Incidence and risk factors of poststroke depression in patients with acute ischemic stroke: A 1-year prospective study in Taiwan

Association between non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol ratio (NHHR) and the risk of post-stroke depression: A cross-sectional study

BACKGROUND

Limited observational research has explored the relationship between the non-high-density lipoprotein cholesterol (non-HDL-C) to high-density lipoprotein cholesterol (HDL-C) ratio (NHHR) and the risk of post-stroke depression (PSD). This study aims to investigate the potential associations between NHHR and PSD.

METHODS

A cross-sectional study was conducted using data from stroke participants aged 20 and older, sourced from the National Health and Nutrition Examination Survey (NHANES) spanning 2005 to 2018. Depression was assessed using the PHQ-9 questionnaire. The association between NHHR and PSD risk was evaluated through weighted multivariate logistic regression and restricted cubic spline (RCS) models. Subgroup and sensitivity analyses were performed to validate the findings.

RESULTS

In the continuous model, the NHHR value for the PSD group (3.23±1.84) was significantly higher than that of the non-PSD group (2.79±1.40, p=0.015). Logistic regression analysis in the fully adjusted model revealed a positive association between NHHR and PSD (OR 1.16, 95 % CI 1.03-1.30, p=0.016). Interaction tests showed no significant differences across strata (p > 0.05 for interaction). Restricted cubic spline results indicated a linear dose-response relationship between NHHR and PSD risk (P for non-linearity = 0.6). This association persisted in various subgroup analyses.

CONCLUSION

NHHR was significantly correlated with an increased risk of PSD among U.S. adults. Further re-search on NHHR could contribute to the prevention and treatment of PSD.

Risk of depression after Parkinson's disease, stroke, multiple sclerosis, and migraine in an Iranian population and assess psychometric characteristics of three prevalent depression questionnaires

Objective

We aim to evaluate the prevalence of depression in disorders including multiple sclerosis (MS), Parkinson's disease (PD), migraine, and stroke. Also, we detect risk factors for depression occurrence within each disorder. Moreover, we compare the risk factors in these four common neurologic disorders. In advance, we assess the three surveys in order to better comprehend their distinctions.

Background

Depression is a globally prevalent Psychologic disorder and common co-morbidity in neurological diseases. However, it is mostly underdiagnosed in chronic patients and causes numerous adverse effects.

Methods

We used the database of neurology specialty clinics in a hospital in Tehran, the largest city of Iran. Five hundred nineteen patients, including 105 PD patients, 101 patients with stroke, 213 cases with MS, and 100 Migraine patients, were assessed. They were asked about their chief characteristics and disease-specific variables that may cause depression. Moreover, depression criteria were measured with three internationally used scales to study their variances.

Results

Overall, the prevalence of depression in PD, stroke, MS, and migraine, according to the BDI-II scale, were 43.8%, 38.6%, 45.1%, 37.6%, and according to HDRS scale, were 56.2%, 51.5%, 39.4%, and 43.6% respectively. Finally, according to DSM-XC the depression prevalence were 64.8%, 34.7%, 36.2%, and 67.3% respectively. Possible risk factors of depression were lower educational level, disease severity, socioeconomic level, marital or employment status, female gender, higher age, and consumption of some specific drugs.

Conclusion

Depression is a widespread disorder in chronic neurologic conditions. Our data suggests the odds of depression in neurologic disorders depend on the characteristics of the patient and the features of the disease.

Lower serum uric acid and impairment of right cerebral hemisphere structural brain networks are related to depressive symptoms in cerebral small vessel disease: A cross-sectional study

Cerebral small vessel disease (SVD) may be associated with an increased risk of depressive symptoms. Serum uric acid (SUA), an antioxidant, may be involved in the occurrence and development of depressive symptoms, but the mechanism remains unknown. Moreover, the relationship between structural brain networks and SUA has not been explored. This study examined the relationship between SUA and depressive symptoms in patients with SVD using graph theory analysis. We recruited 208 SVD inpatients and collected fasting blood samples upon admission. Depressive symptoms were assessed using the 24-item Hamilton Depression Rating Scale (HAMD-24). Magnetic resonance imaging was used to evaluate SVD, and diffusion tensor images were used to analyze structural brain networks using graph theory. Patients with depressive symptoms (n = 34, 25.76%) compared to those without (334.53 vs 381.28 μmol/L, p = 0.017) had lower SUA levels. Graph theoretical analyses showed a positive association of SUA with betweenness centrality, nodal efficiency, and clustering coefficients and a negative correlation with the shortest path length in SVD with depressive symptoms group. HAMD scores were significantly associated with nodal network metrics in the right cerebral hemisphere. Our findings suggested that lower SUA levels are significantly associated with disrupted structural brain networks in the right cerebral hemisphere of patients with SVD who have depressive symptoms.

Depression Risk in Post-Stroke Aphasia Patients: A Nationwide Population-Based Cohort Study

INTRODUCTION

Depression and aphasia impair the quality of life after a stroke. Studies linking depression risk to post-stroke aphasia (PSA) lacked confirmation using a large database.

METHODS

Using Taiwan's National Health Insurance claims data, we identified ≥18-year-old patients hospitalized for stroke from 2005 to 2009, and those diagnosed with aphasia during hospitalization or within 3 months after discharge were selected to form the aphasic group. We estimated depression incidence by December 31, 2018, and used the Cox proportional hazards model to estimate aphasia group to non-aphasia group hazard ratios (HRs).

RESULTS

With a median follow-up period of 7.91 and 8.62 years for aphasia (n = 26,754) and non-aphasia groups (n = 139,102), respectively, the incidence of depression was higher in the aphasia group than in the non-aphasia group (9.02 vs. 8.13 per 1,000 person-years), with an adjusted HR (95% confidence intervals [CI]) of 1.21 (1.15-1.29) for depression. The adjusted HRs (95% CI) of depression were homogenous for females, 1.26 (1.15-1.37); for males, 1.18 (1.09-1.27); for hemorrhagic stroke, 1.22 (1.09-1.37); and for ischemic stroke, 1.21 (1.13-1.30). Results in analyzing 25,939 propensity score-matched pairs demonstrated an equivalent effect.

CONCLUSION

Patients with PSA are at an increased risk of developing depression, regardless of sex or stroke type.

Serum Cystatin C is Associated with Depression After Intracerebral Hemorrhage

Purpose

Cystatins are associated with neuronal degeneration and nervous system healing. Cystatin C (Cys C) has recently been linked to brain injury and immunological inflammation. This study aimed to determine the relationship between serum Cys C levels and depression following intracranial hemorrhage (ICH).

Patients and Methods

Between September 2020 and December 2022, 337 patients with ICH were sequentially recruited and followed up for three months. The post-stroke depression (PSD) and non-PSD groups were separated based on the 17-item Hamilton Depression Rating Scale (HAMD). The PSD diagnosis was established based on the DSM-IV criteria. Cys-C levels were documented within twenty-four hours of admission.

Results

Three months after ICH, 93 (27.6%) of 337 enrolled patients were diagnosed with depression. The Cys C levels were significantly higher in depressed patients than in nondepressed patients after ICH (1.32 vs 1.01; p<0.001). After adjusting for potential confounding variables, depression after ICH was associated with the highest quartile of Cys C levels (odds ratio (OR) = 3.195, 95% CI: 1.562-6.536; p=0.001). The receiver operating characteristic curve (ROC) curve predicted that the ideal cut-off for CysC levels as a predictor of depression after ICH would be 0.730, resulting in 84.5% sensitivity and 88.4% specificity, with an area under curve (AUC) of 0.880 (95% CI: 0.843-0.917; p< 0.0001).

Conclusion

Increased CysC concentrations were independently related to depression three months after ICH, highlighting that CysC levels at admission may be a potential biomarker for predicting the onset of depression following ICH.

Call to Action for Cardiovascular Disease in Women: Epidemiology, Awareness, Access, and Delivery of Equitable Health Care: A Presidential Advisory From the American Heart Association

Addressing the pervasive gaps in knowledge and care delivery to reduce sex-based disparities and achieve equity is fundamental to the American Heart Association's commitment to advancing cardiovascular health for all by 2024. This presidential advisory serves as a call to action for the American Heart Association and other stakeholders around the globe to identify and remove barriers to health care access and quality for women. A concise and current summary of existing data across the areas of risk and prevention, access and delivery of equitable care, and awareness and education provides a framework to consider knowledge gaps and research needs critical toward achieving significant progress for the health and well-being of all women.

Does urinary metabolite signature act as a biomarker of post-stroke depression?

BACKGROUND

It is difficult to conduct the precise diagnosis of post-stroke depression (PSD) in clinical practice due to the complex psychopathology of depressive disorder. Several studies showed that gas chromatography-mass spectrometry (GC-MS)-identified urinary metabolite biomarkers could significantly discriminate PSD from stroke survivors.

METHODS

A systematic review was performed for the keywords of "urinary metabolite" and "PSD" using Medline, Cochrane Library, Embase, Web of Science, PsycINFO, Wanfang, CNKI, CBM, and VIP database from inception to 31 March 2022.

RESULTS

Four related studies were included in the review. Differential urinary metabolites including lactic acid, palmitic acid, azelaic acid, and tyrosine were identified in all the included studies. As a significant deviation in the metabolite biomarker panel, glyceric acid, azelaic acid, phenylalanine, palmitic acid, pseudouridine, and tyrosine were found in at least 2 included studies, which indicated good potential for the differentiation of PSD.

CONCLUSION

The systematic review provided evidence that differential urinary metabolites analyzed by the GC-MS-based approach might be used as a biomarker for the diagnosis and prognosis of PSD.

The Relationship Between 5-Hydroxytryptamine and Its Metabolite Changes With Post-stroke Depression

Post-stroke depression (PSD) is the most common and serious sequelae of stroke. Approximately 33% of stroke survivors were affected by PSD. However, many issues (e.g., incidence, diagnostic marker, and risk factor) related to PSD remained unclear. The "monoamine hypothesis" is a significant hypothesis for depression, which suggests that three monoamines play a key role in depression. Therefore, most current antidepressants are developed to modulate the monoamines on PSD treatment, and these antidepressants have good effects on patients with PSD. However, the potential mechanisms of three monoamines in PSD are still unclear. Previously, we proposed "three primary emotions," which suggested a new model of basic emotions based on the three monoamines. It may provide a new way for PSD treatment. In addition, recent studies have found that monoamine-related emotional intervention also showed potential effects in the treatment and prevention of PSD. This study discusses these issues and attempts to provide a prospect for future research on PSD.

Longitudinal assessment of anxiety/depression rates and their related predictive factors in acute ischemic stroke patients: A 36-month follow-up study

This study aimed at investigating the longitudinal changes of poststroke anxiety/depression rates, and their potential risk factors in acute ischemic stroke (AIS) patients.A total of 250 first diagnosis of AIS patients were enrolled and followed for 36 months. Anxiety/depression of patients were assessed using hospital anxiety and depression scale (HADS) at month (M) 0 (M0) and then every 3 months till M36.During 36-month follow-up, both HADS-anxiety score (from 6.9 ± 3.1 at M0 to 8.0 ± 3.5 at M36) and anxiety rate (from 41.2% at M0 to 54.0% at M36) (both P < .01) were increased with time longitudinally. Meanwhile, HADS-depression score (from 6.2 ± 3.0 at M0 to 6.9 ± 3.1 at M36) and depression rate (from 32.4% at M0 to 40.4% at M36) (both P > .05) displayed an upward trend with time longitudinally but without statistical significance. By forward multivariate logistic regression analysis, female, diabetes and higher National Institute of Health Stroke Scale (NIHSS) score independently predicted elevated anxiety risk at M0, M12, M24, and M36 (all P < .05); while longer education duration and hypertension independently predicted raised anxiety risk at M0 and M12 (all P < .05), respectively. Regarding depression, diabetes independently predicted increased depression risk at M0, M12, M24, and M36 (all P < .01); longer education duration independently predicted higher depression risk at M0 and M12 (both P < .05); female independently predicted increased depression risk at M24 and M36 (both P < .01); higher NIHSS score independently predicted raised depression risk at M24 and M36 (both P < .01).Poststroke anxiety and depression are frequent, which deteriorate with time; besides, female, diabetes, NIHSS score, hypertension and education duration independently predicted increased poststroke anxiety or depression risk in AIS patients.

Social-Economic Environments and Depressive Symptoms in Community-Dwelling Adults: A Multi-Level Analysis for Two Nationwide Datasets in Taiwan

Most studies have focused on factors associated with depression at the individual level, and evidence on ecological models linking social-economic features with depression is rare in Taiwan. This study aimed to use multi-level analysis to explore the effects of social-economic environments on depressive symptoms among Taiwanese adults. The 2009 National Health Interview Survey (NHIS) and the Age-Friendly Environments database were linked in this study. A total of 6602 adults aged 20 years and older were included in the analysis. A Chinese version of the 10-item CESD was used as the outcome measure. Three social indicators (population density, divorce rate, and crime rate) and three economic indicators (unemployment rate, per capita disposable income, and per capita government expenditures) at the ecological level were examined. Results showed that two social environments and two economic features were significantly associated with depressive symptoms. However, the effects of these factors were different by gender and age groups. The economic environments were critical for males and young adults aged 20–44 years old, whereas the social environments were significant for females and middle-aged and older adults. Intervention efforts for depression prevention should integrate ecological approaches into the effects of social-economic environments on depressive symptoms.

The advances of post-stroke depression: 2021 update

Post-stroke depression (PSD) is one of common and serious sequelae of stroke. Approximately, one in three stroke survivors suffered from depression after stroke. It heavily affected functional rehabilitation, which leaded to poor quality of life. What is worse, it is strongly associated with high mortality. In this review, we aimed to derive a comprehensive and integrated understanding of PSD according to recently published papers and previous classic articles. Based on the considerable number of studies, we found that within 2 years incidence of PSD has a range from 11 to 41%. Many factors contribute to the occurrence of PSD, including the history of depression, stroke severity, lesion location, and so on. Currently, the diagnosis of PSD is mainly based on the DSM guidelines and combined with various depression scales. Unfortunately, we lack a unified mechanism to explain PSD which mechanisms now involve dysregulation of hypothalamic-pituitary-adrenal (HPA) axis, increased inflammatory factors, decreased levels of monoamines, glutamate-mediated excitotoxicity, and abnormal neurotrophic response. At present, both pharmacotherapy and psychological therapies are employed in treating PSD. Although great advance has been made by researchers, there are still a lot of issues need to be addressed. Especially, the mechanism of PSD is not completely clear.

A sudden and severe depressive episode after a left cingulate gyrus stroke: a case report of post-stroke depression and review of literature

Post-stroke depression is a frequent complication of cerebrovascular lesions and mainly occurs within the first 6 months after stroke. Stroke patients who develop depression have slower recovery, greater disability, and higher mortality rates. The pathophysiology of post-stroke depression is not yet clearly defined, but studies suggest contributions from both psychosocial factors and stroke-related factors, such as lesions affecting the frontal-subcortical circuits. Early treatment has a positive impact on post-stroke rehabilitation outcome and survival. We present the case of an 82-year-old man with no psychiatric history who was brought to the psychiatric emergency department after two suicide attempts in the span of 7 days. He was severely depressed, with feelings of hopelessness, insomnia, and suicidal ideation. He had suffered a stroke the week before, affecting the anterior portion of the left cingulate gyrus, causing right hemiparesis and paresthesia. The psychiatric symptoms developed immediately after the stroke and were not present before the event. He was admitted to the psychiatry ward, treated with sertraline 100 mg/day and quetiapine 50 mg/day and discharged within 28 days, after full remission of symptoms. Our case strengthens the association between lesions located to the frontal-subcortical circuits and post-stroke depression. Physicians should be vigilant regarding the occurrence of depression in stroke patients, especially those who suffer lesions affecting the frontal-subcortical circuits and related regions.

Depressed Mood after Stroke: Predictive Factors at Six Months Follow-Up

We aimed to know the prevalence of post-stroke depression (PSD) in our context, identify the variables that could predict post-stroke depression, by using the Hamilton Depression Rating Scale, occurring within six months after stroke, and identify patients at high risk for PSD. Methods: descriptive, cross-sectional and observational study. We included 173 patients with stroke (transient ischemic attack (TIA) included) and collected sociodemographic and clinical variables. We used the Hamilton Depression Scale (HDS) for depression assessment and Barthel Index and modified Rankin Scale (mRS) for functional assessment. The neurological severity was evaluated by the National Institutes of Health Stroke Scale (NIHSS). Results: 35.5% were women, aged 71.16 (±12.3). Depression was present in 42.2% patients (n = 73) at six months after stroke. The following variables were significantly associated with PSD: diagnosis of previous depression (p = 0.005), the modified Rankin Scale at discharge (p = 0.032) and length of hospital stay (p = 0.012). Conclusion: PSD is highly prevalent after stroke and is associated with the severity, left location of the stroke, and the degree of disability at discharge. Its impact justifies the evaluation and early treatment that still continues to be a challenge today.

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.

Depressive symptoms are not associated with type 2 diabetes in a rural population in China: findings from the Henan rural cohort

BACKGROUND

Depression is one of the most prevalent mental health challenges that affect all groups of persons. This study examines the association between type 2 diabetes and depressive symptoms (using PHQ-2) in a rural population. Other risk factors of depressive symptoms are examined.

METHODS

Data from 30,001 participants from the Henan rural cohort was analyzed. Multivariable logistic regression analyses were performed to examine the associations between depressive symptoms (DS) and type 2 diabetes and other risk factors. Adjusted odds ratios (aOR) with confidence intervals (CI) at 95% are reported.

RESULTS

The prevalence of DS in the study population is 5.86%, 6.69% in women, 4.74% in men, 5.80% in persons without diabetes and 6.81% in persons with diabetes (diagnosed and undiagnosed). DS prevalence was highest in persons with previously diagnosed diabetes (8.27%). No association was found between DS and diabetes (aOR = 0.95, CI at 95% 0.61-1.48; p=0.836). DS was associated with poor glycemic control (aOR=1.43, CI at 95% 1.04- 1.98; p= 0.034) in persons with previously diagnosed diabetes, persons with elevated triglycerides (aOR=1.19, CI at 95% 1.08-1.30; p<0.001), household income (aOR= 0.78, CI at 95% 0.63-0.97; p=0.027), marital status (aOR=1.37, CI at 95% 1.01-1.88, p=0.049) and hypertension treatment with medication (aOR=1.94, CI at 95% 1.48-2.55; p<0.001).

LIMITATIONS

DS was assessed through self-report and may suffer recall or information bias.

CONCLUSIONS

DS was not associated with diabetes in our study population. The association between poor glycemic control and DS calls for the integration of screening for depression among patients with diabetes.

Socioeconomic Factors Predicting Depression Differ in the Acute Stage and at 1 year After Ischemic Stroke or TIA

INTRODUCTION

Considerable depressive symptoms follow stroke in about one third of patients. Initial depressive symptoms may wane after the acute phase of stroke, but persisting depressive symptoms adversely affect rehabilitation and quality of life. We set forth to evaluate predictors of depressive symptoms with a focus on socioeconomic factors.

METHODS

We evaluated clinical features and socioeconomic characteristics in 233 consecutive patients with acute ischemic stroke or TIA. Depressive symptoms could be evaluated in 168 subjects in the acute phase with a repeated testing after a mean of 14.7 months via telephone interview in 116 patients. Survival status, scores on the Center for Epidemiologic Studies-Depression Scale (CES-D), Beck Depression Inventory (BDI) and disability (modified Rankin scale, mRS) were recorded.

RESULTS

In the acute phase, employment status (p = 0.037) and level of education (p = 0.048) whereas one year later dependency (mRS≥3, p = 0.002) and income (p = 0.012) were the significant predictors of the severity of depressive symptoms. A change from independent (mRS≤2) to dependent living predicted worsening depressive symptoms (p = 0.008), whereas improving to functional independence from an initially dependent condition was associated with diminishing depressive symptoms (p = 0.077 for CES-D and p = 0.044 for BDI) in the first year after an acute ischemic cerebrovascular event.

CONCLUSIONS

Predictors of the severity of depressive symptoms differed in the acute phase and at follow-up. In addition to disability, education and employment status in the acute phase and income in the late phase predict the severity of depressive symptoms after ischemic stroke or TIA.

Association between serum lipoprotein levels and neurological function in patients with acute ischemic stroke: A protocol of systematic review and meta-analysis

BACKGROUND

The target of this study is to summarize the association between the serum lipoprotein levels and neurological function in patients with acute ischemic stroke.

METHODS

A comprehensive search of Cochrane Library, PUBMED, EMBASE, Web of Science, and Chinese Biomedical Literature Database, China National Knowledge Infrastructure from inception to the February 29, 2020 without language and publication date restrictions. All searched studies will be selected by 2 authors independently against the eligibility criteria. Included studies will be critically appraised, and essential data will be extracted by 2 independent authors. If necessary, meta-analysis will be utilized to synthesize the outcome data from included articles. If it is not possible, a narrative synthesis will be undertaken.

RESULTS

This study will summarize the up-to-date evidence to investigate the association between serum lipoprotein levels and neurological function in patients with acute ischemic stroke.

CONCLUSION

Its results may present beneficial evidence and guidance for the clinical practice and further studies.

STUDY REGISTRATION NUMBER

INPLASY202040043.

Elevated Neutrophil-to-Lymphocyte Ratio Predicts Depression After Intracerebral Hemorrhage

PURPOSE

Inflammation plays a critical role in the development of depression after intracerebral hemorrhage (ICH), while neutrophil-to-lymphocyte ratio (NLR) has been identified as a novel comprehensive inflammatory indicator in recent years. The aim of this study was to examine the association between NLR and depression after ICH.

PATIENTS AND METHODS

From January 2016 to December 2018, ICH patients were prospectively enrolled. NLR was measured at admission. Depression at 3 months after ICH was diagnosed according to the Hamilton Depression Scale (HAMD).

RESULTS

Of the 372 enrolled patients, 107 (28.8%) were diagnosed with depression at 3 months after ICH. Patients with depression had a higher NLR (6.15 vs 3.55, P < 0.001). Logistic regression analysis detected that after adjusting for major confounders, NLR remained independently associated with depression after ICH (OR = 2.25, 95% CI: 1.45-3.49, P < 0.001). Moreover, NLR acted as the optimal variable for prediction, with the optimal predictive threshold of 4.53 in ROC analysis.

CONCLUSION

Elevated NLR is associated with depression at 3 months after ICH, suggesting that NLR may be a significant biomarker to predict depression after ICH.

Thermotherapy Combined With Therapeutic Exercise Improves Muscle Strength and Depression in Patients With Ischemic Stroke

PURPOSE

The study examined the effect of home-based thermotherapy combined with therapeutic exercise on muscle strength and depression in patients with ischemic stroke via a weekly evaluation over 4 weeks.

DESIGN/METHODS

A quasi-experimental, pre-/posttest research design without a control group was employed. A total of 22 patients participated. Self-reported daily logs were used to evaluate intervention adherence over the study period. The manual muscle testing and Aphasic Depression Rating Scale were administered at baseline and weekly for 4 weeks.

RESULTS

Muscle strength in both the upper and lower limbs significantly increased (p < .05), whereas the depression score significantly decreased (p < .05).

CONCLUSION

The intervention increased muscle strength and decreased depression during the first 3 months after stroke onset. The significant effects were found beginning during the third week of the intervention.

CLINICAL RELEVANCE

This intervention is inexpensive and can be easily applied by caregivers at home.

Depression treatment use among stroke individuals with depression: A cross-sectional analysis of the Medical Expenditure Panel Survey

BACKGROUND

Depression is the most prevalent psychiatric comorbidity among stroke individuals. Despite the effectiveness of antidepressants and psychotherapy, data on the use of these treatments among stroke survivors is limited.

OBJECTIVE

The main objective of this study was to document prevalence of antidepressant use, types of antidepressants utilized, and adherence to antidepressants among stroke individuals.

METHODS

Retrospective, cross-sectional data obtained from the Medical Expenditure Panel Surveys (MEPS), for the years 2011, 2013 and 2015, was utilized for this study. Treatment for depression was categorized into three mutually exclusive categories: 1) antidepressants only, 2) antidepressants and psychotherapy (combination), and 3) No treatment. Adherence to antidepressants was measured using the Proportion of Days Covered (PDC) ratio. Adherence between antidepressant only and combination therapy group was compared using Student's t-test. A multinomial logistic regression analysis was used to further examine the association between patient characteristics and likelihood of receiving depression treatment.

RESULTS

A total of 759 stroke individuals with comorbid depression were identified. Of these, 51.2% utilized only antidepressants, 12.6% utilized a combination treatment of antidepressants and psychotherapy and 31.7% did not receive treatment for depression. Selective Serotonin Reuptake Inhibitors (SSRI's) was the most commonly used antidepressants in the stroke population. Males (P = 0.04), age group of 40-64 years (P < 0.001), and African Americans (P = 0.02) constituted for the highest proportions of untreated stroke survivors. Among treated stroke individuals, adherence was higher for combination therapy users compared to those using antidepressants only (mean PDC = 65.8 ± 6.89 and 57.6 ± 3.74, respectively).

CONCLUSION

Almost 70% of stroke individuals received some form of treatment for depression and several patient-related factors (gender, age, race, marital status, and comorbidity burden) were associated with the utilization of depression treatment. Future researchers need to investigate the factors responsible for lack of depression treatment in stroke individuals and policy makers should aim for a more patient centered care.

Sex differences in 90-day outcomes after mechanical thrombectomy for acute ischemic stroke

Background

It is largely unknown whether functional outcomes after mechanical thrombectomy for large vessel occlusion (LVO) ischemic strokes differ by sex in non-clinical trial populations. We investigated sex differences in 90-day outcomes among ischemic stroke patients receiving mechanical thrombectomy.

Methods

This was a prospective cohort of adults treated with mechanical thrombectomy for LVO at a single academic comprehensive stroke center from July 2015 to April 2017. Data on independence (mRS ≤2) at hospital discharge and 90 days were collected prospectively. Multiple logistic regression was used to determine the association between sex and 90-day independence, first adjusting for demographics, pre-stroke mRS, and NIHSS, then by co-morbidities and time to thrombectomy, and finally by vessel recanalization and use of intravenous thrombolysis.

Results

We included 279 patients, 52% of whom were female. Compared with males, females were older (median years (IQR) 81 (75–88) vs. 71.5 (60–81), P<0.001) and had higher baseline NIHSS (mean SD 18.2±7.5 vs . 16.0±7.1, P=0.02). Similar proportions of males and females had pre-stroke mRS ≤2 (73.3% vs.67.1%, P=0.27). In multivariate analyses, males and females had a similar likelihood of being independent at discharge (aOR 0.71 (95%CI 0.32 to 1.58)), but females were less likely to be independent at 90 days (aOR 0.37 95% CI 0.16 to 0.87).

Conclusions

In patients treated with mechanical thrombectomy for LVOs at a large comprehensive stroke center, females were less likely to be independent at 90 days. Future research should investigate contributors to poor outcomes post-discharge in females with LVOs, along with potential interventions to improve outcomes.

Prevalence, patterns and predictors of depression treatment among community-dwelling older adults with stroke in the United States: a cross sectional study

BACKGROUND

Depression is one of the most common psychiatric conditions among stroke survivors and is associated with several negative health outcomes. However, little is known about the depression treatment patterns among stroke survivors. The objective of this study was to examine national-level prevalence, patterns and predictors of depression treatment among community-dwelling stroke survivors.

METHODS

This study adopted a retrospective, cross-sectional study design using multiple years of Medical Expenditure Panel Survey (MEPS) (2002-2012) data. The study population consisted of older adults (age ≥ 50 years) who (i) were stroke survivors (ICD-9-CM codes of 430-438), (ii) did not die during the calendar year, and (iii) had co-occurring depression (ICD-9-CM code of 296.xx, or 311.xx). Depression treatment, identified by antidepressant medication and/or psychotherapy use, was the dependent variable of this study. Multinomial logistic regression analysis was conducted to examine the association of individual level factors with depression treatment among stroke survivors with co-occurring depression.

RESULTS

The final study sample consisted 370 (unweighted) community-dwelling older adults with self-reported stroke and depression. The prevalence of co-occurring depression among stroke survivors was 22.03% [95% Confidence Interval (CI) 19.7-24.4%]. An overwhelming majority (87.6%) of stroke survivors with co-occurring depression reported some form of depression treatment. Antidepressants only and combination therapy was reported by 74.8% (95% CI, 71.6-78.0%] and 12.8% (95% CI, 10.5-15.1%) by stroke survivors with co-occurring depression respectively. Approximately, 61% of stroke survivors with co-occurring depression reported using SSRIs, followed by SNRIs (15.2%), miscellaneous antidepressants (12.1%), TCAs (9.8%), phenylpiperazine antidepressants (5.2%), and tetracyclic antidepressants (4%). Sertraline (15.8, 95% CI, 12.7-19.0%) had the highest reported use among individual antidepressants.

CONCLUSIONS

Vast majority (nearly 90%) of the study sample received some form of depression treatment and several individual level factors (such as age, education) were associated with the report of depression treatment use. Future longitudinal studies are warranted to assess the comparative treatment benefits of antidepressants, psychotherapy and their combination. Healthcare providers should carefully assess the risks and benefits of antidepressant (such as SSRIs or TCAs) use in this vulnerable population prior to their use.

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.

Functional Outcomes, Subsequent Healthcare Utilization, and Mortality of Stroke Postacute Care Patients in Taiwan: A Nationwide Propensity Score-matched Study

OBJECTIVE

To evaluate the benefits of the national stroke postacute care (PAC) program on clinical outcomes and subsequent healthcare utilization.

DESIGN

Propensity score-matched case-control study using the National Health Insurance data.

PARTICIPANTS

A total of 1480 stroke cases receiving PAC services and 3159 matched controls with similar stroke severity but without PAC services.

MEASUREMENTS

Demographic characteristics, functional outcomes (modified Rankin Scale, Barthel Index, Lawton-Brody Instrumental Activities of Daily Living, Functional Oral Intake Scale, Mini-Nutritional Assessment, Berg Balance Test, Usual Gait Speed Test, 6-Minute Walk Test, Fugl-Meyer Assessment (modified sensation and motor), Mini-Mental State Examination, Motor Activity Log, and the Concise Chinese Aphasia Test), subsequent healthcare utilization (90-day stroke re-admission and emergency department visits), and 90-day mortality.

RESULTS

After propensity score matching, baseline characteristics, stroke severity, and status of healthcare utilization before index stroke admission were similar between cases and controls. After PAC services, the case group obtained significant improvement in all functional domains and may have reduced subsequent disability. Among all functional assessments, balance was the most significantly improved domain and was suggestive for the reduction of subsequent falls risk and related injuries. Compared with controls, patients receiving PAC services had significantly lower 90-day hospital re-admissions [11.1% vs 21.0%, adjusted odds ratio (aOR) 0.47 with 95% confidence interval (CI) 0.34-0.64], stroke-related re-admissions (2.1% vs 8.8%, aOR 0.22, 95% CI 0.12-0.41), and emergency department visits (13.5% vs 24.0%, aOR 0.49, 95% CI 0.37-0.65), but the 90-day mortality rate remained similar between groups (1.4% case group vs 2.0% control group, aOR 0.68, 95% CI 0.29-1.62).

CONCLUSIONS

PAC significantly improved the recovery of stroke patients in all functional domains through the program, with universal interorganizational staff training, periodic functional assessment, and high-intensity rehabilitation. Further longitudinal research is needed to evaluate the long-term survival benefits and healthcare utilization.

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.

Factors that influence the severity of post-stroke depression

AIM

The aim of this paper was to investigate whether the extent of neurological impairment, the location of ischemic lesions due to stroke are associated with the severity of post-stroke depression.

MATERIALS AND METHODS

The study included 82 patients, who were diagnosed with acute ischemic stroke and post-stroke depression and were admitted to the Neurology Clinic of Cluj-Napoca County Emergency Hospital between 2009 and 2011. A head MRI was performed with a 1.5 Tesla. Psychometric assessment was performed by using several scales, including the Beck Depression Inventory and the Mini-Mental State Examination. The National Institutes of Health Stroke Scale (NIHSS) and the Barthel Index of Activities of Daily Living were used to produce a complete neurological assessment.

RESULTS

Patients with severe depression had a lower score on the Quality of Life Scale (QOLS) and higher scores for the Barthel index, NIHSS and MMSE. A stroke located in the basal nuclei increased the probability of severe depression. The patients with fewer lesions (1-2) had a greater chance of developing mild or moderate depression compared to the patients with 3-4 lesions. A frontal localization of the stroke was almost twice as common in patients with severe depression. If the stroke affected the left hemisphere, there was a higher probability of severe depression. In multivariate analysis, a basal nuclei lesion, a left hemisphere stroke location, and an NIHSS score >11 were all independently associated with severe depression.

CONCLUSION

The location of the stroke and the NIHSS score could be related to the severity of post-stroke depression. Abbreviations: NIHSS = The National Institutes of Health Stroke Scale; QQL = Quality of life Scale; BDI = Beck Depression Inventory; MMSE = Mini-Mental State Examination; PSD = Post-stroke depression; MRI = Magnetic resonance imaging.

On the road to epigenetic therapy

In this issue of the Biomedical Journal, we examine how far the explosion of epigenetic studies in recent years has translated to benefits for patients in the clinic, and we highlight an original study suggesting that increased vegetable intake protects against osteoporotic fractures. We also hear several opinions on the use, or perhaps misuse, of Impact Factor and what the future should hold for this publication metric.