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.

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 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.

scholarly journals Readmissions for Depression and Suicide Attempt following Stroke and Myocardial Infarction

2020 ◽  
Vol 10 (2) ◽  
pp. 94-104
Author(s):  
Laura K. Stein ◽  
Alana Kornspun ◽  
John Erdman ◽  
Mandip S. Dhamoon
Keyword(s):  
Myocardial Infarction ◽  
Suicide Attempt ◽  
Cox Regression ◽  
Vascular Events ◽  
Discharge Home ◽  
Increased Risk ◽  
Significant Difference ◽  
History Of ◽  
Nationally Representative ◽  
History Of Depression

Background and Purpose: Rates of depression after ischemic stroke (IS) and myocardial infarction (MI) are significantly higher than in the general population and associated with morbidity and mortality. There is a lack of nationally representative data comparing depression and suicide attempt (SA) after these distinct ischemic vascular events. Methods: The 2013 Nationwide Readmissions Database contains >14 million US admissions for all payers and the uninsured. Using International Classification of Disease, 9th Revision, Clinical Modification Codes, we identified index admission with IS (n = 434,495) or MI (n = 539,550) and readmission for depression or SA. We calculated weighted frequencies of readmission. We performed adjusted Cox regression to calculate hazard ratio (HR) for readmission for depression and SA up to 1 year following IS versus MI. Analyses were stratified by discharge home versus elsewhere. Results: Weighted depression readmission rates were higher at 30, 60, and 90 days in patients with IS versus MI (0.04%, 0.09%, 0.12% vs. 0.03%, 0.05%, 0.07%, respectively). There was no significant difference in SA readmissions between groups. The adjusted HR for readmission due to depression was 1.49 for IS versus MI (95% CI 1.25–1.79, p < 0.0001). History of depression (HR 3.70 [3.07–4.46]), alcoholism (2.04 [1.34–3.09]), and smoking (1.38 [1.15–1.64]) were associated with increased risk of depression readmission. Age >70 years (0.46 [0.37–0.56]) and discharge home (0.69 [0.57–0.83]) were associated with reduced hazards of readmission due to depression. Conclusions: IS was associated with greater hazard of readmission due to depression compared to MI. Patients with a history of depression, smoking, and alcoholism were more likely to be readmitted with depression, while advanced age and discharge home were protective. It is unclear to what extent differences in type of ischemic tissue damage and disability contribute, and further investigation is warranted.

Screening for Post-stroke Depression at Discharge Based on Sociodemographic characteristics: Decision Tree Analysis (Preprint)

2021 ◽  
Author(s):  
Guo Li ◽  
Jinfeng Miao ◽  
Chensheng Pan ◽  
Yi Xu ◽  
Ping Jing ◽  
...  
Keyword(s):  
Clinical Practice ◽  
Young Adult ◽  
Decision Tree ◽  
Educational Level ◽  
Associated Factors ◽  
Stroke Patients ◽  
Post Stroke ◽  
Post Stroke Depression ◽  
History Of ◽  
Higher Educational

BACKGROUND Post-stroke depression (PSD) is the most common and serious psychological disorder following stroke. Developing a screening model for PSD at discharge by combination of multiple factors may provide more information in clinical practice than verifying the independent effects of risk factors. OBJECTIVE We aimed to construct two screening tools for PSD in general and young adult stroke patients based on Decision tree (DT) model. METHODS A prospective multicenter cohort study was conducted, including stroke patients within 7 days of the onset of symptoms from May 2018 to October 2019. The associated factors were obtained by multivariate-adjusted binary logistic regression with backward elimination. Chi-squared automatic interaction detection (CHAID) method was used as the separation (growing) method in DT. RESULTS Significant associated factors with PSD at discharge in general stroke patients included hemorrhagic stroke (OR=2.097; 95% CI, 1.36–3.22; P=0.001), higher educational level (OR=0.633; 95% CI, 0.51–0.79; P< 0.001), without medical insurance (OR=1.277; 95% CI, 1.04–1.56; P=0.019) and history of stroke (OR=0.639; 95% CI, 0.48–0.85; P=0.002). History of hypertension and higher educational level were associated with PSD at discharge in young adults in DT model. CONCLUSIONS Several associated factors were found and two decision tree models for PSD at discharge in general and young adult stroke patients were constructed. They could be used as convenient PSD screening tool in clinical practice.

scholarly journals Screening for post-stroke depression in a Brazilian stroke center

2021 ◽  
Author(s):  
Rônney Pinto Lopes ◽  
Lohana Santana Almeida da Silva ◽  
Luiza Ramos de Freitas ◽  
Natalia Trombini Mendes ◽  
Paulo Henrique Maia de Freitas ◽  
...  
Keyword(s):  
Severe Depression ◽  
Stroke Patients ◽  
Cross Sectional ◽  
Post Stroke ◽  
Prevalence Of Depression ◽  
Psychiatric Complication ◽  
Patient Health ◽  
Post Stroke Depression ◽  
History Of ◽  
Stroke Center

Background: Depression is the most common psychiatric complication in stroke patients. Its impact is relevant and implies greater functional impairment, delays in the rehabilitation process and recurrence of cardiovascular events. Objectives: To investigate the prevalence of depression and its association with other comorbidities in post-stroke patients. Design and setting: A cross-sectional, observational study conducted at a specialized outpatient clinic in Sao Paulo, Brazil. Methods: The Patient Health Questionnaire-9 (PHQ-9), a 9-item summed scale, with scores ranging from 0 (no depressive symptoms) to 27 (all symptoms occurring daily), was applied to 134 stroke survivors between September 2019 and February 2020. Demographic and clinical data were obtained using the same structured questionnaire by neurologists. Results: Moderate to severe depression (PHQ-9 ≥10) was present in 40 (29.9%) patients, of whom 55% were female, 70% were overweight or obese (BMI ≥25) and only 27.5% were over 60 years. 80% of patients had some comorbidity: systemic arterial hypertension in 57.5%, diabetes in 32.5%, cardiac arrhythmias in 22.5% and history of heart attack in 5%. Current and past tobacco smoking was found in 67.5% of patients and half of them were current smokers. Conclusions: The prevalence of depression among stroke patients was high in our study and mostly associated with other comorbidities. Our data show the need to actively search for symptoms related to this condition, aiming for early diagnosis and appropriate treatment.

Abstract T MP45: Incidence, Predictors And Mortality Related To Post-stroke Antidepressant Treatment

Stroke ◽  
2015 ◽  
Vol 46 (suppl_1) ◽  
Author(s):  
Janne K Mortensen ◽  
Heidi Larsson ◽  
Søren P Johnsen ◽  
Grethe Andersen
Keyword(s):  
Selective Serotonin Reuptake Inhibitors ◽  
Cox Regression ◽  
Antidepressant Treatment ◽  
Strong Predictor ◽  
Stroke Severity ◽  
Stroke Registry ◽  
Post Stroke ◽  
Kaplan Meier ◽  
Post Stroke Depression ◽  
Mean Time

Objective: To examine incidence, predictors and mortality related to antidepressant treatment after ischemic stroke in a clinical setting. Methods: Patients were identified from the Danish Stroke Registry which holds information on antidepressant treatment due to post stroke depression (PSD) and pathological crying (PC) from 2003-2010. Treatment initiation and mortality were analyzed using Kaplan-Meier curves and Cox regression. Potential predictors of antidepressant treatment were identified using multiple logistic regression. Results: Among 5070 first ever stroke patients without prior antidepressant treatment, 32.5% were treated with antidepressants within six months after stroke, primarily with selective serotonin reuptake inhibitors. Approximately half of the treated patients started treatment during stroke admission (mean time after stroke: 7 days for PC and 10 days for PSD). The vast majority of treated patients started treatment within 90 days (86%). Among patients treated during admission 93.1% redeemed at least one prescription after discharge. The predictor most strongly associated with treatment was stroke severity. The adjusted hazard ratio of death was 0.39 (95% CI: 0.31-0.48) for treated patients as compared to non-treated patients. Conclusion: Antidepressant treatment after stroke was common and often initiated early. Although increasing stroke severity was a strong predictor of antidepressant treatment, treatment was associated with a lower mortality.

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.

scholarly journals Morphological and Metabolic Alteration of Cerebellum in Patients with Post-Stroke Depression

2016 ◽  
Vol 40 (3-4) ◽  
pp. 420-430 ◽  
Author(s):  
Ling Zhang ◽  
Rubo Sui ◽  
Lei Zhang ◽  
Zhuang Zhang
Keyword(s):  
Magnetic Resonance ◽  
Depression Scale ◽  
Resonance Spectroscopy ◽  
Hamilton Depression Scale ◽  
Stroke Patients ◽  
1H Mrs ◽  
Post Stroke ◽  
Cont Group ◽  
Post Stroke Depression ◽  
Norm Group

Background: To study morphological and metabolic changes of cerebellum with multimodality magnetic resonance imaging (MRI) and proton magnetic resonance spectroscopy (1H-MRS), respective, to explore correlation between cerebellum alteration and severity of depression in patients with post-stroke depression. Methods: 60 subjects, including 40 stroke patients and 20 healthy volunteers were enrolled. Depression of stroke patients was tested by Self-rating Depression Scale (SDS) and Hamilton Depression Scale (HAMD), based on which stroke-patients were grouped into post-stroke depression (PSD group) and without post-stroke depression (CONT group). Results: Volume of cerebellum decreased in PSD group and CONT group compared with healthy volunteer (NORM) group. White matter of cerebellum in PSD group and CONT group was disrupted; such disruption was significantly in PSD group. In addition, there was correlation between cerebellum volume and FA and HDRS scores (P<00.01). The Cho/Cr and Cho/NAA ratios in cerebellum contralateral to stroke lesion in PSD were higher than those in NORM group (P<0.05). Cho/Cr and Cho/NAA ratios in contralateral cerebellum and ratio difference of Cho/Cr in bilateral cerebellum were positively correlated with HAMD scales (P<0.05). Conclusion: Morphologic and metabolic alterations are evident in patients with post-stroke depression, indicating possible involvement of cerebellum in post-stroke-depression occurrence.

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.

Natural history definition and a suggested clinical approach to Buerger's disease: a case-control study with survival analysis

Vascular ◽  
2012 ◽  
Vol 20 (4) ◽  
pp. 198-202 ◽  
Author(s):  
Bahare Fazeli ◽  
Hassan Ravari ◽  
Reza Assadi
Keyword(s):  
Multivariate Analysis ◽  
Natural History ◽  
Cox Regression ◽  
Major Amputation ◽  
Clinical Approach ◽  
Buerger’S Disease ◽  
Buerger's Disease ◽  
Cox Regression Analysis ◽  
Kaplan Meier ◽  
History Of

The aim of this study was first to describe the natural history of Buerger's disease (BD) and then to discuss a clinical approach to this disease based on multivariate analysis. One hundred eight patients who corresponded with Shionoya's criteria were selected from 2000 to 2007 for this study. Major amputation was considered the ultimate adverse event. Survival analyses were performed by Kaplan–Meier curves. Independent variables including gender, duration of smoking, number of cigarettes smoked per day, minor amputation events and type of treatments, were determined by multivariate Cox regression analysis. The recorded data demonstrated that BD may present in four forms, including relapsing-remitting (75%), secondary progressive (4.6%), primary progressive (14.2%) and benign BD (6.2%). Most of the amputations occurred due to relapses within the six years after diagnosis of BD. In multivariate analysis, duration of smoking of more than 20 years had a significant relationship with further major amputation among patients with BD. Smoking cessation programs with experienced psychotherapists are strongly recommended for those areas in which Buerger's disease is common. Patients who have smoked for more than 20 years should be encouraged to quit smoking, but should also be recommended for more advanced treatment for limb salvage.

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