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Condition: Hemorrhagic Stroke
Education: Training

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Total 247 results found since Jan 2013.

Radiomics assessment of carotid intraplaque hemorrhage: detecting the vulnerable patients
ConclusionsA CT-based radiomics nomogram showed satisfactory performance in distinguishing carotid plaques with and without intraplaque hemorrhage.
Source: Insights into Imaging - December 20, 2022 Category: Radiology Source Type: research

More is less: Effect of ICF-based early progressive mobilization on severe aneurysmal subarachnoid hemorrhage in the NICU
DiscussionWe conclude that the ICF-based early progressive mobilization protocol is an effective and feasible intervention tool. For validity, more mobilization interventions might lead to less pneumonia, duration of mechanical ventilation and length of stay for patients with severe aSAH in the NICU, Moreover, it is necessary to pay attention over potential adverse events (especially line problems), although we did not find serious safety events.
Source: Frontiers in Neurology - December 14, 2022 Category: Neurology 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

Second death linked to potential antibody treatment for Alzheimer ’s disease
A 65-year-old woman who was receiving a promising experimental treatment to slow the cognitive decline caused by her early Alzheimer’s disease recently died from a massive brain hemorrhage that some researchers link to the drug. The clinical trial death, described in an unpublished case report Science has obtained, is the second thought to be associated with the antibody called lecanemab. The newly disclosed fatality intensifies questions about its safety and how widely lecanemab should be prescribed if ultimately approved by regulators. The woman, who received infusions of the antibody as part of the trial, s...
Source: ScienceNOW - November 28, 2022 Category: Science Source Type: news

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

Lactate-to-albumin ratio is associated with in-hospital mortality in patients with spontaneous subarachnoid hemorrhage and a nomogram model construction
ConclusionLAR is closely associated with increased in-hospital mortality of patients with spontaneous SAH, which could serve as a novel clinical marker. The nomogram model combined with LAR, APSIII, age, and anion gap presents good predictive performance and clinical practicability.
Source: Frontiers in Neurology - October 17, 2022 Category: Neurology Source Type: research

A Pilot Study of the Fluctuating Mental Status Evaluation: A Novel Delirium Screening Tool for Neurocritical Care Patients
ConclusionsIn this pilot study, the FMSE achieved a high sensitivity and specificity in detecting delirium. Follow-up validation studies in a larger more diverse cohort of neurocritical care patients will use score cutoffs of  ≥ 1 as “possible” delirium and ≥ 2 as “probable” delirium.
Source: Neurocritical Care - October 14, 2022 Category: Neurology Source Type: research

Machine learning prediction of symptomatic intracerebral hemorrhage after stroke thrombolysis: a cross-cultural validation in Caucasian and Han Chinese cohort
CONCLUSION: The established SVM model is feasible for predicting the risk of sICH after thrombolysis quickly and efficiently in both Caucasian and Han Chinese cohort.PMID:36225969 | PMC:PMC9549180 | DOI:10.1177/17562864221129380
Source: Adv Data - October 13, 2022 Category: Epidemiology Authors: Junfeng Liu Xinyue Chen Xiaonan Guo Renjie Xu Yanan Wang Ming Liu Source Type: research

Prediction of bleb formation in intracranial aneurysms using machine learning models based on aneurysm hemodynamics, geometry, location, and patient population
Conclusions Based on the premise that aneurysm characteristics prior to bleb formation resemble those derived from vascular reconstructions with their blebs virtually removed, machine learning models can identify aneurysms prone to bleb development with good accuracy. Pending further validation with longitudinal data, these models may prove valuable for assessing the propensity of IAs to progress to vulnerable states and potentially rupturing.
Source: Journal of NeuroInterventional Surgery - September 14, 2022 Category: Neurosurgery Authors: Salimi Ashkezari, S. F., Mut, F., Slawski, M., Cheng, B., Yu, A. K., White, T. G., Woo, H. H., Koch, M. J., Amin-Hanjani, S., Charbel, F. T., Rezai Jahromi, B., Niemelä, M., Koivisto, T., Frosen, J., Tobe, Y., Maiti, S., Robertson, A. M., Cebral, Tags: Hemorrhagic stroke Source Type: research

A novel nomogram to predict hemorrhagic transformation in ischemic stroke patients after intravenous thrombolysis
ConclusionThis study proposes a novel and practical nomogram based on early infarct signs, NIHSS scores, uric acid, and albumin-to-globulin ratio that can well predict the probability of HT after intravenous thrombolysis in patients with ischemic stroke.
Source: Frontiers in Neurology - September 8, 2022 Category: Neurology Source Type: research

ANAID-ICH nomogram for predicting unfavorable outcome after intracerebral hemorrhage
CONCLUSIONS: The ANAID-ICH nomogram comprising age, NIHSS score, anemia, infratentorial location, presence of DWILs, and prior ICH may facilitate the identification of patients at higher risk for an unfavorable outcome.PMID:36000537 | DOI:10.1111/cns.13941
Source: CNS Neuroscience and Therapeutics - August 24, 2022 Category: Neuroscience Authors: Jiawen Li Dong Luo Feifei Peng Qi Kong Huawei Liu Meiyuan Chen Lusha Tong Feng Gao Source Type: research

Unsupervised Deep Learning for Stroke Lesion Segmentation on Follow-up CT Based on Generative Adversarial Networks FUNCTIONAL
CONCLUSIONS: An unsupervised generative adversarial network can be used to obtain automated infarct lesion segmentations with a moderate Dice similarity coefficient and good volumetric correspondence.
Source: American Journal of Neuroradiology - August 8, 2022 Category: Radiology Authors: van Voorst, H., Konduri, P. R., van Poppel, L. M., van der Steen, W., van der Sluijs, P. M., Slot, E. M. H., Emmer, B. J., van Zwam, W. H., Roos, Y. B. W. E. M., Majoie, C. B. L. M., Zaharchuk, G., Caan, M. W. A., Marquering, H. A., on behalf of the CONTR Tags: FUNCTIONAL Source Type: research