Abstract WP233: Unraveling the Profile and Risk Factors of Post-Stroke Cognitive Impairment Among West African Stroke Survivors: Data From the SIREN Study

Stroke ◽  
2020 ◽  
Vol 51 (Suppl_1) ◽  
Author(s):  
Rufus Akinyemi ◽  
Bruce Ovbiagele ◽  
Onoja Akpa ◽  
Fred Sarfo ◽  
Joshua Akinyemi ◽  
...  

Background: There is paucity of data on the epidemiology of post-stroke cognitive impairment among African stroke survivors. The aim of this study is to report the profile and risk factors of post- stroke cognitive impairment among stroke survivors participating in the Stroke Investigative Research and Education Network (SIREN) Study. Methods: 1566 were evaluated with the Montreal Cognitive Assessment (MoCA) tool, the Community Screening Instrument for Dementia (CSID) and the Stick Design Test three months after the index stroke. Domain scores were derived for executive function, language memory and visuo-constructive/visuospatial domains. Cut off scores were derived from normative cognitive data obtained from comparable healthy stroke-free control subjects. We used conditional logistic regression to estimate odds ratios (OR) with 95% CIs. Results: Of 1566 stroke survivors [mean age 57.7 (13.4) years] who were assessed 3 months after stroke, 37% were impaired in global cognition and 18-43% were impaired in different domains of cognition (executive, memory, language and visuo-constructive). Stroke severity measured by modified NIHSS score had a strong significant negative association with cognitive function in all domains OR 1.96(1.32-2.91). Older age 1.04 (1.02-2.05), male gender 0.69 (0.50 -0.96), low intake of green leafy vegetables 2.83 (2.03 -3.95) and cardiac disease 1.86 (1.31 -2.75) were associated with poorer cognitive performance in different cognitive domains. Conclusion: The frequency of post-stroke cognitive impairment was high among African stroke survivors three months after the ictus. Diet low in green leafy vegetables is a potentially modifiable risk factor for post-stroke cognitive impairment among West Africans.

2020 ◽  
pp. 089198872096827
Author(s):  
Akin Ojagbemi ◽  
Joshua Akinyemi ◽  
Kolawole Wahab ◽  
Lukman Owolabi ◽  
Oyedunni Arulogun ◽  
...  

Objectives: Depression is a risk factor for stroke. There is a knowledge gap on the predictors of prestroke depression in stroke survivors living in low- and middle-income countries (LMICs). We estimated prevalence and predictors of prestroke depression, as well as its association with poststroke depression (PSD) in the largest study of stroke in Africa. Methods: We evaluated information collected as part of the Stroke Investigative Research and Education Network (SIREN) study, a multicentre, case-control study conducted at 15 sites in Ghana and Nigeria. Prestroke depression status was ascertained in stroke survivors using a validated self-report tool, while PSD was assessed using a stroke specific screening tool for depression (“HRQOLISP-E”). Independent associations were investigated using complementary log-log regression and binary logit models. Results: Among 1,977 participants, prestroke depression was found in 141 (7.1%). In multivariate analyses, prestroke depression was significantly associated with tachycardia (OR = 2.22, 95% CI = 1.37-3.56) and low consumption of green leafy vegetables (OR = 1.91, 95% CI = 1.12-3.24). Forty-one (29.1%) of the prestroke depression sub-sample developed PSD. However, prestroke depression was not significantly associated with PSD. Conclusion: The findings should energize before-the-stroke identification and prioritization of limited treatment resources in LMICs to persons with depression who have multiple, additional, risks of stroke.


2019 ◽  
Vol 25 (05) ◽  
pp. 501-506 ◽  
Author(s):  
Martin Taylor-Rowan ◽  
Ruth Keir ◽  
Gillian Cuthbertson ◽  
Robert Shaw ◽  
Bogna Drozdowska ◽  
...  

AbstractObjective: Post-stroke cognitive impairment is common, but mechanisms and risk factors are poorly understood. Frailty may be an important risk factor for cognitive impairment after stroke. We investigated the association between pre-stroke frailty and acute post-stoke cognition. Methods: We studied consecutively admitted acute stroke patients in a single urban teaching hospital during three recruitment waves between May 2016 and December 2017. Cognition was assessed using the Mini-Montreal Cognitive Assessment (min=0; max=12). A Frailty Index was used to generate frailty scores for each patient (min=0; max=100). Clinical and demographic information were collected, including pre-stroke cognition, delirium, and stroke-severity. We conducted univariate and multiple-linear regression analyses with covariates forced in (covariates included were: age, sex, stroke severity, stroke-type, pre-stroke cognitive impairment, delirium, previous stroke/transient ischemic attack) to investigate the association between pre-stroke frailty and post-stroke cognition. Results: Complete data were available for 154 stroke patients. Mean age was 68 years (SD=11; range=32–97); 93 (60%) were male. Median mini-Montreal Cognitive Assessment score was 8 (IQR=4–12). Mean Frailty Index score was 18 (SD=11). Pre-stroke cognitive impairment was apparent in 13/154 (8%) patients. Pre-stroke frailty was significantly associated with lower post-stroke cognition (Standardized-Beta=−0.40; p<0.001) and this association was independent of covariates (Unstandardized-Beta=−0.05; p=0.005). Additional significant variables in the multiple regression model were age (Unstandardized-Beta=−0.05; p=0.002), delirium (Unstandardized-Beta=−2.81; p<0.001), pre-stroke cognitive impairment (Unstandardized-Beta=−2.28; p=0.001), and stroke-severity (Unstandardized-Beta=−0.20; p<0.001). Conclusions: Pre-stroke frailty may be a moderator of post-stroke cognition, independent of other well-established post-stroke cognitive impairment risk factors. (JINS, 2019, 25, 501–506)


Neurology ◽  
2021 ◽  
pp. 10.1212/WNL.0000000000011748
Author(s):  
Owen A Williams ◽  
Nele Demeyere

Objective:Investigate the associations between general cognitive impairment and domain specific cognitive impairment with post-stroke depression and anxiety at six-months post-stroke.Methods:Participants were confirmed acute stroke patients from the OCS-CARE study who were recruited on stroke wards in a multi-site study and followed up at a 6 months post-stroke assessment. Depression and anxiety symptoms were assessed by the Hospital Anxiety and Depression Scale sub-scales, with scores greater than seven indicating possible mood disorders. General cognitive impairment at follow-up was assessed using the Montreal Cognitive Assessment, stroke-specific cognitive domain impairments was assessed using the Oxford Cognitive Screen. Linear regression was used to examine the associations between cognition and depression/anxiety symptoms at 6-months, controlling for acute-stroke severity and ADL-impairment, age, sex, education, and co-occurring post-stroke depression/anxiety.Results:437 participants mean age=69.28 years (S.D.=12.17), 226 male (51.72%), were included in analyses. Six-month post-stroke depression (n=115, 26%) was associated with six-month impairment on the MoCA (beta [b] =0.96, standard error [SE] =0.31, p=0.006), and all individual domains assessed by the OCS: spatial attention (b=0.67, SE=0.33, p =0.041), executive function (b=1.37, SE=0.47, p=0.004), language processing (b=0.87, SE=0.38, p=0.028), memory (b=0.76, SE=0.37, p=0.040), number processing (b=1.13, SE=0.40, p=0.005), praxis (b=1.16, SE =0.49, p=0.028). Post-stroke anxiety (n=133, 30%) was associated with impairment on the MoCA (b=1.47, SE=0.42, p=0.001), and spatial attention (b=1.25, SE=0.45, p=0.006), these associations did not remain significant after controlling for co-occurring post-stroke depression.Conclusion:Domain-general and domain-specific post-stroke cognitive impairment was found to be highly related to depressive symptomatology but not anxiety symptomatology.


2012 ◽  
Vol 6 (3) ◽  
pp. 152-157 ◽  
Author(s):  
Luisa Terroni ◽  
Matildes F.M. Sobreiro ◽  
Adriana B. Conforto ◽  
Carla C. Adda ◽  
Valeri D. Guajardo ◽  
...  

ABSTRACT The relationship between depression and cognitive impairment, frequent after stroke, is complex and has not been sufficiently elucidated. Objective: To review the relationship between post-stroke depression and cognitive impairment. Methods: We performed a PubMed database search spanning the last ten years, using the terms post-stroke depression, cognitive dysfunction, cognitive impairment and neuropsychological tests. Our target studies were original quantitative studies that investigated the relationship between post-stroke depression (PSD) and cognitive impairment in stroke patients. Articles published in English, Spanish, Italian and Portuguese were considered. Selection criteria were the use of neuropsychological tests to assess cognitive function, and of either instruments to diagnose major depression, or scales to assess depressive symptoms, within the first three months after stroke. Results: Six original quantitative studies fulfilled the criteria. The prevalence of PSD within the first three months after stroke ranged from 22% to 31%. Incidence ranged from 25% to 27% and was evaluated in only two studies. PSD was associated with increased cognitive impairment. Cognitive impairment was reported in 35.2% to 87% of the patients. Post-stroke cognitive deficits were reported mostly in executive function, memory, language, and speed of processing. Conclusion: Executive dysfunction and depression occur in stroke survivors, are frequently coexistent, and also associated with worse stroke prognosis. Healthcare professionals need to address and provide adequate treatment for depression and executive dysfunctions in stroke patients early in the first three months after stroke. Future studies should evaluate the efficacy of programs evaluating the early detection and treatment of PSD and executive dysfunction in stroke survivors.


Stroke ◽  
2017 ◽  
Vol 48 (suppl_1) ◽  
Author(s):  
Terence J Quinn ◽  
Robert Shaw ◽  
Martin Taylor-Rowan

Introduction: Guidelines recommend screening all stroke admissions for cognitive impairment. Delirium may be an important contributor to cognitive problems, but available data are limited by potential selection biases and imperfect delirium assessment. We aimed to describe robust estimates of delirium occurrence (incidence and prevalence) and risk factors in an acute stroke unit (ASU). Methods: We collected data from sequential admissions to our University Hospital ASU over a 20 week period (Feb-July 2016). The only exclusion was where the clinical team felt that any form of assessment was inappropriate. We aimed to perform cognitive assessments at 48 hours post stroke. Cognitive assessments were based on mini Montreal Cognitive Assessment (m-MoCA) and GP-Cog informant interview to assess for pre-stroke dementia. We assessed for delirium based on DSM-V criteria. We described univariable and multivariable associations with delirium occurrence. Results: Across the study period, 184 strokes were admitted; median age 71 years (IQR:61-79). Some form of cognitive assessment was available for 178 (97%). In total. 152 had evidence of cognitive impairment on m-MOCA, 55 (31%) met criteria for delirium and 25 (15%) had pre-stroke dementia. Significant univariable associations with delirium were:age and pre-existing cognitive decline. On logistic regression:age, history of drug or alcohol misuse and pre-stroke mRS were all independently associated with delirium. Discussion: In an unselected ASU population a substantial proportion will have cognitive impairment based on screening. Delirium is common and contributes to this cognitive problems seen in acute stroke. Independent associations with delirium occurrence were identified but were non-modifiable. Our results have implications for policy and practice. As post-stroke cognitive impairment is multifactorial, screening delirium and pre-existing cognitive issues should form part of the initial assessment.


Author(s):  
Olushola Olibamoyo ◽  
Abiodun Adewuya ◽  
Bolanle Ola ◽  
Olurotimi Coker ◽  
Olayinka Atilola

Background: There is mixed evidence for the hypothesis that the risk of depression after stroke is influenced by the location of lesions in the hemispheres, demographic and clinical factors, and disability of stroke survivors.Aim: The current study determined the prevalence of depression and its socio-demographic and clinico-pathological correlates among stroke survivors in a tertiary hospital in Lagos, Nigeria.Method: The cross-sectional study was carried out among 112 adult patients with a clinical history of stroke confirmed by neuroimaging. Depression was diagnosed using Mini International Neuropsychiatric Interview. The socio-demographic profile was obtained, and cognitive impairment was assessed using the Mini-Mental State Examination. Stroke severity was assessed retrospectively using the National Institute of Health Stroke Scale and current disability was measured using the Modified Rankin Scale.Results: There were 48 (42.9%) stroke survivors with a clinical diagnosis of depression. Using binary logistic regression, the independent determinants of depression were younger age, unemployment, perceived poor social support, increasing number of previous admissions because of stroke, cognitive impairment, severity of stroke and current disability status. However, there was no significant association between depression and lesion location.Conclusion: Depression is a common associate of stroke, and there is a need for sustained focus on young stroke survivors with severe stroke, especially those who do not have social support and have low socio-economic status, who may have a higher risk of developing depression following stroke.


PLoS ONE ◽  
2021 ◽  
Vol 16 (11) ◽  
pp. e0259806
Author(s):  
Brent Strong ◽  
Michele C. Fritz ◽  
Liming Dong ◽  
Lynda D. Lisabeth ◽  
Mathew J. Reeves

Introduction Post-stroke depression is a disabling condition that occurs in approximately one-third of stroke survivors. There is limited information on changes in depressive symptoms shortly after stroke survivors return home. To identify factors associated with changes in post-stroke depressive symptoms during the early recovery period, we conducted a secondary analysis of patients enrolled in a clinical trial conducted during the transition period shortly after patients returned home (MISTT). Methods The Michigan Stroke Transitions Trial (MISTT) tested the efficacy of social worker case management and access to online information to improve patient-reported outcomes following an acute stroke. Patient Health Questionnaire-9 (PHQ-9) scores were collected via telephone interviews conducted at 7 and 90 days post-discharge; higher scores indicate more depressive symptoms. Generalized estimating equations were used to identify independent predictors of baseline PHQ-9 score at 7 days and of changes over time to 90 days. Results Of 265 patients, 193 and 185 completed the PHQ-9 survey at 7 and 90 days, respectively. The mean PHQ-9 score was 5.9 at 7 days and 5.1 at 90 days. Older age, being unmarried, and having moderate stroke severity (versus mild) were significantly associated with lower 7-day PHQ-9 scores (indicating fewer depressive symptoms). However, at 90 days, both unmarried patients and those with moderate or high stroke severity had significant increases in depressive symptoms over time. Conclusions In stroke patients who recently returned home, both marital status and stroke severity were associated with depressive symptom scores; however, the relationships were complex. Being unmarried and having higher stroke severity was associated with fewer depressive symptoms at baseline, but both factors were associated with worsening depressive symptoms over time. Identifying risk factors for changes in depressive symptoms may help guide effective management strategies during the early recovery period.


2021 ◽  
Vol 12 ◽  
Author(s):  
Stina Aam ◽  
Mari Nordbø Gynnild ◽  
Ragnhild Munthe-Kaas ◽  
Ingvild Saltvedt ◽  
Stian Lydersen ◽  
...  

Introduction: Post-stroke cognitive impairment (PSCI) is common, but evidence on the impact of vascular risk factors is lacking. We explored the association between pre-stroke vascular risk factors and PSCI and studied the course of PSCI.Materials and Methods: Vascular risk factors were collected at baseline in stroke survivors (n = 635). Cognitive assessments of attention, executive function, memory, language, and the Montreal Cognitive Assessment (MoCA) were performed at 3 and/or 18 months post-stroke. Stroke severity was assessed with the National Institutes of Health Stroke Scale (NIHSS). PSCI was measured with global z; MoCA z-score; and z-score of the four assessed cognitive domains. Mixed-effect linear regression was applied with global z, MoCA z-score, and z-scores of the cognitive domains as dependent variables. Independent variables were the vascular risk factors (hypertension, hypercholesterolemia, smoking, diabetes mellitus, atrial fibrillation, coronary heart disease, previous stroke), time, and the interaction between these. The analyses were adjusted for age, education, and sex. There were between 5 and 25% missing data for the variables for PSCI.Results: Mean age was 71.6 years (SD 11.7); 42% were females; and the mean NIHSS score at admittance was 3.8 (SD 4.8). Regardless of vascular risk factors, global z, MoCA, and all the assessed cognitive domains were impaired at 3 and 18 months, with MoCA being the most severely impaired. Atrial fibrillation (AF) was associated with poorer language at 18 months and coronary heart disease (CHD) with poorer MoCA at 18 months (LR = 12.80, p = 0.002, and LR = 8.32, p = 0.004, respectively). Previous stroke was associated with poorer global z and attention at 3 and 18 months (LR = 15.46, p < 0.001, and LR = 16.20, p < 0.001). In patients without AF, attention improved from 3 to 18 months, and in patients without CHD, executive function improved from 3 to 18 months (LR = 10.42, p < 0.001, and LR = 9.33, p = 0.009, respectively).Discussion: Our findings indicate that a focal stroke lesion might be related to pathophysiological processes leading to global cognitive impairment. The poorer prognosis of PSCI in patients with vascular risk factors emphasizes the need for further research on complex vascular risk factor interventions to prevent PSCI.


2019 ◽  
Vol 09 (01) ◽  
pp. 8-22
Author(s):  
Abdulsalam Abdullah ◽  
Abubakar Umar ◽  
M. A. Abdulkadir ◽  
Muhammad Abdullahi Sa’id Bmr ◽  
Jimada Yahaya Danladi

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