Relationship between sleep disorders and the prognosis of neurological function after stroke

Association of plasma neurofilament light protein concentration with sleep disturbance after intracerebral hemorrhage

Background

Intracerebral hemorrhage (ICH) represents a critical subtype of stroke characterized by substantial morbidity and mortality. Emerging research indicates that neurofilament light protein (NfL), a biomarker indicative of neuronal damage, may offer valuable prognostic information regarding outcomes and recovery trajectories post-ICH. This study seeks to elucidate the relationship between plasma NfL (pNfL) concentrations and long-term patient outcomes, with a particular focus on sleep disturbances following ICH.

Methods

We conducted a cohort study comprising 26 healthy controls and 49 patients who had experienced ICH. The Glasgow Coma Scale (GCS) was assessed upon admission. Plasma samples were collected at admission and on 3, 7, and 14 days post-ICH. Then pNfL levels were quantified using Enzyme-Linked Immunosorbent Assay (ELISA). Clinical outcomes were evaluated at 6 months post-ICH using the Glasgow Outcome Scale-Extended (GOSE) and the Pittsburgh Sleep Quality Index (PSQI). Receiver operating characteristic (ROC) curves and the areas under the ROC curves (AUC) were utilized to determine the accuracy of hemorrhage volume and pNfL levels in identifying sleep disturbances.

Results

pNfL levels were elevated in patients with ICH compared to healthy controls. Longitudinal analysis indicated an increasing trend in pNfL levels over the initial 7 days post-admission. pNfL levels demonstrated an AUC for distinguishing ICH patients from controls (admission for 0.92, post-ICH 3d for 0.98). In ICH patients, pNfL levels showed a positive correlation with hemorrhage volume and PSQI, and a negative correlation with GCS and GOSE. The AUCs for pNfL levels and hemorrhage volume, which were indicative of sleep disturbances, were 0.82 and 0.75, respectively. Furthermore, the combined assessment of pNfL levels and hemorrhage volume exhibited superior predictive performance compared to the evaluation of each factor individually.

Conclusion

pNfL represents a promising biomarker for predicting functional outcomes and evaluating sleep disturbances in patients following ICH. Elevated levels of NfL at admission are associated with poorer prognoses and increased sleep-related issues, indicating that monitoring pNfL could be valuable for prognostication and the implementation of targeted interventions.

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.

Sleep dysfunction in stroke survivors impacts caregiver burden and functional recovery-an observational study

PURPOSE

Sleep dysfunction is often reported post-stroke, but its impact on short-term outcomes and caregiver burden remains less studied. Here, we studied the prevalence of sleep dysfunction and its relationship with self-reported depression, caregiver burden, and functional outcome after stroke.

METHODS

Prospective observational study where consecutive patients with acute ischemic stroke were recruited at 3 months follow-up visit from stroke outpatient clinic from January 2022-March 2023. After informed consent, all the recruited patients were administered 5 questionnaires[Epworth Sleepiness Scale, Insomnia Severity Index, and Pittsburgh Sleep Quality Index for sleep, Patient Health Quality 9 for depression, and Zarit's Caregiver Burden Scale]. 20% of patients underwent overnight ambulatory level 3 polysomnography. Clinical and sleep characteristics were correlated with functional outcome and caregiver burden scores at 3 and 6 months follow-up.

RESULTS

Of 100 patients, with a mean age of 62.2 ± 11.2 years, 67% had moderate to severe strokes at admission with mean National Institute of Health Stroke Scale [NIHSS] 8.3 ± 6.24.63% reporting one or more sleep disturbances post-stroke. 20% had hypersomnolence,35% had insomnia and 40% had poor sleep quality at 3 months after stroke.45% reported depression and 22% caregivers reported significant burden. Caregiver burden had a strong correlation with patient-reported hypersomnolence and poor sleep quality. Sleep dysfunction showed a significant association with poor functional outcomes at 6 months after stroke.

CONCLUSION

Sleep dysfunction is present in a significant number of ischemic stroke survivors 3 months after stroke and can contribute to poor functional outcomes and caregiver stress. The impact of early recognition and timely treatment of sleep dysfunction post-stroke needs to be studied in larger populations.

Prevalence, incidence, and the time trends of sleep-disordered breathing among patients with stroke: a systematic review and meta-analysis

BACKGROUND

Recent studies have investigated the epidemiological burden of sleep-disordered breathing (SDB) in patients with stroke; however, the results have been inconsistent, and the temporal trends of SDB after stroke remain unclear.

OBJECTIVE

To perform a systematic review and meta-analysis of the prevalence and incidence of post-stroke SDB, evaluate demographic and clinical characteristic predictors of post-stroke SDB, and examine temporal trends in the overall burden of post-stroke SDB.

METHODS

We searched PubMed, MEDLINE, Embase, Web of Science, CINAHL, and the Cochrane Library for studies reporting the burden of SDB in stroke patients published between 1 January 2010 and 30 December 2023. Two researchers independently screened the records for eligibility, extracted the data, and assessed the quality of the studies. Data were analyzed using random effects meta-analyses, and sources of heterogeneity were explored using subgroup analyses and meta-regression analyses.

RESULTS

Out of the 8,799 references retrieved, none examined the incidence of SDB after stroke. However, 85 studies from 26 countries examined the prevalence of SDB and were included. The overall prevalence of SDB, mild SDB, and moderate to severe SDB were 60.0% (95% CI, 60.0-70.0%), 30.0% (95% CI, 23.0-37.0%), and 45.0% (95% CI, 33.0-57.0%), respectively. Meta-regression revealed that sex (p < 0.0001) and sample size (p < 0.01) were sources of heterogeneity among the studies. The pooled overall prevalence of SDB remained stable over time.

CONCLUSION

SDB is common in patients with stroke, and no reduction in the high prevalence of SDB has been observed over time, suggesting that early screening and prevention of post-stroke SDB still have not received sufficient attention. Moreover, additional studies investigating the incidence of this disease are needed to inform clinical practice.

The Influence of Obstructive Sleep Apnea on Post-Stroke Complications: A Systematic Review and Meta-Analysis

Objectives: Evidence shows that obstructive sleep apnea (OSA) is associated with the development of stroke. This study investigates the relationship between OSA and post-stroke complications, addressing the limited data on how OSA influences the severity and development of these complications through a systematic review of existing literature. Methods: Data was collected from PubMed, Web of Science, and Scopus databases up to December 2023. Studies meeting the inclusion criteria were selected, and statistical analyses were performed using Review Manager 5.4.1. A random-effects model was used for pooling data with heterogeneity, and findings were presented using standard ratios with 95% confidence intervals. Results: The analysis included nine studies. Stroke patients with OSA did not show a significantly higher risk of post-stroke complications, which include mild cognitive impairment, dementia, insomnia, fatigue, reduced sleep quality, depression, anxiety, recurrent strokes, and death, compared with those without OSA (RR = 1.05, 95% CI 0.97 to 1.13). However, patients with high stroke severity and OSA had a slightly higher risk of post-stroke complications (RR = 1.06, 95% CI 1.01 to 1.12). Conclusions: This systematic review and meta-analysis suggests that OSA confers a higher risk of post-stroke complications in patients with high stroke severity. Further studies are required to explore the impact of OSA on post-stroke complications.

Presence of Self-Reported Sleep Alterations After Stroke and Their Relationship With Disability: A Longitudinal Study

BACKGROUND

Sleep disorders have a prevalence of 30% to 70% in post-stroke individuals. The presence of sleep disorders and poor sleep quality after stroke can affect important functions and lead to worse outcomes. However, most studies are restricted to the acute post-stroke stage only.

OBJECTIVE

To investigate the frequency of self-reported sleep alterations in a sample of chronic stroke individuals and to identify which self-reported sleep alterations were associated with disability.

METHODS

Prospective exploratory study. Self-reported sleep alterations were measured by the Pittsburgh Sleep Quality Index, Insomnia Severity Index, Epworth Sleepiness Scale, and STOP-Bang Questionnaire. The dependent variable was measured 3 years after the first contact by the Modified Rankin Scale (mRS). Step-wise multiple linear regression analysis was employed to identify which sleep alterations were associated with disability.

RESULTS

Sixty-five individuals with stroke participated. About 67.7% of participants had poor sleep quality, 52.4% reported insomnia symptoms, 33.9% reported excessive daytime sleepiness, and 80.0% were classified as intermediate or high risk for obstructive sleep apnea. Only risk for obstructive sleep apnea was significantly associated with disability and explained 5% of the variance in the mRS scores.

CONCLUSION

Self-reported sleep alterations had a considerable frequency in a sample of chronic stroke individuals. The risk of obstructive sleep apnea was associated with disability in the chronic stage of stroke. Sleep alterations must be considered and evaluated in the rehabilitation process even after a long period since the stroke onset.

The effect of the interaction of sleep onset latency and age on ischemic stroke severity via inflammatory chemokines

OBJECTIVE

Prolonged sleep onset latency (PSOL) and age have been linked to ischemic stroke (IS) severity and the production of chemokines and inflammation, both of which contribute to IS development. This study aimed to explore the relationship between chemokines, inflammation, and the interplay between sleep onset latency (SOL) and age in influencing stroke severity.

METHODS

A cohort of 281 participants with mild to moderate IS was enrolled. Stroke severity was assessed using the National Institutes of Health Stroke Scale (NIHSS), and SOL was recorded. Serum levels of macrophage inflammatory protein-1alpha (MIP-1α), macrophage inflammatory protein-1beta (MIP-1β), monocyte chemoattractant protein-1 (MCP-1), interleukin-6 (IL-6), and tumor necrosis factor-alpha (TNF-α) were measured.

RESULTS

NIHSS scores of middle-aged participants with PSOL were significantly higher than those with normal sleep onset latency (NSOL) (p = 0.046). This difference was also observed when compared to both the elderly with NSOL (p = 0.022), and PSOL (p < 0.001). Among middle-aged adults with PSOL, MIP-1β exhibited a protective effect on NIHSS scores (β = -0.01, t = -2.11, p = 0.039, R2 = 0.13). MIP-1α demonstrated a protective effect on NIHSS scores in the elderly with NSOL (β = -0.03, t = -2.27, p = 0.027, R2 = 0.12).

CONCLUSION

This study reveals a hitherto undocumented association between PSOL and IS severity, along with the potential protective effects of MIP-1β in mitigating stroke severity, especially among middle-aged patients.