Model of understanding fatigue after stroke

Effects of non-pharmacological interventions on fatigue in people with stroke: a systematic review and meta-analysis

BACKGROUND

Fatigue, a common problem following a stroke, can have negative effects on a person's daily life. There are no good interventions thus far for alleviating fatigue among those affected.

OBJECTIVE

This review aimed to evaluate the effects of non-pharmacological interventions on fatigue among people with stroke.

METHODS

A search was conducted for articles in seven databases, clinical trial registry, and backward and forward citations of included publications. Randomized controlled trials, including feasibility and pilot trials, of non-pharmacological interventions for managing fatigue or promoting sleep or both in people with stroke were included. The standardized mean difference in scores for fatigue was analyzed using random effects models.

RESULTS

Ten studies, with 806 participants, were analyzed. The identified interventions included physical interventions, cognitive interventions, a combination of physical and cognitive interventions, oxygen therapy, and complementary interventions. Non-pharmacological interventions had no significant immediate, short-term and medium-term effects on fatigue. The adverse effects of falls and arrhythmia were each found in one participant in circuit training. The risk of bias was high in all studies. The certainty of the evidence ranged from very low to low.

CONCLUSIONS

The evidence in support of any non-pharmacological interventions for alleviating fatigue is still inconclusive in people with stroke. In view of the inadequacies of existing interventions and study designs, addressing the multidimensional characteristics of fatigue may be a possible direction in developing interventions. A robust study design with a larger sample size of people with stroke experiencing fatigue is required to evaluate the effects of interventions.

The Association between fatigue and physical activity in patients hospitalized with subacute stroke

BACKGROUND

Little is known about the association between fatigue and physical activity in patients hospitalized with subacute stroke.

OBJECTIVES

The aim of this study was to investigate the association between fatigue and physical activity in patients hospitalized with subacute stroke.

METHODS

This cross-sectional study enrolled 244 consecutive patients with stroke who were admitted to a subacute rehabilitation ward at our hospital. We assessed fatigue with the Fatigue Assessment Scale (FAS) and used an accelerometer (Active style Pro HJA750-C, OMRON) to record the mean duration of sedentary behavior, light-intensity physical activity (LIPA), and moderate-to-vigorous-intensity physical activity (MVPA). We assessed all factors at 1 month after stroke. Multivariate linear regression analysis revealed the associations between FASscore and objectively measured physical activity.

RESULTS

In total, we analyzed 85 patients. The duration of the sedentary behavior was significantly associated with the FAS score (β  = 1.46, p = 0.037) and the Functional Balance Scale score (β = -1.35, p = 0.045). The LIPA time was significantly associated only with the FBS score (β = 1.38, p = 0.045), whereas MVPA was not associated with any variable.

Association between sleep-disordered breathing and post-stroke fatigue in patients with ischemic stroke

OBJECTIVES

Post-stroke fatigue (PSF) is common and often disabling. Sleep-disordered breathing (SDB) is highly prevalent among stroke survivors and can cause fatigue. We explored the relationship between SDB and PSF over time.

MATERIALS AND METHODS

Ischemic stroke (IS) patients within the BASIC project were offered SDB screening with a well-validated cardiopulmonary sleep apnea test at 0, 3-, 6-, and 12-months post-stroke. The primary exposure was the respiratory event index (REI; sum of apneas plus hypopneas per hour). The primary outcome was PSF, measured by the SF-36 vitality scale. Associations between REI and PSF were evaluated using linear regression including time-by-REI interactions, allowing the effect of REI to vary over time.

RESULTS

Of the 411 IS patients who completed at least one outcome interview, 44 % were female, 61 % Mexican American (MA), 26 % non-Hispanic white, with a mean age of 64 (SD 10). Averaged across timepoints, REI was not associated with PSF. In a time-varying model, higher REI was associated with greater PSF at 3-months (β = 1.75, CI = 0.08, 3.43), but not at 6- or 12-months. Across timepoints, female sex, depressive symptoms, and comorbidity burden were associated with greater PSF, whereas MA ethnicity was associated with less PSF.

CONCLUSIONS

Higher REI was associated with modestly greater PSF in the early post-stroke period, but no association was observed at 6 months and beyond. SDB may be a modest modifiable risk factor for early PSF, but its treatment is unlikely to have a substantial impact on long-term PSF. MA ethnicity seems to be protective against PSF.

The impact of post-stroke fatigue on inpatient rehabilitation outcomes: An observational study

BACKGROUND

Post-stroke fatigue is a typical complication following stroke. However, existing research primarily focused on its underlying mechanisms, and its impact on rehabilitation outcomes has yet to be uncovered.

OBJECTIVE

This study aims to explore the impact of post-stroke fatigue on rehabilitation outcomes during hospitalization.

METHOD

This was a prospective multicenter observational study including 46 stroke patients receiving comprehensive rehabilitation treatment. Patients' basic information was recorded upon admission and patients' functional independence was assessed with Functional Independence Measure (FIM) both upon admission and discharge. One week after rehabilitation treatment, fatigue, positivity in daily activity, attention, and memory were assessed. Serum biochemical indicators and levels of C-reactive protein (CRP) were assessed weekly following admission. The pain scores were assessed during the first week of hospitalization to calculate the average. Correlation analysis, linear regression and propensity score matching (PSM) were used to analyze the impact of fatigue on FIM scores at discharge and length of hospital stay.

RESULT

The proportion of patients with low fatigue was 39.13% and significant improvement was revealed in FIM scores upon admissions and discharge [(50.67±18.61) vs. (75.13±21.04), P<0.05]. Positivity in daily activity, attention, and age are factors that influence post-stroke fatigue. After PSM, low-fatigue group (Fatigue score< 3) showed significant higher motor function independence at discharge [(54.39 ± 15.42) vs. (41.89 ± 14.90), P<0.05] and shorter hospital stay [(28.54±9.13)d vs. (37.32 ± 9.81)d, P<0.05] than high-fatigue group. There was a significant difference (P<0.05) in level of CRP between the first inpatient week and the third week, with declining trend.

CONCLUSION

Post-stroke fatigue can affect the rehabilitation outcomes regarding motor function independence and length of hospital stay.

Feasibility of a novel blended-care intervention for fatigue after acquired brain injury: a pilot study of the Tied by Tiredness intervention

PURPOSE

Evidence-based treatments for fatigue after brain injury are scarce and often not personalized. An approach to foster personalization is Experience Sampling Methodology (ESM), consisting of repeated daily measurements of fatigue and related factors in daily life. We investigated the feasibility and usability of a novel six-week ESM-based intervention for fatigue after brain injury.

MATERIALS AND METHODS

Ten individuals with acquired brain injury (six men; four women) aged between 36-70 years (M = 53.3, SD = 12.9) used a mHealth application for three days each week during six-weeks; seven completed the intervention. Momentary fatigue, activities, mood, worrying, and social context were assessed with ESM and participants received weekly personalized feedback by a therapist..

RESULTS

56% of ESM-questionnaires (568/1008) were completed, providing detailed insights into individual fatigue patterns. No statistically significant decrease in response rate was found over the course of treatment. Qualitative feedback from participants revealed increased insight into factors underlying fatigue, and no problems with treatment duration or difficulties using the app. Five participants showed a decline in fatigue level during treatment.

CONCLUSIONS

This pilot study provides initial support for the feasibility and usability of this novel blended-care intervention, aimed at alleviating fatigue through personalized feedback and treatment strategies.

A Machine Learning Approach to Predict Post-stroke Fatigue. The Nor-COAST study

OBJECTIVE

This study aimed to predict fatigue 18 months post-stroke by utilizing comprehensive data from the acute and sub-acute phases after stroke in a machine-learning set-up.

DESIGN

A prospective multicenter cohort-study with 18-month follow-up.

SETTING

Outpatient clinics at 3 university hospitals and 2 local hospitals.

PARTICIPANTS

474 participants with the diagnosis of acute stroke (mean ± SD age; 70.5 (11.3), 59% male; N=474).

INTERVENTIONS

Not applicable.

MAIN OUTCOME MEASURES

The primary outcome, fatigue at 18 months, was assessed using the Fatigue Severity Scale (FSS-7). FSS-7≥5 was defined as fatigue. In total, 45 prediction variables were collected, at initial hospital-stay and 3-month post-stroke.

RESULTS

The best performing model, random forest, predicted 69% of all subjects with fatigue correctly with a sensitivity of 0.69 (95% CI: 0.50, 0.86), a specificity of 0.74 (95% CI: 0.66, 0.83), and an Area under the Receiver Operator Characteristic curve of 0.79 (95% CI: 0.69, 0.87) in new unseen data. The proportion of subjects predicted to suffer from fatigue, who truly suffered from fatigue at 18-months was estimated to 0.41 (95% CI: 0.26, 0.57). The proportion of subjects predicted to be free from fatigue who truly did not have fatigue at 18-months was estimated to 0.90 (95% CI: 0.83, 0.96).

CONCLUSIONS

Our findings indicate that the model has satisfactory ability to predict fatigue in the chronic phase post-stroke and may be applicable in clinical settings.

Factors associated with fatigue among people who have returned to work after stroke: an exploratory study

OBJECTIVE

To explore the associations between fatigue impact and (a) personal and stroke-related characteristics, (b) functional impairments and (c) work-related factors among individuals who have returned to work after stroke.

DESIGN

A cross-sectional exploratory study.

SUBJECTS

87 working stroke survivors.

METHODS

This study comprises data from a postal survey targeting work ability and perceived stroke-related consequences 1 year after stroke. Fatigue was evaluated using the Fatigue Severity Scale (FSS). Factors associated with having fatigue (FSS total score ≥ 4) were identified using univariable and multivariable logistic regression analyses. Three domain-specific multivariable models and 1 final combined model were created.

RESULTS

Fatigue was reported by 43% of the participants. Several factors representing all the investigated domains were associated with fatigue. In the final combined regression model, self-perceived low cognitive functioning, low decision control at work and high quantitative job demands had the strongest independent effects on the odds of having fatigue.

CONCLUSION

Among people who were working 1 year after stroke, fatigue was associated with both personal and stroke-related characteristics as well as functional impairments and work-related factors. This highlights the complex nature of post-stroke fatigue. Fatigue management interventions should have a comprehensive approach and also consider the work environment.

Post-stroke fatigue: a review of development, prevalence, predisposing factors, measurements, and treatments

Background

Post-stroke fatigue (PSF) is a ubiquitous and overwhelming symptom for most stroke survivors. However, there are no effective management strategies for PSF, which is partly due to our limited understanding.

Objective

In this paper, we review the development, prevalence, predisposing factors, measurements, and treatments of PSF.

Results

PSF is an independent symptom after stroke, with a prevalence ranging from 42 to 53%, which depends on the selection of measurement tools and stroke characteristics. It is affected by biological, physical, and psychological factors, among which inflammation may play a key role.

Conclusion

Numerous but non-specific evaluation measurement tools limit the management of PSF. In clinical practice, it may be beneficial to identify PSF by combining scales and objective indexes, such as walking tests and electromyographic examinations. There are no evidence-based interventions to improve PSF. However, increasing evidence suggests that transcranial direct-current stimulation and mindfulness-based interventions may become promising treatments. Further studies are urgently needed to better understand the etiology of PSF, thereby providing the basis for developing new measurement tools and targeted treatments.

Is there evidence for a relationship between cognitive impairment and fatigue after acquired brain injury: a systematic review and meta-analysis

PURPOSE

Fatigue is a major symptom of ABI. Greater fatigue is associated with cognitive impairment. Our aim was to systematically review, describe and analyse the literature on the extent of this relationship.

METHODS

Five databases were searched from inception. Studies were included where: participants had a defined clinical diagnosis of ABI which included TBI, stroke or subarachnoid haemorrhage; a fatigue measure was included; at least one objective cognitive measure was used. Three reviewers individually identified studies and determined quality using the Quality Assessment Tool for Observational Cohort and Cross-sectional Studies.

RESULTS

Sixteen of the 412 identified studies, investigating the relationship between cognitive dysfunction and fatigue, comprising a total of 1,745 participants, were included. Quality ranged from fair to good. Meta-analysis found fatigue was significantly associated with an overall pattern of cognitive slowing on tasks of sustained attention. A narrative synthesis found weak associations with fatigue and information processing, attention, memory and executive function.

CONCLUSION

Analysis found sustained attentional performance had stronger associations with fatigue after ABI. Whereas, weak associations were found between fatigue and information processing, attention and to some extent memory and executive function. More focused research on specific cognitive domains is needed to understand the mechanisms of fatigue.

The impact of post-stroke fatigue on work and other everyday life activities for the working age population - a registry-based cohort study

INTRODUCTION

Life after stroke is a comprehensive area that involves engagement in meaningful everyday activities, including work, and can be adversely affected by post-stroke fatigue. This study investigates post-stroke fatigue, its development over time, and its impact on return to work and other everyday life activities. In addition, we investigated whether post-stroke fatigue could predict functioning in everyday life activities one year after stroke.

MATERIAL AND METHODS

This prospective registry-based study includes 2850 working age (18 - 63 years) patients registered in the Swedish Stroke Register (Riksstroke) during year 2017 and 2018. Post-stroke fatigue and everyday activities were analyzed 3- and 12-months post-stroke.

RESULTS

The mean age of the included participants was 54 years and the majority, 65%, were men. Three months post-stroke, 43% self-reported fatigue, at 12-months the proportion increased to 48%. About 90% of the patients were independent in basic ADL at 3-month. Dependence in complex activities one year post-stroke was significantly associated with fatigue. Not experiencing fatigue one year after stroke could predict positive functioning in everyday activities, increasing the chance of returning to work (OR = 3.7) and pre-stroke life and everyday activities (OR = 5.7).

CONCLUSION

Post-stroke fatigue is a common persistent disability that negatively impacts complex activities; therefore, fatigue needs to be acknowledged and addressed long term after discharge.

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).

Post-stroke depression in Vietnamese patients is associated with decreased sleep quality and increased fatigue: a one-institution cross-sectional analysis

PURPOSE

This study aimed to determine the prevalence of post-stroke depression (PSD) during the first year and its associated factors, especially focusing on sleep quality and fatigue severity.

METHODS

A cross-sectional study was conducted among stroke patients in Vietnam's National Geriatric Hospital. Data were collected by using standardized questionnaires for interviewing and evaluating patients at the research site. Several covariables were presented including demographics, stroke-related characteristics, activities of daily living, post-stroke fatigue, and sleep quality (Pittsburgh Sleep Quality Index [PSQI] scale). PSD was assessed as an outcome variable through the Patient Health Questionnaire-9 scale. To summarize sociodemographic and clinical variables, descriptive statistics were performed. A logistic regression model was used to explore the factors related to PSD.

RESULTS

Of 157 patients with stroke, mean age 73.1 (± 9.6), PSD was present in 60 patients (38%). The global score and all PSQI components of participants with PSD showed worse levels than those without depression. Furthermore, the prevalence of PSD was higher in patients with low IADL scores and functional disability at high levels. In the multivariate logistic regression analysis, the patients with PSD showed higher Fatigue Severity Scale (FSS) scores (OR = 4.11; 95% CI = 1.39; 12.19) and higher scores in two domains of the PSQI scale including subjective sleep quality (OR = 3.03; 95% CI = 1.21; 7.58) and sleep disturbance (OR = 5.22; 95% CI = 1.33; 20.47).

CONCLUSION

There is a significant prevalence of depression following stroke. Furthermore, post-stroke fatigue and two PSQI scale components (subjective sleep quality and sleep disturbance) were shown to be associated with PSD. This finding may guide early screening and intervention strategies to address depression following stroke.

Self-management from the perspective of people with stroke - An interview study

OBJECTIVE

Self-management support can improve quality of life, mood, self-efficacy, and physical function following a stroke. Knowledge of how people with stroke understand and experience self-management in different contexts is crucial to developing effective self-management support. This study explored how people with stroke understand and practice self-management during the post-acute phase.

METHOD

A descriptive study using qualitative content analysis to explore data from semistructured interviews RESULTS: Eighteen participants were interviewed. Most participants interpreted self-management as 'taking care of their business' and 'being independent". However, they encountered difficulties performing daily activities, for which they felt unprepared. Although interest in implementing self-management support increases, participants did not report receiving specific advice from healthcare professionals.

CONCLUSION

People continue to feel unprepared to manage everyday activities after hospital discharge and must largely work things out for themselves. There is an overlooked opportunity to start the process of self-management support earlier in the stroke pathway, with healthcare professionals and people with stroke combining their skills, ideas and expertise. This would enable confidence to self-management to flourish rather than decrease during the transition from hospital to home.

PRACTICAL IMPLICATIONS

Individual tailored self-management support could help people with stroke more successfully manage their daily lives post-stroke.

Awareness and support for post-stroke fatigue among medical professionals in the recovery phase rehabilitation ward

Sato M, Hyakuta T. Awareness and support for post-stroke fatigue among medical professionals in the recovery phase rehabilitation ward. Jpn J Compr Rehabil Sci 2023; 14: 39-48.

Objective

To clarify the level of awareness of and support for post-stroke fatigue among medical professionals working in recovery phase rehabilitation wards.

Methods

We conducted a questionnaire survey targeting all medical professionals (physicians, nurses, physical therapists, occupational therapists, and speech therapists) working in recovery phase rehabilitation wards of three facilities to evaluate their awareness of post-stroke fatigue and the support they were offering to address this. Quantitative data were subjected to statistical analysis and free description data were subjected to content analysis.

Results

Of the 130 participants, we obtained responses from 94 (collection rate, 72.3%; valid response rate, 100%). Those who felt that post-stroke patients are always tired or tire easily comprised 63.8%. Those who acknowledged the importance of post-stroke fatigue as a problem and that it is an issue that must be addressed comprised 70.2% and 73.4%, respectively. Issues emerging due to post-stroke fatigue were extracted as follows: "Difficulty continuing with rehabilitation," "Decreased drive," "Difficulty with emotional control/depression," "Fewer interactions with others," and "Loss of goals." Support for post-stroke fatigue was offered by 57.4% of medical professionals, most commonly as individual support such as "Ensure rest." The effects of support were described as "Cannot say either way" (44.4%), with 3.7% noting that they were not very effective. Awareness and support rates among therapists were significantly higher than those among nurses.

Conclusions

Post-stroke fatigue is acknowledged by medical professionals as a critical issue that negatively influences the patient's physical, emotional, and daily living functions. Unfortunately, effective support is not currently being offered, demonstrating the need for the development of appropriate interventions.

Measurement Properties of the Dutch Multifactor Fatigue Scale in Early and Late Rehabilitation of Acquired Brain Injury in Denmark

Fatigue is a major issue in neurorehabilitation without a gold standard for assessment. The purpose of this study was to evaluate measurement properties of the five subscales of the self-report questionnaire the Dutch Multifactor Fatigue Scale (DMFS) among Danish adults with acquired brain injury. A multicenter study was conducted (N = 149, 92.6% with stroke), including a stroke unit and three community-based rehabilitation centers. Unidimensionality and measurement invariance across rehabilitation settings were tested using confirmatory factor analysis. External validity with Depression Anxiety Stress Scales (DASS-21) and the EQ-5D-5L was investigated using correlational analysis. Results were mixed. Unidimensionality and partial invariance were supported for the Impact of Fatigue, Mental Fatigue, and Signs and Direct Consequences of Fatigue, range: RMSEA = 0.07–0.08, CFI = 0.94–0.99, ω = 0.78–0.90. Coping with Fatigue provided poor model fit, RMSEA = 0.15, CFI = 0.81, ω = 0.46, and Physical Fatigue exhibited local dependence. Correlations among the DMFS, DASS-21, and EQ-5D-5L were in expected directions but in larger magnitudes compared to previous research. In conclusion, three subscales of the DMFS are recommended for assessing fatigue in early and late rehabilitation, and these may facilitate the targeting of interventions across transitions in neurorehabilitation. Subscales were strongly interrelated, and the factor solution needs evaluation.

Fatigue 7 years post-stroke: Predictors and correlated features

Background

Post‐stroke fatigue (PSF) is common with great impact on quality of life. We explored predictive and cross‐sectionally correlated features in the long term after ischemic stroke.

Methods

This study comprises 430 participants of the prospective Sahlgrenska Academy Study on Ischemic Stroke (SAHLSIS), aged 18–69 years at index stroke. Information on acute stroke severity and cardiovascular risk factors was collected at index stroke. After 7 years, PSF was assessed by the Daily Fatigue Impact Scale (D‐FIS). Cognitive, neurological, and functional outcomes, and symptoms of depression and anxiety, pain, insomnia, and physical activity were also assessed. Associations between baseline variables and PSF were analyzed by ordinal regression. Correlations between PSF and cross‐sectionally assessed variables, and between PSF and baseline variables, were analyzed with Spearman's or point‐biserial correlation for the whole sample and in sex‐stratified analyses.

Results

At 7 years post‐stroke, 80% of the participants reported some impact of fatigue. Female sex and stroke severity were independently associated with PSF, whereas no associations were detected with baseline cardiovascular risk factors. In cross‐sectional analyses at 7 years, we found correlations between PSF and poor functional, neurological, and cognitive outcomes, as well as depressive symptoms, anxiety, insomnia, pain, and low physical activity (p < .001 throughout). The correlation with insomnia was stronger in women than in men (two‐way ANOVA interaction test, p = .03).

Conclusions

Our findings confirm that PSF is common in the long term after ischemic stroke and show a complex interplay with sex and several other outcomes. Future studies should address causal relationships and interventions towards fatigue and coexisting features.

Post stroke intervention trial in fatigue (POSITIF): Randomised multicentre feasibility trial

OBJECTIVE

To test the feasibility of a telephone delivered intervention, informed by cognitive behavioural principles, for post-stroke fatigue, and estimated its effect on fatigue and other outcomes.

DESIGN

Randomised controlled parallel group trial.

SETTING

Three Scottish stroke services.

SUBJECTS

Stroke survivors with fatigue three months to two years post-stroke onset.

INTERVENTIONS

Seven telephone calls (fortnightly then a 'booster session' at 16 weeks) of a manualised intervention, plus information about fatigue, versus information only.

MAIN MEASURES

Feasibility of trial methods, and collected outcome measures (fatigue, mood, anxiety, social participation, quality of life, return to work) just before randomisation, at the end of treatment (four months after randomisation) and at six months after randomisation.

RESULTS

Between October 2018 and January 2020, we invited 886 stroke survivors to participate in postal screening: 188/886 (21%) returned questionnaires and consented, of whom 76/188 (40%) were eligible and returned baseline forms; 64/76 (84%) returned six month follow-up questionnaires. Of the 39 allocated the intervention, 23 (59%) attended at least four sessions. At six months, there were no significant differences between the groups (adjusted mean differences in Fatigue Assessment Scale -0.619 (95% CI -4.9631, 3.694; p = 0.768), the Generalised Anxiety Disorder 7 -0.178 (95% CI -3.823, 3.467, p = 0.92), and the Patient Health Questionnaire -0.247 (95% CI -2.935, 2.442, p = 0.851). There were no between-group differences in quality of life, social participation or return to work.

CONCLUSION

Patients can be recruited to a trial of this design. These data will inform the design of further trials in post-stroke fatigue.

No add-on effect of tDCS on fatigue and depression in chronic stroke patients: A randomized sham-controlled trial combining tDCS with computerized cognitive training

BACKGROUND

Fatigue and emotional distress rank high among self-reported unmet needs in life after stroke. Transcranial direct current stimulation (tDCS) may have the potential to alleviate these symptoms for some patients, but the acceptability and effects for chronic stroke survivors need to be explored in randomized controlled trials.

METHODS

Using a randomized sham-controlled parallel design, we evaluated whether six sessions of 1 mA tDCS (anodal over F3, cathodal over O2) combined with computerized cognitive training reduced self-reported symptoms of fatigue and depression. Among the 74 chronic stroke patients enrolled at baseline, 54 patients completed the intervention. Measures of fatigue and depression were collected at five time points spanning a 2 months period.

RESULTS

While symptoms of fatigue and depression were reduced during the course of the intervention, Bayesian analyses provided evidence for no added beneficial effect of tDCS. Less severe baseline symptoms were associated with higher performance improvement in select cognitive tasks, and study withdrawal was higher in patients with more fatigue and younger age. Time-resolved symptom analyses by a network approach suggested higher centrality of fatigue items (except item 1 and 2) than depression items.

CONCLUSION

The results reveal no add-on effect of tDCS on fatigue or depression but support the notion of fatigue as a relevant clinical symptom with possible implications for treatment adherence and response.

Reducing fatigue following acquired brain injury: A feasibility study of high intensity interval training for young adults

The aim was to evaluate feasibility of high-intensity interval training (HIIT) in fatigued adults (20-40 years old) with acquired brain injury (ABI). A prospective pre-post single-arm intervention trial was conducted, including 6-8 months follow-up assessment and interview. Intervention was 18 sessions of intermittent exercise on a cycle ergometer over six weeks. Six out of ten participants without motor impairments completed the intervention (all females, mean age = 30.2 years, months post-injury = 22). On average, participants attended 88% of sessions and achieved high intensity (93% of max heart rate). VO_2max improved by 0.53 l/min (SD = 0.29), and participants continued exercising post-intervention. All participants were satisfied with HIIT, were more inclined to exercise, and reported positive effects of exercising for self-management of fatigue. Three sessions a week were demanding to some participants. Findings support feasibility of HIIT as a promising intervention for young adults with post-ABI fatigue.

Association of Lesion Location and Fatigue Symptoms After Ischemic Stroke: A VLSM Study

Background:

Poststroke fatigue (PSF) is a common symptom in stroke survivors, yet its anatomical mechanism is unclear. Our study was aimed to identify which brain lesions are related to the PSF in patients with acute stroke.

Method

Patients with first-ever acute ischemic stroke consecutively admitted from the first affiliated hospital of the University of Science and Technology of China (USTC) between January 2017 and June 2020. Fatigue was scored using the Fatigue Severity Scale. All the participants were assessed by 3.0 T brain MRI including diffusion-weighted imaging. The infarct lesions were delineated manually and transformed into a standard template. Voxel-based lesion-symptom mapping (VLSM) was applied to investigate the association between lesion location and the occurrence and severity of fatigue. The same analyses were carried out by flipping the left-sided lesions. Multivariate logistic regressions were applied to verify the associations.

Results

Of the 361 patients with acute stroke, 142 (39.3%) patients were diagnosed with fatigue in the acute phase and 116 (35.8%) at 6 months after the index stroke. VLSM analysis indicated clusters in the right thalamus which was significantly associated with the occurrence and severity of PSF at 6-month follow-up. In contrast, no significant cluster was found in the acute phase of stroke. The flipped analysis did not alter the results. Multivariate logistic regression verified that lesion load in the right thalamus (OR 2.67, 95% CI 1.46–4.88) was an independent predictor of 6-month PSF.

Conclusion

Our findings indicated that lesions in the right thalamus increased the risk of fatigue symptoms 6 months poststroke.

Adaptation to poststroke fatigue in stroke survivors and their care partners: a scoping review

PURPOSE

Fatigue is a long-term symptom for stroke survivors. This scoping review synthesized how survivors achieve fatigue adaptation.

METHODS

Four databases were searched for studies between 2012 and 2021. Qualitative studies or qualitative findings from mixed-methods studies were included if they described survivors' experiences with fatigue and/or care partners' experiences in helping survivors adapt to fatigue. Studies were excluded if they were poster abstracts, reviews, or editorials.

RESULTS

Thirty-six articles were analyzed. Survivors with fatigue described different adaptive challenges - fatigue made them less productive, brought emotional distress, and was indiscernible to others. To respond to these challenges, stroke survivors did adaptive work including conserving energy, changing mindset, and restructuring normality. Care partners, employers, and colleagues showed adaptive leadership by adjusting daily routines or role responsibilities. Most survivors described that the current clinical practice did not meet their needs to address fatigue.

CONCLUSIONS

Stroke survivors had many types of challenges and strategies for fatigue adaptation. Survivors received family, employer, and colleague support but how care partners help survivors develop new skills is unknown. Stroke survivors expressed that healthcare professionals need to teach survivors and care partners basic knowledge of fatigue that meet their personal needs and provide adaptive interventions for survivors. Implications for rehabilitationThe challenges of poststroke fatigue are multifaceted because fatigue influences stroke survivors' physical, cognitive, mental, and social aspects of recovery.Stroke survivors need support from their care partners such as helping them adapt to the fatigue, adapt to new life routine, and adjust role responsibilities.Healthcare professionals, stroke survivors, and care partners need to work together to develop strategies about poststroke fatigue that meet stroke survivors' personal needs.

“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.

Neuroimaging Parameters Are Not Associated With Chronic Post-stroke Fatigue in Young Stroke Patients

Introduction

Post-stroke fatigue is frequently present in young adults, but its underlying mechanism is still unclear. The aim of the study was to investigate the association between lesion location, network efficiency and chronic post-stroke fatigue based on voxel-based lesion-symptom mapping and structural network connectivity analysis.

Patients and Methods

One hundred and thirty five young patients, aged 18–50 years, with a first-ever transient ischemic attack or cerebral infarction from the Follow-Up of Transient ischemic attack and stroke patients and Unelucidated Risk factor Evaluation (FUTURE) study, underwent 1.5T MRI and were assessed for fatigue using the self-report Checklist Individual Strength. Stroke lesions were manually segmented, and structural network efficiency was calculated using the diffusion MRI-based brain networks and graph theory for each patient. Univariate and multivariate analyses was performed to study the associations between MRI parameters and chronic post-stroke fatigue. In addition, we used voxel-based lesion-symptom mapping to analyze the relationship between the lesion location and chronic post-stroke fatigue.

Results

Mean age at index event was 39.0 years (SD ± 8.2), and mean follow-up duration was 11.0 years (SD ± 8.0). 50 patients (37%) had post-stroke fatigue. Voxel-based lesion-symptom mapping showed no significant relation between stroke lesions and the presence of chronic post-stroke fatigue. Furthermore, there were no significant associations between the lesion size or network efficiency, and the presence of chronic post-stroke fatigue.

Discussion

We did not find any association between stroke characteristics (lesion location and size) and chronic post-stroke fatigue (CIS20-R), nor associations between structural brain network connectivity and post-stroke fatigue on the long term in young stroke patients.

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.

Serum Uric Acid Levels at Admission Could Predict the Chronic Post-stroke Fatigue

Background

Post-stroke fatigue (PSF) is a frequent complication of stroke. Serum uric acid (SUA) is frequently thought to be a risk factor for stroke. This study aimed to investigate whether SUA also played a role in PSF.

Methods

Subjects with ischemic stroke were screened from The First Affiliated Hospital of Wenzhou Medical University between January 2020 and October 2020. Patients' fatigue symptoms were assessed by the Fatigue severity scale (FSS). To investigate the relationship between SUA and PSF, binary logistic regression analysis was conducted, with the confounders being controlled. SUA levels were divided into four layers (Q1 ≤ 245 μmol/L; Q2 246–308 μmol/L; Q3 309–365 μmol/L; Q4 ≥366 μmol/L) based on the quartiles.

Results

SUA levels were significantly higher in the PSF group (345.96 ± 73.78 μmol/L) than the non-PSF group (295.97 ± 87.8 μmol/L, P < 0.001). There were no differences in any other variables between these two groups. After adjusting the confounders, the risk of PSF in the Q4 layer (≥366 μmol/L) was 6.05 times (95% CI 1.79–20.43, P = 0.004) higher than that in Q1 (≤245 μmol/L).

Conclusion

High SUA at admission was an independent risk factor for fatigue 1 year after stroke onset. High SUA (≥366 μmol/L) during stroke deserves more attention, and active control of high SUA levels may be beneficial to reduce the incidence of PSF in the chronic stage following stroke.

Effect of the Early Administration of Selective Serotonin Reuptake Inhibitors on the Time Course of Poststroke Fatigue: A 2-Year Longitudinal Study

Background

Poststroke fatigue (PSF) is a dynamic process over time. Current evidence for interventions for PSF is limited. Our study investigated the effects of selective serotonin reuptake inhibitors (SSRIs) on the time course of PSF.

Methods

The patients with acute ischaemic stroke were enrolled in this study. All patients were scored with the Fatigue Severity Scale (FSS) at baseline and 6, 12, and 24 months after the index stroke. The time course of PSF was classified as non-PSF, incident PSF, recovered PSF and persistent PSF according to the PSF status at baseline and the 24-month follow-up. Multivariate logistic regression analysis and generalized mixed model were applied to explore the relationships between SSRIs and the time course of PSF.

Results

Eight hundred forty-seven patients were analyzed in this study. No significant association between SSRIs and the time course of PSF was observed in all patients (p = 0.076). The subgroup analyses indicated that SSRI antidepressants reduced the risk of incident PSF [Odds Ratio (OR) 0.23; 95% confidence interval (CI) 0.05–0.96, p = 0.044] and persistent PSF (OR 0.28; 95% CI 0.09–0.90, p = 0.033) in the PSD subgroup, but not in the non-PSD group. In the longitudinal analysis, generalized logistical mixed-effect models indicated that early administration of SSRIs reduced the risk (OR 0.955; 95% CI 0.928–0.984, p = 0.002) and severity (β = −0.018, p = 0.041) of PSF in the PSD subgroup.

Conclusion

No relationship was identified between the use of SSRIs and the time course of PSF in all patients. However, these drugs might be effective in PSF patients with depression.

Neural effective connectivity explains subjective fatigue in stroke

Persistent fatigue is a major debilitating symptom in many psychiatric and neurological conditions, including stroke. Post-stroke fatigue has been linked to low corticomotor excitability. Yet, it remains elusive as to what the neuronal mechanisms are that underlie motor cortex excitability and chronic persistence of fatigue.

In this cross-sectional observational study, in two experiments we examined a total of 59 non-depressed stroke survivors with minimal motoric and cognitive impairments using ‘resting-state’ MRI and single- and paired-pulse transcranial magnetic stimulation.

In the first session of Experiment 1, we assessed resting motor thresholds—a typical measure of cortical excitability—by applying transcranial magnetic stimulation to the primary motor cortex (M1) and measuring motor-evoked potentials in the hand affected by stroke. In the second session, we measured their brain activity with resting-state MRI to assess effective connectivity interactions at rest. In Experiment 2 we examined effective inter-hemispheric connectivity in an independent sample of patients using paired-pulse transcranial magnetic stimulation. We also assessed the levels of non-exercise induced, persistent fatigue using Fatigue Severity Scale (FSS-7), a self-report questionnaire that has been widely applied and validated across different conditions. We used spectral dynamic causal modelling in Experiment 1 and paired-pulse transcranial magnetic stimulation in Experiment 2 to characterize how neuronal effective connectivity relates to self-reported post-stroke fatigue. In a multiple regression analysis, we used the balance in inhibitory connectivity between homologue regions in M1 as the main predictor, and have included lesioned hemisphere, resting motor threshold and levels of depression as additional predictors.

Our novel index of inter-hemispheric inhibition balance was a significant predictor of post-stroke fatigue in Experiment 1 (β = 1.524, P = 7.56 × 10⁻⁵, confidence interval: 0.921 to 2.127) and in Experiment 2 (β = 0.541, P = 0.049, confidence interval: 0.002 to 1.080). In Experiment 2, depression scores and corticospinal excitability, a measure associated with subjective fatigue, also significantly accounted for variability in fatigue.

We suggest that the balance in inter-hemispheric inhibitory effects between primary motor regions can explain subjective post-stroke fatigue. Findings provide novel insights into neural mechanisms that underlie persistent 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.

A randomized controlled trial to explore the efficacy and safety of transcranial direct current stimulation on patients with post-stroke fatigue

BACKGROUND

Post-stroke fatigue seriously affects the quality of life for stroke patients. There is no effective treatment at present. transcranial direct current stimulation (tDCS) is a non-invasive brain stimulation which may have therapeutic effect on post-stroke fatigue. This study will explore about this.

METHOD

A total of 60 patients with post-stroke fatigue were randomly divided into the control group and the treatment group with 30 patients each by minimization randomization. Both groups received basic treatment and conventional rehabilitation. In the treatment group, patients were treated with active tDCS, while in the control group, sham tDCS. Both active and sham tDCS were administered 6 times a week for 4 weeks. Before and after the trial, the Fatigue Severity Scale (FSS), Fugl-Meyer Assessment (FMA) and Modified Barthel Index (MBI) were evaluated and analyzed. And comparisons were made among groups. And there were an 8-week follow-up after the intervention.

RESULT

Before the intervention, there were no significant differences in baseline data and assessment scores between the groups (P > 0.05). After 4 weeks of intervention, FSS scores in the treatment group were significantly lower than those in the control group (P = 0.012), and FMA and BMI scores were significantly higher than those in the control group (P < 0.05). There was no significant change in FSS scores after 8 months of follow-up (P > 0.05).

DISCUSSION

TDCS is a safe treatment that can effectively reduce the degree of fatigue after stroke, improve the motor function and daily activity ability of patients after stroke, and the efficacy is better than only routine rehabilitation training.

TRIAL REGISTRATION NUMBER

Chinese Clinical Trial Registry, ChiCTR2000031120. Registered on March 22, 2020.

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

BACKGROUND

Fatigue is associated with poor functional outcomes and increased mortality following stroke. Survivors identify fatigue as one of their key unmet needs. Despite the growing body of research into post-stroke fatigue, the specific neural mechanisms remain largely unknown.

AIM

This observational study aimed to identify resting state brain activity markers of post-stroke fatigue.

METHOD

Sixty-three stroke survivors (22 women; age 30-89 years; mean 67.5 ± 13.4 years) from the Cognition And Neocortical Volume After Stroke study, a cohort study examining cognition, mood, and brain volume in stroke survivors following ischemic stroke, underwent brain imaging three months post-stroke, including a 7-minute resting state functional magnetic resonance imaging. We calculated the fractional amplitude of low-frequency fluctuations, which is measured at the whole-brain level and can detect altered spontaneous neural activity of specific regions.

RESULTS

Forty-five participants reported experiencing post-stroke fatigue as measured by an item on the Patient Health Questionnaire-9. Fatigued compared to non-fatigued participants demonstrated significantly lower resting-state activity in the calcarine cortex (p < 0.001, cluster-corrected pFDR = 0.009, k = 63) and lingual gyrus (p < 0.001, cluster-corrected pFDR = 0.025, k = 42) and significantly higher activity in the medial prefrontal cortex (p < 0.001, cluster-corrected pFDR = 0.03, k = 45).

CONCLUSIONS

Post-stroke fatigue is associated with posterior hypoactivity and prefrontal hyperactivity reflecting dysfunction within large-scale brain systems such as fronto-striatal-thalamic and frontal-occipital networks. These systems in turn might reflect a relationship between post-stroke fatigue and abnormalities in executive and visual functioning. This whole-brain resting-state study provides new targets for further investigation of post-stroke fatigue beyond the lesion approach.

Validity and reliability of the fatigue impact scale in stroke

BACKGROUND

Fatigue is one of the significant problems of post-stroke patients as it causes a decreased quality of life. Although the fatigue impact scale (FIS) is used in stroke, it lacks validation studies.

OBJECTIVE

This study evaluates the psychometric properties of the FIS in patients with stroke.

SUBJECTS AND METHODS

A total of 41 subjects with stroke and 41 control subjects admitted to Physical Medicine and Rehabilitation Department were included. Convergent validity was assessed using the SF-36 vitality (SF-36 v) scale and the fatigue severity scale (FSS). Divergent validity was assessed using the Hospital Anxiety and Depression Scale (HADS).

RESULTS

All subscores of the FIS were significantly higher in the stroke group than in the control group (p < .05). FIS showed excellent internal consistency in stroke patients (Cronbach's alpha = 0.946). There was a negative correlation among FIS and SF-36 v (r = -0.506, p = .001), and a positive correlation between the HADS anxiety score (r = 0.356, p = .026) and the HADS depression score (r = 0.293, p = .071). FIS total scores were weakly correlated with the FSS (r = 0.323, p = 0.039). The test-retest reliability of FIS was good in terms of its cognitive, physical, and psychosocial subscales and total scores, with ICC values of 0.78, 0.73, 0.80, and 0.83, respectively.

CONCLUSION

FIS is a valid and reliable multidimensional scale that sensitively discriminated fatigue in the stroke patients from that in the control subjects.

Obesity and Poststroke Fatigue: A 2-Year Longitudinal Study

Introduction

Obesity is associated with fatigue in many diseases, but the correlation between obesity and poststroke fatigue (PSF) is unclear. The study aimed to investigate the relationship between body mass index (BMI) and the occurrence of and recovery from PSF.

Methods

Within 3 days of the onset of ischemic stroke, patients were consecutively recruited. We assessed PSF at admission and at 6, 12, and 24 months with the Fatigue Severity Scale (FSS). Multivariable logistic regression and restricted cubic spline function were used to explore the relationships between baseline BMI and the risk of PSF at different time points. The correlation between baseline BMI and the dynamic changes in the natural logarithm transformation of the FSS (lnFSS) score during the follow-up period was analyzed by the piecewise linear mixed-effects model.

Results

A total of 1026 stroke patients were included. Multivariable analyses indicated that obesity was associated with a decreased risk of early PSF (fatigue diagnosed at baseline) [odds ratio (OR) 0.61, 95% confidence interval (CI) 0.41–0.93] but an increased risk of late PSF (fatigue diagnosed 6 months after the index stroke) (OR 1.63, 95% CI 1.06–2.50 for 6 months; OR 1.87, 95% CI 1.18–2.96 for 12 months; OR 2.11, 95% CI 1.28–3.49 for 24 months). Longitudinal analyses indicated that in the late stage of fatigue, the higher the BMI category, the slower the rate of decrease was for the FSS score.

Conclusion

Obese patients are less likely to develop fatigue in the acute stage of ischemic stroke. However, they are more prone to late fatigue and exhibit a slower decline in the FSS score in the long term.

Supplementary Information

The online version contains supplementary material available at 10.1007/s40120-021-00276-x.

Post-stroke fatigue: A factor associated with inability to return to work in patients <60 years-A 1-year follow-up

This study investigated the association between post-stroke fatigue and inability to return to work/drive in young patients aged <60 years with first stroke who were employed prior to infarct while controlling for stroke severity, age, extent of disability, cognitive function, and depression. The Fatigue Severity Scale (FSS) was used to evaluate post-stroke fatigue in this 1-year prospective cohort study. Follow-ups were completed at 3, 6, and 12 months post rehabilitation discharge. A total of 112 patients were recruited, 7 were excluded, due to loss to follow-up (n = 6) and being palliative (n = 1), resulting in 105 participants (71% male, average age 49 ±10.63 years). Stroke patients receiving both inpatient and outpatient rehabilitation were consecutively recruited. Persistent fatigue remained associated with inability to return to work when controlling for other factors at 3 months (adjusted OR = 18, 95% CI: 2.9, 110.3, p = 0.002), 6 months (adjusted OR = 29.81, 95% CI: 1.7, 532.8, p = 0.021), and 12 months (adjusted OR = 31.6, 95% CI: 1.8, 545.0, p = 0.018). No association was found between persistent fatigue and return to driving. Fatigue at admission was associated with inability to return to work at 3 months but not return to drive. Persistent fatigue was found to be associated with inability to resume work but not driving. It may be beneficial to routinely screen post-stroke fatigue in rehabilitation and educate stroke survivors and employers on the impacts of post-stroke fatigue on return to work.

Sleep disturbance predicts future health status after stroke

STUDY OBJECTIVES

We evaluated factors associated with the presence of sleep disturbance in patients with stroke and whether sleep disturbance predicted change in other patient-reported domains of health over time.

METHODS

Observational cohort study of 2,190 patients with stroke seen in a cerebrovascular clinic February 17, 2015 to July 5, 2017 who completed patient-reported outcome measures (PROMs) at ≥ 1 visit, including the Patient Health Questionnaire-9 depression screen, Quality of Life in Neurological Disorders (NeuroQoL) cognitive function and Patient-Reported Outcomes Information Measurement System (PROMIS) sleep disturbance, fatigue, anxiety, social role satisfaction, physical function, and pain interference. Separate multivariable models were constructed with PROMIS sleep disturbance as the dependent variable. Covariates included clinical and demographic variables, the Patient Health Questionnaire-9 depression screen scored on the PROMIS metric, and 1 of the 6 other PROMs. Among the 476 patients with ≥ 2 visits, linear regression models were constructed to determine the association of baseline sleep disturbance with follow-up PROMs after adjustment for the corresponding baseline PROMIS/NeuroQol scores, depression score, and clinical variables.

RESULTS

Younger age and all PROM scores were associated with sleep disturbance; depression had the greatest association among PROMs (beta estimate 0.53, 95% confidence interval, 0.49, 0.57), physical function had the least (-0.06, 95% confidence interval, -0.11, -0.01). Baseline PROMIS sleep disturbance score was associated with worse adjusted follow-up scores for depression, fatigue, social role satisfaction, and physical function.

CONCLUSIONS

Younger age and all 8 PROMs were associated with sleep disturbance in patients with stroke. The degree of sleep disturbance predicted future patient-reported outcomes for multiple domains of health. Further study is warranted to determine if interventions shown to improve sleep symptoms will also improve other outcomes.

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.

Contribution of sleep quality to fatigue following a stroke: a cross-sectional study

BACKGROUND

The prevalence of fatigue and sleep disturbances is high in stroke populations. Sleep quality can be targeted by interventions to alleviate fatigue following a stroke. This study aimed to determine the prevalence of fatigue and poor sleep quality, and to quantify the contribution of sleep quality to fatigue following a stroke, in chronic (≥1 year) stroke survivors.

METHODS

A cross-sectional design was adopted. A total of 112 stroke survivors (mean age ± standard deviation [year], 64.18 ± 5.77) at 6.08 ± 4.80 years post-stroke completed this study. All participants were assessed using the Fatigue Assessment Scale, the Pittsburgh Sleep Quality Index, the Visual Analogue Scale-Pain, the Fugl-Meyer Assessment of the upper and lower extremities, the 5-Time Sit-To-Stand Test, the Epworth Sleepiness Scale, the Frenchay Activities Index, the Life-Space Assessment, the Community Integration Measure, and the Multidimensional Scale of Perceived Social Support. Pearson and partial correlation coefficients were used to examine the correlation between fatigue and other variables. A multiple linear regression (the forced entry method) was performed to quantify the independent contribution of sleep quality to prediction of fatigue.

RESULTS

Of the 112 participants, 52.7% reported experiencing fatigue and 64.3% reported poor sleep quality. Sleep quality could independently account for 5.9% of the variance in fatigue scores after a stroke.

CONCLUSIONS

There is a high prevalence of fatigue and poor sleep quality in Chinese stroke survivors. Sleep quality is an independent predictor of fatigue in those living in the community who have survived a stroke for a year or longer.

Structural brain disconnectivity mapping of post-stroke fatigue

•

We tested for associations between post stroke fatigue (PSF) and both lesion characteristics and brain structural disconnectome in 84 S patients.

•

Results provided no evidence supporting a simple association between PSF severity and lesion characteristics or disconnectivity.

•

PSF was strongly correlated with depression.

•

Further studies including patients with more severe symptoms are needed to generalize the findings across a wider clinical spectrum.

Stroke patients commonly suffer from post stroke fatigue (PSF). Despite a general consensus that brain perturbations constitute a precipitating event in the multifactorial etiology of PSF, the specific predictive value of conventional lesion characteristics such as size and localization remains unclear. The current study represents a novel approach to assess the neural correlates of PSF in chronic stroke patients. While previous research has focused primarily on lesion location or size, with mixed or inconclusive results, we targeted the extended structural network implicated by the lesion, and evaluated the added explanatory value of a structural disconnectivity approach with regards to the brain correlates of PSF. To this end, we estimated individual structural brain disconnectome maps in 84 S survivors in the chronic phase (≥3 months post stroke) using information about lesion location and normative white matter pathways obtained from 170 healthy individuals. PSF was measured by the Fatigue Severity Scale (FSS). Voxel wise analyses using non-parametric permutation-based inference were conducted on disconnectome maps to estimate regional effects of disconnectivity. Associations between PSF and global disconnectivity and clinical lesion characteristics were tested by linear models, and we estimated Bayes factor to quantify the evidence for the null and alternative hypotheses, respectively. The results revealed no significant associations between PSF and disconnectome measures or lesion characteristics, with moderate evidence in favor of the null hypothesis. These results suggest that symptoms of post-stroke fatigue among chronic stroke patients are not simply explained by lesion characteristics or the extent and distribution of structural brain disconnectome, and are discussed in light of methodological considerations.

Testing the psychometric properties of the Chinese version of the Neurological Fatigue Index-Stroke

OBJECTIVE

To test the psychometric properties of a Chinese version of the Neurological Fatigue Index-Stroke (C-NFI-Stroke) in stroke survivors.

DESIGN

This was a validation study. Cross-cultural adaptation of the scale was conducted according to standard guidelines. Reliability, validity, responsiveness, and interpretability were measured.

SETTING

Self-help groups and a community center.

SUBJECTS

One hundred and twelve Chinese stroke survivors and 65 healthy Chinese older people living in the community.

INTERVENTIONS

Not applicable.

MAIN MEASURES

The C-NFI-Stroke, Fatigue Severity Scale, Mental Fatigue Scale, General Self-Efficacy Scale, and Geriatric Depression Scale were used.

RESULTS

Cronbach's α coefficients were 0.69-0.88; the item-level agreement was 70.4%-88.9%; the weighted Kappa value was 0.47-0.79; and the intra-class correlation coefficients were 0.88-0.93. The C-NFI-Stroke had no ceiling and floor effects. It had good content validity and had two factors, "lack of energy" and "tiredness/weakness." The confirmatory factor analysis showed a good fit to the model. The C-NFI-Stroke significantly correlated with existing fatigue scales (r_s = 0.55-0.63), self-efficacy (r_s = -0.31 to -0.37), and depressive symptoms (r_s = 0.53-0.60). The C-NFI-Stroke could discern differences between stroke survivors and healthy older people.

CONCLUSIONS

The C-NFI-Stroke is a reliable and valid tool for clinical and research use on people who have been diagnosed with stroke for a year or more, although its factor structure differs from that of the original English version.

Illness Representation and Self-Efficacy: An Exploration of Fatigue Factors in Middle-Aged Stroke Survivors

The purpose of this study is twofold: to examine the relationship between illness representation and self-efficacy and to test the determinants and the effect of self-efficacy, resilience, and stroke impact on fatigue in middle-aged stroke survivors. This study used a cross-sectional and quantitative approach. The instruments included the Chronic Disease Self-Efficacy Scale, Stroke Impact Scale, Resilience Scale, and Fatigue Impact Scale. Structural equation modeling (SEM) was performed to analyze the data. A total of 63 patients with stroke (39 male and 24 female) were recruited form a medical university hospital. The results showed that patients' illness representation had a significantly effect on self-efficacy for managing disease. In addition, SEM analysis demonstrated that self-efficacy, resilience and stroke impact influenced fatigue, explaining 20.6% of the variance in fatigue. It was concluded that to improve patient fatigue, we believe it is imperative to design interventions that improve patients' self-efficacy, promote patients' resilience, and better function.

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

Post-stroke fatigue (PSF) is a common symptom associated with disability and decreased quality of life. Distinction can be made between perceived fatigue and fatigability. The first aim of this study was to evaluate the prevalence of perceived fatigue and fatigability amongst patients with chronic stroke and to explore how these two parameters relate. The second aim was to study the relationship between modifiable factors (sleep disorders, anxiety, depression and activities of daily living) and fatigue in this population. Sixty-two patients with chronic stroke (> 6 months) were included. Perceived fatigue was evaluated using the Fatigue Severity Scale (FSS). Motor fatigability was assessed with the percent change in meters walked from first to last minute of the 6-min Walk Test and an isometric muscular fatigability test. Subjects also completed self-report questionnaires assessing anxiety and depression (Hospital Anxiety and Depression Scale-HADS), sleep quality (Pittsburgh Sleep Quality Index-PSQI) and activity limitations (ACTIVLIM-stroke). Seventy-one percent of participants presented PSF. There was no correlation between the FSS and motor fatigability. FSS significantly correlated with HADS-Anxiety (ρ = 0.53, P < 0.001), HADS-depression (ρ = 0.63, P < 0.001), PSQI (ρ = 0.51, P < 0.001) and ACTIVLIM (ρ = - 0.30, P < 0.05). A linear regression model showed that the HADS-Depression, the PSQI and the ACTIVLIM explained 46% of the variance of the FSS. A high proportion of chronic stroke patients presents PSF, with no relation between their fatigue and fatigability. Perceived fatigue is associated with potentially modifiable factors: anxious and depressive symptoms, poor sleep quality and activity limitations. Registered at ClinicalTrials.gov (NCT04277234) (21/02/2019).

Prediction of Balance After Inpatient Rehabilitation in Stroke Subjects with Severe Balance Alterations at the Admission

BACKGROUND

Patients with severe motor alterations would be those on who the prediction of the expected motor response after inpatient rehabilitation programs is most required.

OBJECTIVES

To analyze if the balance progress measured by the Berg Balance Scale and the time of hospitalization could be independent predictors of the Berg Balance at the end of a post stroke rehabilitation program in patients with severe balance alteration at the admission. Secondly, to compare a Berg Balance prediction model at the time of discharge based on the Berg Balance at the time of admission (model 1) to a Berg Balance prediction model at the time of discharge based on Berg Balance progress and the time of hospitalization (model 2).

METHODS

Subjects suffering a first subacute supratentorial stroke admitted for inpatient rehabilitation between 2010 through 2018 were included to develop two linear regression models of predicted Berg Balance at discharge (n=149).

RESULTS

According to model 1 (p < 0.0001, R²= 0.166), the Berg Balance at the admission would be a predictor of the Berg Balance at discharge from hospitalization. According to model 2 (p < 0.0001, R²= 0.993) the Berg Balance progress (β= 1.026; p < 0.0001) and the hospitalization time (β=-0.006; p < 0.0001) would be independent predictors of the Berg Balance at discharge.

CONCLUSIONS

The motor response to the rehabilitation programs in subacute patients with severe motor alterations could be explained on the basis of balance condition at the admission, but this explanation may be improved considering the progress on the balance the patients achieve during inpatient rehabilitation irrespective the time of hospitalization.

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.

Ecological Momentary Assessment of Social Interactions: Associations With Depression, Anxiety, Pain, and Fatigue in Individuals With Mild Stroke

OBJECTIVES

To examine real-time relationships between social interactions and poststroke mood and somatic symptoms in participants' daily environments.

DESIGN

Prospective observational study using smartphone-based ecological momentary assessment (EMA) surveys 5 times a day for 2 weeks. Multilevel models were used to analyze data for concurrent and lagged associations.

SETTING

Community.

PARTICIPANTS

Adults (N=48) with mild stroke.

INTERVENTIONS

Not applicable.

MAIN OUTCOME MEASURES

EMA measures of self-appraisal of social interactions (confidence, satisfaction, and success), as well as mood (depression and anxiety) and somatic (pain and fatigue) symptoms.

RESULTS

In concurrent associations, increased depressed mood was associated with reduced ratings of all aspects of social interactions. Fatigue was associated with reduced ratings of social satisfaction and success. In lagged associations, increased anxious mood preceded increased subsequent social confidence. Higher average social satisfaction, confidence, and success were related to lower momentary fatigue, anxious mood, and depressed mood at the next time point. Regarding clinicodemographic factors, being employed was concurrently related to increased social interactions. An increased number of comorbidities predicted higher somatic, but not mood, symptoms at the next time point.

CONCLUSIONS

This study provides preliminary evidence of dynamic relationships between social interactions and somatic and mood symptoms in individuals with mild stroke. Interventions to not only address the sequelae of symptoms, but also to promote participation in social activities in poststroke life should be explored.

Related risk factors associated with post-stroke fatigue: a systematic review and meta-analysis

BACKGROUND

Post-stroke fatigue (PSF) is one of the most common complications of stroke and has a negative impact on quality of life over time. Although several therapeutic approaches have been explored in the last decade, the risk factors responsible for the occurrence of PSF are still largely unknown.

OBJECTIVE

The aim of this meta-analysis was to identify the risk factors contributing to PSF, especially clinical and social risk factors, which may help to prevent PSF.

METHODS

A systematic literature search was performed with PubMed, EMBASE, Cochrane Library, and Web of Science databases from inception until April 2019. Only original studies measuring the association between potential risk factors and PSF were included. All relevant data the included studies were extracted by two independent reviewers using predefined data fields.

RESULTS

Fourteen studies (n = 3933) were included in this meta-analysis. Female (OR = 1.39; p < 0.01), thalamus (OR = 1.76; p = 0.02), leucoaraiosis (OR = 1.73; p < 0.01), NIHSS score (OR = 1.16; p < 0.01), modified Rankin Scale (OR = 1.63; p < 0.01), depression (OR = 1.75; p < 0.01), and sleeping disturbances (OR = 2.01; p < 0.01) were all significantly associated with PSF. In the subgroup analysis, depression (OR = 2.75; p < 0.01) tended to be associated with Asian patients with PSF. For patients who had a stroke survive for more than half a year, PSF was more likely to occur in stroke survivors with depression (OR = 1.46; p < 0.01), anxiety (OR = 1.13; p < 0.01), or sleeping disturbances (OR = 1.98; p < 0.01).

CONCLUSION

Despite some limitations, this study first identified that female and depression conferred an increased susceptibility to PSF, regardless of whether in European or Asian populations. Risk factors associated with PSF included female, thalamic, leucoaraiosis, depression, sleeping disturbances, diabetes mellitus, and anxiety. This meta-analysis shows that chronic PSF appears to be largely attributable to patients with multiple comorbidities. It is necessary to strengthen the treatment for stroke-related complications and improve stroke patient care, which could help to reduce the incidence of PSF.

TRIAL REGISTRATION

CRD42019128751.

Elevated plasma high-sensitivity C-reactive protein at admission predicts the occurrence of post-stroke fatigue at 6 months after ischaemic stroke

BACKGROUND AND PURPOSE

Post-stroke fatigue (PSF) is a common neuropsychiatric affective symptom occurring after stroke. Evidence indicates activated inflammatory pathways are involved in modulating the stroke and fatigue. High-sensitivity C-reactive protein (hs-CRP) is one of the most sensitive indicators of inflammation. Our aim was to estimate the association between plasma hs-CRP and PSF after acute ischaemic stroke.

METHODS

In all, 212 acute ischaemic stroke patients were consecutively recruited within the first 14 days after stroke onset and followed up for 6 months. Plasma hs-CRP levels were assayed by enzyme linked immunosorbent assay. Fatigue severity was assessed using the Fatigue Scale for Motor and Cognitive Functions. A score ≥ 43 is defined as PSF.

RESULTS

Sixty-eight stroke patients (32.1%) were diagnosed with PSF at 6 months' follow-up. In the patients with PSF, plasma hs-CRP levels were significantly higher compared with those in non-PSF patients (t = -8.524, P ≤ 0.001). In multivariate analyses, plasma levels of hs-CRP were independently associated with PSF at 6 months (odds ratio 3.435, 95% confidence interval 2.222-5.309; P ≤ 0.001) after adjusting other recorded variables. Based on the receiver operating characteristic curve, the optimal cut-off value of plasma hs-CRP levels as an indicator for the prediction of PSF was projected to be 0.52 mg/dl, which yielded a sensitivity of 77.9% and a specificity of 74.3%, with the area under the curve 0.794 (95% confidence interval 0.725-0.864; P ≤ 0.001).

CONCLUSION

Elevated plasma hs-CRP levels at admission were associated with PSF 6 months after stroke, suggesting that these alterations might predict the development of PSF in stroke patients.

Study protocol for POSITIF, a randomised multicentre feasibility trial of a brief cognitive-behavioural intervention plus information versus information alone for the treatment of post-stroke fatigue

BACKGROUND

Approximately, half of stroke survivors experience fatigue. Fatigue may persist for many months and interferes with participation in everyday activities and has a negative impact on social and family relationships, return to work, and quality of life. Fatigue is among the top 10 priorities for 'Life after Stroke' research for stroke survivors, carers, and clinicians. We previously developed and tested in a small uncontrolled pilot study a manualised, clinical psychologist-delivered, face-to-face intervention, informed by cognitive behavioural therapy (CBT). We then adapted it for delivery by trained therapists via telephone. We now aim to test the feasibility of this approach in a parallel group, randomised controlled feasibility trial (Post Stroke Intervention Trial In Fatigue, POSITIF).

METHODS/DESIGN

POSITIF aims to recruit 75 stroke survivors between 3 months and 2 years post-stroke who would like treatment for their fatigue. Eligible consenting stroke survivors will be randomised to either a 7-session manualised telephone-delivered intervention based on CBT principles plus information about fatigue, or information only. The aims of the intervention are to (i) provide an explanation for post-stroke fatigue, in particular that it is potentially reversible (an educational approach), (ii) encourage participants to overcome the fear of taking physical activity and challenge negative thinking (a cognitive approach) and (iii) promote a balance between daily activities, rest and sleep and then gradually increase levels of physical activity (a behavioural approach). Fatigue, mood, quality of life, return to work and putative mediators will be assessed at baseline (just before randomisation), at the end of treatment and 6 months after randomisation. POSITIF will determine the feasibility of recruitment, adherence to the intervention and the resources required to deliver the intervention in a larger trial.

DISCUSSION

The POSITIF feasibility trial will recruit until 31 January 2020. Data will inform the utility and design of a future adequately powered randomised controlled trial.

TRIAL REGISTRATION

ClinicalTrials.gov, NCT03551327. Registered on 11 June 2018.

An extended stroke rehabilitation service for people who have had a stroke: the EXTRAS RCT

BACKGROUND

There is limited evidence about the effectiveness of rehabilitation in meeting the longer-term needs of stroke patients and their carers.

OBJECTIVE

To determine the clinical effectiveness and cost-effectiveness of an extended stroke rehabilitation service (EXTRAS).

DESIGN

A pragmatic, observer-blind, parallel-group, multicentre randomised controlled trial with embedded health economic and process evaluations. Participants were randomised (1 : 1) to receive EXTRAS or usual care.

SETTING

Nineteen NHS study centres.

PARTICIPANTS

Patients with a new stroke who received early supported discharge and their informal carers.

INTERVENTIONS

Five EXTRAS reviews provided by an early supported discharge team member between 1 and 18 months post early supported discharge, usually over the telephone. Reviewers assessed rehabilitation needs, with goal-setting and action-planning. Control treatment was usual care post early supported discharge.

MAIN OUTCOME MEASURES

The primary outcome was performance in extended activities of daily living (Nottingham Extended Activities of Daily Living Scale) at 24 months post randomisation. Secondary outcomes at 12 and 24 months included patient mood (Hospital Anxiety and Depression Scale), health status (Oxford Handicap Scale), experience of services and adverse events. For carers, secondary outcomes included carers' strain (Caregiver Strain Index) and experience of services. Cost-effectiveness was estimated using resource utilisation costs (adaptation of the Client Service Receipt Inventory) and quality-adjusted life-years.

RESULTS

A total of 573 patients (EXTRAS, n = 285; usual care, n = 288) with 194 carers (EXTRAS, n = 103; usual care, n = 91) were randomised. Mean 24-month Nottingham Extended Activities of Daily Living Scale scores were 40.0 (standard deviation 18.1) for EXTRAS (n = 219) and 37.2 (standard deviation 18.5) for usual care (n = 231), giving an adjusted mean difference of 1.8 (95% confidence interval -0.7 to 4.2). The mean intervention group Hospital Anxiety and Depression Scale scores were not significantly different at 12 and 24 months. The intervention did not improve patient health status or carer strain. EXTRAS patients and carers reported greater satisfaction with some aspects of care. The mean cost of resource utilisation was lower in the intervention group: -£311 (95% confidence interval -£3292 to £2787), with a 68% chance of EXTRAS being cost-saving. EXTRAS was associated with 0.07 (95% confidence interval 0.01 to 0.12) additional quality-adjusted life-years. At current conventional thresholds of willingness to pay for a quality-adjusted life-year, there is a 90% chance that EXTRAS is cost-effective.

CONCLUSIONS

EXTRAS did not improve stroke survivors' performance in extended activities of daily living but did improve their overall satisfaction with services. Given the impact on costs and quality-adjusted life-years, there is a high chance that EXTRAS could be considered cost-effective.

FUTURE WORK

Further research is required to identify whether or not community-based interventions can improve performance of extended activities of daily living, and to understand the improvements in health-related quality of life and costs seen by provision of intermittent longer-term specialist review.

TRIAL REGISTRATION

Current Controlled Trials ISRCTN45203373.

FUNDING

This project was funded by the National Institute for Health Research (NIHR) Health Technology Assessment programme and will be published in full in Health Technology Assessment; Vol. 24, No. 24. See the NIHR Journals Library website for further project information.

Stroke-Specific Quality of Life one-year post-stroke in two Scandinavian country-regions with different organisation of rehabilitation services: a prospective study

Purpose: To compare stroke-specific health related quality of life in two country-regions with organisational differences in subacute rehabilitation services, and to reveal whether organisational factors or individual factors impact outcome.Materials and methods: A prospective multicentre study with one-year follow-up of 369 first-ever stroke survivors with ischaemic or haemorrhagic stroke, recruited from stroke units in North Norway (n = 208) and Central Denmark (n = 161). The 12-domain Stroke-Specific Quality of Life scale was the primary outcome-measure.Results: The Norwegian participants were older than the Danish (M_age= 69.8 vs. 66.7 years, respectively), had higher initial stroke severity, and longer stroke unit stays. Both cohorts reported more problems with cognitive, social, and emotional functioning compared to physical functioning. Two scale components were revealed. Between-country differences in the cognitive-social-mental component showed slightly better function in the Norwegian participants. Depression, anxiety, pre-stroke dependency, initial stroke severity, and older age were substantially associated to scale scores.Conclusions: Successful improvements in one-year functioning in both country-regions may result from optimising long-term rehabilitation services to address cognitive, emotional, and social functioning. Stroke-Specific Quality of Life one-year post-stroke could be explained by individual factors, such as pre-stroke dependency and mental health, rather than differences in the organisation of subacute rehabilitation services.IMPLICATIONS FOR REHABILITATIONThe stroke-specific health related quality of life (SS-QOL) assessment tool captures multidimensional effects of a stroke from the perspective of the patient, which is clinically important information for the rehabilitation services.The cognitive-social-mental component and the physical health component, indicate specific functional problems which may vary across and within countries and regions with different organisation of rehabilitation services.For persons with mild to moderate stroke, longer-term functional improvements may be better optimised if the rehabilitation services particularly address cognitive, emotional, and social functioning.