A meta-analysis of poststroke depression risk factors comparing depressive-related factors versus others

Management of suicidality in stroke patients with and without aphasia-a national survey among healthcare professionals in Sweden

PURPOSE

Investigating how stroke healthcare professionals manage suicidality in stroke patients with and without aphasia.

MATERIALS AND METHODS

A cross-sectional survey of 981 professionals in Sweden was conducted.

RESULTS

Nearly 60% of respondents had encountered suicidality in stroke patients without aphasia, while 40% had encountered it in patients with aphasia. SLPs were more likely to meet patients with aphasia and suicidality. Routine screening was rare, while 40% reported that suicidality was assessed when needed. Psychologists, physicians, and social workers were seen as responsible for assessments, with 13% of respondents feeling it was their responsibility to assess suicidality. Less than half of those felt competent to assess patients with aphasia. Aphasia was viewed as a barrier to assessment. Uncertainty was widespread regarding intervention, particularly in patients with aphasia, and there were concerns about the competence to handle such cases when referred to psychiatry. Free-text responses highlighted a perceived lack of competence, tools, and routine procedures for handling suicidality in aphasia, alongside calls for more mental health professionals and better interprofessional collaboration regarding suicidality in stroke rehabilitation.

CONCLUSIONS

Management of suicidality in stroke patients, particularly with aphasia, is surrounded by uncertainty. Greater competence in suicidality, aphasia-friendly communication, and improved interdisciplinary efforts are needed.

Development, validation, and visualization of a novel nomogram to predict depression risk in patients with stroke

BACKGROUND

This study aimed to develop and validate a predictive nomogram model applicable to depression risk in stroke patients.

METHODS

Participants from the NHANES database (n = 1097) were enrolled from 2005 to 2018; 767 subjects were randomly assigned to the training cohort, and the remaining subjects composed the testing cohort. A nomogram containing the optimal predictors identified by the least absolute shrinkage and selection operator (LASSO) and logistic regression methods was constructed to estimate the probability of depression in stroke patients. To evaluate the performance of the nomogram, the area under the receiver operating characteristic curve (AUC), calibration plot, decision curve analysis (DCA) and internal validation were utilized.

RESULTS

Age, family income, trouble sleeping, coronary heart disease, and total cholesterol were included in the nomogram after filtering predictive variables. The AUCs of the nomogram for the training and testing cohorts were 0.782 (95 % CI = 0.742-0.821) and 0.755 (95 % CI = 0.675-0.834), respectively. The calibration plot revealed that the predicted probability was extremely close to the actual probability of depression occurrence in both the training and testing cohorts. DCA revealed that the nomogram model in the training and testing cohorts had a net benefit when the risk thresholds were 0-0.59 and 0-0.375, respectively.

LIMITATIONS

This study was limited by the absence of clinical external validation, which hindered the estimation of the nomogram's external applicability. In addition, this study has a cross-sectional design.

CONCLUSIONS

A novel nomogram was successfully constructed and proven to be beneficial for identifying individuals at high risk for depression among stroke patients.

A cross-sectional study on post-stroke depression and the quality of life

BACKGROUND

Post-stroke depression (PSD) is a common mood disorder associated with stroke. By investigating the differences in life quality factors among stroke survivors, the results of this study offer insights into how to better prevent and manage the onset and progression of depression.

METHODS

This study is a cross-sectional study that selected patients receiving treatment in the Department of Rehabilitation Medicine at Hebei University Affiliated Hospital from September 1 to November 30, 2023. The inclusion criteria for this study were as follows: 1. Age ≥ 18 years; 2. Diagnosis of hemorrhagic or ischemic stroke confirmed by imaging examination. The exclusion criteria included: 1. A history of psychiatric disorders such as depression or anxiety prior to the onset of the illness; 2. History of psychiatric medication use before the onset; 3. Functional impairments, such as speech, cognitive, or consciousness disorders, that hinder cooperation with the survey questionnaire. Ultimately, a total of 131 patients were included in the study. Based on the results of the Patient Health Questionnaire-9 (PHQ-9), patients were divided into the PSD group and the non-PSD group. The primary evaluation metrics included the General Self-Efficacy Scale (GSES), Visual Analogue Scale (VAS), modified Rankin Scale (mRS), and Fatigue Assessment Scale (FAS), allowing for a comparison of demographic, clinical data, and evaluation metrics between the two groups. Statistical analysis was performed using SPSS version 25.0, and GraphPad Prism version 9.0 was used for graphical representations.

RESULTS

The morbidity rate of PSD in this study was 48%, which was slightly higher than the global statistical data. The demographic data did not show any statistical differences in terms of age, sex, history of smoking and drinking, or occupation, but they did show a significant difference in terms of education level (p < 0.05), which was primarily related to low education level in the PSD group. In contrast, the clinical data did not show any differences in terms of stroke type, pathogenic site, or medical history (p > 0.05).

CONCLUSION

In this study, statistical results indicated no significant difference in the mRS between the two groups. However, the GSES, VAS, and FAS showed significant differences. This suggests a strong correlation between GSES, VAS, and FAS with the occurrence of PSD, indicating that these factors may serve as predictors for PSD. In medical practice, focusing on patients' self-efficacy, pain, and fatigue levels could facilitate recovery. When developing rehabilitation plans, it is crucial to minimize patients' feelings of self-defeat, enhance their self-efficacy, and manage fatigue effectively. Furthermore, reinforcing pain management throughout the rehabilitation process may promote more effective patient recovery.

Investigating the Potential Mechanisms and Therapeutic Targets of Inflammatory Cytokines in Post-stroke Depression

Post-stroke depression (PSD) affects approximately one-third of stroke survivors, severely impacting general recovery and quality of life. Despite extensive studies, the exact mechanisms underlying PSD remain elusive. However, emerging evidence implicates proinflammatory cytokines, including interleukin-1β, interleukin-6, tumor necrosis factor-alpha, and interleukin-18, play critical roles in PSD development. These cytokines contribute to PSD through various mechanisms, including hypothalamic-pituitary-adrenal (HPA) axis dysfunction, neurotransmitter alterations, neurotrophic factor changes, gut microbiota imbalances, and genetic predispositions. This review is aimed at exploring the role of cytokines in stroke and PSD while identifying their potential as specific therapeutic targets for managing PSD. A more profound understanding of the mechanisms regulating inflammatory cytokine expression and anti-inflammatory cytokines like interleukin-10 in PSD may facilitate the development of innovative interventions to improve outcomes for stroke survivors experiencing depression.

Correlation between kinetic and kinematic measures, clinical tests and subjective self-evaluation questionnaires of the affected upper limb in people after stroke

Introduction

Assessment of stroke recovery should include multiple sources of information in order to obtain a complete understanding of the individual's rehabilitation progress. Self-evaluation questionnaires' scores do not always correspond to the scores of commonly used clinical evaluation tools. The purpose of this study was to assess the relationship between self-evaluation questionnaires, clinical tests, and kinematic and kinetic analyses of the affected upper limb after stroke, and to determine the correlation between these measures and self-reported general function 2-4 years after the stroke.

Methods

Twenty-six subjects recovering from stroke were included in the study. Spearman's correlation coefficient was used to measure the correlation between Stroke Impact Scale (SIS), Motor activity Log (MAL), Fugl-Meyer Assessment (FMA) and Action Reach Arm Test (ARAT) scores, and kinematic and kinetic analyses. A logistic regression was used to assess the extent to which these measures may predict the participants' functional self-reported status 2-4 years post stroke.

Results

Sections regarding hand function, hand force and general ADL of the self-evaluation questionnaires correlated with kinematic variables. However, only questionnaires that focus on hand function correlated with clinical tests. Mean and maximal hand velocity had the strongest correlations with self-evaluation questionnaires and with the clinical tests, more than other kinematic variables. Self-evaluation questionnaires and clinical tests were found to be correlated with hand kinetic metrics force-to-time ratio and number of force peaks. SIS hand force domain, mean velocity and maximal velocity predicted self-reported general function 2-4 years after the stroke.

Conclusion

Self-evaluation questionnaires should be considered for wider use in the clinical evaluation of a patient's stroke recovery, since they add important information on the individual's functional status, which is not reflected in the clinical tests.

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.

Education Level Modulates the Presence of Poststroke Depression and Anxiety, But It Depends on Age

ABSTRACT

Depression and anxiety are common complications after stroke and little is known about the modulatory roles of education and age. Our study aimed to evaluate the modulatory effects of education level on anxiety and depression after stroke and their effect on each age group. Adults with first stroke took part in this cross-sectional observational clinical study. We used the following instruments: Hospital Anxiety and Depression Scale (HADS), Montreal Cognitive Scale, Pittsburgh Sleep Quality Index, Barthel index, and Functional Independence Measure. There were 89 patients. The mean (SD) age was 58.01 (13) years, mean (SD) years of education was 9.91 (5.22), 55.1% presented depression symptoms and 47.2% anxiety symptoms, 56.2% were young adults and 43.8% were older adults. We identified a negative association between education and anxiety score (r = -0. 269, p = 0.011) and depression score (r = -0.252, p = 0.017). In the linear regression analysis, we found that education is negatively associated with HADS, but this influence was more consistent in young adults. In conclusion, a higher education level reduces the risk of depression and anxiety, but their effect is less consistent in older adults.

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.

Spectrum of neuropsychiatric symptoms in chronic post-stroke aphasia

BACKGROUND

Neuropsychiatric symptoms (NPS) have been insufficiently examined in persons with aphasia (PWA) because most previous studies exclude participants with language and communication disorders.

AIM

To report a two-part study consisting of a literature review and an observational study on NPS in post-stroke aphasia.

METHODS

Study 1 reviewed articles obtained from PubMed, PsycINFO, Google Scholar and Cochrane databases after cross-referencing key words of post-stroke aphasia to NPS and disorders. Study 2 examined language deficits and activities of daily living in 20 PWA (median age: 58, range: 28-65 years; 13 men) with the Western Aphasia Battery-Revised and the Barthel Index, respectively. Informants of these 20 PWA were proxy-evaluated with the Neuropsychiatric Inventory and domain-specific scales, including the Stroke Aphasia Depression Questionnaire-10 item version and the Starkstein Apathy Scale. In addition, an adapted version of the Hospital Anxiety and Depression Scale was directly administered to the PWA themselves. This observational study is based on the baseline assessment of an intervention clinical trial (EudraCT: 2017-002858-36; ClinicalTrials.gov identifier: NCT04134416).

RESULTS

The literature review revealed a broad spectrum of NPS in PWA, including depression, anxiety, apathy, agitation/aggression, eating and sleep disorders, psychosis, and hypomania/mania. These findings alert to the need for improving assessment and treatment approaches of NPS taking into consideration their frequent occurrence in PWA. Study 2 showed that the 20 participants had mild- to-moderate aphasia severity and were functionally independent. A wide range of comorbid NPS was found in the post-stroke aphasic population (median number of NPS: 5, range: 1-8). The majority of PWA (75%) had depressive symptoms, followed by agitation/aggression (70%), irritability (70%), anxiety (65%) and appetite/eating symptoms (65%). Half of them also presented symptoms of apathy, whereas euphoria and psychotic symptoms were rare (5%). Domain-specific scales revealed that 45% of participants had apathy and 30% were diagnosed with depression and anxiety.

CONCLUSION

Concurrent NPS are frequent in the chronic period of post-stroke aphasia. Therefore, further research on reliable and valid assessment tools and treatment for this aphasic population is strongly warranted.

Counseling in Aphasia: Information and Strategies for Speech-Language Pathologists

Purpose The purpose of this tutorial is to provide an overview of mental health concerns of persons with aphasia (PWAs), strategies that speech-language pathologists (SLPs) can use to address the mental health concerns of PWAs within their scope of practice, guidance related to how SLPs can help facilitate access to appropriate mental health services, and suggestions for the future of pre- and postcertification education regarding counseling in aphasia for SLPs. Method This tutorial begins with a case study that is used as a reference point throughout the tutorial. It then introduces the gap in mental health services for PWAs that prompted this work, walks SLPs through common mental health concerns PWAs experience, and provides guidance for SLPs related to counseling techniques they can utilize within their sessions and referral to counseling professionals. We end by reiterating the need for more mental health awareness and training for SLPs and suggestions for incorporating more training related to addressing client mental health concerns and developing effective collaborations with rehabilitation and mental health counselors, as needed. Conclusions The mental health needs of PWAs are not being met. This is partly due to a lack of training in counseling for SLPs and a lack of training in communication techniques for rehabilitation and mental health counselors. With this tutorial, we hope to bring more awareness to the current need for mental health services for PWAs and to provide SLPs with some tools for addressing these needs among their clientele.

Implication of problematic substance use in poststroke depression: an hospital-based study

The prevalence of clinically defined problematic substance use among stroke patients is overlooked and its association with post-stroke depression (PSD) is unknown. Our aims were to: (1) estimate the proportion of stroke patients with a problematic substance use as defined by clinical screening scales; (2) determine the proportion of PSD at three months of follow-up; (3) explore if the baseline severity in substance use and its evolution are independent predictors of PSD. A cohort of first-ever non-severe stroke adult patients was screened at baseline and three months post-stroke using recommended cut-off scores of standardized scales for tobacco, alcohol and cannabis abuse. PSD was defined using the Center of Epidemiological Studies Depression scale score. Out of the 244 eligible patients, 74 (30.3%) presented a problematic substance use, including 21 (8.6%) polydrug abusers. Among these patients, the prevalence of PSD was 50.8%, including 29.5% of severe depression. The severity of tobacco dependence at baseline was found to double the risk (OR 1.59, 95% CI 1.05–2.43) of presenting a PSD, independently of previously reported risk factors. We found no significant evidence for an effect of the evolution in substance use at follow-up. Addictive disorders are part of the critical unmet needs that should be addressed in the management of PSD.

Association between neurological outcome and poststroke comorbid mood and anxiety disorders: A real-life experience

INTRODUCTION

Poststroke depression (PSD) and anxiety (PSA) are prevalent and have a strong impact on functional outcome. Beside stroke severity, little is known on their clinical determinants. This study investigated the association between stroke mechanism, neurological poststroke complications and remaining vascular risk factors and the presence of comorbid PSD and PSA, termed poststroke emotional distress (PSED).

METHODS

This was a retrospective analysis of a prospectively compiled medical records database of consecutive patients evaluated during a follow-up visit 3- to 4-month poststroke. HAD scale was used to define PSED category (PSD+PSA vs. NoPSD+NoPSA). Stroke mechanism and poststroke complications were identified clinically or using appropriate scales. Their association with PSED was tested using a multivariate logistic regression model.

RESULTS

The sample included 2,300 patients (male: 64.8%); 19% had a PSED and 56.39% were free of any depression or anxiety. The most frequent poststroke complications were fatigue/fatigability (58.4%), sleep problems (26.7%), and pain (20.4%). While no association was observed between PSED and stroke mechanism, higher functional disability (OR:1.572), lower cognitive abilities (OR:0.953), sleep problems (OR:2.334), pain (OR:1.478), fatigue/fatigability (OR:2.331), and abnormal movements (OR:2.380) were all independent risk factors. Persisting tobacco consumption (OR:1.360) was the only vascular significant risk factor.

CONCLUSIONS

The frequency of comorbid PSED remains high (1/5 patient) despite improved awareness of these conditions. The association between poststroke complications and the presence of PSED emphasizes the need for standardized neurological and psychological evaluations at follow-up. These results foster the need to improve the management of addictive behaviors to reduce the burden of PSED.

Depressive-, Cognitive- or Stroke-Related Risk Factors of Post-Stroke Depression: Which One Could Better Help Clinicians and Patients?

PURPOSE

Post-stroke depression (PSD) affects one third of stroke survivors, with multiple severe negative consequences. We aim to assess the weight of four different types of clinical risk factors for PSD.

PATIENTS AND METHODS

We conducted a prospective cohort study in a stroke centre. After stroke, patients were assessed for cognitive performances, psychiatric standardized questionnaires and socio-demographic features. They were called three months after and assessed for major depressive episode using DSM criteria.

RESULTS

PSD was diagnosed in 8 of the 59 (13.6%) patients enrolled in the study. After multivariate analysis, only "previous history of depressive episode" remained a significant predictive factor for PSD, the model explaining 19% of the total variance (OR=18.0; p=0.002). Patients with a previous history of depression had a 10-fold increased risk for PSD.

CONCLUSION

Previous history of depression is confirmed as a strong risk factor for PDS and allow the identification of an at-risk sub-group of patients.