non-PSD Group Research Articles

Development of predictive model for post-stroke depression at discharge based on decision tree algorithm: A multi-center hospital-based cohort study

ObjectivePost-stroke depression (PSD) is one of the most common and severe neuropsychological sequelae after stroke. Using a prediction model composed of multiple predictors may be more beneficial than verifying the predictive performance of any single predictor. The primary objective of this study was to construct practical prediction tools for PSD at discharge utilizing a decision tree (DT) algorithm. MethodsA multi-center prospective cohort study was conducted from May 2018 to October 2019 and stroke patients within seven days of onset were consecutively recruited. The independent predictors of PSD at discharge were identified through multivariate logistic regression with backward elimination. Classification and regression tree (CART) algorithm was employed as the DT model's splitting method. ResultsA total of 876 stroke patients who were discharged from the neurology departments of three large general Class A tertiary hospitals in Wuhan were eligible for analysis. Firstly, we divided these 876 patients into PSD and non-PSD groups, history of coronary heart disease (OR = 1.835; 95 % CI, 1.106–3.046; P = 0.019), length of hospital stay (OR = 1.040; 95 % CI, 1.013–1.069; P = 0.001), NIHSS score (OR = 1.124; 95 % CI, 1.052–1.201; P = 0.001), and Mini mental state examination (MMSE) score (OR = 0.935; 95 % CI, 0.893–0.978; P = 0.004) were significant predictors. The subgroup analysis results have shown that hemorrhagic stroke, history of hypertension and higher modified Rankin Scale score (mRS) score were associated with PSD at discharge in the young adult stroke patients. ConclusionsSeveral predictors of PSD at discharge were identified and convenient DT models were constructed to facilitate clinical decision-making.

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

BackgroundLimited observational research has explored the relationship between the non-high-density lipoprotein cholesterol (non-HDL-C) to high-density lipoprotein cholesterol (HDL-C) ratio (NHHR) and the risk of post-stroke depression (PSD). This study aims to investigate the potential associations between NHHR and PSD. MethodsA cross-sectional study was conducted using data from stroke participants aged 20 and older, sourced from the National Health and Nutrition Examination Survey (NHANES) spanning 2005 to 2018. Depression was assessed using the PHQ-9 questionnaire. The association between NHHR and PSD risk was evaluated through weighted multivariate logistic regression and restricted cubic spline (RCS) models. Subgroup and sensitivity analyses were performed to validate the findings. ResultsIn the continuous model, the NHHR value for the PSD group (3.23±1.84) was significantly higher than that of the non-PSD group (2.79±1.40, p=0.015). Logistic regression analysis in the fully adjusted model revealed a positive association between NHHR and PSD (OR 1.16, 95 % CI 1.03-1.30, p=0.016). Interaction tests showed no significant differences across strata (p > 0.05 for interaction). Restricted cubic spline results indicated a linear dose-response relationship between NHHR and PSD risk (P for non-linearity = 0.6). This association persisted in various subgroup analyses. ConclusionNHHR was significantly correlated with an increased risk of PSD among U.S. adults. Further re-search on NHHR could contribute to the prevention and treatment of PSD.

Serum Levels and Clinical Significance of NSE, BDNF and CNTF in Patients with Cancer-associated Ischemic Stroke Complicated with Post-stroke Depression.

The incidence of post-stroke depression (PSD) may be higher in patients with cancer-associated ischemic stroke (CAIS). The pathogenesis of PSD is mainly related to the emotional injury of stroke and the inability of neurons to effectively repair. This study aims to explore the clinical significance of serum neuron-specific enolase (NSE), brain-derived neurotrophic factor (BDNF) and ciliary neurotrophic factor (CNTF) expression levels in CAIS patients. Clinical data of 106 patients with CAIS admitted to Jinhua Guangfu Oncology Hospital from January 2012 to December 2022 were retrospectively analyzed. Serum levels of NSE, BDNF and CNTF were measured in all patients after admission. Depression screening was performed by Hamilton Depression Scale-17 (HAMD-17) three months after intravenous thrombolysis. Patients with HAMD-17 score >7 were included in the PSD group (n = 44), and patients with HAMD-17 score ≤7 were included in the non-PSD group (n = 62). The general data and serum levels of NSE, BDNF and CNTF were compared between the two groups. According to HAMD-17 scores, patients in PSD group were further divided into mild depression group (8-16 points), moderate depression group (17-23 points) and severe depression group (≥24 points), and the serum levels of NSE, BDNF and CNTF were compared among the three groups. Pearson's correlation test was used to analyze the correlation between HAMD-17 scores and serum NSE, BDNF and CNTF levels in PSD patients. Logistic regression model was used to determine the influencing factors of PSD in CAIS patients. Receiver operating characteristic (ROC) curve was plotted to analyze the predictive efficacy of serum NSE, BDNF, CNTF and their combination on PSD. Among 106 CAIS patients, the incidence of PSD was 41.51% (44 cases), including 19 patients with mild PSD (43.18%), 14 patients with moderate PSD (31.82%), and 11 patients with severe PSD (25.00%). There were statistically significant differences in negative life events and complications after thrombolytic therapy between PSD and non-PSD patients (p < 0.05). The serum NSE level in PSD group was significantly higher than that in non-PSD group, and the serum BDNF and CNTF levels were notably lower than those in non-PSD group (all p < 0.001). The serum levels of NSE, BDNF and CNTF in patients with different severity of PSD were statistically significant (all p < 0.001). HAMD-17 scores in PSD patients were positively correlated with serum NSE levels (r = 0.676, p < 0.001) and negatively correlated with serum BDNF and CNTF levels (r = -0.661, p < 0.001; r = -0.401, p = 0.007, respectively). By binary logistic regression analysis, the levels of serum NSE, BDNF and CNTF were independent influencing factors for PSD in CAIS patients, among which NSE was a risk factor (odds ratio (OR) >1, p < 0.05), BDNF and CNTF were protective factors (OR <1, p < 0.05). This study reveals for the first time that the levels of serum NSE, BDNF and CNTF are closely related to the occurrence and development of PSD in CAIS patients. In clinical CAIS patients with abnormal changes in the above indicators, in addition to anti-tumor treatment and improvement of neurological deficit symptoms, attention should also be paid to the symptoms of psychological disorders.

Post-stroke arrhythmia could be a potential predictor for post-stroke depression

Post-stroke depression (PSD) is regarded as the consequence of multiple contributors involving the process of cognition, mood and autonomic system, with the specific mechanism unclear yet. As a common type of stroke-heart syndromes, post-stroke arrhythmia shared some common pathogenesis with PSD. We presumed that post-stroke arrhythmia might be an early distinguishable marker for the presence of PSD and aimed to verity their association in this study. Patients with first-ever ischemic stroke were enrolled. The presence of post-stroke ectopic arrhythmia and the symptoms of arrhythmia were recorded with anti-arrhythmia drugs prescribed when necessary. Patients were followed up 3 months later to identify their presence and severity of PSD using Hamilton Depression Scale (HAMD) and also presence and severity of arrhythmia. Characteristics including the prevalence of various types of arrhythmias were compared between PSD and non-PSD groups. The HAMD scores were compared between patients with and without arrhythmia in PSD group. Logistic regression was used to identify the independent predictor of PSD. Patients with PSD had higher prevalence of post-stroke arrhythmia especially newly-detected arrhythmia, symptomatic arrhythmia and poor-controlled arrhythmia. In PSD group, patients of post-stroke arrhythmia had higher scores of HAMD than those without arrhythmia. Presence of newly-detected, symptomatic and poor-controlled arrhythmias were independent predictor of PSD. post-stroke arrhythmia especially newly-detected arrhythmia and symptomatic arrhythmia could be an early predictor of PSD. Successful control of arrhythmia was associated with reduced prevalence and severity of PSD.

Abstract TP24: C-Reactive Protein, and Homocysteine as a Predictors of Post Stroke Depression Among Stroke Patients: A Meta-Analysis and Meta Regression

Background: Post-stroke depression (PSD) is a common neuropsychiatric complication of stroke associated with poor functional outcome and increased mortality. Its pathophysiology is poorly understood, however, evidence suggests that neuroinflammation in reaction to the stroke could play a role in the development of PSD. Aim: To compare C-reactive protein (CRP), and homocysteine (Hcy) levels in post-stroke patients with and without PSD. Methods: We systematically searched all electronic databases from inception until May 30th 2023. We performed a conventional meta-analysis and adopted the DerSimonian and Laird random-effect model for the study variations [30]. Outcomes were reported as standard mean difference (SMD), and their corresponding 95% confidence interval (95% CI). Results: A total of 12 studies with 3,230 Patients were included in this analysis. The mean age of the overall cohort was 65.7 years with PSD patients appearing to be older than non-PSD patients (mean 68.3 years versus 63.1 years). In terms of gender distribution, there were more females in the PSD group compared with non-PSD groups (44.4% versus 40.7%). Compared to patients without post-stroke depression, it was found that patients with post-stroke depression had a higher levels of baseline CRP levels [SMD 0.16, (95% CI 0.08 to 0.25), p&lt;0.001], and Hcy [SMD 0.14, (95% CI 0.05 to 0.22), p&lt;0.001]. Meta-regression was performed using covariates including age, female gender, hypertension, diabetes mellitus, CAD, widowhood and family history of psychiatric disorder. For CRP there was no effect modifier, while for Hcy it was observed that a personal history of widowhood appeared as an only significant effect modifier (coefficient 1.998, p=0.038). Conclusion: Elevated baseline levels of CRP and Hcy were significantly higher in patients that developed PSD, suggesting that both could play a role in the pathophysiology of PSD and as a potential biomarker for diagnosing risk of depression post stroke.

Correlation of Circadian Rhythms and Improvement of Depressive Symptoms in Acute Ischemic Stroke Patients

To investigate the correlation between evening melatonin timing secretion, dim light melatonin onset (DLMO), and post-stroke depression (PSD) in acute ischemic stroke patients and their influence on the improvement of depressive symptoms. 120 patients with a recent magnetic resonance imaging confirmed stroke were included. Salivary melatonin samples were collected at 5 time points within 1 week after hospitalization (7 p.m.-11 p.m., 1 sample per hour). The circadian phase was defined by calculating DLMO secretion. Post-stroke depressive symptoms were evaluated by the 17-item Hamilton Rating Scale for Depression (HRSD) both on day 7 of hospitalization and 3 months after stroke. Patients were divided into PSD and non-PSD groups based on whether the acute phase HRSD score was ≥8. Similarly, patients were divided into the improved depressive symptoms (IDS) and no improvement in depressive symptoms (non-IDS) groups based on whether the HRSD score at 3 months was lower than at baseline. Neurological recovery at 3 months was assessed using the modified Rankin Scale (mRS). The difference in DLMO between PSD and non-PSD patients was not statistically significant (p =0.173). In the non-IDS group, there was a significant decrease in melatonin secretion at 10 p.m. (p =0.012), and DLMO was significantly later than in the IDS group (p =0.017). Logistic regression analysis showed that DLMO (OR 1.91, 95%CI:1.13-3.23, p = 0.016) was an independent risk factor for persistent no improvement in depressive symptoms, which was associated with a markedly worse prognosis (p <.001). Our findings suggest possible interventions for the very early identification of non-IDS patients.

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

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. 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. 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. 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.

The predictive role of early inflammation and oxidative stress and the dynamics of cytokines networks in post-stroke depression

BackgroundsChronic inflammation and oxidative stress play an important role in the pathogenesis of PSD. The main purposes of this study were to examine the dynamic changes of cytokines networks in PSD and the predictive role of early inflammation and oxidative stress for 2-week PSD. MethodsPatients with ischemic stroke were recruited on day 3, and those with Hamilton Depression Rating Scale 24-Item (HAMD-24) ≥8 were classified as ischemic stroke patients with depressive symptoms and others as ischemic stroke patients without depressive symptoms. Subjects were then followed up at 2 weeks and 3 months, with those meeting diagnostic criteria for depressive symptoms on the HAMD ≥8 and the Statistical Manual of Mental Disorders-V (DSM-V) as the PSD group, and the others as the non-PSD group. ResultsAt 3 days, IFN-γ, IL-12(p70), IL-12(p40), IL-2, IL-28A/IFNλ2, and IL-19 were elevated in ischemic stroke patients with depressive symptoms. At 2 weeks, IL-12(p40), IL-19, IL-22, IFN-β and MMP-1 all were increased in PSD patients. At 3 months, IL-2, IFN-β and sCD163 increased in PSD group. Longitudinally, the inflammatory response decreased significantly in PSD group from 2 weeks to 3 months of follow-up, while it gradually decreased in non-PSD group from 3 days to 3 months of follow-up. SOD was positively related to IL-12(p70), IFN-γ and IL-20. Plasma IFN-γ at 3 days may be a potential predictive biomarker for 2-week PSD. ConclusionsPeripheral inflammation and oxidative stress are involved in the pathogenesis of PSD, providing new insights for its diagnosis and treatment.

The association between circulating Hcy and Lp-PLA2 levels and poststroke depression: A meta-analysis.

To analyze the correlation between circulating homocysteine (Hcy) and lipoprotein-associated phospholipase A2 (Lp-PLA2) levels and poststroke depression (PSD). Chinese (Chinese National Knowledge Infrastructure, Wanfang, and VIP) and English (PubMed, EMBASE, MEDLINE, and Cochrane Library) databases on the correlation between circulating Hcy and Lp-PLA2 and PSD were collected. Meta-analysis was performed to compare the distinctions in circulating Hcy and Lp-PLA2 levels between PSD and non-PSD groups. Meta-analysis was conducted by using STATA 15.0 software. A total of 20 literatures were included in this study. The level of circulating Lp-PLA2 in the PSD group was obviously higher than that in the non-PSD group (weighted mean differences: 2.75, 95%CI: 0.10-5.39, P = .002), which was an independent predictor of PSD (effect size = 0.05, 95%CI: 0.03, 0.07, P < .001). The level of circulating Hcy in the PSD group was obviously higher than that in the non-PSD group (weighted mean differences = 1.41, 95%CI: 1.01, 1.81, P < .001), which was an independent influencing factor for the occurrence of PSD (effect size = 0.07, 95%CI: 0.04, 0.09, P = .011). Circulating Hcy and Lp-PLA2 levels are linked to the development of PSD, and can be applied as predictive or diagnostic indicators.

The characteristics of brain network in patient with post-stroke depression under cognitive task condition.

Post-stroke depression (PSD) may be associated with the altered brain network property. This study aimed at exploring the brain network characteristics of PSD under the classic cognitive task, i.e., the oddball task, in order to promote our understanding of the pathogenesis and the diagnosis of PSD. Nineteen stroke survivors with PSD and 18 stroke survivors with no PSD (non-PSD) were recruited. The functional near-infrared spectroscopy (fNIRS) covering the dorsolateral prefrontal cortex was recorded during the oddball task state and the resting state. The brain network characteristics were extracted using the graph theory and compared between the PSD and the non-PSD subjects. In addition, the classification performance between the PSD and non-PSD subjects was evaluated using features in the resting and the task state, respectively. Compared with the resting state, more brain network characteristics in the task state showed significant differences between the PSD and non-PSD groups, resulting in better classification performance. In the task state, the assortativity, clustering coefficient, characteristic path length, and local efficiency of the PSD subjects was larger compared with the non-PSD subjects while the global efficiency of the PSD subjects was smaller than that of the non-PSD subjects. The altered brain network properties associated with PSD in the cognitive task state were more distinct compared with the resting state, and the ability of the brain network to resist attack and transmit information was reduced in PSD patients in the task state. This study demonstrated the feasibility and superiority of investigating brain network properties in the task state for the exploration of the pathogenesis and new diagnosis methods for PSD.

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

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. 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 2weeks 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. 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 ≥16.98μmol/L (odds ratio [OR]=10.976, 95% CI: 5.585-21.573, p < .001). 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.

Serum Cystatin C is Associated with Depression After Intracerebral Hemorrhage.

Cystatins are associated with neuronal degeneration and nervous system healing. Cystatin C (Cys C) has recently been linked to brain injury and immunological inflammation. This study aimed to determine the relationship between serum Cys C levels and depression following intracranial hemorrhage (ICH). Between September 2020 and December 2022, 337 patients with ICH were sequentially recruited and followed up for three months. The post-stroke depression (PSD) and non-PSD groups were separated based on the 17-item Hamilton Depression Rating Scale (HAMD). The PSD diagnosis was established based on the DSM-IV criteria. Cys-C levels were documented within twenty-four hours of admission. Three months after ICH, 93 (27.6%) of 337 enrolled patients were diagnosed with depression. The Cys C levels were significantly higher in depressed patients than in nondepressed patients after ICH (1.32 vs 1.01; p<0.001). After adjusting for potential confounding variables, depression after ICH was associated with the highest quartile of Cys C levels (odds ratio (OR) = 3.195, 95% CI: 1.562-6.536; p=0.001). The receiver operating characteristic curve (ROC) curve predicted that the ideal cut-off for CysC levels as a predictor of depression after ICH would be 0.730, resulting in 84.5% sensitivity and 88.4% specificity, with an area under curve (AUC) of 0.880 (95% CI: 0.843-0.917; p< 0.0001). Increased CysC concentrations were independently related to depression three months after ICH, highlighting that CysC levels at admission may be a potential biomarker for predicting the onset of depression following ICH.

Predictive microbial feature analysis in patients with depression after acute ischemic stroke.

Post-stroke depression (PSD) is the most common emotional problem following a stroke, which requires early diagnosis to improve the prognosis. Gut microbiota plays important role in the pathological mechanisms of acute ischemic stroke and influences the outcome of patients. However, the relationship between PSD and gut microbiota remains unknown. Here, we explored whether the microbial signatures of gut microbiota in the patients with stroke could be an appropriate predictor of PSD. Fecal samples were collected from 232 acute ischemic stroke patients and determined by 16s rRNA sequencing. All patients then received 17-Hamilton Depression Rating Scale (HAMD-17) assessment 3 months after discharge, and were further divided into PSD group and non-PSD group. We analyzed the differences of gut microbiota between these groups. To identify gut microbial biomarkers, we then established microbial biomarker model. Our results showed that the composition of gut microbiota in the PSD patients differed significantly from that in non-PSD patients. The genus Streptococcus, Akkermansia, and Barnesiella were significantly increased in PSD patients compared to non-PSD, while the genus Escherichia-Shigella, Butyricicoccus, and Holdemanella were significantly decreased. Correlation analyses displayed that Akkermansia, Barnesiella, and Pyramidobacter were positively correlated with HAMD score, while Holdemanella was negatively correlated with HAMD score. The optimal microbial markers were determined, and the combination achieved an area under the curve (AUC) value of 0.705 to distinguish PSD from non-PSD. Our findings suggest that PSD patients had distinct gut microbiota compared to non-PSD patients, and explore the potential of microbial markers, which might provide clinical decision-making in PSD.

Association between lesion location and depressive symptoms in acute ischemic stroke patients using voxel-based lesion-symptom mapping

Objective: The study aimed to investigate the association between lesion location and post-stroke depression (PSD) in acute ischemic stroke patients. Methods: In this case-control study, acute ischemic stroke patients were recruited from the Department of Neurology, First Affiliated Hospital of the University of Science and Technology of China (USTC), between September 2020 and June 2021. According to the Diagnostic and Statistical Manual of Mental Disorders (DSM-5) criteria, the patients were divided into the PSD and non-PSD groups. The 24-item Hamilton Rating Scale (HAMD) was used to evaluate the severity of depression. The Student's t-test, Mann-Whitney test, and Chi-square test were used to compare the clinical baseline characteristics of PSD and non-PSD groups. Voxel-based lesion-symptom mapping (VLSM) was applied to investigate the association between lesion location and depression occurrence and severity. Results: A total of 70 and 173 patients were admitted to the PSD and non-PSD groups, respectively. The mean age of patients was 59 years (23-86). There were 153 males and 90 females. Univariate analysis showed a significant difference only in Hamilton Anxiety (P=0.025) and Depression (P<0.001) scores between the PSD and non-PSD groups. VLSM analysis identified clusters within the anterior cingulate gyrus (Z=-3.05, P<0.001), left hippocampus (Z=-3.15, P<0.001), and left lingual lobe (Z=-3.08, P<0.001) where lesions were significantly associated with PSD. Additionally, the severity of PSD was associated with damage in the anterior cingulate gyrus (Z=-3.64, P<0.001), left hippocampus (Z=-3.51, P<0.001), left lingual lobe (Z=-4.18, P<0.001), and pericalcarine cortex (Z=-3.65, P<0.001). Conclusion: VLSM demonstrated that lesion location could be used to predict the occurrence of PSD in patients with acute ischemic stroke.

Predviđanje depresije nakon moždanog udara sa kombinovanim biomarkerima krvi IL-6, TNF-a i proteinom koji vezuje masnu kiselinu - prospektivna studija

Background: To investigate the expression levels of blood biomarkers interleukin-6 (IL-6), tumour necrosis factor (TNF-a), and intestinal fatty acid binding protein (iFABP) in patients with post-stroke depression (PSD), and their correlation with PSD occurrence. Methods: Clinical data of stroke patients admitted to the First People's Hospital of Wenling from December 2017 to December 2022 were retrospectively analyzed. Patients were classified into two groups based on their Hamilton Depression Rating Scale (HAMD) scores: PSD and nonPSD groups. The blood levels of IL-6, TNF-a, and iFABP were compared between the two groups, and their association with PSD occurrence was analyzed. Results: The PSD group had significantly higher levels of IL-6, TNF-a, and iFABP. The combined detection of these biomarkers demonstrated a greater predictive value for PSD occurrence compared to the individual detection of each biomarker. Conclusions: The study indicates that the levels of IL-6, TNF-a, and iFABP in the blood are significantly increased in patients with PSD. The combined detection of these biomarkers can effectively predict the occurrence of PSD, indicating high clinical value.

Cortical reactivity to transcranial magnetic stimulation predicts risk of post-stroke delirium

ObjectivePost-stroke delirium (PSD) is a frequent and with regard to outcome unfavorable complication in acute stroke. The neurobiological mechanisms predisposing to PSD remain poorly understood, and biomarkers predicting its risk have not been established. We tested the hypothesis that hypoexcitable or disconnected brain networks predispose to PSD by measuring brain reactivity to transcranial magnetic stimulation with electroencephalography (TMS-EEG). MethodsWe conducted a cross-sectional study in 33 acute stroke patients within 48 hours of stroke onset. Brain reactivity to single-pulse TMS of dorsolateral prefrontal cortex, primary motor cortex and superior parietal lobule of the right hemisphere was quantified by response intensity, effective connectivity, perturbational complexity index (PCIST), and natural frequency of the TMS-EEG response. PSD development was clinically tracked every 8 hours before and for 7 days following TMS-EEG. ResultsFourteen patients developed PSD while 19 patients did not. The PSD group showed lower excitability, effective connectivity, PCIST and natural frequency compared to the non-PSD group. The maximum PCIST over all three TMS sites demonstrated largest classification accuracy with a ROC-AUC of 0.943. This effect was independent of lesion size, affected hemisphere and stroke severity. Maximum PCIST and maximum natural frequency correlated inversely with delirium duration. ConclusionsBrain reactivity to TMS-EEG can unravel brain network states of reduced excitability, effective connectivity, perturbational complexity and natural frequency that identify acute stroke patients at high risk for development of delirium. SignificanceFindings provide novel insight into the pathophysiology of pre-delirium brain states and may promote effective delirium prevention strategies in those patients at high risk.

Association of homocysteine and polymorphism of methylenetetrahydrofolate reductase with early-onset post stroke depression.

Homocysteine (Hcy) has been indicated to be involved in pathophysiology of post stroke depression (PSD). There is a lack of research to study the relationship between Hcy metabolism genes and PSD. Our study aims to investigate the relationship among Hcy metabolism genes, Hcy, and early-onset PSD. We recruited 212 patients with stroke and collected their peripheral blood sample, clinical data, and laboratory test on admission. 12 single nucleotide polymorphisms (SNPs) in methylenetetrahydrofolate reductase (MTHFR), methionine synthase reductase (MTRR), and methionine synthase (MTR) genes were genotyped by high-resolution melt analysis. PSD was diagnosed by DSM-V at 2 weeks after stroke. Binary logistic regression and haplotype analysis were used to examine the association between Hcy metabolism genes and PSD. Mediation analysis was performed to clarify whether the SNPs exerted their effect on PSD by affecting the Hcy level. 81 patients were diagnosed with PSD, and the incidence rate was 38.2%. Hcy level in PSD group was significantly higher than it in non-PSD group (p = 0.019). MTHFR rs1801133 AA genotype an A allele were associated with an elevated risk of PSD after adjustment for some confounding factors (OR = 4.021, 95% CI: 1.459∼11.080, p = 0.007 for AA genotype; OR = 1.808, 95% CI: 1.172∼2.788, p = 0.007 for A allele). Furthermore, the effect of MTHFR rs1801133 AA genotype on PSD was mediated by Hcy (OR = 1.569, 95% CI: 0.013∼3.350, p < 0.05). MTHFR rs1801133 and Hcy were associated with PSD, and MTHFR rs1801133 may exert an effect on PSD via mediating Hcy level. This offers a new perspective for treating PSD and understanding the mechanism of PSD.

Abstract 11278: Association of Homocysteine and C-Reactive Protein With Post-Stroke Depression: A Meta Analysis and Meta Regression

Introduction: Post-stroke depression (PSD) is a common neuropsychiatric complication of stroke with a high incidence of 31% and that is associated with poor functional outcomes and increased mortality. Its pathophysiology is poorly understood, however, evidence suggests that neuroinflammation in reaction to the stroke could play a role in the development of PSD. Hypothesis: To compare C-reactive protein (CRP), and homocysteine (Hcy) levels in post-stroke patients with and without depression. Methods: We systematically searched all electronic databases from inception until May 30th 2022 comparing baseline CRP and Hcy. Results: A total of 12 studies with 3,154 Patients were included in this analysis. The mean age of the overall cohort was 64.8 years with PSD patients appearing to be older than non-PSD patients (mean 67.3 years vs 63.8 years). In terms of gender distribution, there were more females in the PSD group compared with non-PSD groups (48.9% vs 40.7%). PSD patients were more likely to be widowed (18% vs 7.25%) and had a family history of psychiatric disorder (10.4% vs 4.4%) compared to non-PSD patients. Patients with PSD had higher levels of baseline CRP [SMD 0.86, (95% CI 0.65 to 1.08), p&lt;0.001; I2=87%] and Hcy PSD [SMD 1.12, (95% CI 0.57 to 1.67), p&lt;0.001; I2=96%] compared to patients without PSD. Meta-regression was performed using covariates including age, female gender, hypertension, diabetes mellitus, CAD, NIHSS, widowhood and family history of psychiatric disorder. Diabetes mellitus appeared to be the only significant effect modifier (coefficient 0.23, p=0.01) for the association between baseline CRP and PSD. Conclusions: Elevated baseline levels of CRP and Hcy were significantly higher in patients that developed PSD, suggesting that both could play a role in the pathophysiology of PSD and as a potential biomarker for diagnosing risk of depression

Non-REM sleep with hypertonia in Parkinsonian Spectrum Disorders: A pilot investigation

IntroductionFrom an ongoing multicenter effort toward differentiation of Parkinsonian spectrum disorders (PSD) from other types of neurodegenerative disorders, the sleep biomarker non-rapid-eye-movement sleep with hypertonia (NRH) emerged. MethodsThis study included in the PSD group patients with dementia with Lewy bodies/Parkinson disease dementia (DLB/PDD = 16), Parkinson disease (PD = 16), and progressive supranuclear palsy (PSP = 13). The non-PSD group included patients with Alzheimer disease dementia (AD = 24), mild cognitive impairment (MCI = 35), and a control group with normal cognition (CG = 61). In-home, multi-night Sleep Profiler studies were conducted in all participants. Automated algorithms detected NRH, characterized by elevated frontopolar electromyographic power. Between-group differences in NRH were evaluated using Logistic regression, Mann-Whitney U and Chi-squared tests. ResultsNRH was greater in the PSD group compared to non-PSD (13.9 ± 11.0% vs. 3.1 ± 4.7%, P < 0.0001). The threshold NRH≥5% provided the optimal between-group differentiation (AUC = 0.78, P < 0.001). NRH was independently associated with the PSD group after controlling for age, sex, and SSRI/SNRI use (P < 0.0001). The frequencies of abnormal NRH by subgroup were PSP = 92%, DLB/PDD = 81%, PD = 56%, MCI = 26%, AD = 17%, and CG = 16%. The odds of abnormal NRH in each PSD subgroup ranged from 3.7 to 61.2 compared to each non-PSD subgroup. The night-to-night and test-retest intraclass correlations were excellent (0.78 and 0.84, both P < 0.0001). ConclusionsIn this pilot study, NRH appeared to be a novel candidate sleep biomarker for PSD-related neurodegeneration. Future studies in larger cohorts are needed to confirm these findings, understand the etiology of NRH magnitude/duration, and determine whether it is an independent prodromal marker for specific neurodegenerative pathologies.

The potential risk factors of early-onset post-stroke depression from immuno-inflammatory perspective.

BackgroundMounting evidence strongly uncovered that peripheral immuno-inflammatory response induced by acute stroke is associated with the appearance of post-stroke depression (PSD), but the mechanism remains unclear.Methods103 stroke patients were assessed at 2 weeks after onset using Diagnostic and Statistical Manual of Mental Disorders, 5th edition and then divided into PSD and non-PSD groups. Polymorphisms of inflammatory molecules (interleukin [IL]-1β, IL-6, IL-10, IL-18, tumor necrosis factor-α [TNF-α], interferon-γ [IFN-γ] and C-reactive protein [CRP]), complete blood count parameters, splenic attenuation (SA) and splenic volume (SV) on unenhanced chest computed tomography, demographic and other clinical characteristics were obtained. Binary logistic regression model was used to analyze the associations between inflammation-related factors and the occurrence of PSD at 2 weeks after stroke.Results49 patients were diagnosed with PSD at 2 weeks after onset (early-onset PSD). The C/T genotypes of CRP rs2794520 and rs1205 were less in PSD group than non-PSD group (both adjusted odds ratio = 3.364; 95%CI: 1.039-10.898; p = 0.043). For CRP rs3091244, the frequency of G allele was higher (80.61% vs. 13.89%) while the frequency of A allele was lower (6.12% vs. 71.30%) in PSD patients than non-PSD patients (χ2 = 104.380; p<0.001). SA of PSD patients was lower than that of non-PSD patients in the presence of CRP rs2794520 C/T genotype and rs1205 C/T genotype (both t = 2.122; p = 0.039). Peripheral monocyte count was less in PSD group than non-PSD group (adjusted odds ratio = 0.057; 95%CI: 0.005-0.686; p = 0.024).ConclusionsCRP polymorphisms, SA based on CRP genotype, and peripheral monocytes are associated with the risk of early-onset PSD, suggesting peripheral immuno-inflammatory activities elicited by stroke in its aetiology.