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Condition: Hemorrhagic Stroke
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Total 196 results found since Jan 2013.

Machine learning based reanalysis of clinical scores for distinguishing between ischemic and hemorrhagic stroke in low resource setting
Identifying ischemic or hemorrhagic strokes clinically may help in situations where neuroimaging is unavailable to provide primary-care prior to referring to stroke-ready facility. Stroke classification-based solely on clinical scores faces two unresolved issues. One pertains to overestimation of score performance, while other is biased performance due to class-imbalance inherent in stroke datasets. After correcting the issues using Machine Learning theory, we quantitatively compared existing scores to study the capabilities of clinical attributes for stroke classification.
Source: Journal of Stroke and Cerebrovascular Diseases - August 1, 2022 Category: Neurology Authors: Aman Bhardwaj, MV Padma Srivastava, Pulikottil Vinny Wilson, Amit Mehndiratta, Venugopalan Y Vishnu, Rahul Garg Source Type: research

Development of Machine Learning Models to Predict Probabilities and Types of Stroke at Prehospital Stage: the Japan Urgent Stroke Triage Score Using Machine Learning (JUST-ML)
AbstractIn conjunction with recent advancements in machine learning (ML), such technologies have been applied in various fields owing to their high predictive performance. We tried to develop prehospital stroke scale with ML. We conducted multi-center retrospective and prospective cohort study. The training cohort had eight centers in Japan from June 2015 to March 2018, and the test cohort had 13 centers from April 2019 to March 2020. We use the three different ML algorithms (logistic regression, random forests, XGBoost) to develop models. Main outcomes were large vessel occlusion (LVO), intracranial hemorrhage (ICH), suba...
Source: Translational Stroke Research - August 14, 2021 Category: Neurology Source Type: research

Stroke Heroes 2016
The American Heart Association/American Stroke Association's Puget Sound Division, along with our sponsor Medtronic, congratulates the honorees for this year's Stroke Hero Awards. We had amazing stories sent to us. Thank you to all of you who submitted a nomination. Here are some of the inspiring individuals honored this year as a Stroke Hero. AMY MOORE, Stroke Survivor Amy is described as a truly an inspiring person who has never let her stroke stop her from accomplishing her goals. Her stroke was diagnosed at six months of age and left her legally blind. Amy learned Braille during her first two years of high school an...
Source: Healthy Living - The Huffington Post - July 12, 2016 Category: Consumer Health News Source Type: news

What Are the Classifications of Perinatal Stroke?
Discussion Perinatal stroke occurs in about 1:1000 live births and is a “focal vascular injury from the fetal period to 28 days postnatal age.” Perinatal stroke is the most common cause of hemiparetic cerebral palsy and causes other significant morbidity including cognitive deficits, learning disabilities, motor problems, sensory problems including visual and hearing disorders, epilepsy, and behavioral and psychological problems. Family members are also affected because of the potential anxiety and guilt feelings that having a child with a stroke presents, along with the care that may be needed over the child&#...
Source: PediatricEducation.org - May 1, 2023 Category: Pediatrics Authors: Pediatric Education Tags: Uncategorized Source Type: news

'Safe' stem cell therapy may help stroke recovery
Conclusion This study provides evidence that a new technique using a patient's own stem cells to aid the recovery from severe ischaemic stoke is feasible and appears to be safe. It was not designed to test whether the technique was better than doing nothing or better than other types of care or treatment. The authors are perfectly clear that this "proof-of-concept study was not designed with a control group or powered to be able to detect efficacy". This means we cannot be sure that the improvements seen in the five patients were caused by the stem cell treatment. They could have occurred anyway as part of the na...
Source: NHS News Feed - August 11, 2014 Category: Consumer Health News Tags: Genetics/stem cells Heart/lungs Source Type: news

Evaluation and Acute Management of Ischemic Stroke in Infants and Children
This article provides an overview of stroke in neonates, infants, and children.RECENT FINDINGSArterial ischemic stroke and cerebral venous sinus thrombosis are increasingly recognized in childhood as important causes of lifelong morbidity and mortality. Diagnosis of arterial ischemic stroke is frequently delayed, as acute neurologic deficits can be challenging to detect in the young child, and stroke is often not considered in the differential diagnosis. Neurologic sequelae following stroke are common, and strategies to minimize stroke size and optimize recovery are being developed. Recurrent arterial ischemic stroke is no...
Source: CONTINUUM: Lifelong Learning in Neurology - February 1, 2018 Category: Neurology Tags: Review Articles Source Type: research

Ischemic stroke of unclear aetiology: a case-by-case analysis and call for a multi-professional predictive, preventive and personalised approach
AbstractDue to the reactive medical approach applied to disease management, stroke has reached an epidemic scale worldwide. In 2019, the global stroke prevalence was 101.5 million people, wherefrom 77.2 million (about 76%) suffered from ischemic stroke; 20.7 and 8.4 million suffered from intracerebral and subarachnoid haemorrhage, respectively. Globally in the year 2019 — 3.3, 2.9 and 0.4 million individuals died of ischemic stroke, intracerebral and subarachnoid haemorrhage, respectively. During the last three decades, the absolute number of cases increased substantially. The current prevalence of stroke is 110 million ...
Source: EPMA Journal - November 17, 2022 Category: International Medicine & Public Health Source Type: research

Quality Improvement in Acute Ischemic Stroke Care in Taiwan: The Breakthrough Collaborative in Stroke
by Fang-I Hsieh, Jiann-Shing Jeng, Chang-Ming Chern, Tsong-Hai Lee, Sung-Chun Tang, Li-Kai Tsai, Hsun-Hsiang Liao, Hang Chang, Kenneth A. LaBresh, Hung-Jung Lin, Hung-Yi Chiou, Hou-Chang Chiu, Li-Ming Lien, for the BTS-Stroke Investigators In the management of acute ischemic stroke, guideline adherence is often suboptimal, particularly for intravenous thrombolysis or anticoagulation for atrial fibrillation. We sought to improve stroke care quality via a collaborative model, the Breakthrough Series (BTS)-Stroke activity, in a nationw ide, multi-center activity in Taiwan. A BTS Collaborative, a short-term learning system fo...
Source: PLoS One - August 2, 2016 Category: Biomedical Science Authors: Fang-I Hsieh Source Type: research

Ischemic and haemorrhagic stroke risk estimation using a machine-learning-based retinal image analysis
ConclusionA fast and fully automatic method can be used for stroke subtype risk assessment and classification based on fundus photographs alone.
Source: Frontiers in Neurology - August 22, 2022 Category: Neurology Source Type: research

Increased Risk of Stroke Linked to Stress at Home, Work
Experiencing multiple stressful events or chronic stress at home or at work over the course of a year raises the risk of several types of stroke, astudy published today inJAMA Network Open has found. However, the study also suggests that having a greater sense of control over the situations and experiences that affect one ’s life—a greater locus of control—may help counter the impact of stress on stroke risk.Catriona Reddin, M.B., of the University of Galway in Ireland and colleagues analyzed data from 26,812 participants in the INTERSTROKE study, an international case-control study of risk factors for stroke. Among ...
Source: Psychiatr News - December 9, 2022 Category: Psychiatry Tags: home stress INTERSTROKE study JAMA Network Open locus of control work stress Source Type: research

Predictive Accuracy of Stroke Risk Prediction Models Across Black and White Race, Sex, and Age Groups
CONCLUSIONS AND RELEVANCE: In this analysis of Black and White individuals without stroke or transient ischemic attack among 4 US cohorts, existing stroke-specific risk prediction models and novel machine learning techniques did not significantly improve discriminative accuracy for new-onset stroke compared with the pooled cohort equations, and the REGARDS self-report model had the best calibration. All algorithms exhibited worse discrimination in Black individuals than in White individuals, indicating the need to expand the pool of risk factors and improve modeling techniques to address observed racial disparities and imp...
Source: Atherosclerosis - January 24, 2023 Category: Cardiology Authors: Chuan Hong Michael J Pencina Daniel M Wojdyla Jennifer L Hall Suzanne E Judd Michael Cary Matthew M Engelhard Samuel Berchuck Ying Xian Ralph D'Agostino George Howard Brett Kissela Ricardo Henao Source Type: research

Thrombolysis in acute stroke: ongoing challenges based on a tertiary hospital audit and comparisons with other Australian studies.
Conclusion The proportion of eligible stroke patients who receive tPA in a timely manner remains less than ideal at our centre. More accurate patient selection and reductions in treatment delays serve as targets for quality improvement efforts that have broad applicability.What is known about the topic? Stroke unit care and tPA thrombolysis are two proven strategies to improve outcome in patients with ischaemic stroke. Although the stroke unit is gaining momentum of growth in Australia (especially in Queensland), little improvement has been achieved in thrombolysis rate and timeliness of treatment delivery, and little is k...
Source: Australian Health Review - June 29, 2015 Category: Hospital Management Authors: Lau AH, Hall G, Scott IA, Williams M Tags: Aust Health Rev Source Type: research

Data lake-driven analytics identify nocturnal non-dipping of heart rate as predictor of unfavorable stroke outcome at discharge
ConclusionsOur data suggest that a lack of circadian HR modulation, specifically nocturnal non-dipping, is associated with short-term unfavorable functional outcome after stroke, and that including HR into machine learning-based prediction models may lead to improved stroke outcome prediction.
Source: Journal of Neurology - April 20, 2023 Category: Neurology Source Type: research

Strategies adopted to manage physical and psychosocial challenges after returning home among people with stroke: A qualitative study
This study was conducted to explore how stroke survivors manage their life after returning home from the hospital. This was a qualitative study with individual, semi-structured interviews. We recruited a purposive sample of adults who had a first or recurrent ischemic or hemorrhagic stroke and currently lived at home. Participants were asked about their post-stroke experiences, challenges encountered, and strategies adopted for managing post-stroke conditions. Data were transcribed verbatim and analyzed using thematic analysis. A total of 30 stroke survivors (mean age = 61.97 years, SD = 10.20) were interviewed. ...
Source: Medicine - March 12, 2021 Category: Internal Medicine Tags: Research Article: Quality Improvement Study Source Type: research