Early Th1-Th2 cytokine imbalance as a predictor for post-stroke depression at 3 months [0.03%]
卒中后三个月抑郁的Th1/Th2细胞因子失衡预测因素
Huimin Zhao,Wanying Li,Qinrong Xu et al.
Huimin Zhao et al.
Background: The relationship between the imbalance of TH1-TH2 cytokine levels in the early stages of acute ischemic stroke (AIS) and the subsequent development of post-stroke depression (PSD) remains unclear.
Head-down tilt 15° increases cerebral perfusion before recanalization in acute ischemic stroke. A pre-clinical MRI study [0.03%]
头低位倾斜15度可增加急性缺血性卒中再灌注前的脑灌注。一项磁共振成像的预临床研究
Simone Beretta,Davide Carone,Tae-Hee Cho et al.
Simone Beretta et al.
We investigated the therapeutic effect of head-down tilt at -15° (HDT15) on cerebral collateral flow and early infarct growth in a rat model of large vessel occlusion stroke, using multi-modal MRI. Endovascular occlusion of the proximal mi...
Apolipoprotein A-IV regulates coagulation and ischemic stroke by potentiating activated protein C [0.03%]
载脂蛋白A-IV通过增强活化蛋白C来调节凝血和缺血性卒中
Musan Yan,Yuewei Wang,Liyuan Niu et al.
Musan Yan et al.
In animal models, anti-ApoA-IV antibody administration shortened bleeding time but exacerbated ischemic stroke outcomes.
Can diabetic peripheral neuropathy predict lacunar stroke in patients with diabetes? [0.03%]
糖尿病周围神经病变能预测糖尿病患者的腔隙性卒中吗？
Nathalie Deschamps,Nadia Sabbah,Amina Nasri et al.
Nathalie Deschamps et al.
The aim of this work was to test the hypothesis that an etiological pattern of ischemic stroke in patients with DPN can be recognized. This was a single-center retrospective observational study of patients hospitalized in Cayenne general-hospital with ischemic stroke.
Trends and Disparities in In-Hospital Mortality Among Ischemic Stroke Patients During the COVID-19 Era: A Nationwide Study (2016-2022) [0.03%]
新冠肺炎疫情下缺血性卒中患者住院死亡率的全国性研究（2016-2022）及差异分析
Mian Urfy,Mariam Tariq Mir
Mian Urfy
Background and purpose: The COVID-19 pandemic disrupted stroke systems of care, but its impact on in-hospital mortality and disparities among ischemic stroke patients remains unclear....Results: Among 950,518 ischemic stroke admissions, in-hospital mortality rose from 6.32% in 2019 to 8.24% in 2021-a 30% relative increase during the COVID-19 era.
Nicola D Fearn,Maggie L Yau,Jay Gajera et al.
Nicola D Fearn et al.
Background: Childhood arterial ischemic stroke (AIS) is associated with substantial long-term morbidity. This study aims to describe factors associated with recurrence, mortality, and neurological disability.
Enhancing Thrombolysis Safety in Post-Acute Ischemic Stroke with Tissue Plasminogen Activator-Associated Microparticles [0.03%]
组织型纤溶酶原活化物相关微颗粒在急性缺血性脑卒中后溶栓安全中的作用
Raffaele Spanò,Corinne Portioli,Tijana Geroski et al.
Raffaele Spanò et al.
Recombinant tissue-type plasminogen activator (tPA) is the only approved thrombolytic drug for acute ischemic stroke, a condition associated with severe disabilities and high mortality. However, when the blood-brain barrier (BBB) is damaged...
Refining CT image analysis: Exploring adaptive fusion in U-nets for enhanced brain tissue segmentation [0.03%]
基于U-Net的CT图像自适应融合分析及其脑组织分割研究
Bang-Chuan Chen,Chung-Yi Shen,Jyh-Wen Chai et al.
Bang-Chuan Chen et al.
Results: Our study comprised 20 ischemic stroke patients (14 males, 4 females) with an average age of 68.9 ± 11.7 years.
Perivenous-enhanced cortical veins on contrast-enhanced black-blood MRI: a novel marker for blood-brain barrier disruption in ischemic stroke [0.03%]
对比增强黑色血MRI上的脑皮层静脉增强：缺血性卒中血脑屏障破坏的新标志物
Dan Zhu,Tianle Wang,Yingnan Bai et al.
Dan Zhu et al.
Materials & methods: This retrospective study included 168 hospitalized patients with acute, subacute, and chronic ischemic stroke who underwent pre- and post-CEBBI imaging.
Development and Application of a Machine Learning-Based Predictive Model for Carotid Restenosis After Interventional Surgery in Elderly Ischemic Stroke Patients [0.03%]
基于机器学习的预测模型在老年缺血性卒中患者颈动脉介入术后再狭窄的应用及验证
Xianmei Wu,Xiaoyang Wang,Hongmei Lin et al.
Xianmei Wu et al.
Objective: This study aims to develop a machine learning-based risk prediction model for carotid restenosis in elderly ischemic stroke patients after interventional surgery....Methods: We collected clinical data from 371 elderly ischemic stroke patients who underwent carotid interventional surgery between January 2020 and December 2023, as training dataset....Conclusion: Our research showed that compared with other machine learning algorithms, the GBM model demonstrates the best accuracy and stability in predicting the risk of carotid restenosis after interventional surgery in elderly ischemic stroke patients, and it has high clinical application
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