Clinical and neuroanatomical predictors of post-stroke fatigue

Introduction: Post-stroke fatigue (PSF) has been described as early exhaustion with tiredness that develops during physical or mental activity and generally does not improve with rest. There are inconsistent findings on the relationship between the characteristics of the ischemic brain lesion and PS...

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Autores: García Bouyssou, I., Laredo Gregorio, Carlos, Massons, M., Serrano, Mònica (Serrano Gutiérrez), Moreira, F., Cabero Arnold, Andrea, Urra, Xabier, Chamorro Sánchez, Ángel
Tipo de recurso: artículo
Estado:Versión aceptada para publicación
Fecha de publicación:2024
País:España
Institución:Universidad de Barcelona
Repositorio:Dipòsit Digital de la UB
OAI Identifier:oai:diposit.ub.edu:2445/219883
Acceso en línea:https://hdl.handle.net/2445/219883
Access Level:acceso abierto
Palabra clave:Fatiga
Malalties cerebrovasculars
Dones
Diabetis
Fatigue
Cerebrovascular disease
Women
Diabetes
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spelling Clinical and neuroanatomical predictors of post-stroke fatigueGarcía Bouyssou, I.Laredo Gregorio, CarlosMassons, M.Serrano, Mònica (Serrano Gutiérrez)Moreira, F.Cabero Arnold, AndreaUrra, XabierChamorro Sánchez, ÁngelFatigaMalalties cerebrovascularsDonesDiabetisFatigueCerebrovascular diseaseWomenDiabetesIntroduction: Post-stroke fatigue (PSF) has been described as early exhaustion with tiredness that develops during physical or mental activity and generally does not improve with rest. There are inconsistent findings on the relationship between the characteristics of the ischemic brain lesion and PSF. However, some studies suggest that specific neuroanatomical and neuroplastic changes could explain post-stroke fatigue. The aim was to evaluate the severity of PSF in relation to the location and the size of the ischemic lesion in acute stroke patients to establish possible predictors of PSF. Patients and methods: We performed a prospective observational study to establish potential early predictors of long-term PSF, which was assessed using the Fatigue Assessment Scale six months after ischemic stroke. After segmenting brain infarcts on Diffusion-Weighted Imaging (DWI) images, we studied the association with PSF using Voxel-Based Lesion-Symptom Mapping (VLSM). Results: Out of 104 patients, 61 (59 %) reported PSF. Female sex and history of diabetes mellitus were associated with a greater risk of developing PSF. The association of PSF with female sex was confirmed in a replication cohort of 50 patients. The ischemic lesion volume was not associated with PSF, and VBLSM analysis did not identify any specific brain area significantly associated with PSF. Conclusions: PSF is frequent in stroke patients, especially women, even after six months. The absence of neuroanatomical correlates of PSF suggests that it is a multifactorial process with biological, psychological, and social risk factors that require further study.Elsevier Inc.2024info:eu-repo/semantics/articleinfo:eu-repo/semantics/acceptedVersionapplication/pdfhttps://hdl.handle.net/2445/219883Articles publicats en revistes (Medicina)reponame:Dipòsit Digital de la UBinstname:Universidad de BarcelonaInglésVersió postprint del document publicat a: https://doi.org/10.1016/j.jstrokecerebrovasdis.2024.107708Journal of Stroke & Cerebrovascular Diseases, 2024, vol. 33, num.6https://doi.org/10.1016/j.jstrokecerebrovasdis.2024.107708cc-by-nc-nd (c) National Stroke Association, 2024http://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:diposit.ub.edu:2445/2198832026-05-27T06:46:51Z
dc.title.none.fl_str_mv Clinical and neuroanatomical predictors of post-stroke fatigue
title Clinical and neuroanatomical predictors of post-stroke fatigue
spellingShingle Clinical and neuroanatomical predictors of post-stroke fatigue
García Bouyssou, I.
Fatiga
Malalties cerebrovasculars
Dones
Diabetis
Fatigue
Cerebrovascular disease
Women
Diabetes
title_short Clinical and neuroanatomical predictors of post-stroke fatigue
title_full Clinical and neuroanatomical predictors of post-stroke fatigue
title_fullStr Clinical and neuroanatomical predictors of post-stroke fatigue
title_full_unstemmed Clinical and neuroanatomical predictors of post-stroke fatigue
title_sort Clinical and neuroanatomical predictors of post-stroke fatigue
dc.creator.none.fl_str_mv García Bouyssou, I.
Laredo Gregorio, Carlos
Massons, M.
Serrano, Mònica (Serrano Gutiérrez)
Moreira, F.
Cabero Arnold, Andrea
Urra, Xabier
Chamorro Sánchez, Ángel
author García Bouyssou, I.
author_facet García Bouyssou, I.
Laredo Gregorio, Carlos
Massons, M.
Serrano, Mònica (Serrano Gutiérrez)
Moreira, F.
Cabero Arnold, Andrea
Urra, Xabier
Chamorro Sánchez, Ángel
author_role author
author2 Laredo Gregorio, Carlos
Massons, M.
Serrano, Mònica (Serrano Gutiérrez)
Moreira, F.
Cabero Arnold, Andrea
Urra, Xabier
Chamorro Sánchez, Ángel
author2_role author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Fatiga
Malalties cerebrovasculars
Dones
Diabetis
Fatigue
Cerebrovascular disease
Women
Diabetes
topic Fatiga
Malalties cerebrovasculars
Dones
Diabetis
Fatigue
Cerebrovascular disease
Women
Diabetes
description Introduction: Post-stroke fatigue (PSF) has been described as early exhaustion with tiredness that develops during physical or mental activity and generally does not improve with rest. There are inconsistent findings on the relationship between the characteristics of the ischemic brain lesion and PSF. However, some studies suggest that specific neuroanatomical and neuroplastic changes could explain post-stroke fatigue. The aim was to evaluate the severity of PSF in relation to the location and the size of the ischemic lesion in acute stroke patients to establish possible predictors of PSF. Patients and methods: We performed a prospective observational study to establish potential early predictors of long-term PSF, which was assessed using the Fatigue Assessment Scale six months after ischemic stroke. After segmenting brain infarcts on Diffusion-Weighted Imaging (DWI) images, we studied the association with PSF using Voxel-Based Lesion-Symptom Mapping (VLSM). Results: Out of 104 patients, 61 (59 %) reported PSF. Female sex and history of diabetes mellitus were associated with a greater risk of developing PSF. The association of PSF with female sex was confirmed in a replication cohort of 50 patients. The ischemic lesion volume was not associated with PSF, and VBLSM analysis did not identify any specific brain area significantly associated with PSF. Conclusions: PSF is frequent in stroke patients, especially women, even after six months. The absence of neuroanatomical correlates of PSF suggests that it is a multifactorial process with biological, psychological, and social risk factors that require further study.
publishDate 2024
dc.date.none.fl_str_mv 2024
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/acceptedVersion
format article
status_str acceptedVersion
dc.identifier.none.fl_str_mv https://hdl.handle.net/2445/219883
url https://hdl.handle.net/2445/219883
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Versió postprint del document publicat a: https://doi.org/10.1016/j.jstrokecerebrovasdis.2024.107708
Journal of Stroke & Cerebrovascular Diseases, 2024, vol. 33, num.6
https://doi.org/10.1016/j.jstrokecerebrovasdis.2024.107708
dc.rights.none.fl_str_mv cc-by-nc-nd (c) National Stroke Association, 2024
http://creativecommons.org/licenses/by-nc-nd/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv cc-by-nc-nd (c) National Stroke Association, 2024
http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier Inc.
publisher.none.fl_str_mv Elsevier Inc.
dc.source.none.fl_str_mv Articles publicats en revistes (Medicina)
reponame:Dipòsit Digital de la UB
instname:Universidad de Barcelona
instname_str Universidad de Barcelona
reponame_str Dipòsit Digital de la UB
collection Dipòsit Digital de la UB
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,812429

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