Post-stroke fatigue: how it relates to motor fatigability and other modifiable factors in people with chronic stroke

Rahamatali, M; Bont, N. de; Valet, Maxime; Halkin, V.; Hanson, Philippe; Deltombe, Thierry; Lejeune, Thierry; Selves, Clara

doi:10.1007/s13760-020-01453-9

Cited by 20 publications

(19 citation statements)

References 41 publications

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“…This may also explain a relatively high prevalence of fatigue (around 70%) in the current study. This rate is, however, consistent with other studies, for example a recent one 43 that reported PSF in 71% of study participants (assessed at >6 months post-stroke with the Fatigue Severity Score (FSS) validated as a PSF measure), and ranges provided by several meta-analyses and reviews, e.g., 29-70% 2 or 25-85%, 44 with a pooled prevalence estimate of 50% of stroke survivors experiencing fatigue within the first two years. 45 Fatigue in our study was assessed at three months after stroke onset, so it could be associated with recovery processes.…”

Section: Limitationssupporting

confidence: 93%

“…Therefore, while secondary analyses successfully distinguished the resting-state neural correlates of the two sequelae, we cannot conclusively rule out the influence that depression may exert on our results nor the possibility that some form of depression-fatigue interaction may be present. Note that previous studies that assessed PSF with the FSS have reported that up to 46% of variance in fatigue could be explained by the presence of depression, suggesting that fatigue and depression are interlinked 43 and difficult to dissociate even if a specialized fatigue questionnaire validated for PSF is used. Yet, our findings should be replicated in a targeted study of PSF using specifically validated measures, like the FSS.…”

Section: Limitationsmentioning

confidence: 98%

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Post-stroke fatigue is associated with resting state posterior hypoactivity and prefrontal hyperactivity

Cotter

Khlif

Bird

et al. 2021

International Journal of Stroke

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Tumor detection supported by Raman spectroscopy is becoming increasingly popular, yet the relevance of spectral variation and feature selection retains unclear. Here we determined the correlation and difference between spectral characteristic and feature evaluation for leukocytes and tumor cells. Some peaks were found to show noticeable spectral differences, and their intensity distributions were investigated, finding using Log-Normal distribution to describe Raman intensity pattern may be more appropriate. Further the importance of all Raman features was calculated, where some other peak features occupied the top status. By surveying the intensity variation and feature evaluation for those peaks, we concluded the peak with the highest importance does not correspond to the peak location with the most noticeable intensity difference in spectra. Moreover, the peak-intensity-ratio of I<sub>1517</sub>/I<sub>719</sub> associated with protein to nucleic acid level presented the maximum separation, thus it can be recognized as a special indicator to develop an alternative cancer detection. It is inspiring to introduce advanced statistical models into bio-spectroscopic fields but those intrinsic spectral variations rather than classification performance should be valued. Our explorations can provide possibilities to reveal the essences within tumor carcinogenesis based on Raman spectroscopy, further overwhelming the obstacles during the translation into clinical applications.

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Section: Limitationssupporting

confidence: 93%

Section: Limitationsmentioning

confidence: 98%

Post-stroke fatigue is associated with resting state posterior hypoactivity and prefrontal hyperactivity

Cotter

Khlif

Bird

et al. 2021

International Journal of Stroke

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“…42 This is evident as our results show that most of the included studies in Asia have participants with only ischaemic stroke (n = 6), [31][32][33][50][51][52] whereas those in the Europe include patients with either both types of stroke (n = 11) or only haemorrhagic stroke (n = 4). [34][35][36]43,44,[47][48][49][53][54][55][56][57][58] A post-hoc sensitivity analysis supporting this demonstrates that studies in Europe that only included patients with ischaemic stroke have a similar PSF proportion to the ones conducted in Asia (37% vs 37%). 29,30,45,59 To develop a comprehensive picture of why PSF is more prevalent in Europe than in East Asia, and to test our theory, further investigations are recommended.…”

Section: Discussionmentioning

confidence: 78%

Prevalence of fatigue after stroke: A systematic review and meta-analysis

Alghamdi

Ariti

Williams

et al. 2021

European Stroke Journal

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Background and Purpose Post-stroke fatigue is a debilitating and long-lasting condition. However, there are uncertainties regarding its prevalence and variability between studies. This review aims to estimate the prevalence of fatigue and determine the factors responsible for its variation in the literature. Methods A systematic review was conducted for all published studies (search to November 2020) using AMED, CINAHL, EMBASE, MEDLINE, PsycINFO, SCOPUS and Web of Science. Papers were included if they recruited participants with stroke, used a validated scale to measure fatigue and were in English. Two reviewers screened and assessed the relevant studies for eligibility ( n = 96). The included papers were appraised using the Joanna Briggs Institute (JBI) tool for prevalence studies, and data were extracted by one reviewer. To understand the variation in PSF prevalence between papers, data were pooled and analysed based on relevant methodological (e.g. time of assessment) or clinical factors (e.g. depression) using Review Manager 5.4 software. Results While 48 studies were included and summarised ( N = 9004), only 35 were appropriate for the meta-analysis ( N = 6851). The most frequently used tool to measure fatigue was the Fatigue Severity Scale (FSS) ( n = 31). The prevalence was calculated with a cut-off point of four or more using FSS and resulted in an estimate of 48% (95% CI 42–53%). Time of assessment (<6 vs ≥6 months), stroke type (ischaemic vs haemorrhagic/subarachnoid haemorrhage) and geographical location (East Asia vs Europe) could explain the prevalence variation between studies. Conclusions Fatigue is prevalent among stroke survivors. This condition varies in terms of occurrence between studies; however, time of assessment, stroke type and geographical location might explain this variation. As this review estimates the overall burden of fatigue after stroke, it provides a useful indicator to inform policy, planning and healthcare professionals. Further efforts are required to investigate the mechanisms that lead to PSF, particularly in the groups that show high prevalence, in order to prevent or alleviate it.

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“…The second analysis studied the correlation between the distance covered by persons with stroke during the 2'6MWT and the distance covered during the whole 6MWT. This analysis was performed on data collected among 82 persons with stroke composed of two samples: the 20 persons included in the first analysis (sample 1), and 62 persons who participated in a previous study about poststroke fatigue [16] (sample 2) to improve power and confidence of statistical analyses. Among an extensive functional assessment, these 62 subjects performed a 6MWT following the same recommended protocol described above.…”

Section: Methodsmentioning

confidence: 99%

The 2-min walk test could replace the 6-min walk test in ambulant persons with subacute or chronic stroke: a two-stage retrospective study

Valet

Pierchon

Lejeune

2022

International Journal of Rehabilitation Research

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The 6-minute walk test (6MWT) is widely used to assess walking capacity among persons with stroke. Whether a shorter and more convenient test, the 2-minute walk test (2MWT) could replace it, was tested. Two retrospective analyses were conducted. The first one was performed on a sample of 20 persons with stroke who performed both the 2MWT and the 6MWT, and the second one, on a group of 82 persons with stroke who performed the 6MWT while measuring the distance covered each minute. Linear regression models were applied to test the validity of 2MWT with regard to 6MWT. In the first group, distances covered during the 2MWT were highly predictive of the distances covered during the 6MWT (estimated adjusted R² = 0.98; P < 0.001). In the second group, distances covered by participants during the first 2 min of the 6MWT were highly and linearly related to the distances they covered during the whole 6MWT (estimated adjusted R² = 0.98; P < 0.001). Furthermore, the distance covered during the first 2 min of the whole 6MWT allowed us to predict 98% of the variance of the 6MWT. Given its good metric properties and its practical advantages, clinicians and researchers could reasonably use the 2MWT when assessing the walking capacity of persons with stroke, instead of the 6MWT.

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Post-stroke fatigue: how it relates to motor fatigability and other modifiable factors in people with chronic stroke

Cited by 20 publications

References 41 publications

Post-stroke fatigue is associated with resting state posterior hypoactivity and prefrontal hyperactivity

Post-stroke fatigue is associated with resting state posterior hypoactivity and prefrontal hyperactivity

Prevalence of fatigue after stroke: A systematic review and meta-analysis

The 2-min walk test could replace the 6-min walk test in ambulant persons with subacute or chronic stroke: a two-stage retrospective study

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