Prevalence of fatigue in patients 3 months after stroke and association with early motor activity: a prospective study comparing stroke patients with a matched general population cohort

The relationship between levels of physical activity and participation in everyday life in stroke survivors: A systematic review and meta-analysis

BACKGROUND

Stroke survivors demonstrate decreased physical activity (PA) and take time to return to participation in everyday life, but the relationship between the two variables is unknown.

OBJECTIVE

To investigate the correlation and trajectory over time between levels of PA and participation in everyday life in stroke survivors.

METHODS

PubMed, Web of Science, Scopus, SPORTDiscus, Rehabilitation&Sport Medicine Source, and PEDro databases were searched from inception to January 2024. Cross-sectional and prospective studies evaluating both levels of PA and participation in stroke survivors were included. Two reviewers independently conducted the study selection, data extraction, and quality assessment. Meta-analyses of pooled correlation coefficients were calculated when at least two studies reported a correlation coefficient between the same PA and participation outcomes.

RESULTS

Of 4962 studies identified, 49 were included in the systematic review. Studies were rated high (55%%) or fair (45%) quality. A wide range of monitoring methodologies for assessing PA and participation were found in the 23 prospective studies. Seven studies were included in the meta-analyses, showing a positive moderate correlation between PA time and participation in activities of daily living (n = 148; r = 0.52; P < 0.01; I2 = 81%) in participants <6 months post-stroke, and between PA time and the participation in all areas (n = 126; r = 0.44; P < 0.01; I2 = 0%) in participants ≥6 months post-stroke. Overall, while PA showed significant improvements over time, participation only showed a tendency.

CONCLUSIONS

Despite the heterogeneity, consistent positive associations were found between PA time and participation levels in some areas. Establishing consensus is crucial to reduce heterogeneity and facilitate data pooling.

Lesioned hemisphere-specific phenotypes of post-stroke fatigue emerge from motor and mood characteristics in chronic stroke

BACKGROUND AND PURPOSE

Post-stroke fatigue commonly presents alongside several comorbidities. The interaction between comorbidities and their relationship to fatigue is not known. In this study, we focus on physical and mood comorbidities, alongside lesion characteristics. We predict the emergence of distinct fatigue phenotypes with distinguishable physical and mood characteristics.

METHODS

In this cross-sectional observational study, in 94 first time, non-depressed, moderate to minimally impaired chronic stroke survivors, the relationship between measures of motor function (grip strength, nine-hole peg test time), motor cortical excitability (resting motor threshold), Hospital Anxiety and Depression Scale and Fatigue Severity Scale-7 (FSS-7) scores, age, gender and side of stroke was established using Spearman's rank correlation. Mood and motor variables were then entered into a k-means clustering algorithm to identify the number of unique clusters, if any. Post hoc pairwise comparisons followed by corrections for multiple comparisons were performed to characterize differences among clusters in the variables included in k-means clustering.

RESULTS

Clustering analysis revealed a four-cluster model to be the best model (average silhouette score of 0.311). There was no significant difference in FSS-7 scores among the four high-fatigue clusters. Two clusters consisted of only left-hemisphere strokes, and the remaining two were exclusively right-hemisphere strokes. Factors that differentiated hemisphere-specific clusters were the level of depressive symptoms and anxiety. Motor characteristics distinguished the low-depressive left-hemisphere from the right-hemisphere clusters.

CONCLUSION

The significant differences in side of stroke and the differential relationship between mood and motor function in the four clusters reveal the heterogenous nature of post-stroke fatigue, which is amenable to categorization. Such categorization is critical to an understanding of the interactions between post-stroke fatigue and its presenting comorbid deficits, with significant implications for the development of context-/category-specific interventions.

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

BACKGROUND

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

AIMS

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

SUMMARY OF REVIEW

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

CONCLUSIONS

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

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

ABSTRACT

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

Is Cardiorespiratory Fitness Independently Associated with Fatigue in Patients with Transient Ischemic Attack or Minor Stroke?

Fatigue is a common complaint and a disabling symptom among patients following transient ischemic attack (TIA) or minor stroke. In patients with stroke, decreased cardiorespiratory fitness (CRF) is believed to be related to increased severity of post-stroke fatigue (PSF). However, this association between PSF and CRF in patients with TIA or minor stroke has been less investigated, and currently there is no proven treatment for PSF. We aimed to determine the association between PSF and CRF in patients with TIA or minor stroke and to find out whether this association was distorted by confounders. A cross-sectional association study was conducted among a total of 119 patients with TIA or minor stroke. PSF was measured by the Fatigue Severity Scale (FSS) and CRF was quantified by maximal exercise capacity (V̇O2max). The FSS showed a significant association with V̇O2max (ß = −0.061, SE: 0.022; p = 0.007). This association was confounded by anxiety (ß = −0.044, SE: 0.020; p = 0.028) and depression (ß = −0.030, SE: 0.022; p = 0.177) as measured by the subscales of the Hospital Anxiety and Depression Scale (HADS). After controlling for HADS scores on depression and anxiety, the univariate relationship between V̇O2max and FSS was no longer significant. These results suggest that the association between PSF and CRF in patients with TIA or minor stroke is weak and significantly confounded by the factors of depression and anxiety.

Length of Stay, Hospital Costs and Mortality Associated With Comorbidity According to the Charlson Comorbidity Index in Immobile Patients After Ischemic Stroke in China: A National Study

BACKGROUND

In this study, we examined the length of stay (LoS)-predictive comorbidities, hospital costs-predictive comorbidities, and mortality-predictive comorbidities in immobile ischemic stroke (IS) patients; second, we used the Charlson Comorbidity Index (CCI) to assess the association between comorbidity and the LoS and hospitalization costs of stroke; third, we assessed the magnitude of excess IS mortality related to comorbidities.

METHODS

Between November 2015 and July 2017, 5114 patients hospitalized for IS in 25 general hospitals from six provinces in eastern, western, and central China were evaluated. LoS was the period from the date of admission to the date of discharge or date of death. Costs were collected from the hospital information system (HIS) after the enrolled patients were discharged or died in hospital. The HIS belongs to the hospital's financial system, which records all the expenses of the patient during the hospital stay. Cause of death was recorded in the HIS for 90 days after admission regardless of whether death occurred before or after discharge. Using the CCI, a comorbidity index was categorized as zero, one, two, and three or more CCI diseases. A generalized linear model with a gamma distribution and a log link was used to assess the association of LoS and hospital costs with the comorbidity index. Kaplan-Meier survival curves was used to examine overall survival rates.

RESULTS

We found that 55.2% of IS patients had a comorbidity. Prevalence of peripheral vascular disease (21.7%) and diabetes without end-organ damage (18.8%) were the major comorbidities. A high CCI=3+ score was an effective predictor of a high risk of longer LoS and death compared with a low CCI score; and CCI=2 score and CCI=3+ score were efficient predictors of a high risk of elevated hospital costs. Specifically, the most notable LoS-specific comorbidities, and cost-specific comorbidities was dementia, while the most notable mortality-specific comorbidities was moderate or severe renal disease.

CONCLUSION

CCI has significant predictive value for clinical outcomes in IS. Due to population aging, the CCI should be used to identify, monitor and manage chronic comorbidities among immobile IS populations.

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.

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.

Resilience and Its Association With Activities of Daily Living 3 Months After Stroke

Independence in basic activities of daily living (ADL) is an important outcome after stroke. Identifying factors associated with independence can contribute to improve post-stroke rehabilitation. Resilience, which is the ability of coping with a serious event, might be such a factor. Still, the impact of resilience and its role in rehabilitation after stroke is poorly investigated. Hence, the purpose of this study was to assess whether resilience assessed early after stroke can be associated with independence in basic ADL 3 months later. Hospitalized patients with a diagnosed acute stroke and a modified Rankin Scale score ≤ 4 were included. Bivariate and multivariate linear regression were applied to assess whether resilience as measured by the Brief Resilience Scale within the first 2 weeks after stroke was associated with basic ADL measured by Barthel Index at 3-month follow-up. Age, sex, fatigue, stroke severity at admission and pre-stroke disability were added as covariates. Sixty-four participants (35 (54.7%) male), aged 75.9 (SD 8.6) years were included 4.3 (SD 2.8) days after stroke. There was no significant change in resilience from baseline 3.1 (SD 0.3) to 3 months later 3.2 (SD 0.5). Resilience was not associated with basic ADL in neither the bivariate (b = 2.01, 95% CI −5.21, 9.23, p = 0.580) nor in the multivariate regression models (b = 0.50, 95% CI −4.87, 6.88, p = 0.853). Our results showed that resilience remained stable during follow-up. Early measurement of resilience was not associated with independence in basic activities of daily living 3 months after stroke. These results, indicate that resilience is a personal trait not associated with the outcome of physical adversity. However, future research should investigate whether resilience is related to the outcomes of psychosocial adversity after a stroke.

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

Background and Purpose

Post-stroke fatigue is a debilitating and long-lasting condition. However, there are uncertainties regarding its prevalence and variability between studies. This review aims to estimate the prevalence of fatigue and determine the factors responsible for its variation in the literature.

Methods

A systematic review was conducted for all published studies (search to November 2020) using AMED, CINAHL, EMBASE, MEDLINE, PsycINFO, SCOPUS and Web of Science. Papers were included if they recruited participants with stroke, used a validated scale to measure fatigue and were in English. Two reviewers screened and assessed the relevant studies for eligibility (n = 96). The included papers were appraised using the Joanna Briggs Institute (JBI) tool for prevalence studies, and data were extracted by one reviewer. To understand the variation in PSF prevalence between papers, data were pooled and analysed based on relevant methodological (e.g. time of assessment) or clinical factors (e.g. depression) using Review Manager 5.4 software.

Results

While 48 studies were included and summarised (N = 9004), only 35 were appropriate for the meta-analysis (N = 6851). The most frequently used tool to measure fatigue was the Fatigue Severity Scale (FSS) (n = 31). The prevalence was calculated with a cut-off point of four or more using FSS and resulted in an estimate of 48% (95% CI 42-53%). Time of assessment (<6 vs ≥6 months), stroke type (ischaemic vs haemorrhagic/subarachnoid haemorrhage) and geographical location (East Asia vs Europe) could explain the prevalence variation between studies.

Conclusions

Fatigue is prevalent among stroke survivors. This condition varies in terms of occurrence between studies; however, time of assessment, stroke type and geographical location might explain this variation. As this review estimates the overall burden of fatigue after stroke, it provides a useful indicator to inform policy, planning and healthcare professionals. Further efforts are required to investigate the mechanisms that lead to PSF, particularly in the groups that show high prevalence, in order to prevent or alleviate it.

An Analysis of Characteristics of Post-Stroke Fatigue in Patients without Depression: A Retrospective Chart Review

Post-stroke fatigue (PSF) is among the most common stroke sequelae and affects rehabilitation, resulting in poor recovery. A main influencing factor may be depression, which has been investigated with fatigue in several clinical trials. We aimed to evaluate the characteristics of fatigue in post-stroke patients without depression through a retrospective chart review. The medical records of stroke patients hospitalized in the Stroke and Brain Disease Center, Kyung Hee University Korean Medicine Hospital were reviewed. Stroke patients without depression were divided into a PSF group and control group (without fatigue). The demographic characteristics, type of stroke, medical history, laboratory examinations, clinical features, and pattern identification of each patient were recorded and compared between the study groups. The medical records of 216 patients were reviewed; 85 and 131 patients were assigned to the PSF and control group, respectively. Apolipoprotein A1 levels were significantly lower in the PSF than in the control group (105.6 ± 16.5 vs. 116.2 ± 21.8). We found a significantly higher occurrence of reversal cold of the extremities and a lower probability of fire-heat pattern in the PSF group than in the control group. This study suggests that apolipoprotein A1 levels are lower and cold manifestations are more common in PSF patients without depression than in those without fatigue.

Analysis of Factors Affecting Post-Stroke Fatigue: An Observational, Cross-Sectional, Retrospective Chart Review Study

Post-stroke fatigue (PSF) is one of the most common emotional and mood disorders in stroke survivors. Several studies have suggested associations between PSF and various factors. However, they describe conflicting results. Therefore, this study aimed to evaluate the factors affecting PSF. We retrospectively reviewed the medical records of 178 hospitalized stroke patients. The collected data were compared between the PSF and control groups. To evaluate the association between factors and PSF, regression analysis was conducted. A total of 96 patients (53.9%) were assigned to the PSF group, and 82 patients were assigned to the control group. Age, neurological deficits, cognitive dysfunction, degree of depression, hs-CRP, and ESR differed significantly between the two groups. For both types of stroke, multiple linear regression analyses showed that degree of depression and degree of inflammation were significantly associated with PSF. Through subgroup analysis, multiple linear regression analyses showed that the degree of depression in ischemic and hemorrhagic stroke and the platelet-to-lymphocyte ratio in hemorrhagic stroke had a significant association with PSF. In conclusion, post-stroke depression and degree of inflammation could be clinically significant predictors of PSF in all types of stroke patients. However, larger, prospective studies are required to obtain more concrete results.

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.

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.

Fatigue and activity after stroke. Secondary results from the Life After Stroke study

OBJECTIVES

The aim of this study was to describe how the prevalence of fatigue changed from the subacute phase to the chronic phase after stroke, and to investigate how activity was associated with fatigue among participants included in the randomized controlled multicentre-study Life After STroke (LAST).

METHODS

The present study represents secondary analysis based on data from the LAST study. One-hundred-and-forty-five patients with mild and moderate stroke (mean (SD) age: 71.5 (10.5) years, 57.2% males) recruited from St. Olav's University Hospital were included. Fatigue was assessed by the Fatigue Severity Scale (FSS-7) at inclusion, 3 months after stroke, and at follow-up 18 months later. activPAL was used to measure activity at follow-up.

RESULTS

A total of 46 (31.7%) participants reported fatigue at inclusion and 43 (29.7%) at follow-up (p = .736). In the univariable regression analysis, sedentary behaviour, walking and sedentary bouts were significantly associated with fatigue (p ≤ .015), whereas only time spent walking was significantly associated with fatigue in the multivariable regression analysis (p = .017).

CONCLUSIONS

The present study showed that fatigue is a common symptom after stroke and that the prevalence of fatigue remained unchanged from the subacute to the chronic phase. The study also showed that increased time spent walking was strongly related to lower fatigue, while no such associations were found between the other activity categories and fatigue.

The effects of a standardized nursing intervention model on immobile patients with stroke: a multicenter study in China

BACKGROUND

Immobility complications, including pressure injuries (PIs), deep vein thrombosis (DVT), pneumonia, and urinary tract infections (UTIs), affect the clinical outcomes of stroke patients. A standardized nursing intervention model (SNIM) was constructed and implemented to improve the quality of care and clinical outcomes among immobile patients with stroke.

AIMS

To assess the benefit of SNIM for immobility complication rates, including PIs, DVT, pneumonia, and UTIs, and mortalities in immobile patients with stroke.

METHODS

A before and after study design was used. Patients were divided into a pre- and post-SNIM training original cohort and matched for socioeconomic, demographic, and disease characteristics using propensity score. We fitted logistic regression models to examine the effect of SNIM, and whether the benefit differed between tertiary and non-tertiary hospitals.

RESULTS

In the original cohort, the rate of pneumonia, UTIs, and mortality was lower after SNIM training. Furthermore, in the matched cohort, the difference in PI rates was significant. Logistic regression analysis revealed that the probability of PIs, pneumonia, UTIs, and mortality were significantly reduced after SNIM training in the original cohort and this estimated value changed little in the matched cohort. Our results show that the decreased rates of pneumonia, UTIs, and mortality were mainly among non-tertiary hospitals.

CONCLUSIONS

A structured and systematic SNIM benefited immobile stroke patients' clinical outcomes, but mainly in non-tertiary hospitals in China. Standardized nursing training is needed in non-tertiary hospitals.

Lack of content overlap and essential dimensions - A review of measures used for post-stroke fatigue

INTRODUCTION

Post-stroke fatigue (PSF) is a highly prevalent and disabling condition. A major obstacle in PSF research is the lack of consensus on how to assess and diagnose fatigue after stroke. A wide variety of patient reported outcome measures (PROMs) are currently being used, none of which are developed specifically for stroke patients. The objectives of this study are to evaluate content validity in individual fatigue PROMs, and to identify similarities and differences through cross-comparison of PROMs.

METHODS

We used a novel mixed-methods approach to evaluate content validity in fatigue PROMs. First, we performed a qualitative content analysis of items in eleven fatigue PROMs used in stroke populations, and then we used descriptive statistics and a similarity coefficient to investigate similarities and differences across instruments.

RESULTS

The analysis of 156 items in eleven PROMs revealed 83 different items each representing a distinct attribute of fatigue. The results show that currently used fatigue PROMs omit important PSF-specific items, do not take into account the multidimensional nature of PSF and lack content overlap.

SUMMARY

The wide variety of items and lack of overlap between fatigue PROMs illuminates the need for researchers to report why a specific PROM was used. PROMs that capture the specific experiences of patients with PSF are also needed to advance research on PSF and its etiology and treatment.

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

BACKGROUND

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

SUMMARY

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

KEY MESSAGES

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

The Contribution of Vascular Risk Factors in Prevalence of Fatigue Four Years Following Stroke: Results from a Population-Based Study

BACKGROUND

Fatigue is a debilitating symptom after stroke, which may persist for many years. Survivors of stroke commonly have comorbid medical conditions such as hypertension and diabetes mellitus that may produce fatigue by themselves. The contribution of vascular and other risk factors on long-term poststroke fatigue (PSF) has not been sufficiently investigated at a population-based level.

METHODS

Adults (N = 256) with stroke, who consented into the Auckland Regional Stroke Outcomes Study (ARCOS-IV), completed assessments including the Fatigue Severity Scale (FFS) at 4 years poststroke. A mean score greater than 4 was indicative of fatigue. A multiple regression model identified baseline associations (reported as adjusted odds ratio [AOR] with 95% confidence intervals [CI]) with long-term fatigue.

RESULTS

Fatigue was present in 141 stroke survivors (55%) 4 years after stroke, with a mean FSS score of 5.2 ± 1.3. Having hypertension (AOR = 2.05, 95% CI: 1.05-3.99, P < .05), diabetes mellitus (AOR = 2.15, 95% CI: 1.09-4.25, P < .05), and arrhythmia (AOR = 3.01, 95% CI: 1.46-6.20, P < .01) at the time of stroke were associated with increased PSF at 4 years. Nonvascular risk factors including female sex (AOR = 1.99, 95% CI: 1.06-03.70, P < .05) and depression (AOR = 1.18, 95% CI: 1.01-1.39, P < .05) were related to PSF.

CONCLUSIONS

PSF was prevalent in the majority of survivors, with comorbid vascular factors significantly contributing to persistent fatigue. The implications of these findings are important as potentially modifiable factors can be targeted and treated from acute onset. Additional research examining PSF predictors in other populations and trialing targeted interventions to control predictors of PSF are warranted.

Mechanisms of poststroke fatigue

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

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

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

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

BACKGROUND

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

AIMS

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

SUMMARY OF REVIEW

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

CONCLUSIONS

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

Self-Reported Fatigue and Associated Factors Six Years after Stroke

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