Acute phase factors associated with the course of depression during the first 18 months after first-ever stroke

Post-Stroke Depression in Older Adults: An Overview

Detailed data on post-stroke depression (PSD) in older adults are limited in spite of the high vulnerability of this population to stroke. In fact, PSD prevalence in older adults ranges from 16.0 to 43.9%; however, timing and instruments of evaluation often differ significantly across all available studies. The etiology, genetic and inflammatory factors, as well as structural brain alterations, are claimed as part of a multifaceted mechanism of action in PSD onset. Thus, the aim of this narrative review was to further elaborate on the prevalence, etiology, diagnosis, consequences and treatment of PSD in older adults. The consequences of PSD in older adults may be devastating, including a poor functional outcome after rehabilitation and lower medication adherence. In addition, lower quality of life and reduced social participation, higher risk of new stroke, rehospitalization, and mortality have been reported. In this scenario, treating PSD represents a crucial step to prevent these complications. Both pharmacological and non-pharmacological therapies are currently available. The pharmacological treatment utilizes antidepressant drugs, such as selective serotonin reuptake inhibitors (SSRIs), serotonin-norepinephrine reuptake inhibitors (SNRIs), monoamine oxidase inhibitors (MAOIs), tricyclic antidepressants (TAs) and new multimodal antidepressants (NMAs). Non-pharmacological therapies include psychological interventions and non-invasive brain stimulation techniques, while excluding drug administration. In the general population experiencing PSD, SSRIs (sertraline in particular) are the most prescribed, whereas the combination of antidepressants and psychotherapy is underused. Furthermore, about one-third of patients do not receive treatment for PSD. In regard to older adults with PSD, the possibility of more adverse effects or contraindications to antidepressant prescription due to comorbidities may limit the therapeutic window. Although drugs such as citalopram, escitalopram, sertraline, venlafaxine, and vortioxetine are usually well tolerated by older patients with PSD, the few randomized controlled trials (RCTs) specifically considering older adults with PSD have been conducted with fluoxetine, fluvoxamine, reboxetine, citalopram and nortriptyline, often with very small patient samples. Furthermore, data regarding the results of non-pharmacological therapies are scarce. High-quality RCTs recruiting large samples of older adults are needed in order to better manage PSD in this population. In addition, adequate screening and diagnosis instruments, with reliable timing of evaluation, should be applied.

Factors associated with the effectiveness of immersive virtual therapy in alleviating depressive symptoms during sub-acute post-stroke rehabilitation: a gender comparison

BACKGROUND

The large-scale digitalization of healthcare has induced shifts in patient preferences, prompting the introduction of therapies utilizing novel technologies. In this context, the targeted application of these interventions is deemed as crucial as assessing their overall effectiveness. The aim of this study was to characterize the patient profile who benefited most from immersive virtual reality (VR) therapy.

METHODS

Based on the results from the previous randomized controlled trial study, we employed an exploratory study design to determine the factors associated with the most significant mental health improvement. A secondary analysis was conducted on a sample of 83 participants, with further analysis of participants with elevated depression symptoms, as indicated by a score of > 10 on the 30-item Geriatric Depression Scale (GDS-30). Both groups participated in a similar post-stroke rehabilitation program; however, the experimental group also received additional VR therapy through an immersive VR garden intervention. The GDS-30 was used to assess mood and depressive symptoms, and sociodemographic, cognitive status as well as stroke-related variables were considered as potential factors.

RESULTS

In both the experimental (mean change 5.3) and control groups (mean change 2.8), interventions significantly reduced depressive symptoms, with a more pronounced difference in the experimental group (p < 0.05). When examining gender differences, women exhibited greater improvement in the GDS, with mean between-group differences of 5.0 for the total sample and 6.0 for those with elevated depressive symptoms. Sociodemographic factors, cognitive status, and time from stroke were not found to be factors that alter the effectiveness of VR therapy.

CONCLUSIONS

While VR therapy as an adjunctive treatment for post-stroke rehabilitation seems especially effective for women with elevated depressive symptoms, the results should be interpreted with caution due to the study's small experimental group size. Traditional methods showed reduced effectiveness in women compared to men; thus, developing technologically advanced and gender-specific approaches can lead to more tailored therapy.

TRIAL REGISTRATION

NCT03830372 (February 5, 2019).

Depressive symptoms occurring after stroke by age, sex and socioeconomic status in six population-based studies: Longitudinal analyses and meta-analyses

AIMS

Population-based cohort studies that examined the effects of stroke on depressive symptoms in elderly participants with and without stroke in different countries/regions had yielded scant evidence. The objectives of this multi-cohort study were to identify the relationships between stroke and depressive symptoms and to assess the pooled risks of depressive symptoms in total populations and in stratified samples by age, sex, education levels, and total household income in large-scale studies.

METHODS

The associations in the overall participants in the six cohorts were examined using univariate and multivariable Cox proportional hazards models. The relationships in the population subgroups of the cohorts were determined using multivariable Cox regression models. Crude hazard ratios (HRs) were estimated, and adjusted or time-varying HRs were calculated and then pooled by meta-analyses.

RESULTS

During a median follow-up time of 3.8 (interquartile range [IQR]: 2.2-4.5) -7.9 (IQR: 4.0-8.0) years, 18267 participants out of 62150 participants developed incident cases of depressive symptoms. In the univariate Cox regression analyses, stroke was consistently linked to depressive symptoms across all studies, with HRs ranging from 1.39 (95% confidence interval [CI]: 1.04-1.85) to 1.84 (95% CI: 1.38-2.46). Adjusted HRs varied between 1.19 (95% CI: 0.89-1.59) and 1.48 (95% CI: 1.00-1.98), and time-varying HRs remained largely unchanged. According to the meta-analysis of overall HRs, stroke survivors were more likely than non-survivors to develop depressive symptoms (pooled HR: 1.35 (95% CI: 1.26-1.44)).

CONCLUSIONS

In general, stroke significantly increased the risk of depressive symptoms in total and stratified participants in most cohorts. In the future, extensive research will be needed to assess the variations in associations between various population subgroups.

Active Music Therapy Following Acute Stroke: A Single-Arm Repeated Measures Study

Experiencing a stroke can lead to difficulties with emotion regulation and mood disorders like depression. It is well documented that poststroke depression (PSD) affects a third of all stroke survivors. Higher levels of depression and depressive symptoms are associated with less efficient use of rehabilitation services, poor functional outcomes, negative impacts on social participation, and increased mortality. Mood in the acute phases of stroke recovery may be a key factor influencing the depression trajectory with early depression predicting poor longitudinal outcomes. The purpose of the study was to examine the effect of one active music therapy (AMT) treatment on mood following a first-time ischemic stroke during acute hospitalization. Forty-four adults received AMT defined as music-making interventions that elicit and encourage active participation. The Faces Scale was used to assess mood immediately prior to and following the treatment. A significant change in mood was found following one treatment. Comment analysis indicated that participants viewed music therapy as a positive experience. Findings here support the use of brief AMT to provide early psychological support to stroke survivors. Continued investigation into the role of music therapy in early stroke recovery is recommended.

Discriminative factors for post-stroke depression

BACKGROUND

Depression is the most common mood disorder following stroke. It can negatively affects different domains of patient's life. The present study aimed to explore demographic and clinical predictors of post stroke depression and determine discriminative cognitive, motor, and functional factors in stroke patients with and without depression.

METHODS

In a cross sectional study, 100 patients with stroke were investigated. Measurements consisted of Beck Depression Inventory-II, Trail Making Test A & B, Digit Span Subtest of Wechsler Memory Scale, Motricity Index (arm and leg motor), Trunk Control Test, Barthel Index, and Lawton Instrumental Activities of Daily Living. Demographics and clinical data including educational level, marital status, limb affected, cigarette smoking habits, diabetes mellitus, cardiac diseases, and blood pressure were also collected.

RESULTS

Multivariate logistic regression revealed that college level of education (OR = 8.78, 95% CI: 2.65-29.11, P < 0.001) and cardiac diseases (OR = 3.11, 95% CI: 1.19-8.13, P < 0.001) were significant demographic and clinical predictors of post stroke depression. Using stepwise discriminant function analysis, basic activities of daily living and trunk control with 88.0% classification accuracy, 81.1% sensitivity, and 95.7% specificity were as the best discriminators of post stroke depression.

CONCLUSIONS

Rehabilitation experts working with patients with stroke should pay special attention to trunk control and basic activities of daily living for preventing consequences of PSD particularly in those with higher educational level and cardiac diseases.

Long-term performance of instrumental activities of daily living in young and middle-aged stroke survivors-Impact of cognitive dysfunction, emotional problems and fatigue

Background

With an upward trend in the number of people who return home to independent living after stroke, the ability to perform more complex activities is becoming an increasingly important long-term outcome after stroke. Although associations between Instrumental Activities of Daily Living (IADL) and cognitive dysfunction, emotional problems, and fatigue have been reported, less is known about the long-term impact of these stroke consequences on the performance of everyday activities in young and middle-aged stroke survivors.

Objective

To explore the impact of cognitive dysfunction, emotional problems, and fatigue on long-term performance of instrumental activities of daily living in young and middle-aged stroke survivors

Method

Data on stroke survivors, aged 18–69 at index stroke, were collected from the Sahlgrenska Academy Study on Ischaemic Stroke. IADL outcome was assessed using the Frenchay Activities Index (FAI), and the impact of chosen variables was assessed using Spearman´s rank-order correlation and logistic regression.

Results

Seven years after index stroke, 296 stroke survivors (median age of 64) were included in this study. Cognitive dysfunction showed the strongest correlations with FAI outcome and independently explained worse outcome on FAI summary score and the domain of work/leisure activities. Fatigue was independently explanatory of worse outcome on FAI summary score and domestic chores, while depressive symptoms independently explained worse outcome on work/leisure activities. In a subgroup with only those participants who had no or minimal residual neurological deficits at follow-up (NIHSS score 0), cognitive dysfunction independently explained worse outcome on FAI summary score and work/leisure activities. Depressive symptoms independently explained worse outcome on FAI summary score and domestic chores.

Conclusion

Our results show that in young and middle-aged stroke survivors, cognitive dysfunction, depressive symptoms, and fatigue negatively impact performance of IADL even at seven years post stroke onset. Further, we have shown that an impact of both cognitive dysfunction and depressive symptoms can be found also among stroke survivors with mild or no remaining neurological deficits.

The association between mean platelet volume levels and poststroke depression

OBJECTIVE

High levels of mean platelet volume (MPV) had been found in depression subjects. We sought to examine the relationship between MPV and poststroke depression (PSD).

METHODS

One hundred and eighty-five patients with acute ischemic stroke were enrolled in our study. Peripheral venous blood samples were drawn at admission and MPV levels were measured by the automated hematology analyzer. Patients with a HAMD-17 score >7 were diagnosed as having PSD.

RESULTS

We found that 60 patients (32.4%) developed PSD, the MPV levels in PSD patients were significantly higher (9.3 ± 1.8 fl) compared to non-PSD patients (8.5 ± 1.6 fl). High MPV levels (≥9.1 fl) were independently correlated with PSD (OR 2.762, 95% CI 1.138-6.702, p = 0.025).

CONCLUSIONS

Patients with higher levels of MPV at admission were correlated with the development of PSD at 1 month after stroke and might be a predictor of its presence.

Impact of balance on functional independence after stroke: A cross-sectional study at rehabilitation settings in Nigeria

BACKGROUND

Functional independence is often compromised after stroke and its restoration is one of the goals of stroke rehabilitation.

OBJECTIVE

This study assessed the impact of balance on functional independence after stroke.

METHODS

Ninety-five stroke patients undergoing physical rehabilitation at two health institutions in Nigeria participated in the study. Balance and functional independence were respectively assessed with the Berg Balance Scale and the Barthel Index. Binary logistic regression analysis was conducted to examine the independent impact of balance on functional independence while controlling for participants' age, sex, side of hemiparesis and post-stroke duration.

RESULTS

Mean±SD age of the participants was 58.4±13.1 years and females were more (f = 48; %  = 50.5). The regression model from the binary regression analysis explained 73.2% (Nagelkerke R2 = 0.732) of the variance in functional independence. Good balance function was found to independently and significantly (P <  0.01) increase the likelihood of being functionally independent after stroke (Odds ratio = 1.33; 95% CI = 1.11 to 1.58).

CONCLUSION

The goal of attaining functional independence after stroke may depend to a significant extent on good balance function irrespective of the stroke survivor's age, sex and post-stroke duration.

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.

A Study of the Brain Abnormalities of Post-Stroke Depression in Frontal Lobe Lesion

Post stroke depression (PSD) is a serious complication of stroke. Brain imaging is an important method of studying the mechanism of PSD. However, few studies have focused on the single lesion location. The aim of this study was to investigate the brain mechanism of frontal lobe PSD using combined voxel-based morphometry (VBM) and functional magnetic resonance imaging (fMRI). In total, 30 first-time ischemic frontal lobe stroke patients underwent T1 weighted MRI and resting-state fMRI scans. Clinical assessments included the 24-item Hamilton Rating Scale for Depression, the National Institutes of Health Stroke Scale, and the Mini-Mental State Examination. In our result, decreased gray matter (GM) volume in patients was observed in the prefrontal cortex, limbic system and motor cortex. The anterior cingulate cortex, selected as a seed to perform connectivity analyses, showed a greatly decreased functional connectivity with the prefrontal cortex, cingulate cortex, and motor cortex, but had an increased functional connectivity with the hippocampus gyrus, parahippocampa gyrus, insular, and amygdala. Stroke lesion location reduces excitability of brain areas in the ipsilateral brain. PSD affects mood through the brain network of the prefrontal-limbic circuit. Some brain networks, including motor cortex and the default mode network, show other characteristics of PSD brain network.

Imaging Markers of Post-Stroke Depression and Apathy: a Systematic Review and Meta-Analysis

Several brain imaging markers have been studied in the development of post-stroke depression (PSD) and post-stroke apathy (PSA), but inconsistent associations have been reported. This systematic review and meta-analysis aims to provide a comprehensive and up-to-date evaluation of imaging markers associated with PSD and PSA. Databases (Medline, Embase, PsycINFO, CINAHL, and Cochrane Database of Systematic Reviews) were searched from inception to July 21, 2016. Observational studies describing imaging markers of PSD and PSA were included. Pooled odds ratios (OR) and 95% confidence intervals (CI) were calculated to examine the association between PSD or PSA and stroke lesion laterality, type, and location, also stratified by study phase (acute, post-acute, chronic). Other imaging markers were reviewed qualitatively. The search retrieved 4502 studies, of which 149 studies were included in the review and 86 studies in the meta-analyses. PSD in the post-acute stroke phase was significantly associated with frontal (OR 1.72, 95% CI 1.34–2.19) and basal ganglia lesions (OR 2.25, 95% CI 1.33–3.84). Hemorrhagic stroke related to higher odds for PSA in the acute phase (OR 2.58, 95% CI 1.18–5.65), whereas ischemic stroke related to higher odds for PSA in the post-acute phase (OR 0.20, 95% CI 0.06–0.69). Frequency of PSD and PSA is modestly associated with stroke type and location and is dependent on stroke phase. These findings have to be taken into consideration for stroke rehabilitation programs, as this could prevent stroke patients from developing PSD and PSA, resulting in better clinical outcome.

Risk Factors for Post-stroke Depression: A Meta-analysis

Background: Stroke not only impacts patients physically but also economically. Post-stroke depression (PSD), as a common complication of stroke, always obstructs the process of stroke rehabilitation. Accordingly, defining the risk factors associated with PSD has extraordinary importance. Although there have been many studies investigating the risk factors for PSD, the results are inconsistent.

Objectives: The objectives of this study were to identify the risk factors for PSD by evidence-based medicine.

Data sources: A systematic and comprehensive database search was performed of PubMed, Medline, CENTRAL, EMBASE.com, the Cochrane library and Web of Science for Literature, covering publications from January 1, 1998 to November 19, 2016.

Study Selection: Studies on risk factors for PSD were identified, according to inclusion and exclusion criteria. The risk of bias tool, described in the Cochrane Handbook version 5.1.0, was used to assess the quality of each study. Meta-analysis was performed using RevMan 5.3 software.

Results: Thirty-six studies were included for review. A history of mental illness was the highest ranking modifiable risk factor; other risk factors for PSD were female gender, age (<70 years), neuroticism, family history, severity of stroke, and level of handicap. Social support was a protective factor for PSD.

Conclusion: There are many factors that have effects on PSD. The severity of stroke is an important factor in the occurrence of PSD. Mental history is a possible predictor of PSD. Prevention of PSD requires social and family participation.