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Predictors of Function, Activity, and Participation of Stroke Patients Undergoing Intensive Rehabilitation: A Multicenter Prospective Observational Study Protocol
Discussion: By identifying data-driven prognosis prediction models in stroke rehabilitation, this study might contribute to the development of patient-oriented therapy and to optimize rehabilitation outcomes.Clinical Trial Registration:ClinicalTrials.gov, NCT03968627. https://www.clinicaltrials.gov/ct2/show/NCT03968627?term=Cecchi&cond=Stroke&draw=2&rank=2.
Source: Frontiers in Neurology - April 8, 2021 Category: Neurology Source Type: research

Stroke risk prediction using machine learning: a prospective cohort study of 0.5 million Chinese adults
ConclusionAmong several approaches, an ensemble model combining both GBT and Cox models achieved the best performance for identifying individuals at high risk of stroke in a contemporary study of Chinese adults. The results highlight the potential value of expanding the use of ML in clinical practice.
Source: Journal of the American Medical Informatics Association - May 9, 2021 Category: Information Technology Source Type: research

Stroke care in Italy at the time of the COVID-19 pandemic: a lesson to learn
AbstractFrom March to May 2020, the Italian health care system, as many others, was almost entirely devoted to the fight against the COVID-19 pandemic. In this context, a number of questions arose, from the increased stroke risk due to COVID-19 infection to the quality of stroke patient care. The overwhelming need of COVID-19 patient management made mandatory a complete re-organization of the stroke pathways: many health professionals were reallocated and a number of stroke units was turned into COVID-19 wards. As a result, acute stroke care suffered from a shortage of services and delays in time-dependent treatments and d...
Source: Journal of Neurology - June 21, 2021 Category: Neurology Source Type: research

Sensors, Vol. 21, Pages 4269: Deep Learning-Based Stroke Disease Prediction System Using Real-Time Bio Signals
Jae-Hak Yu The emergence of an aging society is inevitable due to the continued increases in life expectancy and decreases in birth rate. These social changes require new smart healthcare services for use in daily life, and covid-19 has also led to a contactless trend necessitating more non-face-to-face health services. Due to the improvements that have been achieved in healthcare technologies, an increasing number of studies have attempted to predict and analyze certain diseases in advance. Research on stroke diseases is actively underway, particularly with the aging population. Stroke, which is fatal to the elderl...
Source: Sensors - June 22, 2021 Category: Biotechnology Authors: Yoon-A Choi Se-Jin Park Jong-Arm Jun Cheol-Sig Pyo Kang-Hee Cho Han-Sung Lee Jae-Hak Yu Tags: Article Source Type: research

Patients' and therapists' experience and perception of exoskeleton-based physiotherapy during subacute stroke rehabilitation: a qualitative analysis
CONCLUSIONS: Patients with stroke were even more optimistic than therapists toward the experience and benefits of exoskeleton-based gait training during subacute stroke rehabilitation. Future clinical practice should consider the balance between actual and perceived benefits, as well as the potential barriers to integrating an exoskeleton into stroke rehabilitation.IMPLICATIONS FOR REHABILITATIONPowered robotic exoskeletons can be used to provide higher duration and more repetitious walking practice for non-ambulatory patients with stroke.Patients with stroke view exoskeleton-based physiotherapy highly favorably, attributi...
Source: Disability and Rehabilitation - October 25, 2021 Category: Rehabilitation Authors: Dennis R Louie W Ben Mortenson Michelle Lui Melanie Durocher Robert Teasell Jennifer Yao Janice J Eng Source Type: research

Exploring the experiences of stroke survivors, informal caregivers and healthcare providers in Sierra Leone: a qualitative study protocol
This study has received ethical approval from the Sierra Leone Ethics and Scientific Review Committee (8 December 2020) and the KCL Biomedical & Health Sciences, Dentistry, Medicine and Natural & Mathematical Sciences Research Ethics Subcommittee (reference: HR-20/21-21050). The findings of the study and learning in terms of the process of coproduction and involvement of stroke survivors will be disseminated via peer-reviewed publications, conferences, media and lay reports.
Source: BMJ Open - December 30, 2021 Category: General Medicine Authors: O'Hara, J., Thompson, M., Deen, G., Leather, A. J. M., Youkee, D., Wall, J., Sackley, C., Parmar, D., McKevitt, C., NIHR Global Health Research Group at Kings College London, Wolfe, Langhorne, Lisk, Deen, McKevitt, Watkins, Leather, Prince, Youkee, Wang, Tags: Open access, Qualitative research Source Type: research

Improved stroke care in a primary stroke centre using AI-decision support
Conclusions Use of artificial intelligence decision support in a hyperacute stroke pathway facilitates decision-making and can improve rate and time of reperfusion therapies in a hub-and-spoke system of care.
Source: Cerebrovascular Diseases Extra - February 8, 2022 Category: Neurology Source Type: research

Cardiovascular/Stroke Risk Assessment in Patients with Erectile Dysfunction-A Role of Carotid Wall Arterial Imaging and Plaque Tissue Characterization Using Artificial Intelligence Paradigm: A Narrative Review
Diagnostics (Basel). 2022 May 17;12(5):1249. doi: 10.3390/diagnostics12051249.ABSTRACTPURPOSE: The role of erectile dysfunction (ED) has recently shown an association with the risk of stroke and coronary heart disease (CHD) via the atherosclerotic pathway. Cardiovascular disease (CVD)/stroke risk has been widely understood with the help of carotid artery disease (CTAD), a surrogate biomarker for CHD. The proposed study emphasizes artificial intelligence-based frameworks such as machine learning (ML) and deep learning (DL) that can accurately predict the severity of CVD/stroke risk using carotid wall arterial imaging in ED ...
Source: Atherosclerosis - May 28, 2022 Category: Cardiology Authors: Narendra N Khanna Mahesh Maindarkar Ajit Saxena Puneet Ahluwalia Sudip Paul Saurabh K Srivastava Elisa Cuadrado-Godia Aditya Sharma Tomaz Omerzu Luca Saba Sophie Mavrogeni Monika Turk John R Laird George D Kitas Mostafa Fatemi Al Baha Barqawi Martin Miner Source Type: research

Quantitative CTA vascular calcification, atherosclerosis burden, and stroke mechanism in patients with ischemic stroke
CONCLUSION: Atherosclerosis calcium volumes in major vessels were significantly higher in LAA compared to non-LAA stroke in younger age.PMID:37148773 | DOI:10.1016/j.jns.2023.120667
Source: Atherosclerosis - May 6, 2023 Category: Cardiology Authors: Takashi Shimoyama Sibaji Gaj Kunio Nakamura Shivakrishna Kovi Shumei Man Ken Uchino Source Type: research

Introducing Cochrane Heart, Stroke and Circulation
Stroke, heart disease, hypertension and peripheral vascular diseases are leading global causes of mortality and morbidity.  As the population ages and these conditions become more common in low-income countries, the need for an integrated response has become increasingly clear.The newHeart, Stroke and Circulation Thematic Groupaims to bring together experts from across all four topics to foster collaboration between researchers in different fields while providing comprehensive reviews on cutting-edge topics related to stroke, heart disease, hypertension, and peripheral vascular diseases.  A collaborative effortThrough th...
Source: Cochrane News and Events - May 10, 2023 Category: Information Technology Authors: Muriah Umoquit Source Type: news

Identification of a miRNA –mRNA regulatory network for post-stroke depression: a machine-learning approach
ConclusionThe study highlighted gene signatures for PSD with three genes (SPATA2, ZNF208, and YTHDC1) and four upstream miRNAs (miR-6883-5p, miR-6873-3p, miR-4776-3p, and miR-6738-3p). These biomarkers could further our understanding of the pathogenesis of PSD.
Source: Frontiers in Neurology - July 17, 2023 Category: Neurology Source Type: research