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Condition: Ischemic Stroke
Education: Training

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Total 912 results found since Jan 2013.

Prediction of incident atrial fibrillation in post-stroke patients using machine learning: a French nationwide study
ConclusionsML algorithms predict incident AF post-stroke with a better ability than previously developed clinical scores.Graphic AbstractAF: atrial fibrillation; DNN: deep neural network; IS: ischemic stroke; KNN: K-nearest neighbors; LR: logistic regression; RFC: random forest classifier; XGBoost: extreme gradient boosting
Source: Clinical Research in Cardiology - December 17, 2022 Category: Cardiology Source Type: research

IJERPH, Vol. 19, Pages 16925: Effect of Treadmill Training with Visual Biofeedback on Selected Gait Parameters in Subacute Hemiparetic Stroke Patients
Conclusions: The treadmill with visual biofeedback as conventional gait training has resulted in a significant improvement in parameters such as step length, walking speed, static balance, and a reduction in the use of locomotion aids. However, the achieved improvement in gait parameters is still not in line with the physiological norm.
Source: International Journal of Environmental Research and Public Health - December 16, 2022 Category: Environmental Health Authors: Katarzyna Ka źmierczak Agnieszka Ware ńczak-Pawlicka Margaret Miedzyblocki Przemys ław Lisiński Tags: Article Source Type: research

The influential factors and non-pharmacological interventions of cognitive impairment in children with ischemic stroke
ConclusionHowever, evidence regarding the efficacy of these interventions is relatively weak. In future studies, the active application of a variety of interventions to improve pediatric cognitive function will be necessary, and neuroimaging and electrophysiological measurement techniques will be of great value in this context. Larger multi-center prospective longitudinal studies are also required to offer more accurate evidence-based guidance for the treatment of patients with pediatric stroke.
Source: Frontiers in Neurology - December 15, 2022 Category: Neurology Source Type: research

Comparison of ischemic stroke diagnosis models based on machine learning
ConclusionThe LASSO, SVM-RFE, and RF models have good prediction abilities. However, the ANN model is efficient at classifying positive samples and is unsuitable at classifying negative samples.
Source: Frontiers in Neurology - December 5, 2022 Category: Neurology Source Type: research

IJERPH, Vol. 19, Pages 16214: Evaluation of the Effect of SPIDER System Therapy on Weight Shifting Symmetry in Chronic Stroke Patients & mdash;A Randomized Controlled Trial
Conclusions: The results of the statistical analysis demonstrated a greater reduction in the tilt of the body’s center of mass in therapy using the SPIDER system, compared to therapy in which the system was not used.
Source: International Journal of Environmental Research and Public Health - December 4, 2022 Category: Environmental Health Authors: Paulina Magdalena Ostrowska Rafa ł Studnicki Marcin Rykaczewski Dawid Spycha ła Rita Hansdorfer-Korzon Tags: Article Source Type: research

High Intensity Gait Training for Patient With Apraxia Following Ischemic and Hemorrhagic Stroke
High intensity gait training (HIGT) has strong research evidence for improved gait outcomes post-stroke; however, few studies address motor planning deficits within this framework. The purpose of this case study is to describe the application and outcomes of HIGT in a patient with apraxia undergoing inpatient rehabilitation after stroke.
Source: Archives of Physical Medicine and Rehabilitation - December 1, 2022 Category: Rehabilitation Authors: Jessica Evans, Cathy Harro Tags: Research Poster 2184116 Source Type: research

Simulation ‐based team‐training in acute stroke: Is it safe to speed up?
ConclusionsSimulation training of the acute stroke treatment team was associated with an increase in the proportion of patients treated with IVT for a suspected AIS who were later diagnosed with peripheral vertigo. The proportion of other SM groups among IVT-treated patients did not change significantly. No sICH was detected in IVT-treated SM patients.
Source: Brain and Behavior - November 24, 2022 Category: Neurology Authors: Liv Jorunn H øllesli, Soffien Chadli Ajmi, Martin W. Kurz, Thomas Bailey Tysland, Morten Hagir, Ingvild Dalen, Sigrun Anna Qvindesland, Hege Ersdal, Kathinka D. Kurz Tags: ORIGINAL ARTICLE Source Type: research

Machine learning approach for hemorrhagic transformation prediction: Capturing predictors' interaction
ConclusionCerebral microbleeds, NIHSS, and infarction size were identified as HT predictors. The best predicting models were RFC and GBC capable of capturing nonlinear interaction between predictors. Predictor interaction suggests a dynamic, rather than, fixed cutoff risk value for any of these predictors.
Source: Frontiers in Neurology - November 24, 2022 Category: Neurology Source Type: research

Stroke systems of care in the Philippines: Addressing gaps and developing strategies
In the Philippines, the mortality from stroke during the last 10 years remains high. This paper aims to describe the gaps in stroke care and the development of stroke systems of care in the Philippines. Gaps in stroke systems of care include low number of neurologist, inadequate CT scan machines, lack of stroke training among health workers, lack of stroke protocols and pathways, poor community stroke awareness, low government insurance coverage with high out of pocket medical expenses, lack of infrastructure for EMS, inadequate acute stroke ready hospitals, stroke units and rehabilitation facilities. Although there are go...
Source: Frontiers in Neurology - November 24, 2022 Category: Neurology Source Type: research

Diffusion-weighted imaging-based radiomics for predicting 1-year ischemic stroke recurrence
CONCLUSION: DWI-based radiomics could help to predict 1-year ischemic stroke recurrence.PMID:36388230 | PMC:PMC9649925 | DOI:10.3389/fneur.2022.1012896
Source: Atherosclerosis - November 17, 2022 Category: Cardiology Authors: Hao Wang Yi Sun Jie Zhu Yuzhong Zhuang Bin Song Source Type: research

Inter-rater reliability for assessing intracranial collaterals in patients with acute ischemic stroke: comparing 29 raters and an artificial intelligence-based software
ConclusionAfter training, inter-rater reliability in collateral scoring was not influenced by experience. Automated CS performs similar to residents and radiologists in determining a collateral score.
Source: Neuroradiology - November 9, 2022 Category: Radiology Source Type: research

Retraction notice to "Effects of rehabilitation training on apoptosis of nerve cells and the recovery of neural and motor functions in rats with ischemic stroke through the PI3K/Akt and Nrf2/ARE signaling pathways" Brain Res. Bull.  134 (2017) 236-245
Brain Res Bull. 2022 Nov 4;192:11. doi: 10.1016/j.brainresbull.2022.11.001. Online ahead of print.NO ABSTRACTPMID:36343567 | DOI:10.1016/j.brainresbull.2022.11.001
Source: Brain Research Bulletin - November 7, 2022 Category: Neurology Authors: Xiao-Fei Jin Shan Wang Min Shen Xin Wen Xin-Rui Han Jun-Chang Wu Gao-Zhuo Tang Dong-Mei Wu Jun Lu Yuan-Lin Zheng Source Type: research

Diffusion-weighted imaging-based radiomics for predicting 1-year ischemic stroke recurrence
ConclusionDWI-based radiomics could help to predict 1-year ischemic stroke recurrence.
Source: Frontiers in Neurology - October 28, 2022 Category: Neurology Source Type: research

A nomogram for predicting atrial fibrillation detected after acute ischemic stroke
ConclusionPredictive models based on clinical characteristics, laboratory variables, and neuroimaging variables showed good calibration and high net clinical benefit, informing clinical decision-making in diagnosing and treating patients with AFDAS.
Source: Frontiers in Neurology - October 14, 2022 Category: Neurology Source Type: research