Post-stroke Depression Increases Disability More Than 15% in Ischemic Stroke Survivors: A Case-Control Study

Rehabilitation Transition Program to Improve Community Participation Among Stroke Survivors: A Randomized Clinical Trial

Importance

Interventions are needed to support the long-term needs of stroke survivors when they transition from inpatient rehabilitation to home, where they face new home and community environmental barriers.

Objective

To compare the efficacy of a novel, enhanced rehabilitation transition program with attentional control to improve community participation and activity of daily living (ADL) performance and to reduce environmental barriers in the home and community after stroke.

Design, Setting, and Participants

This phase 2b, parallel randomized clinical trial assessed patients 50 years or older who had experienced an acute ischemic stroke or intracerebral hemorrhage, were independent in ADLs before stroke, and planned to be discharged home. Patients were assessed at an inpatient rehabilitation facility in St Louis, Missouri, and their homes from January 9, 2018, to December 20, 2023.

Intervention

Community Participation Transition after Stroke (COMPASS), including home modifications and strategy training.

Main Outcomes and Measures

The primary outcome was community participation (Reintegration to Normal Living Index). Secondary outcomes were daily activity performance (Stroke Impact Scale ADL domain and the In-Home Occupational Performance Evaluation [I-HOPE] activity, performance, and satisfaction scores) and environmental barriers in the home (I-HOPE environmental barriers score).

Results

A total of 185 participants (mean [SD] age, 66.3 [9.0] years; 105 [56.8%] male) were randomized (85 to the COMPASS group and 100 to the control group). The COMPASS and control participants experienced similar improvements in community participation by 12 months, with no significant group (mean difference, 0.3; 95% CI, -4.6 to 5.2; P = .91) or group × time interaction (between-group differences in changes over time, 1.3; 95% CI, -7.1 to 9.6; P = .76) effects. Improvements in I-HOPE performance and satisfaction scores were greater for COMPASS participants than control participants at 12 months (between-group differences in changes for performance: 0.39; 95% CI, 0.01-0.77; P = .046; satisfaction: 0.52; 95% CI, 0.08-0.96; P = .02). The COMPASS participants had greater improvements for I-HOPE environmental barriers than the control participants (P = .003 for interaction), with the largest differences at 6 months (between-group differences in changes: -15.3; 95% CI -24.4 to -6.2).

Conclusions and Relevance

In this randomized clinical trial of stroke survivors, participants in both groups experienced improvements in community participation. COMPASS participants had greater improvements in self-rated performance and satisfaction with performing daily activities as well as a greater reduction in environmental barriers than control participants. COMPASS reduced environmental barriers and improved performance of daily activities for stroke survivors as they transitioned from inpatient rehabilitation to home.

Trial Registration

ClinicalTrials.gov Identifier: NCT03485820.

The Relationship Between Poststroke Dysphagia and Poststroke Depression and Its Risk Factors

PURPOSE

A diagnosis of dysphagia and/or depression after stroke can impact the physical, psychological, and social welfare of stroke survivors. Although poststroke depression (PSD) and poststroke dysphagia are known to occur concurrently, there is a paucity of research that has specifically investigated their association. Therefore, we aimed to study the relationship between PSD and poststroke dysphagia during acute inpatient hospitalization and within 90 days after discharge. Furthermore, we aimed to evaluate the odds and hazard of being diagnosed with depression after stroke and estimate the time to depression diagnosis from the initial stroke diagnosis in patients with and without a diagnosis of dysphagia.

METHOD

Using the acute inpatient hospital data set from our previous work, we pulled additional postdischarge administrative claims data from the 2017 Medicare 5% Limited Data Set and conducted a retrospective, cross-sectional study of patients diagnosed with poststroke dysphagia and PSD.

RESULTS

Patients diagnosed with poststroke dysphagia had 2.7 higher odds of being diagnosed with PSD and had an approximately 1.75-fold higher hazard for PSD diagnosis in the 90 days after discharge compared to patients not diagnosed with dysphagia. Risk factors for PSD included having dysphagia, being female, and having dual eligibility.

CONCLUSIONS

Our results demonstrated a significant association between PSD and poststroke dysphagia. Additional research should further explore the impact of PSD on poststroke dysphagia.

Community Participation Transition After Stroke (COMPASS) Randomized Controlled Trial: Effect on Adverse Health Events

OBJECTIVE

To compare adverse health events in intervention versus control group participants in the Community Participation Transition After Stroke trial to reduce barriers to independent living for community-dwelling stroke survivors.

DESIGN

Randomized controlled trial.

SETTING

Inpatient rehabilitation (IR) to home and community transition.

PARTICIPANTS

Stroke survivors aged ≥50 years being discharged from IR who had been independent in activities of daily living prestroke (N=183).

INTERVENTIONS

Participants randomized to intervention group (n=85) received home modifications and self-management training from an occupational therapist over 4 visits in the home. Participants randomized to control group (n=98) received the same number of visits consisting of stroke education.

MAIN OUTCOME MEASURES

Death, skilled nursing facility (SNF) admission, 30-day rehospitalization, and fall rates after discharge from IR.

RESULTS

Time-to-event analysis revealed that the intervention reduced SNF admission (cumulative survival, 87.8%; 95% confidence interval [CI], 78.6%-96.6%) and death (cumulative survival, 100%) compared with the control group (SNF cumulative survival, 78.9%; 95% CI, 70.4%-87.4%; P=.039; death cumulative survival, 87.3%; 95% CI, 79.9%-94.7%; P=.001). Thirty-day rehospitalization also appeared to be lower among intervention participants (cumulative survival, 95.1%; 95% CI, 90.5%-99.8%) than among control participants (cumulative survival, 86.3%; 95% CI, 79.4%-93.2%; P=.050) but was not statistically significant. Fall rates did not significantly differ between the intervention group (5.6 falls per 1000 participant-days; 95% CI, 4.7-6.5) and the control group (7.2 falls per 1000 participant-days; 95% CI, 6.2-8.3; incidence rate ratio, 0.78; 95% CI, 0.46-1.33; P=.361).

CONCLUSIONS

A home-based occupational therapist-led intervention that helps stroke survivors transition to home by reducing barriers in the home and improving self-management could decrease the risk of mortality and SNF admission after discharge from rehabilitation.

Association between post-stroke depression and functional outcomes: A systematic review

BACKGROUND

Post-stroke depression (PSD) is a frequent problem in stroke patients, affecting their rehabilitation process and functional outcomes. Several studies have investigated the relationship between PSD and functional outcomes, but the results have been inconsistent.

OBJECTIVE

This systematic review of non-experimental studies aims to investigate the prevalence of post-stroke depression and the association between post-stroke depression and functional outcomes.

METHOD

A search of PubMed, MEDLINE, Web of Science, and CINAHL Plus with Full Text was carried out from inception until January 2024. The literature was screened using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, with relevant papers included. We extracted data from non-experimental studies that examined associations between PSD and functional outcomes. The Joanna Briggs Institute for systematic reviews was used for critical appraisal.

RESULTS

Twenty-one studies met the study criteria, including sixteen cohort studies, four cross-sectional studies, and one case-control study. PSD prevalences ranged from 12.2% to 32.2% in the first two weeks, 17.9 to 35.5% in the first month, and 10.4% to 32.0% in the third month following a stroke. Functional outcomes were evaluated in four domains: degree of dependence, basic activity of daily living, instrumental activity of daily living, and physical and cognitive function. Significant associations between PSD and functional outcomes were identified after controlling potential factors such as age, comorbidities, and stroke severity. PSD had negative associations with functional outcomes in all four measure domains from one month to five years after a stroke. Depression treatment showed positive results on functional outcomes in stroke patients.

CONCLUSION

PSD prevalence was high in the first three months after stroke. PSD is significantly associated with poor functional outcomes. PSD assessment and management should be performed on a frequent basis in the early stages of stroke to achieve the best possible functional recovery.

Factor structure and reliability of the symptom measurement of post-stroke depression in the rehabilitation stage

BACKGROUND

The incidence of Post Stroke Depression (PSD) in the Rehabilitation Stage is high, which can bring serious physical and psychological disorders to patients. However, there is still a lack of targeted tools for screening PSD in the rehabilitation stage. Therefore, the aim of this study was to evaluate the factor structure and reliability of a measurement instrument to screen for PSD in the rehabilitation stage.

METHODS

A cross-sectional study was conducted on 780 hospitalized stroke patients who were within the rehabilitation stage from May to August 2020. Exploratory factor analysis (EFA) as well as first- and second-order confirmatory factor analysis (CFA) were performed to evaluate the factor structure of the newly developed Symptom Measurement of Post-Stroke Depression in the Rehabilitation Stage (SMPSD-RS). The reliability and validity of the SMPSD-RS were also verified using several statistical methods.

RESULTS

EFA extracted a 24-item, five-factor (cognition, sleep, behavior, emotion, and obsession) model that can clinically explain the symptoms of PSD during the rehabilitation stage. A first-order CFA confirmed the EFA model with good model fit indices, and the second-order CFA further confirmed the five-factor structure model and showed acceptable model fit indices. Acceptable reliability and validity were also achieved by the corresponding indicators.

CONCLUSION

The SMPSD-RS was proven to have a stable factor structure and was confirmed to be reliable and valid for assessing PSD symptoms in stroke patients during the rehabilitation stage.

Smartphone assessment uncovers real-time relationships between depressed mood and daily functional behaviors after stroke

INTRODUCTION

The impact of depressed mood in daily life is difficult to investigate using traditional retrospective assessments, given daily or even within-day mood fluctuations in various contexts. This study aimed to use a smartphone-based ambulatory assessment to examine real-time relationships between depressed mood and functional behaviors among individuals with stroke.

METHODS

A total of 202 participants with mild-to-moderate stroke (90% ischemic, 45% female, 44% Black) completed an ecological momentary assessment five times per day for 2 weeks by reporting their depressed mood and functional behaviors regarding where, with whom, and what activity was spent.

RESULTS

Participants spent 28% of their wake-up time participating in passive leisure activities but spent the least time in physical (4%) and vocational (9%) activities. Depressed mood was concurrently lower when participants engaged in social activities (β = -0.023 ± 0.011) and instrumental activities of daily living (β = -0.061 ± 0.013); spent time with family members (β = -0.061 ± 0.014), spouses (β = -0.043, ± 0.016), friends (β = -0.094, ± 0.021), and coworkers (β = -0.050 ± 0.021); and were located in restaurants (β = -0.068 ± 0.029), and homes of family members (β = -0.039 ± 0.020) or friends (β = -0.069 ± 0.031). Greater depressed mood was associated with worse ratings in satisfaction, performance, and engagement of activities in concurrent (βs = -0.036 ± 0.003, -0.053 ± 0.003, -0.044 ± 0.003) and time-lagged models (βs = -0.011 ± 0.004, -0.012 ± 0.004, -0.013 ± 0.004).

DISCUSSION

Smartphone-based ambulatory assessment can elucidate functional behaviors and associated mood after stroke. Findings support behavioral activation treatments to schedule social and instrumental activities for stroke survivors to reduce their depressed mood.

Improving physical movement during stroke rehabilitation: investigating associations between sleep measured by wearable actigraphy technology, fatigue, and key biomarkers

BACKGROUND

Sleep disturbance and fatigue are common in individuals undergoing inpatient rehabilitation following stroke. Understanding the relationships between sleep, fatigue, motor performance, and key biomarkers of inflammation and neuroplasticity could provide valuable insight into stroke recovery, possibly leading to personalized rehabilitation strategies. This study aimed to investigate the influence of sleep quality on motor function following stroke utilizing wearable technology to obtain objective sleep measurements. Additionally, we aimed to determine if there were relationships between sleep, fatigue, and motor function. Lastly, the study aimed to determine if salivary biomarkers of stress, inflammation, and neuroplasticity were associated with motor function or fatigue post-stroke.

METHODS

Eighteen individuals who experienced a stroke and were undergoing inpatient rehabilitation participated in a cross-sectional observational study. Following consent, participants completed questionnaires to assess sleep patterns, fatigue, and quality of life. Objective sleep was measured throughout one night using the wearable Philips Actiwatch. Upper limb motor performance was assessed on the following day and saliva was collected for biomarker analysis. Correlation analyses were performed to assess the relationships between variables.

RESULTS

Participants reported poor sleep quality, frequent awakenings, and difficulties falling asleep following stroke. We identified a significant negative relationship between fatigue severity and both sleep quality (r=-0.539, p = 0.021) and participants experience of awakening from sleep (r=-0.656, p = 0.003). A significant positive relationship was found between grip strength on the non-hemiplegic limb and salivary gene expression of Brain-derived Neurotrophic Factor (r = 0.606, p = 0.028), as well as a significant negative relationship between grip strength on the hemiplegic side and salivary gene expression of C-reactive Protein (r=-0.556, p = 0.048).

CONCLUSION

The findings of this study emphasize the importance of considering sleep quality, fatigue, and biomarkers in stroke rehabilitation to optimize recovery and that interventions may need to be tailored to the individual. Future longitudinal studies are required to explore these relationships over time. Integrating wearable technology for sleep and biomarker analysis can enhance monitoring and prediction of outcomes following stroke, ultimately improving rehabilitation strategies and patient outcomes.

Depressive Symptoms Moderate the Association Between Functional Level at Admission to Intensive Post-Stroke Rehabilitation and Effectiveness of the Intervention

INTRODUCTION

Previous studies showed that depression acts as an independent factor in functional recovery after stroke. In a prospective cohort of patients admitted to intensive inpatient rehabilitation after a stroke, we aimed to test depression as a moderator of the relationship between the functional level at admission and the effectiveness of rehabilitation at discharge.

METHODS

All patients admitted to within 30 days from an ischemic or hemorrhagic stroke to 4 intensive rehabilitation units were prospectively screened for eligibility to a multicenter prospective observational study. Enrolled patients underwent an evidence-based rehabilitation pathway. We used clinical data collected at admission (T0) and discharge (T1). The outcome was the effectiveness of recovery at T1 on the modified Barthel Index (proportion of achieved over potential functional improvement). Moderation analysis was performed by using the PROCESS macro for SPSS using the bootstrapping procedure.

RESULTS

Of 278 evaluated patients, 234 were eligible and consented to enrolment; 81 patients were able to answer to the Hospital Anxiety and Depression Scale (HADS) and were included in this analysis. The relationship between the functional status at admission and rehabilitation effectiveness was significant only in persons with fewer depressive symptoms; depression (HADS cut-off score: 5.9) moderated this relationship (P = .047), independent from age and neurological impairment.

CONCLUSIONS

Our results suggest that depression moderates between the functional status at admission and the functional recovery after post-stroke rehabilitation. This approach facilitates the identification of subgroups of individuals who may respond differently to stroke rehabilitation based on depression.

Neuroinflammation and Post-Stroke Depression: Focus on the Microglia and Astrocytes

Post-stroke depression (PSD), a frequent and disabling complication of stroke, has a strong impact on almost thirty percent of stroke survivors. The pathogenesis of PSD is not completely clear so far. Neuroinflammation following stroke is one of underlying mechanisms that involves in the pathophysiology of PSD and plays an important function in the development of depression and is regarded as a sign of depression. During the neuroinflammation after ischemic stroke onset, both astrocytes and microglia undergo a series of morphological and functional changes and play pro-inflammatory or anti-inflammatory effect in the pathological process of stroke. Importantly, astrocytes and microglia exert dual roles in the pathological process of PSD due to the phenotypic transformation. We summarize the latest evidence of neuroinflammation involving in PSD in this review, focus on the phenotypic transformation of microglia and astrocytes following ischemic stroke and reveal the dual roles of both microglia and astrocytes in the PSD via modulating the neuroinflammation.

The predictive role of early inflammation and oxidative stress and the dynamics of cytokines networks in post-stroke depression

BACKGROUNDS

Chronic inflammation and oxidative stress play an important role in the pathogenesis of PSD. The main purposes of this study were to examine the dynamic changes of cytokines networks in PSD and the predictive role of early inflammation and oxidative stress for 2-week PSD.

METHODS

Patients with ischemic stroke were recruited on day 3, and those with Hamilton Depression Rating Scale 24-Item (HAMD-24) ≥8 were classified as ischemic stroke patients with depressive symptoms and others as ischemic stroke patients without depressive symptoms. Subjects were then followed up at 2 weeks and 3 months, with those meeting diagnostic criteria for depressive symptoms on the HAMD ≥8 and the Statistical Manual of Mental Disorders-V (DSM-V) as the PSD group, and the others as the non-PSD group.

RESULTS

At 3 days, IFN-γ, IL-12(p70), IL-12(p40), IL-2, IL-28A/IFNλ2, and IL-19 were elevated in ischemic stroke patients with depressive symptoms. At 2 weeks, IL-12(p40), IL-19, IL-22, IFN-β and MMP-1 all were increased in PSD patients. At 3 months, IL-2, IFN-β and sCD163 increased in PSD group. Longitudinally, the inflammatory response decreased significantly in PSD group from 2 weeks to 3 months of follow-up, while it gradually decreased in non-PSD group from 3 days to 3 months of follow-up. SOD was positively related to IL-12(p70), IFN-γ and IL-20. Plasma IFN-γ at 3 days may be a potential predictive biomarker for 2-week PSD.

CONCLUSIONS

Peripheral inflammation and oxidative stress are involved in the pathogenesis of PSD, providing new insights for its diagnosis and treatment.

The presence of anhedonia in individuals with subacute and chronic stroke: an exploratory cohort study

Background

Anhedonia refers to the diminished capacity to experience pleasure. It has been described both as a symptom of depression and an enduring behavioral trait that contributes its development. Specifically, in stroke patients, anhedonia has been closely linked to depression, resulting in reduced sensitivity to everyday pleasures and intrinsic motivation to engage in rehabilitation programs and maintain a healthy active lifestyle. This condition may hinder patients' recovery, diminishing their autonomy, functioning, and quality of life.

Objective

We aimed to explore the prevalence and level of anhedonia and those variables that might be associated in patients with both ischemic and hemorrhagic stroke at subacute and chronic phases of the disease.

Methods

We conducted an exploratory cohort study with a sample of 125 patients with subacute and chronic stroke presenting upper-limb motor deficits. We measured participants' level of anhedonia with four items from the Beck Depression Inventory-II that describe the symptoms of this condition: loss of pleasure, loss of interest, loss of energy, and loss of interest in sex. We also collected demographic and clinical information and evaluated motor and cognitive functions as well as levels of depression, apathy, and various mood states. The results were compared to a sample of 71 healthy participants of similar age, sex, and level of education.

Results

Stroke patients demonstrated a significantly higher prevalence (18.5-19.7%) and level of anhedonia compared to the healthy controls (4.3%), regardless of stroke phase, level of motor impairment, and other clinical variables. Furthermore, post-stroke anhedonia was associated with lower levels of motivation and higher levels of negative mood states such as fatigue and anger in the long term. Importantly, anhedonia level was superior in stroke patients than in healthy controls while controlling for confounding effects of related emotional conditions.

Conclusion

This study provides novel evidence on the prevalence, level and factors related to anhedonia post-stroke. We emphasize the importance of assessing and treating anhedonia in this population, as well as conducting large-scale cohort and longitudinal studies to test its influence on long-term functional and emotional recovery.

Effects of the royal jelly consumption on post-stroke complications in patients with ischemic stroke: results of a randomized controlled trial

Aims

There is a paucity of evidence regarding the benefit of royal jelly (RJ) on post-stroke complications in patients with ischemic stroke. To address this knowledge gap, this randomized, triple-blind, placebo-controlled clinical trial was carried out to determine the effects of RJ consumption on post-stroke clinical outcomes.

Methods

Of 64 eligible ischemic stroke patients (45-80 years), 32 were randomized to the RJ and 32 to the placebo groups and completed a 12-week intervention. The intervention group was advised to receive 1,000 mg of RJ dragee daily after breakfast. Post-stroke complications including cognition, fatigue, mental health, and appetite, along with serum levels of brain-derived neurotrophic factor (BDNF), and mid-upper arm circumference (MUAC) were assessed in groups pre-and post-intervention.

Results

After 12 weeks of RJ consumption, cognitive function [adjusted mean difference, 4.71; 95% confidence interval (CI), 1.75 to 7.67], serum levels of BDNF (adjusted mean difference, 0.36; 95% CI, 0.05 to 0.67), stress (adjusted mean difference, -3.33; 95% CI, -6.50 to -0.17), and appetite (adjusted mean difference, 1.38; 95% CI, 0.19 to 2.56) were significantly improved. However, the findings for fatigue (adjusted mean difference, -4.32; 95% CI, -10.28 to 1.63), depression (adjusted mean difference, -1.71; 95% CI, -5.58 to 2.16), anxiety (adjusted mean difference, -2.50; 95% CI, -5.50 to 0.49), and MUAC (adjusted mean difference, 0.36; 95% CI, -0.11 to 0.84) were less favorable.

Conclusion

Findings support the benefits of RJ consumption in improving post-stroke complications and clinical outcomes.Clinical trial registration: https://www.irct.ir/trial/59275, Identifier IRCT20180818040827N4.

Health risk factors in Australian Stroke Survivors: A latent class analysis

ISSUES ADDRESSED

To (i) determine the prevalence of health risk factors (physical activity, diet, alcohol, smoking, blood pressure medication use and mental health) in community-dwelling stroke survivors; and (ii) examine how these health risk factors cluster, and identify associations with physical functioning, independent living, or sociodemographic factors.

METHODS

A secondary analysis of data obtained during a national randomised controlled trial. Participants had experienced stroke and completed a baseline telephone survey on demographic and stroke characteristics, health risk factors, physical functioning and independence in activities of daily living. A latent class analysis was performed to determine health risk profiles. Univariate logistic regressions were performed to identify if participant characteristics were associated with resulting classes.

RESULTS

Data analysed from 399 participants. Two classes of health risk factors were identified: Low Mood, Food & Moves Risk (16% of participants) and Alcohol Use Risk (84% of participants). The Low Mood, Food & Moves Risk group had poorer diet quality, lower physical activity levels and higher levels of depression and anxiety. Lower levels of independence and physical functioning were predictor variables for this group. In contrast, the Alcohol Use Risk group had better physical activity and diet scores, significantly lower probability of depression and anxiety, but a higher probability of risky drinking.

CONCLUSIONS

We identified two distinct health risk factor groups in our population. SO WHAT?: Future interventions may benefit from targeting the specific needs and requirements of people who have experienced stroke based on their distinct risk group. Alcohol consumption in poststroke populations requires further attention.

Bidirectional causal association between ischemic stroke and five mental disorders

OBJECTIVE

To explore the bidirectional causal association between ischemic stroke and five mental disorders from a genetic perspective using two-sample Mendelian randomization (TSMR).

METHODS

Single-nucleotide polymorphisms (SNPs) associated with ischemic stroke were obtained from the genome-wide association study (GWAS) database, and those closely related to the exposure phenotype and satisfying the three core assumptions of Mendelian randomization were selected as instrumental variables (IVs). The main TSMR analysis was conducted using the inverse variance-weighted (IVW) method, and the robustness of the results was assessed using the weighted median, weighted mode, and MR Egger methods. Heterogeneity test, pleiotropy test, and sensitivity analysis were also conducted to further ensure the accuracy and stability of the research results.

RESULTS

This study found a positive correlation between ischemic stroke and depression [IVW method (FEM): OR = 1.002, 95%CI: 1.000-1.003, P = 0.023<0.05], but no significant causal association with schizophrenia, bipolar disorder, insomnia, or anxiety (P > 0.05). Reverse TSMR analysis showed no causal association between depression, schizophrenia, bipolar disorder, insomnia, anxiety, and ischemic stroke (P > 0.05).

CONCLUSION

This study used TSMR to demonstrate from a genetic perspective that there is a positive correlation between ischemic stroke and depression, which increases the risk of depression. Proactive intervention for ischemic stroke might reduce the risk of depression.

Feasibility of performing a multi-arm clinical trial examining the novel combination of repetitive transcranial magnetic stimulation and aerobic exercise for post-stroke depression

BACKGROUND

Post-stroke depression (PSD) occurs in approximately one-third of chronic stroke survivors. Although pharmacotherapy reduces depressive symptoms, side effects are common and stroke survivors have increased likelihood of multimorbidity and subsequent polypharmacy. Thus, alternative non-pharmacological treatments are needed. Combining two non-pharmacological anti-depressant treatments, aerobic exercise (AEx) and repetitive transcranial magnetic stimulation (rTMS), has been demonstrated to be feasible and well-tolerated in chronic stroke survivors.

OBJECTIVES

The purpose of this trial was to determine the feasibility of conducting a multi-arm combinatorial trial of rTMS and AEx and to provide an estimate of effect size of rTMS+AEx on PSD symptoms.

METHODS

Twenty-four participants were allocated to one of four treatment arms AEx, rTMS, rTMS+AEx, or non-depressed Control receiving AEx. All participants received a total of 24 treatment sessions. Participant adherence was the primary outcome measure for feasibility and within group effect sizes in Patient Health Questionnaire-9 (PHQ-9) score was the primary outcome for preliminary efficacy.

RESULTS

Mean adherence rates to the exercise intervention for AEx, rTMS+AEx, and Control subjects were 83%, 98%, and 95%, respectively. Mean adherence rates for rTMS and rTMS+AEx subjects were 97% and 99%, respectively. The rTMS and rTMS+AEx treatment groups demonstrated clinically significant reductions of 10.5 and 6.2 points in PHQ-9 scores, respectively.

CONCLUSION

Performing a multi-arm combinatorial trial examining the effect of rTMS+AEx on PSD appears feasible. All treatment arms demonstrated strong adherence to their respective interventions and were well received. rTMS and the combination of AEx with rTMS may be alternative treatments for PSD.

Association of vitamin D deficiency with post-stroke depression: a retrospective cohort study from the TriNetX US collaborative networks

Background

Post-stroke depression (PSD) affects up to one-third of patients who survive stroke. This matched cohort study aimed to investigate the relationship between vitamin D deficiency (VDD) and PSD using a global health research network.

Methods

Adult patients with first-ever stroke were eligible for inclusion if their circulating vitamin D levels were available within 3 months before the onset of stroke. Patients were subdivided into those with VDD [VDD group, 25(OH) D < 20 ng/mL] and those with normal vitamin D levels [control group, 25(OH) D: 30-80 ng/mL]. By using propensity score matching (PSM), potential confounding factors were adjusted. The primary outcomes were the association of VDD with the risk of PSD at the 3-month and 12-month follow-ups, while the secondary outcomes were the relationships between VDD and the risk of pneumonia as well as emergency department visits at the 12-month follow-up.

Results

After PSM, 758 individuals were included in each group, with no significant differences in baseline characteristics. Musculoskeletal diseases, metabolic disorders, and hypertension were the three leading comorbidities in both the groups. The incidence of PSD was not significantly different between the two groups at the 3-month (5.8% vs. 4.7%, p = 0.358) and 12-month (11.6% vs. 10.2%, p = 0.364) follow-up. VDD was not associated with an increased risk of PSD at the 3-month [hazard ratio (HR) = 1.258, p = 0.358] or 12-month follow-up (HR = 1.210, p = 0.364). In addition, VDD was not associated with an increased risk of pneumonia (HR = 1.053, p = 0.823) or emergency visits at the 12-month follow-up (HR = 1.206, p = 0.148).

Conclusion

The results revealed no significant link between VDD and PSD risk during the 3-month and 12-month follow-up periods, suggesting that VDD might not play a substantial role in PSD risk. However, further extensive studies employing a prospective design are necessary to explore the potential protective effects of vitamin D against PSD and validate these findings.

Risk factors for post-stroke depression in patients with mild and moderate strokes

To determine the possible risk factors for post-stroke depression in patients with mild and moderate acute strokes. A cross-sectional descriptive study was conducted involving 129 patients with mild and moderate acute strokes. The patients were divided into post-stroke depression and non-depressed stroke groups according to the Hamilton Depression Rating Scale for Depression-17 item and Patient Health Questionnaire-9 item assessments. All participants were evaluated based on clinical characteristics and a battery of scales. Patients with post-stroke depression had an increased stroke frequency, severe stroke symptoms and poor performance in activities of daily living (ADL), cognitive function, sleep quality, interest in pleasurable activities, negative life events, and utilization of social support compared to stroke patients without depression. The Negative Life Event Scale (LES) score was significantly and independently associated with an increased probability of depression in stroke patients. Negative life events were shown to be independently associated with the incidence of depression in patients with mild and moderate acute strokes, likely mediating the influence of other predictors of depression, such as a history of stroke, decreased ADL ability, and utilization of support.

Machine learning prediction of motor function in chronic stroke patients: a systematic review and meta-analysis

Background

Recent studies have reported that machine learning (ML), with a relatively strong capacity for processing non-linear data and adaptive ability, could improve the accuracy and efficiency of prediction. The article summarizes the published studies on ML models that predict motor function 3-6 months post-stroke.

Methods

A systematic literature search was conducted in PubMed, Embase, Cochorane and Web of Science as of April 3, 2023 for studies on ML prediction of motor function in stroke patients. The quality of the literature was assessed using the Prediction model Risk Of Bias Assessment Tool (PROBAST). A random-effects model was preferred for meta-analysis using R4.2.0 because of the different variables and parameters.

Results

A total of 44 studies were included in this meta-analysis, involving 72,368 patients and 136 models. Models were categorized into subgroups according to the predicted outcome Modified Rankin Scale cut-off value and whether they were constructed based on radiomics. C-statistics, sensitivity, and specificity were calculated. The random-effects model showed that the C-statistics of all models were 0.81 (95% CI: 0.79; 0.83) in the training set and 0.82 (95% CI: 0.80; 0.85) in the validation set. According to different Modified Rankin Scale cut-off values, C-statistics of ML models predicting Modified Rankin Scale>2(used most widely) in stroke patients were 0.81 (95% CI: 0.78; 0.84) in the training set, and 0.84 (95% CI: 0.81; 0.87) in the validation set. C-statistics of radiomics-based ML models in the training set and validation set were 0.81 (95% CI: 0.78; 0.84) and 0.87 (95% CI: 0.83; 0.90), respectively.

Conclusion

ML can be used as an assessment tool for predicting the motor function in patients with 3-6 months of post-stroke. Additionally, the study found that ML models with radiomics as a predictive variable were also demonstrated to have good predictive capabilities. This systematic review provides valuable guidance for the future optimization of ML prediction systems that predict poor motor outcomes in stroke patients.

Systematic review registration

https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42022335260, identifier: CRD42022335260.

Motivation as a Measurable Outcome in Stroke Rehabilitation: A Systematic Review of the Literature

Motivated behaviours are thought to lead to enhanced performances. In the neurorehabilitation field, motivation has been demonstrated to be a link between cognition and motor performance, therefore playing an important role upon rehabilitation outcome determining factors. While motivation-enhancing interventions have been frequently investigated, a common and reliable motivation assessment strategy has not been established yet. This review aims to systematically explore and provide a comparison among the existing motivation assessment tools concerning stroke rehabilitation. For this purpose, a literature search (PubMed and Google Scholar) was performed, using the following Medical Subject Headings terms: "assessment" OR "scale" AND "motivation" AND "stroke" AND "rehabilitation". In all, 31 randomized clinical trials and 15 clinical trials were examined. The existing assessment tools can be grouped into two categories: the first mirroring the trade-off between patients and rehabilitation, the latter reflecting the link between patients and interventions. Furthermore, we presented assessment tools which reflect participation level or apathy, as an indirect index of motivation. In conclusion, we are left to put forth a possible common motivation assessment strategy, which might provide valuable incentive to investigate in future research.

Risk factor identification and prediction models for prolonged length of stay in hospital after acute ischemic stroke using artificial neural networks

Background

Accurate estimation of prolonged length of hospital stay after acute ischemic stroke provides crucial information on medical expenditure and subsequent disposition. This study used artificial neural networks to identify risk factors and build prediction models for a prolonged length of stay based on parameters at the time of hospitalization.

Methods

We retrieved the medical records of patients who received acute ischemic stroke diagnoses and were treated at a stroke center between January 2016 and June 2020, and a retrospective analysis of these data was performed. Prolonged length of stay was defined as a hospital stay longer than the median number of days. We applied artificial neural networks to derive prediction models using parameters associated with the length of stay that was collected at admission, and a sensitivity analysis was performed to assess the effect of each predictor. We applied 5-fold cross-validation and used the validation set to evaluate the classification performance of the artificial neural network models.

Results

Overall, 2,240 patients were enrolled in this study. The median length of hospital stay was 9 days. A total of 1,101 patients (49.2%) had a prolonged hospital stay. A prolonged length of stay is associated with worse neurological outcomes at discharge. Univariate analysis identified 14 baseline parameters associated with prolonged length of stay, and with these parameters as input, the artificial neural network model achieved training and validation areas under the curve of 0.808 and 0.788, respectively. The mean accuracy, sensitivity, specificity, positive predictive value, and negative predictive value of prediction models were 74.5, 74.9, 74.2, 75.2, and 73.9%, respectively. The key factors associated with prolonged length of stay were National Institutes of Health Stroke Scale scores at admission, atrial fibrillation, receiving thrombolytic therapy, history of hypertension, diabetes, and previous stroke.

Conclusion

The artificial neural network model achieved adequate discriminative power for predicting prolonged length of stay after acute ischemic stroke and identified crucial factors associated with a prolonged hospital stay. The proposed model can assist in clinically assessing the risk of prolonged hospitalization, informing decision-making, and developing individualized medical care plans for patients with acute ischemic stroke.

Delayed revascularization in acute ischemic stroke patients

Stroke shares a significant burden of global mortality and disability. A significant decline in the quality of life is attributed to the so-called post-stroke cognitive impairment including mild to severe cognitive alterations, dementia, and functional disability. Currently, only two clinical interventions including pharmacological and mechanical thrombolysis are advised for successful revascularization of the occluded vessel. However, their therapeutic effect is limited to the acute phase of stroke onset only. This often results in the exclusion of a significant number of patients who are unable to reach within the therapeutic window. Advances in neuroimaging technologies have allowed better assessment of salvageable penumbra and occluded vessel status. Improvement in diagnostic tools and the advent of intravascular interventional devices such as stent retrievers have expanded the potential revascularization window. Clinical studies have demonstrated positive outcomes of delayed revascularization beyond the recommended therapeutic window. This review will discuss the current understanding of ischemic stroke, the latest revascularization doctrine, and evidence from clinical studies regarding effective delayed revascularization in ischemic stroke.

Chronic Phase Survival Rate in Stroke Patients With Severe Functional Limitations According to the Frequency of Rehabilitation Treatment

OBJECTIVE

To investigate the chronic phase survival rate according to the frequency of rehabilitation treatment in the acute and subacute phases in stroke patients with severe functional limitations.

DESIGN

A retrospective longitudinal cohort study.

SETTING

Population-based study using the Korean National Health Insurance Database from 2007 to 2018.

PARTICIPANTS

We enrolled 593 patients who experienced stroke in 2009 with national disability registration (NDR) grade of 3 or less (N=593).

INTERVENTION

Not applicable.

MAIN OUTCOME MEASURES

The frequencies of rehabilitation treatment within 24 months after stroke were categorized into none, 1-50, 51-200, 201-400, and >400 treatments based on requests made to the Health Insurance Review and Assessment Service. As a dependent variable, we assessed all-cause mortality from 24 to 120 months after stroke.

RESULTS

The study enrolled 283 patients in NDR grade 1 (the most severe), 158 in grade 2, and 152 in grade 3. Groups with more severe functional limitations showed a lower chronic phase survival rate (P<.001). The groups with higher frequencies of rehabilitation treatment in the acute and subacute phases showed a higher chronic phase survival rate (P<.001). In the Cox regression analysis, a higher degree of functional limitation, lower frequency of rehabilitation treatment, older age, male sex, and chronic kidney disease were independent risk factors for chronic phase mortality in stroke patients with severe functional limitations.

CONCLUSIONS

A high frequency of rehabilitation treatment in the acute and subacute phases was associated with the long-term survival of stroke patients with severe functional limitations.

The moderating role of caregiver preparedness on the relationship between depression and stroke-specific quality of life in stroke dyads: a longitudinal study

AIMS

To examine the moderating role of caregiver preparedness on the association between stroke survivors' depression and stroke-specific quality of life dimensions.

METHODS AND RESULTS

We used a multilevel modelling approach to analyse trajectories of change in the eight Stroke Impact Scale 3.0 subscales [i.e. strength, communication, mobility, activities of daily living (ADL)/instrumental activities of daily living (IADL), memory, emotion, hand function, participation] using Hierarchical Linear Modeling. Caregiver preparedness significantly moderated the association between survivor depressive symptoms and survivor communication (B = -0.95, P < 0.01), mobility (B = -0.60, P < 0.05), and ADL/IADL (B = -0.73, P < 0.01) at baseline; linear change for strength (B = 0.83, P < 0.05) and communication (B = 0.66, P < 0.05); and quadratic change for strength (B = -0.19, P < 0.01). Although caregiver preparedness did not significantly moderate the association between survivor depressive symptoms and strength at baseline, there was a significant moderating effect for change over time. Higher levels of caregiver preparedness were significantly associated with higher survivor scores of emotion, hand function, and participation at baseline.

CONCLUSIONS

Including immediate caregivers in the care process, through a psycho-educational training, would mean having better-prepared caregivers and consequently more-healthy stroke survivors. Given that preparedness includes coping with stress, responding and managing emergencies, assessing help and information may require tailored interventions aimed at improving the caregivers' skills and knowledge about stroke survivors' management.

Development of a novel body weight support system for gait rehabilitation

Modern rehabilitation processes for neurological patients have been widely assisted by robotic structures, with continuous research and improvements. The use of robotic assistance in rehabilitation is a consolidated technique for upper limb training sessions. However, human gait robotic rehabilitation still needs further research and development. Based on that, this paper deals with the development of a novel active body weight support (BWS) system integrated with a serious game for poststroke patients. This paper starts with a brief review of the state of the art of applied technologies for gait rehabilitation. Next, it presents the obtained mathematical model followed by multibody synthesis techniques and meta-heuristic optimization to the proposed device. The control of the structure is designed using proportional integral derivative (PID) controllers tuned with meta-heuristic optimization and associated with a suppression function to perform assist-as-needed actions. Then, the prototype is integrated with a serious game designed specifically for this application. Finally, a pilot study is conducted with the structure and healthy volunteers. The results obtained show that the mobility of the novel BWS is as expected and the proposed system potentially offers a novel tool for gait training.

Physical Activity, Psychological and Functional Outcomes in Non-Ambulatory Stroke Patients during Rehabilitation-A Pilot Study

Despite the extensive literature on stroke rehabilitation, there are few studies that comprehensively show non-ambulatory stroke patients. The aim of the study was to explore the dynamics of the change in physical activity (PA), psychological and functional outcomes, and the correlation between them in non-ambulatory patients during early in-patient post-stroke rehabilitation. Measurements were taken on 21 participants at the beginning of and 6 weeks post-conventional rehabilitation with the Barthel Index (BI), Berg Balance Scale (BBS), Trunk Control Test (TCT), Stroke Impact Scale (SIS), General Self-Efficacy Scale, Stroke Self-Efficacy Questionnaire (SSEQ), the original scale of belief in own impact on recovery (BiOIoR), Hospital Anxiety and Depression Scale, Acceptance of Illness Scale and when the patient could walk—Time Up & Go and 6 Minute Walk Test. Daily PA was assessed over 6 weeks using a Caltrac accelerometer. Only outcomes for BI, BBS, TCT, SIS, and SSEQ significantly improved 6 weeks post-rehabilitation. PA energy expenditure per day significantly increased over time (p < 0.001; effect size = 0.494), but PA only increased significantly up to the third week. PA change was correlated with BiOIoR post-treatment. Self-efficacy in self-management mediated improvement in SIS. The BiOIoR and confidence in self-management could be important factors in the rehabilitation process.

Pathophysiology and Current Drug Treatments for Post-Stroke Depression: A Review

Post-stroke depression (PSD) is a biopsychosocial disorder that affects individuals who have suffered a stroke at any point. PSD has a 20 to 60 percent reported prevalence among stroke survivors. Its effects are usually adverse, can lead to disability, and may increase mortality if not managed or treated early. PSD is linked to several other medical conditions, including anxiety, hyper-locomotor activity, and poor functional recovery. Despite significant awareness of its adverse impacts, understanding the pathogenesis of PSD has proved challenging. The exact pathophysiology of PSD is unknown, yet its complexity has been definitively shown, involving mechanisms such as dysfunction of monoamine, the glutamatergic systems, the gut-brain axis, and neuroinflammation. The current effectiveness of PSD treatment is about 30-40 percent of all cases. In this review, we examined different pathophysiological mechanisms and current pharmacological and non-pharmacological approaches for the treatment of PSD.

Added value of patient-reported outcome measures (PROMs) after an acute stroke and early predictors of 90 days PROMs

Introduction

Value-based health care represents a patient-centered approach by valuing Patient-Reported Outcome Measures (PROMs). Our aim was to describe the additional value of PROMs after an acute stroke over conventional outcome measures and to identify early predictors of poor PROMs.

Methods

Acute stroke patients discharged from a tertiary care hospital followed by a web/phone-based PROMs collection program in the post hospitalization phase. Main PROMs involve anxiety and depression (HADS) (each defined by HADS ≥ 10) and global physical (PHY-) and mental (M-) health (PROMIS-10). PROMIS cut-off raw values of normality were: PHY-PROMIS ≥ 13 and M-PROMIS ≥ 11. An overall health status (OHS) from 0 to 100 was also determined. PROMs related to the different modified Rankin Scale (mRS) grades were defined. Early predictors of PROMs were evaluated.

Results

We included 1321 stroke patients, mean age 75 (± 8.6) and 55.7% male; 77.7% returned home. Despite a favorable mRS at 3 months (< 3), a relevant rate of patients considered without symptoms or with mild disability showed unfavorable results in the measured PROMs (8% unfavorable OHS, 15% HAD-depression, 12.1% HAD-anxiety, 28.7% unfavorable M-PROMIS and 33.1% unfavorable PHY-PROMIS results). Along follow-up, only PHY-PROMIS and OHS showed significant improvement (p < 0.01 and 0.03, respectively). The multivariate analysis including discharge variables showed that female sex, higher discharge mRS and discharge to socio-rehabilitation-center (SRC) were independent predictors of unfavorable results in PROMs (p < 0.01). When adding 7 days PROMs results, they emerged as the strongest predictors of 3 months PROMs.

Conclusions

A high proportion of stroke patients show unfavorable results in PROMs at 3 months, even those with favorable mRS, and most results obtained by PROMs during follow-up continued to indicate alterations. Female sex, mRS and discharge to SRC predicted unfavorable results in PROMs, but the strongest predictors of 3 months PROMs were the results of the 7 days PROMs.

The longitudinal course of anxiety, depression and apathy through two years after stroke

OBJECTIVE

Estimate the prevalence of anxiety disorders, depressive disorders and apathy two years after stroke, examine their longitudinal course, describe the course of psychological distress through two years after stroke, and evaluate Hospital Anxiety and Depression Scale HADS-A and HADS-D cut-off scores of ≥4 and ≥ 8 for detection of anxiety and depressive disorders two years after stroke.

METHODS

In a longitudinal cohort study of 150 consecutive stroke patients in a stroke unit, 103 were assessed four months and 75 two years after stroke. Anxiety and depression disorders and symptoms were assessed by the Structured Clinical Interview for DSM-IV and HADS, apathy by the Apathy Evaluation Scale.

RESULTS

Prevalence of at least one anxiety disorder or one depressive disorder decreased from four months to two years (23% vs 9%, P = 0.026, 19% vs 10%, P = 0.17). Apathy remained stable at 48% vs 50%. After two years, 80%, 79% and 19% of those with anxiety, depression or apathy at four months had recovered. Recovery-rates among patients with anxiety were 83% for panic disorder, 60% for generalized anxiety disorder (GAD), and 50% for social phobia.

CONCLUSIONS

In contrast to apathy, recovery from anxiety and depression was high. About half of the patients with GAD, social phobia or agoraphobia did not recover. Co-morbid depression and apathy at four months implied a high risk for not recovering at two years. HADS-A and HADS-D cut-off scores of ≥8 were feasible for detection of anxiety and depression disorders two years after stroke.

Does Non-Immersive Virtual Reality Improve Attention Processes in Severe Traumatic Brain Injury? Encouraging Data from a Pilot Study

Traumatic brain injury (TBI) is a sudden injury that causes damage to the brain. Rehabilitation therapies include specific training, such as attention process training (APT) programs using either standard or innovative approaches. The aim of this study is to evaluate the effects of a non-immersive virtual reality-based attention training to stimulate attention processes and mood in TBI patients. Thirty subjects with TBI were enrolled at the Neurorehabilitation Unit of the IRCCS Neurolesi Center and divided into either the Conventional Attention Process Training Group (C_APT: n = 15) or the Virtual-Based Attention Processes Training Group (VB_APT: n = 15), treated with the Virtual Reality Rehabilitation System (VRRS-Evo). All of the patients were evaluated with a specific psychometric battery before (T0) and after the end (T1) of each program. We found statistically significant differences between the two groups, in particular concerning global cognitive status (p < 0.02), attention processes (p < 0.03), depression symptoms (p < 0.04) and visual attention (p < 0.01). Experimental intragroup analysis showed great statistical significances in all psychometric tests, i.e., the Montreal Cognitive Assessment (p < 0.0006), Attention Matrices (p < 0.0007), the Hamilton Rating Scale-Depression (p < 0.004), the Trail Making Test-A (p < 0.0007), the Trail Making Test-B (p < 0.0007), and the Trail Making test-BA (p < 0.007). Our results suggest that non-immersive virtual reality may be a useful and effective approach for the attention processes recovery and mood of TBI patients, leading to better cognitive and behavioral outcomes.

After 55 Years of Neurorehabilitation, What Is the Plan?

Neurological disorders often cause severe long-term disabilities with substantial activity limitations and participation restrictions such as community integration, family functioning, employment, social interaction and participation. Increasing understanding of brain functioning has opened new perspectives for more integrative interventions, boosting the intrinsic central nervous system neuroplastic capabilities in order to achieve efficient behavioral restitution. Neurorehabilitation must take into account the many aspects of the individual through a comprehensive analysis of actual and potential cognitive, behavioral, emotional and physical skills, while increasing awareness and understanding of the new self of the person being dealt with. The exclusive adoption by the rehabilitator of objective functional measures often overlooks the values and goals of the disabled person. Indeed, each individual has their own rhythm, unique life history and personality construct. In this challenging context, it is essential to deepen the assessment through subjective measures, which more adequately reflect the patient’s perspective in order to shape genuinely tailored instead of standardized neurorehabilitation approaches. In this overly complex panorama, where confounding and prognostic factors also strongly influence potential functional recovery, the healthcare community needs to rethink neurorehabilitation formats.

Incidence of Poststroke Depression in Patients With Poststroke Dysphagia

PURPOSE

Poststroke dysphagia and poststroke depression (PSD) can have devastating effects on stroke survivors, including increased burden of care, higher health care costs, poor quality of life, and greater mortality; however, there is a dearth of research examining depression in patients diagnosed with dysphagia after stroke. Thus, we aimed to study the incidence of PSD in patients with poststroke dysphagia to provide foundational knowledge about this patient population.

METHOD

We conducted a retrospective, cross-sectional study of individuals with a primary diagnosis of acute ischemic stroke (AIS) and secondary diagnoses of dysphagia and/or depression using administrative claims data from the 2017 Medicare 5% Limited Data Set.

RESULTS

The proportion of depression diagnosis in patients with poststroke dysphagia was significantly higher than the proportion of depression diagnosis in those without poststroke dysphagia during acute hospitalization: 12.01% versus 9.52%, respectively (p = .003).

CONCLUSIONS

Our results demonstrated that persons with poststroke dysphagia were as, or slightly more, likely to have PSD compared to the general stroke population, and to our knowledge, they establish the first reported incidence of PSD in Medicare patients with dysphagia after AIS. Future research is warranted to further explore the effects of PSD on poststroke dysphagia.

Effects of wheel-running on anxiety and depression-relevant behaviours in the MCAO mouse model of stroke: moderation of brain-derived neurotrophic factor and serotonin receptor gene expression

Stroke continues to be a major cause of mortality globally. Post-stroke treatment is complicated by the heterogenous nature of pathology and the emergence of secondary psychological symptoms are an additional challenge to the recovery process. Poststroke depression (PSD) is a common co-morbidity and is a major impediment to recovery. While selective serotonin reuptake inhibitors (SSRIs) have proven to be clinically efficacious in treating PSD, the pathogenic processes that underlie the manifestation of depressive mood post-stroke remains unclear. Furthermore, the use of SSRIs is associated with risks of intracerebral haemorrhage, so alternative treatment options need to be continuously explored. Exercise has been demonstrated to be beneficial for improving mood in humans and preclinical models of neurological conditions. Little is known of the mood-related benefits of physical exercise post-stroke. Using the middle cerebral artery occlusion (MCAO) mouse model of cerebral ischaemia, we investigated whether behavioural deficits emerge post-MCAO and could be rescued by voluntary wheel-running. We report that MCAO induced hypo-locomotion and anhedonia-related behaviours, with some improvements conferred by wheel-running. Serotonin transporter gene expression was increased in the MCAO hippocampus and frontal cortex, but this increase remained despite wheel-running. Wheel-running associated up-regulation of BDNF gene expression was unaffected in MCAO mice, reflecting conservation of key neuroplasticity molecular pathways. Taken together, our results highlight the need for further research into serotonergic modulation of the affective symptoms of stroke.

Effects of Social Distancing on Quality of Life and Emotional-Affective Sphere of Caregivers and Older Patients Hospitalized in Rehabilitation Departments during COVID-19 Quarantine: An Observational Study

During the COVID-19 emergency, institutional social distancing conditions were established, preventing family and caregivers’ access to rehabilitation departments. Our study goal was to assess inpatients’ and caregivers’ anxiety, depression, and Quality of Life (QoL) during the Italian lockdown due to the pandemic. We investigated anxiety, depression, and QoL in 53 patients and 51 caregivers, using the Beck Anxiety Inventory (BAI), the Beck Depression Inventory-II (BDI-II), and the Short Form 36 Health Survey (SF36). These questionnaires were given to patients after one (T0) and two months (T1) since the hospitalization. The BAI showed that anxiety was moderate for 7.5% of patients and 23.5% of caregivers, and severe for 35.8% of patients and 17.6% of caregivers. The BDI found moderate depression in 11.3% of patients and 15.7% of caregivers, and severe depression in 34.0% of patients and 9.8% of caregivers. Depression was higher in patients than caregivers, while no differences were detected in anxiety. Compared to normative data, patients’ QoL declined in all eight SF36 dimensions, while caregivers’ QoL declined only in social, emotional, and mental components. Unexpectedly, patients still hospitalized at T1 showed significant improvements in both anxiety and three QoL subscores. These findings emphasize the importance of psychological support for patients and their families.

A Microanalysis of Mood and Self-Reported Functionality in Stroke Patients Using Ecological Momentary Assessment

Post-stroke depression has been repeatedly associated with the degree of functional and cognitive impairment. The present study aimed to conduct a microanalysis on this association and examined the association between mood and self-reported functionality in 20 stroke patients (6 females, age: M = 59.9, SD = 5.2) using ecological momentary assessments (EMA), a structured diary method capturing moment-to-moment variations. Mood and self-reported functionality were recorded via a smartphone-app eight times a day for seven consecutive days during inpatient rehabilitation care. The patients answered on average to 73.2% of the received prompts. Variability in patients' responses was caused by differences both between and within patients. Multilevel regression analyses revealed that mood and self-reported functionality were significantly associated at the same point in time, but only patients' mood predicted their self-reported functionality at the next assessment point in time-lagged analyses. These results remained stable after controlling for between-person differences as patients' age, staff-ratings of their awareness of illness, and their degree of functional independence. Patients' mood appeared to affect their future ratings of their functionality but not the other way around.

Prediction of Poststroke Depression Based on the Outcomes of Machine Learning Algorithms

Poststroke depression (PSD) is a major psychiatric disorder that develops after stroke; however, whether PSD treatment improves cognitive and functional impairments is not clearly understood. We reviewed data from 31 subjects with PSD and 34 age-matched controls without PSD; all subjects underwent neurological, cognitive, and functional assessments, including the National Institutes of Health Stroke Scale (NIHSS), the Korean version of the Mini-Mental Status Examination (K-MMSE), computerized neurocognitive test (CNT), the Korean version of the Modified Barthel Index (K-MBI), and functional independence measure (FIM) at admission to the rehabilitation unit in the subacute stage following stroke and 4 weeks after initial assessments. Machine learning methods, such as support vector machine, k-nearest neighbors, random forest, voting ensemble models, and statistical analysis using logistic regression were performed. PSD was successfully predicted using a support vector machine with a radial basis function kernel function (area under curve (AUC) = 0.711, accuracy = 0.700). PSD prognoses could be predicted using a support vector machine linear algorithm (AUC = 0.830, accuracy = 0.771). The statistical method did not have a better AUC than that of machine learning algorithms. We concluded that the occurrence and prognosis of PSD in stroke patients can be predicted effectively based on patients' cognitive and functional statuses using machine learning algorithms.

Post-Stroke Depression and Cognitive Aging: A Multicenter, Prospective Cohort Study

Background: This study investigated the impact of post-stroke depression (PSD) on cognitive aging in elderly stroke patients. Methods: This study was an interim analysis of the Korean Stroke Cohort for Functioning and Rehabilitation. Among 10,636 patients with first-ever stroke, a total of 3215 patients with normal cognitive function three months post-stroke were included in the analysis. PSD was defined using the Korean Geriatric Depression Scale Short Form (K-GDS-SF) at three months. Cognitive aging was defined as a decline in the Korean version of the Mini-Mental Status Examination (K-MMSE) score to less than the second percentile. Results: The hazard ratio (HR) of PSD for cognitive decline was 2.16 (95% CI, 1.34−3.50, p < 0.01) in the older group (age ≥65 years), and 1.02 (95% CI, 0.50−2.07, n.s.) in the younger group (age <65 years). When the older group was divided by sex, the HR was 2.50 (95% CI, 1.26−4.96, p < 0.01) in male patients and 1.80 (95% CI, 0.93−3.51, n.s.) in female patients. However, women showed a higher incidence of cognitive decline in both the PSD and no PSD groups. Among K-GDS-SF factors, “Negative judgment about the past, present, and future” increased the HR of PSD in older male patients. Conclusions: Early PSD increased the HR for cognitive decline in older stroke patients, mainly in males. Specifically, older male patients with negative thinking were at increased risk of cognitive decline. The findings also suggest that older women may be at risk for cognitive decline. Therefore, preventive interventions for cognitive decline should be tailored differently for men and women.

Efficacy and safety of electroacupuncture for post-stroke depression: a randomized controlled trial

OBJECTIVE

The objective of this study is to evaluate the efficacy and safety of electroacupuncture (EA) treatment for post-stroke depression (PSD).

METHODS

This study was a single-center, single-blinded, parallel-arm randomized controlled trial. In total, 65 patients with PSD were randomly allocated into EA and sham EA groups. Treatment was administered at GV20, Sishencong, SP6, LR3 and BL18 in both groups. The EA group received EA treatment, while the sham EA group received sham EA treatment using the Park device. Treatment was given three times a week for 4 weeks. The primary outcome was the Hamilton Rating Scale for Depression (HRSD). Secondary outcomes included the Zung Self-Rating Depression Scale (SDS), National Institutes of Health Stroke Scale (NIHSS), Barthel Daily Living Index (BI) and depression scale of traditional Chinese medicine (TCM). Primary and secondary outcomes were assessed at baseline, week 2 after treatment, week 4 after treatment and week 8 of follow-up. Safety assessment was conducted at each visit for 4 weeks of treatment.

RESULTS

Significant differences in HRSD, SDS, NIHSS, BI and TCM scale scores were found in the EA group before and after acupuncture treatment (all p < 0.001). Compared with the sham EA group, HRSD scores improved significantly in the EA group at the end of week 2 (F = 31.33, p < 0.001), week 4 (F = 35.58, p < 0.001) and week 8 after treatment onset (F = 25.03, p < 0.001). Similarly, significant improvements were observed in SDS, NIHSS and BI scores. Two participants in the EA group suffered a local hematoma, while no adverse events were reported in the sham EA group.

CONCLUSION

EA appears to be an efficacious and safe treatment for PSD. According to our results, EA may alleviate depressive symptoms, and improve neurological function and capabilities with respect to activities of daily living (ADLs).

TRIAL REGISTRATION NUMBER

ChiCTR-IOR-17012610 (Chinese Clinical Trial Registry).

Quality of evidence supporting the role of Chinese herbal medicine for the treatment of poststroke depression: A protocol for systematic review and meta-analysis

BACKGROUND

Poststroke depression (PSD) is a syndrome that occurs after stroke. The efficacy of Chinese herbal medicine (CHM) for PSD has also received widespread attention, but there is still a lack of clinical evidence because this overview evaluates the published meta-analyses (MAs)/Systematic reviews (SRs). To provide evidence for the clinical application of CHM in the treatment of PSD.

METHODS

Two researchers searched 7 databases for SRs/MAs which are about randomized controlled trials on CHM for PSD. Two investigators use the systematic review assessment tool (AMSTAR-2), the risk of bias in systematic scale, the list of preferred reporting items for systematic reviews and meta-analysis, and the classification of recommended assessments for evaluation, development and evaluation system to assess the included SRs/MAs.

RESULTS

Our findings will be published in peer-reviewed journals.

CONCLUSION

This study provides evidence-based medical evidence for the impact of CHM on PSD.

REGISTRATION NUMBER

INPLASY202210001.

The etiologies of post-stroke depression: Different between lacunar stroke and non-lacunar stroke

OBJECTIVES

Depression is common after both lacunar stroke and non-lacunar stroke and might be associated with lesion locations as proven by some studies. This study aimed to identify whether lesion location was critical for depression after both lacunar and non-lacunar strokes.

METHODS

A cohort of ischemic stroke patients was assigned to either a lacunar stroke group or a non-lacunar stroke group after a brain MRI scan. Neurological deficits and treatment response was evaluated during hospitalization. The occurrence of depression was evaluated 3 months later. Logistic regressions were used to identify the independent risk factors for depression after lacunar and non-lacunar stroke respectively.

RESULTS

83 of 246 patients with lacunar stroke and 71 of 185 patients with non-lacunar stroke developed depression. Infarctions in the frontal cortex, severe neurological deficits, and a high degree of handicap were identified as the independent risk factors for depression after non-lacunar stroke, while lesion location was not associated with depression after lacunar stroke.

CONCLUSION

The main determinants for depression after lacunar and non-lacunar stroke were different. Lesion location was critical only for depression after non-lacunar stroke.

Effectiveness of mirror therapy on upper limb function, activities of daily living, and depression in post-stroke depression patients

Objectives

This study aims to investigate the effects of mirror therapy (MT) on upper limb function, activities of daily living (ADLs), and depression in post-stroke depression patients.

Patients and methods

Between November 2018 and December 2019, a total of 60 post-stroke patients (33 males, 27 females; mean age: 58.45±11.13 years; range, 35 to 88 years) were included. The patients were randomly divided into either the cosntrol group (n=30) or the MT group (n=30). Regular occupational therapy was provided for the control group (two times per day for 30 min per session, five times per week over four weeks). Occupational therapy and MT were used to treat patients in the mirror group (one 30 min session once per day, five times per week over four weeks). Motor function (Fugl-Meyer Assessment of the Upper Extremity, FMA-UE), ADL (Modified Barthel Index, MBI) and depression (17-item Hamilton Depression Scale, HAMD-17) were used to evaluate the treatment outcomes.

Results

Before treatment, the mean HAMD-17, FMA-UE, and MBI scores showed no significant difference between the two groups (p>0.05). After treatment, the mirror group exhibited more significant improvements than the control group in terms of the mean HAMD-17, FM-UE, and MBI (p<0.05). After four weeks, the mean FMA-UE and MBI scores revealed more significant improvements than the baseline scores in the control group (p<0.01). The mean HAMD-17, FMA-UE, and MBI scores showed more significant improvements than the baseline scores in the MT group (p<0.001).

Conclusion

Based on these results, MT can effectively improve motor function, ADLs, and depression in post-stroke depression patients. The curative effectiveness of MT seems to be more prominent than the regular occupational therapy.

Machine Learning-Based Three-Month Outcome Prediction in Acute Ischemic Stroke: A Single Cerebrovascular-Specialty Hospital Study in South Korea

Background: Functional outcomes after acute ischemic stroke are of great concern to patients and their families, as well as physicians and surgeons who make the clinical decisions. We developed machine learning (ML)-based functional outcome prediction models in acute ischemic stroke. Methods: This retrospective study used a prospective cohort database. A total of 1066 patients with acute ischemic stroke between January 2019 and March 2021 were included. Variables such as demographic factors, stroke-related factors, laboratory findings, and comorbidities were utilized at the time of admission. Five ML algorithms were applied to predict a favorable functional outcome (modified Rankin Scale 0 or 1) at 3 months after stroke onset. Results: Regularized logistic regression showed the best performance with an area under the receiver operating characteristic curve (AUC) of 0.86. Support vector machines represented the second-highest AUC of 0.85 with the highest F1-score of 0.86, and finally, all ML models applied achieved an AUC > 0.8. The National Institute of Health Stroke Scale at admission and age were consistently the top two important variables for generalized logistic regression, random forest, and extreme gradient boosting models. Conclusions: ML-based functional outcome prediction models for acute ischemic stroke were validated and proven to be readily applicable and useful.

Red Blood Cell Indices in Relation to Post-stroke Psychiatric Disorders: A Longitudinal Study in a Follow-up Stroke Clinic

BACKGROUND

Depression and anxiety after stroke are common conditions that are likely to be neglected. Abnormal red blood cell (RBC) indices may be associated with neuropsychiatric disorders. However, the association of RBC indices with post-stroke depression (PSD) and poststroke anxiety (PSA) has not been sufficiently investigated.

METHODS

We aimed to investigate the trajectory of post-stroke depression and anxiety in our follow- up stroke clinic at 1, 3, and 6 months, and the association of RBC indices with these. One hundred and sixty-two patients with a new diagnosis of ischemic stroke were followed up at 1, 3, and 6 months, and underwent Patient Health Questionnaire-9 (PHQ-9) and the general anxiety disorder 7-item (GAD-7) questionnaire for evaluation of depression and anxiety, respectively. First, we used Kaplan-Meier analysis to investigate the accumulated incidences of post-stroke depression and post-stroke anxiety. Next, to explore the association of RBC indices with psychiatric disorders after an ischemic stroke attack, we adjusted for demographic and vascular risk factors using multivariate Cox regression analysis.

RESULTS

Of the 162 patients with new-onset of ischemic stroke, we found the accumulated incidence rates of PSD (1.2%, 17.9%, and 35.8%) and PSA (1.2%, 13.6%, and 15.4%) at 1, 3, and 6 months, respectively. The incident PSD and PSA increased 3 months after a stroke attack. Multivariate Cox regression analysis indicated independent positive associations between PSD risk and higher mean corpuscular volume (MCV) (OR=1.42, 95% CI=1.16-1.76), older age (OR=2.63, 95% CI=1.16-5.93), and a negative relationship between male sex (OR=0.95, 95% CI=0.91-0.99) and PSA.

CONCLUSION

The risks of PSD and PSA increased substantially 3 months beyond stroke onset. Of the RBC indices, higher MCV, showed an independent positive association with PSD.

Prognostic Factors in Neurorehabilitation of Stroke: A Comparison among Regression, Neural Network, and Cluster Analyses

There is a large body of literature reporting the prognostic factors for a positive outcome of neurorehabilitation performed in the subacute phase of stroke. Despite the recent development of algorithms based on neural networks or cluster analysis for the identification of these prognostic factors, the literature lacks a rigorous comparison among classical regression, neural network, and cluster analysis. Moreover, the three methods have rarely been tested on a sample independent from that in which prognostic factors have been identified. This study aims at providing this comparison on a wide sample of data (1522 patients) and testing the results on an independent sample (1000 patients) using 30 variables. The accuracy was similar among regression, neural network, and cluster analyses on the analyzed sample (76.6%, 74%, and 76.1%, respectively), but on the test sample, the accuracy of neural network decreased (70.1%). The three models agreed in identifying older age, severe impairment, unilateral spatial neglect, and total anterior circulation infarcts as important prognostic factors. The binary regression analysis also provided solid results in the test sample, especially in terms of specificity (81.8%). Cluster analysis also showed a high sensitivity in the test sample (82.6%) and allowed a meaningful easy-to-use classification tree to be obtained.

Early screening for post-stroke depression, and the effect on functional outcomes, quality of life and mortality: a protocol for a systematic review and meta-analysis

INTRODUCTION

Post-stroke depression (PSD) is a severe complication of cerebrovascular stroke affecting about one-third of stroke survivors. Moreover, PSD is associated with functional recovery and quality of life (QOL) in stroke survivors. Screening for PSD is recommended. There are, however, differences in the literature on the impact of early screening on functional outcomes. In this systematic review, we synthesise the currently available literature regarding the associations between timing and setting of PSD screening and mortality, QOL and functional outcomes in stroke survivors.

METHODS AND ANALYSIS

We will systematically search electronic databases including PubMed, Embase, APA PsycINFO, Web of Science, Scopus and CINAHL from inception to August 2021. Four reviewers will screen the title and abstract and full-text level records identified in the search in a blinded fashion to determine the study eligibility. Any selection disagreements between the reviewers will be resolved by the study investigator. Data extraction of eligible studies will be conducted by two reviewers using a predefined template. We will complete the quality assessment of included articles independently by two reviewers using the Newcastle Ottawa Scale. Eventual discrepancies will be resolved by the principal investigator.

ETHICS AND DISSEMINATION

Due to the nature of the study design, ethical approval is not required. The systematic review and meta-analysis findings will be published and disseminated in a peer-reviewed journal. Our results will also be disseminated through posters and presentations at appropriate scientific conferences.

PROSPERO REGISTRATION NUMBER

CRD42021235993.

Changes in Gene Expression and Neuroinflammation in the Hippocampus after Focal Brain Ischemia: Involvement in the Long-Term Cognitive and Mental Disorders

Ischemic brain injuries are accompanied by the long-term changes in gene expression in the hippocampus, the limbic system structure, involved in the regulation of key aspects of the higher nervous activity, such as cognitive functions and emotions. The altered expression of genes and proteins encoded by them may be related to the development of post-ischemic psycho-emotional and cognitive disturbances. Activation of neuroinflammation following stroke in the hippocampus has been suggested to play an essential role in induction of long-lasting consequences. Identification of changes in the gene expression patterns after ischemia and investigation of the dynamics of these changes in the hippocampus are the necessary first steps toward understanding molecular pathways responsible for the development of post-stroke cognitive impairments and mental pathologies.

Effects of therapeutic instrumental music performance and motor imagery on chronic post-stroke cognition and affect: A randomized controlled trial

BACKGROUND

The burden of post-stroke cognitive impairment, as well as affective disorders, remains persistently high. With improved stroke survival rates and increasing life expectancy, there is a need for effective interventions to facilitate remediation of neurocognitive impairments and post-stroke mood disorders.

OBJECTIVE

To investigate the effects of Therapeutic Instrumental Music Performance (TIMP) training with and without Motor Imagery on cognitive functioning and affective responding in chronic post-stroke individuals.

METHODS

Thirty chronic post-stroke, community-dwelling participants were randomized to one of three experimental arms: (1) 45 minutes of active TIMP, (2) 30 minutes of active TIMP followed by 15 minutes of metronome-cued motor imagery (TIMP+cMI), (3) 30 minutes of active TIMP followed by 15 minutes of motor imagery without cues (TIMP+MI). Training took place three times a week for three weeks, using a selection of acoustic and electronic instruments. Assessments, administered at two baselines and post-training, included the Trail Making Test (TMT) - Part B to assess mental flexibility, the Digit Span Test (DST) to determine short-term memory capacity, the Multiple Affect Adjective Checklist - Revised (MAACL-R) to ascertain current affective state, and the General Self-Efficacy Scale (GSE) to assess perceived self-efficacy. The Self-Assessment Maniqin (SAM) was also administered prior to and following each training session.

RESULTS

Thirty participants completed the protocol, ten per arm [14 women; mean age = 55.9; mean time post-stroke = 66.9 months]. There were no statistically significant differences between pooled group baseline measures. The TIMP+MI group showed a statistically significant decrease in time from pre-test 2 to post-test on the TMT. The TIMP group showed a significant increase on MAACL sensation seeking scores, as well as on the Valence and Dominance portions of the SAM; TIMP+cMI showed respective increases and decreases in positive and negative affect on the MAACL, and increases on the Valence, Dominance, and Arousal portions of the SAM. No statistically significant association between cognitive and affective measures was obtained.

CONCLUSIONS

The mental flexibility aspect of executive functioning appears to be enhanced by therapeutic instrumental music training in conjunction with motor imagery, possibly due to multisensory integration and consolidation of representations through motor imagery rehearsal following active practice. Active training using musical instruments appears to have a positive impact on affective responding; however, these changes occurred independently of improvements to cognition.

Prevalence and predictors of new onset depression in the acute phase of stroke

INTRODUCTION

Post-stroke depression (PSD) is known to be associated with poor functional outcome and high mortality. There is limited data on the prevalence and associated factors of depression in the acute phase after stroke.

OBJECTIVES

To determine the prevalence of PSD in the acute phase and its correlates among patients with stroke in a tertiary care hospital in Sri Lanka.

METHOD

A cross sectional descriptive study was conducted among patients with stroke admitted to the stroke unit of a tertiary care hospital in Sri Lanka over a 3-year period. Demographic and clinical information was obtained using an interviewer administered questionnaire. Depression was diagnosed using the ICD-10 criteria. Group comparisons were performed using Pearson's Chi-square test and Mann-Whitney U test Multiple logistic regression was used to identify factors associated with PSD.

RESULTS

Of 374 patients, 106 patients experienced moderate to severe PSD, with a prevalence of 28.3 % (95 % CI: 23.8 %-32.9 %). Of them, 54.7 % were females, 49 % were above the age of 60 years, and 79.9 % had ischemic strokes. Female gender (OR-2.77, 95 % CI: 1.46-5.07, P = 0.002), a longer duration of hypertension (OR-1.31, 95 % CI: 1.01-1.721, P = 0.004), strokes involving the temporal lobe (OR-7.25, 95 % CI: 2.81-20.25, P < 0.001) and post-stroke functional disability (OR- O.98, 95 % CI:0.97-0.99, P = 0.001) were associated with PSD on multivariate analysis.

CONCLUSION

More than one fourth of the patients suffered from PSD in the acute phase of stroke. Female gender, longer history of hypertension, physical dependence and temporal lobe strokes were predictive of PSD.

Prevalence of Depression among Stroke Survivors in India: A Systematic Review and Meta-Analysis

OBJECTIVE

To estimate the prevalence of depression among stroke survivors in India.

PARTICIPANTS

Stroke survivors diagnosed with depression.

OUTCOMES

Prevalence of Depression.

METHODS

Cochrane systematic review methods were followed. The literature search was from 1960-2019. We searched the following electronic databases Medline, ERIC, Embase, IndMED, PsycEXTRA, Global Health, Cochrane, CENTRAL Register, Econ Lit, and conference abstracts to identify studies for inclusion. A search strategy was appropriately developed and performed from May 2019 to December 2019. All included studies were assessed for their content and methodological quality using JBI Critical Appraisal Checklist.

RESULTS

A total of 15 studies were included in this study. Prevalence of post-stroke depression in the studies varied from 24% to 90%. The pooled prevalence was 55% (95% CI 43%, 65%) with high heterogeneity (I2=94.83%). Prevalence also varied between the tools (HAMD -60%, GDS -70%, HADS -40%). The overall methodological quality of the included studies was very poor.

CONCLUSION

It is evident from the meta-analysis that about half of those who survive a stroke experience post-stroke depression. The methods and tools used to investigate this was not rigorous and homogeneous. Hence results of this review imply the need to rigorously assess and effectively address post-stroke depression in India. Also, this review recommends future research to ensure methodological quality and generalizability of the study findings. This would help develop scalable, innovative public health intervention for post-stroke depression in the future.

Pharmacological management of post-stroke depression: an update of the evidence and clinical guidance

Introduction: Post-stroke depression (PSD) is common, serious and of considerable high risk of being chronic. Pharmacological treatment is highly recommended (class I recommendation) based on level B evidence. Still, treatment is often insufficient and the diagnosis can be challenging.Areas covered: The present paper is an update on pharmacological treatment of PSD and a review of recent clinical guidelines. To put this into perspective, the authors highlight the risk factors that might help clinicians identify patients with PSD, and discuss pharmacological prevention, functional outcome, and safety of antidepressant treatment in stroke patients.Expert opinion: Although there are still gaps in our knowledge of PSD, the seriousness should not be neglected, and pharmacological treatment should be recommended when relevant. A selective serotonin reuptake inhibitor (SSRI) is first choice, but is not always tolerated or effective. Close follow-up and dose adjustments as well as add-on possibilities are therefore important aspects of treatment as well. Antidepressant treatment prevents PSD but the effect on enhancement of stroke recovery is less clear.