View clinical trials related to Hemorrhagic Stroke.
Filter by:The goal of this study is to determine if oral Minocycline's proposed neuroprotective effects further improve the clinical outcomes, including mortality, of acute stroke patients beyond the current standard stroke care in a large scale randomized prospective open label (outcome assessor blinded) clinical trial. Participants will be randomly assigned (1:1) to take Minocycline 200mg orally every 24 hours for five days, starting within 24 hours from stroke symptoms onset, in addition to standard care or standard care alone. NIHSS (The National Institutes of Health Stroke Scale) and mRS (Modified Rankin Scale) will be collected at the time of presentation, discharge and again at 30- and 90-days post-discharge. All-cause mortality will also be obtained at 30 days and 90 days.
The present clinical investigation - EarlyExo, is an interventional, international, multicentric, prospective, single-blinded randomized controlled trial. This clinical investigation is designed to test the hypothesis that early and intense introduction of walking sessions assisted by the Atalante exoskeleton, in a sample of hemiparetic patients with still non or poor ambulatory capacities (FAC 0 or 1) between one- and four-months post stroke, would result in a better recovery of functional walking compared to a control group only receiving conventional therapy. Improved recovery will be measured through the proportion of patients reaching a FAC score of 4 or higher at the end of the intervention period. The tested hypothesis is that this proportion will be higher in the Exo group. The duration of the intervention period in both groups is 6 weeks. - For the Exo group: 3 sessions per week (i.e., 18 one-hour sessions) with the Atalante device and 2 sessions per week (i.e., 12 one-hour sessions) of conventional therapy. - For the Control group: 5 sessions per week of conventional therapy (i.e., 30 one-hour sessions). The study will include 66 patients (33 in each arm) and takes place in two French centers, two German centers and one Spanish center.
Most stroke patients are initially evaluated at the closest hospital but some need to be transferred to a hospital that can provide more advanced care. The "Door-In-Door-Out" (DIDO) process at the first hospital can take time making transferred patients no longer able to get the advanced treatments. This study will help hospitals across the US "stand up" new ways to evaluate stroke patients, decide who needs to be transferred, and transfer them quickly for advanced treatment.
The overall goal of this project is to determine if machine learning and analysis of neurospecific biomarkers can enable early detection of upcoming or ongoing cerebral ischaemia in patients suffering from subarachnoid haemorrhage with altered consciousness due to cerebral injury or sedation. Analyses of heart rate variability, electroencephalgraphy,nearinfrared spectroscopy, cerebral autoregulation, and brain injury specific biomarkers in blood and cerebrospinal fluid will be performed.
Chronic intracranial arterial occlusion is associated with a "bidirectional stroke risk," with a significantly increased risk of both ischemic stroke and cerebral hemorrhage. Currently, Western CTAP products, in combination with clinical expertise, offer some predictive value for assessing the risk of ischemic events by evaluating compensatory pathways and overall perfusion in chronic intracranial arterial occlusion. However, there is limited support for assessing the risk of hemorrhagic events. Our proposed project aims to address a significant scientific challenge: the precise assessment of long-term stroke risk in asymptomatic patients with chronic intracranial arterial occlusion using a machine learning-based approach. The rapidly advancing field of machine learning provides a rich set of solutions for tackling this problem. In this project, we intend to develop a deep learning-based segmentation model for key brain regions using multimodal CT scans. Subsequently, we will automate the extraction of radiomic features and CT perfusion parameters, followed by the application of machine learning techniques to construct a stroke risk prediction model tailored for patients with chronic intracranial arterial occlusion.
Acute hemorrhagic stroke is a series of neurosurgical diseases characterized by bleeding with high morbidity and mortality. It accounts for about 20% of all strokes worldwide and mainly includes subtypes such as intracerebral hemorrhage (ICH) and subarachnoid hemorrhage (SAH). Multimodal computed tomography including non-contrast computed tomography, computed tomography angiography and computed tomography perfusion, is of great important in understanding pathophysiological changes, evaluating prognosis and guiding interventions in these diseases.
The purpose of this research is to better understand the impact of cortically-induced blindness (CB) and the compensatory strategies subjects with this condition may develop on naturalistic behaviors, specifically, driving. Using a novel Virtual Reality (VR) program, the researchers will gather data on steering behavior in a variety of simulated naturalistic environments. Through the combined use of computer vision, deep learning, and gaze-contingent manipulations of the visual field, this work will test the central hypothesis that changes to visually guided steering behaviors in CB are a consequence of changes to the visual sampling and processing of task-related motion information (i.e., optic flow).
The objective of this study is to evaluate the efficacy of the COOLSTAT® Transnasal Thermal Regulating Device in reducing temperature in a population of febrile subjects who meet the inclusion/exclusion criteria.
Neurovascular diseases can cause ischaemic or haemorrhagic strokes. While the most common, such as atherosclerosis are widely studied, others are less well known, such as arterial dissections or cerebral angiopathies. What's more, most studies are limited to a few years' follow-up and the longer-term evolution of patients is less well assessed. Patient follow-up data available in routine practice and specific enrollment through the headache emergencies of the Lariboisière neurovascular intensive care unit (USINV) could provide a particularly rich resource.
The goal of this research project is to develop a tele-rehabilitation programme, which will constitute an original care pathway for brain damaged patients. It will aim to improve their impairments, activities and social participation. The programme will deliver a therapeutic education and self-education programme targeting the upper and lower limbs, and will assess the patients by means of a diary and self-evaluation questionnaires.