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Condition: Ischemic Stroke
Education: Learning

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Total 959 results found since Jan 2013.

Connectomic insight into unique stroke patient recovery after rTMS treatment
This study demonstrates for the first time the feasibility of using individualized connectivity analyses in differentiating unique phenotypes in rTMS treatment responses and recovery. This personalized connectomic approach may be utilized in the future to better understand patient recovery trajectories with neuromodulatory treatment.
Source: Frontiers in Neurology - July 6, 2023 Category: Neurology Source Type: research

A comparative effectiveness study of carotid intervention for long-term stroke prevention in patients with severe asymptomatic stenosis from a large integrated health system
CONCLUSIONS: In this contemporary cohort study of patients with ACS utilizing rigorous analytic methodology, CEA appears to have a small but statistically significant effect on stroke prevention out to 8 years. Further study is needed to appropriately select the subset of patients most likely to benefit from intervention.PMID:37406943 | DOI:10.1016/j.jvs.2023.06.024
Source: Atherosclerosis - July 5, 2023 Category: Cardiology Authors: Robert W Chang Noel Pimentel Lue-Yen Tucker Kara A Rothenberg Andrew L Avins Alexander C Flint Rishad M Faruqi Mai N Nguyen-Huynh Romain Neugebauer Source Type: research

Streamlined Carotid Artery Calcification Labeling For Cta Scans
Introduction: We require vast amounts of manually labeled calcifications to train advanced machine learning classifiers for carotid artery plaque detection and phenotyping high-risk calcifications for ischemic stroke patients. We developed CTOOL, a web-based software for streamlined calcium labeling with minimal user interaction.
Source: Journal of Cardiovascular Computed Tomography - July 1, 2023 Category: Radiology Authors: J. Kim, N. Arnett, J. Kotler, D. Shah, B. Cucchiara, J. Song, D. Haehn Source Type: research

Identification of cell death-related biomarkers and immune infiltration in ischemic stroke between male and female patients
ConclusionThese findings contribute to a better knowledge of immune cell infiltration and their corresponding molecular mechanisms of cell death and offer distinct clinically relevant biological targets for IS patients of different genders.
Source: Frontiers in Immunology - June 26, 2023 Category: Allergy & Immunology Source Type: research

Prediction of short-term atrial fibrillation risk using primary care electronic health records
Conclusions FIND-AF, a machine learning algorithm applicable at scale in routinely collected primary care data, identifies people at higher risk of short-term AF.
Source: Heart - June 26, 2023 Category: Cardiology Authors: Nadarajah, R., Wu, J., Hogg, D., Raveendra, K., Nakao, Y. M., Nakao, K., Arbel, R., Haim, M., Zahger, D., Parry, J., Bates, C., Cowan, C., Gale, C. P. Tags: Open access, Editor's choice Arrhythmias and sudden death Source Type: research

OEDL: an optimized ensemble deep learning method for the prediction of acute ischemic stroke prognoses using union features
ConclusionThe OEDL approach proposed herein could effectively achieve improved stroke prognosis prediction performance, the effect of using combined data modeling was significantly better than that of single clinical or radiomics feature models, and the proposed method had a better intervention guidance value. Our approach is beneficial for optimizing the early clinical intervention process and providing the necessary clinical decision support for personalized treatment.
Source: Frontiers in Neurology - June 21, 2023 Category: Neurology Source Type: research

Edaravone Dexborneol Alleviates Neuroinflammation by Reducing Neuroglial Cell Proliferation and Suppresses Neuronal Apoptosis/Autophagy in Vascular Dementia Rats
In this study, we established the VD model of rats by bilateral carotid artery occlusion to explore the neuroprotective effect of EDB and its mechanism. Morris Water Maze test was applied to assess the cognitive function of rats. H&E and TUNEL staining were applied to observe the cellular structure of the hippocampus. Immunofluorescence labeling was used to observe the proliferation of astrocytes and microglia. ELISA was applied to examine the levels of TNF-α, IL-1β and IL-6, and RT-PCR was applied to examine their mRNA expression levels. Western blotting was applied to examine apoptosis-related proteins (Bax, Bcl-2,...
Source: Neurochemical Research - June 20, 2023 Category: Neuroscience Authors: Jiawei Zhang Yining Xiao Hongna Liu Lili Xu Xing Guo Yaran Gao Meixi Li Jing Xu Qianqian Qi Peiyuan Lv Source Type: research

Predicting new-onset post-stroke depression from real-world data using machine learning algorithm
DiscussionMachine learning models can provide as potential predictive tools for PSD and important factors are identified to alert clinicians for early detection of depression in high-risk stroke patients.
Source: Frontiers in Psychiatry - June 19, 2023 Category: Psychiatry Source Type: research

Thrombosis origin identification of cardioembolism and large artery atherosclerosis by distinct metabolites
Conclusions Six metabolites as potential predictors for distinguishing between cerebral thrombi of CE and LAA origin were identified. The results are useful for understanding the pathogenesis and for secondary stroke prevention.
Source: Journal of NeuroInterventional Surgery - June 16, 2023 Category: Neurosurgery Authors: Li, W., Bai, X., Hao, J., Xu, X., Lin, F., Jiang, Q., Ding, C., Dai, G., Peng, F., Zhang, M., Feng, Y., Wang, J., Chen, X., Xue, T., Guo, X., Fu, Z., Chen, W.-h., Zhang, L., Wang, C., Jiao, L. Tags: Basic science Source Type: research

Computed tomography angiography-based radiomics model for predicting carotid atherosclerotic plaque vulnerability
This study aimed to identify radiomic features associated with the neovascularization of CAP and construct a prediction model for CAP vulnerability based on radiomic features. CTA data and clinical data of patients with CAPs who underwent CTA and CEUS between January 2018 and December 2021 in Beijing Hospital were retrospectively collected. The data were divided into a training cohort and a testing cohort using a 7:3 split. According to the examination of CEUS, CAPs were dichotomized into vulnerable and stable groups. 3D Slicer software was used to delineate the region of interest in CTA images, and the Pyradiomics package...
Source: Frontiers in Neurology - June 16, 2023 Category: Neurology Source Type: research

Development and validation of a prediction model to predict major adverse cardiovascular events in elderly patients undergoing noncardiac surgery: A retrospective cohort study
CONCLUSIONS: This prediction model based on the traditional method could accurately predict the risk of MACEs after noncardiac surgery in elderly patients.PMID:37315395 | DOI:10.1016/j.atherosclerosis.2023.06.008
Source: Atherosclerosis - June 14, 2023 Category: Cardiology Authors: Kai Zhang Chang Liu Xiaoling Sha Siyi Yao Zhao Li Yao Yu Jingsheng Lou Qiang Fu Yanhong Liu Jiangbei Cao Jiaqiang Zhang Yitian Yang Weidong Mi Hao Li Source Type: research