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Clinical Predictors of Excessive Daytime Sleepiness in Patients with Parkinson's Disease

BACKGROUND AND PURPOSE: Excessive daytime sleepiness (EDS) is a common complaint among patients with Parkinson's disease (PD). Several factors have been associated with EDS in PD, especially neuropsychiatric symptoms. This study aimed to determine the relationships between neuropsychiatric symp...

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Autores principales: Junho, Bruno Terra, Kummer, Arthur, Cardoso, Francisco, Teixeira, Antonio Lucio, Rocha, Natalia Pessoa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Neurological Association 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6172509/
https://www.ncbi.nlm.nih.gov/pubmed/30198233
http://dx.doi.org/10.3988/jcn.2018.14.4.530
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author Junho, Bruno Terra
Kummer, Arthur
Cardoso, Francisco
Teixeira, Antonio Lucio
Rocha, Natalia Pessoa
author_facet Junho, Bruno Terra
Kummer, Arthur
Cardoso, Francisco
Teixeira, Antonio Lucio
Rocha, Natalia Pessoa
author_sort Junho, Bruno Terra
collection PubMed
description BACKGROUND AND PURPOSE: Excessive daytime sleepiness (EDS) is a common complaint among patients with Parkinson's disease (PD). Several factors have been associated with EDS in PD, especially neuropsychiatric symptoms. This study aimed to determine the relationships between neuropsychiatric symptoms, sociodemographic and clinical parameters, and EDS in PD. METHODS: This cross-sectional study analyzed 85 patients with PD. All patients underwent socioeconomic and clinical data evaluations followed by a psychiatric interview and a neurological examination, including the assessment of sleep features. Patients were divided into two groups according to the presence or absence of EDS, which was defined as a score higher than 10 on the Epworth Sleepiness Scale. Binary logistic regression was performed in order to describe the predictors of EDS. RESULTS: We found that EDS affects 40% of PD patients and is associated with older age, restless legs syndrome, depressive and anxious symptoms, and worse sleep quality. In the multivariate analysis, older age, levodopa use, and worse sleep quality remained as significant predictors of EDS in PD. CONCLUSIONS: Nighttime sleep problems, older age, and levodopa use are significantly associated with EDS in PD. A careful assessment and the management of sleep problems in PD patients might help to improve their quality of life.
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spelling pubmed-61725092018-10-11 Clinical Predictors of Excessive Daytime Sleepiness in Patients with Parkinson's Disease Junho, Bruno Terra Kummer, Arthur Cardoso, Francisco Teixeira, Antonio Lucio Rocha, Natalia Pessoa J Clin Neurol Original Article BACKGROUND AND PURPOSE: Excessive daytime sleepiness (EDS) is a common complaint among patients with Parkinson's disease (PD). Several factors have been associated with EDS in PD, especially neuropsychiatric symptoms. This study aimed to determine the relationships between neuropsychiatric symptoms, sociodemographic and clinical parameters, and EDS in PD. METHODS: This cross-sectional study analyzed 85 patients with PD. All patients underwent socioeconomic and clinical data evaluations followed by a psychiatric interview and a neurological examination, including the assessment of sleep features. Patients were divided into two groups according to the presence or absence of EDS, which was defined as a score higher than 10 on the Epworth Sleepiness Scale. Binary logistic regression was performed in order to describe the predictors of EDS. RESULTS: We found that EDS affects 40% of PD patients and is associated with older age, restless legs syndrome, depressive and anxious symptoms, and worse sleep quality. In the multivariate analysis, older age, levodopa use, and worse sleep quality remained as significant predictors of EDS in PD. CONCLUSIONS: Nighttime sleep problems, older age, and levodopa use are significantly associated with EDS in PD. A careful assessment and the management of sleep problems in PD patients might help to improve their quality of life. Korean Neurological Association 2018-10 2018-09-06 /pmc/articles/PMC6172509/ /pubmed/30198233 http://dx.doi.org/10.3988/jcn.2018.14.4.530 Text en Copyright © 2018 Korean Neurological Association http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Junho, Bruno Terra
Kummer, Arthur
Cardoso, Francisco
Teixeira, Antonio Lucio
Rocha, Natalia Pessoa
Clinical Predictors of Excessive Daytime Sleepiness in Patients with Parkinson's Disease
title Clinical Predictors of Excessive Daytime Sleepiness in Patients with Parkinson's Disease
title_full Clinical Predictors of Excessive Daytime Sleepiness in Patients with Parkinson's Disease
title_fullStr Clinical Predictors of Excessive Daytime Sleepiness in Patients with Parkinson's Disease
title_full_unstemmed Clinical Predictors of Excessive Daytime Sleepiness in Patients with Parkinson's Disease
title_short Clinical Predictors of Excessive Daytime Sleepiness in Patients with Parkinson's Disease
title_sort clinical predictors of excessive daytime sleepiness in patients with parkinson's disease
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6172509/
https://www.ncbi.nlm.nih.gov/pubmed/30198233
http://dx.doi.org/10.3988/jcn.2018.14.4.530
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