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

BACKGROUND: This study aimed to develop and validate a predictive nomogram model applicable to depression risk in stroke patients. METHODS: Participants from the NHANES database (n = 1097) were enrolled from 2005 to 2018; 767 subjects were randomly assigned to the training cohort, and the remaining subjects composed the testing cohort. A nomogram containing the optimal predictors identified by the least absolute shrinkage and selection operator (LASSO) and logistic regression methods was constructed to estimate the probability of depression in stroke patients. To evaluate the performance of the nomogram, the area under the receiver operating characteristic curve (AUC), calibration plot, decision curve analysis (DCA) and internal validation were utilized. RESULTS: Age, family income, trouble sleeping, coronary heart disease, and total cholesterol were included in the nomogram after filtering predictive variables. The AUCs of the nomogram for the training and testing cohorts were 0.782 (95 % CI = 0.742-0.821) and 0.755 (95 % CI = 0.675-0.834), respectively. The calibration plot revealed that the predicted probability was extremely close to the actual probability of depression occurrence in both the training and testing cohorts. DCA revealed that the nomogram model in the training and testing cohorts had a net benefit when the risk thresholds were 0-0.59 and 0-0.375, respectively. LIMITATIONS: This study was limited by the absence of clinical external validation, which hindered the estimation of the nomogram's external applicability. In addition, this study has a cross-sectional design. CONCLUSIONS: A novel nomogram was successfully constructed and proven to be beneficial for identifying individuals at high risk for depression among stroke patients.

The therapeutic potential of curculigoside in poststroke depression: a focus on hippocampal neurogenesis and mitochondrial function.

OBJECTIVES: To investigate the effects and mechanism of curculigoside against poststroke depression (PSD). METHODS: In vivo, a PSD rat model was created by combining bilateral common carotid artery occlusion and chronic unpredictable mild stress stimulations. After 4-week modeling and intragastrically administration of curculigoside, the effects of curculigoside on behavior, hippocampal neurogenesis, and hippocampal mitochondrial oxidative phosphorylation (OxPhos) were investigated. In vitro, PSD-like primary neural stem cells (NSCs) model was established by oxygen-glucose deprivation/recovery (OGD/R) combing high-corticosterone (CORT) concentration, followed by treatment with curculigoside. The investigation subsequently examined the impact of curculigoside on mitochondrial OxPhos, proliferation, and differentiation of NSCs under OGD/R + CORT conditions. KEY FINDINGS: In vivo, PSD rats showed significantly depressive behaviors, dysfunctional neurogenesis in hippocampus, as well as decreased hippocampus adenosine triphosphate (ATP) levels, reduced electron transport chain complexes activity, and downregulates mitochondrial transcription factor A (TFAM) and PPAR-gamma coactivator 1 alpha (PGC-1α) expression in hippocampus. In vitro, OGD/R +CORT significantly injured the proliferation and differentiation, as well as impaired the mitochondrial OxPhos in NSCs. Curculigoside treatment was effective in improving these abnormal changes. CONCLUSION: Curculigoside may repair hippocampal neurogenesis in PSD rats by enhancing hippocampal mitochondrial OxPhos, and has shown a great potential for anti-PSD.

Prevalence of depression and anxiety symptoms after stroke in young adults: A systematic review and meta-analysis.

BACKGROUND: Young adults with stroke have distinct professional and social roles making them vulnerable to symptoms of post-stroke depression (PSD) and post-stroke anxiety (PSA). Prior reviews have examined the prevalence of anxiety and depression in stroke populations. However, there are a lack of studies that have focused on these conditions in young adults. OBJECTIVE: We performed a systematic review and meta-analysis of observational studies that reported on symptoms of PSD, PSA and comorbid PSD/PSA in young adults aged 18 to 55 years of age. METHODS: MEDLINE, EMBASE, SCOPUS and PsycINFO were searched for studies reporting the prevalence of symptoms of PSD and/or PSA in young adults with stroke from inception until June 23, 2023. We included studies that evaluated depression and/or anxiety symptoms with screening tools or interviews following ischemic or hemorrhagic stroke. Validated methods were employed to evaluate risk of bias. RESULTS: 4748 patients from twenty eligible studies were included. Among them, 2420 were also evaluated for symptoms of PSA while 847 participants were evaluated for both PSD and PSA symptoms. Sixteen studies were included in the random effects meta-analysis for PSD symptoms, with a pooled prevalence of 31 % (95 % CI 24-38 %). Pooled PSA symptom prevalence was 39 % (95 % CI 30-48 %) and comorbid PSD with PSA symptom prevalence was 25 % (95 % CI 12-39 %). Varying definitions of 'young adult', combinations of stroke subtypes, and methods to assess PSD and PSA contributed to high heterogeneity amongst studies. CONCLUSIONS: We identified high heterogeneity in studies investigating the prevalence of symptoms of PSD and PSA in young adults, emphasizing the importance of standardized approaches in future research to gain insight into the outcomes and prognosis of PSD and PSA symptoms following stroke in young adults. Larger longitudinal epidemiological studies as well as studies on tailored interventions are required to address the mental health needs of this important population. FUNDING: None.

Association between thyroid hormone levels in the acute stage of stroke and risk of poststroke depression: A meta-analysis.

BACKGROUND: Thyroid hormones have been indicated to be associated with depression, but their relationship with poststroke depression (PSD) remains controversial. Therefore, we performed a meta-analysis to explore the correlation between thyroid hormone levels in acute stroke and PSD. METHODS: We searched databases for eligible studies. Standard mean differences (SMD) and 95% confidence intervals (CI) were applied to evaluate the association among levels of thyroid hormones, including thyroid-stimulating hormone (TSH), free triiodothyronine (FT3), and free thyroxine (FT4), in acute stroke patients and the risk of PSD. RESULTS: A total of 13 studies were included in the analysis. Compared to non-PSD patients, PSD patients had remarkably lower serum TSH and FT3 levels (TSH: SMD = -0.59, 95%CI = -1.04 to -.15, p = .009; FT3: SMD = -0.40, 95%CI = -.51 to -.30, p = .000) and higher serum FT4 levels (SMD = 0.33, 95%CI = .07-.59, p = .013). Subgroup analysis showed that there may be a more statistically significant association between FT3 and the risk of PSD compared to TSH and FT4. CONCLUSIONS: Our results suggested that patients with lower serum TSH and FT3 levels as well as higher serum FT4 levels in the acute stage of stroke may be more susceptible to PSD.

Poststroke Depression: An Update.

The presence of neuropsychiatric disorders after stroke has been recognized for more than 100 years, but controlled systematic studies did not begin until the 1970s. The most clinically important advances, however, have been in the treatment and prevention of poststroke depression (PSD). Recent meta-analyses of randomized controlled trials (RCTs) for the treatment of PSD have demonstrated the efficacy of antidepressants. Similarly, RCTs for the prevention of PSD have shown that antidepressants significantly decrease the incidence of PSD compared with placebo. Early treatment of PSD with antidepressants also appears to enhance both physical and cognitive recovery from stroke and may increase survival up to 10 years. Genetic and epigenetic variations, white matter disease, cerebrovascular deregulation, altered neuroplasticity, and changes in glutamate neurotransmission may be relevant etiological factors.

Poststroke depression within the first year - phenomenology and clinical correlates from real-world data.

BACKGROUND: Studies of poststroke depression (PSD) in Singapore are limited. Specifically, the dynamic epidemiology and phenomenology of PSD in the different stroke types are unknown. OBJECTIVES: This study aims to characterize the epidemiology and phenomenology of PSD in both the hospital setting, and in the community setting up to one year after stroke. METHODS: Real-world clinical data of 1732 consecutive stroke patients in a tertiary stroke centre was extracted from inception in January 2010 to 30 November 2021. The Hospital Anxiety and Depression Scale (HADS) and the Patient Health Questionnaire (PHQ) were used to identify PSD. Demographic, comorbidities and stroke-related variables, and stroke severity were extracted and analysed by stroke type - ischemic, haemorrhagic, and strategic, at the hospitalisation and community follow-up cross-sections. For each group, the characteristics of those with PSD were compared against those without PSD. Logistic regression was performed to identify PSD predictors. Phenomenology was mapped by the relative frequencies of endorsed items on PHQ and HADS in PSD patients. RESULTS: The prevalence of in-hospital PSD was 19.24 % in ischemic stroke, and 24.59 % in both haemorrhagic strokes and strategic basal ganglia/thalamus strokes. Prevalence of PSD in 547 stroke patients who were followed-up ≤ 12 months was 6.42 % in ischemic strokes, 3.52 % in haemorrhagic strokes and 5.23 % among strategic strokes. The association of right sided, bilateral strokes, strategic strokes, and large vessel aetiology with PSD only exists for ischemic strokes. Greater functional impairment and a past psychiatric history are independent predictive factors of PSD in all stroke types. Symptom profile of in-hospital PSD includes anxious distress. CONCLUSION: These findings have immediate clinical applicability considering the representativeness of the study sample.

Effects of Electroacupuncture on Gut Microbiota and Fecal Metabolites in Rats with Poststroke Depression.

Background: Poststroke depression (PSD) is the most frequent neuropsychiatric consequence of stroke. Electroacupuncture (EA) has been found to be an effective therapy for treating PSD. However, the underlying mechanisms of EA's efficacy remain unclear. This research aimed to investigate the effects of EA on alterations in gut microbiota and fecal metabolome in PSD rats. Methods: Analyses of gut microbiome and fecal metabolome were performed to identify gut microbes and their functional metabolites in a sham group, PSD group, and EA group. We conducted enrichment analysis to identify the differential metabolic pathways in three groups. Correlations between altered gut microbes and differential metabolites after EA treatment were studied. Results: PSD showed decreased species-richness/diversity indices of microbial composition, characterized by an increase in Muribaculaceae, Peptostreptococcaceae, Oscillospiraceae, Ruminococcaceae, and Clostridiaceae and a decrease in Lactobacillaceae, Lachnospiraceae, and Bacteroidaceae. Of these, the abundance of Muribaculaceae, Lactobacillaceae, Lachnospiraceae, Peptostreptococcaceae, and Clostridiaceae were reversed by EA. Furthermore, PSD was associated with 34 differential fecal metabolites, mainly belonging to steroid hormone biosynthesis, that could be regulated by EA. Conclusion: Regulation of gut microbiome and lipid metabolism could be one of the potential mechanisms for EA treatment for alleviating the depressive behaviors of PSD.

Pharmacokinetic analysis for simultaneous quantification of Saikosaponin A- paeoniflorin in normal and poststroke depression rats: A comparative study.

Bupleurum and Paeonia are common compatibilities for the treatment of depression, most of which are used in classical prescriptions. The main active ingredients saikosaponin A (SSA) and paeoniflorin (PF) have significant therapeutic effects on poststroke depression (PSD). However, the pharmacokinetic (PK) behavior based on the combination of the two components has not been reported in rats. The aim of this study was to compare the pharmacokinetic characteristics of combined administration of SSA and PF in normal and PSD rats. Plasma samples were collected after SSA and PF were injected into the rat tail vein, and plasma pretreatments were analyzed by HPLC. Based on the concentration levels of SSA and PF in plasma, Drug and Statistics 3.2.6 (DAS 3.2.6) software was used to establish the blood drug concentration model. PK data showed that compared with the normal rats, the values of related parameters t1/2α, AUC(0-t), AUC(0-∞) were decreased in diseased rats, while the values of CL1 was increased. These findings suggest that PSD can significantly affect the PK parameters of SSA-PF. This study established a PK model to explore the time-effect relationship, in order to provide experimental and theoretical support for clinical application.

Beyond Language Deficits: Working Alliance and Resources as Predictors of Recovery From Aphasia.

Large-scale clinical trials and meta-analyses have determined neurobiological and linguistic predictors of recovery from aphasia, while more recent work is opening the field to factors of efficacy previously established in psychiatry-and little known in neurology. To map this evolving area of research, the present essay explores key factors of efficacy in psychotherapy as potential predictors of recovery from aphasia. In particular, the essay addresses (1) working alliance, including consensus between patient and therapist on treatment goals and tasks alongside interpersonal bonds, as well as (2) focus on resources rather than deficits in language performance. Finally, the essay outlines why research on impaired communication ability may help advance and complement existing methods in psychotherapy.

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.

Prevalence of depression and its associated factors among stroke survivors in Saudi Arabia.

AIM: The purpose of this study was to investigate the prevalence of poststroke depression (PSD) in Saudi Arabia and its association with socio-demographic and clinical factors. DESIGN: A predictive correlational cross-sectional study. METHODS: The study adopted a non-probability convenience sampling method to recruit 211 stroke survivors between April and October 2021 from the neurology outpatient departments of two main governmental hospitals in Saudi Arabia. PSD was measured using a self-assessment reliable and valid scale (The Hospital Anxiety and Depression Scale [HADS]). RESULTS: More than two-thirds (70.6%) of the study sample (Mean age = 53 years, SD = 8.5, 51.2% were males) experienced some degree of depression (Score ≥8); of these, approximately half (48.8%) were in severe depression. The final prediction model was statistically significant (χ2 [15] = 31.39, p Ë‚ .01). PSD is a statistically significant health issue and requires immediate attention by healthcare providers to improve the health outcomes of stroke survivors.

Strategic Infarct Locations for Poststroke Depressive Symptoms: A Lesion- and Disconnection-Symptom Mapping Study.

BACKGROUND: Depression is the most common neuropsychiatric complication after stroke. Infarct location is associated with poststroke depressive symptoms (PSDS), but it remains debated which brain structures are critically involved. We performed a large-scale lesion-symptom mapping study to identify infarct locations and white matter disconnections associated with PSDS. METHODS: We included 553 patients (mean [SD] age = 69 [11] years, 42% female) with acute ischemic stroke. PSDS were measured using the 30-item Geriatric Depression Scale. Multivariable support vector regression (SVR)-based analyses were performed both at the level of individual voxels (voxel-based lesion-symptom mapping) and at predefined regions of interest to relate infarct location to PSDS. We externally validated our findings in an independent stroke cohort (N = 459). Finally, disconnectome-based analyses were performed using SVR voxel-based lesion-symptom mapping, in which white matter fibers disconnected by the infarct were analyzed instead of the infarct itself. RESULTS: Infarcts in the right amygdala, right hippocampus, and right pallidum were consistently associated with PSDS (permutation-based p < .05) in SVR voxel-based lesion-symptom mapping and SVR region-of-interest analyses. External validation confirmed the association between infarcts in the right amygdala and pallidum, but not the right hippocampus, and PSDS. Disconnectome-based analyses revealed that disconnections in the right parahippocampal white matter, right thalamus and pallidum, and right anterior thalamic radiation were significantly associated (permutation-based p < .05) with PSDS. CONCLUSIONS: Infarcts in the right amygdala and pallidum and disconnections of right limbic and frontal cortico-basal ganglia-thalamic circuits are associated with PSDS. Our findings provide a comprehensive and integrative picture of strategic infarct locations for PSDS and shed new light on pathophysiological mechanisms of depression after stroke.

Role of social support in poststroke depression: A meta-analysis.

Poststroke depression significantly affects health and quality of life of stroke patients. This study evaluates the role of social support in influencing poststroke depression. The literature search was conducted in electronic databases and study selection was based on precise eligibility criteria. The prevalence rates reported by individual studies were pooled. A meta-analysis of standardized mean differences (SMD) in social support between depressed and non-depressed stroke patients was performed. The odds ratios and correlation coefficients showing the relationship between social support and depression were pooled to achieve overall estimates. Twenty-five studies (9431 patients) were included. The prevalence of depression was 36% [95% confidence interval (CI): 28, 45]. Patients with poststroke depression had significantly lower social support in comparison with patients with no or lower levels of depression [SMD in social support scores -0.338 (95% CI: -0.589, -0.087); p = 0.008]. The odds of depression were lower in patients receiving higher levels of social support [OR 0.82 (95% CI: 0.69, 0.95)] but were higher in patients who were receiving weaker social support [OR 5.22 (95% CI: -0.87, 11.31)]. A meta-analysis of correlation coefficients found a significantly inverse correlation between social support and poststroke depression [r -0.336 (95% CI: -0.414, -0.254)]. Poststroke depression has a significant independent inverse association with social support.

Intensive Social Interaction for Treatment of Poststroke Depression in Subacute Aphasia: The CONNECT Trial.

BACKGROUND: Limiting the ability to engage in social interaction, aphasia increases the risk of poststroke depression and may prevent classical forms of psychotherapy. Our parallel-group, blinded-assessment, quasi-randomized controlled trial explores the feasibility and potential efficacy of intensive social interaction as a means to alleviate poststroke depression in subacute aphasia. METHODS: We adopted a linguistically validated treatment program based on massed practice and conversational turn-taking (Intensive Language-Action Therapy). In a routine outpatient setting, 60 individuals with poststroke depression and subacute aphasia (0.5-6 months following left-hemispheric ischemia or hemorrhage) were assigned to Intensive Language-Action Therapy combined with standard care (Group I) or standard care alone (Group II). End points included feasibility (primary outcome) alongside change on self-report and clinician-rated measures of depression severity (co-primary outcomes: Beck's Depression Inventory; Hamilton Rating Scale for Depression) after a 1-month treatment period (5 weekly 1-hour sessions), controlled for progress in language performance (secondary outcome: Aachen Aphasia Test, AAT). RESULTS: 100% treatment participation demonstrated feasibility of Intensive Language-Action Therapy in poststroke depression. Analyses (n=60) revealed significant between-group differences on the Beck's Depression Inventory (change in Group I [95% CI]: -12.6 [±4.9]; in Group II: -5.8 [±3.2]; P=0.040) and Hamilton Rating Scale for Depression (change in Group I: -5.0 [±1.4]; in Group II: -3.3 [±1.2]; P=0.002), indicating small-to-medium effect sizes in reducing depression severity with Intensive Language-Action Therapy (η2≤0.101). No significant between-group differences emerged on expressive AAT subscales. CONCLUSIONS: Our results confirm the feasibility and potential efficacy of intensive social interaction for treatment of poststroke depression in subacute aphasia. REGISTRATION: URL: www. CLINICALTRIALS: gov; Unique identifier: NCT04318951.

Depression symptoms in neurological patients: A survey of a large cohort of patients with focal brain lesions.

INTRODUCTION: Examining depression following neurological injury is useful for understanding post-lesion depression and depression more generally. The extant literature shows variability in the incidence and severity of depression post-lesion, likely due to heterogeneity in study methodology, patient samples, measures of depression, and time of assessment. Here, we aim to characterize depression symptoms and their demographic correlates in a large sample of individuals in the chronic epoch following a focal brain lesion. METHOD: We sampled 492 individuals who had focal, stable brain lesions and were in the chronic epoch (≥3 months post-onset). Demographic (gender, years of education), temporal (age at lesion onset, time since lesion onset), and lesion (lesion laterality, lesion etiology, lesion volume) factors were used to predict depression symptoms measured by the Beck Depression Inventory (BDI). RESULTS: We found that on average, neurological patients exhibited elevated levels of depression symptoms (although not clinically significant) relative to a community sample, and the neurological patients showed higher rates of mild and moderate depression symptoms than are typical in a community sample. Gender and lesion etiology were predictive of depression symptoms, whereby women and patients with ischemic stroke had higher levels of depression symptoms. CONCLUSIONS: Our results suggest that depression symptom severity may be elevated following a focal brain lesion. Moreover, some individuals may be more likely to develop depression symptoms post-lesion than others. This may be mediated by individual factors such as gender and lesion etiology. The findings have important implications for the diagnosis, prognosis, and treatment of depression in neurological patients.

Yijinjing Qigong intervention shows strong evidence on clinical effectiveness and electroencephalography signal features for early poststroke depression: A randomized, controlled trial.

Objective: Although Traditional Chinese Yijinjing Qigong Exercise (YJJQE) as mind-body intervention is popularly used among adults to ameliorate depressive symptoms in China, no randomized controlled trials (RCTs) are available to evaluate the effects of YJJQE in patients with poststroke depression (PSD). This study aims to explore the clinical efficacy and the neurological and psychiatric mechanism in brain network functional connectivity underlying electroencephalography (EEG). Materials and methods: A total of 60 patients, diagnosed with mild PSD, were randomly (1:1) assigned to YJJQE group (n = 30) and control group of routine segmental rehabilitation training group (n = 30) for a 60-min exercise session once a day for 3 weeks. All outcome measures were collected at baseline and 3-weeks ending intervention. The primary outcome was the 24-item Hamilton Depression Scale (HAMD-24) score, evaluation at more time points for 1 month of follow-up. The secondary outcomes were EEG data in four frequency domains (δ, θ, α, and ß), global efficiency (GE), local efficiency (LE), GE/LE curve [areas under the curve (AUC)], Phase Lag Index (PLI), (HAMD-24) Score and EEG correlation analysis. Results: All patients showed no significant differences in baseline data. After 3 weeks and 1 month of follow-up, the YJJQE group demonstrated significant decreasing changes compared to the control group on the HAMD-24 scores (p < 0.001). Furthermore, the YJJQE group also showed a significant reduction in θ wave, and an increase in both GE and LE. Compared to the control group, the YJJQE Qigong group showed significantly greater functional connectivity in the δ, θ, and ß frequency bands in the brain network of the degree of phase synchronization (p < 0.001). HAMD-24 Score and EEG correlation analysis negative correlation in the Qigong group θ wave (p < 0.001). Conclusion: Our findings demonstrated that YJJQE is estimated to effectively alleviate the depressed mood of patients with PSD by promoting the efficiency in information transmission of network functional connectivity and its integration ability in different brain regions. Therefore, the YJJQE would be useful as a non-pharmacological treatment to prevent PSD. Clinical trial registration: [http://www.chictr.org.cn/showproj.aspx?proj=55789], identifier [ChiCTR2000035588].

Effects of Noninvasive Brain Stimulation Combined With Antidepressants in Patients With Poststroke Depression: A Systematic Review and Meta-Analysis.

Objective: To evaluated the efficacy and safety of noninvasive brain stimulation (NIBS) combined with antidepressants in patients with poststroke depression (PSD). Methods: Seven databases were searched to identify randomized controlled trials of NIBS combined with antidepressants in the treatment of PSD based on the international classification of diseases (ICD-10) criteria and exclusion criteria. The retrieval time was from the database establishment to 31 October 2021. Two researchers independently screened the identified studies through the search strategy, extracted their characteristics, and evaluated the quality of the included literature. Cochrane Collaboration's tool was used to assess risk of bias. RevMan 5.3 software was applied for meta-analysis. Results: A total of 34 randomized controlled trials were included, involving 2,711 patients with PSD. Meta-analysis showed that the total effective rate was higher in the combined therapy than the antidepressant alone [odds ratio (OR): 4.33; 95% confidence interval (CI): 3.07 to 6.11; p < 0.00001]. The Hamilton depressive scale (HAMD) score was significantly lower in repeated transcranial magnetic stimulation (rTMS) (≤10 Hz) combined with antidepressant than in antidepressant alone [standard mean difference (SMD): -1.44; 95% CI: -1.86 to -1.03; p < 0.00001]. No significant difference was seen in rTMS (>10 Hz) combined with antidepressant versus antidepressant alone (SMD: -4.02; 95% CI: -10.43 to 2.39; p = 0.22). In addition, combination therapy more strongly improved the modified Barthel index (MBI) scale than antidepressants [mean difference (MD): 8.29; 95% CI: 5.23-11.35; p < 0.00001]. Adverse effects were not significantly different between two therapies (OR: 1.33; 95% CI: 0.87 to 2.04; p = 0.18). Conclusion: Low-frequency rTMS (≤10 Hz) combined with antidepressants tends to be more effective than antidepressants alone in patients with PSD, and there are no significant adverse effects. In addition, combined therapy may enhance quality of life after stroke. Combination therapy with high-frequency rTMS (>10 Hz) showed no advantage in treating PSD. The transcranial electrical stimulation (TES) combined with antidepressants might be more effective than antidepressants alone, which are needed to confirm by more clinical trials since the.

Decreased Serum Brain-Derived Neurotrophic Factor in Poststroke Depression: A Systematic Review and Meta-Analysis.

Backgrounds: There were conflicting results on the comparison of brain-derived neurotrophic factor (BDNF) levels between poststroke depression (PSD) patients and stroke patients without PSD among previous studies. Thus, we conducted this systemic review and meta-analysis to explore the alteration of serum BDNF levels in PSD. Methods: This study included articles from the Web of Science and PubMed databases that were published before December 2021. STATA 12.0 software was used to compute the standardized mean difference (SMD) and 95% confidence interval (CI) regarding the comparison of serum BDNF in PSD and stroke patients without PSD. Results: We collected the mean value and standard deviation (SD) of serum BDNF in PSD and stroke patients without PSD from six studies (PSD: n = 268, stroke patients without PSD: n = 425). The present meta-analysis showed decreased serum BDNF level in patients with PSD, compared to stroke patients without PSD with a random-effects model (mean value of BDNF level [PSD vs. stroke patients without PSD]: 14.106 vs. 17.995 ng/ml; SMD = -1.578; 95% CI: -2.820, -0.337; I 2 = 97.8%, p-value for Q test < 0.001). Conclusion: Brain-derived neurotrophic factor may work as a potential biomarker to predict the risk of PSD among stroke survivors. More large-sample clinical trials exploring the alteration of serum BDNF levels in PSD among stroke patients need to be conducted to verify this result.

Association between homocysteine levels in acute stroke and poststroke depression: A systematic review and meta-analysis.

BACKGROUND: Homocysteine (Hcy) has been confirmed to be associated with depression, but its relationship with poststroke depression (PSD) remains controversial. So far, there is no meta-analysis of the correlation between Hcy level in acute stroke and PSD. METHODS: A systematic search of a sub-database of studies reporting the level of Hcy in the acute phase of ischemic stroke and PSD as of November 2021 was performed. Data extraction was performed strictly according to the inclusion and exclusion criteria. All data were analyzed using STATA 11.0. The standardized root mean square difference (SMD) and 95% confidence interval (CI) were used to compare continuous variables. RESULTS: A total of 11 studies were included in this study, including 2789 participants. The results of this meta-analysis showed that admission the levels of Hcy were significantly higher in PSD survivors, compared to non-PSD survivors (SMD = 0.37, 95%CI = 0.07-0.66, P ï¼œ .001). Subgroup analysis showed that survivors with PSD diagnosed more than 3 months after stroke had significantly different the levels of from non-PSD survivors (6 months: SMD = 0.61, 95%CI = 0.40-0.82, 9 months: SMD = 1.00, 95%CI = 0.59-1.41). CONCLUSION: The level of Hcy in the acute phase of ischemic stroke is a risk factor for PSD.

Serum Dickkopf-1 levels and poststroke depression in ischemic stroke patients.

BACKGROUND: Serum Dickkopf-1 (Dkk-1) levels are associated with poor ischemic stroke prognosis, although their impact on poststroke depression (PSD) remains unclear. This study aimed to examine the association between serum Dkk-1 levels and PSD. METHODS: Serum Dkk-1 levels were measured in 564 patients with ischemic stroke who participated in the China Antihypertensive Trial in Acute Ischemic Stroke (CATIS). The patients' depression status at 3 months after stroke was assessed using the Hamilton Rating Scale for Depression (HRSD-24). The HRSD score cutoff point for the diagnosis of depression was ≥8. RESULTS: A total of 224 (39.72%) patients were categorized as having PSD 3 months after ischemic stroke. After adjusting for potential confounders, including age, sex, and other important covariates, elevated Dkk-1 levels were associated with an increased risk of PSD (odds ratio [OR], 1.92; 95% confidence interval [CI], 1.14-3.22; Ptrend = 0.037). Similarly, each standard deviation (SD) increase in log-transformed Dkk-1 levels was associated with a 24% increased risk of PSD (OR, 1.24; 95% CI, 1.03-1.49; P = 0.025). Subgroup analyses further confirmed the significant associations between Dkk-1 levels and PSD. CONCLUSION: Higher serum Dkk-1 levels at baseline are independently associated with an increased risk of PSD at 3 months after stroke, suggesting that Dkk-1 levels may be a promising prognostic biomarker for PSD. LIMITATIONS: This study measured serum Dkk-1 levels only in the acute phase of stroke not in different phases; therefore, the relationship between dynamic changes in Dkk-1 levels and PSD could not be evaluated.