Stroke in the elderly

Association between deep neural network-derived electrocardiographic-age and incident stroke

Background

Stroke continues to be a leading cause of death and disability worldwide despite improvements in prevention and treatment. Traditional stroke risk calculators are biased and imprecise. Novel stroke predictors need to be identified. Recently, deep neural networks (DNNs) have been used to determine age from ECGs, otherwise known as the electrocardiographic-age (ECG-age), which predicts clinical outcomes. However, the relationship between ECG-age and stroke has not been well studied. We hypothesized that ECG-age is associated with incident stroke.

Methods

In this study, UK Biobank participants with available ECGs (from 2014 or later). ECG-age was estimated using a deep neural network (DNN) applied to raw ECG waveforms. We calculated the Δage (ECG-age minus chronological age) and classified individuals as having normal, accelerated, or decelerated aging if Δage was within, higher, or lower than the mean absolute error of the model, respectively. Multivariable Cox proportional hazards regression models adjusted for age, sex, and clinical factors were used to assess the association between Δage and incident stroke.

Results

The study population included 67,757 UK Biobank participants (mean age 65 ± 8 years; 48.3% male). Every 10-year increase in Δage was associated with a 22% increase in incident stroke [HR, 1.22 (95% CI, 1.00-1.49)] in the multivariable-adjusted model. Accelerated aging was associated with a 42% increase in incident stroke [HR, 1.42 (95% CI, 1.12-1.80)] compared to normal aging. In addition, Δage was associated with prevalent stroke [OR, 1.28 (95% CI, 1.11-1.49)].

Conclusions

DNN-estimated ECG-age was associated with incident and prevalent stroke in the UK Biobank. Further investigation is required to determine if ECG-age can be used as a reliable biomarker of stroke risk.

Predictive models for delay in medical decision-making among older patients with acute ischemic stroke: a comparative study using logistic regression analysis and lightGBM algorithm

OBJECTIVE

To explore the factors affecting delayed medical decision-making in older patients with acute ischemic stroke (AIS) using logistic regression analysis and the Light Gradient Boosting Machine (LightGBM) algorithm, and compare the two predictive models.

METHODS

A cross-sectional study was conducted among 309 older patients aged ≥ 60 who underwent AIS. Demographic characteristics, stroke onset characteristics, previous stroke knowledge level, health literacy, and social network were recorded. These data were separately inputted into logistic regression analysis and the LightGBM algorithm to build the predictive models for delay in medical decision-making among older patients with AIS. Five parameters of Accuracy, Recall, F1 Score, AUC and Precision were compared between the two models.

RESULTS

The medical decision-making delay rate in older patients with AIS was 74.76%. The factors affecting medical decision-making delay, identified through logistic regression and LightGBM algorithm, were as follows: stroke severity, stroke recognition, previous stroke knowledge, health literacy, social network (common factors), mode of onset (logistic regression model only), and reaction from others (LightGBM algorithm only). The LightGBM model demonstrated the more superior performance, achieving the higher AUC of 0.909.

CONCLUSIONS

This study used advanced LightGBM algorithm to enable early identification of delay in medical decision-making groups in the older patients with AIS. The identified influencing factors can provide critical insights for the development of early prevention and intervention strategies to reduce delay in medical decisions-making among older patients with AIS and promote patients' health. The LightGBM algorithm is the optimal model for predicting the delay in medical decision-making among older patients with AIS.

Simultaneous high-definition transcranial direct current stimulation and robot-assisted gait training in stroke patients

This study investigates whether simultaneous high-definition transcranial direct current stimulation (HD-tDCS) enhances the effects of robot-assisted gait training in stroke patients. Twenty-four participants were randomly allocated to either the robot-assisted gait training with real HD-tDCS group (real HD-tDCS group) or robot-assisted gait training with sham HD-tDCS group (sham HD-tDCS group). Over four weeks, both groups completed 10 sessions. The 10 Meter Walk Test, Timed Up and Go, Functional Ambulation Category, Functional Reach Test, Berg Balance Scale, Dynamic Gait Index, Fugl-Meyer Assessment, and Korean version of the Modified Barthel Index were conducted before, immediately after, and one month after the intervention. The real HD-tDCS group showed significant improvements in the 10 Meter Walk Test, Timed Up and Go, Functional Reach Test, and Berg Balance Scale immediately and one month after the intervention, compared with before the intervention. Significant improvements in the Dynamic Gait Index and Fugl-Meyer Assessment were also observed immediately after the intervention. The sham HD-tDCS group showed no significant improvements in any of the tests. Application of HD-tDCS during robot-assisted gait training has a positive effect on gait and physical function in chronic stroke patients, ensuring long-term training effects. Our results suggest the effectiveness of HD-tDCS as a complementary tool to enhance robotic gait rehabilitation therapy in chronic stroke patients.

Efficacy and safety of dual antiplatelet therapy in the elderly for stroke prevention: a subgroup analysis of the CHANCE-2 trial

OBJECTIVES

Evidence of the optimal antiplatelet therapy for elderly patients who had a stroke is limited, especially those elder than 80 years. This study aimed to explore the efficacy and safety of dual antiplatelet therapy (DAPT) in old-old patients compared with younger patients in the ticagrelor or Clopidogrel with aspirin in High-risk patients with Acute Non-disabling Cerebrovascular Events-II (CHANCE-2) trial.

METHODS

CHANCE-2 was a randomised, double-blind, placebo-controlled trial in China involving patients with high-risk transient ischaemic attack or minor stroke with CYP2C19 loss-of-function alleles. In our substudy, all enrolled patients were stratified by age: old-old (≥80 years), young-old (65-80 years) and younger (<65 years). The primary outcomes were stroke recurrence and moderate to severe bleeding within 90 days, respectively.

RESULTS

Of all the 6412 patients, 406 (6.3%) were old-old, 2755 (43.0%) were young-old and 3251 (50.7%) were younger. Old-old patients were associated with higher composite vascular events (HR 1.41, 95% CI 1.00 to 1.98, p=0.048), disabling stroke (OR 2.43, 95% CI 1.52 to 3.88, p=0.0002), severe or moderate bleeding (HR 8.40, 95% CI 1.95 to 36.21, p=0.004) and mortality (HR 7.56, 95% CI 2.23 to 25.70, p=0.001) within 90 days. Ticagrelor-aspirin group was associated with lower risks of stroke recurrence within 90 days in younger patients (HR 0.68, 95% CI 0.51 to 0.91, p=0.008), which was no differences in old-old patients.

CONCLUSION

Elderly patients aged over 80 in CHANCE-2 trial had higher risks of composite vascular events, disabling stroke, severe or moderate bleeding and mortality within 90 days. Genotype-guided DAPT might not be as effective in old-old patients as in younger ones.

TRIAL REGISTRATION NUMBER

NCT04078737.

Identification of Hub Genes and Pathways of Middle Cerebral Artery Occlusion in Aged Rats Using the Gene Expression Omnibus Database

Stroke remained the leading cause of disability in the world, and the most important non-modifiable risk factor was age. The treatment of stroke for elder patients faced multiple difficulties due to its complicated pathogenesis and mechanism. Therefore, we aimed to identify the potential differentially expressed genes (DEGs) and singnalling pathways for aged people of stroke. To compare the DEGs in the aged rats with or without middle cerebral artery occlusion (MCAO) and to analyse the important genes and the key signaling pathways involved in the development of cerebral ischaemia in aged rats. The Gene Expression Omnibus (GEO) analysis tool was used to analyse the DEGs in the GSE166162 dataset of aged MCAO rats compared with aged sham rats. Differential expression analysis was performed in aged MCAO rats and sham rats using limma. In addition, the 74 DEGs (such as Fam111a, Lcn2, Spp1, Lgals3 and Gpnmb were up-regulated; Egr2, Nr4a3, Arc, Klf4 and Nr4a1 were down-regulated) and potential compounds corresponding to the top 20 core genes in the Protein-Protein Interaction (PPI) network was constructed using the STRING database (version 12.0). Among these 30 compounds, resveratrol, cannabidiol, honokiol, fucoxanthin, oleandrin and tyrosol were significantly enriched. These DEGs were subjected to Gene Ontology (GO) function analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis to determine the most significantly enriched pathway in aged MCAO rats. Moreover, innate immune response, the complement and coagulation cascades signaling pathway, the IL-17 and other signaling pathways were significantly correlated with the aged MCAO rats. Our study indicates that multiple genes and pathological processes involved in the aged people of stroke. The immune response might be the key pathway in the intervention of cerebral infarction in aged people.

Examining the factors associated with functional capacity of community-dwelling older adults using the ICF framework: a cross-sectional study from the Frailty in Brazilian Older Adults Study (FIBRA)

BACKGROUND

There are many factors associated with functioning and disability in older adults and these relationships are not clear.

OBJECTIVE

To explore the factors associated with functional capacity of older adults using the framework of the International Classification of Functioning, Disability, and Health (ICF).

METHODS

This is a cross-sectional study with a dataset from a survey of 1 377 community-dwelling older adults (≥ 65 years) in a middle-income country. Three functional outcomes were selected to represent the functioning domains: 1) muscle strength for body function; 2) walking speed for activity; and 3) advanced activities of daily living (ADL) for participation. Demographic, clinical, and social information was selected to represent the domains of health conditions and contextual factors (i.e. personal and environmental factors). Multivariate models tested the impact of these factors on each outcome.

RESULTS

Depressive symptoms, age, and physical activity were associated with the three outcomes. Muscle strength was also associated with urinary incontinence, visual deficits, female sex, and employment. Walking speed was also associated with urinary incontinence, obesity, fractures due to falls, female sex, health professionals' visits, and walking aid devices. Advanced ADL were also associated with stroke, visual deficits, education, employment, health perception, social support, and walking aid devices.

CONCLUSION

Functional capacity of older adults is associated with some non-modifiable factors, such as age and sex. The modifiable factors must be addressed by health professionals and policymakers in the geriatric area, especially depression, obesity, physical inactivity, and social support.

Enriched environment remodels the central immune environment and improves the prognosis of acute ischemic stroke in elderly mice with chronic ischemia

With the aging of many populations, cognitive and motor dysfunction caused by ischemic stroke (IS) secondary to long-term chronic cerebral ischemia presents a global problem. Enriched environment (EE), a classic paradigm of environment response and genetic interaction, has shown tremendous influence on the brain. This research aimed to investigate the potential effect of EE on cognitive and motor function in mice with chronic cerebral ischemia and secondary IS. In the chronic cerebral hypoperfusion (CCH) phase, EE treatment improved behavior performance by alleviating neuronal loss and white matter myelin damage, promoting the expression of brain-derived neurotrophic factor (BDNF) and phosphor-cAMP response element binding protein (p-CREB). Furthermore, infiltration of microglia/macrophages and astrocytes was inhibited, and the levels of IL-1β and TNFα were decreased. In the IS phase, EE altered the neuronal outcome on day 21 but not on day one after IS. In addition, EE inhibited IS-induced infiltration of microglia/macrophages and astrocytes, mediated the polarization of microglia/macrophages, and reduced pro-inflammatory factors. Importantly, EE improved IS-induced cognitive and motor deficits on day 21. Collectively, our work demonstrates that EE protects mice from cognitive and motor dysfunction and inhibits neuroinflammation caused by CCH and IS.

Development and Validation of a Novel Nomogram to Predict Hypoalbuminemia among Patients with Stroke in the Neurocritical Care Unit

This study aimed to investigate hypoalbuminemia-related factors in patients with stroke in the neurocritical care unit (NCU) and to establish a nomogram model for hypoalbuminemia prediction. Data from 902 patients hospitalized for stroke in the NCU who had normal albumin levels on admission from March 2018 to December 2020 were analyzed. Logistic regression was used to identify the risk factors associated with hypoalbuminemia. A novel nomogram prediction model for hypoalbuminemia was constructed, and it was validated in an independent set (n = 233). The nomogram incorporated seven risk factors, including age, high comorbidity, mechanical ventilation, feeding routes, total protein, high-sensitivity C-reactive protein, and fibrinogen levels, and its area under the curve for predicting hypoalbuminemia in the developmental set and validation set were 0.856 and 0.870, respectively. The novel nomogram facilitates risk prediction of hypoalbuminemia among patients with stroke in the NCU, which might be useful for selecting treatment strategies and management.

OnabotulinumtoxinA in elderly patients with chronic migraine: insights from a real-life European multicenter study

INTRODUCTION

Although migraine prevalence decreases with aging, some older patients still suffer from chronic migraine (CM). This study aimed to investigate the outcome of OnabotulinumtoxinA (OBT-A) as preventative therapy in elderly CM patients.

METHODS

This is a post hoc analysis of real-life prospectively collected data at 16 European headache centers on CM patients treated with OBT-A over the first three treatment cycles (i.e., Cy1-3). We defined: OLD patients aged ≥ 65 years and nonOLD those < 65-year-old. The primary endpoint was the changes in monthly headache days (MHDs) from baseline to Cy 1-3 in OLD compared with nonOLD participants. The secondary endpoints were the responder rate (RR) ≥ 50%, conversion to episodic migraine (EM) and the changes in days with acute medication use (DAMs).

RESULTS

In a cohort of 2831 CM patients, 235 were OLD (8.3%, 73.2% females, 69.6 years SD 4.7). MHDs decreased from baseline (24.8 SD 6.2) to Cy-1 (17.5 SD 9.1, p < 0.000001), from Cy-1 to Cy-2 (14.8 SD 9.2, p < 0.0001), and from Cy-2 to Cy-3 (11.9 SD 7.9, p = 0.001). DAMs progressively reduced from baseline (19.2 SD 9.8) to Cy-1 (11.9 SD 8.8, p < 0.00001), to Cy-2 (10.9 SD 8.6, p = 0.012), to Cy-3 (9.6 SD 7.4, p = 0.049). The 50%RR increased from 30.7% (Cy-1) to 34.5% (Cy-2), to 38.7% (Cy-3). The above outcome measures did not differ in OLD compared with nonOLD patients.

CONCLUSION

In a population of elderly CM patients with a long history of migraine OBT-A provided a significant benefit, over the first three treatment cycles, as good as in non-old patients.

Evaluation of Blood Biomarkers and Parameters for the Prediction of Stroke Survivors' Functional Outcome upon Discharge Utilizing Explainable Machine Learning

Despite therapeutic advancements, stroke remains a leading cause of death and long-term disability. The quality of current stroke prognostic models varies considerably, whereas prediction models of post-stroke disability and mortality are restricted by the sample size, the range of clinical and risk factors and the clinical applicability in general. Accurate prognostication can ease post-stroke discharge planning and help healthcare practitioners individualize aggressive treatment or palliative care, based on projected life expectancy and clinical course. In this study, we aimed to develop an explainable machine learning methodology to predict functional outcomes of stroke patients at discharge, using the Modified Rankin Scale (mRS) as a binary classification problem. We identified 35 parameters from the admission, the first 72 h, as well as the medical history of stroke patients, and used them to train the model. We divided the patients into two classes in two approaches: "Independent" vs. "Non-Independent" and "Non-Disability" vs. "Disability". Using various classifiers, we found that the best models in both approaches had an upward trend, with respect to the selected biomarkers, and achieved a maximum accuracy of 88.57% and 89.29%, respectively. The common features in both approaches included: age, hemispheric stroke localization, stroke localization based on blood supply, development of respiratory infection, National Institutes of Health Stroke Scale (NIHSS) upon admission and systolic blood pressure levels upon admission. Intubation and C-reactive protein (CRP) levels upon admission are additional features for the first approach and Erythrocyte Sedimentation Rate (ESR) levels upon admission for the second. Our results suggest that the said factors may be important predictors of functional outcomes in stroke patients.

Sevoflurane postconditioning ameliorates cerebral ischemia-reperfusion injury in rats via TLR4/MyD88/TRAF6 signaling pathway

To determine whether sevoflurane postconditioning protects against cerebral ischemia reperfusion (I/R) injury and its potential mechanism, we employed bioinformatic analysis, neurological assessments, and western blot analysis, as well as triphenyl tetrazolium chloride, hematoxylin and eosin, Nissl, and immunofluorescence staining. We identified 103 differentially expressed genes induced by cerebral I/R, including 75 upregulated genes and 28 downregulated genes enriched for certain biological processes (involving regulation of inflammatory responses, cellular responses to interleukin 1, and chemokine activity) and signaling pathways (such as transcriptional misregulation in cancer, interleukin-17 signaling, rheumatoid arthritis, MAPK signaling, and Toll-like receptor signaling). As a typical path in Toll-like receptor signaling pathway, in the current study, we investigated the protective effect of sevoflurane postconditioning in cerebral I/R rats and further explore the role of TLR4/MyD88/TRAF6 signaling pathway in it. The results showed cerebral I/R-induced neurological deficits were comparatively less severe following sevoflurane postconditioning. In addition, TLR4/MyD88/TRAF6 signaling pathway-related proteins and neuropathic damage were ameliorated in aged rats following sevoflurane postconditioning, while the TLR4 agonist lipopolysaccharide aggravated these changes. Together, these findings suggest that sevoflurane postconditioning ameliorates cerebral I/R injury by a mechanism involving inhibition of the TLR4/MyD88/TRAF6 signaling pathway to suppress neuroinflammatory responses.

Integrated transcriptomics and metabolomics analysis reveals that C3 and C5 are vital targets of DuZhi Wan in protecting against cerebral ischemic injury

BACKGROUND/AIMS

Duzhi Wan (DZW) has been extensively used in the prevention and treatment of ischemic stroke, but the mechanisms underlying its effects remain unclear. In this study, a combination of transcriptomics, metabolomics and network analysis was applied to identify the preventive mechanism of DZW in middle cerebral artery occlusion (MCAO)-induced ischemia/reperfusion (I/R) injury.

METHODS

The mice were divided into five groups: the sham group, I/R group, I/R + Ginaton group, I/R+DZW-L group, and I/R+DZW-H group. Neurological deficit scores and regional cerebral blood flow (rCBF), hematoxylin and eosin (H&E) and Nissl staining results were evaluated. Transcriptomics analysis and metabolomics analysis were applied to identify the key genes and metabolites, and qRT-PCR, ELISA, and immunofluorescence were applied to verify the key targets.

RESULTS

DZW significantly decreased the infarction size and neurological deficit scores, increased the rCBF percentage and neuronal number and improved neuronal morphology after MCAO. Transcriptomics and metabolomics analysis revealed that C3 and C5ar1 were core targets of DZW and indirectly regulated downstream purine metabolism, the pentose phosphate pathway, and glycerophospholipid metabolism-associated pathways via inflammatory cells. Moreover, ELISA, qRT-PCR, and immunofluorescence further confirmed that DZW significantly decreased the expression of C3, C5ar1, C5 and downstream inflammatory cytokines, including IL-6, IL-1β and MMP-9, at the gene and protein levels, suggesting that DZW decreased neuroinflammation and inhibited related metabolic pathways.

CONCLUSION

C3 and C5 play important roles in the neuroprotective and antineuroinflammatory effects of DZW in protecting against cerebral I/R. This study provides novel insights into the neuroprotective effects of DZW and its clinical application.

Microfluidic Model to Evaluate Astrocyte Activation in Penumbral Region following Ischemic Stroke

Stroke is one of the main causes of death in the US and post-stroke treatment options remain limited. Ischemic stroke is caused by a blood clot that compromises blood supply to the brain, rapidly leading to tissue death at the core of the infarcted area surrounded by a hypoxic and nutrient-starved region known as the penumbra. Recent evidence suggests that astrocytes in the penumbral region play a dual role in stroke response, promoting further neural and tissue damage or improving tissue repair depending on the microenvironment. Thus, astrocyte response in the hypoxic penumbra could promote tissue repair after stroke, salvaging neurons in the affected area and contributing to cognitive recovery. However, the complex microenvironment of ischemic stroke, characterized by gradients of hypoxia and nutrients, poses a unique challenge for traditional in vitro models, which in turn hinders the development of novel therapies. To address this challenge, we have developed a novel, polystyrene-based microfluidic device to model the necrotic and penumbral region induced by an ischemic stroke. We demonstrated that when subjected to hypoxia, and nutrient starvation, astrocytes within the penumbral region generated in the microdevice exhibited long-lasting, significantly altered signaling capacity including calcium signaling impairment.

Impairments and Compensations of Static Balance and Plantar Load Distribution in Patients With Chronic Stroke: An Observational Study

OBJECTIVES

The purpose of this study was to explore impairment and compensation characteristics of static balance and plantar load distribution in patients with chronic stroke.

METHODS

We recruited 68 patients who had chronic stroke who could stand independently (stroke group) and 30 healthy individuals (control group) with the Zebris FDM platform. Static balance parameters, including center of pressure (COP) ellipse sway area, COP path length, and angle-θ between y and major axis, were compared between 2 groups under standard standing posture. In the stroke group, balance parameters were re-tested under their preferring standing posture. Plantar load distribution was also assessed. Another 8 patients with chronic stroke who could not stand independently and had to rely on a crutch were enrolled to analyze the characteristics of balance compensation.

RESULTS

In the stroke group, the ellipse sway area, COP path length, and angle-θ were significantly larger than those of the control group. Sixty-one (89.7%) patients preferred standing with the affected foot outward-forward supporting, and their preferring standing balance was better than that of standard standing. All patients who could not stand independently tended to compensate for balance with a crutch supporting laterally and also preferred standing with a typical posture- the affected foot was outward-forward.

CONCLUSIONS

In patients post stroke, static balance is impaired mainly at the lateral direction, and patients commonly locate the crutch laterally for compensation of lateral balance. Patients preferred standing with the affected foot outward-forward supporting, and their preferring standing balance was better than that of standard standing, which challenged the necessity of training standing symmetrically.

The Role of Platelet-Selectin as a Marker of Thrombocyte Aggregation on Cerebral Sinus Venous Thrombosis

Cerebral sinus venous thrombosis (CVST) is a disease caused by occlusion of intracranial venous structures, including the cerebral sinuses, cortical veins, and the proximal jugular vein. Delay in diagnosis and therapy can lead to complications such as bleeding infarction and even death. Thrombosis that causes CVST is the process of forming a blood clot in a blood vessel. Thrombosis occurs when the balance between thrombogenic factors and the protective mechanisms of thrombogenesis is disturbed. Platelet function abnormalities in CVST cases can be in the form of impaired adhesion function, impaired release or secretion reactions, and impaired aggregation function. Dysfunction and disruption of endothelial structure due to inflammation causes platelet adhesion so that platelets stick together with collagen in endothelial cells. Platelet-selectin is a type 1 transmembrane protein in platelet granules and megakaryocytes and plays a role in mediating interactions between leukocytes and ligands that help the adhesion process of leukocytes and platelets so that they can be used as predictors of thrombosis in patients with CVST.

Premorbid frailty predicts short- and long-term outcomes of reperfusion treatment in acute stroke

BACKGROUND

Frailty is the most important short- and long-term predictor of disability in the elderly and, thus, might influence the clinical outcome of acute treatment of stroke.

OBJECTIVE

To evaluate whether frailty predicts short- and long-term all-cause mortality and neurological recovery in elderly patients who underwent reperfusion acute treatment of stroke.

METHODS

The study included consecutive patients older than 65 years who underwent reperfusion treatment in a single stroke unit from 2015 to 2016. Predictors of stroke outcomes were assessed including demographics, baseline NIHSS, time to needle, treatment and medical complications. Premorbid frailty was assessed with a comprehensive geriatric assessment including functional, nutritional, cognitive, social and comorbidities status. At three and twelve months, all-cause death and clinical recovery (using modified Rankin scale, mRS) were evaluated.

RESULTS

One-hundred and two patients who underwent acute reperfusion treatment for stroke entered the study (mean age 77.5, 65-94 years). Frailty was diagnosed in 32 out of 102 patients and associated with older age (p = 0.001) but no differences in baseline NIHSS score, vascular risk profile or treatment management strategy. Frailty status was associated with worse improvement at 24 h and higher in-hospital mortality. At follow-up, frail patients showed poorer survival at 3 (25% vs 3%, p = 0.008) and 12 (38% vs 7%, p = 0.001) months. Frailty was the best predictor of neurological recovery at one year follow-up (mRS 3.2 ± 1.9 vs 1.9 ± 1.9).

DISCUSSION

Frailty is an important predictor of efficacy of acute treatment of stroke beyond classical predictors of stroke outcomes. Larger longitudinal studies are, thus, warranted to evaluate the risk-benefit of reperfusion treatment in the growing elderly frail population.

Gait Improvement in Chronic Stroke Survivors by Using an Innovative Gait Training Machine: A Randomized Controlled Trial

Chronic stroke leads to the impairment of lower limb function and gait performance. After in-hospital rehabilitation, most individuals lack continuous gait training because of the limited number of physical therapists. This study aimed to evaluate the effects of a newly invented gait training machine (I-Walk) on lower limb function and gait performance in chronic stroke individuals. Thirty community-dwelling chronic stroke individuals were allocated to the I-Walk machine group (n = 15) or the overground gait training (control) group (n = 15). Both groups received 30 min of upper limb and hand movement and sit-to-stand training. After that, the I-Walk group received 30 min of I-Walk training, while the control followed a 30-minute overground training program. All the individuals were trained 3 days/week for 8 weeks. The primary outcome of the motor recovery of lower limb impairment was measured using the Fugl-Meyer Assessment (FMA). The secondary outcomes for gait performance were the 6-minute walk test (6 MWT), the 10-meter walk test (10 MWT), and the Timed Up and Go (TUG). The two-way mixed-model ANOVA with the Bonferroni test was used to compare means within and between groups. The post-intervention motor and sensory subscales of the FMA significantly increased compared to the baseline in both groups. Moreover, the 6 MWT and 10 MWT values also improved in both groups. In addition, the mean difference of TUG in the I-Walk was higher than the control. The efficiency of I-Walk training was comparable to overground training and might be applied for chronic stroke gait training in the community.

Cystatin C predicts the risk of incident cerebrovascular disease in the elderly: A meta-analysis on survival date studies

BACKGROUND

Stroke is the third leading cause of global year of life lost in all-age and second-ranked cause of disability adjusted life years in middle-aged and elder population. Therefore, it is critical to study the relationship between vascular-related risk factors and cerebrovascular diseases. Several cross-sectional studies have shown that Cystatin C (Cys C) is an independent risk factor for cerebrovascular diseases and levels of Cys C are significantly higher in stroke patients than in healthy individuals. In this meta-analysis, we introduce a Cox proportional hazards model to evaluate the causality between Cys C and the risk of cerebrovascular accident in the elderly.

METHODS

We searched PubMed, EMBASE, the Web of Science, and the Cochrane Library from 1985 to 2019 for studies on the relationship between serum Cys C and incidence stroke with Cox proportional hazards models. We conducted a subgroup analysis of the selected studies to determine a connection between atherosclerosis and stroke. Finally, 7 research studies, including 26,768 patients without a history of cerebrovascular, were studied.

RESULTS

After comparing the maximum and minimum Cys C levels, the hazard ratio for all types of stroke, including ischemic and hemorrhagic stroke, was 1.18 (95% confidence interval 1.04-1.31) with moderate heterogeneity (I2 = 43.0%; P = .119) in a fixed-effect model after pooled adjustment for other potential risk factors. In the subgroup analysis, the hazard ratio and 95% confidence interval for Cys C stratified by atherosclerosis was 1.85 (0.97-2.72). As shown in Egger linear regression test, there was no distinct publication bias (P = .153).

CONCLUSION

Increased serum Cys C is significantly associated with future stroke events in the elderly, especially in patients with carotid atherosclerosis. Thus, serum levels of Cys C could serve as a predicted biomarker for stroke attack.

The Impact of Age on Mortality and Disability in Patients With Ischemic Stroke Who Underwent Cerebral Reperfusion Therapy: A Brazilian Cohort Study

Introduction: The main driver for increased stroke prevalence is the aging of the population; however, the best evidenced-based strategies for stroke treatment and prevention are not always followed for older patients. Therefore, the aim was studying the association of age with clinical outcomes (mortality and functional disability) in stroke patients who underwent cerebral reperfusion therapy at hospital discharge and 90 days after ictus.

Methods: This was a retrospective (stroke databank analysis) cohort study of participants who had been diagnosed with ischemic stroke and undergone intravenous cerebral reperfusion therapy or mechanical thrombectomy. The variable of interest was patient age, which was categorized into four groups: (1) up to 59 years; (2) 60 to 69 years; (3) 70 to 79 years old; and (4) above 79 years. The primary outcome was mortality at hospital discharge and 90 days after stroke, and the secondary outcome was functional capacity at hospital discharge and 90 days after stroke.

Results: A total of 281 patients was included in the study (235 treated by thrombolysis alone, and 46 treated with mechanical thrombectomy). The mean age of the total sample was 67 ± 13.1 years. The oldest patients had the most unfavorable outcomes, except for mortality rate, at hospital discharge (mRS > 2; OR: 1.028; 95% CI 1.005 to 1.051; p = 0.017; mRS > 3; OR: 1.043, 95% CI 1.018 to 1.069; p = 0.001) and 90 days after stroke (mRS > 2; OR: 1.028; 95% CI 1.005 to 1.051; p = 0.017; mRS > 3; OR: 1.043, 95% CI 1.018 to 1.069; p = 0.001).

Conclusion: Cerebral reperfusion was a viable treatment for ischemic stroke in both elderly and very elderly patients, as it did not increase mortality. However, it was observed that older individuals had worse functional outcomes at hospital discharge and 90 days after stroke.

Differences in the prevention and control of cardiovascular and cerebrovascular diseases

At present, the prevention and control of cardiovascular diseases (CAVDs) has made initial advancements, although the prevention and control of cerebrovascular diseases (CEVDs) has not yet achieved the desired progress. In this paper, we review the prevention and control of CEVDs and CAVDs, and analyze the differences in prevention effects, and the pathological and physiological structures pertaining to CEVDs and CAVDs. Combined with the different effects of low-dose aspirin in the primary prevention of CEVDs and CAVDs by meta-analysis, aspirin plays a more important role in the primary prevention of CAVDs than CEVDs. We recognize the misunderstandings and blind spots concerning prevention and control of CEVDs, which can be summarized as follows: (1) CEVDs and CAVDs can be controlled by the same methods and drugs; (2) considering the same pathological factors for cardiovascular diseases; (3) a lack of understanding of the particularity of CEVDs; (4) a focus on platelets and neglect of cerebrovascular protection. In summary, our research clarifies the differences in the prevention measures and drugs used for CEVDs and CAVDs. Of particular concern is the serious lack of preventive drugs for CEVDs in clinical use. An ideal drug for the prevention of CEVDs should have protective effects on the blood, the vascular endothelium, the blood-brain barrier (BBB), and other related factors. Our review aims to highlight several issues in the current prevention of CEVDs and CAVDs, and to provide an optimized plan for preventive drug discovery.

Predictive Performance of a Polygenic Risk Score for Incident Ischemic Stroke in a Healthy Older Population

[Figure: see text].

Ischemic Stroke in the Very Elderly: Experience from an Italian Stroke Unit Hub Over a Period of 8 Years in the Era of Thrombectomy

OBJECTIVE

The goal of this study is to understand how very elderly patients (VEP) after ischemic stroke are currently treated in a Stroke Unit (SU) Hub in Italy. We designed a retrospective monocentric study on patients admitted in the SU of "AO San Camillo Forlanini" over an 8-year period.

MATERIAL AND METHODS

Data were collected among patients with acute ischemic stroke admitted to SU between January 2012 and December 2019. Patients were divided into three sub-groups: Adults (18-65 years); Elderly (66-85 years); and VEP (>85 years). Vascular risk factors and clinical variables as predictors of short-term clinical outcome were compared among age groups.

RESULTS

A total of 1979 patients were enrolled, 254 were VEP (12.8%). The proportion of VEP showed no significant modifications during the 8-year period (11.9% in 2012-2015 and 13.7% in 2016-2019; p=0.93). The proportion of women, hypertension and atrial fibrillation was significantly higher in VEP compared to other age groups (p<0.001). The rate of VEP being treated with rt-PA increased from 2012-2015 to 2016-2019 (from 12.8% to 25.5%, p<0.001). Endovascular thrombectomy was rarely performed in VEP (1.5% of VEP). Rt-PA treatment was associated with favorable outcome for all three age groups (p<0.05).

CONCLUSIONS

We showed that VEP present different vascular risk factor profiles, clinical features, and prognostic elements for short-term stroke outcome. Future studies will reveal whether we will observe an increasing trend in the use of rt-PA and endovascular thrombectomy and whether it will result in improved functional outcome for VEP.