Poststroke dementia is associated with recurrent ischaemic stroke

Poststroke Cognitive Impairment and the Risk of Recurrent Stroke and Mortality: Systematic Review and Meta-Analysis

BACKGROUND

Poststroke cognitive impairment (PSCI) occurs in about 60% of patients with stroke in the first year after stroke. However, the question regarding risks of recurrent stroke and mortality in patients with PSCI remains controversial. The goal of this study was to conduct a meta-analysis of published literature to estimate the risks of stroke recurrence and mortality associated with PSCI.

METHODS AND RESULTS

Electronic databases were screened for eligible studies published from 1990 to 2023. The primary end points of this study were recurrent stroke and mortality. Pooled estimates were calculated as hazard ratios (HR) with 95% CIs. Meta-regression analyses evaluated moderating effects of PSCI severity, study design, and study period on recurrent stroke and mortality. Pooled data from 27 studies comprised 39 412 patients with ischemic stroke. Nine studies evaluated the association between PSCI and risk of stroke recurrence that showed the hazard of recurrent stroke risk was significantly higher in patients with PSCI compared with those without it (HR, 1.59 [95% CI, 1.29-1.94]; I2=52.2%). Eighteen studies examined the impact of PSCI on mortality risk. The pooled hazard of mortality was significantly higher in the group with PSCI relative to the non-PSCI group (HR, 2.07 [95% CI, 1.65 -2.59]; I2=89.3%). Meta-regressions showed that the average effect of PSCI on mortality risk differed across study period and study design.

CONCLUSIONS

Based on this meta-analysis PSCI was statistically significantly associated with increased risks of recurrent stroke and all-cause mortality. Poststroke neurocognitive assessment may identify patients at a higher risk who may require more aggressive interventions for secondary prevention.

Peripheral immunity is associated with cognitive impairment after acute minor ischemic stroke and transient ischemic attack

Immunoinflammation is associated with the development of post-stroke cognitive impairment (PSCI), however, peripheral immunity has not been fully explored. We aimed to investigate the association between PSCI and peripheral immune indicators, including neutrophil, lymphocyte, and mononuclear percentages and counts; the systemic immune inflammation index; platelet-to-lymphocyte ratio; neutrophil-to-lymphocyte ratio (NLR); and lymphocyte-to-monocyte ratio. A total of 224 patients with acute minor ischemic stroke or transient ischemic attack with 6-12 months of follow-up were included. PSCI was defined as a Montreal Cognitive Assessment score < 22 during the follow-up period. We performed logistic regression, subgroup analyses based on age and sex, and further established predictive models. We found that increased innate immunity indicators (neutrophils, neutrophil percentage) increased the risk of PSCI, whereas increased adaptive immunity indicator (lymphocytes) were protective against PSCI, especially in patients aged 50-65 years. Neutrophil percentage and NLR improved the predictive efficacy of the models that included demographic, clinical, and imaging information, with the area under the curve increased from 0.765 to 0.804 and 0.803 (P = 0.042 and 0.049, respectively). We conducted a comprehensive analysis of peripheral immunity in PSCI, providing a novel perspective on the early detection, etiology, and treatment of PSCI.

Prediction of post-stroke cognitive impairment after acute ischemic stroke using machine learning

BACKGROUND AND OBJECTIVES

Post-stroke cognitive impairment (PSCI) occurs in up to 50% of patients with acute ischemic stroke (AIS). Thus, the prediction of cognitive outcomes in AIS may be useful for treatment decisions. This PSCI cohort study aimed to determine the applicability of a machine learning approach for predicting PSCI after stroke.

METHODS

This retrospective study used a prospective PSCI cohort of patients with AIS. Demographic features, clinical characteristics, and brain imaging variables previously known to be associated with PSCI were included in the analysis. The primary outcome was PSCI at 3-6 months, defined as an adjusted z-score of less than - 2.0 standard deviation in at least one of the four cognitive domains (memory, executive/frontal, visuospatial, and language), using the Korean version of the Vascular Cognitive Impairment Harmonization Standards-Neuropsychological Protocol (VCIHS-NP). We developed four machine learning models (logistic regression, support vector machine, extreme gradient boost, and artificial neural network) and compared their accuracies for outcome variables.

RESULTS

A total of 951 patients (mean age 65.7 ± 11.9; male 61.5%) with AIS were included in this study. The area under the curve for the extreme gradient boost and the artificial neural network was the highest (0.7919 and 0.7365, respectively) among the four models for predicting PSCI according to the VCIHS-NP definition. The most important features for predicting PSCI include the presence of cortical infarcts, mesial temporal lobe atrophy, initial stroke severity, stroke history, and strategic lesion infarcts.

CONCLUSION

Our findings indicate that machine-learning algorithms, particularly the extreme gradient boost and the artificial neural network models, can best predict cognitive outcomes after ischemic stroke.

Association between exercise habit changes and incident dementia after ischemic stroke

We aimed to investigate the effects of exercise habit changes on the risk of incident dementia after ischemic stroke using the Korean National Health Insurance Services Database. This study included 223,426 patients with a new diagnosis of ischemic stroke between 2010 and 2016 who underwent two serial ambulatory health checkups. The participants were divided into four categories according to their habit change or regular exercise: persistent non-exercisers, new exercisers, exercise dropouts, and exercise maintainers. The primary outcome was new diagnosis of dementia. Multivariate Cox proportional models were used to assess the effects of changes in exercise habits on the risk of incident dementia. After a median of 4.02 years of follow-up, 22,554 (10.09%) dementia cases were observed. After adjusting for covariates, exercise dropouts, new exercisers, and exercise maintainers were significantly associated with a lower risk of incident dementia than persistent non-exercisers (adjusted hazard ratio [aHR] 0.937; 95% confidence interval [CI] 0.905-0.970, aHR 0.876; 95% CI 0.843-0.909, aHR 0.705; 95% CI 0.677-0.734, respectively). The impact of changes in exercise habit was more prominent in the 40-65 years age group. An energy expenditure ≥ 1000 metabolic equivalents of task-min/wk post-stroke, regardless of pre-stroke physical activity status, was mostly associated with a lower risk of each outcome. In this retrospective cohort study, initiating or continuing moderate-to-vigorous exercise after ischemic stroke was associated with a lower risk of dementia development. Further, pre-stroke regular physical activity also reduced the risk of incident dementia. The promotion of exercise in ambulatory stroke patients may reduce their future risk of incident dementia.

Dementia Risk Following Ischemic Stroke: A Systematic Review and Meta-Analysis of Factors Collected at Time of Stroke Diagnosis

BACKGROUND

The majority of stroke cases are ischemic in origin and ischemic stroke survivors represent a high-risk population for progression to dementia.

OBJECTIVE

To determine incidence rates and predictors of dementia after ischemic stroke.

METHODS

A systematic review and meta-analysis compliant with Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA).

RESULTS

5,843 studies were screened for title and abstract. 292 eligible studies were screened for full text. A total of 22 studies met the inclusion criteria and were included, representing 55,929 ischemic stroke survivors. Cumulative incidence of dementia after stroke was 20% at 5 years, 30% at 15 years, and 48% at 25 years of follow-up. Dementia incidence rates were 1.5 times higher among patients with recurrent ischemic stroke compared to patients with first-time stroke. Predictors of dementia after ischemic stroke included female gender (OR 1.2, 95% CI (1.1, 1.4)), hypertension (1.4, (1.1, 2.0)), diabetes mellitus (1.6, (1.3, 2.1)), atrial fibrillation (1.9, (1.2, 3.0)), previous stroke (2.0, (1.6, 2.6)), presence of stroke lesion in dominant hemisphere (2.4, (1.3, 4.5)), brain stem or cerebellum (OR 0.5, (0.3, 0.9)) or frontal lobe (3.7, (1.2, 12.0)), presence of aphasia (OR 7.9, (2.4, 26.0)), dysphasia (5.8, (3.0, 11.3)), gait impairment (1.7, (1.1, 2.7)), presence of white matter hyperintensities (3.2, (2.0, 5.3)), and medial temporal lobe atrophy (3.9, (1.9, 8.3)).

CONCLUSION

Factors routinely collected for stroke patients are a useful resource for monitoring dementia progression in this population. In the present meta-analysis, cardiovascular factors, stroke location, stroke-related disability and chronic brain changes were predictors of dementia after ischemic stroke.

Post-stroke cognitive impairment and the risk of stroke recurrence and death in patients with insulin resistance

OBJECTIVE

Post-stroke cognitive impairment (PSCI) is associated with etiology, severity, and functional outcome of stroke. The risks of recurrent stroke and death in patients with PSCI and insulin resistance (IR) is unknown. The goal of this study was to determine whether global and domain-specific cognitive impairment after stroke in patients with IR was associated with recurrent stroke and death.

MATERIALS AND METHODS

We studied patients with recent stroke or transient ischemic attack (TIA) and IR with a baseline Modified Mini-Mental State Examination (3MS) cognitive exam at median of 79 days after stroke. We considered a baseline score of ≤ 88 on the 3MS to indicate global cognitive impairment, and domain-specific summary scores in the lowest quartile to indicate language, attention, orientation, memory and visuospatial impairments. The primary endpoint was fatal or non-fatal recurrent stroke, and the secondary endpoints were all-cause mortality, and fatal or non-fatal myocardial infarction (MI).

RESULTS

Among studied n = 3,338 patients 13.6% had global cognitive impairment. During the median 4.96 years of follow-up, 7.4% patients experienced recurrent stroke, 3.5% MI, and 7.3% died. In the fully adjusted model, impairment in language (HR 1.35; 95% CI 1.01-1.81) and orientation (HR 1.41; 95% CI: 1.06-1.87) were associated with a higher risk of recurrent stroke, while attention impairment was associated with all-cause mortality (HR 1.34; 95% CI: 1.01-1.78).

DISCUSSION/CONCLUSION

In patients with recent stroke/TIA and IR, post-stroke language and orientation impairments independently predicted recurrent stroke, while attention deficit was associated with increased risk of all-cause mortality.

The relationship between a fish-rich diet and poststroke cognitive impairment: A cross-sectional study with a follow-up in China

Whether a fish-rich diet is positively associated with cognitive function after stroke remains unclear; thus, the present study investigated the relationship between them.The present study was part of a prospective multicenter study, in which 920 individuals (609 males, mean age, 62.78 ± 11.79 years) were included from November 2013 to December 2015. The cognitive function of the patients was evaluated, and the diagnosis of poststroke cognitive impairment (PSCI) was made during their stay in the hospital. A subgroup of 439 patients from a single center was followed up for 4 to 6 years and was reassessed for cognitive function.According to the diagnostic criteria, the PSCI prevalence was lower in the fish-rich diet group (P < .05). After adjusting for demographic and clinical variables by logistic regression, patients with a habit of consuming a fish-rich diet had a lower risk of developing PSCI than patients without a fish-rich diet (odds ratio [OR]: 0.74; 95% confidence interval [CI]: 0.46-0.95). When MMSE score was considered the cognitive function outcome variable, the long-term cognitive function of the fish-rich diet group was better (28 [26-30] vs 27 [25-29], P < .01), but the statistical results were not significant after correcting for the related confounding factors (β: 0.13; 95% CI: -0.99-1.25; P = .82).There was a negative relationship between consuming a fish-rich diet and the prevalence of PSCI, and there was no statistically significant difference in the relationship of a fish-rich diet on long-term cognitive function after stroke, which requires further study.

Post-Stroke Cognitive Impairment: Epidemiology, Risk Factors, and Management

Stroke, characterized as a neurological deficit of cerebrovascular cause, is very common in older adults. Increasing evidence suggests stroke contributes to the risk and severity of cognitive impairment. People with cognitive impairment following stroke often face with quality-of-life issues and require ongoing support, which have a profound effect on caregivers and society. The high morbidity of post-stroke cognitive impairment (PSCI) demands effective management strategies, in which preventive strategies are more appealing, especially those targeting towards modifiable risk factors. In this review article, we attempt to summarize existing evidence and knowledge gaps on PSCI: elaborating on the heterogeneity in current definitions, reporting the inconsistent findings in PSCI prevalence in the literature, exploring established or less established predictors, outlining prevention and treatment strategies potentially effective or currently being tested, and proposing promising directions for future research.

StrokeCog Markov Model: Projected Prevalent and Incident Cases of Stroke and Poststroke Cognitive Impairment to 2035 in Ireland

BACKGROUND AND PURPOSE

Cognitive impairment no dementia (CIND) and dementia are common stroke outcomes, with significant health and societal implications for aging populations. These outcomes are not included in current epidemiological models. We aimed to develop an epidemiological model to project incidence and prevalence of stroke, poststroke CIND and dementia, and life expectancy, in Ireland to 2035, informing policy and service planning.

METHODS

We developed a probabilistic Markov model (the StrokeCog model) applied to the Irish population aged 40 to 89 years to 2035. Data sources included official population and hospital-episode statistics, longitudinal cohort studies, and published estimates. Key assumptions were varied in sensitivity analysis. Results were externally validated against independent sources. The model tracks poststroke progression into health states characterized by no cognitive impairment, CIND, dementia, disability, stroke recurrence, and death.

RESULTS

We projected 69 051 people with prevalent stroke in Ireland in 2035 (22.0 per 1000 population [95% CI, 20.8-23.1]), with 25 274 (8.0 per 1000 population [95% CI, 7.1-9.0]) of those projected to have poststroke CIND, and 12 442 having poststroke dementia (4.0 per 1000 population [95% CI, 3.2-4.8]). We projected 8725 annual incident strokes in 2035 (2.8 per 1000 population [95% CI, 2.7-2.9]), with 3832 of these having CIND (1.2 per 1000 population [95% CI, 1.1-1.3]), and 1715 with dementia (0.5 per 1000 population [95% CI, 0.5-0.6]). Life expectancy for stroke survivors at age 50 was 23.4 years (95% CI, 22.3-24.5) for women and 20.7 (95% CI, 19.5-21.9) for men.

CONCLUSIONS

This novel epidemiological model of stroke, poststroke CIND, and dementia draws on the best available evidence. Sensitivity analysis indicated that findings were robust to assumptions, and where there was uncertainty a conservative approach was taken. The StrokeCog model is a useful tool for service planning and cost-effectiveness analysis and is available for adaptation to other national contexts.

Early screening for post-stroke depression, and the effect on functional outcomes, quality of life and mortality: a protocol for a systematic review and meta-analysis

INTRODUCTION

Post-stroke depression (PSD) is a severe complication of cerebrovascular stroke affecting about one-third of stroke survivors. Moreover, PSD is associated with functional recovery and quality of life (QOL) in stroke survivors. Screening for PSD is recommended. There are, however, differences in the literature on the impact of early screening on functional outcomes. In this systematic review, we synthesise the currently available literature regarding the associations between timing and setting of PSD screening and mortality, QOL and functional outcomes in stroke survivors.

METHODS AND ANALYSIS

We will systematically search electronic databases including PubMed, Embase, APA PsycINFO, Web of Science, Scopus and CINAHL from inception to August 2021. Four reviewers will screen the title and abstract and full-text level records identified in the search in a blinded fashion to determine the study eligibility. Any selection disagreements between the reviewers will be resolved by the study investigator. Data extraction of eligible studies will be conducted by two reviewers using a predefined template. We will complete the quality assessment of included articles independently by two reviewers using the Newcastle Ottawa Scale. Eventual discrepancies will be resolved by the principal investigator.

ETHICS AND DISSEMINATION

Due to the nature of the study design, ethical approval is not required. The systematic review and meta-analysis findings will be published and disseminated in a peer-reviewed journal. Our results will also be disseminated through posters and presentations at appropriate scientific conferences.

PROSPERO REGISTRATION NUMBER

CRD42021235993.

Current view on post-stroke dementia

Dementia is one of the leading complications after stroke affecting about one third of survivors. Prevalence of post-stroke dementia (PSD) differs between studies due to variability in methodology, characteristics of included patients, type of stroke, diagnostic tools used to identify patients with dementia, or time when the assessment was performed. Patients diagnosed with PSD are at higher risk of mortality, disability, and institutionalization. Aetiology of PSD may include mixed overlapping processes such as vascular brain pathology or Alzheimer's disease. Several risk factors have been found to increase PSD incidence, involving demographics, vascular factors, stroke characteristics, abnormalities on neuroimaging, and stroke complications. However, the influence of some other factors still remains unclear. PSD may coexist with other neuropsychiatric disorders and its association with post-stroke depression seems to be the most significant. There is a strong need for further research on possible genetic, biological, and inflammatory biomarkers. Also, there are no unambiguously efficacious methods of management. Continuing to address these issues will help to find more effective interventions directly targeting prevention and treatment of PSD in the future.

Cognitive Impairment after Lacunar Stroke and the Risk of Recurrent Stroke and Death

INTRODUCTION

Patients with poststroke cognitive impairment appear to be at higher risk of recurrent stroke and death. However, whether cognitive impairment after lacunar stroke is associated with recurrent stroke and death remains unclear. We assessed whether global or domain-specific cognitive impairment after lacunar stroke is associated with recurrent stroke and death.

METHODS

We considered patients from the Secondary Prevention of Small Subcortical Strokes (SPS3) trial with a baseline cognitive exam administered in English by certified SPS3 personnel, 14-180 days after qualifying lacunar stroke. We considered a baseline score of ≤86 on the Cognitive Assessment Screening Instrument to indicate global cognitive impairment, <10 on the Clock Drawing on Command test to indicate executive function impairment, and domain-specific summary scores in the lowest quartile to indicate memory and nonmemory impairment. We used Cox proportional hazards models to estimate the association between poststroke cognitive impairment and subsequent risk of recurrent stroke and death.

RESULTS

The study included 1,528 participants with a median enrollment time of 62 days after qualifying stroke. During a mean follow-up of 3.9 years, 11.4% of participants had recurrent stroke and 8.2% died. In the fully adjusted models, memory impairment was independently associated with an increased risk of recurrent stroke (hazard ratio, 1.48; 95% confidence interval [95% CI]: 1.04-2.09) and death (hazard ratio, 1.87; 95% CI: 1.25-2.79). Global impairment (hazard ratio, 1.66; 95% CI: 1.06-2.59) and nonmemory impairment (hazard ratio, 1.74; 95% CI: 1.14-2.67) were associated with an increased risk of death.

DISCUSSION/CONCLUSION

After lacunar stroke, memory impairment was an independent predictor of recurrent stroke and death, while global and nonmemory impairment were associated with death. Cognitive screening in lacunar stroke may help identify populations at higher risk of recurrent stroke and death.

Blood pressure variability is related to faster cognitive decline in ischemic stroke patients: PICASSO subanalysis

Blood pressure variability (BPV) is associated with higher cardiovascular morbidity risks; however, its association with cognitive decline remains unclear. We investigated whether higher BPV is associated with faster declines in cognitive function in ischemic stroke (IS) patients. Cognitive function was evaluated between April 2010 and August 2015 using the Mini-mental State Examination (MMSE) and Montreal Cognitive Assessment in 1,240 Korean PICASSO participants. Patients for whom baseline and follow-up cognitive test results and at least five valid BP readings were available were included. A restricted maximum likelihood–based Mixed Model for Repeated Measures was used to compare changes in cognitive function over time. Among a total of 746 participants (64.6 ± 10.8 years; 35.9% female). Baseline mean-MMSE score was 24.9 ± 4.7. The median number of BP readings was 11. During a mean follow-up of 2.6 years, mean baseline and last follow-up MMSE scores were 25.4 ± 4.8 vs. 27.8 ± 4.4 (the lowest BPV group) and 23.9 ± 5.2 vs. 23.2 ± 5.9 (the highest BPV group). After adjusting for multiple variables, higher BPV was independently associated with faster cognitive decline over time. However, no significant intergroup difference in cognitive changes associated with mean systolic BP was observed. Further research is needed to elucidate how BPV might affect cognitive function.

Post-stroke dementia and permanent institutionalization

BACKGROUND

Dementia is among the most frequent causes of institutionalization. To serve the purpose of preventive strategies, there are no follow-up studies that have evaluated the actual impact of post-stroke dementia on institutionalization. We therefore compared the institutionalization rate and length of stay in an institutional care facility of patients with post-stroke dementia with stroke patients without dementia.

METHODS

We included 410 consecutive patients aged 55 to 85 years with ischemic stroke who were admitted to Helsinki University Hospital (The SAM cohort). Hospitalization and nursing home admissions were reviewed from national registries. Dementia was diagnosed using the Diagnostic and Statistical Manual of Mental Disorders 3rd edition (DSM-III) criteria using extensive clinical assessments performed 3 months post-stroke. The cohort had a follow-up 21 years later.

RESULTS

Compared to patients without dementia, post-stroke dementia was associated with shorter survival time (6.60 vs 10.10 years, p < 0.001), shorter time spent not institutionalized (5.40 vs 9.37 years, p < 0.001), but not with time spent permanently institutionalized (0.73 vs 1.10 years, p = 0.08). Post-stroke dementia was associated with higher rates and earlier permanent institutionalization compared to absence of post-stroke dementia (HR 1.53, 95% CI 1.07-2.18) in a Cox regression model adjusting for age, status of living alone at baseline, modified Rankin Scale at baseline, history of atrial fibrillation, and cardiac failure.

CONCLUSIONS

Post-stroke dementia is associated with earlier permanent institutionalization. Due to significantly shorter survival, the time spent in nursing homes was not significantly longer in patients with post-stroke dementia compared with patients without post-stroke dementia.

[Poststroke motor and cognitive impairments: clinical features and current approaches to rehabilitation]

Stroke is one of the most common neurological diseases with high morbidity, disability and mortality, which is an urgent medical and social problem. Clinically, stroke, depending on its nature and location, causes a wide range of neurological disorders, including movement disorders, as well as a variety of cognitive and neuropsychiatric disorders. There is an emerging need for new approaches to manage patients with cerebrovascular diseases during the pandemic of COVID-19. Rehabilitation measures for the correction of motor and cognitive impairments are very diverse. The use of drugs stimulating the production of neurotrophic factors is considered as a promising direction of pharmacotherapy. Cerebrolysin promotes significant regression of motor and cognitive impairments in the acute and recovery period of ischemic stroke. Based on the data of clinical studies, Cerebrolysin is included in the guidelines for the rehabilitation of patients with stroke in Canada and Germany.

Altered Neural Networks in the Papez Circuit: Implications for Cognitive Dysfunction after Cerebral Ischemia

Cerebral ischemia remains a leading cause of mortality worldwide. Although the incidence of death has decreased over the years, surviving patients may suffer from long-term cognitive impairments and have an increased risk for dementia. Unfortunately, research aimed toward developing therapies that can improve cognitive outcomes following cerebral ischemia has proved difficult given the fact that little is known about the underlying processes involved. Nevertheless, mechanisms that disrupt neural network activity may provide valuable insight, since disturbances in both local and global networks in the brain have been associated with deficits in cognition. In this review, we suggest that abnormal neural dynamics within different brain networks may arise from disruptions in synaptic plasticity processes and circuitry after ischemia. This discussion primarily concerns disruptions in local network activity within the hippocampus and other extra-hippocampal components of the Papez circuit, given their role in memory processing. However, impaired synaptic plasticity processes and disruptions in structural and functional connections within the Papez circuit have important implications for alterations within the global network, as well. Although much work is required to establish this relationship, evidence thus far suggests there is a link. If pursued further, findings may lead toward a better understanding of how deficits in cognition arise, not only in cerebral ischemia, but in other neurological diseases as well.

Poststroke cognitive impairment

Cognitive impairment (CI) is one of the leading causes of disability after stroke; CI is observed in more than half of patients and reaches a pronounced degree (of dementia) in every three to five patients. CI in poststroke patients is often caused not only by focal vascular lesions of the brain, but also by the presence of concomitant vascular and neurodegenerative diseases. The treatment and prevention of progressive CI are based on stroke prevention, non-drug and drug methods to improve cognitive functions. Blood pressure normalization during antihypertensive therapy is most effective in preventing the progression of CI in stroke patients. The use of Actovegin in patients with CI after stroke is discussed. The results of the author's own 5-year follow-up of 350 patients with stroke are presented.

Post-stroke cognitive impairment as an independent predictor of ischemic stroke recurrence: PICASSO sub-study

INTRODUCTION

To devise appropriate preventive strategies after stroke, knowledge of the association between post-stroke cognitive impairment (PSCI) and prognosis of stroke patients is important. We investigated the association between PSCI and the vascular outcomes in patients with ischemic stroke with best medical care considering their risk factors and adherence to medications.

METHODS

Of the 1534 ischemic stroke patients who randomly assigned to aspirin or cilostazol treatment with best medical therapy by the PICASSO (PreventIon of CArdiovascular events in iSchemic Stroke patients with high risk of cerebral hemOrrhage) trial, 1240 with baseline mini-mental state examination (MMSE) scores were analysed retrospectively. The patients were classified into three groups based on MMSE scores. Recurrence of ischemic stroke, stroke of any type and composite of major vascular events were compared among them.

RESULTS

Of the 1240 patients, 376 had MMSE scores of 28-30 (highest tertile), 419 had scores of 24-27 (middle tertile) and 445 had scores of 0-23 (lowest tertile). The average time from stroke onset to MMSE examination was 31.8 days. By trend analysis, lower tertile of MMSE score was significantly associated with recurrent ischemic stroke (p = 0.0017), stroke of any type (p = 0.0053) and composite vascular outcome (p = 0.0122). After adjustment for covariates, PSCI was independently associated with risk of recurrent ischemic stroke (HR 2.40, 95% confidence interval 1.12-5.14).

CONCLUSIONS

Cognitive impairment was associated with recurrence of ischemic stroke in high risk patients during adequate medical therapy including antiplatelet therapy. However, the other vascular events were not.

Cerebral Small Vessel Disease Burden Is Associated With Accelerated Poststroke Cognitive Decline: A 1-Year Follow-Up Study

OBJECTIVE

This study investigated the association between small vessel disease (SVD) burden, a combination of multiple SVD markers and cognitive dysfunction after stroke.

METHODS

The study sample comprised 451 patients with first-ever acute ischemic stroke. Cognitive functions were assessed with the Mini-Mental State Examination (MMSE) at 3, 9, and 15 months after the index stroke. Cognitive impairment was defined as an MMSE score of ≤26. A total SVD score, indicating SVD burden, was constructed by summing the scores of the 4 SVD markers (white matter hyperintensities [WMHs], lacunes, cerebral microbleeds, and perivascular spaces) ascertained by magnetic resonance imaging (range: 0-4). The association between SVD burden and cognitive dysfunction was assessed with linear mixed models or generalized estimating equation models, as appropriate.

RESULTS

The majority of patients had mild-to-moderate stroke and at least one identifiable SVD marker. Cognitive impairment was found in about one-third of patients. After adjusting for confounding factors, the SVD burden was associated with MMSE scores (β = -0.37, P = .003) and cognitive impairment (odds ratio [OR] = 1.20, 95% confidence interval [CI] = 1.02-1.42). SVD burden was specifically associated with the performance of MMSE subscores including orientation to place and time, calculation, and word recall. Of the SVD markers, WMHs was the most robust predictor of decrease in MMSE scores (β = -0.25, P = .01) and cognitive impairment (OR = 1.14, 95% CI = 1.01-1.29).

CONCLUSION

Cerebral SVD burden is associated with decreased MMSE scores, suggesting cognitive dysfunction during the first year after mild-to-moderate acute ischemic stroke.

Systematic Review and Meta-Analysis of Prevalence in Post-Stroke Neurocognitive Disorders in Hospital-Based Studies

BACKGROUND/AIMS

Post-stroke neurocognitive disorders (post-stroke NCD) have been reported with a very variable prevalence.

METHODS

Based on a systematic literature search, hospital-based studies published between January 1990 and September 2015 were selected when they reported the prevalence of total, mild, and major post-stroke NCD diagnosed by using specified criteria. Factors affecting prevalence were assessed using meta-regression analysis.

RESULTS

Among the 7,440 references evaluated, 16 hospital-based studies were selected, corresponding to a total of 3,087 patients. The overall prevalence of total post-stroke NCD was 53.4% (95% CI: 46.9-59.8): 36.4% for mild post-stroke NCD (95% CI: 29-43.8) and 16.5% (95% CI: 12.1-20.8) for major post-stroke NCD. The overall prevalence was mainly influenced by the threshold score used for categorization (p = 0.0001) and, in the subgroup of studies using a conservative threshold (i.e., ≤7th percentile), by the recurrent stroke rate (p = 0.0005). The prevalence of major post-stroke NCD was mainly influenced by age (p = 0.003).

CONCLUSION

More than half of stroke survivors experience post-stroke NCD, corresponding to mild post-stroke NCD in two-thirds of cases and major post-stroke NCD in one-third of cases. Harmonization of stroke assessment and cognitive score thresholds is urgently needed to allow more accurate estimation of post-stroke NCD prevalence, especially mild post-stroke NCD.

Prevalence and factors associated with memory disturbance and dementia after acute ischemic stroke

Prevalence and risk factors associated with memory disturbance and dementia were determined in acute ischemic stroke (AIS) patients in hospitals before discharge, three and six months after stroke. A prospective cohort study was conducted during January-December 2017 with 401 AIS patients admitted to Srinagarind Hospital, Khon Kaen Hospital and Chum Phae Hospital, Khon Kaen, Thailand. The demographics and clinical characteristics, previous illness and past medical history, and laboratory test results of the patients were collected from the medical records, while depression screening, NIH stroke scale (NIHSS) scoring and mini mental state examination (MMSE) were performed using particular medical record forms. The prevalence of memory disturbance and dementia was 56.6, 41.6 and 38.2% before discharge, three and six months after stroke, respectively. Based on logistic regression analysis, age, education and stroke severity were the risk factors associated with the studied disorders before discharge and three months after stroke. Meanwhile, age and education were the risk factors for six months after stroke. Our findings suggested that the prevalence of memory disturbance and dementia remained high at all study periods.

Risk of dementia in patients with non-haemorrhagic stroke receiving acupuncture treatment: a nationwide matched cohort study from Taiwan's National Health Insurance Research Database

OBJECTIVE

To investigate the risk of dementia in patients with stroke who did and did not receive acupuncture treatment.

DESIGN

Retrospective cohort study.

SETTING

This study was based on Taiwan's National Health Insurance Research Database that included patients with stroke hospitalised between 1 January 2000 and 31 December 2004.

PARTICIPANTS

We identified 11 220 patients aged 50 years and older with newly diagnosed stroke hospitalisation.

PRIMARY AND SECONDARY OUTCOME MEASURES

We compared the incident dementia during the follow-up period until the end of 2009 in patients with stroke who did and did not receive acupuncture. The adjusted HRs and 95% CIs of dementia associated with acupuncture were calculated in multivariate Cox proportional hazard regressions.

RESULTS

Acupuncture treatment was associated with a decreased risk of dementia with multivariate adjustment (HR, 0.73; 95% CI 0.66 to 0.80), and the association was significant in both sexes and every age group, as well as in groups with ischaemic stroke, with fewer medical conditions and those hospitalised after stroke. Patients with stroke received acupuncture treatment, and conventional rehabilitation was associated with a significantly reduced risk of poststroke dementia (HR, 0.64; 95% CI 0.56 to 0.74).

CONCLUSIONS

This study raises the possibility that patients with non-haemorrhagic stroke who received acupuncture had a reduced risk of dementia. The results suggest the need for prospective sham-controlled and randomised trials to establish the efficacy of acupuncture in preventing dementia.

Telephone-based cognitive screening for stroke patients in China

BACKGROUND

Valid telephone assessment for cognitive impairment is lacking in stroke settings. We investigated the feasibility and validity of the 5-minute National Institute of Neurological Disorders and Stroke and Canadian Stroke Network (NINDS-CSN) protocol and six-item screener (SIS) in stroke patients by telephone administration.

METHODS

Patients were assessed with a comprehensive face-to-face neuropsychological assessment after three months of stroke onset, followed by the 5-minute NINDS-CSN protocol (30 points) and SIS (6 points) at least one month later. Administration time was recorded for the telephone tests. Validity of both tests was determined using the area under the receiver operating characteristics curve (AUC).

RESULTS

Eighty-nine patients (age, 62.9 ± 8.6 years; male, 65.2%) received a face-to-face assessment and 80 completed telephone tests. The time required to administer the 5-minute NINDS-CSN protocol was 4.3 ± 1.0 minutes, and SIS 57.3 ± 17.7 seconds. Validity of detecting cognitive impairment as assessed by AUC was 0.86 (95% CI, 0.78-0.94) for 5-minute NINDS-CSN protocol, and 0.74 (95% CI, 0.63-0.85) for SIS. Sensitivity and specificity were optimal with the cut-off values of 23.5/24 for the 5-minute NINDS-CSN protocol, and 4/5 for SIS.

CONCLUSIONS

Both the telephone-based 5-minute NINDS-CSN protocol and SIS were feasible and valid in screening cognitive impairment after stroke in China.

White Matter Lesions Are Associated With Hospital Admissions Because of Hip-Fractures and Trauma After Ischemic Stroke

Background and Purpose—

Cerebral white matter lesions (WMLs), a surrogate for cerebral small-vessel disease, have been shown to be associated with decreasing mobility, gait instability, and falls. The aim of this study was to investigate whether WMLs of the brain are associated with increased incidence of hospital admissions because of any trauma and hip-fractures in a cohort of patients with stroke.

Methods—

We included 383 consecutive patients aged 55 to 85 years with ischemic stroke admitted to the Helsinki University Central Hospital (The Stroke Aging Memory cohort) with a 12-year follow-up. National register data were reviewed for hip-fractures, other traumatic injuries, survival data, and causes of death. WMLs were rated using MRI and dichotomized as none to mild and moderate to severe. The data were analyzed using Kaplan–Meier plots (log-rank) and a complex Cox multivariable hazards models for multiple cases per subject to assess hazard ratios with their 95% confidence intervals.

Results—

During the 12-year follow-up, there were more hip-fractures (13.5% versus 6.5%; log-rank, P =0.01) and more hospital admissions because of traumatic injury (22.2% versus 16.7%; log-rank, P =0.04) in the moderate-to-severe than in the none-to-mild WMLs group. In the complex samples, Cox multivariable model adjusting for age, sex, National Institutes of Health Stroke Scale, infarct size, and poststroke dementia, moderate-to-severe WMLs were associated with increased incidences of hospital admissions because of hip-fractures (hazard ratio, 3.98; 95% confidence interval, 1.55–10.21) and traumatic injuries including hip-fractures (hazard ratio, 1.72; 95% confidence interval, 1.03–2.87).

Conclusions—

Patients with ischemic stroke and moderate-to-severe WMLs are at high risk, who experience serious traumatic injuries and especially hip-fractures requiring hospital treatment.

[Prediction in cerebrovascular diseases]

Prediction of the outcome of cerebrovascular diseases or of the effects and complications of various forms of treatment are essential components of all stroke treatment regimens. This review focuses on the prediction of the stroke risk in primary prevention, the prediction of the risk of secondary stroke following a transient ischemic attack (TIA), the estimation of the outcome following manifest stroke and the treatment effects, the prediction of secondary cerebrovascular events and the prediction of vascular cognitive impairment following stroke. All predictive activities in cerebrovascular disease are hindered by the translation of predictive results from studies and patient populations to the individual patient. Future efforts in genetic analyses may be able to overcome this barrier and to enable individual prediction in the area of so-called personalized medicine. In all the various fields of prediction in cerebrovascular diseases, three major variables are always important: age of the patient, severity and subtype of the stroke. Increasing age, more severe stroke symptoms and the cardioembolic stroke subtype predict a poor outcome regarding both survival and permanent disability. This finding is somewhat banal and will therefore never replace the well experienced clinician judging the chances of a patient and taking into account the personal situation of this patient, e.g. for initiation of a rehabilitation program. Besides the individualized prediction, in times of restricted economic resources and increasing tendency to clarify questions of medical treatment in court, it seems unavoidable to use prediction in economic and medicolegal interaction with clinical medicine. This tendency will be accompanied by difficult ethical problems which neurologists must be aware of. Improved prediction should not be used to allocate or restrict resources or to restrict medically indicated treatment.

Autophagy activation aggravates neuronal injury in the hippocampus of vascular dementia rats

It remains unclear whether autophagy affects hippocampal neuronal injury in vascular dementia. In the present study, we investigated the effects of autophagy blockade on hippocampal neuronal injury in a rat model of vascular dementia. In model rats, hippocampal CA1 neurons were severely damaged, and expression of the autophagy-related proteins beclin-1, cathepsin B and microtubule-associated protein 1 light chain 3 was elevated compared with that in sham-operated animals. These responses were suppressed in animals that received a single intraperitoneal injection of wortmannin, an autophagy inhibitor, prior to model establishment. The present results confirm that autophagy and autophagy-related proteins are involved in the pathological changes of vascular dementia, and that inhibition of autophagy has neuroprotective effects.

Post-stroke cognitive impairment: epidemiology, mechanisms and management

Post-stroke cognitive impairment occurs frequently in the patients with stroke. The prevalence of post-stroke cognitive impairment ranges from 20% to 80%, which varies for the difference between the countries, the races, and the diagnostic criteria. The risk of post-stroke cognitive impairment is related to both the demographic factors like age, education and occupation and vascular factors. The underlying mechanisms of post-stroke cognitive impairment are not known in detail. However, the neuroanatomical lesions caused by the stroke on strategic areas such as the hippocampus and the white matter lesions (WMLs), the cerebral microbleeds (CMBs) due to the small cerebrovascular diseases and the mixed AD with stroke, alone or in combination, contribute to the pathogenesis of post-stroke cognitive impairment. The treatment of post-stroke cognitive impairment may benefit not only from the anti-dementia drugs, but also the manage measures on cerebrovascular diseases. In this review, we will describe the epidemiological features and the mechanisms of post-stroke cognitive impairment, and discuss the promising management strategies for these patients.

Poststroke cognitive impairment and dementia: prevalence, diagnosis, and treatment

Three aspects of poststroke cognitive impairment and dementia are discussed in this review: prevalence; diagnosis; and treatment. The aim is to increase awareness of poststroke cognitive impairment in order to further stimulate strategies to recognize the condition and to prevent its progression. Approximately two-thirds of all middle-aged and elderly stroke patients develop cognitive impairment, and one in three develops dementia. The standard reference for diagnosis is a detailed neuropsychological examination. Short screening tests have been used for both clinical and research purposes, but their sensitivity is limited and there is no consensus as to which test is the most appropriate. The treatment of poststroke cognitive impairment and dementia is based on effective treatment of vascular risk factors, including lifestyle modification when needed.

Cognitive impairment and memory dysfunction after a stroke diagnosis: a post-stroke memory assessment

Cognitive impairment and memory dysfunction following stroke diagnosis are common symptoms that significantly affect the survivors' quality of life. Stroke patients have a high potential to develop dementia within the first year of stroke onset. Currently, efforts are being exerted to assess stroke effects on the brain, particularly in the early stages. Numerous neuropsychological assessments are being used to evaluate and differentiate cognitive impairment and dementia following stroke. This article focuses on the role of available neuropsychological assessments in detection of dementia and memory loss after stroke. This review starts with stroke types and risk factors associated with dementia development, followed by a brief description of stroke diagnosis criteria and the effects of stroke on the brain that lead to cognitive impairment and end with memory loss. This review aims to combine available neuropsychological assessments to develop a post-stroke memory assessment (PSMA) scheme based on the most recognized and available studies. The proposed PSMA is expected to assess different types of memory functionalities that are related to different parts of the brain according to stroke location. An optimal therapeutic program that would help stroke patients enjoy additional years with higher quality of life is presented.