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Total 118 results found since Jan 2013.

1H NMR-Based Metabolomics Reveals Refined-Huang-Lian-Jie-Du-Decoction (BBG) as a Potential Ischemic Stroke Treatment Drug With Efficacy and a Favorable Therapeutic Window
This study was carried out in accordance with the recommendations of Animal Ethics Committee of China Pharmaceutical University. The protocol was approved by Animal Ethics Committee of China Pharmaceutical University. Author Contributions JW, MY, and LK conceived the experiments and helped to coordinate support and funding. XF performed the research and drafted the manuscript. SL, YL, and DX participated in the experiments. JW analyzed the data and edited the paper. All authors read and approved the final manuscript. Conflict of Interest Statement The authors declare that the research was conducted in the absence of an...
Source: Frontiers in Pharmacology - April 11, 2019 Category: Drugs & Pharmacology Source Type: research

Shengui Sansheng San Ameliorates Cerebral Energy Deficiency via Citrate Cycle After Ischemic Stroke
Conclusion In summary, SSS extraction significantly ameliorates cerebral energy metabolism via boosting citrate cycle, which mainly embodies the enhancements of blood glucose concentration, glucose and lactate transportation and glucose utilization, as well as the regulations of relative enzymes activities in citrate cycle. These ameliorations ultimately resulted in numerous ATP yield after stroke, which improved neurological function and infarcted volume. Collectively, it suggests that SSS extraction has exerted advantageous effect in the treatment of cerebral ischemia. Ethics Statement All animal operations were accor...
Source: Frontiers in Pharmacology - April 22, 2019 Category: Drugs & Pharmacology Source Type: research

A missing gene makes a big difference in patients ’ recovery from mild stroke
More than 6 million Americans live with disabilities following a stroke. Even mild strokes can leave survivors with arm and leg weakness, poor muscle control and memory lapses that worsen with age. Now UCLA neuroscientists have found that patients born without a gene called CCR5 recover better from mild stroke than patients with the gene. The team partnered with Israeli researchers to study the missing gene ’s effect on brain function.Published Feb. 21 in the journal Cell,  the findings could lead to the first pill to reverse the physical and mental aftermath of mild stroke.“This is the first time that a human gene h...
Source: UCLA Newsroom: Health Sciences - February 21, 2019 Category: Universities & Medical Training Source Type: news

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

Middle School Students Effectively Improve Stroke Knowledge and Pass Them to Family Members in China Using Stroke 1-2-0
Conclusion: Middle school and high school students can effectively use Stroke 1-2-0 to improve their stroke knowledge and pass this knowledge to their family members. Sustained educational efforts and repeated educational events are needed though.
Source: Frontiers in Neurology - April 7, 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

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

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

Machine Learning-Based Model for Predicting Incidence and Severity of Acute Ischemic Stroke in Anterior Circulation Large Vessel Occlusion
Conclusions: Machine learning methods with multiple clinical variables have the ability to predict acute ischemic stroke and the severity of neurological impairment in patients with AC-LVO.
Source: Frontiers in Neurology - December 2, 2021 Category: Neurology Source Type: research

Using convolutional neural network to analyze brain MRI images for predicting functional outcomes of stroke
AbstractNowadays, the physicians usually predict functional outcomes of stroke based on clinical experiences and big data, so we wish to develop a model to accurately identify imaging features for predicting functional outcomes of stroke patients. Using magnetic resonance imaging of ischemic and hemorrhagic stroke patients, we developed and trained a VGG-16 convolutional neural network (CNN) to predict functional outcomes after 28-day hospitalization. A total of 44 individuals (24 men and 20 women) were recruited from Taoyuan General Hospital and China Medical University Hsinchu Hospital to enroll in the study. Based on â€...
Source: Medical and Biological Engineering and Computing - August 2, 2022 Category: Biomedical Engineering Source Type: research

Heterogeneity in diagnosis and prognosis of ischaemic stroke subtypes: 9-year follow-up of 22000 cases in Chinese adults
CONCLUSIONS: This study highlighted substantial heterogeneity in prognosis of IS subtypes and utility of ML approaches for classification of IS cases with incomplete clinical investigations.PMID:36847304 | DOI:10.1177/17474930231162265
Source: Atherosclerosis - February 27, 2023 Category: Cardiology Authors: Matthew Chun Haiqiang Qin Iain Turnbull Sam Sansome Simon Gilbert Alex Hacker Neil Wright Tingting Zhu David Clifton Derrick Bennett Yu Guo Pei Pei Jun Lv Canqing Yu Ling Yang Liming Li Yan Lu Zhengming Chen Ben Cairns Yiping Chen Robert Clarke Source Type: research

Development of rapid and effective risk prediction models for stroke in the Chinese population: a cross-sectional study
Conclusion The five machine learning models all had good predictive and discriminatory performance for stroke. The performance of RF and XGBoost was slightly better than that of LR, which was easier to interpret and less prone to overfitting. This work provides a rapid and accurate tool for stroke risk assessment, which can help to improve the efficiency of stroke screening medical services and the management of high-risk groups.
Source: BMJ Open - March 1, 2023 Category: General Medicine Authors: Qiu, Y., Cheng, S., Wu, Y., Yan, W., Hu, S., Chen, Y., Xu, Y., Chen, X., Yang, J., Chen, X., Zheng, H. Tags: Open access, Public health Source Type: research

Ginkgo biloba extract EGb 761 ® improves cognition and overall condition after ischemic stroke: Results from a pilot randomized trial
Conclusion: Over the 24-week period, EGb 761® treatment improved overall cognitive performance among patients with mild to moderate ischemic stroke. Our findings provide valuable recommendations for the design of future trials, including the criteria for patient selection.Clinical Trial Registration:www.isrctn.com, identifier ISRCTN11815543.
Source: Frontiers in Pharmacology - March 29, 2023 Category: Drugs & Pharmacology Source Type: research

Cardiac myxoma and ischemic stroke
We report a case of intra-arterial tirofiban administration in a patient with acute ischemic stroke due to left atrial myxoma. Our purpose is to increase awareness at evaluation of secondary causes of ischemic stroke and provide a treatment option.Cardiac myxoma, which is most commonly found in the left atrium, is a rare etiology of cardioembolic stroke.1 The diagnosis of cardiac myxoma is seldom found at the onset of cerebral embolism when considering emergency endovascular treatment. We present a case of a 52-year-old Chinese male who had an ischemic stroke caused by left atrial myxoma, followed by an obvious recovery af...
Source: QJM - March 6, 2020 Category: Internal Medicine Source Type: research

Predicting 6-Month Unfavorable Outcome of Acute Ischemic Stroke Using Machine Learning
Conclusions: Compared with the HIAT score, the THRIVE score, and the NADE nomogram, the RFC model can improve the prediction of 6-month outcome in Chinese AIS patients.
Source: Frontiers in Neurology - November 19, 2020 Category: Neurology Source Type: research