Diagnosis Of Post-stroke Depression Research Articles

Hippocampal exosomes from stroke aggravate post-stroke depression by regulating the expression of proBDNF and p75NTR and altering spine density

Post-stroke depression (PSD) affects millions of patients who suffer cerebral stroke. However, the molecular mechanisms and pathophysiology are poorly understood. Previous studies have shown that exosomes have been proven to be involved in neuropsychiatric disorders such as stroke and post-stroke depression in neurotransmitter release, neuronal remodeling, and neuron angiogenesis. Here we extracted and purified hippocampal exosomes from stroke mouse model to investigate mechanisms of hippocampal exocytosis in PSD assessed by using behavioral tests and biochemical methods. Aiming at the effect of hippocampal exosomes from stroke on the development of PSD, behavioral test was compared including sugar water preference experiment, open fields, forced swimming test, to explore it in depth. Further, the expression of depression-related protein (proBDNF and p75NTR) and synapse-associated proteins (Synaptotagmin and PSD95) was evaluated by Western blotting, RT-qPCR or immunofluorescence staining. Density of dendritic protrusions of neurons was assessed by Golgi staining to measure changes in spine density after the treatment of hippocampal exosomes from stroke. Our results revealed that injection of exosomes from stroke models significantly aggravated depressive-like behaviors, increase of depression-related protein (proBDNF and p75NTR) expression and deficiency of synapse-associated proteins (Synaptotagmin and PSD95) expression, and the decreased number of spin density. Our findings together suggest that hippocampal exosomes from stroke cause exacerbation of depressive-like behavior in mice, possibly resulting from the regulation of neurogenesis by its depression-associated proteins (proBDNF and p75NTR). Therefore, hippocampal exosomes from stroke are promising targets for the diagnosis and treatment of PSD.

The Relationship Between Poststroke Dysphagia and Poststroke Depression and Its Risk Factors.

A diagnosis of dysphagia and/or depression after stroke can impact the physical, psychological, and social welfare of stroke survivors. Although poststroke depression (PSD) and poststroke dysphagia are known to occur concurrently, there is a paucity of research that has specifically investigated their association. Therefore, we aimed to study the relationship between PSD and poststroke dysphagia during acute inpatient hospitalization and within 90 days after discharge. Furthermore, we aimed to evaluate the odds and hazard of being diagnosed with depression after stroke and estimate the time to depression diagnosis from the initial stroke diagnosis in patients with and without a diagnosis of dysphagia. Using the acute inpatient hospital data set from our previous work, we pulled additional postdischarge administrative claims data from the 2017 Medicare 5% Limited Data Set and conducted a retrospective, cross-sectional study of patients diagnosed with poststroke dysphagia and PSD. Patients diagnosed with poststroke dysphagia had 2.7 higher odds of being diagnosed with PSD and had an approximately 1.75-fold higher hazard for PSD diagnosis in the 90 days after discharge compared to patients not diagnosed with dysphagia. Risk factors for PSD included having dysphagia, being female, and having dual eligibility. Our results demonstrated a significant association between PSD and poststroke dysphagia. Additional research should further explore the impact of PSD on poststroke dysphagia.

The safety and efficacy of escitalopram and sertraline in post-stroke depression: a randomized controlled trial

ObjectivesThis study aims to evaluate the safety and efficacy of escitalopram and sertraline in post-stroke depression (PSD) patients, to provide more reliable therapeutics for cardiovascular and psychiatric clinical practice.MethodsWe recruited 60 patients (aged 40–89 years old) with an ICD-10 diagnosis of PSD, who were then randomly assigned to two groups and treated with flexible doses of escitalopram (10 to 20 mg/day, n = 30) or sertraline (50 to 200 mg/day, n = 30) for consecutive 8 weeks, respectively. The 24-item Hamilton Depression Rating Scale (HAMD-24), the 14-item Hamilton Anxiety Rating Scale (HAMA-14), the Treatment Emergent Symptom Scale (TESS), the Montreal Cognitive Assessment Scale (MOCA), and the Activity of Daily Living scale (ADL) were used to assess patients before, during, and after treatment for depression, anxiety, adverse effects, cognitive function, and daily living activities. Repeated measures ANOVA, the Mann–Whitney U test, the chi-square test (χ2), or Fisher’s exact test was employed to assess baseline demographics, response rate, adverse effects rate, and changes in other clinical variables.ResultsSignificant reduction in HAMD-24 and HAMA-14 scores was evaluated at baseline, as well as 1, 3, 4, 6, and 8 weeks of drug intervention (p < 0.01). There was a significant group difference in post-treatment HAMD-24 scores (p < 0.05), but no difference was observed in HAMA-14 scores (p > 0.05). Further analysis showed a significant variance in the HAMD-24 scores between the two groups at the end of the first week (p < 0.01). The incidence of adverse effects in both patient groups was mild, but there was a statistically significant difference between the two groups (p < 0.05). The improvement in cognitive function and the recovery of daily living abilities were comparable between both groups (p > 0.05).ConclusionEscitalopram and sertraline showed comparable efficacy for anxiety symptoms, cognitive function, and daily living abilities in PSD patients. In addition, escitalopram was more appropriate for alleviating depressive symptoms. To validate the conclusion, trials with a larger sample size are in demand in the future. The registration number is ChiCTR1800017373.

Analysis of radiological features in patients with post-stroke depression and cognitive impairment.

Post-stroke depression (PSD) and post-stroke cognitive impairment (PSCI) are common complications following a stroke, significantly impacting the quality of life and survival time of survivors. Currently, the comorbidity of PSCI and PSD is receiving increasing attention, as they share some common clinical characteristics, mechanisms, risk factors, radiological features, and treatment strategies. They influence each other, with the clinical prevalence of PSD comorbid with PSCI reaching as high as 26.15 %. The prevention, screening, diagnosis, and treatment of PSD and PSCI require collaboration across clinical, radiological, and neuropsychological evaluations. This paper aims to summarize the common radiological features of both conditions from a radiological perspective, which may aid in identifying early screening and predictive imaging biomarkers.

Alteration of gut microbiota in post-stroke depression patients with Helicobacter pylori infection

Background: Several studies have identified an association between the gut microbiome and post-stroke depression(PSD), and Helicobacter pylori(H. pylori) infection cause significant alterations in the composition of the gastrointestinal microbiome. However, evidence regarding the role of the H. pylori infection in promoting PSD is still lacking. Here, we conducted a retrospective study to explore risk factors associated with PSD.Methods: Patients with cerebral infarction were consecutively enrolled from December 2021 to October 2022. The diagnosis of PSD is based on the DSM-V criteria, and the Hamilton Depression Rating Scale(HAMD) was used to identify patients with PSD. White matter lesions were evaluated using magnetic resonance imaging(MRI) and H. pylori infection was detected by 13C-urea breath test. Further, 16S rRNA gene sequencing was used to evaluate the changes in gut microbiota composition of fecal samples from PSD patients. The concentration of short-chain fatty acids(SCFAs) was determined by gas chromatography–mass spectrometry(GC–MS).Results: Multivariate regression analysis showed that deep white matter lesions(DWMLs) [odds ratio(OR) 3.382, 95% confidence interval(CI) 1.756–6.512; P = 0.001] and H. pylori infection(OR 2.186, 95% CI 1.149–4.159; P = 0.017) were the independent risk factors for PSD. Patients with H. pylori infection had more severe depressive symptoms than patients without infection. Intestinal microbiota was significantly different between H. pylori-positive PSD[H. pylori(+)] patients and H. pylori-negative PSD[H. pylori (−)] patients. Fecal SCFAs concentrations were significantly reduced in the H. pylori(+) group compared to the negative ones.Conclusion: DWMLs and H. pylori infection may play important roles in the development of PSD. H. pylori infection is likely to be involved in the pathogenesis of PSD by altering the intestinal flora.

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.

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.

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.

Correlation research of serum substance P, CCK-8, and 5-HT values with depression levels in stroke survivors.

This study aimed to investigate the correlation of serum octapeptide cholecystokinin-8 (CCK-8), substance P (SP), and 5-hydroxytryptryptamine (5-HT) values with depression levels in patients with post-stroke depression (PSD). It also aimed to explore the potential approach for the early diagnosis of PSD. A correlation research between patients' biochemical indicators and depression levels was performed among 70 stroke patients during hospitalization from June 2021 to February 2022. The 70 stroke patients were selected and divided into post-stroke depression and non-depression groups according to the Hamilton Depression Scale (HAMD) score. The concentrations of CCK-8, SP, and 5-HT in both groups were measured, and the relationship between the values of CCK-8, SP, 5-HT and the depression levels was analyzed. Among the 70 stroke survivors, 35 were in the depression group and 35 were in the non-depression group. Significant differences were observed in the concentration of CCK-8, SP, and 5-HT between the patients in the depression and non-depression group (p < 0.05). Accompanied by an increase in the depression level, the SP value gradually increased, but the CCK-8 and 5-HT values gradually decreased. Spearman correlation analysis indicated that the order of the correlation between CCK-8, 5-HT, SP, and the depression levels was CCK-8 > SP > 5-HT. All the CCK-8, SP and 5-HT values were correlated with the depression levels in stroke survivors. Furthermore, the correlation between CCK-8, SP, and post-stroke depression levels was higher than that of 5-HT, suggesting that the early diagnosis of PSD may be reflected more precisely through the detection of CCK-8, and SP values, thus providing potential priority for biochemical detection in the diagnosis of PSD.

Determinants of post-stroke depression among stroke survivors at University of Gondar Hospital, Northwest Ethiopia: a case-control study

BackgroundStroke is one of the most common causes of disability among adults. Post-stroke depression (PSD) is a frequent neuropsychiatric complication in stroke patients. Despite the increasing prevalence of stroke, there is a paucity of data on PSD and its determinants among stroke survivors in developing countries like Ethiopia. We aim to assess the factors associated with PSD in survivors of stroke.MethodA hospital-based unmatched case-control study was conducted during the period of February to July 2020 at University of Gondar Hospital among stroke survivors. Study subjects were recruited consecutively. Socio-demographic and clinical data were obtained from patients’ interviews and medical record reviews. A diagnosis of PSD was made using the Patient Health Questionnaire (PHQ-9). EpiData version 3.1 was used to enter data, and SPSS version 26 was used to analyze it. Bivariate and multivariate logistic regressions were fitted to identify associated variables. The adjusted odds ratio (AOR) with 95% confidence interval (CI) and p-value 0.05 were used to determine the significance of the association.ResultA total of 240 stroke survivors were included in the study (80 cases and 160 controls). The mean age was 60.8 years (SD ± 14.3) with an equal sex distribution. Variables statistically associated with PSD were male gender (AOR = 3.5, 95% CI: 1.64-7.46 C, P-value = 0.001), subcortical location of the largest lesion (AOR = 2.42, 95% CI: 1.06–5.56, p-value = 0.036), severity of the stroke (AOR = 52.34, 95% CI:10.64-256.87, p-value = 0.000), physical disability (AOR = 5.85. 95% CI:1.94–17.65, p-value = 0.002), previous history of stroke or transient ischemic attack (AOR = 5.90, 95% CI:2.04–17.10, p-value = 0.001) and ischemic heart disease (AOR = 9.97, 95% CI:3.4-29.22, p-value = 0.000).ConclusionImportant factors in the occurrence of PSD in this study include prior history of stroke, physical disability, severity of the stroke, subcortical location of the lesion, male gender, and ischemic heart disease. Stroke patients with such factors need routine screening for PSD, particularly in LMICs where there is uncoordinated post-stroke care, a shortage of neurologists and mental health practitioners.

The effect of intensive family-centered health education on the awareness rate, diagnosis, and treatment of post-stroke depression in community families

ObjectiveTo investigate the effects of intensive family-centered health education on the awareness rate, diagnosis, and treatment of post-stroke depression (PSD) in community families.MethodsElderly patients (60–90 years) from 20 community service centers affiliated with the Department of Neurology and the Medical Association of Tongling Municipal Hospital who had been diagnosed with stroke between January 2017 and June 2020 were screened using the hospital and community electronic medical record system. In this randomized cluster trial, 119 patients from 10 communities were assigned as the control group and received routine community treatment, while 126 patients from the other 10 communities were assigned as the experimental group and received routine treatment plus family-centered intensive health education. After 12 months of medical intervention, the assessment of PSD in the two groups was performed by a neurologist and a psychiatrist, both blind to the study design, using the Hamilton Rating Scale for Depression.ResultsThe awareness rates of the causes, clinical manifestations, treatment plan, and family care of PSD in the experimental group were 88.89, 91.30, 93.65, and 92.06%, respectively. In the control group, the awareness rates of these parameters were 72.27, 69.75, 71.43, and 65.55%, respectively, and the differences between the two groups were statistically significant (P < 0.05). In the experimental group, the rates of PSD diagnosis, prompt medical attendance, drug treatment compliance, and psychotherapeutic treatment compliance were 27.78, 22.22, 18.25, and 11.90%, respectively. In the control group, the rates of these parameters were 13.79, 6.03, 3.48, and 1.72%, respectively, and the differences between the two groups were statistically significant (P < 0.05).ConclusionIntensive family-centered health education can improve the level of knowledge of PSD in the community, promote the timely treatment and diagnosis of PSD in patients, and improve the compliance rates of drug therapy and psychotherapy, so this is worthy of promotion.

Risk, Determinants, and Pharmacologic Treatment of Depression Following Acute Ischemic Stroke.

Background and Purpose: We assessed risk and determinants of new-onset depression in acute ischemic stroke (AIS) patients of all ages and no known history of depression. Additionally, we assessed patterns of post-stroke depression (PSD) treatment with pharmacotherapy. Methods: Retrospective cohort study of de-identified Marketscan Commercial Claims and Encounters and Medicare Supplemental and Coordination of Benefits Datasets for adults age ≥18years admitted with AIS from July 1, 2016-July 1, 2017. We created Kaplan-Meier curves of cumulative risk of PSD up to 1.5years following index AIS admission. We performed Cox regression to report hazard ratios for determinants of PSD up to 1.5years following AIS. We summarized proportions treated with pharmacotherapy and identified the most commonly prescribed medications. Results: Of 8089 AIS patients, 1059 were diagnosed with PSD. At 1 year, cumulative risk of PSD was 13.4% (standard error .4) and 15.3% (standard error .5) at 1.5years. History of anxiety was most strongly associated with PSD and discharge home least. Among those with PSD, 68.8% were prescribed an antidepressant and 8.4% an antipsychotic. The most commonly prescribed antidepressant was sertraline (28.5%). Conclusions: Among AIS patients of all ages, there is a persistently elevated cumulative risk of new diagnosis of PSD in the 1.5years following AIS. Of the >2/3 treated with an antidepressant, sertraline was most commonly prescribed. Screening and treatment strategies for PSD require further study.

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

BackgroundIt is difficult to conduct the precise diagnosis of post-stroke depression (PSD) in clinical practice due to the complex psychopathology of depressive disorder. Several studies showed that gas chromatography–mass spectrometry (GC-MS)-identified urinary metabolite biomarkers could significantly discriminate PSD from stroke survivors.MethodsA systematic review was performed for the keywords of “urinary metabolite” and “PSD” using Medline, Cochrane Library, Embase, Web of Science, PsycINFO, Wanfang, CNKI, CBM, and VIP database from inception to 31 March 2022.ResultsFour related studies were included in the review. Differential urinary metabolites including lactic acid, palmitic acid, azelaic acid, and tyrosine were identified in all the included studies. As a significant deviation in the metabolite biomarker panel, glyceric acid, azelaic acid, phenylalanine, palmitic acid, pseudouridine, and tyrosine were found in at least 2 included studies, which indicated good potential for the differentiation of PSD.ConclusionThe systematic review provided evidence that differential urinary metabolites analyzed by the GC-MS-based approach might be used as a biomarker for the diagnosis and prognosis of PSD.

Relationship Between Depression After Hemorrhagic Stroke and Auditory Event-Related Potentials in a Chinese Patient Group.

PurposePost-stroke depression (PSD) is the most common psychiatric sequelae of stroke. Numerous studies revealed that event-related potentials (ERP) can reflect depression severity to a certain extent, while there is almost no research on depression after hemorrhagic stroke. Therefore, we employed a prospective cross-sectional study to explore the relationship between ERP and depression after hemorrhagic stroke.MethodsA total of 74 patients with intracranial hemorrhage were included in this study. Neurological deficits were evaluated using the National Institutes of Health Stroke Scale (NIHSS) on admission. Depression severity and cognitive impairment were measured using the 17-item Hamilton Depression Scale (HAMD-17) and the Chinese version of the Montreal Cognitive Assessment (MoCA) after two weeks of treatment. All patients were conducted auditory Oddball paradigm for event-related potential mismatch negativity (MMN) and P300.ResultsIn total, 36 patients were diagnosed with PSD at the two weeks of treatment, for a percentage of 48.6%. Depression severity of ICH patients correlated positively with both the latency of MMN (r = 0.376, P = 0.001) and P300 (r = 0.325, P = 0.005), and correlated negatively with both the amplitude of MMN (r=−0.385, P = 0.001) and P300 (r=−0.311, P = 0.007). Depression severity was negatively correlated with cognitive function after hemorrhagic stroke (r=−0.347, P = 0.002).ConclusionThe latency and amplitude of MMN and P300 can well reflect the degree of depression after hemorrhagic stroke, which may help in the early diagnosis and effective treatment of PSD.

Bioinformatic Prediction of Depression-Related Signaling Pathways Regulated by miR-146a in Peripheral Blood of Patients with Post-Stroke Depression.

It was aimed to explore the differential expression of miR-146a-5p in peripheral blood of patients with post-stroke depression (PSD), and to analyze its mechanism using bioinformatics. Stroke patients were selected as the research objects, and were divided into PSD ones and non-post-stroke depression (N-PSD) ones with the National Institutes of Health stroke scale (NHISS) and Hamilton Depression Scale-17 terms (HAMD-17) scores. Peripheral blood of patients was collected for serum miR-146a-5p detection. Targetscan7.1, miRDB, DIANA TOOLS, and more databases were used to predict the target genes of miR-146a-5p. String11.0 was applied to construct a protein interaction network, and GO and KEGG pathway enrichment analysis of target genes was performed. Compared with that of N-PSD patients, serum miR-146a-5p levels in PSD patients were significantly increased (P<0.05). The receiver operator characteristic (ROC) curve suggested that the sensitivity and specificity of miR-146a-5p in predicting PSD were 0.703 and 0.811, respectively. The human miR-146a-5p sequence was highly conserved, with a total of 43 target genes. It involved analysis of activity, signaling pathways, and transcriptional regulation, as well as related signaling pathways such as Toll-like receptors (TLR), neurotrophic factors, and nuclear factor kappa-B (NF-κB). In conclusion, the expression level of miR-146a-5p was abnormally increased in PSD patients, and it could be taken as a candidate marker for the diagnosis of PSD. miR-146a-5p could affect PSD through signaling pathways of TLRs, neurotrophic factors, and NF-κB.

Incidence of post-stroke depression symptoms and potential risk factors in adults with aphasia in a comprehensive stroke center

ABSTRACT Introduction Depression may be a frequent sequela after stroke, however, its incidence has rarely been reported. The likelihood of post-stroke depression (PSD) may relate to individual factors including the presence of aphasia, which also complicates PSD diagnosis. The current study’s purpose was to investigate the incidence of PSD symptoms in adults with aphasia, compare it to the incidence of PSD symptoms in adults without aphasia, and to identify potential risk factors for developing PSD in adults with aphasia. Method Incidence proportions and relative risk were calculated using data compiled from 970 patient records at an urban tertiary care academic institution and comprehensive stroke center throughout the year of 2019. Focusing exclusively on adults with aphasia, the selected variables of age, gender, race, and aphasia severity were used to conduct logistic regression analyses to explore potential risk factors contributing to the development of PSD. Results Adults with aphasia were 7.408 times more likely to exhibit PSD symptoms than adults without aphasia. Logistic regression controlling for the presence of aphasia showed a significant relationship between aphasia severity and post-stroke depression symptoms. Adults with aphasia were 2.06 times more likely to experience post-stroke depression symptoms with every 1-point increase in aphasia severity. Conclusions These findings align with earlier evidence identifying aphasia as a risk factor for experiencing PSD symptoms and also suggest aphasia severity is proportionate to the risk. This highlights the need for early identification of PSD symptoms in persons with aphasia in order to provide timely interventions.

Trends in Diagnosis of Post-Stroke Depression in the U.S. (2003 – 2019) (P6-5.003)

Trends in Diagnosis of Post-Stroke Depression in the U.S. (2003 – 2019) (P6-5.003)

Symptomatic plaque enhancement is associated with early-onset post-stroke depression

BackgroundThe association between imaging features closely associated with symptomatic intracranial atherosclerotic plaques and early-onset post-stroke depression (PSD) is currently unclear. Materials and methods76 ischemic stroke patients who underwent high-resolution vessel wall magnetic resonance imaging (HR-VWI) were divided into PSD and non-PSD groups according to their DSM-V diagnoses and HAMD-17 scores at 14 days after onset. Clinical data and the imaging features associated with symptomatic plaques (including the enhancement index (EI), remodeling index, and plaque surface irregularity) were compared between groups. Multifactorial logistic regression analysis was used to find independent predictors of early-onset PSD. Spearman rank correlation analysis explores the association between clinical data, symptomatic plaque imaging features, and HAMD-17 in patients. ResultsThe sample comprised 36 patients with early-onset PSD. The symptomatic plaque EI and infarct volume were significantly higher in depressed patients than in patients without depression (P < 0.05). Multivariate logistic regression showed that symptomatic plaque EI could be used as an independent predictor of early-onset PSD after correcting for the confounding factor of infarct volume (OR = 1.034, 95% CI:1.014–1.055, P = 0.001). In the total sample, symptomatic plaque EI, infarct volume, and HAMD-17 had a significant positive correlation with each other (P < 0.05). LimitationsThis study focused only on the patients' symptomatic plaques and did not monitor patients' systemic inflammation levels at the time of HR-VWI. ConclusionsThe degree of symptomatic plaque enhancement is an independent predictive imaging marker of early-onset PSD and can be used the early diagnosis of early-onset PSD.

Elevated Red Blood Cell Distribution Width Levels at Admission Predicts Depression After Acute Ischemic Stroke: A 3-Month Follow-Up Study.

PurposeRed blood cell distribution width (RDW) is closely related to inflammatory-related disease markers. The present study aimed to investigate the association between the red blood cell distribution width (RDW) and post-stroke depression (PSD).Patients and MethodsA total of 414 patients with acute ischemic stroke (AIS) admitted to our hospital from June 2018 to July 2021 were consecutively enrolled and received 3 months’ follow-up. According to the 17-item Hamilton Depression Scale (HAMD) assessment, they were divided into PSD group and non-PSD group. Diagnosis of PSD was made in accordance with DSM-IV. RDW was recorded within 24 hours of admission.ResultsAmong the included 414 patients, 95 (22.95%) patients were diagnosed as having PSD at 3 months after stroke. The results showed significantly higher level of RDW in patients with depression (13.69 (IQR13.24–13.88) vs. 13.56 (IQR 12.67–13.77), P<0.001) at admission than patients without depression. After adjustment for potential confounding factors, the odds ratio of PSD was 5.707 (95% CI, 2.717–11.989) for the highest tertile of RDW compared with the lowest tertile. Moreover, based on the receiver operating characteristic (ROC) curve, the optimal cutoff of RDW levels as an indicator for the prediction of PSD was projected as 13.01, which yielded a sensitivity of 83% and a specificity of 41.0%, with an area under the curve (AUC) of 0.643 (95% CI, 0.585–0.701; P = 0.012).ConclusionHigher RDW levels at admission were found to be correlated with PSD 3 months after stroke.

Management of Psychiatric Disorders in Patients with Stroke and Traumatic Brain Injury.

Management of Psychiatric Disorders in Patients with Stroke and Traumatic Brain Injury.