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Quantile Regression Forests to Identify Determinants of Neighborhood Stroke Prevalence in 500 Cities in the USA: Implications for Neighborhoods with High Prevalence
AbstractStroke exerts a massive burden on the US health and economy. Place-based evidence is increasingly recognized as a critical part of stroke management, but identifying the key determinants of neighborhood stroke prevalence and the underlying effect mechanisms is a topic that has been treated sparingly in the literature. We aim to fill in the research gaps with a study focusing on urban health. We develop and apply analytical approaches to address two challenges. First, domain expertise on drivers of neighborhood-level stroke outcomes is limited. Second, commonly used linear regression methods may provide incomplete a...
Source: Journal of Urban Health - September 3, 2020 Category: Health Management Source Type: research

Recovery after stroke: perspectives of young stroke survivors in Taiwan.
CONCLUSION: These findings provide useful insights for rehabilitation clinicians to develop culturally tailored interventions to improve poststroke recovery outcomes in young stroke survivors. Implications for rehabilitation Rehabilitation clinicians should understand stroke survivors' beliefs and goals of recovery to provide tailored services. Optimizing the goal-setting process and patient-provider communication may help clinicians and survivors examine and adjust their expectations toward recovery during rehabilitation. Interventions will be needed to address personal and environmental supports and barriers, such as mot...
Source: Disability and Rehabilitation - September 14, 2020 Category: Rehabilitation Authors: Chang FH, Lin YN, Liou TH Tags: Disabil Rehabil Source Type: research

Frontal Cortex Stroke-induced Impairment in Spatial Working Memory on the Trial-unique Nonmatching-to-location Task in Mice.
This study reveals a stroke-induced impairment in mice completing the TUNL task. Our findings also demonstrate a significant loss of thalamo-PFC connections and a correlation between white matter reactive astrogliosis and cognitive impairment. Future experiments will investigate therapeutic interventions in the hope of promoting functional improvement in cognition. PMID: 33276070 [PubMed - as supplied by publisher]
Source: Neurobiology of Learning and Memory - December 1, 2020 Category: Neurology Authors: Houlton J, Barwick D, Clarkson AN Tags: Neurobiol Learn Mem Source Type: research

Preliminary development of a prediction model for daily stroke occurrences based on meteorological and calendar information using deep learning framework (Prediction One; Sony Network Communications Inc., Japan).
Conclusion: Our preliminary results suggested a probability of the DL-based prediction models for stroke occurrence only by meteorological and calendar factors. In the future, by synchronizing a variety of medical information among the electronic medical records and personal smartphones as well as integrating the physical activities or meteorological conditions in real time, the prediction of stroke occurrence could be performed with high accuracy, to save medical resources, to have patients care for themselves, and to perform efficient medicine. PMID: 33598347 [PubMed]
Source: Surgical Neurology International - February 21, 2021 Category: Neurosurgery Tags: Surg Neurol Int Source Type: research

Exploring How Low Oxygen Post Conditioning Improves Stroke-Induced Cognitive Impairment: A Consideration of Amyloid-Beta Loading and Other Mechanisms
Cognitive impairment is a common and disruptive outcome for stroke survivors, which is recognized to be notoriously difficult to treat. Previously, we have shown that low oxygen post-conditioning (LOPC) improves motor function and limits secondary neuronal loss in the thalamus after experimental stroke. There is also emerging evidence that LOPC may improve cognitive function post-stroke. In the current study we aimed to explore how exposure to LOPC may improve cognition post-stroke. Experimental stroke was induced using photothrombotic occlusion in adult, male C57BL/6 mice. At 72 h post-stroke animals were randomly assigne...
Source: Frontiers in Neurology - March 24, 2021 Category: Neurology Source Type: research

IJERPH, Vol. 18, Pages 6500: Free Fatty Acids Are Associated with the Cognitive Functions in Stroke Survivors
ta Szczuko Ischemic stroke is a leading cause of motor impairment and psychosocial disability. Although free fatty acids (FFA) have been proven to affect the risk of stroke and potentially dementia, the evidence of their impact on cognitive functions in stroke patients is lacking. We aimed to establish such potential relationships. Seventy-two ischemic stroke patients were prospectively analysed. Their cognitive functions were assessed seven days post-stroke and six months later as follow-up (n = 41). Seven days post-stroke analysis of serum FFAs levels showed direct correlations between Cognitive Verbal Learning Test ...
Source: International Journal of Environmental Research and Public Health - June 16, 2021 Category: Environmental Health Authors: Dariusz Kotl ęga Barbara Peda Joanna Palma Agnieszka Zembro ń-Łacny Monika Go łąb-Janowska Marta Masztalewicz Przemys ław Nowacki Ma łgorzata Szczuko Tags: Article Source Type: research

Sensors, Vol. 21, Pages 5334: Prediction of Myoelectric Biomarkers in Post-Stroke Gait
This study aimed to evaluate the potential myoelectric biomarkers for the classification of stroke-impaired muscular activity of the stroke patient group and the muscular activity of the control healthy adult group. We also proposed an EMG-based gait monitoring system consisting of a portable EMG device, cloud-based data processing, data analytics, and a health advisor service. This system was investigated with 48 stroke patients (mean age 70.6 years, 65% male) admitted into the emergency unit of a hospital and 75 healthy elderly volunteers (mean age 76.3 years, 32% male). EMG was recorded during walking using the portable...
Source: Sensors - August 7, 2021 Category: Biotechnology Authors: Iqram Hussain Se-Jin Park Tags: Article Source Type: research

Application of Machine Learning Techniques to Identify Data Reliability and Factors Affecting Outcome After Stroke Using Electronic Administrative Records
Conclusion: Electronic administrative records from this cohort produced reliable outcome prediction and identified clinically appropriate factors negatively impacting most outcome variables following hospital admission with stroke. This presents a means of future identification of modifiable factors associated with patient discharge destination. This may potentially aid in patient selection for certain interventions and aid in better patient and clinician education regarding expected discharge outcomes.
Source: Frontiers in Neurology - September 27, 2021 Category: Neurology Source Type: research

Machine Learning Techniques in Blood Pressure Management During the Acute Phase of Ischemic Stroke
ConclusionThis is the first study to address BP management in the acute phase of ischemic stroke using ML techniques. The results indicate that the treatment choice should be adjusted to different clinical and BP parameters, thus, providing a better decision-making approach.
Source: Frontiers in Neurology - February 14, 2022 Category: Neurology Source Type: research

Hospital Length of Stay and 30-Day Mortality Prediction in Stroke: A Machine Learning Analysis of 17,000 ICU Admissions in Brazil
ConclusionsHospital length of stay and 30-day mortality of patients admitted to the ICU with stroke were accurately predicted through machine learning methods, even in the absence of stroke-specific data, such as the National Institutes of Health Stroke Scale score or neuroimaging findings. The proposed methods using general intensive care databases may be used for resource use allocation planning and performance assessment of ICUs treating stroke. More detailed acute neurological and management data, as well as long-term functional outcomes, may improve the accuracy and applicability of future machine-learning-based prediction algorithms.
Source: Neurocritical Care - April 6, 2022 Category: Neurology Source Type: research

“I Give It Everything for an Hour Then I Sleep for Four.” The Experience of Post-stroke Fatigue During Outpatient Rehabilitation Including the Perspectives of Carers: A Qualitative Study
ConclusionDespite engaging in outpatient rehabilitation, stroke survivors largely learnt to manage fatigue independent of healthcare professionals. Carers often facilitated learning, monitoring rehabilitation, daily routines and fatigue exacerbation. Conversely, family could be dismissive of fatigue and possess unrealistic expectations. Post-stroke fatigue must be considered by clinicians when delivering outpatient rehabilitation to stroke survivors. Clinicians should consistently screen for fatigue, provide flexible session scheduling, and educate about individual indicators and strategies for management. Clinicians shoul...
Source: Frontiers in Neurology - June 2, 2022 Category: Neurology Source Type: research

Effects of Cerebellar Transcranial Direct Current Stimulation in Patients with Stroke: a Systematic Review
ConclusionsctDCS appears to improve poststroke language and motor dysfunction (particularly gait). However, the evidence for these results was insufficient, and the quality of the relevant studies was low. ctDCS stimulation parameters and individual factors of participants may affect the therapeutic effect of ctDCS. Researchers need to take a more regulated approach in the future to conduct studies with large sample sizes. Overall, ctDCS remains a promising stroke intervention technique that could be used in the future.
Source: The Cerebellum - August 27, 2022 Category: Neurology Source Type: research