognitive decline in older adults.

Increasing of Cortisol Level and Neutrophil-Lymphocyte-Ratio are Associated with Severity Level and Sleep Disturbances in Acute Ischemic Stroke

Background

Acute ischemic stroke can cause sleep disturbances. These complaints involve various factors, such as disturbances of the hormone cortisol and Neutrophil-Lymphocyte-Ratio (NLR) that can cause increasing severity levels in acute ischemic stroke patients. This study aimed to determine the relationship between cortisol levels and NLR with severity levels and sleep disturbances in acute ischemic stroke patients.

Methods

A cross-sectional analytic observational study was conducted on acute ischemic stroke patients during Agustus - December 2022. Examine cortisol levels using the ELISA method, NLR from blood test, asses severity levels using the National Institute of Health Stroke Scale (NIHSS), and The Pittsburgh Sleep Questionnaire Index (PSQI) is used as a measure for the initial screening of sleep disturbances-statistical analysis using Spearman correlation.

Results

Total study subjects were 48 patients, with the majority 62.5% women; the mean age of study subjects was above 60 years (56.3%), and the most common type of stroke was large artery atherosclerotic stroke (77.1%), the highest NIHSS score was in the moderate category (85.4%), the most common risk factor is hypertension (64.4%), and basal ganglia area is the most common ischemic stroke location (52.1%). There was a positive correlation between cortisol levels with NIHSS (r=0.874; p-value <0.001), NLR with sleep disturbances (r=0.829; p-value<0.001), NLR with NIHSS (r=0.893; p-value<0.001), and NIHSS with PSQI (r=0.836; p-value<0.001).

Conclusion

There were a positive correlation between cortisol level, NLR level, and NIHSS score with sleep quality disturbances based on PSQI in acute ischemic stroke patients.

Comparative effectiveness of different treatments for post-stroke insomnia: A network meta-analysis

Background

：Post-stroke insomnia（PSI）is one of the common complications after stroke and it is a chronic problem and hampers the patient's recovery. Some treatments have been shown to be effective in treating post-stroke insomnia. However, it is not clear which treatment is more effective.

Methods

In this study, we searched CNKI, PubMed, and Cochrane Library for appropriate keywords with a deadline of October 2022 to select 23 randomized controlled trials（RCTs）. The mean difference between different treatments was assessed and summarized as mean and 95 % confidence interval (CI), resulting in a Bayesian network meta-analysis.

Results

By meta-analysis of Bayesian networks, we found acupuncture(MD, -2.49; 95 % CI, [-3.63, -1.31]) and herbal (MD, -2.79; 95 % CI, [-4.9, -0.69]) were significantly better than estazolam in terms of PSQI score change, and the difference was statistically significant. Dexzopiclone, electrics stimulation, rTMS and zopiclone were not statistically significant with other treatments.

Conclusion

Herbal, zopiclone, and acupuncture were more effective in improving PSQI scores in patients with post-stroke insomnia, followed by rTMS and dexzopiclone. However, the effectiveness between herbal, zopiclone and acupuncture was not statistically significant. Acupuncture and herbal are promising for the treatment of PSI, and more research remains to be invested.

Effects of Ischemic Stroke on Interstitial Fluid Clearance in Mouse Brain: a Bead Study

The clearance of brain interstitial fluid (ISF) is important in maintaining brain homeostasis. ISF clearance impairment leads to toxic material accumulation in the brain, and ischemic stroke could impair ISF clearance. The present study investigates ISF clearance under normal and ischemic conditions. The carboxylate-modified FluoSpheres beads (0.04 μm in diameter) were injected into the striatum. Sham or transient middle cerebral artery occlusion surgeries were performed on the mice. The brain sections were immunostained with cell markers, and bead distribution at various time points was examined with a confocal microscope. Primary mouse neuronal cultures were incubated with the beads to explore in vitro endocytosis.  Two physiological routes for ISF clearance were identified. The main one was to the lateral ventricle (LV) through the cleft between the striatum and the corpus callosum (CC)/external capsule (EC), where some beads were captured by the ependymal macrophages and choroid plexus. An alternative and minor route was to the subarachnoid space through the CC/EC and the cortex, where some of the beads were endocytosed by neurons. After ischemic stroke, a significant decrease in the main route and an increase in the minor route were observed. Additionally, microglia/macrophages engulfed the beads in the infarction. In conclusion, we report that the physiological clearance of ISF and beads mainly passes through the cleft between the CC/EC and striatum into the LV, or alternatively through the cortex into the subarachnoid space. Stroke delays the main route but enhances the minor route, and microglia/macrophages engulf the beads in the infarction. Ischemic stroke impairs the clearance of brain interstitial fluid/beads. Under physiological conditions, the main route ( ① ) of interstitial fluid clearance is to the lateral ventricle, and the minor one ( ② ) is to the subarachnoid space. Ischemic stroke weakens the main route ( ① ), enhances the minor one ( ② ), and leads to microglial/macrophage phagocytosis within the infarction ( ③ ).

Prevalence, contributing factors, and economic implications of strokes among older adults: a study of North-East India

Stroke is a significant cause of mortality and disability in India, with its economic impact on the rise. This study aims to investigate the prevalence and factors associated with stroke among the elderly population in seven north-eastern states of India and its economic consequences. Data from the initial phase of the Longitudinal Ageing Study in India (2017-2018) were utilized, and bivariate and multivariate analyses were done. Stroke prevalence (1.53%) was notable among both genders, with approximately 1% in females and 2.3% in males. Individuals with low physical activity, higher socio-economic status, and unemployment faced a higher risk of stroke. Females exhibited a 60% lower likelihood [AOR 0.40; (CI 0.250-0.627)] of stroke compared to males and hypertension was a significant risk factor. Stroke patients incur up to INR 50,000 of financial burden, with a considerable proportion facing disability in comprehension and speech. The economic burden of stroke-related hospitalization was significantly high, emphasizing the need for government-funded health insurance to cover stroke-related medications and reducing out-of-pocket expenses for patients seeking treatment in healthcare facilities. The study highlights the urgency for better schemes to address the growing threat of strokes in the north-eastern parts of India for comprehensively tackling this public health challenge.

Modified Suanzaoren decoction in treating post-stroke cognitive impairment with comorbid insomnia symptoms: A clinical trial

BACKGROUND

Cognitive impairment and insomnia are common complications for stroke patients, and often coexist without effective therapy. Modified Suanzaoren decoction (M-SZRD), derived from a famous classic prescription, has been used as an alternative treatment for these patients. The objective of this study is to investigate the effectiveness of M-SZRD in treating post-stroke cognitive impairment with comorbid insomnia symptoms.

METHODS

A total of 80 participants were randomly assigned into 2 groups to 40 cases in the treatment group (treated with modified Suanzaoren decoction) and 40 cases in the control group (treated with zolpidem). The intervention period was 4 weeks. Cognitive function, sleep quality, depression, and anxiety disorders were evaluated in both groups before and after treatment. Clinical assessment of patients with stroke included National Institutes of Health Stroke Scale and Barthel Index evaluations. Hormone levels of the hypothalamic-pituitary-adrenal and hypothalamus-pituitary-thyroid axis were also measured.

RESULTS

Out of the total 80 participants, 5 withdrew during the experiment and did not complete the study, leaving 75 patients for analysis to 38 in the treatment group and 37 in the control group. The findings showed that M-SZRD was more effective than the control group in improving cognitive function (P = .006). However, both groups were found to have a similar effect in improving insomnia (P = .323). There was no significant difference between the 2 groups in terms of activities of daily living and National Institutes of Health Stroke Scale improvement. M-SZRD was superior to the control group in improving depression state (P = .034), but when including dropouts in the intention-to-treat analysis, the difference was not statistically significant (P = .150). Furthermore, the M-SZRD group was better than the control group in reducing cortisol levels (P = .036), and the improvement in serum-free triiodothyronine (FT3) levels was also more significant in the M-SZRD group than in the control group (P = .0007).

CONCLUSION

M-SZRD is a more effective treatment for improving cognitive function in patients with post-stroke cognitive impairment and comorbid insomnia symptoms, possibly by regulating the cortisol levels of the hypothalamic-pituitary-adrenal axis and FT3 levels of the hypothalamus-pituitary-thyroid axis.

Impact of a spiritual care program on the sleep quality and spiritual health of Muslim stroke patients: A randomized controlled trial

OBJECTIVES

Stroke patients often experience poor sleep quality and spiritual health due to complications and limitations. In this situation, implementing spiritual care may reduce these problems. Therefore, this study aimed to examine the effect of a spiritual care program on sleep quality and spiritual health of Muslim stroke patients.

METHODS

This was a two-group randomized clinical trial conducted in Hamadan, Iran, in 2021, with 117 stroke patients. The samples were selected by convenience sampling and assigned to experimental (N = 59) and control (N = 58) groups based on random permutation blocks. The data were collected using the demographic information form, the Pittsburgh Sleep Quality Index, the Paloutzian and Ellison Spiritual Well-Being Scale, and the Modified Rankin Scale before and one month after the intervention. The experimental group received five daily sessions of spiritual care for 45-60 min based on standard and local methods, including patient orientation and identification of spiritual needs, religious care, supportive spiritual care, and beneficial evaluations. Data were analyzed by chi-square test, Fisher's exact test, independent t-test, and paired t-test at 0.05 significance level in SPSS 21.

RESULTS

The socio-demographic characteristics were similar between the groups (p > 0.05). At baseline, there was no significant difference in sleep quality and spiritual health between the experimental and control groups (p > 0.05). However, after the intervention, the sleep quality and spiritual health of patients in the experimental group improved significantly compared with the control group (p < 0.05).

CONCLUSION

The spiritual care program improved sleep quality and spiritual health of stroke patients; therefore, nurses should consider these aspects to provide holistic care.

Monitoring and Predicting Health Status in Neurological Patients: The ALAMEDA Data Collection Protocol

(1) Objective: We explore the predictive power of a novel stream of patient data, combining wearable devices and patient reported outcomes (PROs), using an AI-first approach to classify the health status of Parkinson's disease (PD), multiple sclerosis (MS) and stroke patients (collectively named PMSS). (2) Background: Recent studies acknowledge the burden of neurological disorders on patients and on the healthcare systems managing them. To address this, effort is invested in the digital transformation of health provisioning for PMSS patients. (3) Methods: We introduce the data collection journey within the ALAMEDA project, which continuously collects PRO data for a year through mobile applications and supplements them with data from minimally intrusive wearable devices (accelerometer bracelet, IMU sensor belt, ground force measuring insoles, and sleep mattress) worn for 1-2 weeks at each milestone. We present the data collection schedule and its feasibility, the mapping of medical predictor variables to wearable device capabilities and mobile application functionality. (4) Results: A novel combination of wearable devices and smartphone applications required for the desired analysis of motor, sleep, emotional and quality-of-life outcomes is introduced. AI-first analysis methods are presented that aim to uncover the prediction capability of diverse longitudinal and cross-sectional setups (in terms of standard medical test targets). Mobile application development and usage schedule facilitates the retention of patient engagement and compliance with the study protocol.

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.

The prevalence of chronic dehydration and associated with cardiometabolic risks among agriculture and aquaculture workers

Background

Chronic dehydration is associated with complications and mortality in acute ischemic stroke patients. Prior literature indicates that farmers and fishery workers are commonly affected by cardiometabolic diseases and there is a need for early prevention of stroke. This study explores the prevalence of dehydration and the association of cardiometabolic risk profiles in agricultural and aquaculture workers.

Methods

We conducted a community-based, cross-sectional study of agriculture and aquaculture workers in Yunlin County of Taiwan between August 1 and December 31, 2021. Data on demographic characteristics and health-related lifestyles were collected through one-on-one interviews using a questionnaire. The threshold for dehydration is defined as serum osmolality ≥295 mOsm/kg, and physiological biomarkers were collected from a collaborating hospital. Multivariable logistic regression analyses adjusted for demographic characteristics were performed to investigate the association between dehydration levels, cardiometabolic risks, and health-related behaviors.

Results

A total of 962 Taiwanese agriculture and aquaculture workers who were predominantly women (65%) with a mean age of 64 years (SD = 13.8) were enrolled. The findings showed a high prevalence of dehydration (36%), metabolic syndrome (44.5%), abnormal waist circumference (64.4%), and abnormal blood pressure (68.5%). Multivariate logistic regression demonstrated that dehydration was significantly associated with metabolic syndrome (p < 0.001), 10-year stroke risk prediction (p < 0.001), and an unhealthy lifestyle (p < 0.001).

Conclusion

The prevalence of chronic dehydration was higher in Taiwanese agriculture and aquaculture workers, which was significantly associated with cardiometabolic risks and unhealthy lifestyles.

Long-term behavioural alterations in mice following transient cerebral ischemia

Ischemic stroke is one of the leading causes of disability and mortality worldwide. Acute and chronic post-stroke changes have variable effects on the functional outcomes of the disease. Therefore, it is imperative to identify what daily activities are altered after stroke and to what extent, keeping in mind that ischemic stroke patients often have long-term post-stroke complications. Translational studies in stroke have also been challenging due to inconsistent study design of animal experiments. The objective of this study was to clarify whether and to what extent mouse behaviour was altered during a 6 months period after cerebral stroke. Experimental stroke was induced in mice by intraluminal filament insertion into the middle cerebral artery (fMCAo). Neurological deficits, recovery rate, motor performance, and circadian activity were evaluated following ischemia. We observed severe neurological deficits, motor impairments, and delay in the recovery rate of mice during the first 14 days after fMCAo. Aberrant circadian activity and distorted space map were seen in fMCAo mice starting one month after ischemia, similarly to altered new and familiar cage activity and sucrose preference using the IntelliCage, and was still evident 60- and 180- days following stroke in the voluntary running wheel using the PhenoMaster system. A preference towards ipsilateral side turns was observed in fMCAo mice both acutely and chronically after the stroke induction. Overall, our study shows the importance of determining time-dependent differences in the long-term post-stroke recovery (over 180 days after fMCAo) using multiple behavioural assessments.

Instability in longitudinal sleep duration predicts cognitive impairment in aged participants of the Seattle Longitudinal Study

Importance

Sleep disturbances and clinical sleep disorders are associated with all-cause dementia and neurodegenerative conditions. It remains unclear how longitudinal changes in sleep impact the incidence of cognitive impairment.

Objective

To evaluate how longitudinal sleep patterns contribute to age-related changes in cognitive function in healthy adults.

Design Setting Participants

This study utilizes retrospective longitudinal analyses of a community-based study within Seattle, evaluating self-reported sleep (1993-2012) and cognitive performance (1997-2020) in aged adults.

Main Outcomes and Measures

The main outcome is cognitive impairment as defined by sub-threshold performance on 2 of 4 neuropsychological batteries: Mini-Mental State Examination (MMSE), Mattis Dementia Rating Scale, Trail Making Test, and Wechsler Adult Intelligent Scale (Revised). Sleep duration was defined through self-report of 'average nightly sleep duration over the last week' and assessed longitudinally. Median sleep duration, change in sleep duration (slope), variability in sleep duration (standard deviation, Sleep Variability), and sleep phenotype ("Short Sleep" median ≤7hrs.; "Medium Sleep" median = 7hrs; "Long Sleep" median ≥7hrs.).

Results

A total of 822 individuals (mean age of 76.2 years [11.8]; 466 women [56.7%]; 216 APOE allele positive [26.3%]) were included in the study. Analysis using a Cox Proportional Hazard Regression model (concordance 0.70) showed that increased Sleep Variability (95% CI [1.27,3.86]) was significantly associated with the incidence of cognitive impairment. Further analysis using linear regression prediction analysis (R2=0.201, F (10, 168)=6.010, p=2.67E-07) showed that high Sleep Variability (β=0.3491; p=0.048) was a significant predictor of cognitive impairment over a 10-year period.

Conclusions and Relevance

High variability in longitudinal sleep duration was significantly associated with the incidence of cognitive impairment and predictive of decline in cognitive performance ten years later. These data highlight that instability in longitudinal sleep duration may contribute to age-related cognitive decline.

Sleep disturbances and associated factors amongst stroke survivors in North Central, Nigeria

Introduction

Sleep disturbance is common in persons with stroke and when unrecognised and untreated may hinder rehabilitation efforts and lead to poor functional outcome. It may also result in increased risk for stroke recurrence.

Aim

We investigated the frequency and associated factors of sleep disturbances amongst stroke survivors.

Methodology

One hundred and ten stroke survivors attending the neurology outpatient clinics of two tertiary hospitals, from February 2021 to January 2022, were interviewed after obtaining ethical approval and informed consent. We used a structured questionnaire to obtain their socio-demographic, clinical characteristics and sleep disturbances. Excessive daytime sleepiness was assessed using the Epworth Sleepiness Scale (ESS). Data were analysed with statistical significance set at P < 0.05.

Results

Eighty (72.7%) patients were males with a mean age of 61.4 ± 11.8, slightly older than the females (30, 27.3%) with a mean age of 60.9 ± 2.9. Their median follow-up duration was 7.5 months. Majority (84, 76.4%) had ischaemic stroke, and the frequency of sleep disturbances was 37 (33.6%) consisting of insomnia (19, 17.3%), hypersomnia (10, 9.0%), sleep-disordered breathing (5, 4.5%) and sleep-related movement disorder (3, 2.7%), respectively. Using the ESS score, 22 (20.0%) had mild, 10 (9.0%) had moderate and 7 (6.4%) had severe ESS scores, respectively. Univariate analysis showed depression to be significantly associated with ESS (P = 0.006) whereas multivariate analysis revealed age and sex as significant associated factors (P = 0.008 and P = 0.009) of ESS.

Conclusion

More than one-third of participants reported sleep disturbances with depression, age and gender as associated factors.

The Correlation of Sleep Disturbance and Location of Glioma Tumors: A Narrative Review

Sleep disturbance can occur when sleep centers of the brain, regions that are responsible for coordinating and generating healthy amounts of sleep, are disrupted by glioma growth or surgical resection. Several disorders cause disruptions to the average duration, quality, or patterns of sleep, resulting in sleep disturbance. It is unknown whether specific sleep disorders can be reliably correlated with glioma growth, but there are sufficient numbers of case reports to suggest that a connection is possible. In this manuscript, these case reports and retrospective chart reviews are considered in the context of the current primary literature on sleep disturbance and glioma diagnosis to identify a new and useful connection which warrants further systematic and scientific examination in preclinical animal models. Confirmation of the relationship between disruption of the sleep centers in the brain and glioma location could have significant implications for diagnostics, treatment, monitoring of metastasis/recurrence, and end-of-life considerations.

Non-invasive brain stimulation for treating post-stroke depression: A network meta-analysis

OBJECTIVE

To compare the antidepressant effects and tolerability of repetitive transcranial magnetic stimulation (rTMS) and transcranial direct current stimulation (tDCS) treatments in patients with post-stroke depression (PSD).

METHODS

We included randomized controlled trials comparing active stimulation with sham stimulation. Primary outcomes were the depression score after treatment, presented as standardized mean differences with 95% confidence intervals. Response/remission and long-term antidepressant efficacy were also examined. We estimated effect-size using pairwise and Bayesian network meta-analysis (NMA) with random-effects model.

RESULTS

We identified 33 studies (total n = 1793). In NMA, 5 of 6 treatment strategies were associated with higher effect compared with sham therapy: dual rTMS (standardized mean differences = -1.5; 95% confidence interval = -2.5 to -0.57), dual LFrTMS (-1.5, -2.4 to -0.61), dual tDCS (-1.1, -1.5 to -0.62), HFrTMS (-1.1, -1.3 to -0.85) and LFrTMS (-0.90, -1.2 to -0.6). And dual rTMS, dual LFrTMS or HFrTMS may be more effective than other interventions for achieving antidepressant effects. Regarding secondary outcomes, rTMS can promote depression remission and response, and alleviate depression for at least 1 month. rTMS and tDCS were well tolerated.

CONCLUSIONS

Bilateral rTMS and HFrTMS are considered top-priority non-invasive brain stimulation (NIBS) interventions for improving PSD. Dual tDCS and LFrTMS are also efficient.

SIGNIFICANCE

The findings of this study provide evidence for considering NIBS techniques as alternative or add-on treatments for patients with PSD. This work also emphasizes the need for future clinical trials to address the inadequacies identified in this review to optimize methodological quality.

Effect of hyperbaric oxygen on post-stroke depression

BACKGROUND

In patients with post-stroke depression (PSD) in diabetes, the situation may be more complex, requiring simultaneous treatment of blood glucose, depressive symptoms, and neurological dysfunction. Hyperbaric oxygen (HBO) therapy can improve tissue oxygen content and improve the situation of ischemia and hypoxia, thus playing a role in protecting brain cells and restoring the function of brain cells. However, there are few studies on HBO therapy for patients with PSD. This study explores the clinical efficacy of such therapy for stroke complicated with depression and diabetes mellitus, and to provide reference and basis for clinical treatment and development through the application of relevant rating scales and laboratory test indicators.

AIM

To evaluate the clinical effects of HBO therapy on patients with diabetes with PSD.

METHODS

A total of 190 diabetic patients with PSD were randomly divided into observation and control groups (95 patients per group). The control group received escitalopram oxalate 10mg once a day for eight weeks. In addition, the ob-servation group was also given HBO therapy, once a day, five times a week, for eight weeks. The Montgomery Depression Rating Scale (MADRS), National Institutes of Health Stroke Scale (NIHSS), hypersensitive C-reactive protein, tumor necrosis factor (TNF)-α, and fasting glucose levels were compared.

RESULTS

There were no significant differences in age, sex, or depression course between the groups (P > 0.05). After HBO treatment, MADRS scores in both groups decreased significantly (14.3 ± 5.2), and were significantly lower in the control group (18.1 ± 3.5). After HBO treatment, NIHSS scores in both groups decreased significantly, and scores in the observation group (12.2 ± 4.0) decreased more than in the control group (16.1 ± 3.4), the difference was statistically significant (P < 0.001). The levels of hypersensitive C-reactive protein and TNF-α in both groups were significantly decreased, and the observation group was significantly lower than the control group (P < 0.001). Fasting blood glucose levels in both groups decreased significantly, and those in the observation group decreased more (8.02 ± 1.10) than in the control group (9.26 ± 1.04), with statistical significance (t = -7.994, P < 0.001).

CONCLUSION

HBO therapy can significantly improve depressive symptoms and neurological dysfunction in patients with PSD, and reduce the levels of hypersensitive C-reactive protein, TNF-α and fasting blood glucose.

Chaihu Longgu Muli Decoction for post-stroke insomnia: A protocol for systematic review and meta-analysis

BACKGROUND

Poststroke insomnia (PSI) is a frequent complication of stroke usually as a comorbidity of poststroke depression and mainly occurs within the first 6 months after stroke.[1] Addressing PSI to improve stroke prognosis is of great value. Herbal medicine like Chaihu Longgu Muli Decoction (CLMD), which is commonly considered to be a good treatment for depression and epilepsy, has the therapeutic potential on PSI; however, insufficient systematic reviews were conducted to testify its efficacy. Therefore, the objective of this paper is to provide reliable evidence of the efficacy and safety of CLMD on PSI and a foundation for further investigation.

METHODS

The literature of clinical randomized controlled trials (RCTs) regarding CLMD for PSI published before June of 2021 will be retrieved in the databases, and 2 investigators will be asked to collect and crosscheck the data independently. For the including studies, the quality evaluation on methodology will be assessed in the light of the Cochrane Handbook for Systematic Review of Interventions V.5.1.0 as well as the quality of evidence will be evaluated by the Grading of Recommendations Assessment, Development, and Evaluation. Besides, the assessment of heterogeneity and reporting bias, the sensitivity analysis and the subgroup analysis will be conducted. Stata 15 will be applied to analyze the above data.

RESULTS

The review will conduct a high-quality synthesis on present evidence of CLMD for PSI.

CONCLUSION

The conclusion of the study will indicate whether CLMD is effective and safe for PSI.

[Insomnia in neurological patients with disabilities]

Sleep is the most important factor reflecting the level of psychophysical well-being of a person and influencing him/her to the same extent. The greater susceptibility to sleep disturbances in patients with disabilities is associated with numerous factors. In the existing literature, there are few studies of insomnia in people with neurological disabilities. This article presents a current view on sleep disorders in disabled people and methods for their treatment.

Self-Reported Sleep Disturbance is an Independent Predictor of All-Cause Mortality and Respiratory Disease Mortality in US Adults: A Population-Based Prospective Cohort Study

Objective: Self-reported sleep disturbance is common but its association with mortality has rarely been investigated. Methods: This prospective cohort analysis included 41,257 participants enrolled in the National Health and Nutrition Examination Survey from 2005 to 2018. Self-reported sleep disturbance in the present study refers to the patients who have ever consulted doctors or other professionals for trouble sleeping. Univariate and multivariate survey-weighted Cox proportional hazards models were used to evaluate the association of self-reported sleep disturbance with all-cause and disease-specific mortality. Results: Approximately 27.0% of US adults were estimated to have self-reported sleep disturbance. After adjusting for all sociodemographic variables, health behavioral factors, and common comorbidities, participants with self-reported sleep disturbance tend to have higher all-cause mortality risk with a hazard ratio (HR) of 1.17 (95% CI, 1.04-1.32) and chronic lower respiratory disease mortality risk (HR, 1.88; 95% CI, 1.26-2.80), but not cardiovascular disease mortality risk (HR, 1.19; 95% CI, 0.96-1.46) and cancer mortality risk (HR, 1.10; 95% CI, 0.90-1.35). Conclusion: Self-reported sleep disturbance could be associated with higher mortality in adults, and may need to be paid more attention in public health management.