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Community-Based Stroke Recognition Education and Response: An Evidence-Based Intervention Project.
CONCLUSIONS: FAST was simple to teach and engaging for participants. Using the FAST curriculum in senior center populations increased the participants' awareness of stroke signs and symptoms, and their willingness to activate the 911 emergency system. IMPLICATIONS FOR PRACTICE: Educational interventions in the community with older adults can produce increased awareness of stroke symptoms and willingness to respond when necessary. PMID: 30567968 [PubMed - in process]
Source: Creative Nursing - November 1, 2018 Category: Nursing Authors: Sposito J, Zipf A, Alhowaymel F, Almutairi MT, Breda K Tags: Creat Nurs Source Type: research

When Time Is Critical: How Involving Frontline Health Workers Can Improve Stroke Survival Rates
By Carmen Graffagnino, Neurologist, Duke Hospital ; Nilima Mehta , Philanthropy program manager, Medtronic Foundation ; Anne Katharine Wales, Senior philanthropy portfolio lead, Medtronic FoundationApril 09, 2019Here are three ways to change a system of acute care.April 10 started as an ordinary day for Sarah. But while eating breakfast, her husband noticed that her face had started to droop and she was unable to find her words. Immediately he called 911.Within 10 minutes, the ambulance arrived with emergency medical services (EMS), a segment of the local health system that recently became partners in a new regional ...
Source: IntraHealth International - April 9, 2019 Category: International Medicine & Public Health Authors: mnathe Tags: Noncommunicable Diseases Education & Performance Private-Sector Approaches SwitchPoint Health Workforce Systems USA Source Type: news

Aura and Stroke: relationship and what we have learnt from preclinical models
ConclusionPreclinical models suggest a key role for enhanced SD susceptibility and microembolization to explain both the occurrence of migraine attacks and the increased stroke risk in migraineurs. Therapeutic targeting of SD and microembolic events, or potential causes thereof, will be promising for treatment of aura and may also prevent ischemic infarction in vulnerable brains.
Source: The Journal of Headache and Pain - May 28, 2019 Category: Neurology Source Type: research

Expression of Cytokines and Chemokines as Predictors of Stroke Outcomes in Acute Ischemic Stroke
Conclusions: Machine learning algorithms can be employed to develop prognostic predictive biomarkers for stroke outcomes in ischemic stroke patients, particularly in regard to identifying acute gene expression changes that occur during stroke.
Source: Frontiers in Neurology - January 14, 2020 Category: Neurology Source Type: research

IJERPH, Vol. 17, Pages 1828: Stroke Prediction with Machine Learning Methods among Older Chinese
ang Timely stroke diagnosis and intervention are necessary considering its high prevalence. Previous studies have mainly focused on stroke prediction with balanced data. Thus, this study aimed to develop machine learning models for predicting stroke with imbalanced data in an elderly population in China. Data were obtained from a prospective cohort that included 1131 participants (56 stroke patients and 1075 non-stroke participants) in 2012 and 2014, respectively. Data balancing techniques including random over-sampling (ROS), random under-sampling (RUS), and synthetic minority over-sampling technique (SMOTE) were used...
Source: International Journal of Environmental Research and Public Health - March 11, 2020 Category: Environmental Health Authors: Yafei Wu Ya Fang Tags: Article Source Type: research

AIM2 inflammasome contributes to brain injury and chronic post-stroke cognitive impairment in mice.
Abstract Although over one-third of stroke patients may develop post-stroke cognitive impairment (PSCI), the mechanisms underlying PSCI remain unclear. We explored here, the involvement of post-stroke inflammasomes in long-term PSCI development, using a 45 min-middle cerebral artery occlusion (MCAO)/reperfusion-induced PSCI model. Immunohistological assessment on day 1, 3, and 7 was followed by cognitive function test 28 days post-stroke. Evaluation of inflammasome sensor gene expression in aged mouse brains showed dominant expression of absent in melanoma 2 (Aim2) in 6-, 12-, and 18-month-old mouse brains. AIM2 m...
Source: Brain, Behavior, and Immunity - March 18, 2020 Category: Neurology Authors: Kim H, Seo JS, Lee SY, Ha KT, Choi BT, Shin YI, Ju Yun Y, Shin HK Tags: Brain Behav Immun Source Type: research

Coagulopathy signature precedes and predicts severity of end-organ heat stroke pathology in a mouse model.
CONCLUSIONS: Heat stroke-induced coagulopathy may be a driving mechanistic force in heat stroke pathology, especially when exacerbated by prior infection. Coagulation markers may serve as accessible biomarkers for heat stroke severity and therapeutic strategies. PMID: 32367690 [PubMed - as supplied by publisher]
Source: Thrombosis and Haemostasis - May 3, 2020 Category: Hematology Authors: Proctor EA, Dineen SM, Van Nostrand SC, Kuhn MK, Barrett CD, Brubaker DK, Yaffe MB, Lauffenburger DA, Leon LR Tags: J Thromb Haemost Source Type: research

Sensors, Vol. 21, Pages 7784: Detection of Unilateral Arm Paresis after Stroke by Wearable Accelerometers and Machine Learning
alle Åström Recent advances in stroke treatment have provided effective tools to successfully treat ischemic stroke, but still a majority of patients are not treated due to late arrival to hospital. With modern stroke treatment, earlier arrival would greatly improve the overall treatment results. This prospective study was performed to asses the capability of bilateral accelerometers worn in bracelets 24/7 to detect unilateral arm paralysis, a hallmark symptom of stroke, early enough to receive treatment. Classical machine learning algorithms as well as state-of-the-art deep neural networks were evaluated on detectio...
Source: Sensors - November 23, 2021 Category: Biotechnology Authors: Johan Wasselius Eric Lyckeg ård Finn Emma Persson Petter Ericson Christina Brog årdh Arne G. Lindgren Teresa Ullberg Kalle Åström Tags: Article Source Type: research

Prediction-Driven Decision Support for Patients With Mild Stroke: A Model Based on Machine Learning Algorithms
Conclusions: DAMS and R-DAMS, as prediction-driven decision support tools, were designed to aid clinical decision-making for mild stroke patients in emergency contexts. In addition, even within a narrow range of baseline scores, NIHSS on admission is the strongest feature that contributed to the prediction.
Source: Frontiers in Neurology - December 23, 2021 Category: Neurology Source Type: research

The development of a self-management intervention for stroke survivors - My Life After Stroke (MLAS)
CONCLUSIONS: MLAS warrants evaluation in a feasibility study.Implications for rehabilitationMy Life After Stroke(MLAS) has been developed using a systematic process, to address the unmet needs of stroke survivors.This systematic process, involved utilising evidence, theories, patient and public involvement, expertise and guidelines from other long-term conditions. This may further help the development of similar self-management programme within the field of stroke.MLAS warrants further evaluation within a feasibility study.PMID:35112969 | DOI:10.1080/09638288.2022.2029959
Source: Disability and Rehabilitation - February 3, 2022 Category: Rehabilitation Authors: Vicki L Johnson Lindsay Apps Michelle Hadjiconstantinou Marian E Carey Elizabeth Kreit Ricky Mullis Jonathan Mant Melanie J Davies MLAS Development Group Source Type: research

Enhancing the role of the social network in activity (re)engagement post-stroke: a focus group study with rehabilitation professionals
CONCLUSIONS: Strategies to involve the social network of people post-stroke are not fully implemented. Although identifying members of a social network should begin during inpatient rehabilitation, the main part of actively engaging the network will have to take place when the people post-stroke return home. Implementing social network strategies requires a systematic process focusing on collaboration, knowledge, attitude, and skill development.PMID:36397003 | DOI:10.1186/s12875-022-01897-3
Source: Primary Care - November 18, 2022 Category: Primary Care Authors: Dinja J van der Veen Sandra Jellema Philip J van der Wees Maud J L Graff Bert J M de Swart Esther M J Steultjens Source Type: research

Artificial intelligence-based preventive, personalized and precision medicine for cardiovascular disease/stroke risk assessment in rheumatoid arthritis patients: a narrative review
Rheumatol Int. 2023 Aug 30. doi: 10.1007/s00296-023-05415-1. Online ahead of print.ABSTRACTThe challenges associated with diagnosing and treating cardiovascular disease (CVD)/Stroke in Rheumatoid arthritis (RA) arise from the delayed onset of symptoms. Existing clinical risk scores are inadequate in predicting cardiac events, and conventional risk factors alone do not accurately classify many individuals at risk. Several CVD biomarkers consider the multiple pathways involved in the development of atherosclerosis, which is the primary cause of CVD/Stroke in RA. To enhance the accuracy of CVD/Stroke risk assessment in the RA...
Source: Atherosclerosis - August 30, 2023 Category: Cardiology Authors: Mustafa Al-Maini Mahesh Maindarkar George D Kitas Narendra N Khanna Durga Prasanna Misra Amer M Johri Laura Mantella Vikas Agarwal Aman Sharma Inder M Singh George Tsoulfas John R Laird Gavino Faa Jagjit Teji Monika Turk Klaudija Viskovic Zoltan Ruzsa Sop Source Type: research