Sleep quality after stroke: A systematic review and meta-analysis

Luo, Ye; Yu, Guofeng; Liu, Yuanfei; Zhuge, Cheng-Jun; Zhu, Yuqing

doi:10.1097/md.0000000000033777

Cited by 7 publications

(3 citation statements)

References 29 publications

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“…The prevalence of sleep quality in this study when compared to other studies, it is in line with the finding of the pooled estimate of poor sleep quality among chronic kidney disease patients (59%) (17) and a single study in Nigeria among chronic kidney disease patients (54). Additionally, the pooled prevalence of poor sleep quality for patients with chronic illness in this study is comparable to the global prevalence of poor sleep quality among cancer patients (57.4%) (19), and the pooled prevalence of poor sleep quality among stroke patients (53%) (55). On the contrary, the finding of this review is higher than the pooled prevalence of poor sleep quality among patients with Inflammatory bowel disease (19).…”

Section: Discussionsupporting

confidence: 56%

Sleep quality among patients with chronic illness in Ethiopia: systematic review and meta-analysis

Edmealem,

Tegegne,

Alem

et al. 2024

Front. Psychiatry

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BackgroundPoor sleep quality impedes the progression of chronic illnesses, while chronic illnesses themselves are caused by poor sleep quality. Despite this fact, there is no research that has been conducted in Ethiopia that provides a thorough estimate of the self-reported sleep quality among patients with chronic illnesses. In order to present a complete picture of poor sleep quality among diabetes, hypertension, heart failure, cancer, HIV/AIDS and epilepsy patients, this systematic review and meta-analysis was carried out.MethodsSystematic review and meta-analysis was conducted to estimate the quality of sleep among patients with chronic illness in Ethiopia. The Preferred Reporting Items for Systematic Review and Meta Analysis standard was followed in the reporting of this systematic review and meta-analysis. An extensive exploration of digital repositories, including PubMed, EMBASE, Cochrane, Africa Journal of Online, Google Scholar, and an advanced Google search, was conducted to obtain published studies until December 1st, 2023 detailing poor sleep quality of patients with chronic illness. STATA version 17 commands were used to create the pooled estimate. The I2 test and Egger’s test, respectively, were used to identify the presence of heterogeneity and publication bias. To manage heterogeneity, a subgroup analysis and random effect model were used.ResultsA total 21 articles with a total of 7393 participants were included in the final systematic review and meta-analysis. The pooled estimate of poor sleep quality among patients with chronic illness was 52% (95% of CI: 48%, 59%; I2 = 97.26%). In subgroup analysis, the highest pooled estimate of poor sleep quality was observed in cancer patients 63% (95% CI: (95% CI: 45% - 80%). Regarding to data collection period, the highest pooled estimate of poor sleep quality was seen during spring 68% (95% CI: 42% - 94%).ConclusionsPatients with chronic illnesses in Ethiopia had a high pooled estimate of poor sleep quality. Patients with cancer had the highest pooled estimate of poor-quality sleep compared with other patients. Patients with chronic illnesses had trouble sleeping in the spring, according to this systematic review and meta-analysis. Therefore, attention and intervention should be given to enhance the quality of sleep for patients with chronic illnesses.

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Section: Discussionsupporting

confidence: 56%

Sleep quality among patients with chronic illness in Ethiopia: systematic review and meta-analysis

Edmealem,

Tegegne,

Alem

et al. 2024

Front. Psychiatry

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“…The dawn phenomenon is common in diabetic patients, but, given the effects of stress on stroke patients, whether it leads to very high levels of hyperglycemia needs further investigation. In these lines, DePietro et al ( 2016) have also associated high fasting glucose values in the morning with the duration and quality of sleep in hospitalized patients, and indeed, stroke patients' quality of sleep appears to be disturbed in other studies too [27,28].…”

Section: Discussionmentioning

confidence: 98%

Hyperglycemic Patterns in Acute Stroke Patients

Fountouki,

Tegos,

Ztriva

et al. 2024

Cureus

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Background and objective Hyperglycemia following a stroke can independently aggravate the ischemic area. Ensuring adequate glucose management can help avoid complications and minimize mortality and disability in these patients. This study aimed to investigate hyperglycemic patterns in acute stroke patients. Materials and methods We conducted a non-interventional prospective observational study involving acute stroke patients by employing continuous glucose monitoring (CGM) for 72 hours after the onset of stroke symptoms. Admission glucose, patients' total mean glucose (TMG), and time in range (TIR) (70-140 mg/dl) were correlated with the hyperglycemic patterns elicited by the CGM system software. Data were analyzed using SPSS Statistics 26.0 (IBM Corp., Armonk, NY) with descriptive statistics, the Kruskal-Wallis test, and χ2 test. Results Our cohort comprised 105 diabetic and non-diabetic stroke patients. The hyperglycaemic patterns that we observed were as follows: (i) hyperglycemia from 23:00 to 10:00, (ii) 06.00 to 10.00, (iii) at night and after meals, iv) no pattern, v) unspecified patterns. Patients with nocturnal and morning hyperglycemia had admission glucose of 183 mg/dl, mean 72-hour glucose of 156 mg/dl, and TIR of 37%. Patients who did not develop a hyperglycemic pattern either had admission glucose of 131 mg/dl and TIR of 89% or had high admission glucose (197 mg/dl) and a short TIR (14%). Conventional pre-meal capillary glucose tests do not appear to detect these patients' hyperglycemic tendencies. Conclusions These results may indicate the necessity for more intensive measurements during the night or dawn in this patient population. Admission glucose could be considered a predictor of hyperglycemic patterns and contribute to the patient's care plan.

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“…A meta-analysis of sleep quality after stroke indicates that poor sleep quality affects 53% of stroke patients. 59 In 2020, a European task force of sleep and stroke researchers emphasized the necessity for clear guidelines to identify, adequately diagnose, and manage sleep disorders in stroke patients, prompting important investigations. 3 The Sleep-disordered breathing in transient ischemic attack (TIA)/Ischemic stroke and continuous positive airway pressure (CPAP) treatment efficacy study conducted by Miano et al 60 reports severe changes of sleep architecture in individuals with stroke or transient ischemic attack, with sleep efficiency and REM sleep being affected the most.…”

Section: Sleep Disorders After Strokementioning

confidence: 99%

Sleep disorders as both risk factors for, and a consequence of, stroke: A narrative review

Mayer-Suess,

Ibrahim,

Moelgg

et al. 2023

International Journal of Stroke

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Background and purpose Sleep disorders are increasingly implicated as risk factors for stroke, as well as a determinant of stroke outcome. They can also occur secondary to the stroke itself. In this review we describe the variety of different sleep disorders associated with stroke, and analyze their effect on stroke risk and outcome. Methods A search term-based literature review (“sleep”, “insomnia”, “narcolepsy”, “restless legs syndrome”, “periodic limb movements during sleep”, “excessive daytime sleepiness” AND “stroke” OR “cerebrovascular” in PubMed; “stroke” and “sleep” in ClinicalTrials.gov) was performed. English articles from 1990 to March 2023 were considered. Results Increasing evidence suggests that sleep disorders are risk factors for stroke. In addition, sleep disturbance has been reported in half of all stroke sufferers; specifically an increase in not only sleep-related breathing disorders, but also periodic limb movements during sleep, narcolepsy, REM sleep behavior disorder, insomnia, sleep duration- and circadian rhythm sleep-wake disorders. Post-stroke sleep disturbance has been associated with worse outcome. Conclusion Sleep disorders are risk factors for stroke and associated with worse stroke outcome. They are also a common consequence of stroke. Recent guidelines suggest screening for sleep disorders after stroke. It is possible that treatment of sleep disorders could both reduce stroke risk, and improve stroke outcome, although further data from clinical trials is required.

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Sleep quality after stroke: A systematic review and meta-analysis

Cited by 7 publications

References 29 publications

Sleep quality among patients with chronic illness in Ethiopia: systematic review and meta-analysis

Sleep quality among patients with chronic illness in Ethiopia: systematic review and meta-analysis

Hyperglycemic Patterns in Acute Stroke Patients

Sleep disorders as both risk factors for, and a consequence of, stroke: A narrative review

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