A Systematic Review and Meta-Analysis on the Identification of Predictors Associated With Insomnia or Sleep Disturbance in Post-stroke Patients.
| Autor: | Mohandas P; Medicine, Tbilisi State Medical University, Tbilisi, GEO., Alomari Z; Internal Medicine, Tbilisi State Medical University, Tbilisi, GEO., Arti F; Medicine, Ghulam Muhammad Mahar Medical College, Sukkur, PAK., Alhneif M; Neuropathology, University of Texas Health Science Center at San Antonio, San Antonio, USA., Alejandra Ruiz P; Public Health, Universidad Nacional de Colombia, Bogota, COL., Ahmed AK; Faculty of Medicine, Yarmouk University, Irbid, JOR., Wei CR; Research and Development, Shing Huei Group, Taipei, TWN., Amin A; Cardiology, Pakistan Navy Ship Shifa, Karachi, PAK. |
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| Jazyk: | angličtina |
| Zdroj: | Cureus [Cureus] 2024 Mar 20; Vol. 16 (3), pp. e56578. Date of Electronic Publication: 2024 Mar 20 (Print Publication: 2024). |
| DOI: | 10.7759/cureus.56578 |
| Abstrakt: | 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. Competing Interests: The authors have declared that no competing interests exist. (Copyright © 2024, Mohandas et al.) |
| Databáze: | MEDLINE |
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