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Prediction of Quality of Life in Patients With Parkinson’s Disease With and Without Excessive Daytime Sleepiness: A Longitudinal Study

OBJECTIVE: There is a lack of longitudinal studies that directly compare the quality of life (QoL) and investigate the impact of clinical factors on QoL across different excessive daytime sleepiness (EDS) statuses in Parkinson’s disease (PD); therefore, we aimed to compare QoL and reveal the potenti...

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Autores principales: Zhang, Lixia, Chen, Yajing, Liang, Xiaoniu, Wang, Lan, Wang, Jian, Tang, Yilin, Zhu, Xiaodong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9045750/
https://www.ncbi.nlm.nih.gov/pubmed/35493927
http://dx.doi.org/10.3389/fnagi.2022.846563
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author Zhang, Lixia
Chen, Yajing
Liang, Xiaoniu
Wang, Lan
Wang, Jian
Tang, Yilin
Zhu, Xiaodong
author_facet Zhang, Lixia
Chen, Yajing
Liang, Xiaoniu
Wang, Lan
Wang, Jian
Tang, Yilin
Zhu, Xiaodong
author_sort Zhang, Lixia
collection PubMed
description OBJECTIVE: There is a lack of longitudinal studies that directly compare the quality of life (QoL) and investigate the impact of clinical factors on QoL across different excessive daytime sleepiness (EDS) statuses in Parkinson’s disease (PD); therefore, we aimed to compare QoL and reveal the potential heterogeneous predictors of QoL between patients with PD with and without EDS. METHODS: We collected clinical data among 306 patients with PD over 2 years. EDS was assessed by the Epworth Sleepiness Scale and QoL was measured with the 39-item Parkinson’s Disease Questionnaire. RESULTS: We found that at both baseline and follow-up, patients with PD with EDS had poorer QoL and suffered more non-motor symptoms including depression and clinical probable rapid eye movement sleep behavior disorder (cpRBD). The generalized linear mixed model analysis indicated that the major predictors of QoL in PD with EDS were the akinetic-rigid type, disease duration, and total levodopa equivalent dose, while in PD without EDS, the primary determinants of QoL were Hoehn and Yahr, Mini-Mental State Examination (MMSE), and cpRBD. CONCLUSION: Patients with PD with EDS presented with poorer QoL. Besides, the baseline predictors of future QoL differed between patients with PD with and without EDS. These findings remind clinicians to target specific clinical factors when attempting to improve QoL among patients with PD.
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spelling pubmed-90457502022-04-28 Prediction of Quality of Life in Patients With Parkinson’s Disease With and Without Excessive Daytime Sleepiness: A Longitudinal Study Zhang, Lixia Chen, Yajing Liang, Xiaoniu Wang, Lan Wang, Jian Tang, Yilin Zhu, Xiaodong Front Aging Neurosci Neuroscience OBJECTIVE: There is a lack of longitudinal studies that directly compare the quality of life (QoL) and investigate the impact of clinical factors on QoL across different excessive daytime sleepiness (EDS) statuses in Parkinson’s disease (PD); therefore, we aimed to compare QoL and reveal the potential heterogeneous predictors of QoL between patients with PD with and without EDS. METHODS: We collected clinical data among 306 patients with PD over 2 years. EDS was assessed by the Epworth Sleepiness Scale and QoL was measured with the 39-item Parkinson’s Disease Questionnaire. RESULTS: We found that at both baseline and follow-up, patients with PD with EDS had poorer QoL and suffered more non-motor symptoms including depression and clinical probable rapid eye movement sleep behavior disorder (cpRBD). The generalized linear mixed model analysis indicated that the major predictors of QoL in PD with EDS were the akinetic-rigid type, disease duration, and total levodopa equivalent dose, while in PD without EDS, the primary determinants of QoL were Hoehn and Yahr, Mini-Mental State Examination (MMSE), and cpRBD. CONCLUSION: Patients with PD with EDS presented with poorer QoL. Besides, the baseline predictors of future QoL differed between patients with PD with and without EDS. These findings remind clinicians to target specific clinical factors when attempting to improve QoL among patients with PD. Frontiers Media S.A. 2022-04-13 /pmc/articles/PMC9045750/ /pubmed/35493927 http://dx.doi.org/10.3389/fnagi.2022.846563 Text en Copyright © 2022 Zhang, Chen, Liang, Wang, Wang, Tang and Zhu. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Zhang, Lixia
Chen, Yajing
Liang, Xiaoniu
Wang, Lan
Wang, Jian
Tang, Yilin
Zhu, Xiaodong
Prediction of Quality of Life in Patients With Parkinson’s Disease With and Without Excessive Daytime Sleepiness: A Longitudinal Study
title Prediction of Quality of Life in Patients With Parkinson’s Disease With and Without Excessive Daytime Sleepiness: A Longitudinal Study
title_full Prediction of Quality of Life in Patients With Parkinson’s Disease With and Without Excessive Daytime Sleepiness: A Longitudinal Study
title_fullStr Prediction of Quality of Life in Patients With Parkinson’s Disease With and Without Excessive Daytime Sleepiness: A Longitudinal Study
title_full_unstemmed Prediction of Quality of Life in Patients With Parkinson’s Disease With and Without Excessive Daytime Sleepiness: A Longitudinal Study
title_short Prediction of Quality of Life in Patients With Parkinson’s Disease With and Without Excessive Daytime Sleepiness: A Longitudinal Study
title_sort prediction of quality of life in patients with parkinson’s disease with and without excessive daytime sleepiness: a longitudinal study
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9045750/
https://www.ncbi.nlm.nih.gov/pubmed/35493927
http://dx.doi.org/10.3389/fnagi.2022.846563
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