Prevalence and Course of Depression During the First Year After Mild to Moderate Stroke

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

BACKGROUND

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

METHODS

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

RESULTS

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

CONCLUSION

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

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.

Depressive Symptoms in Young and Middle-Aged Stroke Patients: A Transition Analysis

BACKGROUND

There is heterogeneity in depressive symptoms. However, latent classes of depressive symptoms and the transition and influences of these in young and middle-aged stroke patients are unclear.

OBJECTIVES

The aim of this study was to identify the latent classes of depressive symptoms and their transition patterns over time and the influencing factors in young and middle-aged stroke patients from stabilization to 6 months after discharge.

METHODS

This is a longitudinal study following the Strengthening the Reporting of Observational Studies in Epidemiology checklist. A total of 272 young and middle-aged stroke participants were recruited from a hospital neurology ward in Henan Province, China. Participants completed a questionnaire on sociodemographic and health information. Latent transition analysis was used to evaluate the transition pattern of latent classes from stabilization to 6 months after discharge and its influencing factors.

RESULTS

One hundred seventy-nine participants were included in the analysis. Three latent classes of depressive symptoms were identified as "mild symptoms," "grief-sleep-fatigue symptoms," and "severe symptoms." Most participants remained in the original latent class from stabilization to 6 months after discharge (probability of 83.8%, 83.8%, and 88.8%). From 3 to 6 months after discharge, the participants with fewer complications were more likely to transition into the mild symptom class.

DISCUSSION

The findings indicate that from stabilization to 6 months after discharge, depressive symptoms in young and middle-aged stroke patients in China transitioned gradually from the severe symptom class to the mild symptom. Patients with fewer numbers of poststroke complications were more likely to transition to the mild symptoms class. Future research should focus on depressive symptoms in early-stage stroke patients and provide sufficient psychological support to patients with a high number of complications.

Fatigue Experiences in People With Stroke

PURPOSE

Fatigue is a major symptom in patients with stroke. Because fatigue is an overarching multidimensional phenomenon, it is important to understand how the characteristics of fatigue change over time. The purpose of this study was to explore how fatigue characteristics change over time in patients with stroke.

DESIGN

This study used a mixed-method observational design.

METHODS

This study is a secondary analysis of data from a previous study, the results of which indicated fatigue to be a prominent symptom. Participants in that study were patients with stroke who met eligibility criteria and provided informed consent. This secondary analysis used data from numeric rating scale scores for fatigue, Functional Assessment of Chronic Illness Therapy-Fatigue Scale scores, fatigue descriptors, and participant comments about fatigue gleaned from transcribed interviews.

RESULTS

Twenty-two patients participated in the study. Thirteen characteristics of fatigue were evaluated. Seven characteristics showed significant improvement ( p < .05) from admission to 1 month follow-up, and six characteristics did not change significantly.

CONCLUSIONS

Fatigue experiences vary over time and have both physical and mental aspects to them.

CLINICAL RELEVANCE TO REHABILITATION NURSING

Nurses may consider providing a quiet environment for physical rest, which may allow the brain to not be distracted by multiple stimuli.

Large-scale lesion symptom mapping of depression identifies brain regions for risk and resilience

Understanding neural circuits that support mood is a central goal of affective neuroscience, and improved understanding of the anatomy could inform more targeted interventions in mood disorders. Lesion studies provide a method of inferring the anatomical sites causally related to specific functions, including mood. Here, we performed a large-scale study evaluating the location of acquired, focal brain lesions in relation to symptoms of depression. Five hundred and twenty-six individuals participated in the study across two sites (356 male, average age 52.4 ± 14.5 years). Each subject had a focal brain lesion identified on structural imaging and an assessment of depression using the Beck Depression Inventory-II, both obtained in the chronic period post-lesion (>3 months). Multivariate lesion-symptom mapping was performed to identify lesion sites associated with higher or lower depression symptom burden, which we refer to as 'risk' versus 'resilience' regions. The brain networks and white matter tracts associated with peak regional findings were identified using functional and structural lesion network mapping, respectively. Lesion-symptom mapping identified brain regions significantly associated with both higher and lower depression severity (r = 0.11; P = 0.01). Peak 'risk' regions include the bilateral anterior insula, bilateral dorsolateral prefrontal cortex and left dorsomedial prefrontal cortex. Functional lesion network mapping demonstrated that these 'risk' regions localized to nodes of the salience network. Peak 'resilience' regions include the right orbitofrontal cortex, right medial prefrontal cortex and right inferolateral temporal cortex, nodes of the default mode network. Structural lesion network mapping implicated dorsal prefrontal white matter tracts as 'risk' tracts and ventral prefrontal white matter tracts as 'resilience' tracts, although the structural lesion network mapping findings did not survive correction for multiple comparisons. Taken together, these results demonstrate that lesions to specific nodes of the salience network and default mode network are associated with greater risk versus resiliency for depression symptoms in the setting of focal brain lesions.

Functional and Cognitive Occupational Therapy (FaCoT) Improves Self-Efficacy and Behavioral-Emotional Status of Individuals with Mild Stroke; Analysis of Secondary Outcomes

BACKGROUND

Mild stroke is characterized by subtle impairments, such as low self-efficacy and emotional and behavioral symptoms, which restrict daily living. Functional and Cognitive Occupational Therapy (FaC_oT) is a novel intervention, developed for individuals with mild stroke.

OBJECTIVES

To examine the effectiveness of FaC_oT compared to a control group to improve self-efficacy, behavior, and emotional status (secondary outcome measures).

MATERIAL AND METHODS

Community-dwelling individuals with mild stroke participated in a single-blind randomized controlled trial with assessments at pre, post, and 3-month follow-up. FaC_oT included 10 weekly individual sessions practicing cognitive and behavioral strategies. The control group received standard care. The New General Self-Efficacy Scale assessed self-efficacy; the Geriatric Depression Scale assessed depressive symptoms; the Dysexecutive Questionnaire assessed behavior and emotional status; and the 'perception of self' subscale from the Reintegration to Normal Living Index assessed participation.

RESULTS

Sixty-six participants were randomized to FaC_oT (n = 33, mean (SD) age 64.6 (8.2)) and to the control (n = 33, age 64.4 (10.8)). Self-efficacy, depression, behavior, and emotional status improved significantly over time in the FaC_oT group compared with the control, with small to large effect size values.

CONCLUSION

The efficacy of FaC_oT was established. FaC_oT should be considered for community-dwelling individuals with mild stroke.

Association between physical activity levels and depressive symptoms in patients with minor ischemic stroke

OBJECTIVE

Post-stroke depression is associated with stroke recurrence and it is necessary to identify its influencing factors. The study aims to determine whether physical activity during hospitalization, as measured by accelerometer, was associated with depression after discharge in patients with minor ischemic stroke.

MATERIALS AND METHODS

This prospective observational study assessed 76 patients with minor ischemic stroke (aged 71.2 years) admitted to an acute care hospital. Depressive symptoms 3 months after discharge from the hospital was assessed using a questionnaire sent by mail. Baseline was set during hospitalization, and accelerometers were used to measure sedentary behavior, light and moderate-to-vigorous physical activities during hospitalization.

RESULTS

Three months after hospital discharge, 14 patients (18.4%) were placed in the depressive symptom group, with significantly more sedentary behavior (p = 0.021), less light physical activity (p = 0.016) and more depressive symptoms during hospitalization (p = 0.005) than in the non-depressive symptom group. Logistic regression analysis showed that sedentary behavior (odds ratio = 1.130, 95% confidence interval = 1.013‒1.281, p = 0.028) and light-intensity physical activity (odds ratio = 0.853, 95% confidence interval = 0.746‒0.976, p = 0.021) were independent factors for depressive symptoms at three months after discharge. Moderate to vigorous physical activity was not an independent factor.

CONCLUSIONS

Sedentary behavior and light-intensity physical activity during hospitalization were associated with depressive symptoms in patients with minor ischemic stroke after discharge. Reducing sedentary behavior and increasing light-intensity physical activity as part of inpatient rehabilitation may help prevent post-stroke depression.

Integrating Metabolomics and Network Analysis for Exploring the Mechanism Underlying the Antidepressant Activity of Paeoniflorin in Rats With CUMS-Induced Depression

Background: Paeoniflorin (PF) represents the major bioactive constituent of the traditional Chinese medicine plant Paeonia suffruticosa (Ranunculaceae), which has a long history as a folk medicine in Asian. Paeoniflorin, a bitter pinene monoterpene glycoside, has antidepressant effects, but its potential therapeutic mechanism has not been thoroughly explored.

Methods: Experimental depression in rats was established by the chronic unpredictable mild stress (CUMS) combined with orphan method, and the efficacy of paeoniflorin on depression was evaluated by the sucrose preference test and open field test. The antidepressant mechanism of paeoniflorin was investigated by metabolomic and network pharmacology. The relevant pathways of biomarkers highlighted in metabolomics were explored, and the possible targets of paeoniflorin in the treatment of depression were further revealed through network analysis. The binding activity of paeoniflorin to key targets was verified by molecular docking.

Results: Metabolomics showed that rats with CUMS-induced depression had urine metabolic disorders, which were reversed by paeoniflorin through the regulation of metabolic pathways. Metabolites that play a key role in the function of paeoniflorin include citric acid, thiamine monophosphate, gluconolactone, 5-hydroxyindoleacetic acid and stachyose. Key predicted targets are SLC6A4, TNF, IL6 and SLC6A3. An important metabolic pathway is the Citrate cycle (TCA cycle).

Conclusion: Network integrative analysis in this study showed that paeoniflorin could improve depressive-like symptoms in model rats with CUMS-induced depression and overall correct the disordered metabolic profile through multiple metabolic pathways.

[Long-term consequences of stroke]

The treatment of stroke has significantly improved over the past two decades, resulting in reduced mortality and morbidity in high-income countries. However, strokes remain the third leading cause of mortality and disability worldwide. In addition to acute care and the prevention of risk factors, treatment of the various persisting disabilities that impact the daily activities and quality of life of patients also remain important. Motor and language deficits affect everyday life most obviously. Other deficits may involve complex movements, sensory, and cognitive functions. Patients also often suffer from anxiety, fatigue, and depression.Established ergotherapeutic, physiotherapeutic, and logopedic programs exist for motor and language deficits for in-patient treatment as well as in the ambulatory setting. The diagnosis and treatment of cognitive impairments and behavioral disorders, however, are largely confined to the early rehabilitation phase. Despite indications of a long-term impairment of quality of life due to cognitive deficits and behavioral disorders, previous study results speak against drug-based antidepressant therapy in in-patient rehabilitation. Individual patient-reported outcomes, supported by screening for cognitive deficits and consideration of individual risk factors and coping strategies, could further improve the treatment of stroke and its long-term burden.

Sleep and Stroke: Opening Our Eyes to Current Knowledge of a Key Relationship

PURPOSE OF REVIEW

To elucidate the interconnection between sleep and stroke.

RECENT FINDINGS

Growing data support a bidirectional relationship between stroke and sleep. In particular, there is strong evidence that sleep-disordered breathing plays a pivotal role as risk factor and concur to worsening functional outcome. Conversely, for others sleep disorders (e.g., insomnia, restless legs syndrome, periodic limb movements of sleep, REM sleep behavior disorder), the evidence is weak. Moreover, sleep disturbances are highly prevalent also in chronic stroke and concur to worsening quality of life of patients. Promising novel technologies will probably allow, in a near future, to guarantee a screening of commonest sleep disturbances in a larger proportion of patients with stroke. Sleep assessment and management should enter in the routinary evaluation of stroke patients, of both acute and chronic phase. Future research should focus on the efficacy of specific sleep intervention as a therapeutic option for stroke patients.

Prevalence and Course of Depression During the First Year After Mild to Moderate Stroke

Background This study examined the prevalence and longitudinal course of depression during the first year after mild to moderate stroke. Methods and Results We identified patients with mild to moderate ischemic stroke or intracerebral hemorrhage (National Institutes of Health Stroke Scale score <16) and at least 1 depression assessment at 3, 6, or 12 months after stroke (n=648, 542, and 533, respectively) from the Brain Attack Surveillance in Corpus Christi project (2014-2016). Latent transition analysis was used to examine temporal profiles of depressive symptoms assessed by the 8-item Patient Health Questionnaire between 3 and 12 months after stroke. Mean age was 65.6 years, 49.4% were women, and 56.7% were Mexican Americans. The prevalence of depression after stroke was 35.3% at 3 months, decreased to 24.9% at 6 months, and remained stable at 25.7% at 12 months. Approximately half of the participants classified as having depression at 3 or 6 months showed clinical improvement at the next assessment. Subgroups with distinct patterns of depressive symptoms were identified, including mild/no symptoms, predominant sleep disturbance and fatigue symptoms, affective symptoms, and severe/all symptoms. A majority of participants with mild/no symptoms retained this symptom pattern over time. The probability of transitioning to mild/no symptoms was higher before 6 months compared with the later period, and severe symptoms were more likely to persist after 6 months compared with the earlier period. Conclusions The observed dynamics of depressive symptoms suggest that depression after stroke tends to persist after 6 months among patients with mild to moderate stroke and should be continually monitored and appropriately managed.