Abstract 21: Sex Differences in Post-Stroke Depression in the Elderly

Stroke ◽  
2021 ◽  
Vol 52 (Suppl_1) ◽  
Author(s):  
Naomi Mayman ◽  
Stanley Tuhrim ◽  
Nathalie Jette ◽  
Mandip S Dhamoon ◽  
Laura K Stein
Keyword(s):  
Sex Differences ◽  
Ischemic Stroke ◽  
Time Course ◽  
Cox Regression ◽  
Cumulative Risk ◽  
The Elderly ◽  
Stroke Patients ◽  
Post Stroke ◽  
Post Stroke Depression

Introduction: Post-stroke depression (PSD) occurs in approximately one-third of ischemic stroke patients. However, there is conflicting evidence on sex differences in PSD. Objective: We sought to assess sex differences in risk and time course of PSD in US ischemic stroke (IS) patients. We hypothesized that women are at greater risk of PSD than men, and that a greater proportion of women experience PSD in the acute post-stroke phase. Methods: Retrospective cohort study of 100% de-identified data for US Medicare beneficiaries ≥65 years admitted for ischemic stroke from July 1, 2016 to December 31, 2017. We calculated Kaplan-Meier unadjusted cumulative risk of depression, stratified by sex, up to 1.5 years following index admission. We performed Cox regression to report the hazard ratio (HR) for diagnosis of depression up to 1.5 years post-stroke in males vs. females, adjusting for patient demographics, comorbidities, length of stay, and acute stroke interventions. Results: Female stroke patients (n=90,474) were 20% more likely to develop PSD than males (n=84,427) in adjusted models. Cumulative risk of depression was consistently elevated for females throughout 1.5 years of follow-up (0.2055 [95% CI 0.2013-0.2097] vs. 0.1690 [95% CI 0.1639-0.1741] (log-rank p<0.0001). HR for PSD in females vs. males remained significant in fully adjusted analysis at 1.20 (95% CI 1.17-1.23, p<0.0001). Conclusions: Over 1.5 years of follow-up, female stroke patients had significantly greater hazard of developing PSD, highlighting the need for long-term depression screening in this population and further investigation of underlying reasons for sex differences.

Risk and Predictors of Depression Following Acute Ischemic Stroke in the Elderly

Neurology ◽  
2021 ◽  
pp. 10.1212/WNL.0000000000011828
Author(s):  
Naomi Mayman ◽  
Laura Katherine Stein ◽  
John Erdman ◽  
Alana Kornspun ◽  
Stanley Tuhrim ◽  
...  
Keyword(s):  
Ischemic Stroke ◽  
Cox Regression ◽  
Cumulative Risk ◽  
The Elderly ◽  
Stroke Patients ◽  
Post Stroke ◽  
Medicare Data ◽  
Kaplan Meier ◽  
Post Stroke Depression ◽  
History Of

Objective:We sought to comprehensively evaluate predictors of PSD in the US and compare PSD to post-myocardial infarction (MI) depression, in order to determine whether ischemic stroke (IS) uniquely elevates risk of depression.Methods:This is a retrospective cohort study of 100% de-identified inpatient, outpatient, and subacute nursing Medicare data from 2016-2017 for US patients aged ≥65 years from July 1, 2016 to December 31, 2017. We calculated Kaplan-Meier unadjusted cumulative risk of depression up to 1.5 years following index admission. We performed Cox regression to report the hazard ratio for diagnosis of depression up to 1.5 years post-stroke vs. MI, and independent predictors of PSD, and controlled for patient demographics, comorbidities, length of stay and acute stroke interventions.Results:In fully adjusted models, stroke patients (n=174,901) were ∼50% more likely than MI patients (n=193,418) to develop depression during the 1.5-year follow-up period (Kaplan-Meier cumulative risk 0.1596±0.001 in stroke patients versus 0.0973±0.000778 in MI patients, log-rank p<0.0001). History of anxiety was the strongest predictor of PSD, while discharge home was most protective. Female patients, White patients, and patients younger than 75 years were more likely to be diagnosed with depression post-stroke.Conclusions:Despite the similarities between MI and stroke, patients who suffer from stroke were significantly more likely to develop depression. There were several predictors of post-stroke depression, most significantly history of anxiety. Our findings lend credibility to a stroke-specific process causing depression and highlight the need for consistent depression screening in all stroke patients.

Abstract 22: Risk and Predictors of Depression Following Acute Ischemic Stroke in the Elderly: Comparison With Acute Myocardial Infarction

Stroke ◽  
2021 ◽  
Vol 52 (Suppl_1) ◽  
Author(s):  
Naomi Mayman ◽  
Laura K Stein ◽  
Stanley Tuhrim ◽  
Nathalie Jette ◽  
Mandip S Dhamoon
Keyword(s):  
Myocardial Infarction ◽  
Cox Regression ◽  
Cumulative Risk ◽  
The Elderly ◽  
Stroke Patients ◽  
Vascular Events ◽  
Post Stroke ◽  
Kaplan Meier ◽  
Post Stroke Depression ◽  
History Of

Introduction: Post-stroke depression (PSD) occurs commonly following stroke and is associated with worse outcomes and higher mortality. Previous research has not identified consistent predictors of PSD, and debate remains about whether PSD differs from other types of depression, including depression following other ischemic vascular events. Objective: We sought to comprehensively evaluate predictors of PSD in the US population and compare the hazard of developing PSD to post-myocardial infarction (MI) depression. Methods: Retrospective cohort study of 100% de-identified inpatient, outpatient, and subacute nursing Medicare data from 2016-2017 for US patients aged ≥65 years from July 1, 2016 to December 31, 2017. We calculated Kaplan-Meier unadjusted cumulative risk of depression up to 1.5 years following index admission. We performed Cox regression to report the hazard ratio for diagnosis of depression up to 1.5 years post-stroke vs. MI, as well as independent predictors of PSD, and controlled for patient demographics, comorbidities, length of stay and acute stroke interventions. Results: In fully adjusted models, stroke patients (n=174,901) were approximately 50% more likely than MI patients (n=193,418) to develop depression during the 1.5-year follow-up period (Kaplan-Meier cumulative risk 0.1596 ± 0.001 in stroke patients versus 0.0973 ± 0.000778 in MI patients, log-rank p<0.0001). History of anxiety was the strongest predictor of PSD, while discharge home was most protective. Female patients, White patients, and patients younger than 75 years were more likely to be diagnosed with depression post-stroke. Conclusions: Despite the similarities between MI and stroke, patients who suffer from stroke were significantly more likely to develop depression. There were several predictors of post-stroke depression, most significantly history of anxiety. Our findings lend credibility to a stroke-specific process causing depression and highlight the need for consistent depression screening in all stroke patients.

Red Blood Cell Indices in Relation to Post-stroke Psychiatric Disorders: A Longitudinal Study in a Follow-up Stroke Clinic

2020 ◽  
Vol 17 (3) ◽  
pp. 218-223
Author(s):  
Haichao Wang ◽  
Li Gong ◽  
Xiaomei Xia ◽  
Qiong Dong ◽  
Aiping Jin ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Ischemic Stroke ◽  
Blood Cell ◽  
Cox Regression ◽  
Depression And Anxiety ◽  
Cox Regression Analysis ◽  
Post Stroke ◽  
Rbc Indices ◽  
Post Stroke Depression

Background: Depression and anxiety after stroke are common conditions that are likely to be neglected. Abnormal red blood cell (RBC) indices may be associated with neuropsychiatric disorders. However, the association of RBC indices with post-stroke depression (PSD) and poststroke anxiety (PSA) has not been sufficiently investigated. Methods: We aimed to investigate the trajectory of post-stroke depression and anxiety in our follow- up stroke clinic at 1, 3, and 6 months, and the association of RBC indices with these. One hundred and sixty-two patients with a new diagnosis of ischemic stroke were followed up at 1, 3, and 6 months, and underwent Patient Health Questionnaire-9 (PHQ-9) and the general anxiety disorder 7-item (GAD-7) questionnaire for evaluation of depression and anxiety, respectively. First, we used Kaplan-Meier analysis to investigate the accumulated incidences of post-stroke depression and post-stroke anxiety. Next, to explore the association of RBC indices with psychiatric disorders after an ischemic stroke attack, we adjusted for demographic and vascular risk factors using multivariate Cox regression analysis. Results: Of the 162 patients with new-onset of ischemic stroke, we found the accumulated incidence rates of PSD (1.2%, 17.9%, and 35.8%) and PSA (1.2%, 13.6%, and 15.4%) at 1, 3, and 6 months, respectively. The incident PSD and PSA increased 3 months after a stroke attack. Multivariate Cox regression analysis indicated independent positive associations between PSD risk and higher mean corpuscular volume (MCV) (OR=1.42, 95% CI=1.16-1.76), older age (OR=2.63, 95% CI=1.16-5.93), and a negative relationship between male sex (OR=0.95, 95% CI=0.91-0.99) and PSA. Conclusion: The risks of PSD and PSA increased substantially 3 months beyond stroke onset. Of the RBC indices, higher MCV, showed an independent positive association with PSD.

Abstract TP274: Orosomucoid-1 Protein Increases Following Ischemic Stroke in the Brain and Periphery

Stroke ◽  
2016 ◽  
Vol 47 (suppl_1) ◽  
Author(s):  
Hetal Mistry ◽  
Madeline Levy ◽  
Meaghan Roy-O'Reilly ◽  
Louise McCullough
Keyword(s):  
Sex Differences ◽  
Ischemic Stroke ◽  
Rna Sequencing ◽  
Multiple Testing ◽  
Enzyme Linked Immunosorbent Assay ◽  
Mrna Levels ◽  
Stroke Patients ◽  
Post Stroke ◽  
Protein Levels ◽  
The Brain

Background and Purpose: Orosomucoid-1 (ORM-1) is an abundant protein with important roles in inflammation and immunosuppression. We utilized RNA sequencing to measure mRNA levels in human ischemic stroke patients, with confirmation by serum ORM-1 protein measurements. A mouse model of ischemic stroke was then used to examine post-stroke changes in ORM-1 within the brain itself. Hypothesis: We tested the hypothesis that ORM-1 levels increase following ischemic stroke, with sex differences in protein dynamics over time. Methods: RNA sequencing was performed on whole blood from ischemic stroke patients (n=23) and controls (n=12), with Benjamini-Hochberg correction for multiple testing. Enzyme-linked immunosorbent assay was performed on serum from ischemic stroke patients (n=28) and controls (n=8), with analysis by T-test. For brain analysis, mice (n=14) were subjected to a 90-minute middle cerebral artery occlusion (MCAO) surgery and sacrificed 6 or 24 hours after stroke. Control mice underwent parallel “sham” surgery without occlusion. Western blotting was used to detect ORM-1 protein levels in whole brain, with analysis by two-way ANOVA. Results: RNA sequencing showed a 2.8-fold increase in human ORM-1 at 24 hours post-stroke (q=.0029), an increase also seen in serum ORM-1 protein levels (p=.011). Western blot analysis of mouse brain revealed that glycosylated (p=0.0003) and naive (p=0.0333) forms of ORM-1 were higher in female mice compared to males 6 hours post-stroke. Interestingly, ORM-1 levels were higher in the brains of stroke mice at 6 hours (p=.0483), while at 24 hours ORM-1 levels in stroke mice were lower than their sham counterparts (p=.0212). In both human and mouse data, no sex differences were seen in ORM-1 levels in the brain or periphery at 24 hours post-stroke. Conclusion: In conclusion, ORM-1 is a sexually dimorphic protein involved in the early (<24 hour) response to ischemic stroke. This research serves as an initial step in determining the mechanism of ORM-1 in the ischemic stroke response and its potential as a future therapeutic target for both sexes.

Abstract P32: Potential Underuse of Antidepressants in Post Stroke Depression: Data From the AVAIL Registry

2011 ◽  
Vol 4 (suppl_1) ◽  
Author(s):  
Nada El Husseini ◽  
Daniel T Laskowitz ◽  
Amanda C Guidon ◽  
DaiWai M Olson ◽  
Xin Zhao ◽  
...  
Keyword(s):  
Ischemic Stroke ◽  
Cognitive Status ◽  
Stroke Recurrence ◽  
Stroke Patients ◽  
Living Situation ◽  
Factors Associated ◽  
Post Stroke ◽  
Depression Status ◽  
Post Stroke Depression ◽  
Antidepressant Use

Background: Post-stroke depression is common, yet little is known about factors associated with antidepressant use in this population Methods: Data from the multicenter, prospective Adherence eValuation After Ischemic stroke-Longitudinal (AVAIL) registry was used to identify patients with post-stroke depression and to describe factors associated with antidepressant use. The analysis was performed after 3 months in 1751 ischemic stroke patients who had been admitted to 97 hospitals nationwide; 12 month follow-up was available for 1637 patients. The Get with the Guidelines-Stroke database was used to collect baseline data. Patients were classified as depressed based on a self-report scale (the Patient Health Questionnaire-8; score range 0 to 24, score ≥10 indicating depression). Frequencies were compared with Pearson X 2 and unadjusted ORs were calculated. Results: The prevalence of post stroke depression was similar at 3 and 12 months (19% [331/1751] vs 17% [280/1637], respectively, p=0.17). Regardless of depression status, antidepressant use was higher at 12 months (16% [287/1751] vs 20% [334/1637], p=0.002). Antidepressant use was also higher at 12 months in depressed patients (25% [84/331] vs 35% [98/280], p=0.009). The odds of antidepressant use at 3 months was higher in women than men (OR 1.6, 95% CI 1.2-2.1), Whites vs. Blacks (OR 1.7, 95% CI 1.1-2.8), in patients with vs. without cognitive deficits (OR 1.6, 95% CI 1.2-2.1) and in those with more severe disabilities (mRS≥3 vs. mRS<3, OR 1.7, 95% CI 1.3-2.3). Use did not vary with educational level, marital status, living situation, medication insurance coverage, or stroke recurrence. Similar trends were present at 12 months, except with higher use in those with recurrent stroke or TIA (OR 2.1, 95% CI 1.4-3.1). Conclusion: Three-quarters of depressed stroke patients at 3-months and nearly two-thirds at 12 months were not receiving antidepressants. Regardless of depression status, utilization of antidepressants after 3 and 12 months varied based on gender, race/ethnicity, cognitive status, disability level, and after 12-months, stroke recurrence. The reasons for the apparent underuse of antidepressants in patients with prevalent post-stroke depression require further study.

Abstract W P29: Tissue Plasminogen Activator Mediated Reperfusion, and Subsequent Improvement in Resting State Connectivity Correlates with Functional Outcome in Acute Ischemic Stroke Patients

Stroke ◽  
2015 ◽  
Vol 46 (suppl_1) ◽  
Author(s):  
Souvik Sen ◽  
Johann Fridriksson ◽  
Taylor Hanayik ◽  
Christopher Rorden ◽  
Isabel Hubbard ◽  
...  
Keyword(s):  
Ischemic Stroke ◽  
Functional Connectivity ◽  
Functional Outcome ◽  
Resting State ◽  
Network Connectivity ◽  
Stroke Patients ◽  
Post Stroke ◽  
Resting State Network ◽  
Tissue Plasminogen

Background: Intravenous Tissue Plasminogen Activator (TPA) is the only FDA approved medical therapy for acute ischemic stroke (AIS). Prior study suggests that early recanalization is associated with better stroke outcome. Our aim was to correlate task-negative and task-positive (TN/TP) resting state network activity with tissue perfusion and functional outcome, in stroke patients who received TPA. Method: AIS patients were consented and underwent NIH stroke scale (NIHSS) assessment and magnetic resonance imaging (MRI) scans during TPA infusion (baseline) and six hours post stroke. The MRI sequences include contrast-enhanced perfusion weighted image (PWI) and resting state Blood Oxygen Level-Dependent or BOLD (RSB) images acquired using a Siemens Treo 3T MRI scanner. Additionally, the RSB scan and the NIHSS were obtained at a 30-day follow up visit. Results: Fourteen patients (mean age ± SD=63 ±14, 50% male, 50% white, 43% black and 7% others) who qualified for TPA completed the study at baseline and 6 hours post stroke. Of these, 6 patients had valid follow up data at 30 days. Three patients without cerebral ischemia were excluded. A paired samples t-test comparing baseline and 6h post stroke showed a significantly improved TP network t(10)= -4.24 p< 0.05. The resting network connectivity improved from 6 hours post stroke to 30-days follow up, t(5)= -5.35 p< 0.01. Similarly, NIHSS, at 6h post stroke t(10)= 3.62 p< 0.01 and at 30-days follow up t(5)= -3.4 p< 0.01 were significantly better than the NIHSS at baseline. The 6-hours post-stroke perfusion correlated with the resting network connectivity in both the damaged (r=-0.56 p= 0.07) and intact hemispheres (r= -0.57 p= 0.06). Differences in functional connectivity and NIHSS scores from baseline to 6 h were positively correlated (r= 0.56 p=0.07). Conclusion: In this pilot study we found that TPA led to changes in MRI based resting state networks and associated functional outcome. Correlations were found between perfusion, functional connectivity and NIHSS. This suggests that the improvement of resting state network means improved efficiency of brain activity indicated by functional outcome and may be a potential predictive MRI biomarker for TPA response. A larger study is needed to verify this finding.

Abstract 118: Predictors of Post-Stroke Depression in Ischemic Stroke Patients using the Patient Health Questionnaire-9

Stroke ◽  
2019 ◽  
Vol 50 (Suppl_1) ◽  
Author(s):  
Lauren E Fournier ◽  
Xu Zhang ◽  
Esther Bonojo ◽  
Mary Love ◽  
Jennifer Sanner ◽  
...  
Keyword(s):  
Ischemic Stroke ◽  
Patient Health Questionnaire ◽  
Health Questionnaire ◽  
Stroke Patients ◽  
Post Stroke ◽  
Patient Health ◽  
Post Stroke Depression

scholarly journals Serum lipid profiles and post-stroke depression in acute ischemic stroke patients

2019 ◽  
Vol Volume 15 ◽  
pp. 1573-1583 ◽  
Author(s):  
Huiping Shen ◽  
Xinjie Tu ◽  
Xiaoqian Luan ◽  
Yaying Zeng ◽  
Jincai He ◽  
...  
Keyword(s):  
Ischemic Stroke ◽  
Acute Ischemic Stroke ◽  
Serum Lipid ◽  
Lipid Profiles ◽  
Stroke Patients ◽  
Post Stroke ◽  
Post Stroke Depression

Abstract WP261: Sex Differences in Circulating Leukocyte Subtype and Activation Following Ischemic Stroke

Stroke ◽  
2016 ◽  
Vol 47 (suppl_1) ◽  
Author(s):  
Meaghan Roy-O'Reilly ◽  
Hetal Mistry ◽  
Madeline Levy ◽  
Louise McCullough
Keyword(s):  
Flow Cytometry ◽  
Immune Response ◽  
Sex Differences ◽  
Ischemic Stroke ◽  
Rna Sequencing ◽  
Sequencing Analysis ◽  
Stroke Patients ◽  
Female Patients ◽  
Post Stroke ◽  
Upregulated Genes

Background and Purpose: Females exhibit a more robust immune response in many disease models, yet sex differences in the inflammatory response to ischemia remain largely unexplored. We conducted flow cytometry and RNA sequencing of blood from ischemic stroke patients, with follow-up studies in mice. Hypothesis: We assessed the hypothesis that there are sex differences in the acute immune response to ischemic stroke. Methods: Patient samples were drawn at 24 hours post-stroke for flow cytometry (n=6) and RNA sequencing Analysis (n=40). For murine studies, male and ovariectomized (OVX) female animals (n=14) were subjected to 90-minute middle cerebral artery occlusion or sham surgery and sacrificed at 24 hours. Murine blood was stained for leukocyte markers and CD62L (L-selectin). Results were analyzed by student T-test and two-way ANOVA. Results: RNA sequencing revealed that 24 hours after ischemic stroke, female patients had 79 significantly upregulated genes, compared to male patients with 6 significantly upregulated genes. Human flow cytometry revealed that male stroke patients had a significantly higher percentage of monocytes (p=.026), while females had a greater percentage of CD8+ T-cells (p=.023). Murine flow cytometry showed a post-stroke increase in peripheral myeloid cells at 24 hours in male mice only (p=.0046), whereas female mice had a higher CD8/CD4 T cell ratio (p=.0027). Neutrophils from male sham animals displayed greater L-selectin positivity, with stroke-induced shedding of L-selectin seen only in males (sex/stroke p=.0266). Male monocytes and lymphocytes also displayed higher L-selectin positivity (p=.0079, p=.0004). Conclusion: These results suggest that the immune response to ischemic stroke is different in male and female patients, a phenomenon that can be recapitulated in a mouse model of experimental stroke. Female immune cells exhibit a higher level of baseline activation (reduced L-selectin expression) and post-stroke activity, which may enable a quicker and more robust response to immune challenges. Understanding sex differences in the acute immune response is crucial to developing future immunomodulatory drugs for the safe and effective treatment of ischemic stroke in both sexes.

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