Predictors of Cognitive Impairment After Stroke: A Prospective Stroke Cohort Study

Post-Stroke Cognitive Impairment: A Narrative Review of the Comprehensive Screening and Detecting Process

PURPOSE

To examine screening procedures and tools for post-stroke cognitive impairment (PSCI) to guide future practices and research.

METHOD

Searches in PubMed, CINAHL, PsycINFO, and Google Scholar included articles from 2013 to 2023 focusing on individuals with first ever ischemic stroke and confirming PSCI within 1 year. Thematic analysis was synthesized narratively.

RESULTS

Eight studies (two cross-sectional and six prospective cohorts) with 25,443 participants were reviewed. Screening for PSCI was typically performed within 3 to 6 months post-stroke. Montreal Cognitive Assessment and Mini-Mental State Examination were the most commonly used tools, but cutoff scores varied widely. Screening involved pre- and post-stroke cognitive screening and identifying risk factors.

CONCLUSION

Significant variability exists in PSCI assessment tools, cutoff, and timing. Further research is needed to standardize screening protocols, focusing on criteria, timing, accuracy, and feasibility. Early and repeated screening with risk management can improve PSCI prevention. [Journal of Gerontological Nursing, 51(3), 19-27.].

Development and Validation of a Clinical Model (SHACEA) for Post-stroke Cognitive Impairment Prognosis Occurred at Acute Phase and Last to 6 Months

Post-stroke cognitive impairment (PSCI) leads to poor long-term stroke outcomes, severely increasing social and economic burdens. It is helpful to identify and intervene in PSCI in the early stage. This study intends to develop a new clinical risk score for identifying stroke survivors at significant risk of PSCI from the acute phase to 6 months of onset and to validate the new score using both internal and external cohorts. Analysis aiming to evaluate prognostic factors of acute-phase cognitive impairment lasting 6 months was carried out using two independent datasets, with one for model development and the other for validation. All enrolled patients completed baseline demographic, clinical, and imaging data collection and cognitive function scale assessment. The follow-up period was 6 months after the stroke, and interviews and cognitive function assessments were completed. A multivariate logistic regression analysis was performed, and the most important predictors were finally screened for modeling a prediction model. Six months post-stroke, 39.19% maintained PSCI in the development dataset. The final nine-point SHACEA (Stenosis, Hyperintensity, Age, Chronic cortical infarcts, Education, Atrophy) had an AUROC of 0.87 (95% CI 0.69-0.92) and was overall predictive of PSCI (LR χ2 statistic of 89.34; p < 0.001). In the validation cohort, the SHACEA risk score was still relatively reliable in the validation cohort with an AUC of 0.74 (95% CI 0.71-0.80). The SHACEA risk score adequately identified acute stroke patients with cognitive impairment who are at an increased risk of developing PSCI after 6 months.

Expression and clinical significance of 25-hydroxyvitamin D, insulin-like growth factor 1, and beta-2 microglobulin in cognitive dysfunction after ischemic stroke in the elderly

We aimed to unveil the clinical significance of serum 25-hydroxyvitamin D (25-OH-VD), insulin-like growth factor 1 (IGF-1), and beta-2 microglobulin (β2-MG) levels in cognitive dysfunction after ischemic stroke (IS) in the elderly. A total of 160 geriatric IS patients admitted to our hospital were retrospectively collected. The patients' serum 25-OH-VD, IGF-1, and β2-MG levels were detected, and the correlation between the three levels and the patients' National Institutes of Health Stroke Scale (NIHSS) and Montreal Cognitive Assessment (MoCA) scores was tested by the Pearson test. The diagnostic values of 25-OH-VD, IGF-1, and β2-MG for cognitive dysfunction and risk factors inducing cognitive dysfunction in the elderly after IS were evaluated. NIHSS score was negatively correlated with serum 25-OH-VD and IGF-1 levels, and positively correlated with serum β2-MG levels; MoCA score exhibited an inverse correlation. Diabetes, years of education <12 years, age, and serum high-sensitive C-reactive protein, cystatin C, 25-OH-VD, IGF-1, and β2-MG levels were independent factors for the development of cognitive dysfunction after IS in the elderly. The detection of 25-OH-VD, IGF-1, and β2-MG may be important for assessing the occurrence of cognitive dysfunction and the severity of the disease in patients.

Development and validation of a novel model to predict post-stroke cognitive impairment within 6 months after acute ischemic stroke

Background

Cognitive decline following acute ischemic stroke (AIS), termed post-stroke cognitive impairment (PSCI), is a prevalent phenomenon that significantly elevates disability and mortality rates among affected patients. The objective of this investigation was to develop a robust clinical prediction model capable of forecasting PSCI within six months post-AIS and subsequently validate its effectiveness.

Methods

A cohort of 573 AIS patients was stratified into two groups: those with PSCI (260 cases) and those who remained cognitively normal (CN) (313 cases). These patients were further subdivided into three distinct cohorts: a development cohort comprising 193 AIS patients, an internal validation cohort with 193 AIS patients, and an external validation cohort encompassing 187 AIS patients. A thorough multifactor logistic regression analysis was conducted to identify independent predictors of PSCI, which were subsequently incorporated into the prediction model for comprehensive analysis and validation. The discriminatory power, calibration accuracy, and clinical net benefits of the prediction model were rigorously evaluated using the area under the receiver operating characteristic curve (AUC-ROC), calibration plots, and decision curve analyses, respectively.

Results

Utilizing a meticulously selected panel of variables, including smoking status, alcohol consumption, female gender, low educational attainment, NIHSS score at admission, stroke progression, diabetes mellitus, atrial fibrillation, stroke localization, HCY levels, and Lp-PLA2 levels, a clinical prediction model was formulated to predict the occurrence of PSCI within six months of AIS. The model demonstrated AUC-ROC values of 0.898 (95%CI, 0.853-0.942), 0.847 (95%CI, 0.794-0.901), and 0.849 (95%CI, 0.7946-0.9031) in the development, internal validation, and external validation cohorts, respectively. Further validation through calibration curve analyses, Hosmer-Lemeshow goodness-of-fit tests, and additional metrics confirmed the model's impressive predictive performance.

Conclusion

The proposed model exhibits strong discriminative ability for predicting PSCI and holds considerable promise for guiding clinical decision-making. However, ongoing optimization with multicenter data is necessary to bolster its robustness and broaden its applicability.

Predicting poststroke cognitive impairment after acute ischemic stroke based on admission characteristics

OBJECTIVE

This study aimed to develop a robust clinical prediction model for Poststroke cognitive impairment (PSCI) within 6 months following acute ischemic stroke (AIS) and subsequently validate its effectiveness.

METHODS

A total of 386 AIS patients were divided into the PSCI group (174 cases) and the cognitively normal (CN) group (212 cases) based on the occurrence of PSCI. These patients were further categorized into two cohorts: 270 AIS patients in the training set, 116 AIS patients in the validation set. Multifactor logistic regression analysis was performed to identify independent predictors, which were then included in the prediction model for further analysis and validation. The performance of the prediction model was evaluated using the area under the receiver operating characteristic curve (AUC-ROC), calibration plots analyses to assess discrimination, calibration ability, respectively.

RESULTS

Based on the selected variables (smoking, alcohol consumption, female gender, low education level, NIHSS score at admission, stroke progression, high systolic blood pressure, diabetes, atrial fibrillation, coronary heart disease, low-density lipoprotein cholesterol, β2-microglobulin, and Lp-PLA2), a clinical prediction model for the occurrence of PSCI within 6 months in AIS patients was constructed. The AUC-ROC of the model was 0.862, 0.806 in the training, validation sets, respectively. Calibration curve analyses and Hosmer-Lemeshow goodness-of-fit tests, along with other validation metrics, further demonstrated the model's good predictive performance.

CONCLUSION

The model exhibits high discriminative ability for PSCI and has substantial guiding value for clinical decision-making. However, further optimization of the model is required with multicenter data to enhance its robustness and applicability.

Factors Influencing Poststroke Cognitive Dysfunction: Cross-Sectional Analysis

BACKGROUND

Poststroke cognitive impairment (PSCI) is a common and debilitating complication that affects stroke survivors, impacting memory, attention, and executive function. Despite its prevalence, the factors contributing to PSCI remain unclear, with limited insights into how demographic and clinical variables influence cognitive outcomes.

OBJECTIVE

This study investigates the incidence of cognitive impairment in patients with stroke and examines key demographic and clinical factors, such as age, gender, and education level, which contribute to cognitive decline. The aim is to provide a deeper understanding of PSCI to inform early intervention strategies for improving patient outcomes.

METHODS

A cross-sectional study was conducted on 305 patients with ischemic stroke admitted to Zhongda Hospital, Southeast University, from January 2019 to September 2022. Cognitive function was assessed using the Mini-Mental State Examination (MMSE) within 72 hours of hospital admission. Demographic information, including age, gender, and education level, were collected. Statistical analyses were performed using chi-square tests, independent t tests, and multivariate regression to assess the relationship between cognitive function and key variables. Pearson correlation analysis explored associations among age, education, and MMSE scores.

RESULTS

Among the 305 patients with stroke, 16.7% (n=51) were diagnosed with cognitive impairment based on MMSE scores. The prevalence of cognitive impairment was slightly higher in males (17.6%, n=159) than females (15.8%, n=146), but this difference was not statistically significant. A strong negative correlation was found between MMSE scores and age (r=-0.32; P<.01), indicating that older patients had lower cognitive function. Education level showed a positive correlation with MMSE scores (r=0.41; P<.01), with patients with higher educational attainment demonstrating better cognitive outcomes. Cognitive function showed a marked decline in patients older than 60 years, particularly in domains such as memory, attention, and language skills.

CONCLUSIONS

This study confirms that age and education are significant factors in determining cognitive outcomes after stroke. The results align with existing literature showing that cognitive function declines with age, while higher educational attainment serves as a protective factor. The findings suggest that individuals with greater cognitive reserve, often linked to higher education, are better equipped to cope with the impact of brain injury. However, the study's reliance on MMSE may have limited its ability to detect domain-specific impairments. Future studies should consider using more sensitive cognitive tools, such as the Montreal Cognitive Assessment (MoCA), to provide a more comprehensive evaluation of PSCI. Cognitive impairment is prevalent among stroke survivors, with age and education level being key factors influencing outcomes. These findings underscore the importance of early detection and targeted interventions to mitigate cognitive decline. Further research with larger samples and more sensitive cognitive assessments is needed to fully understand PSCI and improve rehabilitation strategies for patients with stroke.

The benefits of ventriculoperitoneal shunting in normal pressure hydrocephalus patients-a follow-up of three years

OBJECTIVE

The ventriculoperitoneal shunt (VPS) is an established approach in treating normal pressure hydrocephalus (NPH). This study aims to examine the long-term effects of VPS regarding clinical and radiological outcomes, to explore interdependencies with comorbidities and medication, and to determine a suitable opening pressure of the programmable valve.

METHODS

127 patients with VPS were retrospectively evaluated. The Hakim triad along with Evans index (EI) and callosal angle (CA) were examined preoperatively and postoperatively at various time points up to over thirty-six months. Preexisting comorbidities and medication were considered. Adjustments to valve settings were documented along with symptom development and complications. Wilcoxon and paired-sample t-tests were used to analyze postoperative change. Chi-square, Eta-squared, and Pearson coefficients were used in correlation analyses.

RESULTS

Relief from individual symptoms was most prominent within the first 6 months (p < 0.01). EI and CA significantly decreased and increased, respectively (p < 0.05). Postoperative clinical and radiological improvement was largely maintained over the follow-up period. Diabetes mellitus and apoplexy correlated with surgical outcomes (p < 0.05). The median opening pressure as a function of overall symptom management was determined to be 120 mmH2O for women and 140 mmH2O for men.

CONCLUSION

VPS is effective in treating NPH with respect to both clinical and radiological outcomes, although these two components are independent of each other. Improvement is most pronounced in short-term and maintained in the long-term. Comorbidities have significant influence on the course of NPH. The valve setting does not forecast change in radiological findings; consequently, priority should be placed on the patient's clinical condition.

Effect of infarct location and volume on cognitive dysfunction in elderly patients with acute insular cerebral infarction

BACKGROUND

The aging of the population has become increasingly obvious in recent years, and the incidence of cerebral infarction has shown an increasing trend annually, with high death and disability rates.

AIM

To analyze the effects of infarct location and volume on cognitive dysfunction in elderly patients with acute insular cerebral infarction.

METHODS

Between January 2020 and December 2023, we treated 98 cases of elderly acute insula, patients with cerebral infarction in the cerebral infarction acute phase (3-4 weeks) and for the course of 6 months in Montreal Cognitive Assessment Scale (MoCA) for screening of cognition. Notably, 58 and 40 patients were placed in the cognitive impairment group and without-cognitive impairment group, respectively. In patients with cerebral infarction, magnetic resonance imaging was used to screen and clearly analyze the MoCA scores of two groups of patients with different infarctions, the relationship between the parts of the infarction volume, and analysis of acute insula cognitive disorder in elderly patients with cerebral infarction and the relationship between the two.

RESULTS

The number of patients with cognitive impairment in the basal ganglia and thalamus was significantly higher than that without cognitive impairment (P < 0.05). The total infarct volume in the cognitive impairment group was higher than that in the non-cognitive impairment group, and the difference was statistically significant (P < 0.05). The infarct volumes at different sites in the cognitive impairment group was higher than in the non-cognitive impairment group (P < 0.05). In the cognitive impairment group, the infarct volumes in the basal ganglia, thalamus, and mixed lesions were negatively correlated with the total MoCA score, with correlation coefficients of -0.67, -0.73, and -0.77, respectively.

CONCLUSION

In elderly patients with acute insular infarction, infarction in the basal ganglia, thalamus, and mixed lesions were more likely to lead to cognitive dysfunction than in other areas, and patients with large infarct volumes were more likely to develop cognitive dysfunction. The infarct volume in the basal ganglia, thalamus, and mixed lesions was significantly negatively correlated with the MoCA score.

Impact of early refined nursing program on prognosis of middle-aged and elderly patients with cognitive dysfunction combined with cerebral infarction

BACKGROUND

Cerebral infarction is a local or extensive necrosis of brain tissue. Subsequently, the corresponding neurological deficits appear. The incidence of cerebrovascular diseases in China is increasing gradually. After the onset of cerebrovascular disease, the most common sequelae include movement disorders, language disorders, and cognitive dysfunction.

AIM

To investigate the effect of early refined nursing program on the prognosis of middle-aged and elderly patients with cerebral infarction combined with cognitive dysfunction.

METHODS

A retrospective study was conducted to divide 60 patients with cerebral infarction and cognitive impairment into an experimental group (n = 32) and a control group (n = 28). The experimental group received early intensive care every day, and the control group received daily routine care. The scores of the Mini-Mental State Examination (MMSE) and the Trail Making Test (TMT), as well as the latency and amplitude of the event-related potential P300, were used as main indicators to evaluate changes in cognitive function, and changes in BDNF, TGF-β, and GDNF expression were used as secondary indicators.

RESULTS

Both groups experienced notable enhancements in MMSE scores, with the experimental group demonstrating higher scores than the control group (experimental: 28.75 ± 2.31; control: 25.84 ± 2.87). Moreover, reductions in TMT-A and TMT-B scores were observed in both groups (experimental: TMT-A 52.36 ± 6.18, TMT-B 98.47 ± 10.23; control: TMT-A 61.48 ± 7.92, TMT-B 112.63 ± 12.55), with the experimental group displaying lower scores. P300 Latency decreased (experimental: 270.63 ms ± 14.28 ms; control: 285.72 ms ± 16.45 ms), while amplitude increased (experimental: 7.82 μV ± 1.05 μV; control: 6.35 μV ± 0.98 μV) significantly in both groups, with superior outcomes in the experimental cohort. Additionally, the levels of the growth factors BDNF, TGF-β1, and GDNF surged (experimental: BDNF 48.37 ng/mL ± 5.62 ng/mL, TGF-β1 52.14 pg/mL ± 4.28 pg/mL, GDNF 34.76 ng/mL ± 3.89 ng/mL; control: BDNF 42.58 ng/mL ± 4.73 ng/mL, TGF-β1 46.23 pg/mL ± 3.94 pg/mL, GDNF 30.25 ng/mL ± 2.98 ng/mL) in both groups, with higher levels in the experimental group.

CONCLUSION

For middle-aged and elderly patients with cerebral infarction and cognitive dysfunction, early refined nursing can significantly improve their cognitive function and prognosis.

Effects of exercise dose based on the ACSM recommendations on patients with post-stroke cognitive impairment: a systematic review and meta-analyses

Purpose

This review aimed to assess the impact of different exercise dosages on cognitive function in individuals with post-stroke cognitive impairment (PSCI).

Methods

Four electronic databases-Embase, PubMed, Web of Science, and Cochrane Library-were systematically searched from inception to 01 January 2024, focusing on the impact of exercise therapy on cognitive function in individuals with PSCI. Only randomized controlled trials meeting the criteria were included. The exercise therapy dose and adherence were evaluated following the American College of Sports Medicine (ACSM) guidelines, categorized into a high compliance group with ACSM recommendations and a low or uncertain compliance group. A random-effects model compared the effect of ACSM compliance on cognitive function in individuals with PSCI, with the effect size represented by the standardized mean difference (SMD) and a 95% confidence interval (CI).

Results

In total, 18 studies meeting the criteria were included, with data from 1,742 participants. The findings suggested a beneficial effect of exercise on cognitive function in individuals with PSCI [SMD = 0.42, 95% CI (0.20, 0.65)]. Ten studies were categorized as the "high adherence group" and eight in the "low or uncertain adherence group" based on the ACSM recommendations. The subgroup analysis revealed that the SMD of the high compliance group was 0.46 (95% CI: 0.10, 0.82) (p = 0.01), while the SMD of the low or uncertain compliance group was 0.38 (95% CI: 0.07, 0.70) (p = 0.02).

Conclusion

Our study indicates the beneficial impact of exercise for patients with PSCI over no exercise. Furthermore, high adherence to the exercise dose recommended by ACSM guidelines demonstrated a more substantial improvement in cognitive function than low or uncertain adherence in patients with PSCI. Systematic Review Registration: https:// www.crd.york.ac.uk/prospero/#myprospero, identifier CRD42023487915.

EEG biomarkers analysis in different cognitive impairment after stroke: an exploration study

Stroke is a cerebrovascular illness that brings about the demise of brain tissue. It is the third most prevalent cause of mortality worldwide and a significant contributor to physical impairment. Generally, stroke is triggered by blood clots obstructing the brain's blood vessels, or when these vessels rupture. And, the cognitive impairment's evaluation and detection after stroke is crucial research issue and significant project. Thus, the objective of this work is to explore an potential neuroimage tool and find their EEG biomarkers to evaluate and detect four cognitive impairment levels after stroke. In this study, power density spectrum (PSD), functional connectivity map, and one-way ANOVA methods were proposed to analyze the EEG biomarker differences, and the number of patient participants were thirty-two human including eight healthy control, mild, moderate, severe cognitive impairment levels, respectively. Finally, healthy control has significant PSD differences compared to mid, moderate and server cognitive impairment groups. And, the theta and alpha bands of severe cognitive impairment groups have presented consistent superior PSD power at the right frontal cortex, and the theta and beta bands of mild, moderated cognitive impairment (MoCI) groups have shown significant similar superior PSD power tendency at the parietal cortex. The significant gamma PSD power difference has presented at the left-frontal cortex in the mild cognitive impairment (MCI) groups, and severe cognitive impairment (SeCI) group has shown the significant PSD power at the gamma band of parietal cortex. At the point of functional connectivity map, the SeCI group appears to have stronger functional connectivity compared to the other groups. In conclusion, EEG biomarkers can be applied to classify different cognitive impairment groups after stroke. These findings provide a new approach for early detection and diagnosis of cognitive impairment after stroke and also for the development of new treatment options.

Risk factors for post-cerebral infarction cognitive dysfunction in older adults: a retrospective study

OBJECTIVE

Our research aims to elucidate the significance of type 2 diabetes (T2D) and provides an insight into a novel risk model for post-cerebral infarction cognitive dysfunction (PCICD).

METHODS

Our study recruited inpatients hospitalized with cerebral infarction in Xijing hospital, who underwent cognitive assessment of Mini-Mental State Examination (MMSE) from January 2010 to December 2021. Cognitive status was dichotomized into normal cognition and cognitive impairment. Collected data referred to Demographic Features, Clinical Diseases, scale tests, fluid biomarkers involving inflammation, coagulation function, hepatorenal function, lipid and glycemic management.

RESULTS

In our pooled dataset from 924 eligible patients, we included 353 in the final analysis (age range 65-91; 30.31% female). Multivariate logistic regression analysis was performed to show that Rural Areas (OR = 1.976, 95%CI = 1.111-3.515, P = 0.020), T2D (OR = 2.125, 95%CI = 1.267-3.563, P = 0.004), Direct Bilirubin (OR = 0.388, 95%CI = 0.196-0.769, P = 0.007), Severity of Dependence in terms of Barthel Index (OR = 1.708, 95%CI = 1.193-2.445, P = 0.003) that were independently associated with PCICD, constituting a model with optimal predictive efficiency.

CONCLUSION

To the best of our knowledge, this study provides a practicable map of strategical predictors to robustly identify cognitive dysfunction at risk of post-cerebral infarction for clinicians in a broad sense. Of note, our findings support that the decline in serum direct bilirubin (DBil) concentration is linked to protecting cognitive function.

Long-Term Functional Outcome in Patients With Isolated Thalamic Stroke: The KOSCO Study

BACKGROUND

Information on the long-term prognosis in patients with isolated thalamic stroke is sparse. We report the functional outcomes of patients with thalamic stroke up to 24 months from the KOSCO (Korean Stroke Cohort for Functioning and Rehabilitation) study.

METHODS AND RESULTS

Isolated thalamic stroke was defined as the presence of lesions solely in the thalamus, excluding cases with lesions in other brain parenchyma areas apart from the thalamus, as identified by brain magnetic resonance imaging or computed tomography scans. The Fugl-Meyer Assessment, the Functional Ambulatory Category, the Korean Mini-Mental State Examination, the American Speech-Language-Hearing Association National Outcome Measurement System Swallowing Scale, and the short version of the Korean Frenchay Aphasia Screening Test were used to assess physical impairment. The Functional Independence Measure and modified Rankin Scale were used to assess functional outcomes. All measurements were conducted up to 24 months poststroke. A total of 297 patients were included, consisting of 235 with ischemic and 62 with hemorrhagic stroke. Except for the Functional Ambulatory Category and Functional Independence Measure, all physical impairments showed significant improvement up to 3 months poststroke (P<0.001) and reached a plateau. The Functional Ambulatory Category and Functional Independence Measure scores continued to improve up to 12 months poststroke (P<0.05) and reached a plateau. At 7 days poststroke, 47.5% of patients had no disability (modified Rankin Scale score<2), whereas at 24 months poststroke, 76.4% of patients had no significant disability.

CONCLUSIONS

Patients showed rapid recovery from physical impairment up to 3 months poststroke, with additional improvements in ambulatory function and independence observed up to 12 months poststroke. Additionally, relatively favorable long-term functional prognosis at 24 months after onset was demonstrated. These results could provide insights into the proper management regarding functional outcomes of patients with isolated thalamic stroke.

Complement Proteins in Serum Astrocyte-Derived Exosomes Are Associated with Poststroke Cognitive Impairment in Type 2 Diabetes Mellitus Patients

Background

The complement system plays crucial roles in cognitive impairment and acute ischemic stroke (AIS). High levels of complement proteins in plasma astrocyte-derived exosomes (ADEs) were proven to be associated with Alzheimer's disease. We aimed to investigate the relationship of complement proteins in serum ADEs with poststroke cognitive impairment in type 2 diabetes mellitus (T2DM) patients.

Methods

This study analyzed 197 T2DM patients who suffered AIS. The Beijing version of the Montreal Cognitive Assessment (MoCA) was used to assess cognitive function. Complement proteins in serum ADEs were quantified using ELISA kits.

Results

Mediation analyses showed that C5b-9 and C3b in serum ADEs partially mediate the impact of obstructive sleep apnea (OSA), depression, small vessel disease (SVD), and infarct volume on cognitive function at the acute phase of AIS in T2DM patients. After adjusting for age, sex, time, and interaction between time and complement proteins in serum ADEs, the mixed linear regression showed that C3b and complement protein Factor B in serum ADEs were associated with MoCA scores at three-, six-, and twelve-months after AIS in T2DM patients.

Conclusions

Our study suggested that the impact of OSA, depression, SVD, and infarct volume on cognitive impairment in the acute stage of AIS may partially mediate through the complement proteins in serum ADEs. Additionally, the complement proteins in serum ADEs at the acute phase of AIS associated with MoCA scores at three-, six-, twelve months after AIS in T2DM patients.REGISTRATION: URL: http://www.chictr.org.cn/,ChiCTR1900021544.

High triglyceride-glucose index at admission is a predictor of post-stroke cognitive impairment in patients with acute ischemic stroke

BACKGROUND

Post-stroke cognitive impairment (PSCI) is a very common complication of ischemic stroke (IS). Triglyceride-glucose (TyG) index was an effective alternative marker of insulin resistance (IR). This prospective study was designed to explore the correlation between TyG index and PSCI.

METHODS

Between January 1 2021 to June 30 2022, consecutive patients with first onset IS were enrolled prospectively. Baseline information was collected at admission and fasting blood was drawn the next morning. Montreal Cognitive Assessment (MoCA) was used to evaluate cognitive function at three months after stroke. Multiple regression analysis was used to explore the correlation between PSCI and TyG. Receiver operating characteristic (ROC) was performed to evaluate the predictive ability.

RESULTS

Ultimately, 313 patients were enrolled in this study. The TyG index was higher in patients with PSCI than those without PSCI (8.99 (8.55, 9.54) vs. 8.61(8.25, 8.87), P<0.001). The spearman correlation analysis indicated that TyG index was negatively correlated with MoCA score (r=-0.272, P<0.001). The multivariate logistic regression analysis demonstrated that TyG index was correlated with PSCI independently (P<0.001) regardless of whether the patients had diabetes or not. The area under curve (AUC) of the ROC was 0.684 (95%CI=0.635-0.768, P<0.001). The optimal cutoff value of TyG index for predicting PSCI was 8.81, with a sensitivity of 61.7% and a specificity of 73.6%.

CONCLUSION

A higher TyG index level at admission was independently correlated with increased risk of PSCI three months later and could be used as a predictor.

Predictors of Cognitive Functions After Stroke Assessed Using the Wechsler Adult Intelligence Scale: A Retrospective Study

Background

The mechanism(s) of cognitive impairment remains complex, making it difficult to confirm the factors influencing poststroke cognitive impairment (PSCI).

Objective

This study quantitatively investigated the degree of influence and interactions of clinical indicators of PSCI.

Methods

Information from 270 patients with PSCI and their Wechsler Adult Intelligence Scale (WAIS-RC) scores, totaling 18 indicators, were retrospectively collected. Correlations between the indicators and WAIS scores were calculated. Multiple linear regression model(MLR), genetic algorithm modified Back-Propagation neural network(GA-BP), logistic regression model (LR), XGBoost model (XGB), and structural equation model were used to analyze the degree of influence of factors on the WAIS and their mediating effects.

Results

Seven indicators were significantly correlated with the WAIS scores: education, lesion side, aphasia, frontal lobe, temporal lobe, diffuse lesions, and disease course. The MLR showed significant effect of education, lesion side, aphasia, diffuse lesions, and frontal lobe on the WAIS. The GA-BP included five factors: education, aphasia, frontal lobe, temporal lobe, and diffuse lesions. LR predicted that the lesion side contributed more to mild cognitive impairment, while education, lesion side, aphasia, and course of the disease contributed more to severe cognitive impairment. XGB showed that education, side of the lesion, aphasia, and diffuse lesions contributed the most to PSCI. Aphasia plays a significant mediating role in patients with severe PSCI.

Conclusions

Education, lesion side, aphasia, frontal lobe, and diffuse lesions significantly affected PSCI. Aphasia is a mediating variable between clinical information and the WAIS in patients with severe PSCI.

Prediction of Discharge Destination After Inpatient Rehabilitation for Stroke Using Mobility and Self-Care Assessment in Section GG of the Inpatient Rehabilitation Facility - Patient Assessment Instrument

Objective

To determine the ability of Section GG of the Inpatient Rehabilitation Facility - Patient Assessment Inventory (Section GG)'s quantification of mobility and self-care to predict discharge destination for persons with stroke after inpatient rehabilitation.

Design

Retrospective, observational cohort study.

Setting

150-bed inpatient rehabilitation facility within a metropolitan health system.

Participants

Consecutive sample of adults and older adults with stroke admitted for inpatient rehabilitation from January 2020 to June 2021 (N=1051). Subjects were excluded for discharge to acute care or hospice or if they had COVID-19.

Intervention

None.

Main Outcome Measures

Section GG self-care and mobility scores used in reimbursement formulation by Centers for Medicare and Medicaid at admission to inpatient rehabilitation; age; sex; prior living situation; discharge setting. Logistic regression examined binary comparisons of discharge destinations. Receiver operating characteristic (ROC) curves determined cut-off admission Section GG scores for binary comparisons.

Results

Logistic regression demonstrated that presence of a caregiver in the home was consistently the strongest predictor (P<.001) and admission Section GG scores were significant secondary factors in determining the discharge destination. An admission Section GG cut-off score of 33.5 determined home with homecare vs skilled nursing facility and a cut-off of 36.5 determined discharge to home with outpatient care vs skilled nursing facility.

Conclusion

Clinicians responsible for discharge decisions for patients with stroke after inpatient rehabilitation might start by determining the presence of a caregiver in the home and then use Section GG cut-off scores to guide decisions about home (with or without homecare) vs SNF destinations. Such guidance is not advised for the home with outpatient services vs home with homecare decision; clinical judgment is needed to determine the best discharge plan because this ROC had a less robust area under the curve. Sex and race/ethnicity were not determining factors for binary choices of discharge destinations.

[Stroke-Related Cognitive Dysfunction]

Eine kognitive Dysfunktion nach Schlaganfall besteht häufig und korreliert mit der Lokalisation und dem Ausmaß des Schlaganfalls sowie mit dem Zeitpunkt der Erhebung, die anhand standardisierter und etablierter Testverfahren erfolgen sollte. Eine kognitive Dysfunktion nach Schlaganfall ist im Kontext einer so genannten post-stroke dementia für das funktionelle Outcome relevant. Zudem ist das Bestehen einer kognitiven Dysfunktion mit einer erhöhten Wahrscheinlichkeit für ein Schlaganfallrezidiv assoziiert. Kognitive Defizite als mögliche Folge eines Schlaganfalls sollte daher auch abseits von Komplex- und Rehabilitationsbehandlungen Beachtung finden, zumal in Deutschland bis dato kein ambulantes Nachsorgekonzept nach stattgehabtem Schlaganfall etabliert wurde. Nicht nur zerebrovaskuläre Ereignisse selbst, sondern auch das Bestehen vaskulärer Risikofaktoren wie Herzinsuffizienz, Vorhofflimmern, Hypercholesterinämie und Niereninsuffizienz können zur Entwicklung einer kognitiven Funktionsstörung beitragen und eine kognitive Dysfunktion nach Schlaganfall verstärken. Die bestmögliche Therapie bekannter vaskulärer Risikofaktoren und eine gesunde Lebensweise sind im Kontext bis dato fehlender spezifischer medikamentöser Therapien einer kognitiven Dysfunktion nach Schlaganfall angezeigt. Eine gezielte Rehabilitation kann zur Erhaltung und Verbesserung kognitiver Funktionen bei kognitiver Dysfunktion nach Schlaganfall beitragen. Prospektive (randomisierte) Schlaganfallstudien sollten eine standardisierte Erfassung kognitiver Endpunkte einschließen und bestenfalls auf die Entwicklung präventiver Therapiestrategien für die kognitive Dysfunktion abzielen.

A Hierarchical Multi-Dimensional Cognitive Training Program for Preventive Cognitive Decline in Acute Ischemic Stroke Patients: Study Protocol for a Randomized Controlled Trial

Background

One of the most popular ways to address cognitive decline is cognitive training. The fact that cognitive deterioration is permanent is one of the main issues. This issue might be resolved by preventive cognitive training when it is acute. As a result, this study aims to design and assess how well stroke patients respond to hierarchical, multi-dimensional preventative cognitive training.

Objective

To describe the study design of this center implementation trial.

Methods

Participants in the study will be recruited from a hospital in China and randomly assigned to the intervention group or the usual care group. Interventions will include four-week hierarchical multi-dimensional preventive cognitive training through a WeChat program. for Primary outcome measures will be the Montreal Cognitive Assessment, Mini-Mental State Examination, and Post-Stroke Cognitive Impairment (PSCI) Incidence. The secondary outcome measure will include the Hamilton Depression Scale, Hamilton Anxiety Scale, Modified Barthel Index, and National Institutes of Health Neurological Deficit Score. Outcomes will be measured at baseline, 12 weeks, and 24 weeks from the baseline.

Results

We expect that the hierarchical multi-dimensional preventive cognitive training program will be easy to implement, and the cognitive function, cognitive psychology, ability of daily living will vary in each setting.

Conclusions

The results will provide evidence highlighting differences in a new strategy of cognitive training through the WeChat program, which allows the home-based practice, puts forward an advanced idea of preventive cognitive training in the acute stage, and has the highest effectiveness of reducing cognitive impairment, and Alzheimer's disease.

Predicting post-stroke cognitive impairment using machine learning: A prospective cohort study

BACKGROUND

Post-stroke cognitive impairment (PSCI) is a serious complication of stroke that warrants prompt detection and management. Consequently, the development of a diagnostic prediction model holds clinical significance.

OBJECTIVE

Machine learning algorithms were employed to identify crucial variables and forecast PSCI occurrence within 3-6 months following acute ischemic stroke (AIS).

METHODS

A prospective study was conducted on a developed cohort (331 patients) utilizing data from the Affiliated Zhongda Hospital of Southeast University between January 2022 and August 2022, as well as an external validation cohort (66 patients) from December 2022 to January 2023. The optimal model was determined by integrating nine machine learning classification models, and personalized risk assessment was facilitated by a Shapley Additive exPlanations (SHAP) interpretation.

RESULTS

Age, education, baseline National Institutes of Health Scale (NIHSS), Cerebral white matter degeneration (CWMD), Homocysteine (Hcy), and C-reactive protein (CRP) were identified as predictors of PSCI occurrence. Gaussian Naïve Bayes (GNB) model was determined to be the optimal model, surpassing other classifier models in the validation set (area under the curve [AUC]: 0.925, 95 % confidence interval [CI]: 0.861 - 0.988) and achieving the lowest Brier score. The GNB model performed well in the test sets (AUC: 0.919, accuracy: 0.864, sensitivity: 0.818, and specificity: 0.932).

CONCLUSIONS

The present study involved the development of a GNB model and its elucidation through employment of the SHAP method. These findings provide compelling evidence for preventing PSCI, which could serve as a guide for high-risk patients to undertake appropriate preventive measures.

Independent effect of Aβ burden on cognitive impairment in patients with small subcortical infarction

BACKGROUND

The effect of amyloid-β (Aβ) on cognitive impairment in patients with small subcortical infarction remains controversial, although a growing body of evidence shows a substantial overlap between Alzheimer's disease (AD) and subcortical ischemic vascular dementia, another form of cerebral small vessel disease (cSVD). Therefore, we investigated the relationships between Aβ positivity and the development of post-stroke cognitive impairment (PSCI) in patients with small subcortical infarction.

METHODS

We prospectively recruited 37 patients aged ≥ 50 years, with first-ever small subcortical infarction, who underwent amyloid positron emission tomography, 3 months after stroke at Korea University Guro Hospital. We also enrolled CU participants matched for age and sex with stroke patients for comparison of Aβ positivity. Patients were followed up at 3 and 12 months after the stroke to assess cognitive decline. Logistic and linear mixed-effect regression analyses were performed to identify the effect of Aβ positivity on PSCI development and long-term cognitive trajectories.

RESULTS

At 3 months after stroke, 12/37 (32.4%) patients developed PSCI, and 11/37 (29.7%) patients had Aβ deposition. Aβ positivity (odds ratio [OR] = 72.2, p = 0.024) was predictive of PSCI development regardless of cSVD burden. Aβ positivity (β = 0.846, p = 0.014) was also associated with poor cognitive trajectory, assessed by the Clinical Dementia Rating-Sum of Box, for 1 year after stroke.

CONCLUSIONS

Our findings highlight that Aβ positivity is an important predictor for PSCI development and cognitive decline over 1 year. Furthermore, our results provide evidence that anti-AD medications may be a strategy for preventing cognitive decline in patients with small subcortical infarctions.

The efficacy of acupuncture combined with other therapies in post stroke cognitive impairment: A network meta-analysis

BACKGROUND

The network meta-analysis was used to evaluate the efficacy of acupuncture combined with other therapies in the treatment of post stroke cognitive impairment (PSCI).

METHODS

The China National Knowledge Infrastructure, Wanfang DATA, Vip Chinese Periodic Service Platform, PUBMED, Cochrane Library, Web of Science, and Embase were searched for randomized controlled trials (RCTs) published before March 18, 2023. Two researchers independently reviewed articles and extracted data, and then qualified papers were included in the study. STATA 14.0 was used for network meta-analysis.

RESULTS

A total of 29 articles including 2241 patients were included in this study. The treatment of the intervention group includes acupuncture combined with traditional Chinese medicine prescriptions (TCMP), acupuncture combined with hyperbaric oxygen (HBO), acupuncture combined with repetitive transcranial magnetic stimulation (rTMS), acupuncture combined with cognitive rehabilitation (CR), acupuncture combined with donepezil. The intervention of the control group includes acupuncture, HBO, rTMS, CR, TCMP, and donepezil. In terms of improving the score of Minimum Mental State Examination (MMSE), acupuncture combined with TCMP was most likely to be the best treatment (P < .05). In terms of improving the score of Montreal Cognitive Assessment (MoCA), acupuncture combined with TCMP was most likely to be the best treatment (P < .05). In terms of improving the total effective rate of clinical treatment, acupuncture combined with rTMS was most likely to be the best treatment (P < .05).

CONCLUSION

Acupuncture combined with TCMP may be the best treatment method among all of the above treatments for PSCI.

The correlation between the severity of cerebral microbleeds and serum HMGB1 levels and cognitive impairment in patients with cerebral small vessel disease

Objective

The study investigated the correlation and predictive value between the severity of cerebral microbleeds (CMBs) and the level of serum High Mobility Group Protein B1 (HMGB1) and the occurrence of cognitive impairment in patients with cerebral small vessel disease (CSVD).

Methods

A total of 139 patients with CSVD admitted to the Department of Neurology of the First Affiliated Hospital of Xinxiang Medical University from December 2020 to December 2022 were selected as study subjects. The Montreal Cognitive Assessment (MoCA) scale was used to assess the cognitive function and was divided into the cognitive impairment group and the cognitive normal group. Magnetic Resonance Imaging (MRI) and Susceptibility Weighted Imaging (SWI) were used to screen and assess the severity of CMBs. Serum HMGB1 levels of CSVD patients were measured by enzyme linked immunosorbent assay (ELISA). Multivariable logistic regression analysis was used to explore risk factors for cognitive impairment and CMBs. Pearson correlation analysis was used to investigate the correlation between HMGB1 and cognitive function. Receiver Operating Characteristics (ROC) curves were used to assess the predictive value of HMGB1 for the occurrence of cognitive impairment in patients with CMBs.

Results

High Mobility Group Protein B1, uric acid (UA), glycosylated hemoglobin (HbA1c), CMBs, lacunar cerebral infarction (LI), years of education, and history of hypertension were risk factors for cognitive impairment (P < 0.05); HMGB1 was significantly and negatively associated with total MoCA score, visuospatial/executive ability, and delayed recall ability (P < 0.05). HMGB1 was significantly and positively correlated with the number of CMBs (P < 0.05). The area under the ROC curve for HMGB1 predicting cognitive impairment in patients with CMBs was 0.807 (P < 0.001).

Conclusion

Serum HMGB1 levels are associated with the development of cognitive impairment in CSVD patients, and serum HMGB1 levels have a high predictive value for the development of cognitive impairment in CSVD patients with combined CMBs, which can be used for early clinical identification and intervention of vascular cognitive impairment.

Development of a predictive risk stratification tool to identify the population over age 45 at risk for new-onset stroke within 7 years

Background and purpose

With the acceleration of the aging process of society, stroke has become a major health problem in the middle-aged and elderly population. A number of new stroke risk factors have been recently found. It is necessary to develop a predictive risk stratification tool using multidimensional risk factors to identify people at high risk for stroke.

Methods

The study included 5,844 people (age ≥ 45 years) who participated in the China Health and Retirement Longitudinal Study in 2011 and its follow-up up to 2018. The population samples were divided into training set and validation set according to 1:1. A LASSO Cox screening was performed to identify the predictors of new-onset stroke. A nomogram was developed, and the population was stratified according to the score calculated through the X-tile program. Internal and external verifications of the nomogram were performed by ROC and calibration curves, and the Kaplan-Meier method was applied to identify the performance of the risk stratification system.

Results

The LASSO Cox regression screened out 13 candidate predictors from 50 risk factors. Finally, nine predictors, including low physical performance and the triglyceride-glucose index, were included in the nomogram. The nomogram's overall performance was good in both internal and external validations (AUCs at 3-, 5-, and 7-year periods were 0.71, 0.71, and 0.71 in the training set and 0.67, 0.65, and 0.66 in the validation set, respectively). The nomogram was proven to excellently discriminate between the low-, moderate-, and high-risk groups, with a prevalence of 7-year new-onset stroke of 3.36, 8.32, and 20.13%, respectively (P < 0.001).

Conclusion

This research developed a clinical predictive risk stratification tool that can effectively identify the different risks of new-onset stroke in 7 years in the middle-aged and elderly Chinese population.

Early post-stroke cognitive impairment and in-hospital predicting factors among stroke survivors in Ethiopia

Background

In low-and middle-income countries, post-stroke cognitive impairment (PSCI) is the least investigated stroke complication that clinically is given little attention. Finding patients who are at high risk of having cognitive problems after a stroke could allow targeted follow-up and help with prognosis discussions, which would then contribute to improved treatment outcomes. The main aim of this study was to determine the incidence and predictors of PSCI among stroke survivors in Northwest Ethiopia.

Methods

The study was a multicenter prospective cohort study. The study participants were 403 stroke survivors who were alive on follow-up after 3 months of stroke onset at the neurology department of three hospitals in Northwest Ethiopia. To investigate the link between the outcome and the explanatory variables, analyses of bivariable and logistic multivariable regression were performed. A value of p of 0.05 or less was regarded as statistically significant, and data were presented as odds ratios and 95% confidence intervals.

Results

The mean age of the participants was 61.3 years (SD = 0.7), 56% were females, the mean time from symptom onset to hospital arrival was 46 h (SD = 3.32), and the mean National Institute of Health Stroke Scale (NIHSS) score at admission was 14.79 (SD = 0.25). PSCI was observed in 122 patients (30.3%) after 90 days of stroke onset, that is, 83 (20.6%) of female and 39 (9.7%) of male stroke survivors. The result of multivariable logistic regression analysis revealed PSCI was independently associated with age (adjusted OR = 1.04, 95% CI = 1.061-1.981), women (AOR = 1.390, 95% CI = 1.221-2.690), admission modified Rankin scale (mRS) (AOR = 1.629, 95% CI = 1.381-2.037), moderate Glasgow coma scale (GCS) score (AOR = 1.149, 95% CI = 1.402-3.281), and poor GCS score (AOR = 1.632, 95% CI = 1.610-4.361) and stage one (AOR = 1.428, 95% CI = 1.198-2.922) and stage two hypertension (AOR = 1.255, 95% CI = 1.107-2.609).

Conclusion

Nearly one-third of stroke survivors developed PSCI. Moreover, further research is needed with a larger sample size, showing a time trend and longer follow-up duration.

Changes in gene expression and neuroinflammation in the hippocampus of rats with poststroke cognitive impairment

Poststroke cognitive impairment (PSCI) often occurs during the stroke recovery period and greatly increases the difficulty of rehabilitation. Activation of neuroinflammation and long-term changes in gene expression patterns in the hippocampus could be essential in the development of PSCI. Therefore, this study aimed to identify neuroinflammation and changes in gene expression patterns in the hippocampus in rats with PSCI. Rats underwent transient middle cerebral artery occlusion (tMCAO) or sham surgery. The infarct volume was measured on day 3 after surgery. The Morris water maze (MWM) test was used to assess cognitive function. Microglial activation and white matter (WM) lesions in the hippocampus were evaluated on day 28 after surgery. In addition, we compared differentially expressed genes (DEGs) in the hippocampus between tMCAO group rats and sham group rats by RNA sequencing. Then, Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and protein-protein interaction (PPI) network analyses were conducted to investigate these DEGs. The results showed that the tMCAO group rats showed extensive infarction and cognitive dysfunction compared with the sham group rats. Microglial activation and WM damage were obvious in the hippocampus of tMCAO group rats. We found 43 DEGs by RNA sequencing: 29 genes with upregulated expression and 14 genes with downregulated expression. The GO analysis indicated that DEGs were mainly involved in cell proliferation and differentiation, cholesterol synthesis, and metabolism. The KEGG pathway analysis suggested that the DEGs were significantly enriched in intestinal immune network for IgA production and steroid biosynthesis. Acta2, Calb2, and Cxcl12 were notable in the PPI analysis. Our results suggest that microglial activation and WM damage are maintained in rats with PSCI. The mechanism may be related to the regulation of steroid biosynthesis, intestinal immunity, and potential key genes such as Acta2, Calb2, and Cxcl12 in the hippocampus.

Incidence of post-stroke cognitive impairment in patients with first-ever ischemic stroke: a multicenter cross-sectional study in China

Background

Post-stroke cognitive impairment (PSCI) is a common sequela after stroke. China has a large population of stroke survivors, but a large-scale survey on the incidence and risk factors for PSCI has not been undertaken. We aimed to calculate the incidence and risk factors for vascular cognitive symptoms among first-ever stroke survivors in China through a multicenter cross-sectional study.

Methods

From May 1, 2019 to November 30, 2019, patients with a clinical diagnosis of first-ever ischemic stroke were recruited from 563 hospitalized-based stroke center networks in 30 provinces of China. Cognitive impairment was measured by 5-min National Institute of Neurological Disease and Stroke-Canadian Stroke Network (NINDS-CSN) at 3-6 months after the indexed stroke. Stepwise multivariate regression and stratified analysis were performed to assess the association between PSCI and demographic variables.

Findings

A total of 24,055 first-ever ischemic stroke patients were enrolled, with an average age of 70.25 ± 9.88 years. The incidence of PSCI as per the 5-min NINDS-CSN was 78.7%. Age ≥75 years old (OR: 1.887, 95%CI: 1.391-2.559), western regional residence (OR: 1.620, 95%CI: 1.411-1.860) and lower education level were associated with increased PSCI risk. Hypertension might be related to non-PSCI (OR: 0.832, 95%CI: 0.779-0.888). For patients under 45 years old, unemployment was an independent risk factor for PSCI (OR: 6.097, 95%CI: 1.385-26.830). For patients who were residents of the southern region (OR: 1.490, 95%CI: 1.185-1.873) and non-manual workers (OR: 2.122, 95%CI: 1.188-3.792), diabetes was related to PSCI.

Interpretation

PSCI is common in Chinese patients with first-ever stroke, and many risk factors are related to the occurrence of PSCI.

Funding

The Beijing Hospitals Authority Youth Program (No. QMS20200801); Youth Program of the National Natural Science Foundation of China (No. 81801142); the Key Project of Science and Technology Development of China Railway Corporation (No. K2019Z005); The Capital Health Research and Development of Special (No. 2020-2-2014); Science and Technology Innovation 2030-Major Project (No. 2021ZD0201806).

Early cognitive dysfunction after stroke and related risk factors in the high-altitude and multi-ethnic region of Qinghai, China: A multi-center cross-sectional study

OBJECTIVE

Cognitive impairment is a common outcome of stroke, but there is limited evidence regarding its prevalence at high altitude, especially within the context of specific ethnic groups or lifestyle habits. This prospective exploratory study investigated early cognitive impairment after stroke in Qinghai Province, 3000 m above sea level.

METHODS

Patients with acute stroke (n = 1047) were enrolled from 3 hospitals in Qinghai Province. Cognitive performance was measured by Montreal Cognitive Assessment (MoCA) scores within 5 days of stroke symptom onset; MoCA < 26 defined impairment. Patient data included demographics, education, vascular risk factors, diet, and activities of daily living rated by Barthel index.

RESULTS

Cognitive impairment within 5 days of stroke symptom onset affected 77.65% of these patients. The factors independently associated with early cognitive impairment were: older age (mean difference [MD]: -4.857, 95% confidence interval [CI]: 6.685-3.030, P < 0.001); female gender (odds ratio [OR]: 1.674, 95% CI: 1.212-2.313, P = 0.002); and a diet containing yak butter (OR: 1.587, 95% CI: 1.247-2.021, P < 0.001). Progressively lesser odds were accounted to beef (Yak) and mutton consumption (OR: 0.804, 95% CI: 0.655-0.987, P = 0.037); fruit (OR: 0.792, 95% CI: 0.672-0.933, P = 0.005); status as an immigrant (OR: 0.666, 95% CI: 0.445-0.996, P = 0.048); education (OR: 0.514, 95% CI: 0.400-0.660, P < 0.001); and multiple daily leisure activities (OR: 0.999, 95% CI: 0.999-0.999, P < 0.001).

CONCLUSION

Persons in Qinghai province who experience stroke are likely to show signs of early cognitive dysfunction. Preventive modifiable features include diet and daily activities.

A Cross-Sectional Study: Determining Factors of Functional Independence and Quality of Life of Patients One Month after Having Suffered a Stroke

(1) Background: loss of quality of life (QoL) and functional independence are two of the most common consequences of suffering a stroke. The main objective of this research is to study which factors are the greatest determinants of functional capacity and QoL a month after suffering a stroke so that they can be considered in early interventions. (2) Methods: a cross-sectional study was conducted which sample consisted of 81 people who had previously suffered a stroke. The study population was recruited at the time of discharge from the Neurology Service and Stroke Unit of the hospitals of Burgos and Córdoba, Spain, through a consecutive sampling. Data were collected one month after participants experienced a stroke, and the main study variables were quality of life, measured with the Stroke-Specific Quality of Life Measure (NEWSQOL), and functional independence, measured with the Functional Independence Measure-Functional Assessment Measure (FIM-FAM). (3) Results: the factors associated with a worse QoL and functional capacity one month after having suffered a stroke were living in a different dwelling than the usual flat or house (p < 0.05), a worse cognitive capacity (p < 0.001) and a worse functional capacity of the affected upper limb (p < 0.001). A higher age was related to a worse functional capacity one month after suffering a stroke (p = 0.048). (4) Conclusions: the type of dwelling, age, cognitive ability and functional capacity of the affected upper limb are determining aspects in functional independence and QoL during the first weeks after a stroke.

Role of cognitive reserve in ischemic stroke prognosis: A systematic review

Objective

This systematic review was performed to identify the role of cognitive reserve (CR) proxies in the functional outcome and mortality prognostication of patients after acute ischemic stroke.

Methods

PubMed, Embase, Web of Science, and Cochrane Library were comprehensively searched by two independent reviewers from their inception to 31 August 2022, with no restrictions on language. The reference lists of reviews or included articles were also searched. Cohort studies with a follow-up period of ≥3 months identifying the association between CR indicators and the post-stroke functional outcome and mortality were included. The outcome records for patients with hemorrhage and ischemic stroke not reported separately were excluded. The Quality In Prognosis Studies (QUIPS) tool was used to assess the quality of included studies.

Results

Our search yielded 28 studies (n = 1,14,212) between 2004 and 2022, of which 14 were prospective cohort studies and 14 were retrospective cohort studies. The follow-up period ranged from 3 months to 36 years, and the mean or median age varied from 39.6 to 77.2 years. Of the 28 studies, 15 studies used the functional outcome as their primary outcome interest, and 11 of the 28 studies included the end-point interest of mortality after ischemic stroke. In addition, two of the 28 studies focused on the interest of functional outcomes and mortality. Among the included studies, CR proxies were measured by education, income, occupation, premorbid intelligence quotient, bilingualism, and socioeconomic status, respectively. The quality of the review studies was affected by low to high risk of bias.

Conclusion

Based on the current literature, patients with ischemic stroke with higher CR proxies may have a lower risk of adverse outcomes. Further prospective studies involving a combination of CR proxies and residuals of fMRI measurements are warranted to determine the contribution of CR to the adverse outcome of ischemic stroke.

Systematic review registration

PROSPERO, identifier CRD42022332810, https://www.crd.york.ac.uk/PROSPERO/.

The HALP (hemoglobin, albumin, lymphocyte, and platelet) score is associated with early-onset post-stroke cognitive impairment

BACKGROUND

The HALP score (hemoglobin, albumin, lymphocyte, and platelet) is a novel indicator that measures systemic inflammation and nutritional status. The goal of this study was to look into the relationship between the HALP score and post-stroke cognitive impairment (PSCI) in people who had an acute ischemic stroke (AIS).

METHODS

A total of 592 individuals with ischemic stroke were included in the research, and the PSCI (n = 382) and non-PSCI (n = 210) groups were determined using the Mini-Mental State Examination scale 2 weeks following the stroke. HALP score was computed by the formula: hemoglobin (g/L) × albumin (g/L) × lymphocytes (/L) / platelets (/L), and was split into three layers according to the tertiles. The connection between the HALP and cognitive results was investigated by binary logistic regression.

RESULTS

The PSCI group's HALP score was much lower than the non-PSCI group's (p < 0.001). The HALP score was divided into three layers: T1 ≤ 34.0, T2 34.1-49.4, and T3 ≥ 49.5, respectively. In the binary regression analysis, taking the T3 layer as the reference, the T1 layer showed the highest risk of PSCI after adjusting for confounding factors (odds ratio (OR) = 1.965, 95% confidence interval (CI) = 1.237-3.122, p = 0.004), while there was no increased risk of PSCI in the T2 layer (OR = 1.538, 95%CI = 0.983-2.404, p = 0.059).

CONCLUSION

Low HALP score at admission was found to be correlated with early-onset PSCI and may help clinicians in the early identification of high-risk patients.

The moderating effect of cognitive reserve on cognitive function in patients with Acute Ischemic Stroke

BACKGROUND

Recovery of cognitive function after stroke has inter-individual variability. The theory of cognitive reserve offers a potential explanation of the variability in cognitive function after stroke.

OBJECTIVE

This study aimed to investigate the moderating effect of cognitive reserve on the relationship between the stroke severity and cognitive function after stroke.

MATERIALS AND METHODS

A total of 220 patients with Acute Ischemic Stroke (AIS) were recruited in 2021 from two stroke centers in Nanjing, China. The National Institutes of Health Stroke Scale (NIHSS) was used to assess stroke severity upon admission. Cognitive Reserve Index questionnaire (CRIq) and validated Montreal Cognitive Assessment, Changsha Version (MoCA-CS) were used to assess cognitive reserve and cognitive function within 7 days after stroke onset, respectively. A series of multivariate linear regression models were applied to test the moderating effect of cognitive reserve.

RESULTS

Patients with a higher level of cognitive reserve had better cognitive function after stroke compared with those with a lower level of cognitive reserve (β = 0.074, p = 0.003). The interaction of NIHSS and cognitive reserve was statistically significant (β = -0.010, p = 0.045) after adjusting for some key covariates [e.g., age, marital status, Oxfordshire Community Stroke Project (OCSP) classification, Trial of ORG 10172 in Acute Stroke Treatment (TOAST) classification, cerebral vascular stenosis, diabetes and atrial fibrillation].

CONCLUSION

Cognitive reserve may help to buffer the effect of stroke-related pathology on cognitive decline in Chinese acute stroke patients. Enhancing cognitive reserve in stroke patients may be one of the potential strategies for preventing vascular dementia.

Plasma neuropeptide Y and cognitive impairment after acute ischemic stroke

BACKGROUND AND PURPOSE

Neuropeptide Y (NPY) has a modulatory role in learning and memory, and is involved in the pathophysiology of neurodegenerative diseases. However, there was no population-based evidence on the relationship between NPY and post-stroke cognitive impairment (PSCI). We aimed to prospectively examine the association between plasma NPY and cognitive impairment among patients with acute ischemic stroke.

METHODS

On the basis of samples from the China Antihypertensive Trial in Acute Ischemic Stroke, 593 patients with baseline plasma NPY levels were finally included in this study. The study outcome was cognitive impairment (Montreal Cognitive Assessment score < 26) at 3 months after ischemic stroke. Logistic regression models were used to estimate the risk of cognitive impairment.

RESULTS

After 3 months of follow-up, 422 participants (71.2 %) experienced cognitive impairment. Multivariable-adjusted odds ratio (95 % confidence interval) for the highest tertile of NPY was 0.58 (0.36-0.92) compared with the lowest tertile. Each 1-SD higher log-NPY was associated with a decreased risk of 20 % (95 % confidence interval 2 %-34 %) for PSCI. The addition of plasma NPY to the basic model with conventional risk factors improved the risk reclassification (continuous net reclassification index was 22.8 %, p = 0.01; integrated discrimination improvement was 0.9 %, p = 0.02) for PSCI.

LIMITATIONS

We measured plasma NPY only once at baseline and failed to explore the association between NPY changes and PSCI.

CONCLUSIONS

Elevated plasma NPY levels were associated with a decreased risk of cognitive impairment, suggesting plasma NPY may serve as a predictive factor and potential therapeutic target for PSCI.

Exercise Preconditioning Ameliorates Cognitive Impairment in Mice with Ischemic Stroke by Alleviating Inflammation and Modulating Gut Microbiota

Several studies have demonstrated that exercise preconditioning is an effective means of alleviating poststroke cognitive impairment (PSCI). Mechanisms of regulating cognitive function have not been fully elucidated. Herein, the present study is aimed at exploring the effect of the microbiota-gut-inflammasome-brain axis in the process of exercise preconditioning moderating cognitive impairment after ischemic stroke. We observed that exercise preconditioning decreased infarct size, reduced the degree of neuronal damage, and alleviated cognitive impairment in mice with ischemic stroke. In addition, exercise preconditioning also reduced the expression of inflammatory cytokines, as well as NLRP3, Caspase-1, IL-18, and IL-1β protein expressions. Ischemic stroke could downregulate the abundance of Roseburia while increasing the abundance of the Helicobacter at the level of genus. As a comparison, exercise preconditioning increased the abundance of the Lactobacillus, which was beneficial for mice at the genus level. In conclusion, exercise preconditioning can improve cognitive dysfunction after ischemic stroke through alleviating inflammation and regulating the composition and diversity of the gut microbiota, which might provide a new strategy for the prevention of PSCI.

Association between diabetes mellitus and post-stroke cognitive impairment

Stroke survivors suffer from various physical, emotional, and cognitive impairments. These changes are dynamic and depend on multiple factors, including underlying diseases, baseline brain function and pathology, the site of the stroke and the post-stroke inflammation, neurogenesis as well as the subsequent remodeling of the neuro-network. First we review the structural and pathological changes of the brain in stroke survivors with diabetes mellitus, which may lead to post-stroke cognitive dysfunction. Second, we provide evidence of hyperglycemia, diabetes mellitus, hypoglycemia, and their relationship with post-stroke cognitive impairment (PSCI) and post-stroke dementia (PSD). In addition to conventional biomarkers, such as HbA1c, we also provide other novel tools to predict PSCI/PSD, such as glycemic variability, receptor for advanced glycation end products, and gut microbiota. Finally, we attempt to provide some modifying methods for glycemic control, focusing on the prevention of PSCI/PSD.

Multifaceted Assessment of Functional Outcomes in Survivors of First-time Stroke

IMPORTANCE

Because stroke causes diverse functional deficits, understanding the long-term recovery pattern of each functional domain may inform prognosis and therapeutic strategies.

OBJECTIVE

To observe long-term changes in functional status and residual disability in survivors of first-time stroke.

DESIGN, SETTING, AND PARTICIPANTS

This cohort study was an interim analysis of the Korean Stroke Cohort for Functioning and Rehabilitation. Between August 2012 and May 2015, 7858 of 10 636 screened patients with first-time strokes from 9 district hospitals in Korea provided informed consent to participate. Data were analyzed from September 2021 through February 2022.

EXPOSURE

First-time stroke.

MAIN OUTCOMES AND MEASURES

Study data include multifaceted face-to-face functional assessments obtained at 8 to 9 points until 60 months after stroke onset. The Korean Mini-Mental State Examination (K-MMSE), Fugl-Meyer Assessment, Functional Ambulatory Category, American Speech-Language-Hearing Association National Outcome Measurement System Swallowing Scale, and Short Korean version of the Frenchay Aphasia Screening Test were performed from 7 days to 60 months after stroke. The Korean Modified Barthel Index was measured from 3 months to 60 months after stroke.

RESULTS

A total of 4443 patients (2649 men [59.62%]; mean [SD] age 62.13 [12.43] years) who underwent repeated functional assessments for 60 months after stroke (3508 patients with ischemic and 935 patients with hemorrhagic stroke) were included. Overall, functions plateaued between 12 and 18 months after stroke and declined after 30 months; for example, mean (SD) K-MMSE improved from 7 days (22.89 [7.89]) to 12 months (26.03 [5.48]) (P < .001), plateaued until 36 months (26.03 [5.84]), and decreased to 48 months (26.02 [5.82]) (P < .001). Interaction associations were found between time after stroke and age, stroke severity, and stroke type in functional assessment outcomes. For example, mean (SE) FMA for ages 65 years or younger vs older than 65 years was 81.64 (0.63) vs 80.69 (0.68) at 7 days and 91.28 (0.47) vs 88.46 (0.58) at 6 months (P for interaction < .001), and for IS vs HS, it was 84.46 (0.47) vs 69.02 (1.24) at 7 days and 91.20 (0.38) vs 85.51 (0.98) at 6 months (P for interaction < .001). Mean (SE) FMA was 94.39 (0.21) at 7 days and 97.57 (0.14) at 6 months for mild stroke, 44.69 (1.18) at 7 days and 70.43 (1.21) at 6 months for moderate stroke, and 13.22 (0.99) at 7 days and 48.07 (2.62) at 6 months for severe stroke (P for interaction < .001). Factors associated with activities of daily living independence at 60 months included older age (β per 1-year increase = -0.35; standard error [SE], 0.03; P < .001), male sex (β = 2.12; SE, 0.73; P = .004), and hemorrhagic stroke type (β vs ischemic stroke = 2.35; SE, 0.81; P = .004).

CONCLUSIONS AND RELEVANCE

This study found that long-term recovery patterns in multifaceted functional domains differed from one another and varied by patient age, stroke severity, and stroke type. Understanding the diversity of long-term functional recovery patterns and factors associated with these outcomes in survivors of stroke may help clinicians develop strategies for effective stroke care and rehabilitation.

Factors Influencing Post-Stroke Cognitive Impairment in Patients with Type 2 Diabetes Mellitus

Objective

Type 2 diabetes mellitus (T2DM) and ischemic stroke, which are common diseases among older people, are closely related to cognitive impairment. This study aims to investigate the influencing factors of post-stroke cognitive impairment (PSCI) in patients with T2DM.

Methods

We enrolled 161 patients with T2DM who experienced acute ischemic stroke and were hospitalized in the Department of Neurology, Jinan Central Hospital, Shandong, China. Cognitive function was evaluated with the Montreal Cognitive Assessment scale. According to the results, patients were divided into three groups-the cognitively normal group, mild cognitive impairment group, and severe cognitive impairment group. We analyzed general demographic data, laboratory information, imaging data, the results of neuropsychological evaluation, and clinical features as well as influencing factors of PSCI in these patients and established a prediction model.

Results

The three groups of patients were significantly different in terms of age, education level, course of diabetes mellitus (DM), recurrent cerebral infarction (RCI), and other factors. RCI, course of DM, and glycated hemoglobin (HbA1c) were independent risk factors of PSCI in patients with T2DM, with odds ratio (95% confidence interval): 7.17 (2.09, 30.37), 5.39 (2.40, 14.59), and 3.89 (1.66, 10.04), respectively, whereas female, senior high school, serum albumin were protective factors: 0.28 (0.07, 0.95), 0.05 (0.01, 0.21), 0.20 (0.08, 0.42), respectively. Furthermore, we constructed a prediction model using sex, age, education level, RCI, DM course, HbA1c and serum albumin and obtained a receiver operating characteristic (ROC) curve. The area under the ROC curve is 0.966, suggesting the significant association of these influencing factors with PSCI in patients with T2DM.

Conclusion

In this study, the occurrence of PSCI in patients with T2DM was related to RCI, course of DM, and HbA1c, among other factors. Attention to influencing factors is needed in these patients for early diagnosis and timely intervention of cognitive impairment.

Plasma Phosphorylated-tau181 Is a Predictor of Post-stroke Cognitive Impairment: A Longitudinal Study

Introduction

Post-stroke cognitive impairment (PSCI) cannot be neglected because it drastically influences the daily life of patients and their families. However, there are no studies exploring the association between preclinical blood biomarkers of neurodegeneration including plasma amyloid-β (Aβ), tau, and brain-derived neurotrophic factor (BDNF) together with the risk of PSCI. This longitudinal study was to investigate whether these blood biomarkers with imaging markers of cerebral small vessel disease can improve the prediction for PSCI. In addition, we also explored the association between blood biomarkers with the trajectories of PSCI.

Methods

Adult patients with first-ever acute ischemic stroke were recruited, and the cognitive and functional abilities of these patients were evaluated. Furthermore, blood biomarkers of neurodegeneration including plasma Aβ-40, Aβ-42, total tau, phosphorylated tau 181 (p-tau181), and BDNF levels and image markers of cerebral small vessel disease were measured. Each patient was followed up at 3 and 12 months at the outpatient department.

Results

Of 136 patients, 40 and 50 patients developed PSCI at 3 and 12 months after stroke, respectively. In functional trajectories, 27 patients did not have PSCI at 3 months but did at 12 months. By contrast, the PSCI status of 17 patients at 3 months was reversed at 12 months. Patients with high-acute plasma p-tau181 had a significantly lower PSCI risk at 3 months (odds ratio [OR] = 0.62, 95% CI = 0.40-0.94, p = 0.0243) and 12 months (OR = 0.69, 95% CI = 0.47-0.99, p = 0.0443) after adjustment for covariates and image biomarkers. Discrimination and reclassification statistics indicated that the p-tau181 level can improve discrimination ability for PSCI at 3 and 12 months, respectively. In addition, the plasma p-tau181 level was the highest in subjects without PSCI followed by those with delayed-onset PSCI and early-onset PSCI with reversal, whereas the lowest plasma p-tau181 level was found among those with persistent PSCI, showing a significant trend test (p = 0.0081).

Conclusion

Plasma p-tau181 is a potential biomarker for predicting early- and delayed-onset PSCI. Future studies should incorporate plasma p-tau181 as an indicator for timely cognitive intervention in the follow-up of patients with stroke.

A New Nomogram Model for Individualized Prediction of Cognitive Impairment in Patients with Acute Ischemic Stroke

BACKGROUND

Cognitive impairment is a common symptom after ischemic stroke. Such symptom can cause effect on rehabilitation of patients and their quality of life and. As stroke rapidly growth on nowadays, a reliable scoring tool to detect the risk of cognitive impairment after stroke is now being put on the first place.

METHODS

We enrolled patients with acute ischemic stroke (AIS) as samples and hospitalized all at the First Affiliated Hospital of Soochow University between October 2018 and June 2020. All patients were assessed by the Montreal Cognitive Assessment (MoCA) scales and MoCA score < 26 was defined as standard to have having cognitive impairment. All patients were randomly (7:3) divided into two cohorts: the primary ones and the validated ones. Based on multivariate logistic model, the independent predictors of cognitive impairment in the acute phase were identified. The predictive nomogram was generated and evaluated by Harrell's concordance index (C-index) and calibration plot both in two cohorts, respectively.

RESULTS

A total of 191 patients were enrolled, of whom 135 comprised the primary cohort and 56 comprised the validated cohort. Gender, age, baseline NIHSS score, hyperhomocysteinemia (HHcy) and multiple lesions were independently associated with acute cognitive impairment after stroke and included to construct the nomogram. The nomogram derived from the primary cohort had an Area Under Curve (AUC) of 0.773 and the validated ones had an AUC of 0.859. Calibration plot revealed adequate fit of the nomogram in predictive value.

CONCLUSION

The new nomogram based on gender, age, baseline NIHSS score, HHcy and multiple lesions gave rise to an accurate and comprehensive prediction for cognitive impairment in AIS patients. After further validation, it could potentially be a reliable forecasting tool.

Obstructive sleep apnea is associated with cognitive impairment in minor ischemic stroke

Objectives

Obstructive sleep apnea (OSA) is commonly seen in stroke patients, and its relationship with cognitive impairment remains poorly understood. This study aimed to explore the roles of OSA in cognition impairment in patients with minor ischemic stroke.

Methods

Patients with minor ischemic stroke were consecutively enrolled from January 2020 to May 2021. Every patient underwent polysomnography (PSG) to assess for OSA. Based on the apnea hypopnea index (AHI), patients were grouped into the no OSA (AHI < 5), mild OSA (5 ≤ AHI < 15), and moderate-to-severe OSA (MS OSA, AHI ≥ 15) groups. Neuropsychological assessments were performed to evaluate cognitive function, and the correlations between cognitive function and OSA were investigated.

Results

Of 94 patients, 35 had no OSA, 32 had mild OSA, and 27 had moderate-to-severe OSA. Compared to the no or mild OSA groups, the moderate-to-severe OSA group performed worse on the Chinese version of the Auditory Verbal Learning Test (CAVLT)-Recognition (p < 0.001), Digital Span Test (DST)-Backward (p < 0.001), Montreal Cognitive Assessment (MoCA) (p < 0.001), and Stroop Color and Word Test (SCWT)-Interference (p < 0.001). The severity of cognitive impairment was assessed using the MoCA, which was negatively related to the AHI (p = 0.041) and lowest SpO2 (p = 0.048).

Conclusions

The findings suggest that OSA has significant effects on cognition impairment in patients with minor ischemic stroke and that hypoxemia may be a potential pathophysiological mechanism of OSA-induced cognitive impairment.

Efficacy and safety of acupuncture combined with Chinese herbal medicine traditional Chinese medicine for poststroke cognitive impairment: A protocol for a systematic review and meta-analysis

BACKGROUND

Poststroke cognitive impairment (PSCI) is often secondary to poststroke, which is common in stroke patients, induced difficulty in rehabilitation and seriously affects their quality of life. Currently, effective treatments are still limited. Researches show that acupuncture combined with traditional Chinese medicine (TCM) has a good effect on PSCI. However, there is no consistent conclusion at present. Therefore, THE purpose of this study is to assess the effectiveness and safety of acupuncture combined with TCM in the treatment of PSCI.

METHODS

We will search the following databases from inception to January, 2022: the Cochrane Library, PubMed, Embase, Medline, Web of Science, China National Knowledge Infrastructure, China Biology Medicine, Wan Fang data, and the Chinese Science and Technology Periodical Database. All randomized controlled trials eligible for acupuncture combined with TCM for PSCI will be included in this study. Study selection, data extraction, and quality assessment will be performed by 2 reviewers independently. Bias risk assessment and data synthesis will be performed using the Review Manager software (RevMan, version 5.3) and R (version 3.6.1) software.

RESULTS

We will synthesize the current studies to evaluate the effectiveness and safety of acupuncture combined with TCM in the treatment of PSCI.

CONCLUSION

The systematic review will provide a new paradigm for acupuncture combined with TCM in the intervention of PSCI, and further provide scientific evidence for the efficacy and safety of acupuncture combined with TCM in the treatment of PSCI.

TRIAL REGISTRATION NUMBER

INPLASY202220062.

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.

Efficacy and Safety of DL-3-n-Butylphthalide in the Treatment of Poststroke Cognitive Impairment: A Systematic Review and Meta-Analysis

Background: Poststroke cognitive impairment (PSCI) is a common complication observed after stroke. Current pharmacologic therapies have no definitive evidence for cognitive recovery or disease progression. Recent studies have verified the positive effect of DL-3-n-butylphthalide (NBP). However, the clinical efficacy and safety are still unclear. The aim of this study was to assess the efficacy of NBP and its harmful effect in the treatment of PSCI.

Method: Eligible randomized controlled trials (RCTs) were retrieved from inception to June 2021 from seven medical databases and two clinical registries. The revised Cochrane risk of bias tool (RoB 2.0) was used for methodological quality. RevMan v5.4.1 from Cochrane Collaboration was used for statistical analysis, and Hartung-Knapp-Sidik-Jonkman (HKSJ) method was used for post hoc testing depend on the number of studies. This study has been submitted to PROSPERO with registration number is CRD42021274123.

Result: We identified 26 studies with a total sample size of 2,571 patients. The results of this study showed that NBP as monotherapy or combination therapy had better performance in increasing the MoCA (monotherapy: SMD_N = 1.05, 95% CI [0.69, 1.42], p < 0.00001; SMD_P = 1.06, 95% CI [0.59, 1.52], p < 0.00001. combination: SMD_O = 0.81, 95% CI [0.62, 1.01], p < 0.00001; SMD_N = 0.90, 95% CI [0.46, 1.33], p < 0.0001; SMD_D = 1.04, 95% CI [0.71, 1.38], p < 0.00001), MMSE (monotherapy: MD_N = 4.89, 95% CI [4.14, 5.63]), p < 0.00001). combination: SMD_O = 1.26, 95% CI [0.97, 1.56], p < 0.00001; SMD_C = 1.63, 95% CI [1.28, 1.98], p < 0.00001; SMD_N = 2.13, 95% CI [1.52, 2.75], p < 0.00001) and BI (monotherapy: MD_N = 13.53, HKSJ 95% CI [9.84, 17.22], p = 0.014. combination: SMD_O = 2.24, HKSJ 95%CI [0.37, 4.11], p = 0.032; SMD_C = 3.36, 95%CI [2.80, 3.93], p < 0.00001; SMD_D = 1.48, 95%CI [1.13, 1.83], p < 0.00001); and decreasing the NIHSS (monotherapy: MD_N = −3.86, 95% CI [−5.22, −2.50], p < 0.00001. combination: SMD_O = −1.15, 95% CI [−1.31, −0.98], p < 0.00001; SMD_C = −1.82, 95% CI [−2.25, −1.40], p < 0.00001) and CSS (combination: MD_O = −7.11, 95% CI [−8.42, −5.80], p < 0.00001), with no serious adverse reactions observed. The funnel plot verified the possibility of publication bias.

Conclusion: NBP maintains a stable pattern in promoting the recovery of cognitive function and abilities of daily living, as well as reducing the symptoms of neurological deficits. However, there is still a need for more high-quality RCTs to verify its efficacy and safety.

Development and validation of a clinical model (DREAM-LDL) for post-stroke cognitive impairment at 6 months

Introduction: This multicenter, retrospective study assessed the prevalence of post-stroke cognitive impairment (PSCI) 6 months after acute ischemic stroke (AIS) and its risk factors to build a bedside early predictive model for PSCI using the Montreal Cognitive Assessment (MoCA).

Methods: Records of consecutive patients with AIS treated at 4 stroke centers in Shanghai had MoCA assessments within 2 weeks after AIS onset and 6 months later were reviewed. Prevalence of PSCI (MoCA<22) was calculated and risk factors were identified by multivariate logistic regression analysis. The modeling and validation and identified risk factors were included in a predictive model using multivariate regression.

Results: There were 383 patients included and prevalence of PSCI 6 months after AIS was 34.2%, significantly lower than prevalence of patients with acute cognitive impairment (49.6%). Aging, less education, higher glucose level and severe stroke were PSCI risk factors, while level of low-density lipoprotein cholesterol (LDL-C) had a paradox effect on the risk of PSCI. 40.0% of the patients with cognitive impairment at acute phase reverted to normal, and patients with LDL-C 1.8-2.5 mmol/L were more likely to revert. The predictive model we built, DREAM-LDL (Diabetes [fasting blood glucose level], Rating [NIHSS], level of Education, Age, baseline MoCA and LDL-C level), had an AUROC of 0.93 for predicting PSCI at 6 months.

Conclusion: PSCI was common among AIS patients 6 months after AIS. We provided a practical tool to predict PSCI based on MoCA and risk factors present during acute phase of AIS.

European Stroke Organisation and European Academy of Neurology joint guidelines on post-stroke cognitive impairment

BACKGROUND AND PURPOSE

The optimal management of post-stroke cognitive impairment (PSCI) remains controversial. These joint European Stroke Organisation (ESO) and European Academy of Neurology (EAN) guidelines provide evidence-based recommendations to assist clinicians in decision making regarding prevention, diagnosis, treatment and prognosis.

METHODS

Guidelines were developed according to the Grading of Recommendations, Assessment, Development and Evaluation (GRADE) methodology. The working group identified relevant clinical questions, performed systematic reviews, assessed the quality of the available evidence, and made specific recommendations. Expert consensus statements were provided where insufficient evidence was available to provide recommendations.

RESULTS

There was limited randomized controlled trial (RCT) evidence regarding single or multicomponent interventions to prevent post-stroke cognitive decline. Lifestyle interventions and treating vascular risk factors have many health benefits, but a cognitive effect is not proven. We found no evidence regarding routine cognitive screening following stroke, but recognize the importance of targeted cognitive assessment. We describe the accuracy of various cognitive screening tests, but found no clearly superior approach to testing. There was insufficient evidence to make a recommendation for use of cholinesterase inhibitors, memantine nootropics or cognitive rehabilitation. There was limited evidence on the use of prediction tools for post-stroke cognition. The association between PSCI and acute structural brain imaging features was unclear, although the presence of substantial white matter hyperintensities of presumed vascular origin on brain magnetic resonance imaging may help predict cognitive outcomes.

CONCLUSIONS

These guidelines highlight fundamental areas where robust evidence is lacking. Further definitive RCTs are needed, and we suggest priority areas for future research.

European Stroke Organisation and European Academy of Neurology joint guidelines on post-stroke cognitive impairment

The optimal management of post-stroke cognitive impairment remains controversial. These joint European Stroke Organisation (ESO) and European Academy of Neurology (EAN) guidelines provide evidence-based recommendations to assist clinicians in decision making around prevention, diagnosis, treatment and prognosis. These guidelines were developed according to ESO standard operating procedure and the Grading of Recommendations, Assessment, Development and Evaluation (GRADE) methodology. The working group identified relevant clinical questions, performed systematic reviews and, where possible, meta-analyses of the literature, assessed the quality of the available evidence and made specific recommendations. Expert consensus statements were provided where insufficient evidence was available to provide recommendations based on the GRADE approach. There was limited randomised controlled trial evidence regarding single or multicomponent interventions to prevent post-stroke cognitive decline. Interventions to improve lifestyle and treat vascular risk factors may have many health benefits but a beneficial effect on cognition is not proven. We found no evidence around routine cognitive screening following stroke but recognise the importance of targeted cognitive assessment. We described the accuracy of various cognitive screening tests but found no clearly superior approach to testing. There was insufficient evidence to make a recommendation for use of cholinesterase inhibitors, memantine nootropics or cognitive rehabilitation. There was limited evidence on the use of prediction tools for post-stroke cognitive syndromes (cognitive impairment, dementia and delirium). The association between post-stroke cognitive impairment and most acute structural brain imaging features was unclear, although the presence of substantial white matter hyperintensities of presumed vascular origin on acute MRI brain may help predict cognitive outcomes. These guidelines have highlighted fundamental areas where robust evidence is lacking. Further, definitive randomised controlled trials are needed, and we suggest priority areas for future research.

Efficacy of computerized cognitive training on improving cognitive functions of stroke patients: A systematic review and meta-analysis of randomized controlled trials

AIM

To evaluate the effects of computerized cognitive training on the cognitive functions of stroke patients.

BACKGROUND

With increased publications on computerized cognitive training, a meta-analysis is essential to determine the effects of computerized cognitive training among stroke patients.

DESIGN

A systematic review and meta-analysis of randomized controlled studies.

DATA SOURCES

Cochrane Library, Pubmed, EBSCO, Scopus, China National Knowledge Infrastructure, China Biology Medicine disc and Wanfang Database were explored to search for research studies from inception to January 2020.

REVIEW METHODS

Six outcomes indicators were considered to determine the effects of computerized cognitive training. Two reviewers were selected to search and independently appraise the available articles from various databases. Meta-analysis was performed using the RevMan 5.3 software.

RESULTS

A total of 622 patients with 17 studies were included. Computerized cognitive training significantly improves global cognition, working memory, attention and executive function of stroke patients. However, there was inadequate evidence to demonstrate any effects of computerized cognitive training on activities of daily living and depression.

CONCLUSION

Computerized cognitive training improves the cognitive functions of stroke patients. However, further research studies are needed to confirm its efficacy in activities of daily living as well as on alleviating depression.

Prognostic rules for predicting cognitive syndromes following stroke: A systematic review

Purpose

Stroke survivors are at high risk of developing cognitive syndromes, such as delirium and dementia. Accurate prediction of future cognitive outcomes may aid timely diagnosis, intervention planning, and stratification in clinical trials. We aimed to identify, describe and appraise existing multivariable prognostic rules for prediction of post-stroke cognitive status.

Method

We systematically searched four electronic databases from inception to November 2019 for publications describing a method to estimate individual probability of developing a cognitive syndrome following stroke. We extracted data from selected studies using a pre-specified proforma and applied the Prediction model Risk Of Bias Assessment Tool (PROBAST) for critical appraisal.

Findings

Of 17,390 titles, we included 10 studies (3143 participants), presenting the development of 11 prognostic rules – 7 for post-stroke cognitive impairment and 4 for delirium. Most commonly incorporated predictors were: demographics, imaging findings, stroke type and symptom severity. Among studies assessing predictive discrimination, the area under the receiver operating characteristic (AUROC) in apparent validation ranged from 0.80 to 0.91. The overall risk of bias for each study was high. Only one prognostic rule had been externally validated.

Discussion/conclusion: Research into the prognosis of cognitive outcomes following stroke is an expanding field, still at its early stages. Recommending use of specific prognostic rules is limited by the high risk of bias in all identified studies, and lack of supporting evidence from external validation. To ensure the quality of future research, investigators should adhere to current, endorsed best practice guidelines for conduct of prediction model studies.

Dysbiosis is one of the risk factor for stroke and cognitive impairment and potential target for treatment

More than 50 million people have various forms of cognitive impairment basically caused by neurodegenerative diseases, such as Alzheimer's, Parkinson's, and cerebrovascular diseases as well as stroke. Often these conditions coexist and exacerbate one another. The damaged area in post-stroke dementia may lead to neurodegenerative lesions. Gut microbiome functions like an endocrine organ by generating bioactive metabolites that can directly or indirectly impact human physiology. An alteration in the composition and function of intestinal flora, i.e. gut dysbiosis, is implicated in neurodegenerative and cerebrovascular diseases. Additionally, gut dysbiosis may accelerate the progression of cognitive impairment. Dysbiosis may result from obesity; metabolic disorders, cardiovascular disease, and sleep disorders, Lack of physical activity is associated with dysbiosis as well. These may coexist in various patterns in older people, enhancing the risk, incidence, and progression of cerebrovascular lesions, neurodegenerative disorders, and cognitive impairment, creating a vicious circle. Recently, it has been reported that several metabolites produced by gut microbiota (e.g., trimethylamine/trimethylamine N-oxide, short-chain fatty acids, secondary bile acids) may be linked to neurodegenerative and cerebrovascular diseases. New treatment modalities, including prebiotic and probiotics, may normalize the gut microbiota composition, change the brain-gut barrier, and decrease the risk of the pathology development. Fecal microbiota transplantation, sometimes in combination with other methods, is used for remodeling and replenishing the symbiotic gut microbiome. This promising field of research is associated with basic findings of bidirectional communication between body organs and gut microbiota that creates new possibilities of pharmacological treatments of many clinical conditions. The authors present the role of gut microbiota in physiology, and the novel therapeutic targets in modulation of intestinal microbiota Personalized therapies based on their personal genome make up could offer benefits by modulating microbiota cross-talk with brain and cardiovascular system. A healthy lifestyle, including pre and probiotic nutrition is generally recommended. Prevention may also be enhanced by correcting gut dysbiosis resulting a reduced risk of post-stroke cognitive impairment including dementia.