General and disease-specific risk factors for depression after ischemic stroke: a two-step Cox regression analysis

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.

Risk factor profiles for depression following childbirth or a chronic disease diagnosis: case-control study

BACKGROUND

Progress towards understanding the aetiology of major depression is compromised by its clinical heterogeneity. The variety of contexts underlying the development of a major depressive episode may contribute to such heterogeneity.

AIMS

To compare risk factor profiles for three subgroups of major depression according to episode context.

METHOD

Using self-report questionnaires and administrative records from the UK Biobank, we characterised three contextual subgroups of major depression: postpartum depression (3581 cases), depression following diagnosis of a chronic disease (409 cases) and a more typical (named heterogeneous) major depression phenotype excluding the two other contexts (34 699 cases). Controls with the same exposure were also defined. We tested each subgroup for association with the polygenic risk scores (PRS) for major depression and with other risk factors previously associated with major depression (bipolar disorder PRS, neuroticism, reported trauma in childhood and adulthood, socioeconomic status, family history of depression, education).

RESULTS

Major depression PRS was associated with all subgroups, but postpartum depression cases had higher PRS than heterogeneous major depression cases (OR = 1.06, 95% CI 1.02-1.10). Relative to heterogeneous depression, postpartum depression was more weakly associated with adulthood trauma and neuroticism. Depression following diagnosis of a chronic disease had weaker association with neuroticism and reported trauma in adulthood and childhood relative to heterogeneous depression.

CONCLUSIONS

The observed differences in risk factor profiles according to the context of a major depressive episode help provide insight into the heterogeneity of depression. Future studies dissecting such heterogeneity could help reveal more refined aetiological insights.

Predictors of Post-Stroke Depression: A Retrospective Cohort Study

Despite reports of a high incidence and various predictors of post-stroke depression (PSD), the underdiagnosis and undertreatment rates of PSD are still high. This study aimed to examine the incidence of depression in stroke patients and identify factors associated with PSD. This was a retrospective cohort study on ischemic stroke patients from the Geisinger Neuroscience Ischemic Stroke (GNSIS) registry. The following statistical analyses were performed to predict PSD in the studied population: a Kaplan−Meier estimator and a Cox proportional hazards model. A total of 5882 patients were included in the study. The median age at the time of an ischemic stroke was 72 years and 56% were males. A total of 294 patients were diagnosed with PSD within one year of a stroke. The cumulative incidence of depression was found to be 6.4% (95% CI 5.7−7.1%) at one year for the entire cohort. Women were found to have a higher risk of PSD than men (HR for women = 1.47, 95% CI 1.18−1.85, p = 0.001). A history of prior stroke (HR = 1.58, 95% CI 1.18−2.11, p = 0.002) and myocardial infarction (HR = 1.47, 95% CI 1.05−2.06, p = 0.025) were associated with PSD. Medicaid patients had a higher risk for PSD (HR = 2.16, 95% CI 1.5−3.12, p < 0.001) than those with commercial insurance or health maintenance organization plans. Our findings showed that women, patients with a history of prior stroke or myocardial infarction, and with Medicaid insurance were more likely to develop PSD. Through an observational study on the EHR data, we confirmed that chronic stress, including financial and health-related stress, irrespective of age, significantly increased the risk for PSD.

Acupuncture Reduces the Risk of Dysphagia in Stroke Patients: A Propensity Score-Matched Cohort Study

Background: Post-stroke dysphagia (PSD) affects the quality of life in stroke patients, impairs their rehabilitation ability, and causes other complications following stroke. Currently, there is currently some understanding of PSD risk factors, but its protective factors remain largely unknown. Objective: To analyze the effects of acupuncture (AP) on dysphagia in stroke patients and explore its potential as a preventive therapy. Methods: Patients with a diagnosis of stroke from 2010 to 2019 were selected and followed until 2020, utilizing factors such as age, gender, stroke location, stroke type, and baseline comorbidity. To compare the incidence of dysphagia, equal numbers of stroke patients treated with and without AP (n = 1,809) were matched by 1:1 propensity scoring. The Cox proportional hazards model and Kaplan-Meier method were used to assess the risk of dysphagia as an outcome measure. Results: The stroke patients treated with AP had a lower risk of dysphagia after adjusting for age, gender, stroke location, stroke type, and baseline comorbidity [adjusted hazard ratio (AHR) = 0.43, 95% confidence interval = 0.37-0.49] compared with those in the non-AP cohort. AP also decreased the risk of PSD among different gender groups. The risk ratios were AHR = 0.45 and AHR = 0.33 for males and females, respectively. AP also reduced the risk for PSD among different age groups. The risk ratios were AHR = 0.20, AHR = 0.37, AHR = 0.41, and AHR = 0.45 for the 18-39, 40-59, 60-79, and >80 years-old groups. Regarding stroke types (ischemic, hemorrhagic, and mixed type), patients treated with AP had a lower risk (AHR = 0.47, 0.28 and 0.17, respectively). With respect to stroke location, the risk of PSD in AP-treated patients was decreased regardless of location: brain stem (AHR = 0.41), diencephalon (AHR = 0.13), or multiple lesions (AHR = 0.40), the risk of PSD in AP-treated patients was decreased. For all baseline comorbidities, AP attenuated the risk of dysphagia. The cumulative incidence of dysphagia was remarkably lower in the AP group than in the non-AP group (log-rank test, P = 0.000). Limitations: First, this was a single-center clinical retrospective study. Second, we did not classify the severity of stroke and dysphagia. Third, all data were extracted manually. Lastly, the sample size was relatively small. Thus, future studies with larger sample sizes are warranted to verify our findings. Conclusion: Acupuncture treatment attenuates the risk of dysphagia in stroke patients. Future research should increase the sample size and elaborate further on the details of the AP protocol.

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

OBJECTIVES

Poststroke depression (PSD) is a public health issue, affecting one-third of stroke survivors, and is associated with multiple negative consequences. Reviews tried to identify PSD risk factors with discrepant results, highlighting the lack of comparability of the analyzed studies. We carried out a meta-analysis in order to identify clinical risk factors that can predict PSD.

DESIGN

PubMed and Web of Science were searched for papers. Only papers with a strictly defined Diagnostic and Statistical Manual of Mental Disorders depression assessment, at least 2 weeks after stroke, were selected. Two authors independently evaluated potentially eligible studies that were identified by our search and independently extracted data using standardized spreadsheets. Analyses were performed using MetaWin®, the role of each variable being given as a risk ratio (RR).

RESULTS

Eighteen studies were included in the meta-analysis. Identified risk factors for PSD with RR significantly above 1 were previous history of depression (RR 2.19, confidence interval (CI) 1.52-3.15), disability (RR 2.00, CI 1.58-2.52), previous history of stroke (RR 1.68, CI 1.06-2.66), aphasia (RR 1.47, CI 1.13-1.91), and female gender (RR 1.35, CI 1.14-1.61). Fixed effects model leads to identification of two more risk factors: early depressive symptoms with an RR of 2.32 (CI 1.43-3.79) and tobacco consumption (RR 1.40, CI 1.09-1.81). Time bias was found for alcohol consumption. Sample size was significantly involved to explain the role of "alcohol consumption" and "cognitive impairment."

CONCLUSION

Five items were significantly predictive of PSD. It might be of clinical interest that depressive-related risk factors (such as past depressive episodes) were having the largest impact.

Complementary and alternative therapies for poststroke depression: A protocol for systematic review and network meta-analysis

BACKGROUND

Poststroke depression (PSD) is an important complication of stroke, resulting in increased disability and mortality, which is a great threat to stroke survivors and public health. Complementary and alternative medicine (CAM) therapies is widely used in the treatment of PSD, However, the selection strategies of different CAM approaches in clinical practice is still not clear, and the purpose of this protocol is to compare the efficacy and acceptability of different CAM therapies using systematic review and network meta-analysis.

METHODS

According to the strategy, the authors will retrieve a total of seven electronic databases by August 2020, including PubMed, the Cochrane Library, EMbase, China National Knowledge Infrastructure, China Biological Medicine, Chinese Scientific Journals Database, and Wan-fang databases. The network meta-analysis will be performed using Aggregate Data Drug Information System 1.16.8 and Stata 13.0 software. In addition, the Cochrane Collaboration's tool is employed for the methodological quality, and the quality of evidence will be evaluated according to the Grading of Recommendations Assessment, Development, and Evaluation system.

RESULTS

This study will provide a reliable evidence for the selection strategy of CAM therapies for PSD.

CONCLUSION

The results of this study will provide references for evaluating the effects of different CAM therapies on PSD, and provide decision-making references for clinical practitioners, patients, and health policy makers.

ETHICS AND DISSEMINATION

This study does not require ethical approval. the results will be disseminated through a peer-reviewed publication.

OSF REGISTRATION NUMBER

DOI 10.17605/OSF.IO/TNGH6.

Depression in ankylosing spondylitis and the role of disease-related and contextual factors: a cross-sectional study

BACKGROUND

Patients with ankylosing spondylitis (AS) have a higher prevalence of depression compared to the general population. Comorbid depression in AS likely has a multifactorial origin. While several disease-related and contextual factors have been associated with depressive symptoms in AS, a comprehensive model of their interrelations is currently lacking. Such a model could help understand the mechanisms leading to, or maintaining, depression in AS. The objectives of the current study were to determine which factors are associated with depressive symptoms in AS and to understand their underlying relationships.

METHODS

Data from a cross-sectional survey-based multicentre study were used. Potential determinants included both contextual and disease-related factors. Depressive symptoms were assessed by the Hospital Anxiety and Depression Subscale (HADS-D). Direct and indirect associations between risk factors and the latent depressive symptom outcome were explored using structural equation modelling. A final model was selected based on model fit criteria and clinical plausibility.

RESULTS

Among 245 patients, median HADS-D score was 3 (interquartile range 1-6), and 44 patients (18%) had a HADS-D score ≥ 8, indicating possible depression. In the final model, contextual factors significantly associated with depressive symptoms were male gender, being employed, lower income, lower mastery and worse satisfaction with social role participation. Bath AS Disease Activity Index (BASDAI) was the only disease-related factor that was associated with depressive symptoms, acted only indirectly via mastery, and its standardized total effect on depressive symptoms was smaller than that of several contextual factors. Mastery had a central role in the path diagram and mediated the effects of BASDAI, income and satisfaction with social role participation on depressive symptoms. The final model explained 64% of the variance in the depression outcome.

CONCLUSIONS

Both contextual and disease-related factors are associated with depressive symptoms in AS. Mastery, the extent to which one feels in control over life and disease, has a key role in this process. Results support a relevance of self-efficacy in disease management and patient education. In order to improve patients' mental health, research is warranted whether mastery and its relation with depression can be modified.

Diabetes mellitus is associated with late-onset post-stroke depression

OBJECTIVE

To explore the associated factors of late-onset post-stroke depression (PSD).

METHODS

A total of 251 patients with acute ischemic stroke were recruited. The evaluation of depression was performed 2 weeks after ischemia. 206 patients showing no depression in 2 weeks were followed up. They were divided into late-onset PSD group and non-depressed group by clinical interview with Hamilton depression scale score 3 months after stroke. On the first day following hospitalization, the clinical data including age, gender, educational level and vascular risk factors were recorded. The severity, etiological subtype and location of stroke were evaluated. The inflammatory mediators, glucose and lipid levels were recorded on the day of admission. The association between clinical factors and late-onset PSD was explored by logistic regression analysis. The ROC analysis was performed to evaluate the predicting power of the clinical factors.

RESULTS

187 of 206 patients completed the assessment 3 months after stroke. 19 (10.16%) patients were diagnosed as late onset PSD. Diabetes mellitus was an independent risk factor for late-onset PSD (OR 2.675, p = 0.047). ROC analysis demonstrated that glucose and HbA1C could predict late-onset PSD with specificity of 84.4%.

LIMITATIONS

The sample of our study was small. The results should be further confirmed in a larger cohort of patients with acute ischemic stroke.

CONCLUSIONS

The acute ischemic stroke patients with diabetes mellitus were more tendered to suffer late-onset PSD.

Age-Related Frontal Periventricular White Matter Hyperintensities and miR-92a-3p Are Associated with Early-Onset Post-Stroke Depression

Objective: To explore the correlationship among white matter hyperintensities (WMHs), miR-92a-3p and early-onset post-stroke depression (PSD). Methods: We recruited consecutively 238 patients with acute cerebral infarction and MRI examination in the Department of neurology, Ruijin hospital, Shanghai Jiaotong University School of Medicine. The diagnosis of early-onset PSD was made in accordance with DSM-IV criteria for depression in 2 weeks after stroke. Clinical information and assessments of stroke severity were recorded on admission. The analysis of plasma miR-92a-3p was performed using quantitative PCR at the same time. WMHs were evaluated by the Fazekas and Scheltens visual rating scales. The relationship among WMHs, miR-92a-3p and PSD were analyzed by SPSS 22.0 software. Results: Logistic regression demonstrated that periventricular WMHs (PVWMHs) in frontal caps was an independent risk factor with early-onset PSD (OR = 1.579, 95% CI: 1.040-2.397, p = 0.032). The age and numbers of lacunes were related to frontal PVWMHs. Plasma miR-92a-3p in the PSD group was higher compared with the non-depressed group. Receiver operating curve analysis revealed that miR-92a-3p could predict early-onset PSD with 90% sensitivity and 90% specificity. The higher miR-92a-3p trended toward association with greater frontal PVWMHs. Conclusion: Acute ischemic stroke patients with frontal PVWMHs or a high plasma miR-92a-3p at baseline were more likely to develop early-onset PSD. MiR-92a-3p might be involved in the white matter impairment and post-stroke depression.

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.

A risk prediction model for post-stroke depression in Chinese stroke survivors based on clinical and socio-psychological features

Background

Post-stroke depression (PSD) is a frequent complication that worsens rehabilitation outcomes and patient quality of life. This study developed a risk prediction model for PSD based on patient clinical and socio-psychology features for the early detection of high risk PSD patients.

Results

Risk predictors included a history of brain cerebral infarction (odds ratio [OR], 3.84; 95% confidence interval [CI], 2.22-6.70; P < 0.0001) and four socio-psychological factors including Eysenck Personality Questionnaire with Neuroticism/Stability (OR, 1.18; 95% CI, 1.12-1.20; P < 0.0001), life event scale (OR, 0.99; 95% CI, 0.98-0.99; P = 0.0007), 20 items Toronto Alexithymia Scale (OR, 1.06; 95% CI, 1.02-1.10; P = 0.002) and Social Support Rating Scale (OR, 0.91; 95% CI, 0.87-0.90; P < 0.001) in the logistic model. In addition, 11 rules were generated in the tree model. The areas under the curve of the ROC and the accuracy for the tree model were 0.85 and 0.86, respectively.

Methods

This study recruited 562 stroke patients in China who were assessed for demographic data, medical history, vascular risk factors, functional status post-stroke, and socio-psychological factors. Multivariate backward logistic regression was used to extract risk factors for depression in 1-month after stroke. We converted the logistic model to a visible tree model using the decision tree method. Receiver operating characteristic (ROC) was used to evaluate the performance of the model.

Conclusion

This study provided an effective risk model for PSD and indicated that the socio-psychological factors were important risk factors of PSD.

Relationship between the lesion location of acute ischemic stroke and early depressive symptoms in Japanese patients

BACKGROUND

Approximately one-third of stroke survivors suffer from post-stroke depression (PSD) in the acute or chronic stages. The presence of PSD in the acute stage after stroke is reportedly associated with poor patient prognosis; therefore, early recognition and treatment of PSD may alleviate these consequences. The aim of the current study was to examine the relationship between the lesion location and the presence of early depressive symptoms after acute ischemic stroke in Japanese patients.

METHODS

Our study included 421 patients who suffered from acute ischemic stroke. On the day of admission, the lesion location was determined using magnetic resonance imaging (MRI). Stroke severity was measured on the seventh day of hospitalization withat the National Institutes of Health Stroke Scale (NIHSS). On the tenth day of hospitalization, depressive symptoms were measured and functional assessments were performed with the Japan Stroke Scale (Depression Scale) (JSS-D) and functional independence measure (FIM), respectively.

RESULTS

A total of 71 subjects (16.9 %) were diagnosed with depression. According to the multiple logistic regression analysis, the infarcts located at frontal and temporal lobes were found to be a significant independent risk factor of early depressive symptoms in the acute stage of stroke.

CONCLUSIONS

Patients suffering from acute ischemic stroke, particularly in the frontal and temporal lobes, should be carefully assessed to detect and treat early depressive symptoms; such treatment may improve patient outcomes.

Models of care for late-life depression of the medically ill: examples from chronic obstructive pulmonary disease and stroke

Depression worsens most treatment outcomes in medically ill older adults. Chronic medical illnesses weaken and demoralize patients and compromise their ability to adhere to treatments requiring consistency and effort. Acute medical illnesses create a psychosocial storm that finds patients and their ecosystem unprepared. We describe two intervention models that can be used to target and personalize treatment in depressed, chronically, or acutely medically ill older adults. The Personalized Adherence Intervention for Depression and COPD (PID-C) is a model intervention for depressed patients with chronic medical illnesses. It targets patient-specific barriers to treatment engagement and aims to shift the balance in favor of treatment participation. PID-C led to higher remission rates of depression, reduction in depressive symptoms, and reduction in dyspnea-related disability. The addition of problem-solving training enables patients to use resources available to them and hopefully improve their outcomes. Ecosystem-focused therapy (EFT) is a model intervention for depression developing in the context of an acute medical event. It was developed for patients with poststroke depression (PSD) and targets five areas, part of the "psychosocial storm" originating from the patient's sudden disability and the resulting change in the patient's needs and family's life. A preliminary study suggests that EFT is feasible and efficacious in reducing depressive symptoms and signs and disability in PSD.

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

OBJECTIVE

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

METHODS

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

RESULTS

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

CONCLUSIONS

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

The Relationship between Rehabilitation and Changes in Depression in Stroke Patients

[Purpose] This study investigated the primary factors behind changes in depressive symptoms among stroke patients after 8 weeks of rehabilitation (physical, occupational, and cognitive therapy). [Methods] This study was conducted using a literature review, and electronic medical records from January, 2008 to December, 2009. Data were collected for 120 subjects with chronic stroke. [Results] Cardiac disorder, left-brain lesion, early-stage depression, activities of daily living, and cognitive function were significant predictors of the changes in depression in chronic stroke patients. [Conclusion] Post-stroke depression can be controlled by rehabilitation. Also, clinicians should comprehend and share the psychological and physical affliction, develop back-up programs, and make them comprehensively available to support the psychological and physical health of subjects with chronic stroke.

Predictors of Emotional Distress and Wellbeing 2–5 Years After Stroke

Objectives. To identify predictors of emotional distress and psychological wellbeing in stroke survivors 2–5 years after discharge from comprehensive rehabilitation. Material and Methods. The Hospital Anxiety and Depression Scale (HADS), the General Health Questionnaire (GHQ-30), and questions regarding life situations were mailed to former patients. Multiple regression analyses were performed. Results. The responses from 68 participants (37% women), of an average age of 58 years old, were used. Emotional distress (HADS > 10) was identified in 41%. Well-being (GHQ-30 < 6) was identified in 46%. Not surprisingly, there was a strongly negative association between well-being (GHQ-30 < 6) and emotional distress (HADS > 10) at follow up. Dependency in toileting during rehabilitation predicted emotional distress 2–5 years later. Finally, well-being at followup was predicted by age > 65 years, independent mobility, perceiving proxies as supportive, and being in employment. Conclusions. Dependence in the activities of daily living 3–6 months after-injury predicted emotional distress 2–5 years after-stroke. Being over 65 years, having an occupation, proxy support and being less dependent all predicted well-being. Emotional distress and well-being were clearly negatively associated. Gender, education, marital status, and type of stroke were not associated with the outcome measures.

Sustained inflammation 1.5 years post-stroke is not associated with depression in elderly stroke survivors

Background

Depression is common in elderly stroke survivors and has been associated with systemic inflammation. We aimed to investigate an elderly population of Swedish stroke patients for evidence of sustained peripheral inflammation 18 months post-stroke and to identify if inflammation is associated with post-stroke depression at 18 months post-stroke.

Methods

The Barthel Index was used to measure the level of impairment in activities of daily living at 3 days post-stroke. Serum concentrations of inflammation markers, ie, C-reactive protein and white cell count, were measured in 149 stroke patients (mean age 81 ± 5.33 years, 35% male) at 18 months post-stroke, and a comparison was made with an age-matched sample of elderly Swedish individuals who had not suffered a stroke. At the same visit, clinical depression was diagnosed according to the Diagnostic and Statistical Manual of Mental Disorders, Third Edition-Revised criteria. Severity of depression was assessed using the Montgomery-Asberg Depression Rating Scale (MADRS).

Results

Mean C-reactive protein and white cell count levels in stroke patients were significantly elevated at 18 months post-stroke compared with population probands. Disability scores were associated with MADRS depression scores, but C-reactive protein and white cell count were not.

Conclusion

We found evidence for a sustained peripheral inflammatory response at 18 months post-stroke. C-reactive protein and white cell count were not associated with depression in this study.

Ecosystem focused therapy in poststroke depression: a preliminary study

OBJECTIVE

Poststroke depression (PSD) occurs in the context of abrupt, often catastrophic disability that finds the patient and his or her family unprepared. We developed the ecosystem focused therapy (EFT), a systematic intervention aimed to increase the PSD patient's and his or her ecosystem's abilities to address the "psychosocial storm" of PSD and utilize available treatments effectively and efficiently. This is a preliminary study of its efficacy.

DESIGN

A total of 24 PSD patients were randomly assigned to receive weekly sessions of EFT or a comparison condition consisting of systematic Education on Stroke and Depression and their treatment for 12 weeks.

RESULTS

Ecosystem Focused Therapy may be more efficacious than Education on Stroke and Depression in reducing depressive symptoms and signs, in leading to a higher remission rate, and in ameliorating disability in PSD. Reduction of disability in the early part of the trial mediated later improvement in depressive symptomatology. Similarly, reduction in depressive symptoms and signs early on mediated later improvement in disability.

CONCLUSION

These encouraging findings require replication. Beyond its potential direct benefits in PSD, EFT may provide an appropriate context for efficient and timely administration of pharmacotherapy and of physical, speech, and occupational therapy thus maximizing their efficacy.

'Living a life in shades of grey': experiencing depressive symptoms in the acute phase after stroke

AIM

The aim of the present study was to describe the lived experience of stroke survivors suffering from depressive symptoms in the acute phase; addressing the following questions: (a) what is the nature of depression as experienced by post-stroke patients in the acute phase? (b) what is it like to live with depression within the first weeks following stroke?

BACKGROUND

Post-stroke depression occurs in at least one quarter of stroke survivors and is linked to poorer outcomes.

METHOD

This qualitative study is methodologically grounded in hermeneutic phenomenology, influenced by van Manen and Ricoeur. A descriptive, qualitative design was used applying in-depth interviews as the method of data collection with nine participants. The data collection took place in 2008.

RESULTS

The material revealed two main themes that generate the feeling and description of 'living a life in shades of grey': (a) being trapped and (b) losing oneself. 'Shades of grey' could be understood as being confined in a new life-world and losing oneself as the person one knew.

CONCLUSION

The participants confirmed suffering from depressive symptoms, but depression was not seen as meaningful on its own. They related their experiences of post-stroke depression in the acute phase to the losses they experienced. Nurses ought to take into account the depth of the life changes that stroke survivors may experience. There is a need for continued empirical research on how nurses may help and support stroke survivors dealing with depressive symptoms in the acute phase after stroke and how depressive symptoms develop over time.

Natural history, predictors, and associations of depression 5 years after stroke: the South London Stroke Register

BACKGROUND AND PURPOSE

The longer-term natural history of depression after stroke is poorly understood. We estimate frequency, predictors, and associations of depression up to 5 years after stroke in a population-based study.

METHODS

Data from 3689 patients registered in the South London Stroke Register 1995 to 2006 were used. Baseline data included age, sex, ethnicity, socioeconomic status, and stroke severity. At 3 months and at 1, 3, and 5 years, survivors were assessed for depression (Hospital Anxiety and Depression; depression subscale score >7 indicates depression), cognition, disability, activity, accommodation, employment, and social networks. Associations with depression were investigated with logistic regression. Data are reported with OR and 95% CI.

RESULTS

Depression frequencies were 33% (30%-36%), 28% (25%-30%), 32% (30%-35%), and 31% (27%-34%) at 3 months and at 1, 3, and 5 years after stroke, respectively. Forty-eight percent of patients were not depressed at any time point; 49% to 55% of depressed patients at 1 assessment remained depressed at follow-up; and 15% to 20% of patients at each assessment were new cases. Predictors of depression included stroke severity, inability to work, and impaired cognition. Associations with depression at follow-up included impaired cognition, lack of family support, institutionalization, inability to work, functional dependence, and low activity level.

CONCLUSIONS

Frequency of depression up to 5 years after stroke is 30%; however, it is a dynamic situation with recovery and new cases diagnosed over time. These findings support the need for regular assessment of depression and its associated factors and for the development of effective interventions to reduce depression after stroke.

Psychometric Evaluation of the Appraisal of Health Scale in Stroke Survivors

Background/Purpose: Little is known about the cognitive appraisal process influencing poststroke depressive symptoms. Based on a framework derived from Lazarus and Folkman (1984), psychometric properties of the Appraisal of Health Scale (AHS) were tested. Methods: Secondary analysis of data from 394 stroke survivors tested internal consistency reliability and construct validity of the AHS, consisting of 3 subscales (threat, benign, benefit). Results: Cronbach’s alphas were satisfactory (threat .92, benign .85, benefit .73). After principal axis factoring, two factors emerged (threat, benefit). Sequential multiple regression accounted for 43% of the variance in depressive symptoms (p < .001), partly explained by the threat and benefit subscales after controlling for depression history, disability, age, social support, self-esteem, and optimism. Conclusion: Threat and benefit AHS subscales demonstrated satisfactory evidence of internal consistency reliability and construct validity in stroke survivors.

Importance of retardation and fatigue/interest domains for the diagnosis of major depressive episode after stroke: a four months prospective study

OBJECTIVE

Post-stroke major depressive episode is very frequent, but underdiagnosed. Researchers have investigated major depressive episode symptomatology, which may increase its detection. This study was developed to identify the depressive symptoms that better differentiate post-stroke patients with major depressive episode from those without major depressive episode.

METHOD

We screened 260 consecutive ischemic stroke patients admitted to the neurology clinic of a university hospital. Seventy-three patients were eligible and prospectively evaluated. We assessed the diagnosis of major depressive episode using the Structured Clinical Interview for DSM-IV and the profile of depressive symptoms using the 31-item version of the Hamilton Depression Rating Scale. For data analysis we used cluster analyses and logistic regression equations.

RESULTS

Twenty-one (28.8%) patients had a major depressive episode. The odds ratio of being diagnosed with major depressive episode was 3.86; (95% CI, 1.23-12.04) for an increase of one unit in the cluster composed by the domains of fatigue/interest and retardation, and 2.39 (95% CI, 1.21-4.71) for an increase of one unit in the cluster composed by the domains of cognitive, accessory and anxiety symptoms. The domains of eating/weight and insomnia did not contribute for the major depressive episode diagnosis.

CONCLUSION

The domains of retardation and interest/fatigue are the most relevant for the diagnosis of major depressive episode after stroke.

The impact of vascular burden on late-life depression

Small vessel pathology and microvascular lesions are no longer considered as minor players in the fields of cognitive impairment and mood regulation. Although frequently found in cognitively intact elders, both neuroimaging and neuropathological data revealed the negative impact on cognitive performances of their presence within neocortical association areas, thalamus and basal ganglia. Unlike cognition, the relationship between these lesions and mood dysregulation is still a matter of intense debate. Early studies focusing on the role of macroinfarct location in the occurrence of post-stroke depression (PSD) led to conflicting data. Later on, the concept of vascular depression proposed a deleterious effect of subcortical lacunes and deep white matter demyelination on mood regulation in elders who experienced the first depressive episode. More recently, the chronic accumulation of lacunes in thalamus, basal ganglia and deep white matter has been considered as a strong correlate of PSD. We provide here a critical overview of neuroimaging and neuropathological sets of evidence regarding the affective repercussions of vascular burden in the aging brain and discuss their conceptual and methodological limitations. Based on these observations, we propose that the accumulation of small vascular and microvascular lesions constitutes a common neuropathological platform for both cognitive decline and depressive episodes in old age.

Recent advances in the biological treatment of mood disorders

Welcome to the first module in our Continuing Professional Development Section (CPD). CPD is now a key element in the clinical activity of all health professionals and a cornerstone of good clinical governance throughout mental health services. This section of the Irish Journal of Psychological Medicine will provide CPD modules dedicated to key topics in mental health care. In order to assist learning and self-assessment, multiple choice questions will be provided at the end of each module. This module and its multiple choice questions are available online on the website of the Irish Journal of Psychological Medicine (www.ijpm.org). The CPD policy of the College of Psychiatry of Ireland indicates that psychiatrists who participate in suitable online learning which fits the criteria for CPD may claim CPD points under the Personal CPD category (up to a maximum of 5 points per year). We are confident that this CPD Section of the Irish Journal of Psychological Medicine will prove to be a valuable resource for consultant psychiatrists, psychiatric trainees and all journal readers. We welcome feedback from readers and, especially, any suggestions for topics to be covered in future CPD modules. Suggestions should be emailed to: psychological@medmedia.ie.

Is family history of depression a risk factor for poststroke depression? Meta-analysis

OBJECTIVE

To determine whether family history of psychiatric disorder constitutes a risk factor for the development of poststroke depression.

DESIGN

A meta-analysis setting: patients examined for depression following stroke seen in acute care, rehabilitation hospital, or outpatient care settings.

PARTICIPANTS

All patients who were reported in the world's literature in English language publications in which information was provided about the existence or not of poststroke depression and the presence or absence of a family history of psychiatric disorder.

MEASUREMENTS

The frequency of family history of psychiatric disorder was determined for each study as well as the relationship of family history to the presence of poststroke depression.

RESULTS

Based on data obtained from 903 patients with stroke, the fixed model analysis found a risk ratio of 1.51 and the random model a risk ratio of 1.46 for the existence of poststroke depression if there is a positive family history of psychiatric disorder compared with a negative family history.

CONCLUSIONS

The existence of a positive family history of psychiatric disorder constitutes a risk factor for development of poststroke depression. The role of family history in poststroke depression, however, appears to be substantially lower than among elderly depressed patients without evidence of vascular disease.