Analysis of Factors Affecting Post-Stroke Fatigue: An Observational, Cross-Sectional, Retrospective Chart Review Study

Post-stroke fatigue (PSF) is one of the most common emotional and mood disorders in stroke survivors. Several studies have suggested associations between PSF and various factors. However, they describe conflicting results. Therefore, this study aimed to evaluate the factors affecting PSF. We retrosp...

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Autores principales:	Seungwon Kwon, Chul Jin, Seung-Yeon Cho, Seong-Uk Park, Woo-Sang Jung, Sang-Kwan Moon, Jung-Mi Park, Chang-Nam Ko, Ki-Ho Cho
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	post-stroke fatigue depression cognitive dysfunction platelet to lymphocyte ratio retrospective chart review study Medicine R
Acceso en línea:	https://doaj.org/article/fccf43f3704f460ba56f6df6b2e121d8
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id	oai:doaj.org-article:fccf43f3704f460ba56f6df6b2e121d8
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spelling	oai:doaj.org-article:fccf43f3704f460ba56f6df6b2e121d82021-11-25T17:46:40ZAnalysis of Factors Affecting Post-Stroke Fatigue: An Observational, Cross-Sectional, Retrospective Chart Review Study10.3390/healthcare91115862227-9032https://doaj.org/article/fccf43f3704f460ba56f6df6b2e121d82021-11-01T00:00:00Zhttps://www.mdpi.com/2227-9032/9/11/1586https://doaj.org/toc/2227-9032Post-stroke fatigue (PSF) is one of the most common emotional and mood disorders in stroke survivors. Several studies have suggested associations between PSF and various factors. However, they describe conflicting results. Therefore, this study aimed to evaluate the factors affecting PSF. We retrospectively reviewed the medical records of 178 hospitalized stroke patients. The collected data were compared between the PSF and control groups. To evaluate the association between factors and PSF, regression analysis was conducted. A total of 96 patients (53.9%) were assigned to the PSF group, and 82 patients were assigned to the control group. Age, neurological deficits, cognitive dysfunction, degree of depression, hs-CRP, and ESR differed significantly between the two groups. For both types of stroke, multiple linear regression analyses showed that degree of depression and degree of inflammation were significantly associated with PSF. Through subgroup analysis, multiple linear regression analyses showed that the degree of depression in ischemic and hemorrhagic stroke and the platelet-to-lymphocyte ratio in hemorrhagic stroke had a significant association with PSF. In conclusion, post-stroke depression and degree of inflammation could be clinically significant predictors of PSF in all types of stroke patients. However, larger, prospective studies are required to obtain more concrete results.Seungwon KwonChul JinSeung-Yeon ChoSeong-Uk ParkWoo-Sang JungSang-Kwan MoonJung-Mi ParkChang-Nam KoKi-Ho ChoMDPI AGarticlepost-stroke fatiguedepressioncognitive dysfunctionplatelet to lymphocyte ratioretrospective chart review studyMedicineRENHealthcare, Vol 9, Iss 1586, p 1586 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	post-stroke fatigue depression cognitive dysfunction platelet to lymphocyte ratio retrospective chart review study Medicine R
spellingShingle	post-stroke fatigue depression cognitive dysfunction platelet to lymphocyte ratio retrospective chart review study Medicine R Seungwon Kwon Chul Jin Seung-Yeon Cho Seong-Uk Park Woo-Sang Jung Sang-Kwan Moon Jung-Mi Park Chang-Nam Ko Ki-Ho Cho Analysis of Factors Affecting Post-Stroke Fatigue: An Observational, Cross-Sectional, Retrospective Chart Review Study
description	Post-stroke fatigue (PSF) is one of the most common emotional and mood disorders in stroke survivors. Several studies have suggested associations between PSF and various factors. However, they describe conflicting results. Therefore, this study aimed to evaluate the factors affecting PSF. We retrospectively reviewed the medical records of 178 hospitalized stroke patients. The collected data were compared between the PSF and control groups. To evaluate the association between factors and PSF, regression analysis was conducted. A total of 96 patients (53.9%) were assigned to the PSF group, and 82 patients were assigned to the control group. Age, neurological deficits, cognitive dysfunction, degree of depression, hs-CRP, and ESR differed significantly between the two groups. For both types of stroke, multiple linear regression analyses showed that degree of depression and degree of inflammation were significantly associated with PSF. Through subgroup analysis, multiple linear regression analyses showed that the degree of depression in ischemic and hemorrhagic stroke and the platelet-to-lymphocyte ratio in hemorrhagic stroke had a significant association with PSF. In conclusion, post-stroke depression and degree of inflammation could be clinically significant predictors of PSF in all types of stroke patients. However, larger, prospective studies are required to obtain more concrete results.
format	article
author	Seungwon Kwon Chul Jin Seung-Yeon Cho Seong-Uk Park Woo-Sang Jung Sang-Kwan Moon Jung-Mi Park Chang-Nam Ko Ki-Ho Cho
author_facet	Seungwon Kwon Chul Jin Seung-Yeon Cho Seong-Uk Park Woo-Sang Jung Sang-Kwan Moon Jung-Mi Park Chang-Nam Ko Ki-Ho Cho
author_sort	Seungwon Kwon
title	Analysis of Factors Affecting Post-Stroke Fatigue: An Observational, Cross-Sectional, Retrospective Chart Review Study
title_short	Analysis of Factors Affecting Post-Stroke Fatigue: An Observational, Cross-Sectional, Retrospective Chart Review Study
title_full	Analysis of Factors Affecting Post-Stroke Fatigue: An Observational, Cross-Sectional, Retrospective Chart Review Study
title_fullStr	Analysis of Factors Affecting Post-Stroke Fatigue: An Observational, Cross-Sectional, Retrospective Chart Review Study
title_full_unstemmed	Analysis of Factors Affecting Post-Stroke Fatigue: An Observational, Cross-Sectional, Retrospective Chart Review Study
title_sort	analysis of factors affecting post-stroke fatigue: an observational, cross-sectional, retrospective chart review study
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/fccf43f3704f460ba56f6df6b2e121d8
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Analysis of Factors Affecting Post-Stroke Fatigue: An Observational, Cross-Sectional, Retrospective Chart Review Study

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