Active clinical trials for "Hemorrhagic Stroke"

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.

The purpose of this study is to find risk factors for hemorrhagic stroke.

Objective: To explore the predictive value of characteristic disorder of intestinal flora for clinical prognosis in patients with intracerebral hemorrhage. Secondary objectives: 1) To investigate the correlation of gut microbiota and its serological indicators with imaging features and clinical neurological deficits in ICH; 2) Dynamically observe the changes of human microbiome and its serological indicators after ICH, and explore the biomarkers based on human microbiome related to disease changes.

Stroke leads to lasting problems in using the upper limb (UL) for everyday life activities. While rehabilitation programs depend on motor learning, UL recovery is less than ideal. Implicit learning is thought to lead to better outcomes than explicit learning. Cognitive factors (e.g., memory, attention, perception), essential to implicit motor learning, are often impaired in people with stroke. The objective of this study is to investigate the role of cognitive deficits on implicit motor learning in people with stroke. The investigators hypothesize that 1) subjects with stroke will achieve better motor learning when training with additional intrinsic feedback compared to those who train without additional intrinsic feedback, and 2) individuals with stroke who have cognitive deficits will have impairments in their ability to use feedback to learn a motor skill compared to individuals with stroke who do not have cognitive deficits. A recent feedback modality, called error augmentation (EA), can be used to enhance motor learning by providing subjects with magnified motor errors that the nervous system can use to adapt performance. The investigators will use a custom-made training program that includes EA feedback in a virtual reality (VR) environment in which the range of the UL movement is related to the patient's specific deficit in the production of active elbow extension. An avatar depiction of the arm will include a 15 deg elbow flexion error to encourage subjects to increase elbow extension beyond the current limitations. Thus, the subject will receive feedback that the elbow has extended less than it actually has and will compensate by extending the elbow further. Subjects will train for 30 minutes with the EA program 3 times a week for 9 weeks. Kinematic and clinical measures will be recorded before, after 3 weeks, after 6 weeks, and after 9 weeks. Four weeks after the end of training, there will be a follow-up evaluation. Imaging scans will be done to determine lesion size and extent, and descending tract integrity with diffusion tensor imaging (DTI). This study will identify if subjects with cognitive deficits benefit from individualized training programs using enhanced intrinsic feedback. The development of treatments based on mechanisms of motor learning can move rehabilitation therapy in a promising direction by allowing therapists to design more effective interventions for people with problems using their upper limb following a stroke.

The objective of the study is to determine RNA blood biomarker based on 9 genes already identified in experimental studies, whose expression would be significantly increased in patient with ischemic stroke compared to controls.

In this study the investigators will assess both procoagulant and anticoagulant pathways using thrombin generation and platelet function tests in all patients presenting with ischaemic and haemorrhagic stroke (including aneurysmal subarachnoid haemorraghe). Also the cross-talk between inflammation and thrombosis, so-called thrombo-inflammation is further investigated. As such the investigators aim to characterise the patient's coagulation profile before administration of any treatment. By assessing these pathways the investigators strive to detect specific markers to predict vital and functional outcome at 3 months in these patients. Finally the investigators may provide new pathophysiological insights in the course of disease following these events that can possibly improve future therapeutic strategies.

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.

This study will determine the acceptability of delivering seated exercises online and if seated exercises can improve balance, mobility, quality of life, and cardiometabolic health in those living with a stroke related mobility impairment. Participants will be allocated to either a 10-week seated exercise program or a delayed 2-week Boot Camp program. All seated exercises sessions and assessments will be conducted virtually.

Stroke is the 5th leading cause of death and the leading cause of adult disability in the United States (US). Stroke is a complex disease with multiple interacting risk factors (including genetic, high blood pressure and cholesterol, and lifestyle factors like smoking, diet, and exercise) that lead to initial and recurrent stroke. Up to 90% of stroke survivors have some functional deficit that impacts both physical and mental health. Scientific evidence that identifies the best stroke care delivery design is lacking. We completed a three-year, Centers for Medicare & Medicaid Services (CMS) Health Care Innovation Award that tested a new stroke care design called an Integrated Practice Unit (IPU). This IPU was developed through stakeholder input from patients, caregivers, nurses, stroke specialists, rehabilitation specialists, patient advocacy groups, payers, and technology companies. This IPU design was associated with decreased hospital length of stay, readmissions, and stroke recurrence, as well as lower cost. Based on the CMS study, a larger, pragmatic trial was developed that is called C3FIT (Coordinated, Collaborative, Comprehensive, Family-based, Integrated, and Technology-enabled Stroke Care). C3FIT will randomly assign 18 US hospital sites to continue Joint Commission-certified Comprehensive/Primary (CSC/PSC) design or to the novel Integrated Stroke Practice Unit (ISPU) design for stroke care. C3FIT's ISPU uses team-based, enhanced collaboration (called Stroke Central) and follows patients from presentation at the Emergency Department (ED) through 12-months post-discharge (called Stroke Mobile). Stroke Mobile includes a nurse and lay health educator team who visit patients and caregivers at home or at a rehabilitation or skilled nursing facility to assess function and quality of life using telehealth technology to facilitate access to multiple providers. Results from C3FIT will provide high quality scientific evidence to determine the best stroke care design that ensures positive health for patients and caregivers.

Study using ultrasound of the brain as a diagnostic tool to differentiate between ischemic stroke and hemorrhagic stroke. Correlation of brain perfusion and size of stroke in relation to systemic hemodynamic targets will be assessed on serial scans.