Fatigue in the acute phase after first stroke predicts poorer physical health 18 months later

Changes in fatigue after first-ever ischemic stroke and their associations with changes in physical fitness, body composition, and physical activity

OBJECTIVES

The objectives of the present study were 1) to describe changes in fatigue from 3 to 12 months post-stroke and compare different patterns of fatigue changes with respect to concurrent changes in physical fitness, body composition, and activity levels, and 2) to explore whether changes in fatigue are associated with changes in physical fitness, body composition, and physical activity levels in patients recovering from first-ever ischemic stroke.

MATERIALS AND METHODS

In this longitudinal observational study, we assessed 72 patients (mean age 62 years, 36 % females) at 3 and 12 months after first-ever ischemic stroke. Fatigue was measured with the 7-item Fatigue Severity Scale. Physical fitness, body composition and physical activity were assessed using cardiopulmonary exercise testing, physical function tests, Dual-energy X-ray Absorptiometry, and accelerometers.

RESULTS

Fatigue levels was stable between 3 and 12 months post-stroke in 44 (61 %) patients, decreased in 14 (19 %), and increased in another 14 (19 %). Patients with increased fatigue levels showed a greater decrease in cardiorespiratory fitness, as measured directly by peak oxygen uptake, compared to those with decreased fatigue. Robust regression analysis, adjusted for age and sex, indicated that each kilogram of lean body mass gained from 3 to 12 months post-stroke was significantly associated with a 0.3-point reduction in fatigue during the same timeframe (B= -0.32; 95 %CI [-0.51, -0.12]).

CONCLUSION

There was considerable individual variation in changes to fatigue, physical fitness, body composition, and physical activity levels between 3 and 12 months following a first-ever ischemic stroke. Increased fatigue was linked to a greater concurrent decline in cardiorespiratory fitness, while lean body mass was associated with decreases in fatigue.

Machine Learning-Based Model for Prediction of Early Post-Stroke Fatigue in Patients With Stroke: A Longitudinal Study

BackgroundPost-stroke fatigue, as one of the long-lasting physical and mental symptoms accompanying stroke survivors, will seriously affect the daily living ability and quality of life of stroke patients.ObjectiveThe aim of this study was to develop machine learning (ML) algorithms to predict early post-stroke fatigue among patients with stroke.MethodsA longitudinal study of 702 patients with stroke followed for 3 months. Twenty-three clinical features were obtained from medical records and questionnaires before discharge. Early post-stroke fatigue was assessed using the Fatigue Severity Scale. The dataset was randomly divided into a training group (70%) and an internal validation group (30%), applied oversampling, 10-fold cross-validation, and grid search to optimize the hyperparameter. Feature selection using the Least Absolute Shrinkage and Selection Operator (LASSO) regression. Sixteen ML algorithms were performed to predict early post-stroke fatigue in this study. Accuracy, precision, recall, F1 score, area under the receiver operating characteristic curve (AUC), and brier score were used to evaluate the models performance.ResultsAmong the 16 ML algorithms, the Bagging model was the optimal model for predicting early post-stroke fatigue in patients with stroke (AUC = 0.8479, accuracy = 0.7518, precision = 0.5741, recall = 0.7209, F1 score = 0.6392, brier score = 0.1490). The feature selection based on LASSO revealed that risk factors for early post-stroke fatigue in patients with stroke included anxiety, sleep, social support, family care, pain, depression, neural-functional defect, quit/no drinking, balance function, type of stroke, sex, heart disease, smoking, and hemiplegia.ConclusionsIn this study, the Bagging model proved to be effective in predicting early post-stroke fatigue.

Neurotechnology-Based, Intensive, Supplementary Upper-Extremity Training for Inpatients With Subacute Stroke: Feasibility Study

Background

Upper-extremity hemiparesis is a common and debilitating impairment after stroke, severely restricting stroke survivors' ability to participate in daily activities and function independently. Alarmingly, only a small percentage of stroke patients fully recover upper extremity function. Animal models indicate that high-dose upper extremity training during the early poststroke phase can significantly enhance motor recovery. However, translating such programs for human patients remains challenging due to resource limitations, patient compliance issues, and administrative constraints.

Objective

This study aimed to assess the feasibility and potential efficacy of an intensive, video game-based upper-extremity training protocol designed to improve movement quality during inpatient stroke rehabilitation. Additionally, it evaluated the resources required for this intervention. Specifically, the protocol provides high-intensity, high-dose training to facilitate motor recovery by engaging patients in targeted interactive exercises.

Methods

Twelve patients with upper-extremity hemiparesis completed a 4-week intensive training program comprising 40 sessions of 60 minutes; the training was conducted for 2 hours per day, 5 days per week. This was delivered in addition to standard care, which included 3 therapeutic sessions daily. Two video game-based platforms were used: one platform (tech 1) targeted proximal movements involving the shoulder and elbow, while the second platform (tech 2) emphasized distal movements of the wrist and fingers. Feasibility was assessed using the measure of time on task and measures of patients' motivation and engagement. Potential effectiveness was assessed using the Fugl-Meyer Assessment of the upper extremity (FMA-UE) scale, Action Research Arm Test (ARAT), and Stroke Impact Scale (SIS).

Results

Of the 12 patients, 8 completed the full protocol, 3 completed 34-38 sessions, and 1 completed 27 sessions. On average, patients actively engaged in exercises for 35 (SD 4) minutes per hour on the proximal platform (tech 1) and 37 (SD 2) minutes on the distal platform (tech 2). Patients reported high motivation and enjoyment throughout the sessions, with an Intrinsic Motivation Inventory enjoyment score of 6.49 (SD 0.66) out of 7. Pain levels were minimal, with a visual analogue scale (VAS) mean score of 2.00 (SD 2.32). Significant improvements were observed in motor function assessments: the mean improvement in FMA-UE score was 16.5 (SD 10.2) points, ARAT scores increased by 22.9 (SD 13.1) points, and the SIS Hand Function and Recovery score showed a mean delta of 1.23 (SD 0.80) points and a 23.33% (SD 21.5%) improvement, respectively.

Conclusions

These findings demonstrate that a high-dose, high-intensity, video game-based training protocol is feasible and can be successfully integrated into subacute stroke rehabilitation. Additionally, preliminary evidence suggests that this supplementary intervention may be effective in enhancing motor recovery. This approach holds promise for future stroke rehabilitation protocols by offering an engaging, high-dose, and high-intensity program during early recovery.

Cardiorespiratory fitness, physical activity, and fatigue three months after first-ever ischemic stroke

BACKGROUND

Research on cardiorespiratory fitness (CRF) in relation to physical activity (PA) and fatigue after stroke is limited. Increased knowledge of interrelationships between these factors can help optimize rehabilitation strategies and improve health-outcomes.

OBJECTIVES

We aimed to: 1) evaluate CRF, PA, and fatigue, 2) characterize patients with impaired versus non-impaired CRF, and 3) examine associations of CRF with PA and fatigue, three months after first-ever ischemic stroke.

METHODS

In this cross-sectional study CRF was measured as peak oxygen uptake (VO2peak) by cardiopulmonary exercise testing. PA was measured using accelerometers. Fatigue was assessed with the 7-item Fatigue Severity Scale (FSS).

RESULTS

The sample (n=74, mean age 64±13 years, 36% women) had a mean VO2peak of 27.0±8.7 (86% of predicted). Fifty-one percent met the World Health Organization's recommendation of ≥150 min of moderate PA/week. Mean steps-per-day was 9316±4424 (113% of predicted). Thirty-five percent of the sample had moderate-to-high fatigue (FSS≥4), mean FSS score was 3.2±1.8.  Patients with impaired CRF (VO2peak<80% of predicted) had higher body-fat-percent (p<0.01), less moderate-to-vigorous PA (MVPA) (p<0.01) and a trend toward higher fatigue (p=0.053) compared to the non-impaired. Backward regression analysis showed that higher CRF was associated with more MVPA (unstandardized beta [95% CI]: 0.38 [0.15, 0.63], p=0.002) and less fatigue (unstandardized beta [95% CI]: -3.9 [-6.4, -1.6], p=0.004).

CONCLUSIONS

Stroke patients had lower CRF compared to reference values. Impaired CRF was mainly related to overweight. Higher CRF was associated with more MVPA and less fatigue. Exercise after stroke may be especially beneficial for patients with impaired CRF.

Functional Recovery in Acute and Subacute Stroke Patients With or Without Post-stroke Fatigue

This study analyzed the impact of post-stroke fatigue (PSF) on functional recovery in acute and subacute stroke patients during inpatient rehabilitation. Medical records of 177 patients were retrospectively reviewed. PSF was assessed using the Fatigue Severity Scale (FSS)-9. Patients were classified into two groups: a PSF group (mean FSS ≥ 4) and a non-PSF group (mean FSS < 4). Stroke severity was measured with the National Institutes of Health Stroke Scale, and functional outcomes were evaluated using Functional Ambulation Category (FAC), Berg Balance Test, Korean version of the Modified Barthel Index (K-MBI), and Mini-Mental State Examination-Korean version (MMSE-K). Statistical significance was set at p < 0.05. The prevalence of PSF was 52.5%. The repeated measures of analysis of variance showed significant "time" effects on FAC (F = 29.726, p < 0.001) and K-MBI (F = 15.348, p < 0.001). A significant "group" effect was observed on MMSE-K (F = 4.571, p = 0.035), and a "time × group" interaction on only K-MBI (F = 4.284, p = 0.041). Multivariable logistic regression analysis showed that improvements in K-MBI scores were independent of initial severity, depression, and age (p = 0.043). PSF affects the recovery of activities of daily living (ADL) in stroke patients, suggesting that regulating early fatigue after stroke positively affects functional recovery.

Patients experience of cognitive fatigue post-stroke: an exploratory study

PURPOSE

Cognitive fatigue is commonly reported and described as disabling by patients recovering from neurological conditions including stroke. However, cognitive fatigue is usually underdiagnosed among stroke survivors which leads to a lack of specific treatments for this condition. Therefore, the aim of this study was to explore post-stroke cognitive fatigue as it is experienced by stroke survivors.

METHODS

This qualitative research followed the principles of descriptive phenomenology within a constructivist paradigm. Individual semi-structured interviews were conducted with stroke survivors experiencing post-stroke cognitive fatigue recruited through the Heart and Stroke Foundation, the Canadian Partnership for Stroke Recovery, and social media posts. Data were analyzed through inductive content analysis.

RESULTS

Eleven stroke survivors participated. The analysis revealed five themes illustrating the experience and descriptions of post-stroke cognitive fatigue: (1) characteristics, (2) aggravating factors, (3) management, (4) effect of cognitive fatigue on daily life, and (5) social awareness and support.

CONCLUSION

This study highlights the complexity of post-stroke cognitive fatigue. Cognitive fatigue becomes more evident after discharge; therefore, clinicians should consistently screen for it and provide proper education to the patients and their carers.IMPLICATIONS FOR REHABILITATIONCognitive fatigue is a complex phenomenon that can negatively affect the daily life of stroke survivors.Sensory-overloaded environments, emotional distress, poor sleep, and engaging in complex cognitive tasks can trigger post-stroke cognitive fatigue.More education on the concept of cognitive fatigue should be provided to healthcare providers to be able to identify and manage this symptom properly.

Cortical-striatal network functional connectivity markers in poststroke fatigue: a single-centre fMRI case-control study protocol

INTRODUCTION

Structural and functional abnormalities in the cortical-striatal network (CSN) are hypothesised to play a key role in the pathogenesis of neurological disease-associated fatigue. Some small-scale functional MRI (fMRI) studies have suggested that poststroke fatigue (PSF) is related to focal functional connectivity (FC) changes. To date, there has been no published large-scale fMRI study on PSF. This planned study will examine the role of the CSN FC on PSF.

METHODS AND ANALYSIS

The planned study will be a prospective cohort study conducted at the Neurology Unit of the Prince of Wales Hospital. We will recruit 738 participants. The project duration will be 36 months. A psychiatrist will administer the Fatigue Severity Scale (FSS) at 3 months (P1) following the index stroke. PSF is defined as an FSS Score≥4.0. PSF severity will be defined by the FSS total score at P1. Participants with PSF at P1 will undergo two follow-up assessments at 9 (P2) and 15 (P3) months post stroke. PSF remission at P2 or P3 will be defined as a 50% reduction in FSS. Participants will undergo MRI examinations within 2 weeks of the 3-month poststroke assessment. Structural MRI, resting-state fMRI and diffusion tensor imaging will be performed. FC, structural connectivity, infarcts, cerebral microbleeds and white matter hyperintensities will be analysed. For the primary analysis, the effect of PSF on the FC, structural connectivity and diffusion metrics of CSN of stroke survivors, voxel-wise two-sample t-tests will be performed with FDR correction for multiple comparison and significance level set at p<0.05.

ETHICS AND DISSEMINATION

Ethical approval was obtained from the Joint Chinese University of Hong Kong-New Territories East Cluster clinical research ethics committee. The study findings will be shared through peer-reviewed journal publications, national and international conferences and social media platforms.

Causal associations of fatigue and functional outcome after ischemic stroke: a mediation Mendelian randomization study

Background and objectives

Fatigue has been associated with adverse effects on recovery from ischemic stroke based on previous observational research. The purpose of our study was to explore the potential causal association of fatigue with poor functional outcome after ischemic stroke by employing Mendelian randomization (MR).

Methods

A set of instrumental variables, comprising 36 single-nucleotide polymorphisms (SNPs) that are only related to fatigue, were derived from a genome-wide association study (GWAS) that included 449,019 general individuals. The functional outcomes after ischemic stroke were derived from a GWAS (Genetics of Ischemic Stroke Functional Outcome Network) involving 6,021 survivors. Two-sample MR methods were used to assess the causal effect, including inverse variance weighted, MR-Egger, weighted median, simple mode, and weighted mode. In bidirectional MR analysis, the reverse causal association was analyzed using the Wald ratio method. The mediation effects of lipid metabolites were analyzed using two-step MR analysis.

Results

Genetic liability to fatigue was causally associated with the poor functional outcome (modified Rankin Scale ≥3 at 3 months) after ischemic stroke (OR = 4.20, 95%CI [1.11-15.99], p < 0.05). However, genetic predicted poor functional outcome after ischemic stroke was not associated with fatigue (OR = 1.00, 95%CI [0.99-1.02], p > 0.05). The results of the two-step MR showed that cholesteryl esters to total lipids ratio in large very low-density lipoprotein (VLDL) (ME = -0.13, p < 0.05); concentration of very large VLDL particles (ME = -0.13, p < 0.05); free cholesterol in large VLDL (ME = -0.13, p < 0.05); free cholesterol to total lipids ratio in very large VLDL (ME = -0.22, p < 0.05); phospholipids in large VLDL (ME = -0.15, p < 0.05); phospholipids in very large VLDL (ME = -0.13, p < 0.05); phospholipids to total lipids ratio in large high-density lipoprotein (HDL) (ME = -0.17, p < 0.05); total lipids in very large VLDL (ME = -0.14, p < 0.05); triglycerides in small VLDL (ME = -0.11, p < 0.05); and triglycerides to total lipids ratio in large HDL (ME = -0.10, p < 0.05) assumed a pivotal role in mediating the association between fatigue and poor functional outcome after ischemic stroke.

Conclusion

Our study provides evidence supporting the causal association between fatigue and the poor functional outcome after ischemic stroke, which emphasizes the importance of implementing interventions aimed at addressing fatigue. This could offer a therapeutic target to improve recovery after ischemic stroke and warrant exploration in a clinical context. One potential mechanism by which fatigue affects functional outcomes after ischemic stroke is through the action of lipid metabolites.

Remote ischaemic conditioning for fatigue after stroke (RICFAST): A pilot randomised controlled trial

BACKGROUND

Post stroke fatigue (PSF) affects 50 % of stroke survivors, and can be disabling. Remote ischaemic conditioning (RIC), can preserve mitochondrial function, improve tissue perfusion and may mitigate PSF. This pilot randomised controlled trial evaluates the safety and feasibility of using RIC for PSF and evaluated measures of cellular bioenergetics.

METHODS

24 people with debilitating PSF (7 item Fatigue Severity Score, FSS-7 > 4) were randomised (1:1) in this single-centre phase 2 study to RIC (blood pressure cuff inflation around the upper arm 200 mmHg for 5 min followed by 5 min of deflation), or sham (inflation pressure 20 mmHg), repeated 4 cycles, 3 times per week for 6 weeks. Primary outcomes were safety, acceptability, and compliance. Secondary outcomes included FSS-7, 6 min walking test (6MWT), peak oxygen consumption (V̇O2peak), ventilatory anaerobic threshold (VAT), and muscle adenosine triphosphate (ATP) content measured using 31-phosphorous magnetic resonance spectroscopy of tibialis anterior.

RESULTS

RIC was safe (no serious adverse events, adverse events mild) and adherence excellent (91 % sessions completed). Exploratory analysis revealed lower FSS-7 scores in the RIC group compared to sham at 6 weeks (between group difference FSS-7 -0.7, 95 %CI -2.0 to 0.6), 3 months (-1.0, 95 %CI -2.2 to 0.2) and 6 months (-0.9, 95 %CI -2.0 to 0.2). There were trends towards increased VAT, increased muscle ATP content and improved 6MWT in the RIC group.

DISCUSSION

RIC is safe and acceptable for people with PSF and may result in clinically meaningful improvements in fatigue and muscle bioenergetics that require further investigation in larger studies.

Association of post-stroke fatigue with physical activity and physical fitness: A systematic review and meta-analysis

BACKGROUND

It has been hypothesized that post-stroke fatigue (PSF) is associated with reduced physical activity (PA) and impaired physical fitness (fitness). Understanding associations between PSF and PA, and/or fitness could help guide the development of targeted exercise interventions to treat PSF.

AIMS

Our systematic review and meta-analysis aimed to investigate PSF's associations with PA and fitness.

SUMMARY OF REVIEW

Following a registered protocol, we included studies with cross-sectional or prospective observational designs, published in English or a Scandinavian language, which reported an association of PSF with PA and/or fitness in adult stroke survivors. We searched MEDLINE, Embase, AMED, CINAHL, PsycINFO, ClinicalTrials.gov, and World Health Organization's International Clinical Trials Registry Platform from inception to November 30, 2022. Risk of bias was assessed using Quality in Prognosis Studies. Thirty-two unique studies (total n = 4721 participants, 55% male), and three study protocols were included. We used random-effects meta-analysis to pool data for PA and fitness outcomes, and vote-counting of direction of association to synthesize data that could not be meta-analyzed. We found moderate-certainty evidence of a weak association between higher PSF and impaired fitness (meta r = -0.24; 95% confidence interval (CI) = -0.33, -0.15; n = 905, 7 studies), and very low-certainty evidence of no association between PSF and PA (meta r = -0.09; 95% CI = -0.34, 0.161; n = 430, 3 studies). Vote-counting showed a higher proportion of studies with associations between higher PSF and impaired fitness (pˆ = 0.83; 95% CI = 0.44, 0.97; p = 0.22, n = 298, 6 studies), and with associations between higher PSF and lower PA (pˆ = 0.75; 95% CI = 0.51, 0.90; p = 0.08, n = 2566, 16 studies). Very low- to moderate-certainty evidence reflects small study sample sizes, high risk of bias, and inconsistent results.

CONCLUSIONS

The meta-analysis showed moderate-certainty evidence of an association between higher PSF and impaired fitness. These results indicate that fitness might protect against PSF. Larger prospective studies and randomized controlled trials evaluating the effect of exercise on PSF are needed to confirm these findings.

Global prevalence estimates of poststroke fatigue: A systematic review and meta-analysis

BACKGROUND AND PURPOSE

Poststroke fatigue (PSF) is a common complication after stroke. However, information on the global prevalence of PSF and how this varies geographically and by population is lacking. Our aim was to examine the global prevalence of PSF and identify sources of heterogeneity in the published literature.

METHODS

Four medical databases (PubMed, EMBASE, PsycINFO, and Cochrane Database of Systematic Reviews) were searched from their inception to 28 February 2022. The Joanna Briggs Institute Critical Appraisal Instrument for studies reporting prevalence data (JBI) was used to assess the risk of bias (ROB) of the included studies. The primary outcome was the prevalence of PSF determined using a random-effects model. Subgroup analysis and meta-regression models were used to define the source of heterogeneity.

RESULTS

In all, 66 studies with 11,697 patients were included in this meta-analysis. The overall quality of the included studies was medium. The global pooled prevalence of PSF in stroke survivors was 46.79% (95% confidence interval (CI), 43.41-50.18%). The prevalence estimates of PSF based on the Fatigue Severity Scale (FSS), Multidimensional Fatigue Inventory-20 (MFI-20), and Fatigue Assessment Scale (FAS) were 47.44% (95% CI, 43.20-51.67%), 51.69% (95% CI, 44.54-58.83%), and 36.13% (95% CI, 23.07-49.18%), respectively. Prevalence rates of PSF were higher in females (53.19%; 95% CI, 46.46-59.92%), in hemorrhagic stroke (57.54%; 95% CI, 40.55-74.53%), in those with a college degree or higher (53.18%; 95% CI, 42.82-63.54%), and in those with unmarried or divorced status (59.78%; 95% CI, 44.72-74.83%).

CONCLUSIONS

The prevalence of PSF in stroke survivors is high, affecting almost half of all stroke sufferers. PSF rates were higher with female gender, being unmarried or divorced, having a higher educational level, and being hemorrhagic compared to ischemic stroke.

TRIAL REGISTRATION

PROSPERO (CRD42021269441).

“I Give It Everything for an Hour Then I Sleep for Four.” The Experience of Post-stroke Fatigue During Outpatient Rehabilitation Including the Perspectives of Carers: A Qualitative Study

Background

Fatigue is a debilitating post-stroke symptom negatively impacting rehabilitation. Lack of acknowledgment from carers can be additionally distressing. The purpose of this study was to describe the experience of post-stroke fatigue during outpatient rehabilitation, including the perspectives of carers.

Methods

This qualitative study was guided by descriptive phenomenology within a constructivist paradigm. Semi-structured interviews were conducted with stroke survivors experiencing fatigue (Fatigue Assessment Scale >23) and attending outpatient rehabilitation. Carers were also interviewed where identified, providing insight into their own and stroke survivor experiences. Data were analyzed according to Colaizzi's analytic method.

Results

Fourteen stroke survivors (50% culturally and linguistically diverse), and nine carers participated. Six themes were identified: 1. The unpredictable and unprepared uncovering of fatigue; 2. Experience and adjustment are personal 3. Being responsible for self-managing fatigue; 4. The complex juggle of outpatient stroke rehabilitation with fatigue; 5. Learning about fatigue is a self-directed problem-solving experience; 6. Family and carers can support or constrain managing fatigue.

Conclusion

Despite engaging in outpatient rehabilitation, stroke survivors largely learnt to manage fatigue independent of healthcare professionals. Carers often facilitated learning, monitoring rehabilitation, daily routines and fatigue exacerbation. Conversely, family could be dismissive of fatigue and possess unrealistic expectations. Post-stroke fatigue must be considered by clinicians when delivering outpatient rehabilitation to stroke survivors. Clinicians should consistently screen for fatigue, provide flexible session scheduling, and educate about individual indicators and strategies for management. Clinicians should also explicitly engage carers who play a critical role in the management of fatigue.

Factors Associated With Early and Late Post-stroke Fatigue in Patients With Mild Impairment. Results From the Stroke Cohort Study Augsburg

Background

Post-stroke fatigue is a common symptom after stroke. However, studies on the factors associated with early and late fatigue are scarce. The objective of this study was to identify variables associated with early and late fatigue.

Methods

In the German Stroke Cohort Augsburg (SCHANA) study, participants were interviewed during their hospital stay and completed a postal questionnaire 3 and 12 months post-stroke. Fatigue was assessed using the Fatigue Assessement Scale (FAS). In addition, depression was measured by the Patient Health Questionnaire (PHQ-9), general health status by the EQ-5D visual analog scale, and physical activity by the International Physical Activity Questionnaire (IPAQ). Multivariable regression models were used to determine the associations between FAS scores at 3 and 12 months post-stroke and demographic, psychosocial and health-related covariables.

Results

Among 505 participants, the frequency of fatigue was 31.1% 3 months and 29.1% 12 months post-stroke. Prior stroke (ß = 2.37, p = 0.0076), prior diagnosis of depression (ß = 5.04, p = 0.0001), higher NIHSS (ß = 0.25, p = 0.0360) and higher PHQ-9 scores (ß = 0.55, p < 0.0001) were significantly associated with higher fatigue levels 3 months post-stroke. Additionally, younger age (ß = -0.07, p = 0.0219), a worse rating of general health at baseline (ß = -0.04, p = 0.0287) and low pre-stroke physical activity (ß = -0.0004, p = 0.0089) were significantly associated with higher fatigue levels 12 months after stroke.

Conclusions

Fatigue is a common and persisting symptom even in patients with mild impairment. Prior depressive disorder and early depressive symptoms were the most relevant predictors of both early and late fatigue.

A cross-sectional study exploring overlap in post-stroke fatigue caseness using three fatigue instruments: Fatigue Severity Scale, Fatigue Questionnaire and the Lynch's Clinical Interview

OBJECTIVE

Post stroke fatigue (PSF) is a frequent symptom affecting 25-73% of stroke survivors. The variability in estimates of prevalence found across studies reflects differences in fatigue measures and use of different cut-offs for defining clinically significant fatigue. The main aim of this study is to explore the frequency and overlap in caseness of fatigue using three different fatigue measures in a sample of patients at 3 months post stroke. Furthermore, we wanted to explore the instrument's associations with demographic and clinical characteristics.

METHODS

The sample consists of 93 patients with new onset stroke. This cross-sectional study includes three measurements of fatigue, The Fatigue Severity Scale (FSS), The Chalder Fatigue Questionnaire (FQ) and the Lynch Interview. Medical, physical, psychological data and estimates of pre-stroke fatigue were collected 3 months post stroke.

RESULTS

The FQ using the bimodal scoring yielded about 2.5 more fatigue cases (n = 57) than the FSS with a cut-off mean score of 5 (n = 22). The Lynch interview identified 48 patients as fatigue cases. Conducting multivariate analyses, the three instruments were differently associated with predictor variables such as prestroke fatigue, reduced balance and burden of symptoms reported post stroke.

CONCLUSION

The use of different instruments leads to a large variability in identifying fatigue cases in a sample of stroke patients. Scientifically and clinically a clarification and consensus on how to measure fatigue is warranted. Without correct identification of PSF-cases, knowledge about the causes of fatigue and development of tailored and interdisciplinary interventions are further delayed.

Cardiorespiratory responses to exercise related to post-stroke fatigue severity

Physical deconditioning after stroke may induce post-stroke fatigue. However, research on this association is limited. Our primary objective was to investigate the associations of post-stroke fatigue severity with oxygen uptake ([Formula: see text]O₂) at peak exercise and the time constant of [Formula: see text]O₂ kinetics (τ[Formula: see text]O₂) at exercise onset. The secondary objective was to examine the associations between fatigue and cardiorespiratory variables potentially affecting [Formula: see text]O₂ during exercise. Twenty-three inpatients from a subacute rehabilitation ward were enrolled in this study. The median (interquartile range) Fatigue Severity Scale (FSS) score, as a measure of fatigue, was 32 (range 27-42) points. The FSS score was not associated with [Formula: see text]O₂ at peak exercise during a symptom-limited graded exercise test (rho = - 0.264; p = 0.224), whereas it was significantly associated with τ[Formula: see text]O₂ during a submaximal constant-load exercise test (rho = 0.530; p = 0.009). A higher FSS score also significantly correlated with a longer time constant of cardiac output (CO) kinetics (rho = 0.476; p = 0.022). Our findings suggest that severe post-stroke fatigue is associated with delayed increases in [Formula: see text]O₂ and CO at the onset of exercise. Our findings can contribute to the development of an appropriate rehabilitation programme for individuals with post-stroke fatigue.

Risk Factors and Imaging Mechanisms of Fatigue After Mild Ischemic Stroke: An Exploratory Study From a Single Chinese Center

Objective: To explore the biochemical risk factors and imaging mechanisms of post fatigue after mild ischemic stroke among a Chinese population. Methods: Forty consecutive patients with mild ischemic stroke within onset of 14 ± 2 days were enrolled between March and June 2018. The clinical information, scale data, biomarkers in peripheral venous blood, and imaging data during hospitalization and follow-up period were collected. Results: Patient age (range 34-78) was positively correlated with the prevalence of fatigue (p = 0.009). Both blood norepinephrine and serotonin levels during hospitalization were negatively correlated to the prevalence of post-stroke fatigue (model 1 p = 0.009 and model 2 P = 0.043, respectively). Infarct of right cerebral hemisphere is positively correlated with the occurrence of fatigue after mild ischemic stroke (p = 0.020). Compared to non-fatigue patients, amplitude of low-frequency fluctuation (ALFF) was lower in several areas of brain in stroke patients with fatigue, including the right orbital inferior frontal, right inner orbital frontal, right frontal, right triangular frontal inferior, right anterior and lateral cingulate, and right medial frontal gyruses. Analysis of the difference in functional connectivity between the fatigue and non-fatigue groups found no cluster. Conclusions: Frontal lobe-related neural pathways may play an essential role in the regulation of fatigue after mild ischemic stroke. Abnormal neural circuits may reduce the levels of neurotransmitters such as serotonin and norepinephrine and lead to post-stroke fatigue.

Post-stroke fatigue: an exploratory study with patients and health professionals to develop a patient-reported outcome measure

BACKGROUND

Post-stroke fatigue (PSF) is commonly reported and described as disabling by patients recovering from stroke. However, a major challenge is how to accurately diagnose and assess PSF. Therefore, the aim of this study was to explore PSF as it is experienced by stroke survivors and described by health professionals to guide future development of a PSF-specific PROM.

METHODS

Individual semi-structured interviews were conducted with stroke survivors experiencing PSF (n = 9) and three focus groups were conducted with health professionals (n = 16). Data were analyzed through inductive content analysis.

RESULTS

The analysis revealed four themes illustrating the experience and descriptions of PSF: 1) PSF characteristics, 2) interfering and aggravating factors, 3) management, and 4) PSF awareness, which refers to stroke survivors first becoming aware of PSF after their initial hospital admission.

CONCLUSION

This study highlights the complexity and multidimensionality of PSF. The results from this study will guide future development of a PSF-PROM and support its content validity.

Detection of cytokine-induced sickness behavior after ischemic stroke by an optimized behavioral assessment battery

Stroke causes severe and long-lasting symptoms in patients. Besides focal deficits such as speech impairment and limb weakness, stroke also results in neuropsychiatric symptoms, including fatigue, anxiety, and depression, which are debilitating and often impair post-stroke rehabilitation. However, in experimental stroke research, the study of neuropsychiatric symptoms and their therapeutic targeting has so far been largely neglected, which can be mainly attributed to the lack of appropriate tools to investigate such deficits in mice. Here, we report that neuropsychiatric symptoms can be differentiated from focal deficits and specifically modulated independent of treating the primary lesion. In order to achieve this, we developed a novel behavior analysis tool by assessing test performance of various tests, combining outcome parameters to cover functional domains of focal and neuropsychiatric symptoms, and finally weighted results into a time point-specific score. This weighted score enabled us to clearly differentiate focal deficits and neuropsychiatric symptoms and detect these until the chronic phase after stroke. Using this analysis tool, we detected that neutralizing systemic cytokines (TNF-α, IL-1β and IL-6) specifically ameliorated neuropsychiatric symptoms but did not affect focal deficits or lesion volume. Hence, most conventional studies analyzing only focal deficits and lesion volume as primary outcome measures would have missed these significant and translationally relevant therapeutic effects. We anticipate that these findings will encourage more detailed analyses of neuropsychiatric symptoms particularly for anti-inflammatory therapies in stroke and that the presented weighted composite score will facilitate this development.

Predictors and short-term outcomes of post-stroke fatigue in initial phase of transition from hospital to home: A prospective observational study

AIM

To analyse the interactions of associated factors with post stroke fatigue (PSF) after discharge home and determine the predictors of PSF and their impact on stroke survivors.

DESIGN

A prospective observational study.

METHODS

A total of 94 patients with acute stroke were recruited between May 2019 -July 2020. The main outcomes were fatigue, depression, insomnia, sarcopenia, and health-related quality of life (HRQOL) and were assessed at admission and 1 month after discharge. Fatigue was measured using the Fatigue Assessment Scale. Depression and Insomnia were assessed using the Hospital Anxiety and Depression Scale-Depression and Insomnia Severity Index, respectively. Sarcopenia was measured using the SARC-F questionnaire, and HRQOL was assessed using the Short Form-8.

RESULTS

Acute phase PSF was an independent predictor of PSF after discharge home. Moreover the path analysis revealed that this effect is mediated through both the direct effect of acute-phase PSF on PSF after discharge home and through the indirect effect of interaction with pre-stroke SARC-F, acute phase depression, and acute phase insomnia, which remains a separate predictor of acute-phase PSF. In total, 17% of the survivors had persistent PSF. Persistent PSF was significantly associated with depression, insomnia, sarcopenia, and a lower quality of life scores.

CONCLUSIONS

Post-stroke fatigue may occur in the acute phase and persists after discharge, it will not only affect later depression, insomnia, and quality of life, but also sarcopenia.

IMPACT

Acute phase PSF was found to be an independent predictor of PSF after discharge home. In addition, the interaction with pre-stroke SARC-F, acute phase depression and insomnia had an indirect connection with PSF after discharge home, which remains a separate predictor of acute-phase PSF. Thus, early assessment and management of mental status, sleep problems, and sarcopenia during hospitalization might be an important step in post-stroke rehabilitation and home transition.

Poststroke Fatigue at Admission is Associated With Independence Levels of Activities of Daily Living at Discharge From Subacute Rehabilitation Wards

OBJECTIVE

To determine whether poststroke fatigue at admission is associated with the degree of independence in activities of daily living in patients with stroke at discharge from subacute rehabilitation wards.

DESIGN

Retrospective cohort study.

SETTING

Subacute rehabilitation hospital.

PARTICIPANTS

A consecutive sample of patients (N=156) with stroke who were admitted to a subacute rehabilitation ward between December 2012 and November 2013 were enrolled in the study.

INTERVENTIONS

Not applicable.

MAIN OUTCOME MEASURES

Poststroke fatigue was assessed using the Fatigue Severity Scale within 2 weeks of admission. Poststroke fatigue was defined as the mean score of 4 points or more from among 9 items in the Fatigue Severity Scale. Functional outcome was assessed by using FIM motor items.

RESULTS

Fifty-six (35.9%) of the 156 participants had poststroke fatigue at admission. The scores of the FIM motor items at admission and discharge were significantly lower in the fatigue group than in the nonfatigue group (P<.05). Multiple regression analysis with potentially confounding variables revealed that poststroke fatigue was a significant independent factor for discharge FIM motor items score (P<.05).

CONCLUSION

Poststroke fatigue at admission was significantly associated with functional outcome at discharge from subacute rehabilitation wards. Our findings emphasize that rehabilitation professionals need to manage poststroke fatigue in addition to providing the interventions to improve daily activities in patients with subacute stroke.

Modafinil in Recovery after Stroke (MIRAS): A Retrospective Study

BACKGROUND AND PURPOSE

Acute rehabilitation is known to enhance stroke recovery. However, poststroke lethargy and fatigue can hinder participation in rehabilitation therapies. We hypothesized that in patients with moderate to severe stroke complicated by poststroke fatigue and lethargy early stimulant therapy with modafinil increases favorable discharge disposition defined as transfer to acute inpatient rehabilitation or home.

METHODS

We retrospectively reviewed a cohort of patients with acute stroke admitted to the stroke service over a 3-year period. All patients 18 years or older with confirmed ischemic or hemorrhagic stroke, an NIHSS greater than or equal to 5 and documentation of fatigue/lethargy in clinical documentation were included. We compared patients that were treated with modafinil 50-200 mg to those managed with standard care. The primary outcome measure was discharge disposition. Secondary outcome was 90 day modified Rankin score (mRS). Statistical significance was determined using chi-square test for association and logistic regression models. Logistic regression models were derived in 2 ways with both raw data and an adjusted model that accounted for age, sex, and NIHSS score to account for the lack of randomization.

RESULTS

This study included 199 stroke patients (145 ischemic, 54 hemorrhagic). Seventy-two (36.2%) were treated with modafinil and 129 (64.8%) were discharged to acute inpatient rehabilitation, while none were recommended for discharge home. Median NIHSS for modafinil patients was 13.5 versus 11 for standard care patients (P = .059). In adjusted models, modafinil was associated with higher odds of favorable discharge disposition (OR 2.00, 95% CI 1.01-3.95). Favorable outcome at 90 days defined as mRS less than or equal to 2 occurred more frequently with modafinil (5.6% versus 3.3%) but this did not achieve statistical significance (P > .1). These results occurred despite the modafinil group requiring longer ICU stays and having more in-hospital complications such as infections and need for percutaneous gastrostomy tubes. The benefit of modafinil was seen across all subgroups except those with severe stroke (NIHSS ≥ 15). There were no significant adverse events associated with modafinil administration.

CONCLUSIONS

Modafinil use in acute in-hospital stroke patients with moderate stroke complicated by lethargy and fatigue was associated with improved discharge disposition. Randomized controlled trials are needed to further study the safety, efficacy, and long-term effects of modafinil in this patient population.

Modafinil for poststroke patients: A systematic review

INTRODUCTION

Stroke is a major cause of death and disability worldwide. The use of modafinil, a wakefulness-promoting agent, is hypothesised to benefit stroke patients.

METHODS

We performed a systematic review in accordance with the Cochrane Handbook for Systematic Reviews of Interventions recommendations to assess the efficacy and safety of modafinil in poststroke patients. We prospectively registered the review protocol in PROSPERO (CRD42017078465) and reported the systematic review following the PRISMA statement.

RESULTS

Two published studies (77 participants) and one ongoing randomised controlled trial, with limited methodological quality, assessed the effects of modafinil (200 mg or 400 mg) for adults from 14 days poststroke up to 3 months poststroke and fulfilled our inclusion criteria. The clinical and methodological variability between studies precluded meta-analyses. Overall, these studies showed some benefit of modafinil for fatigue, but no benefit for disability, cognition, and for subscores of stroke-specific quality of life. Data for adverse events were scarce and mortality was not considered by studies. Due to very low quality related to the evidence, we are uncertain about the effects of modafinil for all outcomes assessed by our systematic review.

CONCLUSION

Based on two small randomised controlled trial, which provided very low quality evidence, the effects (benefits and harms) of modafinil for stroke patients are unclear and do not support its routinely use in clinical practice for this clinical situation. Number of Protocol registration in PROSPERO database: CRD42017078465 (available from http://www.crd.york.ac.uk/PROSPERO/display_record.php?ID=CRD42017078465).

Pituitary dysfunction and association with fatigue in stroke and other acute brain injury

BACKGROUND

Poststroke fatigue (PSF) is a highly prevalent and debilitating condition. However, the etiology remains incompletely understood. Literature suggests the co-prevalence of pituitary dysfunction (PD) with stroke, and the question raises whether this could be a contributing factor to the development of PSF. This study reviews the prevalence of PD after stroke and other acquired brain injuries and its association with fatigue.

SUMMARY

We performed a bibliographic literature search of MEDLINE and EMBASE databases for English language studies on PD in adult patients with stroke, traumatic brain injury (TBI) or aneurysmatic subarachnoid hemorrhage (aSAH). Forty-two articles were selected for review. Up to 82% of patients were found to have any degree of PD after stroke. Growth hormone deficiency was most commonly found. In aSAH and TBI, prevalences up to 49.3% were reported. However, data differed widely between studies, mostly due to methodological differences including the diagnostic methods used to define PD and the focus on the acute or chronic phase. Data on PD and outcome after stroke, aSAH and TBI are conflicting. No studies were found investigating the association between PD and PSF. Data on the association between PD and fatigue after aSAH and TBI were scarce and conflicting, and fatigue is rarely been investigated as a primary end point.

KEY MESSAGES

Data according to the prevalence of PD after stroke and other acquired brain injury suggest a high prevalence of PD after these conditions. However, the clinical relevance and especially the association with fatigue need to be established.

Exercise and quality of life after first-ever ischaemic stroke: a two-year follow-up study

BACKGROUND

Quality of life (QoL) post-stroke is an important health outcome. Physical deconditioning and physical inactivity are highly prevalent in stroke survivors. This study aimed to assess the long-term trends in QoL and to explore the effect of exercise on the QoL of ischaemic stroke patients.

METHODS

Data for this prospective study were collected at baseline using face-to-face interviews, and telephone follow-ups were completed every three months from 2010 through 2014. QoL was evaluated with the 12-item Short-Form Health Survey (SF-12). The relationship between changes in exercise and QoL changes was analysed with a multi-level model.

RESULTS

Exercise and QoL generally increased during the study period. After adjusting for covariates, the SF-12 Physical Component Summary (PCS) scores increased by 0.60 on average for each unit increase in exercise frequency and by 0.52 for each hour increase in weekly exercise time. For weekly exercise times ≤ 22.73 h, the PCS scores continued to increase with increasing exercise time. The Mental Component Summary scores increased by 0.51 on average for each unit increase in exercise frequency and by 0.35 for each hour increase in weekly exercise time. Furthermore, the standard deviations of exercise frequency and exercise time were inversely associated with changes in the PCS score.

CONCLUSIONS

Exercise is an important modifiable behaviour. Long-term regular mild exercise should be recommended to improve QoL among stroke survivors.

Temporal Associations between Fatigue, Depression, and Apathy after Stroke: Results of the Cognition and Affect after Stroke, a Prospective Evaluation of Risks Study

BACKGROUND

Poststroke fatigue (PSF) is a form of pathological fatigue that can develop after stroke and has a negative impact on functional outcome. PSF is associated with poststroke depression (PSD), which in turn shows similarities with poststroke apathy (PSA). This study aimed at disentangling the temporal associations between PSF and PSD and between PSF and PSA.

METHODS

A total of 250 stroke patients were included, of which 243 completed the Fatigue Severity Scale, Montgomery-Åsberg Depression Rating Scale, and Apathy Evaluation Scale at 3 months poststroke, with follow-up measurements at 6 and 12 months after initial testing. Linear mixed models and linear regressions were performed to evaluate the temporal associations between PSF and PSD, and between PSF and PSA.

RESULTS

PSF was present in 119 patients (49%), of whom 62 patients also had PSD (26%), and 21 patients (9%) also had PSA. At baseline, PSF patients showed higher depression levels, which remained stable at follow-up. PSD patients had higher fatigue levels compared with no-PSD patients at baseline, which remained stable at follow-up. No association between apathy and fatigue was found at baseline and no interaction with time was found. Change in fatigue from baseline to 12-month follow-up was associated with change in depression and with change in apathy.

CONCLUSIONS

Bidirectional associations were found between PSF and PSD. In treatment and rehabilitation programs, early focus on the presence of PSD and PSF is important, since these conditions tend to persist. As there are currently more treatment options for PSD, attention for PSD is important and might also have a beneficial effect on PSF.

Baseline Quality of Life and Risk of Stroke in the ALLHAT Study (Antihypertensive and Lipid-Lowering Treatment to Prevent Heart Attack Trial)

BACKGROUND AND PURPOSE

The visual analogue scale is a self-reported, validated tool to measure quality of life (QoL). Our purpose was to determine whether baseline QoL predicted strokes in the ALLHAT study (Antihypertensive and Lipid Lowering Treatment to Prevent Heart Attack Trial) and evaluate determinants of poststroke change in QoL. In the ALLHAT study, among the 33 357 patients randomized to treatment arms, 1525 experienced strokes; 1202 (79%) strokes were nonfatal. This study cohort includes 32 318 (97%) subjects who completed the baseline visual analogue scale QoL estimate.

METHODS

QoL was measured on a visual analogue scale and adjusted using a Torrance transformation (transformed QoL [TQoL]). Kaplan-Meier curves and adjusted proportional hazards analyses were used to estimate the effect of TQoL on the risk of stroke, on a continuous scale (0-1) and by quartiles (≤0.81, >0.81≤0.89, >0.89≤0.95, >0.95). We analyzed the change from baseline to first poststroke TQoL using adjusted linear regression.

RESULTS

After adjusting for multiple stroke risk factors, the hazard ratio for stroke events for baseline TQoL was 0.93 (95% confidence interval, 0.89-0.98) per 0.1 U increase. The lowest baseline TQoL quartile had a 20% increased stroke risk (hazard ratio=1.20 [95% confidence interval, 1.00-1.44]) compared with the reference highest quartile TQoL. Poststroke TQoL change was significant within all treatment groups (P≤0.001). Multivariate regression analysis revealed that baseline TQoL was the strongest predictor of poststroke TQoL with similar results for the untransformed QoL.

CONCLUSIONS

The lowest baseline TQoL quartile had a 20% higher stroke risk than the highest quartile. Baseline TQoL was the only factor that predicted poststroke change in TQoL.

CLINICAL TRIAL REGISTRATION

URL: http://www.clinicaltrials.gov. Unique identifier: NCT00000542.

Combining Standard Conventional Measures and Ecological Momentary Assessment of Depression, Anxiety and Coping Using Smartphone Application in Minor Stroke Population: A Longitudinal Study Protocol

Context: Stroke has several consequences on survivors’ daily life even for those who experience short-lasting neurological symptoms with no functional disability. Depression and anxiety are common psychological disorders occurring after a stroke. They affect long-term outcomes and quality of life but they are difficult to diagnose because of the neurobiological consequences of brain lesions. Current research priority is given to the improvement of the detection and prevention of those post-stroke psychological disorders. Although previous studies have brought promising perspectives, their designs based on retrospective tools involve some limits regarding their ecological validity. Ecological Momentary Assessment (EMA) is an alternative to conventional instruments that could be a key in research for understanding processes that underlined post-stroke depression and anxiety onset. We aim to evaluate the feasibility and validity of anxiety, depression and coping EMA for minor stroke patients.

Methods: Patients hospitalized in an Intensive Neuro-vascular Care Unit between April 2016 and January 2017 for a minor stroke is involved in a study based on an EMA methodology. We use a smartphone application in order to assess anxiety and depression symptoms and coping strategies four times a day during 1 week at three different times after stroke (hospital discharge, 2 and 4 months). Participants’ self-reports and clinician-rates of anxiety, depression and coping are collected simultaneously using conventional and standard instruments. Feasibility of the EMA method will be assessed considering the participation and compliance rate. Validity will be the assessed by comparing EMA and conventional self-report and clinician-rated measures.

Discussion: We expect this study to contribute to the development of EMA using smartphone in minor stroke population. EMA method offers promising research perspective in the assessment and understanding of post-stroke psychological disorders. The development of EMA in stroke population could lead to clinical implications such as remotely psychological follow-ups during early supported discharge.

Trial registration: European Clinical Trials Database Number 2014-A01937-40

MIDAS (Modafinil in Debilitating Fatigue After Stroke): A Randomized, Double-Blind, Placebo-Controlled, Cross-Over Trial

Background and Purpose—

This study aimed to assess the efficacy of modafinil, a wakefulness-promoting agent in alleviating post-stroke fatigue ≥3 months after stroke. We hypothesized that 200 mg of modafinil daily for 6 weeks would result in reduced symptoms of fatigue compared with placebo.

Methods—

This single-center phase 2 trial used a randomized, double-blind, placebo-controlled, crossover design. The key inclusion criterion was a multidimensional fatigue inventory score of ≥60. Patients were randomized to either modafinil or placebo for 6 weeks of therapy, then after a 1 week washout period swapped treatment arms for a second 6 weeks of therapy. The primary outcome was the multidimensional fatigue inventory; secondary outcomes included the Montreal cognitive assessment, the Depression, Anxiety, and Stress Scale (DASS), and the Stroke-Specific Quality of Life (SSQoL) scale. The multidimensional fatigue inventory is a self-administered questionnaire with a range of 0 to 100. Treatment efficacy was assessed using linear regression by estimating within-person, baseline-adjusted differences in mean outcomes after therapy. This trial was registered with the Australian New Zealand Clinical Trials Registry (ACTRN12615000350527).

Results—

A total of 232 stroke survivors were screened and 36 were randomized. Participants receiving modafinil reported a significant decrease in fatigue (multidimensional fatigue inventory, −7.38; 95% CI, −21.76 to −2.99; P<0.001) and improved quality of life (SSQoL, 11.81; 95% CI, 2.31 to 21.31; P=0.0148) compared with placebo. Montreal cognitive assessment and DASS were not significantly improved with modafinil therapy during the study period (P>0.05).

Conclusions—

Stroke survivors with nonresolving fatigue reported reduced fatigue and improved quality of life after taking 200 mg daily treatment with modafinil.

Clinical Trial Registration—

URL: https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=368268. Unique identifier: ACTRN12615000350527.

Factors associated with multidimensional aspect of post-stroke fatigue in acute stroke period

BACKGROUND

Post-stroke fatigue (PSF) is a frequent and distressing consequence of stroke, and can be both acute and long lasting. We aimed to investigate multidimensional aspects of acute PSF and to determine the clinical factors relevant to acute PSF.

METHODS

We collected data of 101 patients admitted to the hospital for acute stroke. PSF was assessed using the Multidimensional Fatigue Inventory within 2 weeks of stroke. Measures included Mini-Mental State Examination, Hospital Anxiety and Depression Scale, and Functional Independence Measure. Stroke character, lesion location, and clinical variables that potentially influence PSF were also collected.

RESULTS

The prevalence of pathological fatigue is 56.4% within 2 weeks of stroke. Binary logistic regression analysis revealed that anxiety was the only predictor for presence of PSF (OR=1.32, 95% CI: 1.13-1.53, P<0.001). Multivariate stepwise regression analysis showed anxiety, right lesion side, thalamus, and/or brainstem were independently associated with general fatigue, right lesion side, depression, diabetes mellitus, and anxiety with physical fatigue, depression with reduced activity, depression, and BMI with reduced motivation, depression, and diabetes mellitus with mental fatigue.

CONCLUSIONS

PSF was highly prevalent in the acute phase, and specific factors including lesion location (right side lesion, thalamic and brainstem lesion), anxiety, and depression were independently associated with multidimensional aspects of PSF. Further study is needed to elucidate how specific structural lesions and anxiety symptoms relate to the development of early fatigue following stroke.

Acute-Phase Fatigue Predicts Limitations with Activities of Daily Living 18 Months after First-Ever Stroke

BACKGROUND

Fatigue during the acute phase following stroke has been shown to predict long-term physical health, specifically increased bodily pain and poorer self-rated general health. The aim of this analysis was to determine whether acute-phase fatigue also predicts patients' limitations in activities of daily living (ADL) 18 months after the first stroke.

METHODS

Patients with first-ever stroke (N = 88) were recruited upon admission at 2 hospitals in Norway. Patients were assessed within 2 weeks following admission and at 18 months using the Barthel Index of Activities of Daily Living (BI), Fatigue Severity Scale, and Beck Depression Inventory II. The relationship between acute-phase fatigue and later activity limitations (BI < 20) was evaluated using multivariate logistic regression analysis controlling for relevant covariates and acute-phase ADL function.

RESULTS

Acute-phase fatigue was associated with activity limitations at 18-month follow-up (P = .002), even when controlling for other predictors of ADL function, including age, gender, baseline work status, and acute-phase depressive symptoms and ADL function. Examining the reverse relationship, acute-phase activity limitations were unrelated to fatigue 18 months after stroke.

CONCLUSION

Our study indicates that acute-phase fatigue may be an independent risk factor for activity limitations 18 months after stroke. This finding suggests that effective treatments for poststroke fatigue both in the acute phase and later in the recovery period may contribute to better stroke rehabilitation.

Self-Reported Fatigue and Associated Factors Six Years after Stroke

Several studies have found that fatigue is one of the most commonly reported symptoms after stroke and the most difficult to cope with. The present study aimed to investigate the presence and severity of self-reported fatigue six years after stroke onset and associated factors. The cohort “Life After Stroke Phase I” (n = 349 persons) was invited at six years to report fatigue (Fatigue Severity Scale 7-item version), perceived impact of stroke and global recovery after stroke (Stroke Impact Scale), anxiety and depression (Hospital Anxiety and Depression Scale), life satisfaction (Life Satisfaction Checklist) and participation in everyday social activities (Frenchay Activities Index). At six years 37% of the 102 participants in this cross-sectional study reported fatigue. The results showed that in nearly all SIS domains the odds for post-stroke fatigue were higher in persons with a higher perceived impact. Furthermore, the odds for post-stroke fatigue were higher in those who had experienced a moderate/severe stroke and had signs of depression and anxiety. Fatigue is still present in one-third of persons as long as six years after stroke onset and is perceived to hinder many aspects of functioning in everyday life. There is an urgent need to develop and evaluate interventions to reduce fatigue.

Influence of Medication on Fatigue Six Months after Stroke

Poststroke fatigue (PSF) is frequent and affects patients' quality of life. Medication use was hypothesized as being responsible for PSF. Our objective was to evaluate potential relationships between 6-month PSF and medication use at discharge and 6 months after an ischemic stroke. This study is part of STROKDEM, an ongoing longitudinal cohort study, whose main aim is to determine predictors of poststroke dementia. Patients were included within 72 hours after an ischemic stroke and followed up with standardized evaluations. Medication use 7 days and 6 months after stroke was rated, and polypharmacy was defined as the number of categories of treatments received by a patient. PSF was evaluated using the Chalder Fatigue Scale. Medical history, vascular risk factors, depression, anxiety, and sleep disturbances were evaluated. One hundred and fifty-three patients were included: 52.9% presented PSF. PSF at 6 months was not predicted by medication use at discharge nor associated with medication use at month 6. We found severity of PSF to be increased in patients with polypharmacy. Our results suggest that PSF is not a side effect of drugs use, which more reflects presence of disturbances frequently observed after stroke such as depression, anxiety, or sleep disturbances. Clinical study is registered on clinicaltrials.gov (NCT01330160).

Fatigue after stroke--perspectives and future directions

Fatigue is a common consequence of stroke and adversely affects long-term outcomes. It is associated with a number of psychological and biological factors. Nevertheless, its mechanisms are not well understood. There may be subtypes of post-stroke fatigue e.g. primary and secondary, subjective fatigue and activity-dependent fatigability--but further research is needed to determine whether such subtypes exist. There is very limited evidence for treatment of fatigue after stroke. Psychosocial treatments and physical activity are promising method for its management. Other potentially effective treatment options include mind-body interventions, and use of psychostimulants. More research is needed in this area.

Examining the relationship between fatigue and cognition after stroke: A systematic review

Many stroke survivors experience fatigue, which is associated with a variety of factors including cognitive impairment. A few studies have examined the relationship between fatigue and cognition and have obtained conflicting results. The aim of the current study was to review the literature on the relationship between fatigue and cognition post-stroke. The following databases were searched: EMBASE (1980-February, 2014), PsycInfo (1806-February, 2014), CINAHL (1937-February, 2014), MEDLINE (1946-February, 2014), Ethos (1600-February, 2014) and DART (1999-February, 2014). Reference lists of relevant papers were screened and the citation indices of the included papers were searched using Web of Science. Studies were considered if they were on adult stroke patients and assessed the following: fatigue with quantitative measurements (≥ 3 response categories), cognition using objective measurements, and the relationship between fatigue and cognition. Overall, 413 papers were identified, of which 11 were included. Four studies found significant correlations between fatigue and memory, attention, speed of information processing and reading speed (r = -.36 to .46) whereas seven studies did not. Most studies had limitations; quality scores ranged from 9 to 14 on the Critical Appraisal Skills Programme Checklists. There was insufficient evidence to support or refute a relationship between fatigue and cognition post-stroke. More robust studies are needed.

Sleep and Motor Learning: Implications for Physical Rehabilitation After Stroke

Sleep is essential for healthy brain function and plasticity underlying learning and memory. In the context of physical impairment such as following a stroke, sleep may be particularly important for supporting critical recovery of motor function through similar processes of reorganization in the brain. Despite a link between stroke and poor sleep, current approaches to rehabilitative care often neglect the importance of sleep in clinical assessment and treatment. This review assimilates current evidence on the role of sleep in motor learning, with a focus on the implications for physical rehabilitation after stroke. We further outline practical considerations for integrating sleep assessment as a vital part of clinical care.

Modafinil May Alleviate Poststroke Fatigue: A Randomized, Placebo-Controlled, Double-Blinded Trial

BACKGROUND AND PURPOSE

Poststroke fatigue is common and reduces quality of life. Current evidence for intervention is limited, and this is the first placebo-controlled trial to investigate treatment of poststroke fatigue with the wakefulness promoting drug modafinil.

METHODS

The trial was randomized, double-blinded, and placebo-controlled. Patients were treated with 400-mg modafinil or placebo for 90 days. Assessments were done at inclusion, 30, 90, and 180 days. The primary end point was fatigue at 90 days measured by the Multidimensional Fatigue Inventory-20 general fatigue domain. Secondary end points included the Fatigue Severity Scale, the Montreal Cognitive Assessment, the modified Rankin Scale and the Stroke-specific quality of Life questionnaire. Adult patients with a recent stroke achieving a score of ≥12 on the Multidimensional Fatigue Inventory-20 general fatigue domain were consecutively included. Exclusion criteria were severe cognitive disabilities and contraindications for modafinil treatment.

RESULTS

One thousand one hundred twenty-one patients with stroke were screened and 41 patients included, 21 received modafinil. The primary end point, the Multidimensional Fatigue Inventory-20 general fatigue score, did not differ between groups. Patients in the modafinil group obtained better scores on the Fatigue Severity Scale (P=0.02) and in some subscales of the stroke-specific quality of life questionnaire (0.001<P<0.05), which were secondary outcomes. No serious adverse reactions were observed and there was no difference in blood pressure between groups.

CONCLUSIONS

There were no significant differences between the 2 groups with regard to the primary end point. There were secondary significant outcomes that should be explored in future trials.

CLINICAL TRIAL REGISTRATION

URL: http://www.clinicaltrials.gov. Unique identifier: NCT01800097.

Post-stroke fatigue and its association with poor functional outcome after stroke in young adults

INTRODUCTION

Post-stroke fatigue negatively influences short-term functional outcome in older stroke survivors. In young adults, in the midst of their active working and family life, this influence may even be more pronounced. However, there are only few studies on this topic in young patients with stroke. Therefore, we investigated the long-term prevalence of post-stroke fatigue in patients with a young transient ischaemic attack (TIA) or ischaemic stroke and its association with functional outcome.

METHODS

This study is part of a large cohort study among 511 stroke survivors with a first-ever TIA or ischaemic stroke, aged 18-50 years. After a mean follow-up of 9.8 (SD 8.4) years, we assessed the presence of fatigue with the fatigue subscale of the Checklist Individual Strength questionnaire and functional outcome. Prevalence of fatigue between young patients with stroke and 147 stroke-free sex-matched and age-matched controls was compared. OR's for poor functional outcome on modified Rankin Score (mRS>2) and Instrumental Activities of Daily Living (IADL<8) and cognitive performance were calculated using logistic regression analysis.

RESULTS

Of the young patients with stroke, 41% experienced symptoms of fatigue, versus 18.4% in controls (p 0.0005). Fatigue was associated with a poor functional outcome, as assessed by the mRS (OR 4.0 (95% CI 1.6 to 9.6), IADL (OR 2.2 (95% CI 1.1 to 4.6), and impairment in speed of information processing (OR 2.2 (95% CI 1.3 to 3.9).

CONCLUSIONS

Fatigue was very common in young stroke survivors and was associated with a poor functional outcome, even after almost a decade of follow-up.

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.

DAMP signaling is a key pathway inducing immune modulation after brain injury

Acute brain lesions induce profound alterations of the peripheral immune response comprising the opposing phenomena of early immune activation and subsequent immunosuppression. The mechanisms underlying this brain-immune signaling are largely unknown. We used animal models for experimental brain ischemia as a paradigm of acute brain lesions and additionally investigated a large cohort of stroke patients. We analyzed release of HMGB1 isoforms by mass spectrometry and investigated its inflammatory potency and signaling pathways by immunological in vivo and in vitro techniques. Features of the complex behavioral sickness behavior syndrome were characterized by homecage behavior analysis. HMGB1 downstream signaling, particularly with RAGE, was studied in various transgenic animal models and by pharmacological blockade. Our results indicate that the cytokine-inducing, fully reduced isoform of HMGB1 was released from the ischemic brain in the hyperacute phase of stroke in mice and patients. Cytokines secreted in the periphery in response to brain injury induced sickness behavior, which could be abrogated by inhibition of the HMGB1-RAGE pathway or direct cytokine neutralization. Subsequently, HMGB1-release induced bone marrow egress and splenic proliferation of bone marrow-derived suppressor cells, inhibiting the adaptive immune responses in vivo and vitro. Furthermore, HMGB1-RAGE signaling resulted in functional exhaustion of mature monocytes and lymphopenia, the hallmarks of immune suppression after extensive ischemia. This study introduces the HMGB1-RAGE-mediated pathway as a key mechanism explaining the complex postischemic brain-immune interactions.

Difference in Motor Fatigue between Patients with Stroke and Patients with Multiple Sclerosis: A Pilot Study

Fatigue is often reported in stroke patients. However, it is still unclear if fatigue in stroke patients is more prominent, more frequent or more "typical" than in patients with multiple sclerosis (MS) and if the pathophysiology differs between these two populations. The purpose of this study was to compare motor fatigue and fatigue-induced changes in kinematic gait parameters between stroke patients, MS patients, and healthy persons. Gait parameters at the beginning and end of a treadmill walking test were assessed in 10 stroke patients, 40 MS patients, and 20 healthy subjects. The recently developed Fatigue index Kliniken Schmieder (FKS) based on change of the movement's attractor and its variability was used to measure motor fatigue. Six stroke patients had a pathological FKS. The FKS (indicating the level of motor fatigue) in stroke patients was similar compared to MS patients. Stroke patients had smaller step length, step height and greater step width, circumduction with the right and left leg, and greater sway compared to the other groups at the beginning and at the end of test. A severe walking impairment in stroke patients does not necessarily cause a pathological FKS indicating motor fatigue. Moreover, the FKS can be used as a measure of motor fatigue in stroke and MS and may also be applicable to other diseases.

Post-stroke fatigue is associated with impaired processing speed and memory functions in first-ever stroke patients

OBJECTIVE

Fatigue is a common consequence of stroke that frequently co-occurs with depression. Data on the cognitive associations of post-stroke fatigue (PSF) is scarce. We investigated the relationship of PSF with depressive symptoms and cognitive functioning after stroke.

METHODS

One hundred and thirty-three working-aged patients with first-ever ischaemic strokes underwent neuropsychological and clinical assessment and evaluation for PSF and depressive symptoms at three months, six months, and two years after stroke. Cognitive domains evaluated included processing speed, memory, executive functions, and reasoning. Fatigue and depressive symptoms were assessed with subscales of the Profile of Mood States.

RESULTS

Patients (mean age: 54 ± 9.5 years, 64.7% male) were divided into groups with (n=33) and without (n=100) PSF at three months after stroke. Patients with PSF at three months after stroke had slower processing speed at three months (p=0.003) and six months (p=0.013) after stroke and worse memory performance at six months (p=0.003) after stroke than patients without PSF. Fatigue was also associated with more depressive symptoms. Impairments in processing speed at 3 months and memory at 6 months after stroke persisted after the depressive symptoms were controlled for. PSF was related to a lower rate of returning to work two years after stroke (p=0.046).

CONCLUSION

PSF at three months after stroke is associated with depressive symptoms and negative cognitive and work-related outcomes following stroke. Deficits in processing speed and memory in patients with PSF were partly observed even after depressive symptoms were controlled for.

Impact of poststroke fatigue on health-related quality of life of nigerian stroke survivors

BACKGROUND AND PURPOSE

A stroke event is often characterized by a number of debilitating consequences that may impact negatively on the health-related quality of life (HRQL) of survivors. This study examined the impact of poststroke fatigue (PSF), a persistent and prevalent stroke consequence, on HRQL of Nigerian stroke survivors.

METHODS

One hundred stroke survivors were recruited from the physiotherapy outpatient departments of two tertiary hospitals in Northern Nigeria. The Fatigue Severity Scale and Health-Related Quality of Life in Stroke Patients-26 were respectively used to assess PSF and HRQL. The independent impact of PSF on overall and domain-specific HRQL was examined using hierarchical regression analyses.

RESULTS

Mean age of the stroke survivors was 55.32 years (SD 13.9 years). The majority were males (66%), had suffered ischemic stroke (70%) and presented with moderately severe disability (42%). After controlling for demographic and stroke-related variables, PSF was found to be significantly and independently associated with all the domains of HRQL albeit at varying degrees. While the influence of PSF on the emotional domain was the most pronounced and uniquely contributed to 15% of the variance in the domain, its influence on the cognitive domain was the least prominent. PSF also solely accounted for 9% of the variation in overall HRQL with higher levels of PSF related with lower HRQL.

CONCLUSIONS

Being a potentially treatable condition, PSF's significant impact on HRQL has implications for successful stroke care and rehabilitation. For instance, addressing PSF through appropriate interventions may assist in enhancing HRQL of stroke survivors.

Can the Fatigue Severity Scale 7-item version be used across different patient populations as a generic fatigue measure--a comparative study using a Rasch model approach

BACKGROUND

Fatigue is a disabling symptom associated with reduced quality of life in various populations living with chronic illnesses. The transfer of knowledge about fatigue from one group to another is crucial in both research and healthcare. Outcomes should be validly and reliably comparable between groups and should not be unduly influenced by diagnostic variations. The present study evaluates whether the Fatigue Severity Scale 7-item version (FSS-7) demonstrates similar item hierarchy across people with multiple sclerosis, stroke or HIV/AIDS to ensure valid comparisons between groups, and provide further evidence of internal scale validity.

METHODS

A secondary comparative analysis was performed using data from three different studies of three different chronic illnesses: multiple sclerosis, stroke and HIV/AIDS. Each of these studies had previously concluded that the FSS-7 has better psychometric properties than the original FSS for measuring fatigue interference. Data from 224 people with multiple sclerosis, 104 people with stroke and 316 people with HIV/AIDS were examined. Item response theory and a Rasch model were chosen to analyze the similarity of the FSS-7 item hierarchy across the three diagnostic groups

RESULTS

Cross-sample differences were found for items #3, #5, #6 and #9 for two of the three samples, which raise questions about item validity across groups. However, disease-specific and disease-generic Rasch measures were similar across samples, indicating that individual fatigue interference measures in these three chronic illnesses might still be reliably comparable using the FSS-7.

CONCLUSIONS

Some items performed differently between the three samples but did not bias person measures, thereby indicating that fatigue interference in these illnesses might still be reliably compared using FSS-7 scores. However, caution is warranted when comparing fatigue raw sum scores directly across diagnostic groups using the FSS-7. Further studies of the scale are needed in other types of chronic illnesses.