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cc-by-nc-nd (c) National Stroke Association, 2024
Si us plau utilitzeu sempre aquest identificador per citar o enllaçar aquest document: https://hdl.handle.net/2445/219883

Clinical and neuroanatomical predictors of post-stroke fatigue

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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.

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GARCÍA BOUYSSOU, I., LAREDO GREGORIO, Carlos, MASSONS, M., SERRANO, Mònica (serrano gutiérrez), MOREIRA, F., CABERO ARNOLD, Andrea, URRA, Xabier, CHAMORRO SÁNCHEZ, Ángel. Clinical and neuroanatomical predictors of post-stroke fatigue. _Journal of Stroke & Cerebrovascular Diseases_. 2024. Vol. 33, núm. 6. [consulta: 8 de abril de 2026]. ISSN: 1052-3057. [Disponible a: https://hdl.handle.net/2445/219883]

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