Association among depression, cognitive impairment and executive dysfunction after stroke

Mental Health Mediators for Subjective, Not Objective, Cognition, and Community Participation Poststroke

Previous studies have stated that both objective and subjective cognitive abilities and mental health symptoms are associated with community participation poststroke. However, there is a need to understand the direct and indirect associations among these variables in persons with stroke. The objective of this study was to investigate whether mental health symptoms mediate the associations of subjective and objective cognitive abilities with community participation poststroke. We built regression-based mediation models with 74 participants with mild to moderate stroke. Independent variables were objective and subjective cognitive abilities. The dependent variable was community participation. Mediators were mental health symptoms including depression, apathy, and anxiety. The results indicated that depression (b = .093), apathy (b = .134), and anxiety (b = .116) fully mediated the association between subjective cognitive ability (p < .05), but not objective cognitive ability (p > .05), and community participation poststroke. Our findings suggest that poor subjective cognitive ability combined with mental health symptoms should be addressed together to promote community participation poststroke.

Trajectory and predictors of post-stroke depression among patients with newly diagnosed stroke: A prospective longitudinal study

BACKGROUND

Post-stroke depression (PSD) is the most prevalent neuropsychological disorder among stroke patients, affecting approximately one-third of stroke survivors at any one time after a stroke. We identified between-person associations between post-stroke depression trajectories across 3 timepoints and predictors affecting trajectory classification among stroke patients.

METHODS

This is a prospective longitudinal study using a convenience sample of 119 participants from 2 tertiary hospitals from March 2022 to September 2022. Clinical assessments and data collection were performed at diagnosis (T1), 3 months (T2), and 6 months (T3) after diagnosis. The instruments were Demographic and Disease Information Sheet and PROMIS-Depression 8a. Data were analyzed using SPSS 27.0 for descriptive statistics, logistic regression, and the Mplus program for growth mixture model analysis.

RESULTS

Two stroke survivors depression trajectory classes (Class 1, moderate level decreasing- [37.8 %], and Class 2, high level increasing- [62.2%]) were delineated. Class 1 experienced moderate depression post-stroke, with a smooth diminishing pattern at T2 and T3, while Class 2 had a higher baseline depressive score and a significant increase at T2 and T3. The best growth mixture model was Class 2 model (LMR, p=0.010, BLRT, p≤0.01, AIC=2611.934, BIC=2650.842, aBIC=2606.583, Entropy= 0.944). The logistic regression results revealed that Class 2 of depression trajectory had a significant association with a lower score on cognitive function (B=-5.29, 95%CI: -8.80, -1.78, p <0.05) compared with Class 1. The stroke type, marital status, and monthly income were predictors of the Class 2 depression trajectory group among stroke patients. Precisely, ischemic stroke is associated with lower risk of class 2 trajectory.

CONCLUSION

The trajectory of post-stroke depression changes over time. This research has the potential to serve as a foundation for the assessment of high-risk stroke patients, the development of precise management programs, the implementation of risk stratification, and the enhancement of prognosis.

Is Serum VEGF-A Level an Indicator of Early-Onset Poststroke Depression?

Background and Objectives: Poststroke depression (PSD) is a psychiatric complication occurring after a stroke, and is known to negatively impact quality of life. In the present study, the possible relationship between serum vascular endothelial growth factor (VEGF-A) levels and early-onset PSD, as well as the predictive value of serum VEGF-A levels for early-onset PSD, were investigated. Materials and Methods: The study included 88 individuals diagnosed with acute ischemic stroke (AIS). Demographic data, clinical characteristics, and serum VEGF-A levels were recorded, and radiological images were examined to determine the lesion locations. The National Institutes of Health Stroke Scale (NIHSS), Montreal Cognitive Assessment (MoCA), and Hamilton depression scale (HAMD-17) were administered to the patients. Furthermore, serum VEGF-A levels were measured in all participants. Results: Although the body mass index (BMI) and VEGF-A levels were similar between the groups, MoCA scores were lower [(19.2 ± 4.4) vs. (22.3 ± 3), p = 0.001] and NIHSS scores were higher [18 (8-28) vs. 14 (3-24), p = 0.006] in individuals with PSD than in those without it. When the patients with PSD were categorized into three groups, patients with severe PSD had higher NIHSS scores [26 (23-27) vs. 15 (8-23), p = 0.006] and lower MoCA scores [(14.3 ± 1) vs. (20.9 ± 3.8), p = 0.005] than those with mild PSD. Moreover, VEGF-A levels and lesion localization were similar between mild, moderate, and severe PSD groups (p = 0.130). The MoCA score was negatively (r = -0.498, p < 0.001) correlated and the NIHSS score was positively correlated (r = 0.497, p < 0.001) with the HAMD-17 score. Conclusions: Our findings suggest that longitudinal studies in large cohorts including healthy control groups are needed to examine the possibility of using serum VEGF-A level as a marker for predicting early-onset PSD.

The impact of rehabilitation on the recovery of executive functions in stroke patients with different location of the ischemic focus

OBJECTIVES

Cognitive dysfunction is part of the clinical picture of stroke. Most of the executive dysfunctions are diagnosed in the early stage of rehabilitation, a few weeks after the vascular incident. Coexistence of executive dysfunctions with other disorders in stroke patients may hinder patient's functions, slow down the rehabilitation process, and disrupt self-awareness, interpersonal communication, and professional activity in everyday life.

MATERIAL AND METHODS

Ninety patients after ischemic stroke were examined (right hemisphere stroke: N = 33, left hemisphere stroke: N = 57). The study group (N = 45) consisted of patients rehabilitated in the Department of Rehabilitation and Physical Medicine of the University Teaching Hospital of the Military Medical Academy in Lodz, Łódź, Poland, in whom a comprehensive neurorehabilitation program was implemented, consisting of motor and neuropsychological rehabilitation. The control group (N = 45) consisted of patients awaiting admission to the department, who were covered by comprehensive environmental rehabilitation including exercise therapy and neuropsychological therapy. Executive function was measured with 3 popular diagnostic tools: the Wisconsin Card Sorting Test (WCST), the Trail Making Test (TMT part A, TMT part B), and the letter test and category test with the Verbal Fluency Test (VFT). The tests were carried out twice: the first time before the start of rehabilitation and 5 weeks later after its completion.

RESULTS

Although patients with right-hemispheric stroke showed better improvement in executive functions, stroke location did not prove to have significant impact on how effective the rehabilitation was.

CONCLUSIONS

Right hemisphere stroke patients showed greater improvement in restoring executive functions after rehabilitation compared to left hemisphere stroke patients. The location of the stroke did not significantly correlate with the efficiency of the rehabilitation setting. Int J Occup Med Environ Health. 2024;37(4):452-67.

Association of Genetically Predicted Anxiety and Depression With Functional Outcome After Ischemic Stroke: A Mendelian Randomization Study

BACKGROUND AND OBJECTIVES

Anxiety and depression have implications for ischemic stroke recovery. This study explored the association of genetically predicted anxiety and depression with functional outcome after ischemic stroke using Mendelian randomization (MR) approach.

METHODS

Independent genetic variants associated with anxiety and depression at genome-wide significance level (p < 5 × 10-8) were obtained from large-scale genome-wide association studies (Nmax = 1,306,354). Genetic results of poststroke outcome were obtained from Genetics of Ischemic Stroke Functional Outcome meta-analysis (N = 6,021). Three months after ischemic stroke event, the functional outcome was appraised with the modified Rankin Scale (mRS) score, and a mRS >2 was defined as worse functional outcome. Odds ratios (ORs) and 95% CIs are reported for the association of genetically predicted anxiety and depression with functional outcome after ischemic stroke. The inverse-variance weighted method was adopted to pool estimates. Alternative MR methods such as the weighted median and MR using the Robust Adjusted Profile Score were used as sensitivity analyses. The intercept of MR-Egger regression was also adopted to assess pleiotropy. The heterogeneity among variants was assessed by I2 and Q statistics.

RESULTS

Genetic liability to depression was associated with worse functional outcome after stroke (mRS 3-6, OR 2.30; 95% CI 1.18-4.49, p = 0.015). Sensitivity analyses produced consistent results. The bidirectional MR analysis indicates that poststroke outcome did not influence liability to depression (OR 1.01, 95% CI 0.99-1.03; p = 0.436). By comparison, genetic liability to anxiety was not related with poststroke outcome (OR 1.03; 95% CI 0.71-1.50; p = 0.869). Analyses in models without adjustment for stroke severity also indicated that genetic liability to depression was related with poor functional outcome after ischemic stroke (OR 2.54; 95% CI 1.41-4.58; p = 0.002). No evidence of heterogeneity or directional pleiotropy was observed (p > 0.05).

DISCUSSION

Our MR study provides evidence to support detrimental effects of depression on ischemic stroke functional outcome. Future studies are warranted to explore whether clinical intervention on depression can ameliorate functional outcome after ischemic stroke.

Analysis of radiological features in patients with post-stroke depression and cognitive impairment

Post-stroke depression (PSD) and post-stroke cognitive impairment (PSCI) are common complications following a stroke, significantly impacting the quality of life and survival time of survivors. Currently, the comorbidity of PSCI and PSD is receiving increasing attention, as they share some common clinical characteristics, mechanisms, risk factors, radiological features, and treatment strategies. They influence each other, with the clinical prevalence of PSD comorbid with PSCI reaching as high as 26.15 %. The prevention, screening, diagnosis, and treatment of PSD and PSCI require collaboration across clinical, radiological, and neuropsychological evaluations. This paper aims to summarize the common radiological features of both conditions from a radiological perspective, which may aid in identifying early screening and predictive imaging biomarkers.

Cognitive and emotional impairment in stroke survivors: insights from a multi-center study on inpatient rehabilitation therapy

BACKGROUND

Individuals recovering from stroke often experience cognitive and emotional impairments, but rehab programs tend to focus on motor skills. The aim of this investigation is to systematically assess the change of magnitude of cognitive and emotional function subsequent to a conventional rehabilitative protocol administered to stroke survivors within a defined locale in China.

METHODS

This is a multicenter study; a total of 1884 stroke survivors who received in-hospital rehabilitation therapy were assessed on admission (T0) and discharge (T1). The tool of InterRAI was used to assess cognitive, emotional, and behavioral abnormality.

RESULTS

The patients aged >60 years, with a history of hypertension, and long stroke onset duration were more exposed to functional impairment (all p < 0.05). Both cognitive and emotional sections were significantly improved at T1 compared to T0 (p < 0.001). Initially, 64.97% and 46.55% of patients had cognitive or emotional impairment at T0, respectively; this percentage was 58.55% and 37.15% at T1.

CONCLUSION

Many stroke survivors have ongoing cognitive and emotional problems that require attention. It is essential to focus on rehabilitating these areas during the hospital stay, especially for older patients, those with a longer recovery, and those with hypertension history.

Post-stroke Depressive Symptoms and Cognitive Performances: A Network Analysis

OBJECTIVE

To examine the relationships between post-stroke depression and cognition using network analysis. In particular, we identified central depressive symptoms, central cognitive performances, and bridge components that connect these 2 constructs.

DESIGN

An observational study. We applied network analysis to analyze baseline data to visualize and quantify the relationships between depression and cognition.

SETTING

Home and Community.

PARTICIPANTS

202 participants with mild-to-moderate stroke (N=202; mean age: 59.7 years; 55% men; 55% Whites; 90% ischemic stroke).

INTERVENTION

Not applicable.

MAIN OUTCOME MEASURES

Patient Health Questionnaire (PHQ-8) for depressive symptoms and the NIH Toolbox Cognitive Battery for cognitive performances.

RESULTS

Depressive symptoms were positively intercorrelated with the network, with symptoms from similar domains clustered together. Mood (expected influence=1.58), concentration (expected influence=0.67), and guilt (expected influence=0.63) were the top 3 central depressive symptoms. Cognitive performances also showed similar network patterns, with executive function (expected influence=0.89), expressive language (expected influence=0.68), and processing speed (expected influence=0.48) identified as the top 3 central cognitive performances. Psychomotor functioning (bridge expected influence=2.49) and attention (bridge expected influence=1.10) were the components connecting depression and cognition.

CONCLUSIONS

The central and bridge components identified in this study might serve as targets for interventions against these deficits. Future trials are needed to compare the effectiveness of interventions targeting the central and bridge components vs general interventions treating depression and cognitive impairment as a homogenous clinical syndrome.

Rest-Activity Rhythm Characteristics Associated With Depression Symptoms in Stroke Survivors

OBJECTIVE

To examine which 24-hour rest-activity rhythm (RAR) characteristics are associated with depression symptoms in stroke survivors.

DESIGN

Cross-sectional observational study examining associations of RAR characteristics with the presence of depression symptoms adjusting for age, sex, race, and medical comorbidity.

SETTING

Community setting.

PARTICIPANTS

Stroke survivors: (1) recruited locally (N women=35, N men=28) and (2) a nationally representative probability sample (the National Health and Nutrition Examination Survey [NHANES]; N women=156, N men=124).

INTERVENTIONS

None.

MEASUREMENTS

Objective RAR characteristics derived from accelerometer recordings including activity onset/offset times and non-parametric measures of RAR strength (relative amplitude), stability (interdaily stability), and fragmentation (intradaily variability). The presence of depression symptoms was categorized using Patient Health Questionnaire scores.

RESULTS

In both samples, the only RAR characteristic associated with depression symptoms was intradaily variability (fragmentation): local sample, odds ratio=1.96 [95% confidence interval=1.05-3.63]; NHANES sample, odds ratio=1.34, [95% confidence interval=1.01-1.78]). In the NHANES sample, which included both mild and moderate/severe depression, the association between 24-hour sleep-wake fragmentation and depression symptoms was driven by moderate-to-severe cases.

CONCLUSIONS

Stroke survivors with higher levels of RAR fragmentation were more likely to have depression symptoms in both samples. These findings have implications, given prior studies in general samples linking RAR fragmentation with future depression and dementia risk. Research is needed to establish the potential consequences, mechanisms, and modifiability of RAR fragmentation in stroke survivors.

The Moderating Role of Motivation in the Real-Time Associations of Fatigue, Cognitive Complaints, and Pain With Depressed Mood Among Stroke Survivors: An Ecological Momentary Assessment Study

OBJECTIVE

Stroke symptoms fluctuate during the day as stroke survivors participate in daily activities. Understanding the real-time associations among stroke symptoms and depressed mood, as well as the role of motivation for daily activities, informs, and post-stroke symptom management in the context of everyday living. This study aimed to (1) investigate the real-time associations of fatigue, cognitive complaints, and pain with depressed mood and (2) examine the role of motivation for daily activity participation as a potential moderator of these associations in stroke survivors.

DESIGN

A prospective cohort study involving 7 days of ecological momentary assessment (EMA), during which participants completed 8 EMA surveys per day. Multilevel modeling was used to analyze data.

SETTING

Community.

PARTICIPANTS

Forty community-dwelling stroke survivors (N=40).

INTERVENTIONS

Not applicable.

MAIN OUTCOME MEASURES

EMA measures of depressed mood, stroke symptoms (physical and mental fatigue, cognitive complaints, and pain), and motivation (autonomous motivation, controlled motivation).

RESULTS

Higher levels of within- and between-person physical fatigue, mental fatigue, cognitive complaints, and pain were momentarily associated with greater depressed mood (Ps<.001). Within-person autonomous motivation significantly buffered the momentary associations of physical fatigue (B=-0.06, P<.001), mental fatigue (B=-0.04, P=.032), and pain (B=-0.21, P<.001) with depressed mood.

CONCLUSIONS

Findings indicate the momentary associations of fatigue, cognitive complaints, and pain with depressed mood in stroke survivors. Autonomous motivation underpinning daily activity participation was found to buffer the associations of fatigue and pain with depressed mood. Promoting autonomous motivation for daily activity participation may be viable for preventing and mitigating poststroke depression.

Biological, Psychiatric, Psychosocial, and Cognitive Factors of Poststroke Depression

BACKGROUND

Depression is the most common psychiatric condition that occurs after cerebrovascular accident, especially within the first year after stroke. Poststroke depression (PSD) may occur due to environmental factors such as functional limitations in daily activities, lower quality of life, or biological factors such as damage to areas in the brain involved in emotion regulation. Although many factors are hypothesized to increase the risk of PSD, the relative contribution of these factors is not well understood.

PURPOSE

We evaluated which cross-sectional variables were associated with increased odds of PSD in our adult outpatient stroke neuropsychology clinic population.

METHODS

The sample included 325 patients (49.2% female; mean age of 59-years old) evaluated at an average of 8.1 months after an ischemic or hemorrhagic stroke. Variables included in logistic regression were stroke characteristics, demographics, psychosocial factors, comorbid medical problems, comorbid psychiatric conditions, and cognitive status. The Mini International Neuropsychiatric Inventory was used to determine DSM-defined PSD and anxiety disorders. A standard neuropsychological test battery was administered.

RESULTS

PSD occurred in 30.8% of the sample. Logistic regression indicated that increased odds of PSD were associated with a comorbid anxiety disorder (5.9 times more likely to suffer from PSD, p < 0.001). Further, increased odds of PSD were associated with a history of depression treatment before stroke (3.0 times more likely to suffer from PSD), fatigue (2.8 times more likely), memory impairment (2.4 times more likely), and younger age at stroke (all p values < 0.006).

DISCUSSION

Results suggest that PSD is likely multifactorial and extends the literature by demonstrating that a comorbid anxiety disorder correlated strongest with PSD. Poststroke screening and treatment plans should address not only depression but comorbid anxiety.

Predictors of post-stroke depression: Validation of established risk factors and introduction of a dynamic perspective in two longitudinal studies

INTRODUCTION

Cerebral insults lead in many cases not only to cognitive impairment but also to disturbed emotionality. After stroke, one in three survivors develops a depression which impacts quality of life and rehabilitation. Meta-analyses have identified five main predictors of post-stroke depression (PSD): history of mental disorder, stroke severity, physical disability, cognitive impairment, and social support. However, these five established variables have never been conjointly investigated in a sample of stroke survivors. Therefore, their independent predictive values remain unclear. Moreover, predictors are most often used as time-invariant factors (status scores), neglecting the intraindividual dynamics after stroke.

METHODS

Our study analyses the data of two prospective longitudinal studies, investigating stroke survivors from two rehabilitation hospitals (N ₁ = 273) and one acute care hospital (N ₂ = 226). Baseline assessments included the five established predictors and depressive symptoms. After 6 months, depressive symptoms were reassessed in both studies (n ₁ = 176, n ₂ = 183), and physical disability and social support were reassessed in study 2. The predictivity of the five predictors and the additional predictivity of intraindividual dynamics for PSD were examined in multiple linear regression analyses.

RESULTS

History of mental disorder was a risk factor for depressive symptoms after stroke at all measurement times (B = 3.32 to 3.97; p < 0.01). Physical disability was a risk factor at all measurement times (B = -0.09 to -0.03; p < 0.05) except 6 months after rehabilitation. Social support was a protective factor (B = -2.69 to -1.91; p < 0.01) outside the acute phase (R ² = 0.15-0.39). Intraindividual changes in physical disability and perceived social support were independent predictors of PSD 6 months after the acute phase (B = -0.08/-0.14; p < 0.01), in addition to status scores on established variables (ΔR ² = 0.08, p < 0.001).

DISCUSSION

History of mental disorder, physical disability, and social support are independent predictors of depressive symptoms in the first year post-stroke, also when considered conjointly. Future studies should control for these variables when investigating new predictors of PSD. In addition, intraindividual changes in known predictors after stroke play a relevant role in the pathogenesis of PSD and should be considered in clinical practice and future research.

The Associated Factors of Quality of Life among Stroke Survivors: A Study in Indonesia

Background: The prevalence and burden of stroke are still high, especially in low and middle-income countries. Stroke affects the economy and physics related to the Quality of Life (QoL). Various QoL-associated factors, including sociodemographic, functional outcome, emotional, and cognitive function, were studied. However, there was very limited information about the QoL-associated factors among stroke survivors in Semarang, Indonesia.Purpose: This study aimed to identify the QoL-associated factors among stroke survivors in Semarang, Indonesia.Methods: This cross-sectional study was conducted in outpatient services and involved 57 ischemic stroke survivors using convenience sampling. Demographic and clinical information were obtained using medical records and questionnaires. The questionnaires were the Short Version of Specific Stroke Quality of Life (SS-QoL) to measure QoL, GRID-HAMD 17 to measure Post Stroke Depression (PSD), Mini-Mental Status Examination (MMSE) to measure cognitive impairment, Barthel–Index (BI) to measure functional outcome, Hamilton Anxiety Rating Scale (HAM-A) to measure anxiety, and Multidimensional Scale of Perceived Social Support (MSPSS) to measure social support. Linear regression was conducted in the model performance of QoL-associated factors.Results: The stroke duration was 155(18) days, and 50.9% of participants were males. The linear regression showed that age (-.164 95% CI -.412 - .084), marital status (3.937 95% CI 1.010 - 6.864), functional outcome (.127 95% CI .013 - .241), PSD (-1.090 95% CI -2.144 - -.036), cognitive function (.308 95% CI -.482 - 1.098) and anxiety (-.408 95% CI -1.125 - .268) were QoL-predictors (p<.001, adjusted R2=52.1). It is assumed that age, marital status, functional outcome, PSD, cognition, and anxiety significantly predict the QoL among ischemic stroke survivors.Conclusion: The QoL-associated factors were age, marital status, functional outcome, PSD, cognition, and anxiety. These associated factors of QoL should be considered as elements in formulating nursing interventions that aim to improve the good QoL among stroke survivors.

Breathing Exercises for Improving Cognitive Function in Patients with Stroke

Patients with stroke may experience a certain degree of cognitive decline during the period of recovery, and a considerable number of such patients have been reported to show permanent cognitive damage. Therefore, the period of recovery and rehabilitation following stroke is critical for rapid cognitive functional improvements. As dysfunctional breathing has been reported as one of the factors affecting the quality of life post stroke, a number of studies have focused on the need for improving the breathing function in these patients. Numerous breathing exercises have been reported to enhance the respiratory, pulmonary, cognitive, and psychological functions. However, scientific evidence on the underlying mechanisms by which these exercises improve cognitive function is scattered at best. Therefore, it has been difficult to establish a protocol of breathing exercises for patients with stroke. In this review, we summarize the psychological, vascular, sleep-related, and biochemical factors influencing cognition in patients and highlight the need for breathing exercises based on existing studies. Breathing exercises are expected to contribute to improvements in cognitive function in stroke based on a diverse array of supporting evidence. With relevant follow-up studies, a protocol of breathing exercises can be developed for improving the cognitive function in patients with stroke.

Personalized Neurophysiological and Neuropsychological Assessment of Patients with Left and Right Hemispheric Damage in Acute Ischemic Stroke

The leading factors of post-stroke disability are motor disorders and cognitive dysfunctions. The aim of the study was to identify and provide a rationale for the variable early cognitive dysfunction in right and left hemispheric damage in patients with acute stroke. The study included 80 patients diagnosed with ischemic stroke. All patients were assessed for cognitive status, depression, fatigue and anxiety. For objectification, the method of evoked potentials (P300) and neuroimaging were used. Our findings revealed distinguishing features of cognitive dysfunction and identified a combination of the most informative markers characteristic of right and left hemispheric damage in patients with acute ischemic stroke. In patients with damage to the left hemisphere, a predominance of dysregulation syndrome (decrease in executive function and attention) was revealed, accompanied by various disorders such as severe anxiety and fatigue. The causes of this cognitive dysfunction may be directly related to stroke (damage to subcortical structures), as well as to a preexisting reduction in higher mental functions associated with age and vascular conditions. Cognitive impairments in patients with lesions of the right hemisphere were characterized by polymorphism and observed in the mental praxis, speech (with predominant semantic component) and abstract thinking domains. They are closely linked to each other and are more related to the lateralization of the lesion and preexisting neurodegeneration than to the localization of the ischemic lesion. The study of P300-evoked potentials is a good tool for confirming cognitive dysfunction. The latent period of the P300 wave is more sensitive to neurodegeneration, while the amplitude factor characterizes vascular pathology to a greater extent. The results of the study provide a rationale for a comprehensive assessment of lateralization, stroke localization, underlying diseases, neurophysiological parameters and identified cognitive impairments when developing a plan of rehabilitation and neuropsychological measures aimed at cognitive and emotional recovery of patients both in the acute phase of ischemic stroke and when selecting further personalized rehabilitation programs.

Can subjective cognitive complaints at three months post stroke predict alteration in information processing speed during the first year?

Cognitive impairment, particularly slowing of information processing speed (IPS), is prevalent after stroke. However, the link between subjective cognitive complaints (SCC) and cognitive deficit remains unclear. This study evaluated the link between SCC at three months post stroke and deficit as well as objective alterations in IPS in the first year post stroke. Patients (N = 200) and healthy controls (N = 105) took part in the COMPlaints After Stroke study (COMPAS). SCC, IPS and depression were evaluated at 3 months, 1 and 2 years post stroke. The Reliable Change Index was used to assess change in IPS in the first year post. Approximately one out of three patients showed deficit in IPS irrespective of time post stroke, while a change in IPS (N = 117) over time was relatively uncommon. SCC at three months post stroke did not predict change in IPS between three months and one year post stroke, where depressive symptoms did show a link. Cross sectional data showed a deficit in IPS in a substantial number of stroke patients irrespective of the point in time. Longitudinal data revealed a further decline in a small subgroup in the first year post stroke, which was not predicted by SCC at three months post stroke. The findings show that, irrespective of time post stroke and even when stroke is relatively mild, impairment in IPS is prevalent, but cannot be predicted by the complaints patients express. The link with depressive symptoms needs more exploration.

Family Functioning is Associated with Post-Stroke Depression in First-Ever Stroke Survivors: A Longitudinal Study

BACKGROUND

Post-stroke depression (PSD) can aggravate the mortality and recurrence rate in stroke patients. The relationship between family functioning and PSD at different phases after a first-ever stroke is unclear. The purpose of this longitudinal study was to investigate the patterns and relationship of family functioning and PSD at acute hospitalization and 6 months post-discharge in first-ever stroke survivors.

METHODS

This is a longitudinal study conducted in Guangzhou, China. Family functioning and depression were measured by the Short Form Family Assessment Device (SF-FAD) and Self-Rating Depression Scale (SDS) at baseline and 6 months post-discharge. Multiple linear regression analysis was used to explore the relationship between family functioning and PSD.

RESULTS

The prevalence of PSD at acute hospitalization and 6 months post-discharge was 32.9% and 20.0%, respectively. SDS scores decreased significantly from baseline to 6 months post-discharge, while SF-FAD scores did not change significantly during this period. The Pearson correlation coefficient showed that SF-FAD scores were positively associated with SDS scores at the two time points (r ₁ = 0.341, r ₂ = 0.510, P < 0.05). Multiple linear regression analyses indicated that SF-FAD scores could predict PSD at baseline (unstandardized coefficient: 7.010, P < 0.05) and 6 months post-discharge (unstandardized coefficient: 9.672, P < 0.001).

CONCLUSION

This study found that first-ever stroke survivors had good family functioning at baseline and 6 months post-discharge. The findings in this study verified that poor family functioning is positively associated with PSD at different phases post-stroke. Good family functioning is an important protective factor against PSD.

Epidemiological characterization of stroke cases under rehabilitation on the Brazilian Unified Health System in Mossoró, Rio Grande do Norte

Objectives: To identify the clinical and epidemiological characteristics of patients undergoing treatment for a stroke at the only public rehabilitation clinic in Mossoró/RN (Doctor Ozias Alves de Souza Rehabilitation Center). Methods: Quantitative, prospective, descriptive, cross-sectional, exploratory study, structured from responses to a clinical-epidemiological and sociodemographic questionnaire with 39 items, to assess aspects concerning the profile of patients affected by stroke and undergoing rehabilitation treatment. Results: Twenty-eight individuals with stroke sequelae undergoing treatment at the rehabilitation center were identified, whose clinical-epidemiological characteristics revealed equivalence concerning gender (50% male:female), the predominance of white and brown color/race (46.4% each), and overweight (35.7%). Most of the patients lived in a family environment with a spouse (64.3%), were retired (71.4%), with monthly income between one and two minimum wages (64.3%), with hemiplegic sequelae resulting from the stroke (85.7%) and difficulties in adapting to the current way of life (75%). Conclusion: The present study allows an initial scrutiny of stroke cases in Mossoró/RN and their rehabilitation process. Such data may contribute to a better understanding of issues concerning stroke by government sectors, aiming to improve care and multidisciplinary interventions to provide patients with reinsertion in both work practice and in everyday social relationships.

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.

Validation of Indian Council of Medical Research Neurocognitive Tool Box in Diagnosis of Mild Cognitive Impairment in India: Lessons from a Harmonization Process in a Linguistically Diverse Society

BACKGROUND/AIMS

In a linguistically diverse country such as India, challenges remain with regard to diagnosis of early cognitive decline among the elderly, with no prior attempts made to simultaneously validate a comprehensive battery of tests across domains in multiple languages. This study aimed to determine the utility of the Indian Council of Medical Research-Neurocognitive Tool Box (ICMR-NCTB) in the diagnosis of mild cognitive impairment (MCI) and its vascular subtype (VaMCI) in 5 Indian languages.

METHODS

Literate subjects from 5 centers across the country were recruited using a uniform process, and all subjects were classified based on clinical evaluations and a gold standard test protocol into normal cognition, MCI, and VaMCI. Following adaptation and harmonization of the ICMR-NCTB across 5 different Indian languages into a composite Z score, its test performance against standards, including sensitivity and specificity of the instrument as well as of its subcomponents in diagnosis of MCI, was evaluated in age and education unmatched and matched groups.

RESULTS

Variability in sensitivity-specificity estimates was noted between languages when a total of 991 controls and 205 patients with MCI (157 MCI and 48 VaMCI) were compared due to a significant impact of age, education, and language. Data from a total of 506 controls, 144 patients with MCI, and 46 patients with VaMCI who were age- and education-matched were compared. Post hoc analysis after correction for multiple comparisons revealed better performance in controls relative to all-cause MCI. An optimum composite Z-score of -0.541 achieved a sensitivity of 81.1% and a specificity of 88.8% for diagnosis of all-cause MCI, with a high specificity for diagnosis of VaMCI. Using combinations of multiple-domain 2 test subcomponents retained a sensitivity and specificity of >80% for diagnosis of MCI.

CONCLUSIONS

The ICMR-NCTB is a "first of its kind" approach at harmonizing neuropsychological tests across 5 Indian languages for the diagnosis of MCI due to vascular and other etiologies. Utilizing multiple-domain subcomponents also retains the validity of this instrument, making it a valuable tool in MCI research in multilingual settings.

Efficacy of repetitive transcranial magnetic stimulation for post-stroke depression: a systematic review and meta-analysis of randomized clinical trials

We aimed to conduct a meta-analysis to evaluate the efficacy of repetitive transcranial magnetic stimulation (rTMS) in patients with post-stroke depression (PSD). Six relevant electronic databases (PubMed, CENTRAL, Embase, Web of Science, CINAHL, and PsycINFO) were searched. Randomized controlled trials (RCTs) that compared rTMS with control condition for PSD were included. The mean change in depression symptom scores was defined as the primary efficacy outcome. Secondary outcomes included the remission rate of depression, stroke recovery, and cognitive function recovery. In total, 7 RCTs with 351 participants were included. At post-treatment, rTMS was significantly more effective than the control condition, with a standardized mean difference (SMD) of -1.15 (95%CI: -1.62 to -0.69; P<0.001, I2=71%) and remission with an odds ratio (OR) of 3.46 (95%CI: 1.68 to 7.12; P<0.001; I2=11%). As for stroke recovery, rTMS was also better than the control condition (SMD=-0.67, 95%CI: -1.02 to -0.32; P<0.001). However, no significant difference was found for cognitive function recovery between the two groups (SMD=4.07, 95%CI: -1.41 to 9.55; P=0.15). To explore the potential moderators for the primary outcome, a series of subgroup and sensitivity analyses were performed. The results implied that rTMS may be more effective in Asian samples than in North American samples (P=0.03). In conclusion, from the current evidence in this study, rTMS could be an effective treatment for patients with PSD. Further clinical studies with larger sample sizes and clearer subgroup definitions are needed to confirm these outcomes.

Structural Change of Gut Microbiota in Patients with Post-Stroke Comorbid Cognitive Impairment and Depression and Its Correlation with Clinical Features

Background: Post-stroke comorbid cognitive impairment and depression (PSCCID) is a severe neuropsychiatric complication after acute stroke. Gut microbiota dysbiosis is associated with many psychiatric disorders. Alterations in the composition of gut microbiota may serve as a critical role in patients with PSCCID. Objective: We aimed to characterize the microbial profiles of patients with PSCCID. Method: A total of 175 stroke patients were recruited in the study. The composition of gut bacterial communities of patients was determined by 16S ribosomal RNA Miseq sequencing, and Phylogenetic Investigation of Communities by Reconstruction of Unobserved States was used to demonstrate the functional alterations of gut microbiota. We further identified the characteristic gut microbiota of PSCCID using linear discriminant analysis effect size. Results: Patients with PSCCID exhibited an increased abundance of Proteobacteria, including Gammaproteobacteria, Enterobacteriales, and Enterobacteriaceae, and a decreased abundance of several short-chain fatty acids-producing bacteria compared with non-PSCCID patients. The abundance of Gammaproteobacteria and Enterobacteriaceae showed negative correlations with the MoCA score. Moreover, the Kyoto Encyclopedia of Genes and Genomes results demonstrated the enriched orthologs of glycan biosynthesis and metabolism and decreased orthologs of amino acid metabolism in PSCCID patients. Importantly, the characteristic gut microbiota was identified and achieved an area under the curve of 0.847 between the two groups. Conclusion: In this study, we characterized the gut microbiota of PSCCID patients, and revealed the correlations of the altered gut microbiota with clinical parameters, which took a further step towards non-invasive diagnostic biomarkers for PSCCID from fecal samples.

Depression and Apathy After Transient Ischemic Attack or Minor Stroke: Prevalence, Evolution and Predictors

Few previous studies have focused on affective impairment after transient ischemic attack (TIA) and/or minor stroke. The aim was to establish the prevalence, evolution and predictors of post-stroke depression (PSD) and post-stroke apathy (PSA) over a 12-month follow-up period. We prospectively included TIA and minor stroke patients (NIHSS ≤4) who had undergone magnetic resonance imaging <7 days. PSD was diagnosed according to DSM-5 criteria and PSA was defined based on an Apathy Evaluation Scale (AES-C) score of ≥37. Clinical and neuroimaging variables (presence and patterns of lesion, cerebral bleeds and white matter disease) were analysed in order to find potential predictors for PSD and PSA. Follow-up was performed at 10 days and after 2, 6, 9 and 12 months. 82 patients were included (mean 66.4 [standard deviation11.0] years) of whom 70 completed the follow-up. At 10 days, 36 (43.9%) and 28 (34.1%) patients respectively were diagnosed with PSD and PSA. At 12 months, 25 of 70 (35.7%) patients still had PSA, but only 6 of 70 (8.6%) had PSD. Beck Depression Inventory-II score, mini mental state examination (MMSE) and a previous history of depression or anxiety were predictors for PSD. While MMSE score, The Montgomery Asberg Depression Rating Scale and having previously suffered a stroke were also risk factors for PSA. Acute basal ganglia lesion and periventricular leukoaraiosis were associated with PSA while deep leukorariosis with PSD. Despite the presence of few or only transient symptoms, PSD and PSA frequent appear early after TIA and minor stroke. Unlike PSD, apathy tends to persist during follow-up.

Repetitive Transcranial Magnetic Stimulation Improves Depressive Symptoms and Quality of Life of Poststroke Patients-Prospective Case Series Study

Background:

Poststroke depression (PSD) is a serious psychiatric complication often reported after a stroke. Nearly a third of stroke survivors experience depressive symptoms at some point, affecting their functional recovery and quality of life. In recent years, repetitive transcranial magnetic stimulation (rTMS) has been studied by many researchers and found to be a safe supporting tool for the treatment of PSD.

Objective:

We aim to evaluate the effects of rTMS on PSD and on the quality of life of poststroke patients.

Method:

A prospective clinical case series, performed at CRER Rehabilitation, Brazil, between June 2016 and May 2017. A nonprobabilistic sample (n = 15) was divided into 2 groups (excitatory stimulation in F3, n = 8; inhibitory stimulation in F4, n = 7) and underwent 20 sessions of rTMS. Individuals were assessed according to the 17-item Hamilton Depression Rating Scale (HAM-D17) and World Health Organization Quality of Life-Brief Version (WHOQOL-BREF) questionnaire at 3 different moments: baseline, at the end of the treatment, and in a 1-month follow-up meeting.

Results:

Both groups presented a significant change in the score of all WHOQOL-BREF domains and in HAM-D17. In the group that received inhibitory stimulation (F4), score changes were continuous and gradual, comparing the 3 moments. In the excitatory stimulated (F3) group, however, the improvement in scores was more expressive between baseline and the second moment, without significant changes in the follow-up.

Conclusions:

The findings of this clinical study suggest that rTMS can be a promising tool, capable of relieving depressive symptoms and helping in the improvement of poststroke patients’ quality of life.

Genetically Determined Risk of Depression and Functional Outcome After Ischemic Stroke

Background and Purpose- Psychosocial factors can have implications for ischemic stroke risk and recovery. This study investigated the effect of genetically determined risk of depression on these outcomes using the Mendelian randomization (MR) framework. Methods- Genetic instruments for risk of depression were identified in a discovery genome-wide association study of 246 363 cases and 561 190 controls and further replicated in a separate population of 474 574 cases and 1 032 579 controls. Corresponding genetic association estimates for risk of ischemic stroke were taken from 60 341 cases and 454 450 controls, with those for functional outcome 3 months after ischemic stroke taken from an analysis of 6021 patients. Following statistical power calculation, inverse-variance weighted MR was performed to pool estimates across different instruments. The Cochran Q heterogeneity test, weighted median MR, and MR pleiotropy residual sum and outlier were used to explore possible bias relating to inclusion of pleiotropic variants. Results- There was no MR evidence for an effect of genetically determined risk of depression on ischemic stroke risk. Although suffering low statistical power, the main inverse-variance weighted MR analysis was suggestive of a detrimental effect of genetically determined risk of depression on functional outcome after ischemic stroke (odds ratio of poor outcome [modified Rankin Scale, ≥3] per 1-SD increase in genetically determined risk of depression, 1.81; 95% CI, 0.98-3.35; P=0.06). There was no evidence of heterogeneity between MR estimates produced by different instruments (Q P=0.26). Comparable MR estimates were obtained with weighted median MR (odds ratio, 2.57; 95% CI, 1.05-6.25; P=0.04) and MR pleiotropy residual sum and outlier (odds ratio, 1.81; 95% CI, 0.95-3.46; P=0.08). Conclusions- We found no MR evidence of genetically determined risk of depression affecting ischemic stroke risk but did find consistent MR evidence suggestive of a possible effect on functional outcome after ischemic stroke. Given the widespread prevalence of depression-related morbidity, these findings could have implications for prognostication and personalized rehabilitation after stroke.

Preliminary Screening Recommendations for Patients at Risk of Depression and/or Anxiety more than 1 year Poststroke

GOAL

Depression and anxiety are important complications of stroke but are underdiagnosed in community settings. The current study identified which patients were at increased risk of developing either disorder more than1 year poststroke to assist in targeted screening.

METHODS

Crosssectional survey of 147 adults who had a stroke more than 1 year ago were recruited from stroke advocacy/support groups and an outpatient register. Participants completed the Hospital Anxiety and Depression Scale (HADS) and reported whether they had emotional problems as a stroke inpatient (single item: yes/no). Standardized self-report measures evaluated medical (physical independence, health-related quality of life), cognitive (memory, executive functioning), and psychological (social support) variables. Demographic and stroke-related (stroke type, year) information were also recorded.

FINDINGS

Between 53% and 80% of respondents (n = 117) screened positive for depressed mood and/or anxiety (HADS subscale cut-offs: ≥8 or ≥4). Logistic regression analyses indicated that stroke survivors who reported having emotional problems as inpatients (odds ratio [OR]: 0.23), were female (OR: 3.42), and had poor health-related quality of life (OR: 0.45-0.53) and cognitive problems (OR: 0.68-0.74), were more likely to screen positive for either disorder. Models based on these variables predicted screening outcomes with 91% accuracy.

CONCLUSIONS

Community-based stroke survivors who reported experiencing emotional problems as inpatients, were female, or had poor health-related quality of life (chronic pain, disturbed sleep, communication difficulties) and/or cognitive issues were at greater risk of being depressed/anxious. Targeted screening of these patients may help to identify those who are most in need of more comprehensive clinical assessments and evidence-based interventions.

Predictors of Remission of Early-Onset Poststroke Depression and the Interaction Between Depression and Cognition During Follow-Up

Objectives: This study aimed to examine the rate of remission in individuals experiencing early-onset poststroke depression (PSD) in China and to identify predictors of remission during a 3-month follow-up. This study also explored the interaction between cognitive impairment and depression. Methods: A total of 820 patients with PSD from a massive multicenter prospective cohort project in China (PRIOD) were included in the present study. Depressive symptoms were measured with the Hamilton Depression Rating Scale (17 Items, HDRS-17) at 2 weeks and the endpoint of the 3-month follow-up. The cut-off score of HDRS-17 (< 8) was used to define remission of depression at the endpoint. The Mini-Mental State Exam (MMSE) was used to evaluate the cognitive impairment of the patients (at the 2-week follow-up and 3-month endpoint). The National Institutes of Health Stroke Scale (NIHSS) was used to measure the severity of stroke. Results: (1) Six hundred and forty-two patients completed the 3-month follow-up, and 332 (51.7%) patients remitted by the end of the study. Univariate analyses indicated that there was a higher proportion of patients who had hypertension, frontal lobe lesion, basal ganglia lesion, poor outcome at 2 weeks, high scores on the NIHSS at 2 weeks, major life events within 3 months, and major medical diseases within 3 months in the nonremission group. In stepwise multiple logistic regression analyses, remission was significantly predicted by lower NIHSS scores at 2 weeks (p = 0.001, OR = 1.086, 95% CI 1.035-1.139), fewer major life events (p = 0.036, OR = 5.195, 95% CI 1.111-27.283), fewer major medical comorbidities (p = 0.015, OR = 2.434, 95% CI 1.190-4.979), and fewer frontal lobe lesions (p = 0.042, OR = 1.717, 95% CI 1.019-2.891). (2) After controlling for confounding variables, repeated measures analysis of variance revealed a significant interaction between time (2 weeks vs. 3 months) and group (remitters vs. nonremitters) on MMSE scores [F (1, 532) = 20.2, p < 0.001]. Conclusions: Early-onset PSD patients with milder neurological impairment, fewer major life events, fewer major medical comorbidities and no frontal lobe lesion at baseline were more likely to achieve remission 3 months after stroke. Only remitters of PSD improved significantly in cognitive impairment after stroke. The PRIOD trial is registered at http://www.isrctn.com/, number ISRCTN62169508.

The Complex Interplay Between Depression/Anxiety and Executive Functioning: Insights From the ECAS in a Large ALS Population

Introduction: The observed association between depressive symptoms and cognitive performances has not been previously clarified in patients with amyotrophic lateral sclerosis (pALS). In fact, the use of cognitive measures often not accommodating for motor disability has led to heterogeneous and not conclusive findings about this issue. The aim of the present study was to evaluate the relationship between cognitive and depressive/anxiety symptoms by means of the recently developed Edinburgh Cognitive and Behavioral ALS Screen (ECAS), a brief assessment specifically designed for pALS. Methods: Sample included 168 pALS (114 males, 54 females); they were administered two standard cognitive screening tools (FAB; MoCA) and the ECAS, assessing different cognitive domains, including ALS-specific (executive functions, verbal fluency, and language tests) and ALS non-specific subtests (memory and visuospatial tests). Two psychological questionnaires for depression and anxiety (BDI; STAI/Y) were also administered to patients. Pearson's correlation coefficient was used to assess the degree of association between cognitive and psychological measures. Results: Depression assessment negatively correlated with the ECAS, more significantly with regard to the executive functions subdomain. In particular, Sentence Completion and Social Cognition subscores were negatively associated with depression levels measured by BDI total score and Somatic-Performance symptoms subscore. Conversely, no significant correlations were observed between depression level and cognitive functions as measured by traditional screening tools for frontal abilities (FAB) and global cognition (MoCA) assessment. Finally, no significant correlations were observed between state/trait anxiety and the ECAS. Discussion and conclusion: This represents the first study focusing on the relationship between cognitive and psychological components in pALS by means of the ECAS, the current gold standard for ALS cognitive-behavioral assessment. If confirmed by further investigations, the observed association between depression and executive functions suggests the need for a careful screening and treatment of depression, to avoid overestimation of cognitive involvement and possibly improve cognitive performances in ALS.

Baseline Vascular Cognitive Impairment Predicts the Course of Apathetic Symptoms After Stroke: The CASPER Study

OBJECTIVE

To examine the influence of vascular cognitive impairment (VCI) on the course of poststroke depression (PSD) and poststroke apathy (PSA).

METHODS

Included were 250 stroke patients who underwent neuropsychological and neuropsychiatric assessment 3 months after stroke (baseline) and at a 6- and 12-month follow-up after baseline. Linear mixed models tested the influence of VCI in at least one cognitive domain (any VCI) or multidomain VCI (VCI in multiple cognitive domains) at baseline and domain-specific VCI at baseline on levels of depression and apathy over time, with random effects for intercept and slope.

RESULTS

Almost half of the patients showed any VCI at baseline, and any VCI was associated with increasing apathy levels from baseline to the 12-month follow-up. Patients with multidomain VCI had higher apathy scores at the 6- and 12-month follow-up compared with patients with VCI in a single cognitive domain. Domain-specific analyses showed that impaired executive function and slowed information processing speed went together with increasing apathy levels from baseline to 6- and 12-month follow-up. None of the cognitive variables predicted the course of depressive symptoms.

CONCLUSION

Baseline VCI is associated with increasing apathy levels from baseline to the chronic stroke phase, whereas no association was found between baseline VCI and the course of depressive symptoms. Health professionals should be aware that apathy might be absent early after stroke but may evolve over time in patients with VCI.

Diversity of approaches in assessment of executive functions in stroke: limited evidence?

Stroke is a leading cause of disability worldwide. Cognitive functions and, in particular, executive function, are commonly affected after stroke, leading to impairments in performance of daily activities, decrease in social participation and in quality of life. Appropriate assessment and understanding of executive dysfunction are important, firstly to develop better rehabilitation strategies for executive functions per se and secondly to consider executive function abilities on rehabilitation strategies in general. The purpose of this review was to identify the most widely used assessment tools of executive dysfunction for patients with stroke, and their psychometric properties.

We systematically reviewed manuscripts published in English in databases from 1999 to 2015. We identified 35 publications. The most frequently used instruments were the Stroop, Digit Span and Trail making tests. Psychometric properties were described for the Executive Function Performance Test, Executive Clock Drawing Task, Chinese Frontal Assessment Battery and Virtual Action Planning — Supermarket, and two subtests of the Cambridge Cognitive Examination — Revised.

There is a paucity of tools to reliably measure executive dysfunction after stroke, despite the fact that executive dysfunction is frequent. Identification of the best tools for executive dysfunction assessment is necessary to address important gaps in research and in clinical practice.

Lost in translation: rethinking approaches to stroke recovery

Stroke is the second leading cause of death and the preeminent cause of neurological disability. Attempts to limit brain injury after ischemic stroke with clot-dissolving drugs have met with great success but their use remains limited due to a narrow therapeutic time window and concern over serious side effects. Unfortunately, the neuroprotective strategy failed in clinical trials. A more promising approach is to promote recovery of function in people affected by stroke. Following stroke, there is a heightened critical period of plasticity that appears to be receptive to exogenous interventions (e.g., delivery of growth factors) designed to enhance neuroplasticity processes important for recovery. An emerging concept is that combinational therapies appear much more effective than single interventions in improving stroke recovery. One of the most promising interventions, with clinical feasibility, is enriched rehabilitation, a combination of environmental enrichment and task-specific therapy.

Risk factors for poststroke depression: identification of inconsistencies based on a systematic review

OBJECTIVE

Depression after stroke or poststroke depression (PSD) has a negative impact on the rehabilitation process and the associated rehabilitation outcome. Consequently, defining risk factors for development of PSD is important. The relationship between stroke and depression is described extensively in the available literature, but the results are inconsistent. The aim of this systematic review is to outline conflicting evidence on risk factors for PSD.

METHODS

PubMed, Medline, and Web of Knowledge were searched using the keywords "stroke," "depression," and "risk factor" for articles published between January 01, 1995, and September 30, 2012. Additional articles were identified and obtained from a hand search in related articles and reference lists.

RESULTS

A total of 66 article abstracts were identified by the search strategy and 24 articles were eligible for inclusion based on predefined quality criteria. The methodology varies greatly between the various studies, which is probably responsible for major differences in risk factors for PSD reported in the literature. The most frequently cited risk factors for PSD in the literature are sex (female), history of depression, stroke severity, functional impairments or level of handicap, level of independence, and family and social support.

CONCLUSIONS

Many risk factors are investigated over the last 2 decades and large controversy exists concerning risk factors for development of PSD. These contradictions may largely be reduced to major differences in clinical data, study population, and methodology, which underline the need for more synchronized studies.