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

Prevalence and clinical correlates of abnormal lipid metabolism in older Chinese patients with first-episode drug-naïve major depressive disorder

BACKGROUND

Older major depressive disorder (MDD) patients have more complex clinical symptoms and higher abnormal lipid metabolism (ALM) rates. This study aimed to compare clinical differences between those with and without ALM in a sample of older first-episode drug naïve (FEDN) patients.

METHODS

We recruited 266 older MDD patients. Socio-demographic variables, clinical data, and lipid parameters were obtained. The Hamilton Depression Rating Scale (HAMD), Hamilton Anxiety Rating Scale (HAMA), and the positive subscale of the Positive and Negative Syndrome Scale (PANSS-P) were conducted to evaluate patients' depression, anxiety and psychotic symptoms, respectively.

RESULTS

In this study, we found that the prevalence of comorbid ALM was 86.1% in older MDD patients. Compared with the non-abnormal lipid metabolism (NALM) group, the ALM group had a higher duration of illness, higher clinical global impression of severity scale (CGI-S) and HAMD scores, higher thyroid stimulating hormone (TSH) and glucose levels. Logistic regression analysis indicated that duration of illness (OR = 1.11, P = 0.023, 95%CI = 1.015-1.216) and CGI-S score (OR = 2.28, P = 0.014, 95%CI = 1.18-4.39) were associated with ALM in older MDD patients.

CONCLUSION

The importance of regular lipid assessment in older MDD patients needs to be taken into account.

Higher homocysteine and fibrinogen are associated with early-onset post-stroke depression in patients with acute ischemic stroke

Background

Post-stroke depression (PSD) is a well-established psychiatric complication following stroke. Nevertheless, the relationship between early-onset PSD and homocysteine (Hcy) or fibrinogen remains uncertain.

Methods

Acute ischemic stroke (AIS) patients who met the established criteria were enrolled in this study. Early-onset PSD was diagnosed two weeks after the stroke. The severity of depressive symptoms was assessed by the Hamilton Depression Scale-17 items (HAMD-17), with patients scored ≥7 assigned to the early-onset PSD group. Spearman rank correlation analysis was employed to evaluate the associations between Hcy, fibrinogen, and HAMD scores across all patients. Logistic regression analysis was conducted to investigate the relationship between Hcy, fibrinogen, and early-onset PSD. Receiver operating characteristic curve (ROC) analysis was ASSDalso performed to detect the predictive ability of Hcy and fibrinogen for early-onset PSD.

Results

Among the 380 recruited patients, a total of 106 (27.89%) patients were diagnosed with early-onset PSD. The univariate analysis suggested that patients in the PSD group had a higher admission National Institutes of Health Stroke Scale (NIHSS) score, modified Rankin Scale score (mRS), Hcy, and fibrinogen levels than patients in the non-PSD group (P<0.05). The logistic regression model indicated that Hcy (odds ratio [OR], 1.344; 95% confidence interval [CI] 1.209-1.494, P<0.001) and fibrinogen (OR, 1.57 6; 95% CI 1.302-1.985, P<0.001) were independently related to early-onset PSD. Area under curve (AUC) of Hcy, fibrinogen, and Hcy combined fibrinogen to predict early-onset PSD was 0.754, 0.698, and 0.803, respectively.

Conclusion

This study indicates that Hcy and fibrinogen may be independent risk factors for early-onset PSD and can be used as predictive indicators for early-onset PSD.

Depression following small vessel stroke is common and more prevalent in women

OBJECTIVES

We sought to examine the frequency of depression after small vessel-type stroke (SVS) and associated risk factors.

MATERIALS AND METHODS

We conducted a retrospective analysis of a prospective cohort of patients enrolled in the American Stroke Association-Bugher SVS Study, which included 200 participants within 2-years of SVS and 79 controls without a history of stroke from 2007 to 2012 at four sites. The primary outcome was PHQ-8, with scores ≥10 consistent with post-stroke depression (PSD). A logistic regression adjusted for age, race, sex, history of diabetes and Short-Form Montreal Cognitive Assessment score (SF-MoCA) was used to compare the risk of having depression after SVS compared to controls. Another logistic regression, adjusted for age, sex, race, level of education, SF-MoCA, white matter disease (WMD) burden, stroke severity (NIHSS), time between stroke and depression screen, history of diabetes, and history of hypertension was used to identify factors independently associated with depression in participants with SVS.

RESULTS

The cohort included 161 participants with SVS (39 excluded due to missing data) and 79 controls. The mean interval between stroke and depression screening was 74 days. Among participants with SVS, 31.7% (n = 51) had PSD compared to 6.3% (n = 5) of controls (RR = 5.44, 95% CI = 2.21-13.38, p = 0.0002). The only two variables independently associated with PSD in participants with SVS were female sex (RR = 1.84, 95% CI = 1.09-3.09, p = 0.020) and diabetes (RR 1.69, 95% CI 1.03-2.79).

CONCLUSIONS

After adjusting for several demographic and clinical variables, having a SVS was associated with an approximate 5-fold increased risk of depression and was more frequent in women and in those with diabetes. The extent of WMD was not independently associated with PSD, suggesting that small vessel disease in the setting of an overt SVS may not account for the increased prevalence of depression.

Post-stroke dizziness, depression and anxiety

OBJECTIVE

Vestibular and psychiatric disorders are very closely related. Previous research shows that the discomfort and dysfunction caused by dizziness in patients can affect psychological processes, leading to anxiety and depression, and the irritation of anxiety and depression can aggravate the discomfort of dizziness. But the causal relationship between dizziness in the recovery period of stroke and Post-stroke depression (PSD) / Post-stroke anxiety (PSA) is not clear. Identifying the causal relationship between them can enable us to conduct more targeted treatments.

METHODS

We review the epidemiology and relationship of dizziness, anxiety, and depression, along with the related neuroanatomical basis. We also review the pathophysiology of dizziness after stroke, vestibular function of patients experiencing dizziness, and the causes and mechanisms of PSD and PSA. We attempt to explore the possible relationship between post-stroke dizziness and PSD and PSA.

CONCLUSION

The treatment approach for post-stroke dizziness depends on its underlying cause. If the dizziness is a result of PSD and PSA, addressing these psychological factors may alleviate the dizziness. This can be achieved through targeted treatments for PSD and PSA, such as psychotherapy, antidepressants, or anxiolytics, which could indirectly improve dizziness symptoms. Conversely, if PSA and PSD are secondary to vestibular dysfunction caused by stroke, a thorough vestibular function assessment is crucial. Identifying the extent of vestibular impairment allows for tailored interventions. These could include vestibular rehabilitation therapy and medication aimed at vestibular restoration. By improving vestibular function, secondary symptoms like anxiety and depression may also be mitigated.

Post-Stroke Depression in Older Adults: An Overview

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

Lesion location and serum levels of homocysteine are associated with early-onset post-stroke depression in acute ischemic stroke

INTRODUCTION

It is well known that post-stroke depression (PSD) is a psychiatric complication after stroke which leads to worse functional outcome and poorer quality of life. Some risk factors including gender, stroke severity, lesion location, homocysteine (HCY), and so on are associated with PSD. This study aims to further explore the possible relationship between serum levels of HCY and early-onset PSD and the predictive value of HCY combined with stroke characteristics for early-onset PSD.

METHODS

Two hundred forty-five patients with acute ischemic stroke who met the criteria were included in this study from March 2015 to March 2017. PSD was diagnosed at 2 weeks after stroke. The severity of depressive symptoms was evaluated with the Hamilton depression scale 17 items (HAMD-17), and patients with HAMD scores ≥7 were included in the PSD group. The demographic data, clinical characteristics, serum levels of HCY, and detailed radiological variables (e.g., lesion location and quantity of the brain infarct) were also examined.

RESULTS

In total, 97 (39.6%) patients of the 245 patients were diagnosed with depression. The univariate analyses suggested that patients in PSD group had a higher NIHSS score, modified Rankin Scale score, and HCY levels than patients in non-PSD group (p < .001). The patients with PSD had higher proportion of multiple-site acute infarcts and frontal lobe lesion (p < .05). In multivariate logistic regression analysis, NIHSS score at admission, serum levels of HCY, and multiple-site lesions were independently related to early-onset PSD. Based on receiver operating characteristic curves analysis, the combination of HCY, NIHSS scores, multiple-site lesions, and lesion location revealed a highest area under the curve of 0.807 (95% confidence interval [CI]: 0.748-0.865, p < .001). Furthermore, there was a significantly increased risk of early-onset PSD associated with serum levels of HCY ≥16.98 μmol/L (odds ratio [OR] = 10.976, 95% CI: 5.585-21.573, p < .001).

CONCLUSIONS

Our study indicated that higher NIHSS score, elevated serum levels of HCY, and multiple-site lesions may be independent risk factors of early-onset PSD. The combination of HCY, NIHSS scores, multiple-site lesions, and lesion location may provide greater predictive value than HCY alone for early-onset PSD. Early intervention for elevated serum levels of HCY may be a potential target for the intervention and prevention of PSD.

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.

Effect of hyperbaric oxygen on post-stroke depression

BACKGROUND

In patients with post-stroke depression (PSD) in diabetes, the situation may be more complex, requiring simultaneous treatment of blood glucose, depressive symptoms, and neurological dysfunction. Hyperbaric oxygen (HBO) therapy can improve tissue oxygen content and improve the situation of ischemia and hypoxia, thus playing a role in protecting brain cells and restoring the function of brain cells. However, there are few studies on HBO therapy for patients with PSD. This study explores the clinical efficacy of such therapy for stroke complicated with depression and diabetes mellitus, and to provide reference and basis for clinical treatment and development through the application of relevant rating scales and laboratory test indicators.

AIM

To evaluate the clinical effects of HBO therapy on patients with diabetes with PSD.

METHODS

A total of 190 diabetic patients with PSD were randomly divided into observation and control groups (95 patients per group). The control group received escitalopram oxalate 10mg once a day for eight weeks. In addition, the ob-servation group was also given HBO therapy, once a day, five times a week, for eight weeks. The Montgomery Depression Rating Scale (MADRS), National Institutes of Health Stroke Scale (NIHSS), hypersensitive C-reactive protein, tumor necrosis factor (TNF)-α, and fasting glucose levels were compared.

RESULTS

There were no significant differences in age, sex, or depression course between the groups (P > 0.05). After HBO treatment, MADRS scores in both groups decreased significantly (14.3 ± 5.2), and were significantly lower in the control group (18.1 ± 3.5). After HBO treatment, NIHSS scores in both groups decreased significantly, and scores in the observation group (12.2 ± 4.0) decreased more than in the control group (16.1 ± 3.4), the difference was statistically significant (P < 0.001). The levels of hypersensitive C-reactive protein and TNF-α in both groups were significantly decreased, and the observation group was significantly lower than the control group (P < 0.001). Fasting blood glucose levels in both groups decreased significantly, and those in the observation group decreased more (8.02 ± 1.10) than in the control group (9.26 ± 1.04), with statistical significance (t = -7.994, P < 0.001).

CONCLUSION

HBO therapy can significantly improve depressive symptoms and neurological dysfunction in patients with PSD, and reduce the levels of hypersensitive C-reactive protein, TNF-α and fasting blood glucose.

Malnutrition and poststroke depression in patients with ischemic stroke

BACKGROUND

Identifying high-risk patients based on modifiable clinical characteristics, such as malnutrition, is critical to intervening with these variables to reduce the risk of post-stroke depression (PSD). The aim of this study was to investigate the effect of nutritional status on the risk of incident PSD and the trajectory of PSD risk.

METHODS

Consecutive patients with acute ischemic stroke were recruited in this observational cohort and followed up for 1 year. Multivariate logistic regressions and multilevel mixed-effects logistic regressions with random intercepts and slopes were used to investigate the effects of nutritional indexes [the Controlling Nutritional Status (CONUT) score, the Nutritional Risk Index (NRI), and the Prognostic Nutritional Index (PNI)] and body mass index (BMI) on the risk of incident PSD and the trajectory of PSD risk over the 12-month observation period.

RESULTS

A total of 538 patients were included in the final analysis. Worsening CONUT [odds ratio (OR) = 1.36; confidence interval (CI): 1.15-1.61], NRI (OR = 0.91; CI: 0.87-0.96) and PNI (OR = 0.89; CI: 0.84-0.95) scores were significantly associated with an increased risk of incident PSD. Moderate and severe risk malnutrition statuses were associated with higher incidences of PSD regardless of the malnutrition index (CONUT, NRI or PNI). Additionally, PSD risk decreased over time with a significant two-way interaction between time and CONUT, NRI, and PNI, implying that patients with elevated exposure to malnutrition showed a slower decline in PSD risk. BMI had no significant effect on the occurrence and development of PSD.

CONCLUSION

Malnutrition, but not BMI, was associated with a higher probability of incident PSD and was more likely to lead to a slower rate of decline in PSD risk.

Biological, Psychiatric, Psychosocial, and Cognitive Factors of Poststroke Depression

BACKGROUND

Depression is the most common psychiatric condition that occurs after cerebrovascular accident, especially within the first year after stroke. Poststroke depression (PSD) may occur due to environmental factors such as functional limitations in daily activities, lower quality of life, or biological factors such as damage to areas in the brain involved in emotion regulation. Although many factors are hypothesized to increase the risk of PSD, the relative contribution of these factors is not well understood.

PURPOSE

We evaluated which cross-sectional variables were associated with increased odds of PSD in our adult outpatient stroke neuropsychology clinic population.

METHODS

The sample included 325 patients (49.2% female; mean age of 59-years old) evaluated at an average of 8.1 months after an ischemic or hemorrhagic stroke. Variables included in logistic regression were stroke characteristics, demographics, psychosocial factors, comorbid medical problems, comorbid psychiatric conditions, and cognitive status. The Mini International Neuropsychiatric Inventory was used to determine DSM-defined PSD and anxiety disorders. A standard neuropsychological test battery was administered.

RESULTS

PSD occurred in 30.8% of the sample. Logistic regression indicated that increased odds of PSD were associated with a comorbid anxiety disorder (5.9 times more likely to suffer from PSD, p < 0.001). Further, increased odds of PSD were associated with a history of depression treatment before stroke (3.0 times more likely to suffer from PSD), fatigue (2.8 times more likely), memory impairment (2.4 times more likely), and younger age at stroke (all p values < 0.006).

DISCUSSION

Results suggest that PSD is likely multifactorial and extends the literature by demonstrating that a comorbid anxiety disorder correlated strongest with PSD. Poststroke screening and treatment plans should address not only depression but comorbid anxiety.

Development of a tailored intervention targeting sedentary behavior and physical activity in people with stroke and diabetes: A qualitative study using a co-creation framework

Purpose

Type 2 diabetes and sedentary behavior pose serious health risks in stroke survivors. Using a co-creation framework, this study aimed to develop an intervention in collaboration with stroke survivors with type 2 diabetes, relatives, and cross-sectoral health care professionals to reduce sedentary behavior and increase physical activity.

Materials and methods

This qualitative explorative study used a co-creation framework consisting of a workshop and focus group interviews with stroke survivors with type 2 diabetes (n = 3), relative (n = 1), and health care professionals (n = 10) to develop the intervention. A content analysis was used to analyze data.

Results

The developed "Everyday Life is Rehabilitation" (ELiR) intervention consisted of a tailored 12-week home-based behavior change intervention with two consultations of action planning, goal setting, motivational interviewing, and fatigue management including education on sedentary behavior, physical activity, and fatigue. The intervention has a minimalistic setup using a double-page paper "Everyday Life is Rehabilitation" (ELiR) instrument making it implementable and tangible.

Conclusions

In this study, a theoretical framework was used to develop a tailored 12-week home-based behavior change intervention. Strategies to reduce sedentary behavior and increase physical activity through activities of daily living along with fatigue management in stroke survivors with type 2 diabetes were identified.

Higher levels of peripheral blood glucose in the acute stage of stroke increase the risk of Post-stroke Depression: A Systematic Review and Meta-Analysis

BACKGROUND

Multiple investigations have shown that diabetes mellitus is a predictor of post-stroke depression (PSD). However, whether elevated levels of fasting plasma glucose (FPG) and hemoglobin A1c (HbA1c) are associated with an increased risk of PSD remains controversial.

METHODS

We comprehensively searched databases for eligible studies. Standard mean differences and 95% confidence intervals were used to examine the relationship between peripheral blood glucose levels during the acute phase of stroke and the risk of PSD. Narrative syntheses and meta-analyses were conducted when appropriate unadjusted or adjusted ORs were available.

RESULTS

A total of 21 prospective cohort studies were included in the analysis. PSD patients had significantly higher peripheral blood glucose levels than non-PSD patients (FPG: SMD, 0.28, 95% CI, 0.11-0.45, p＜0.01, HbA1c: SMD, 0.49, 95%CI, 0.20-0.78, p＜0.01, respectively). In the subgroup analyses by classifying the time point of depression assessment, HbA1c was more statistically significant associated with the risk of PSD than FPG. Differences in the prevalence of diabetes were not heterogeneity sources.

CONCLUSION

Higher levels of peripheral blood glucose in the acute phase of stroke increase the risk of PSD. HbA1c might be a better biomarker for the risk of PSD than FPG.

Factors Affecting Post-Stroke Depression in Acute Ischemic Stroke Patients after 3 Months

Post-stroke depression (PSD) affects approximately one-third of stroke patients. PSD not only impairs recovery and lowers quality of life, but has also serious neurological consequences, high mortality, and stroke recurrence risks. Studies on PSD-related prognostic factors are still lacking, especially environmental factors. Moreover, relieving factors after PSD in stroke patients has not been reported. This study aimed to investigate (study design 1) risk factors for PSD diagnosis after three months, and (study design 2) related factors for the relieving of early PSD after three months. This retrospective study included 227 patients hospitalized for acute ischemic stroke within three days at Jeonbuk National University Hospital from January to December 2019. The depressive status was assessed using the Hamilton Depression Rating Scale (HDRS) at admission and after three months. Clinical and laboratory data were analyzed for relevant prognostic factors. (Study design 1) HDRS score at admission (adjusted odds ratio (aOR) 1.22, 95% confidence interval (CI) 1.14–1.31; p < 0.001) and hospitalization period (aOR 1.11, 95% CI 1.02–1.20; p = 0.013) were confirmed as prognostic factors of PSD after three months. (Study design 2) The National Institute of Health Stroke Scale (NIHSS) score at discharge (aOR 0.80, 95% CI 0.68–0.94; p = 0.006) and HDRS score at admission (aOR 0.80, 95% CI 0.71–0.89; p < 0.001) were confirmed as prognostic factors of depression improvement after three months. In conclusion, environmental factors such as hospitalization period could be important in managing PSD. Factors related to PSD improvement are expected to be helpful in establishing a strategy for PSD recovery.

Effect of the Interaction between Depression and Sleep Disorders on the Stroke Occurrence: An Analysis Based on National Health and Nutritional Examination Survey

OBJECTIVE

To investigate the effect of the interaction between depression and sleep disorders on the stroke occurrence based on the data from the National Health and Nutritional Examination Survey (NHANES).

METHODS

Seven cycles of 2-year NHANES data (2005-2018) were analyzed in this study. Univariate analysis was first performed between the stroke and nonstroke patients, and then, multivariate logistic regression models were conducted to analyze the association of depression, sleep disorders, and their interactions with stroke occurrence.

RESULTS

A total of 30473 eligible participants were included in this study, including 1138 (3.73%) with stroke and 29335 (96.27%) with nonstroke. Except sex, the differences were all significant between the stroke and nonstroke patients in baseline information (all P < 0.001). Depression (odds ratio (OR): 2.494, 95% confidence interval (CI): 2.098-2.964), depression severity (moderate, OR: 2.013, 95% CI: 1.612-2.514; moderately severe, OR: 2.598, 95% CI: 1.930-3.496; severe, OR: 5.588, 95% CI: 3.883-8.043), and sleep disorders (OR: 1.677, 95% CI: 1.472-1.910) were presented to be associated with an increased risk of stroke after correcting all the confounders. The logistic regression analysis showed that there was a synergic, additive interaction between depression and sleep disorders on the stroke occurrence, and the proportion of stroke patients caused by this interaction accounted for 27.1% of all the stroke patients.

CONCLUSION

Depression, depression severity, and sleep disorders are all independently associated with a high risk of stroke. The interaction between depression and sleep disorders can synergistically increase the stroke occurrence.

Low vitamin D levels and the long-term functional outcome of stroke up to 5 years

BACKGROUND AND PURPOSE

Previous studies have established that vitamin D was associated with stroke. The purpose of this study was to investigate the relationship between vitamin D and 5-year outcome of patients with stroke including acute ischemic stroke (AIS) and intracranial hemorrhage (ICH) stroke.

METHODS

Serum 25-hydroxyvitamin D levels were prospectively analyzed in patients admitted to the First Affiliated Hospital of Wenzhou Medical University from 2013 to 2015. Modified Rankin scale (mRS) was used to evaluate their 5-year functional outcome, and univariate and multivariate logistic regressions were applied to evaluate the effects of vitamin D on stroke outcome.

RESULTS

In total, 668 patients diagnosed with stroke were recruited, and 420 completed the 5-year follow-up. Ninety-five patients experienced poor outcome in the 5 years since stroke onset. Vitamin D levels in patients with poor outcome showed significant differences compared to good outcome patients (p < .001). In multivariable logistic regression analysis, after adjusting the potential confounders, the 5-year functional outcome was significantly associated with vitamin D levels. Stroke patients with vitamin D levels less than 38.4 nmol/L had a higher risk for poor outcome compared with those with vitamin D level over 71.4 nmol/L at 5-year (odds ratio [OR] = 3.66, 95% confidence interval [CI] = 1.42-9.45, p = .007), which was consistent with AIS patients (OR = 6.36, 95% CI = 1.89-21.44, p = .003).

CONCLUSION

Vitamin D level less than 38.4 nmol/L at admission is a potential risk biomarker for poor functional outcome at 5-year prognosis in AIS patients, which might provide new ideas for the prognostic assessment of stroke.

Obesity and Poststroke Fatigue: A 2-Year Longitudinal Study

Introduction

Obesity is associated with fatigue in many diseases, but the correlation between obesity and poststroke fatigue (PSF) is unclear. The study aimed to investigate the relationship between body mass index (BMI) and the occurrence of and recovery from PSF.

Methods

Within 3 days of the onset of ischemic stroke, patients were consecutively recruited. We assessed PSF at admission and at 6, 12, and 24 months with the Fatigue Severity Scale (FSS). Multivariable logistic regression and restricted cubic spline function were used to explore the relationships between baseline BMI and the risk of PSF at different time points. The correlation between baseline BMI and the dynamic changes in the natural logarithm transformation of the FSS (lnFSS) score during the follow-up period was analyzed by the piecewise linear mixed-effects model.

Results

A total of 1026 stroke patients were included. Multivariable analyses indicated that obesity was associated with a decreased risk of early PSF (fatigue diagnosed at baseline) [odds ratio (OR) 0.61, 95% confidence interval (CI) 0.41–0.93] but an increased risk of late PSF (fatigue diagnosed 6 months after the index stroke) (OR 1.63, 95% CI 1.06–2.50 for 6 months; OR 1.87, 95% CI 1.18–2.96 for 12 months; OR 2.11, 95% CI 1.28–3.49 for 24 months). Longitudinal analyses indicated that in the late stage of fatigue, the higher the BMI category, the slower the rate of decrease was for the FSS score.

Conclusion

Obese patients are less likely to develop fatigue in the acute stage of ischemic stroke. However, they are more prone to late fatigue and exhibit a slower decline in the FSS score in the long term.

Supplementary Information

The online version contains supplementary material available at 10.1007/s40120-021-00276-x.

Nutritional Supplements and Neuroprotective Diets and Their Potential Clinical Significance in Post-Stroke Rehabilitation

Nutrition and rehabilitation are crucial in post-stroke recovery, especially in the elderly. Since stroke is the leading cause of long-term disability, there is a need to promote special, individually tailored nutrition strategies targeting older patients with low motor ability. Chronic stroke survivors have higher risk of developing nutrition-related chronic diseases, such as sarcopenia, anemia, type 2 diabetes mellitus and osteoporosis. Moreover, reduced motor activity, cognitive impairment and depression might be aggravated by poor malnutrition status. Accumulated data suggest that nutritional supplements and neuroprotective diets can be associated with better effectiveness of post-stroke rehabilitation as well as brain recovery. Therefore, this review focuses on preventive strategies that can improve dietary intake and change dietary patterns. We highlight the importance of neuroprotective diets, the problem of dysphagia and the role of nutrition in rehabilitation. This article focuses on potential nutritional supplements and neuroprotective diets that may have an impact on functional recovery during and after rehabilitation. Moreover, a new approach to post-stroke neuroplasticity including the use of agents from marine sources such as fucoxanthin and tramiprosate as compounds that might be used as potential neuroprotectants with antioxidative and anti-inflammatory properties is introduced.

Paradoxical effect of statin medication on depressive disorder in first-ever ischemic stroke patients: possible antidepressant-like effect prestroke and the opposite in continuous medication poststroke

Poststroke depression (PSD) is the most frequent complication after stroke. Statin is a widely used prophylactic for stroke. However, some researchers reported that poststroke statin may lead to a depressive change in stroke patients. We aimed to study the effect of different statin medication timing especially prestroke timing on PSD to adopt appropriate intervention around stroke. Patients with first-ever ischemic stroke were consecutively observed from January 2012 to June 2017. They were grouped by different initiation time of statin treatment. The follow-up endpoints were set to: (1) diagnosis of PSD within 1-year and (2) censor data. Cox regression model adjusted for confounding factors was performed. A total of 1571 patients were included in the analyses, among which 210 (13.4%) were comorbided with PSD, and the median time of the course was 30 (14-98) days. The patients who received both pre- and poststroke statin treatment had 1.99 times (P = 0.037) the hazard faced by patients who did not receive that medication. In contrast, sole statin pretreatment may have the tendency to reduce the risk of PSD. Our findings provide the primary results for the prestroke statin medication. The initiation timing of continuous regular statin treatment ahead of ischemic stroke could have a correlation with a higher risk of PSD.

Relationship Between Abnormalities in Resting-State Quantitative Electroencephalogram Patterns and Poststroke Depression

PURPOSE

Spectral power analysis of quantitative EEG has gained popularity in the assessment of depression, but findings across studies concerning poststroke depression (PSD) have been inconsistent. The goal of this study was to determine the extent to which abnormalities in quantitative EEG differentiate patients with PSD from poststroke nondepressed (PSND) subjects.

METHODS

Resting-state EEG signals of 34 participants (11 patients with PSD and 23 PSND subjects) were recorded, and then the spectral power analysis for six frequency bands (alpha1, alpha2, beta1, beta2, delta, and theta) was conducted at 16 electrodes. Pearson linear correlation analysis was used to investigate the association between depression severity measured with the Hamilton Depression Rating Scale (HDRS) total score and absolute power values. In addition, receiver operating characteristic curves were used to assess the sensitivity and specificity of quantitative EEG in discriminating PSD.

RESULTS

In comparison with PSND patients, PSD patients showed significantly higher alpha1 power in left temporal region and alpha2 power at left frontal pole. Higher theta power in central, temporal, and occipital regions was observed in patients with PSD. The results of Pearson linear correlation analysis showed significant association between HDRS total score and the absolute alpha1 power in frontal, temporal, and parietal regions.

CONCLUSIONS

Absolute powers of alpha and theta bands significantly distinguish between PSD patients and PSND subjects. Besides, absolute alpha1 power is positively associated with the severity of depression.

Early-Onset Depression in Stroke Patients: Effects on Unfavorable Outcome 5 Years Post-stroke

Background: Post-stroke depression (PSD) constitutes an essential complication of stroke and is associated with high-risk unfavorable outcome after stroke. The main objective of this prospective study was to determine the relationship between early-onset PSD (1 month after stroke) and functional outcomes 5 years after baseline enrollment. Methods: Four hundred thirty-six patients who met the criteria were included in this study from October 2013 to February 2015. The follow-up time for each patient was ~5 years, with follow-up every 3 months. Patients received questionnaires including the 17-item Hamilton Depression Scale (HAMD), the Mini-Mental State Examination (MMSE), the National Institutes of Health Stroke Scale (NIHSS), the modified Rankin Scale (mRS), and the Barthel Index (BI). Results: Of the 436 patients, 154 (35.3%) patients with the prevalence of PSD status at baseline, 26 (7.2%) patients with the prevalence of PSD status, and 73 (20.1%) had an unfavorable outcome 5 years after stroke. The odds ratio (OR) for unfavorable outcome at 5 years in the PSD group was ~2.2 relative to the non-PSD group after adjusting for potential risk factors [OR = 2.217, 95% confidence interval (CI) = 1.179-4.421, P = 0.015]. In the early-onset PSD group, HAMD scores were independently associated with 5-year unfavorable outcome rates (OR = 1.168, 95% CI = 1.015-1.345, P = 0.031). Conclusions: Our findings indicate that early-onset PSD status in Chinese patients is an independent risk factor for unfavorable outcome 5 years after stroke, and that the severity of PSD is also related to unfavorable outcome.

Periventricular White Matter Hyperintensity in Males is Associated with Post-Stroke Depression Onset at 3 Months

OBJECTIVE

This study aimed to explore the correlation between white matter hyperintensity (WMH) and post-stroke depression (PSD) at 3 months, and to further investigate sex differences in the pathogenesis of PSD.

METHODS

A total of 238 consecutive patients with acute cerebral infarction were recruited. PSD was assessed at 2 weeks and at 3 months after stroke onset. All stroke cases were divided into four subgroups according to the diagnosis of depression at two time nodes: continuous depression; depression remission; late-onset PSD; and continuous non-depression. The Fazekas and Scheltens visual rating scales were adopted to assess WMH.

RESULTS

Logistic regression revealed that the presence of periventricular white matter hyperintensity (PVWMH) at baseline in male patients was an independent risk factor for PSD at 3 months. Further subgroup analysis revealed that PVWMH was associated with late-onset PSD in males, but not with continuous depression 3 months after stroke. Male acute stroke patients with PVWMH at baseline were more likely to develop PSD at 3 months, especially late-onset PSD.

CONCLUSION

Our data suggest that sex differences may influence the pathogenesis of PSD.

Monocyte-to-Lymphocyte Ratio is Associated with Depression 3 Months After Stroke

PURPOSE

To explore the relationship between the monocyte-to-lymphocyte ratio (MLR) and depression three months after acute ischemic stroke.

PATIENTS AND METHODS

From May 2013 to September 2014, 203 patients with acute ischemic stroke were recruited within 7 days post-stroke from Shanghai Ruijin Hospital and blood samples were collected after admission. The Hamilton Depression Scale and Clinical Review were evaluated at 3 months after stroke. Based on the Diagnostic and Statistical Manual of Mental Disorders-IV diagnostic criteria, we divided patients into post-stroke depression (PSD) and non-PSD groups. We analyzed the intergroup difference in MLR and the contributing factors. Moreover, dynamic changes in monocytes, lymphocytes and MLR at four different time intervals for all the stroke patients and their relationship with PSD patients were also studied.

RESULTS

The NIHSS scores and MLR in the PSD group were significantly higher than in the non-PSD group (p<0.05). Logistic regression analysis revealed MLR was an independent risk factor for PSD (odds ratio: 18.020, 95% confidence interval: 1.127‒288.195, p=0.041). MLR correlated negatively with cholesterol and low-density lipoprotein (r=-0.160 and -0.165, respectively, p<0.05). Within 7 days post-acute ischemic stroke, monocytes gradually increased while lymphocytes remained unchanged for all the stroke patients. The MLR value was significantly higher in the PSD group than in the non-PSD group within 24 h post-stroke (p<0.05), but there was no difference in the other three time-intervals between the two groups.

CONCLUSION

The admission MLR, particularly within 24 h post-stroke, was associated with PSD at 3 months, implying that the MLR might be involved in the PSD inflammatory mechanism.

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.

Post-stroke depression: A 2020 updated review

BACKGROUND

Post-stroke depression (PSD) is common and associated with higher mortality, poorer recovery, more pronounced cognitive deficits, and lower quality of life than is stroke without depression. This manuscript will conduct an updated, comprehensive and clinically-useful review of the risk factors, pathophysiology, assessment, prevention, and treatment of PSD.

METHODS

This narrative review summarizes articles obtained on PubMed, Medline, EMBase, Google Scholar and the Cochrane Database. This review prioritized articles with a more robust level of evidence, such as original articles with longitudinal data and/or larger samples, randomized controlled trials, systematic reviews, and metaanalyses.

RESULTS

One hundred twenty-four articles were reviewed, of which 44 (35%) were published before 2016 and 80 (65%) that were published since 2016.

DISCUSSION

Rates of PSD range from 18 to 33%, yet it is vastly underdiagnosed and undertreated. Risk factors for PSD include female sex, history of psychiatric illness, large or multiple strokes, injuries in frontal/anterior areas or in the basal ganglia, stroke occurrence within the past year, poor social support, and pronounced disability. The pathophysiology of PSD is multifactorial and likely involves decreased levels of monoamines, abnormal neurotrophic response, increased inflammation with dysregulation of hypothalamic-pituitary-adrenal axis, and glutamate-mediated excitotoxicity. The evidence for preventive interventions for PSD is somewhat inconsistent and modest. The best treatment for PSD consists of the combination of pharmacological, psychosocial and stroke-focused interventions.

CONCLUSION

PSD is a common, treatable condition that is associated with several negative outcomes. Early detection and proper management are critical to obtain better outcomes in individuals with PSD.

Depression Characterization and Race Among Stroke Survivors Receiving Inpatient Rehabilitation

Race and ethnicity play a significant role in poststroke outcomes. This brief report describes the presence of depression among stroke survivors who received inpatient rehabilitation and whether depression differs by race. Data from eRehabData and electronic medical records were analyzed for patients who received rehabilitation after an acute ischemic or hemorrhagic stroke. Of 1501 stroke patients, 61.3% were white, 33.9% were African American, and 4.8% were of other race/ethnic backgrounds. By retrospective clinical review, depression was documented for 29.7% of stroke patients. Premorbid versus new onset of poststroke depression was documented for 13.4% and 21.6% of whites, 7.5% and 11.5% of African American, and 0% and 16.7% of patients of other race/ethnic groups. Compared with whites, African American and people of other races had a lower odds of poststroke depression (African American adjusted odds ratio = 0.52, 95% confidence interval = 0.41-0.68; other races odds ratio = 0.37, 95% confidence interval = 0.19-0.71), after adjusting for all other significant risk factors identified in the bivariate analysis (sex, hyperlipidemia, cognitive deficit, neglect). Depression was documented for one in three stroke survivors who received inpatient rehabilitation and highest among whites especially for prestroke depression. Addressing depression in rehabilitation care needs to consider individual patient characteristics and prestroke health status.

MicroRNA-140-5p: A novel circulating biomarker for early warning of late-onset post-stroke depression

We aimed to explore the circulating microRNAs biomarkers in the acute stage following cerebral ischemia to earlier warn late-onset post-stroke depression (PSD). A total of 251 consecutive patients with acute ischemic stroke were recruited. They were divided into three groups depending on whether PSD had occurred at 2 weeks or 3 months since stroke: early-onset PSD, late-onset PSD, and non-depressed group. Microarray assay was conducted to identify the different expression profiles of plasma miRNAs. Comprehensive bioinformatics analysis for their integrating putative target genes was performed. The key miRNA was validated in a larger cohort and its function was further studied in ischemic mice brain. We screened three differentially expressed miRNAs in the late-onset PSD individuals, miR-140-5p and miR-221-3p were significantly upregulated while miR-1246 was downregulated. The bioinformatics analysis demonstrated that their predicted target genes were mainly enriched in axon development and Ras signaling pathway. Logistic regression analysis revealed that miR-140-5p was an independent risk factor for late-onset PSD (P = 0.017, OR = 2.313, 95%CI 1.158 to 4.617). The miR-140-5p expression on admission was significantly positively correlated with HDRS scores assessed at 3 months after stroke (P = 0.0007). The predictive value of miR-140-5p for late-onset PSD is 83.3% sensitivity and 72.6% specificity (AUC = 0.8127, P < 0.0001). AAV-mediated overexpression of miR-140-5p decreased the protein level of IL1rap, IL1rapl1, VEGF, and MEGF10 in the ischemic mouse hippocampus and inhibited neurogenesis and capillary density. MiR-140-5p might be involved in the pathogenesis of late-onset PSD and used as a novel early warning biomarker.

Education as a moderator in the effect of diabetes on depressive symptoms in Chinese middle-aged and older adults: A population-based longitudinal study

BACKGROUND

Co-morbid diabetes and depression is common; however, little evidence was regarding the effect of education on this association. This study aimed to investigate the role of education in the effect of diabetes on depressive symptoms in China.

METHODS

We used data from the China Health and Retirement Longitudinal Study, including 6,921 participants free from depressive symptoms in three waves of cohort study from 2011. We assessed the depressive symptoms based on Center for Epidemiological Studies-Depression scale. We fitted Cox proportional hazards regression models to examine the effect of baseline diabetes on the subsequent depressive symptoms.

RESULTS

Participants with diagnosed diabetes were more likely than their nondiabetic peers to develop depressive symptoms only in 45-64 years group, with a hazard ratio of 1.30 (95% CI: 1.05, 1.61). In addition, the effect of diagnosed diabetes on depressive symptoms only occurred in participants with a diploma of primary school or below.

LIMITATIONS

Information was unavailable may offer additional explanatory power.

CONCLUSION

Our findings suggested that diagnosed diabetes was a chronic stressor in developing depressive symptoms, and that response to this stressor varied by individuals' educational attainment. Action to prevent and treat diabetes may contribute to the fight against depressive symptoms, especially in the lower-education population.

Using Logistic Regression to Predict Onset and Recovery With Tau Equivalency

Many studies analyze the effect of a predictor X on the onset or recovery of an outcome Y, for example some kind of disorder. The findings from this simulation study indicate that such effects can be found even if there are no changes in individuals’ true scores on the outcome, i.e., with tau equivalency, given some degree of positive test-retest correlation of the outcome and a correlation between the predictor and the outcome at baseline. Researchers predicting onset/recovery should be aware of this fact and in order not to draw hasty conclusions to control for what can be expected from these correlations alone.

Integrated Analysis Reveals Altered Lipid and Glucose Metabolism and Identifies NOTCH2 as a Biomarker for Parkinson's Disease Related Depression

Depression is a common comorbidity in Parkinson's disease (PD) but is underdiagnosed. We aim to investigate the altered metabolic pathways of Parkinson's disease-related depression (PDD) in plasma and to identify potential biomarkers for clinical diagnosis. Consecutive patients with PD were recruited, clinically assessed, and patients with PDD identified. Fasting plasma samples were collected from 99 patients and differentially expressed metabolites and proteins between patients with PDD and PD were identified using non-targeted liquid chromatography-mass spectrometry (LC-MS)-based metabolomics and tandem mass tag (TMT)-based proteomics analysis, followed by an integrated analysis. Based on the above results, enzyme-linked immune sorbent assay (ELISA) tests were then performed to identify potential biomarkers for PDD. In clinics, patients with PDD suffered less hypertension and had lower serum low-density lipoprotein cholesterol and apolipoprotein B levels when compared to the other patients with PD. A total of 85 differentially expressed metabolites were identified in metabolomics analysis. These metabolites were mainly lipids and lipid-like molecules, involved in lipid and glucose metabolic pathways. According to proteomics analysis, 17 differentially expressed proteins were identified, and 12 metabolic pathways were enriched, which were predominantly related to glucose metabolism. Integrated analysis indicated that altered lipid and glucose metabolism in PDD may induce cellular injury through oxidative stress. Additionally, plasma levels of several proteins were confirmed to be significantly altered and correlated with depressive severity. NOTCH2 may be a potential blood biomarker for PDD, with an optimal cut-off point of 0.91 ng/ml, a sensitivity value of 95.65%, and a specificity value of 81.58%. Depressive symptoms are associated with lipid and glucose metabolism in patients with PD and NOTCH2 may be a potential blood biomarker for the clinical diagnosis of PDD.

Impact of prediabetes on poststroke depression in Chinese patients with acute ischemic stroke

OBJECTIVE

It is unknown whether prediabetes is a predictor of poststroke depression (PSD). We aimed to explore the relationship between prediabetes and PSD in Chinese patients with acute ischemic stroke.

METHODS

This is a prospective cohort study, and a total of 358 patients with acute ischemic stroke were recruited and enrolled. Patients were divided into 3 groups: normal glucose group (NGT, n = 96), prediabetes group (preDM, n = 134, impaired fasting glucose (IFG), and/or impaired glucose tolerance (IGT) and/or HbA1c (A1c) 5.7%-6.4%), and the diabetes mellitus group (DM, n = 128). At 1 month after stroke, patients with a Hamilton Depression Scale score of ≥8 were diagnosed as PSD.

RESULTS

In post hoc comparisons, the risk of PSD in patients with diabetes and prediabetes was higher than patients with NGT (37.5% vs 31.3% vs 14.6%, P = .001). Compared with NGT, the incidence rate of PSD in patients with prediabetes with HbA1c 5.7% to 6.4% and patients with prediabetes with IFG/IGT + HbA1c 5.7% to 6.4% was higher (35.3% vs 14.6%, 38.0% vs 14.6%; P = .006; P = .003, respectively). In logistic regression, prediabetes with HbA1c 5.7% to 6.4% and prediabetes with IFG/IGT + HbA1c 5.7% to 6.4% were a significant independent predictor of PSD after adjusting for potential confounding factors, with odd ratios of 1.731 and 1.978, respectively.

CONCLUSIONS

Our study showed that prediabetes was associated with PSD and may predict its development at 1 month poststroke. In prediabetes subgroups, patients with HbA1c 5.7% to 6.4% were more likely to develop PSD compared to NGT and IFG/IGT groups.

Cerebral Small Vessel Disease Burden Is Associated With Poststroke Depressive Symptoms: A 15-Month Prospective Study

Objective: All types of cerebral small vessel disease (SVD) markers including lacune, white matter hyperintensities (WMH), cerebral microbleeds, and perivascular spaces were found to be associated with poststroke depressive symptoms (PDS). This study explored whether the combination of the four markers constituting an overall SVD burden was associated with PDS. Methods: A cohort of 563 patients with acute ischemic stroke were followed over a 15-month period after the index stroke. A score of ≥7 on the 15-item Geriatric Depression Scale was defined as clinically significant PDS. Scores of the four SVD markers ascertained on magnetic resonance imaging were summed up to represent total SVD burden. The association between SVD burden and PDS was assessed with generalized estimating equation models. Results: The study sample had a mean age of 67.0 ± 10.2 years and mild-moderate stroke [National Institutes of Health Stroke Scale score: 3, interquartile, 1-5]. PDS were found in 18.3%, 11.6%, and 12.3% of the sample at 3, 9, and 15 months after stroke, respectively. After adjusting for demographic characteristics, vascular risk factors, social support, stroke severity, physical and cognitive functions, and size and locations of stroke, the SVD burden was associated with an increased risk of PDS [odds ratio = 1.30; 95% confidence interval = 1.07-1.58; p = 0.010]. Other significant predictors of PDS were time of assessment, female sex, smoking, number of acute infarcts, functional independence, and social support. Conclusion: SVD burden was associated with PDS examined over a 15-month follow-up in patients with mild to moderate acute ischemic stroke.

Predictors of early-onset post-ischemic stroke depression: a cross-sectional study

BACKGROUND

Post-stroke depression (PSD) seriously affects the rehabilitation of nerve function and quality of life. However, the pathogenesis of PSD is still not clear. This study aimed to investigate the demographic, clinical, and biochemical factors in patients with PSD.

METHODS

Patients with an acute ischemic stroke, who met the inclusion criteria at Shanghai Tenth People's Hospital from April 2016 to September 2016, were recruited for this study. The stroke severity was assessed using the National Institutes of Health Stroke Scale (NIHSS), and the mental state was assessed using Mini-Mental State Examination (MMSE), Hamilton Depression Scale (HAMD), and Hamilton Anxiety Scale (HAMA) at 1 week of admission. The patients were divided into PSD and non-PSD groups. The demographic and clinical characteristics, as well as the biochemical factors, were compared between the two groups. A logistic regression analysis was performed to identify the risk factors for depression following stroke.

RESULTS

A total of 83 patients with acute ischemic stroke were recruited. Of these, 36 (43.4%) developed depression. The multivariate logistic regression analysis indicated that high NIHSS [odds ratio (OR): 1.84, 95% confidence interval (CI): 1.09-3.12, P = 0.023] and high HAMD scores (OR: 2.38, 95% CI: 1.61-3.50, P < 0.001) were independent risk predictors for PSD and so were lower dopamine level (OR: 0.64, 95% CI: 0.45-0.91, P = 0.014), lower 5-hydroxytryptamine level (OR: 0.99, 95% CI: 0.98-1.00, P = 0.046), higher tumor necrosis factor-α level (OR: 1.05, 95% CI: 1.00-1.09, P = 0.044), and lower nerve growth factor level (OR: 0.06, 95% CI: 0.01-0.67, P = 0.022).

CONCLUSIONS

The identification of higher NIHSS scores, higher HAMD scores, lower dopamine level, lower 5-hydroxytryptamine level, higher tumor necrosis factor-α level, and lower nerve growth factor level might be useful for clinicians in recognizing and treating depression in patients after a stroke.