Variation in Functional Independence among Stroke Survivors Having Fatigue and Depression

Quality of life of stroke survivors: A cross-sectional study of association with functional independence, self-reported fatigue and exercise self-efficacy

OBJECTIVES

Stroke is a leading cause of disability and one of the most debilitating conditions especially in the developing world. Rehabilitation focuses on improving functional ability which may enhance quality of life (QoL). The aims of this study were to investigate the association between QoL and each of functional independence (FI), self-reported fatigue (SRF) and exercise self-efficacy (ESE) in stroke survivors.

METHODS

This is a descriptive cross-sectional survey, documenting QoL, FI, SRF and ESE of stroke survivors seen at the physiotherapy outpatient clinics of two health care facilities in Oyo state, Nigeria. Descriptive and inferential statistics were used to analyse the data with significance level set at 0.05.

RESULTS

Participants were 110 stroke survivors (64 males; 46 females) aged 60.9 ± 11.9 years. Significant associations were found between QoL and each of FI and ESE (p < 0.01) while no significant association was observed for SRF. FI strongly predicts good QoL in stroke survivors (OR = 16.34; p < 0.01) and high ESE is a determinant of QoL (OR = 6.46; p = 0.04). Stroke survivors with SRF were less likely to report good QoL.

DISCUSSION

Functional independence and exercise self-efficacy were directly associated with QoL and were also major predictors of good QoL in stroke survivors.

Post-Stroke Psychiatric and Cognitive Symptoms in West Asia, South Asia and Africa: A Systematic Review and Meta-Analysis

Recent research has shown that the prevalence of stroke incidents and the number of survivors in developing countries surpass those from developed countries. This study aimed to enumerate the prevalence of post-stroke psychiatric and cognitive symptoms among stroke survivors from West and South Asia and Africa through a systematic review and meta-analysis. Data from each country was systematically acquired from five major databases (PsycINFO, Web of Science, Scopus, PubMed/Medline, and Google Scholar (for any missing articles and grey literature)). Meta-analytic techniques were then used to estimate the prevalence of various post-stoke psychiatric and cognitive symptoms. A total of 36 articles were accrued from 11 countries, of which 25 were evaluated as part of the meta-analysis. The pooled prevalence of post-stroke depression as per the Hospital Anxiety and Depression Scale (HADS), Hamilton Depression Rating Scale, Patient Health Questionnaire, Schedules for Clinical Assessment in Neuropsychiatry (SCAN), Geriatric Depression Scale, and the Montgomery-Asberg Depression Rating Scale ranged from 28.00 to 50.24%. Pooled prevalence of post-stroke anxiety based on the HADS and SCAN was 44.19% and 10.96%, respectively. The pooled prevalence of post-stroke cognitive impairment as per the Mini-Mental Status Examination was 16.76%. This present review has suggested that both psychiatric and cognitive symptoms are common among stroke survivors. Concerted efforts are needed to institute robust studies using culturally sensitive measures to contemplate mechanisms that address the unmet needs of this vulnerable population.

Prevalence and Predictors of Fatigue and Neuropsychiatric Symptoms in Patients with Minor Ischemic Stroke

OBJECTIVES

Patients who are victims of a mild stroke are vulnerable to several invisible and neglected neurological sequelae. In parallel, it is known that fatigue and neuropsychiatric symptoms are common complications after a stroke in general. Our aim was to describe the prevalence and the factors associated with these two outcomes after a minor stroke.

MATERIALS AND METHODS

We conducted a prospective observational cohort study that included consecutive patients diagnosed with minor ischemic stroke between 2015 and 2019. Minor stroke was defined as NIHSS < 4 and modified Rankin Scale (mRS) < 2. Patients were followed for 12 months after the index stroke. The primary endpoints included fatigue and neuropsychiatric impairment, which were evaluated with the Fatigue Severity Scale (FSS) and the Hospital Anxiety Depression Scale (HADS), respectively.

RESULTS

A total of sixty patients were followed in our cohort. The mean age was 53.0 (SD 15.0) and 51.7% were male. There were 32 (53.3%) and 25 (41.7%) patients who developed PSF and post-stroke neuropsychiatric symptoms, respectively. The use of antidepressants and statins were associated with post-stroke fatigue, while women and younger patients were more likely to develop neuropsychiatric symptoms after the stroke (p < 0.05). Eighteen (30.0%) patients were diagnosed with both post-stroke fatigue and psychiatric disorders.

CONCLUSIONS

Post-stroke fatigue and neuropsychiatric symptoms are prevalent in minor stroke and should be independently addressed as a part of the recovery goal.

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.

Non-Pharmacological Interventions for Post-Stroke Fatigue: Systematic Review and Network Meta-Analysis

Post-stroke fatigue (PSF) is one of the most serious sequelae, which often interferes with the rehabilitation process and impairs the functional recovery of patients. Due to insufficient evidence, it is unclear which specific pharmacological interventions should be recommended. Therefore, in this paper, we compare the effectiveness of non-pharmacological interventions in PSF. A systematic review and network meta-analysis of randomized controlled trials were performed using EMBASE, MEDLINE, CINAHL, Cochrane library, ClinicalTrials.gov, CNKI, and CQVIP, from inception to January 2018, in the English and Chinese languages. RCTs involving different non-pharmacological interventions for PSF with an outcome of fatigue measured using the Fatigue Severity Scale were included. Multiple intervention comparisons based on a Bayesian network are used to compare the relative effects of all included interventions. Ten RCTs with eight PSF non-pharmacological interventions were identified, comprising 777 participants. For effectiveness, most interventions did not significantly differ from one another. The cumulative probabilities of the best non-pharmacological intervention for fatigue reduction included Community Health Management (CHM), followed by Traditional Chinese Medicine (TCM) and Cognitive Behavioral Therapy (CBT). Network meta-analysis based on data from the selected RCTs indicated that the eight PSF non-pharmacological interventions shared equivalent efficacy, but CHM, TCM, and CBT showed potentially better efficacy. In the future, fatigue needs to be recognized and more accurate assessment methods for PSF are required for diagnosis and to develop more effective clinical interventions.

Prevalence and correlates of depression among Nigerian stroke survivors

BACKGROUND

There is mixed evidence for the hypothesis that the risk of depression after stroke is influenced by the location of lesions in the hemispheres, demographic and clinical factors, and disability of stroke survivors.

AIM

The current study determined the prevalence of depression and its socio-demographic and clinico-pathological correlates among stroke survivors in a tertiary hospital in Lagos, Nigeria.

METHOD

The cross-sectional study was carried out among 112 adult patients with a clinical history of stroke confirmed by neuroimaging. Depression was diagnosed using Mini International Neuropsychiatric Interview. The socio-demographic profile was obtained, and cognitive impairment was assessed using the Mini-Mental State Examination. Stroke severity was assessed retrospectively using the National Institute of Health Stroke Scale and current disability was measured using the Modified Rankin Scale.

RESULTS

There were 48 (42.9%) stroke survivors with a clinical diagnosis of depression. Using binary logistic regression, the independent determinants of depression were younger age, unemployment, perceived poor social support, increasing number of previous admissions because of stroke, cognitive impairment, severity of stroke and current disability status. However, there was no significant association between depression and lesion location.

CONCLUSION

Depression is a common associate of stroke, and there is a need for sustained focus on young stroke survivors with severe stroke, especially those who do not have social support and have low socio-economic status, who may have a higher risk of developing depression following stroke.

Influence of Post-Stroke Depression on Functional Independence in Activities of Daily Living

Background

Little attention has been paid to screening of depression among stroke survivors in outpatient physiotherapy clinics. Post-stroke depression is reported to have a negative impact on functional recovery. However, the exact influence on the outcome of rehabilitation such as level of functional independence remains controversial. This study aims at ascertaining the influence of post-stroke depression on functional independence in activities of daily living.

Methods

The study is a cross sectional survey of stroke survivors attending outpatient physiotherapy clinics of the University of Nigeria Teaching Hospital (UNTH) Enugu, and the Enugu State University Teaching Hospital (ESUTH). Participants were evaluated for socio-demographic characteristics. Post-stroke depression and level of functional recovery in Activities of Daily Living were assessed using the Hamilton Depression Rating Scale and the Barthel Index respectively. Data was analyzed using SPSS version 23, with α set at 0.01.

Results

A total of 66 participants, 42 females and 24 males, were purposively recruited into the study. Over 80% (56) of the participant had depression, with over 50% (32) being severely depressed. Post-stroke depression was associated with less functional independence in activities of daily living (p=0.000). A significant difference was found in the level of functional independence between participants with and without depression (p=0.00).

Conclusion

Participants with post-stroke depression have less independence in activities of daily living. A longitudinal study with a larger sample size is, however, recommended so as to improve the external validity. In the mean time, outpatient rehabilitation of depressed stroke survivors should include pharmacological and psychological components.

Investigating post-stroke fatigue: An individual participant data meta-analysis

OBJECTIVE

The prevalence of post-stroke fatigue differs widely across studies, and reasons for such divergence are unclear. We aimed to collate individual data on post-stroke fatigue from multiple studies to facilitate high-powered meta-analysis, thus increasing our understanding of this complex phenomenon.

METHODS

We conducted an Individual Participant Data (IPD) meta-analysis on post-stroke fatigue and its associated factors. The starting point was our 2016 systematic review and meta-analysis of post-stroke fatigue prevalence, which included 24 studies that used the Fatigue Severity Scale (FSS). Study authors were asked to provide anonymised raw data on the following pre-identified variables: (i) FSS score, (ii) age, (iii) sex, (iv) time post-stroke, (v) depressive symptoms, (vi) stroke severity, (vii) disability, and (viii) stroke type. Linear regression analyses with FSS total score as the dependent variable, clustered by study, were conducted.

RESULTS

We obtained data from 14 of the 24 studies, and 12 datasets were suitable for IPD meta-analysis (total n = 2102). Higher levels of fatigue were independently associated with female sex (coeff. = 2.13, 95% CI 0.44-3.82, p = 0.023), depressive symptoms (coeff. = 7.90, 95% CI 1.76-14.04, p = 0.021), longer time since stroke (coeff. = 10.38, 95% CI 4.35-16.41, p = 0.007) and greater disability (coeff. = 4.16, 95% CI 1.52-6.81, p = 0.010). While there was no linear association between fatigue and age, a cubic relationship was identified (p < 0.001), with fatigue peaks in mid-life and the oldest old.

CONCLUSION

Use of IPD meta-analysis gave us the power to identify novel factors associated with fatigue, such as longer time since stroke, as well as a non-linear relationship with age.

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.

An analysis of depressive symptoms in stroke survivors: verification of a moderating effect of demographic characteristics

BACKGROUND

The rehabilitation of depressed stroke patients is more difficult because poststroke depression is associated with disruption of daily activities, functioning, and quality of life. However, research on depression in stroke patients is limited. The aim of our study was to evaluate the interaction of demographic characteristics including gender, age, education level, the presence of a spouse, and income status on depressive symptoms in stroke patients and to identify groups that may need more attention with respect to depressive symptoms.

METHODS

We completed a secondary data analysis using data from a completed cross-sectional study of people with stroke. Depression was measured using the Center for Epidemiologic Studies Depression Scale.

RESULTS

In this study, depressive symptoms in women living with a spouse were less severe than among those without a spouse. For those with insufficient income, depressive symptom scores were higher in the above high school group than in the below high school group, but were lower in patients who were living with a spouse than in those living without a spouse.

CONCLUSION

Assessing depressive symptoms after stroke should consider the interaction of gender, economic status, education level, and the presence/absence of a spouse. These results would help in comprehensive understanding of the importance of screening for and treating depressive symptoms during rehabilitation after stroke.

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

BACKGROUND

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

METHODS

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

RESULTS

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

CONCLUSION

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

Pioglitazone is an effective treatment for patients with post-stroke depression combined with type 2 diabetes mellitus

The antidepressive effects of the antidiabetic medicine, pioglitazone, were recently reported in several studies. These effects may ameliorate the depressive symptoms of patients with post-stroke depression (PSD). The present study aimed to evaluate the antidepressive effect of pioglitazone in patients with PSD combined with type 2 diabetes. A total of 118 consecutive patients with stroke who had depression were studied for an average of 3 months. The Diagnostic and Statistical Manual of Mental Disorders (fourth edition) was used to assess whether a patient was depressed or not. The severity of depression was evaluated by the Hamilton depression rating scale (HAMD). In accordance with their HAMD scores, the 118 patients were divided into a severe depression group (n=40) and a mild and moderate (MM) depression group (n=78). These subjects were then divided into pioglitazone [30 mg once daily (qd)] and metformin (0.5 g twice daily) subgroups. All patients were given fluoxetine (20 mg qd). Follow-up evaluations, which included HAMD scores, activities of daily living (ADL) scores, fasting blood glucose (FBG) levels and fasting insulin (FINS) levels, were conducted on the first and third month following the beginning of the treatment. In the MM depression group, the HAMD score in the pioglitazone subgroup was lower than that in the metformin subgroup following treatment for 1 or 3 months. In the severe depression group, the HAMD score in the pioglitazone subgroup was lower than that in the metformin subgroup following 3 months of treatment. The FINS levels of the pioglitazone subgroup gradually decreased in the 3 months of treatment. No noticeable improvement was observed in the ADL scores and FBG values. In conclusion, the results of the current study demonstrate that pioglitazone effectively decreased HAMD scores and FINS values in patients with PSD, suggesting that pioglitazone may be useful for the treatment of patients with PSD combined with type 2 diabetes.

Factors Associated with Poststroke Fatigue: A Systematic Review

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

Effect of depressive symptoms on the length of hospital stay among patients hospitalized for acute stroke in Japan

BACKGROUND

Depression after stroke is one of the most serious complications of stroke. Although many studies have shown that the length of hospital stay (LOHS) is a measurable and important stroke outcome, research has found limited evidence concerning the effect of depression on LOHS among patients who have experienced acute stroke. The objective of this study was to assess the effect of depression on LOHS among patients hospitalized for acute ischemic stroke in Japan.

METHODS

We retrospectively examined 421 patients who had experienced acute ischemic stroke. Stroke severity was measured by the National Institutes of Health Stroke Scale (NIHSS) on the 7th day of hospitalization. On the 10th day of hospitalization, depressive symptoms and functional assessment were assessed by the Japan Stroke Scale (Depression Scale) and the Functional Independence Measure, respectively. A general linear model was employed to assess the effect of probable depression on LOHS.

RESULTS

The prevalence of probable depression in the current sample was 16.3% in males and 17.8% in females. The mean LOHS of participants with probable depression (76.4±49.2 days) was significantly longer than that of participants without probable depression (44.9±39.2 days). An analysis using the general linear model to assess the effect on LOHS revealed a significant interaction between the presence of probable depression and NIHSS scores.

CONCLUSION

Depression after stroke was associated with significant increases in LOHS. Early detection and treatment for depression are necessary for patients with ischemic stroke.

Poststroke fatigue: risk factors and its effect on functional status and health-related quality of life

BACKGROUND

Fatigue is a common problem in ischemic stroke survivors. The mechanisms of poststroke fatigue are uncertain yet. The effects of it on functional status have rarely been studied.

AIMS

The aim of this study was to investigate the risk factors of poststroke fatigue and its effect on activities of daily living and health-related quality of life in Chinese patients with ischemic stroke.

METHODS

Two hundred and eighteen patients with ischemic stroke formed the study sample. A comprehensive assessment, including the Fatigue Severity Scale, Hamilton Depression Rating Scale, Lawton activities of daily living scale, and the stroke-specific quality of life scale, was conducted three-months after stroke. Magnetic resonance imaging scans focused on the evaluation of infarctions, white matter lesions, and brain atrophy.

RESULTS

In the whole sample, with Fatigue Severity Scale as the dependent variable in a linear regression model, Hamilton Depression Rating Scale, prestroke fatigue, and the National Institutes of Health Stroke Scale score at admission were significant correlates of Fatigue Severity Scale, accounting for 36% of the variance of it. When subjects with depression (Hamilton Depression Rating Scale ≥ 20 or current usage of antidepressants) were excluded, only Hamilton Depression Rating Scale and prestroke fatigue remained significant correlates of Fatigue Severity Scale, accounting for 33% of the variance of Fatigue Severity Scale. No magnetic resonance imaging variables correlated with Fatigue Severity Scale. In bivariate correlation analyses, Fatigue Severity Scale was significantly correlated with both activities of daily living and stroke-specific quality of life. In linear regression models, Fatigue Severity Scale independently contributed to activities of daily living accounting for 27% of the variance. Fatigue Severity Scale was also a significant contributor to stroke-specific quality of life accounting for 39% of the variance.

CONCLUSION

Depressive symptoms and prestroke fatigue are major correlates of poststroke fatigue while more severe poststroke fatigue is associated with poorer activities of daily living and health-related quality of life.