Fatigue in stroke rehabilitation patients: a pilot study

Are central and systemic inflammation associated with fatigue in cerebral small vessel disease?

BACKGROUND

Fatigue is a common symptom in cerebral small vessel disease (SVD), but its pathogenesis is poorly understood. It has been suggested that inflammation may play a role. We determined whether central (neuro) inflammation and peripheral inflammation were associated with fatigue in SVD.

METHODS

Notably, 36 patients with moderate-to-severe SVD underwent neuropsychometric testing, combined positron emission tomography and magnetic resonance imaging (PET-MRI) scan, and blood draw for the analysis of inflammatory blood biomarkers. Microglial signal was taken as a proxy for neuroinflammation, assessed with radioligand 11C-PK11195. Of these, 30 subjects had full PET datasets for analysis. We assessed global 11C-PK11195 binding and hotspots of 11C-PK11195 binding in the normal-appearing white matter, lesioned tissue, and combined total white matter. Peripheral inflammation was assessed with serum C-reactive protein (CRP) and using the Olink cardiovascular III proteomic panel comprising 92 biomarkers of cardiovascular inflammation and endothelial activation. Fatigue was assessed using the fatigue severity scale (FSS), the visual analog fatigue scale, and a subscale of the Geriatric Depression Scale.

RESULTS

Mean (SD) age was 68.7 (11.2) years, and 63.9% were male. Of these, 55.6% showed fatigue on the FSS. Fatigued participants had higher disability scores (p = 0.02), higher total GDS scores (p = 0.02), and more commonly reported a history of depression (p = 0.04). 11C-PK11195 ligand binding in the white matter was not associated with any measure of fatigue. Serum CRP was significantly associated with average fatigue score on FSS (ρ = 0.48, p = 0.004); this association persisted when controlling for age, sex, disability score, and depression (β = 0.49, 95% CI (0.17, 2.26), p = 0.03). Blood biomarkers from the Olink panel showed no association with fatigue.

CONCLUSION

In symptomatic SVD patients, neuroinflammation, assessed with microglial marker 11C-PK11195, was not associated with fatigue. We found some evidence for a role of systematic inflammation, evidenced by an association between fatigue severity and raised CRP, but further studies are required to understand this relationship and inform whether it could be therapeutically modified to reduce fatigue severity.

DATA ACCESS STATEMENT

Data for this study are available from the corresponding author upon reasonable request.

Neuroimaging correlates of post-stroke fatigue: A systematic review and meta-analysis

BACKGROUND

Fatigue is a common and disabling symptom following stroke, but its underlying mechanisms are unknown. Associations with a number of imaging features have been proposed.

AIMS

We aimed to assess whether neuroimaging parameters could better inform our understanding of possible causes of post-stroke fatigue (PSF) through systematic review and meta-analysis.

METHODS

Using a predefined protocol registered with PROSPERO (ID: CRD42022303168), we searched EMBASE, MEDLINE, PubMed, and PsycInfo for studies assessing PSF and computerized tomography (CT), magnetic resonance (MR), positron emission tomography (PET) imaging, or diffusion tensor imaging (DTI). We extracted neuroimaging parameters and narratively analyzed study results to assess any association with PSF. Where there were 3+ similar studies, we carried out a meta-analysis using inverse-variance random-effects model to estimate the total association of each neuroimaging parameter on PSF. The risk of bias was assessed using the Newcastle and Ottawa Scale.

RESULTS

We identified 46 studies (N = 6543); in many studies, associations with fatigue were secondary or subanalyses (28.3%). Imaging parameters were assessed across eight variables: lesion lateralization, lesion location, lesion volume, brain atrophy, infarct number, cerebral microbleeds, white matter hyperintensities (WMHs), and network measures. Most variables showed no conclusive evidence for any association with fatigue. Meta-analysis, where possible, showed no association of the following with PSF; left lesion lateralization (OR: 0.88, 95% CI (0.64, 1. 22) (p = 0.45)), infratentorial lesion location (OR: 1.83, 95% CI (0.63, 5.32) (p = 0.27)), and WMH (OR: 1.21, 95% CI (0.84, 1.75) (p = 0.29)). Many studies assessed lesion location with mixed findings; only one used voxel-symptom lesion-mapping (VSLM). Some small studies suggested an association between altered functional brain networks, namely frontal, fronto-striato-thalamic, and sensory processing networks, with PSF.

CONCLUSION

There was little evidence for the association between any neuroimaging parameters and PSF. Future studies should utilize advanced imaging techniques to fully understand the role of lesion location in PSF, while the role of altered brain networks in mediating PSF merits further research.

Prevalence and Impact of Poststroke Fatigue on Patient Outcomes in the First 6 Months After Stroke: A Systematic Review and Meta-analysis

ABSTRACT

BACKGROUND: Post-stroke fatigue (PSF) is one of the most pervasive and debilitating symptoms after stroke and has a negative impact on activities of daily living (ADLs) and health-related quality of life (HRQoL) of stroke survivors. However, to date, no study has systematically reviewed the prevalence of PSF at different points in time after stroke. OBJECTIVE: The aim of this study was to investigate the prevalence of PSF and its impact on ADLs and HRQoL in the first 6 months post stroke. METHOD: CINAHL, MEDLINE, Scopus, Google Scholar, and Index to Theses were searched from 1983 to August 2022 for studies published in English. Studies were included if they were conducted on adults 18 years and older, and were observational, correlational, and quantitative components of mixed methods reporting on PSF, ADLs, and HRQoL post stroke. RESULTS: Thirty studies were included in this review, and all had a high methodological quality. The pooled prevalence of PSF at 1 to 6 weeks was 49.5%; at 3 months, it was 41.9%; and at 6 months, it was 43.4%. A negative correlation between PSF and ADLs was observed at 1, 2, and 4 to 6 weeks, and at 3 and 6 months post stroke. A significant negative correlation between PSF and HRQoL was observed within the first week ( r = -0.40, P < .05) and at 3 and 6 months post stroke. The results at 3 and 6 months post stroke were inclusive. CONCLUSION : The prevalence of PSF in the first 6 weeks, particularly in the first 2 weeks after stroke, is high and has a significant negative impact on stroke survivors' ADLs and HRQoL. Only a limited number of studies assessed PSF within the first 2 weeks after stroke.

What are the effects of simulated muscle weakness on the sit-to-stand transfer?

Populations with lower extremity muscle weakness have difficulty performing the sit-to-stand (STS) transfer. The degree of weakness that can be tolerated before compromising the ability to perform this task is unknown. Using dynamic simulations, we investigated the effects of weakness before changes in kinematics/kinetics would be required. Lower extremity muscles were weakened globally and individually and muscle forces were re-estimated as the model tracked original task kinematics/kinetics. The STS transfer was sensitive to quadriceps and plantarflexor weakness, suggesting that strengthening these muscles or changing kinematics are essential for populations who have difficulty rising from a chair independently.

Association Between Fatigue and Cognitive Impairment at 6 Months in Patients With Ischemic Stroke Treated With Acute Revascularization Therapy

Background: Fatigue is a frequent symptom after stroke. We aimed to determine the association between fatigue and cognitive performance in patients with ischemic stroke who received acute revascularization therapy (IV thrombolysis and/or mechanical thrombectomy). Methods: Seventy patients were prospectively included in the stroke unit of the University Hospital of Dijon, France. A follow-up was performed at 6 months with clinical examination, fatigue assessment by the Fatigue Severity Scale (FSS), and a comprehensive neuropsychological evaluation. Patients with fatigue (FSS score >4) were compared with patients without fatigue. Neuropsychological factors associated with fatigue at 6 months were analyzed using multivariable logistic regression models. Results: Fatigue was reported by 34.3% of patients. Patients with fatigue were older, had more frequent residual handicap, depressive symptoms, and impaired quality of life. They had more frequently low score (<26) on the MoCA scale (79.2 vs. 47.8%, OR = 4.15; 95% CI: 1.32-13, p = 0.015), memory impairment (60 vs. 30.6%, OR = 3.41; 95% CI: 1.09-10.7, p = 0.035), and executive dysfunction (65 vs. 30.8%, OR = 4.18; 95% CI: 1.33-13.1, p = 0.014). In multivariable logistic regression analysis, only memory impairment was independently associated with fatigue (OR = 5.70; 95% CI: 1.09-29.6, p = 0.039). Further analyses restricted to non-depressed patients (n = 58, 84.1%) showed in multivariable models that a score < 26 on MoCA scale (OR 5.12; 95% CI: 1.00-26.2, p = 0.05), and a memory impairment (OR = 6.17; 95% CI: 1.06-35.9, p = 0.043) were associated with fatigue. There was also a non-significant trend toward an association between divided attention deficit and fatigue (OR = 6.79; 95% CI: 0.80-57.6, p = 0.079). Conclusion: The association between fatigue and subtle cognitive impairment including memory or attention deficits could be of interest in elaborating future interventional studies to evaluate the impact of therapeutic strategies, including cognitive rehabilitation, on fatigue.

The differences in functional recovery between HIV-positive and HIV-negative stroke survivors

Objectives

This study aims to identify the differences in functional abilities between stroke survivors who are human immunodeficiency virus (HIV)-positive and HIV-negative.

Patients and methods

This was a retrospective, longitudinal record review of stroke survivors' files between April 2005 and December 2010. Of a total of 173 stroke survivors who were admitted to the rehabilitation unit, 141 (75 males, 66 females; mean age 52.7±14.3 years; range, 19 to 86 years) met the inclusion criteria. The patients were divided into two groups as HIV-positive (n=21) and HIV-negative (n=120). Functional ability was recorded using the admission and discharge BETA® scores.

Results

Ischemic strokes were more prevalent than hemorrhagic strokes (74.5% vs. 25.5%, respectively) with hypertension as the most common (31.9%) stroke risk factor. The mean age of stroke onset for HIV-positive patients and HIV-negative patients was 39.6 years and 54.9 years, respectively. In HIV-positive patients, the mean duration of rehabilitation was 7.5-day shorter than HIV-negative patients. After receiving rehabilitation from a multidisciplinary team, the HIV-positive group improved with a mean of 40 points and the HIV-negative group improved with a mean of 38 points. The similarities in functional outcome between the HIV-positive and HIV-negative group were related to the fact that HIV-positive stroke survivors were relatively younger than the HIV-negative group.

Conclusion

Our study results show that patients who sustain a stroke, are HIV-positive, are receiving antiretroviral therapy and rehabilita- tion may recover similar to those who are HIV-negative, spending a similar length of stay in a rehabilitation clinic. Therefore, stroke survivors who are HIV-positive should receive full rehabilitation similar to any other stroke survivors.

Mechanisms of poststroke fatigue

Poststroke fatigue is a debilitating symptom and is poorly understood. Here we summarise molecular, behavioural and neurophysiological changes related to poststroke fatigue and put forward potential theories for mechanistic understanding of poststroke fatigue.

Poststroke Fatigue: Emerging Evidence and Approaches to Management: A Scientific Statement for Healthcare Professionals From the American Heart Association

At least half of all stroke survivors experience fatigue; thus, it is a common cause of concern for patients, caregivers, and clinicians after stroke. This scientific statement provides an international perspective on the emerging evidence surrounding the incidence, prevalence, quality of life, and complex pathogenesis of poststroke fatigue. Evidence for pharmacological and nonpharmacological interventions for management are reviewed, as well as the effects of poststroke fatigue on both stroke survivors and caregivers.

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

BACKGROUND

Fatigue is a common and debilitating symptom after stroke. The last decade has seen rapid expansion of the research literature on post-stroke fatigue, but prevalence remains unclear.

AIMS

To estimate post-stroke fatigue prevalence and to identify the contributing factors to fatigue, by conducting a systematic review and meta-analysis.

SUMMARY OF REVIEW

We included all studies of adult stroke survivors that used a recognized assessment scale for fatigue (search date September 2014). Two reviewers independently reviewed all full texts for inclusion. Data were extracted by one reviewer and independently cross-checked by a second. Risk of bias was evaluated using a critical appraisal tool. From an overall yield of 921 studies, 101 full text papers were screened, and 49 of these met inclusion criteria. The most widely used measure of fatigue was the Fatigue Severity Scale (n = 24 studies). Prevalence estimates at a cut-off score of > or ≥ 4 were available for 22 of these 24 studies (total n = 3491), and ranged from 25 to 85%. In random effects meta-analysis, the pooled prevalence estimate was 50% (95% CI 43-57%), with substantial heterogeneity (I² = 94%). Neither depression status nor time point post-stroke explained the heterogeneity between studies. In post-hoc analysis, fatigue prevalence was found to be lower in the four Asian studies (35%; 95% CI 20-50; I² = 96%).

CONCLUSIONS

Our results confirm that fatigue is a widespread issue for stroke survivors, although it may be less prevalent in Asia. Further research is needed to explain the wide variability in prevalence estimates between studies.

Managing Poststroke Fatigue Using Telehealth: A Case Report

OBJECTIVE. The objective of this study was to examine the effectiveness of delivering Managing Fatigue: A Six-Week Course for Energy Conservation via telehealth for a 70-yr-old man with poststroke fatigue (PSF).

METHOD. For this pilot case study, a questionnaire developed by the authors and the Patient-Reported Outcomes Measurement Information System Fatigue Short Form 7a were used for screening. The study was implemented via teleconference over an 8-wk period. The Fatigue Impact Scale (FIS) and the Canadian Occupational Performance Measure (COPM) were used to gather pretest and posttest data.

RESULTS. After the participant completed the course, decreased fatigue impact was noted on the FIS, and modestly improved occupational performance and satisfaction were evidenced by the COPM.

CONCLUSION. For this single participant experiencing PSF, performance and satisfaction on the COPM guardedly improved and fatigue impact decreased after participation in the energy conservation course offered by teleconference, a form of telehealth delivery. Further research is recommended with larger sample sizes.

Factors Associated with Poststroke Fatigue: A Systematic Review

Background. Poststroke fatigue (PSF) is a frequent, disabling symptom that lacks a consensual definition and a standardized evaluation method. The (multiple) causes of PSF have not been formally characterized. Objective. To identify factors associated with PSF. Method. A systematic review of articles referenced in MEDLINE. Only original studies having measured PSF and potentially associated factors were included. Data was extracted from articles using predefined data fields. Results. Although PSF tends to be more frequent in female patients and older patients, sociodemographic factors do not appear to have a major impact. There are strong associations between PSF and emotional disturbances (such as depression and anxiety). PSF may also be linked to attentional disturbances (mainly slowing in processing speed). The literature data have failed to demonstrate a clear impact of the type and severity of stroke. It has been suggested that PSF results from alterations in the frontothalamostriatal system and/or inflammatory processes. Pain, sleep disorders, and prestroke fatigue also appeared to be associated with PSF. Implications. A better understanding of PSF may improve stroke patient care and facilitate the development of effective treatments.