Relationship between sleep disorders and neuropsychiatric symptoms in Parkinson's disease: A narrative review
| Autor: | Anastasiia Shkodina, Tymur Iengalychev, Kateryna Tarianyk, Dmytro Boiko, Nataliia Lytvynenko, Andrii Skrypnikov |
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| Rok vydání: | 2022 |
| Předmět: | |
| Zdroj: | Acta Facultatis Medicae Naissensis. 39:259-274 |
| ISSN: | 2217-2521 0351-6083 |
| DOI: | 10.5937/afmnai39-33652 |
| Popis: | Aim: The objective of this narrative review was to describe the versatile links between mental status and sleep in patients with Parkinson's disease. Methods: We searched randomized controlled studies, observational studies, meta-analyses, systematic reviews, and case reports written in English in PubMed during 2015 - 2021. Additionally, to ensure the completeness of the review, a second, more in-depth literature search was performed using the same electronic database with the search inquiries of increased specificity. Results: The information on pathophysiology, epidemiology, clinical features and risk factors was extracted and formed the basis for this review. Despite how widespread sleep disorders in Parkinson's disease are, there is no systematic information about their association with neuropsychiatric symptoms, such as depression, anxiety, impulse control disorders, apathy, cognitive impairment and psychosis. In this review, we described relationships between these non-motor symptoms of Parkinson's disease, their timeline occurrence, gap in knowledge and perspectives for further research. We suppose that early treatment of sleep disorders in patients with Parkinson's disease can reduce the incidence and extent of neuropsychiatric symptoms. Conclusion: We have demonstrated multiple, multidirectional relationships between sleep disorders and neuropsychiatric symptoms. However, some of them remain unexplored. The described knowledge can be applied to further study the possibility of influencing neuropsychiatric symptoms through the correction of sleep disorders in patients with different stages of Parkinson's disease. |
| Databáze: | OpenAIRE |
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