View clinical trials related to Stroke.
Filter by:Extensive research is being conducted in search of neuroprotective agents for possible use in the acute phase of stroke and agents that can be used for neurorepair in later stages of stroke. Several trials have been conducted and are in progress using different pharmacological agents, but none of the studies involve the stimulation of ETB receptors to treat cerebral ischemic stroke. Sovateltide (IRL-1620, PMZ-1620) has been effective in animal models of cerebral ischemic stroke. Its safety and tolerability have been demonstrated in a human phase I study with 7 subjects. Clinical phase II and III results indicate that sovateltide is a novel, first-in-class, highly effective drug candidate for treating cerebral ischemic stroke. Safety and significant efficacy in improving the National Institutes of Health Stroke Scale (NIHSS), Modified Rankin scale (mRS), and Barthel index (BI) obtained in phase II and III studies in patients with cerebral ischemic stroke in India are convincing and encouraged us to investigate its safety and efficacy in cerebral ischemic stroke patients in the United States. Therefore, the plan is to conduct a phase III clinical study to evaluate the safety and efficacy of sovateltide therapy along with standard of care in patients of acute ischemic stroke.
The primary objective of this study is to determine the feasibility and safety of receiving intravascular hypothermia treatment for patients experiencing endovascular treatment after acute ischemic stroke(AIS) due to a large vessel occlusion.
This clinical trial aims to learn whether blood pressure (BP) guided by individualized cerebral autoregulation (CA) is safe and provides a better prognosis than a fixed target in patients with ischemic stroke after endovascular therapy. The BP of participants will be managed at least 48 hours after revascularization. Researchers will compare the CA-guided BP group with the fixed target BP group to mainly see if individualized BP could help more patients to have their neurological function improved at seven days.
This is a single-arm, observational, feasibility study to evaluate if the Halo Alert System can be used in the future to detect stroke events in individuals at risk for stroke wearing the Halo Alert System overnight.
Comparative Efficacy of Different Time Interval between rTMS and Rehabilitation Program for Motor Recovery in Stroke Patients
After a stroke, people can experience memory problems, including difficulty remembering to do things in the future - termed "prospective memory". This can impact their ability to carry out important activities of daily living (e.g., taking medication), independence, and quality of life. Technology-based memory aids, including smartphone applications, can compensate for memory difficulties and are recommended as a 'practice standard' for improving prospective memory impairment following stroke. ApplTree is a smartphone application that was designed for people with memory and attention problems. Users can enter details of future tasks and events and ApplTree then prompts them to remind them to complete these at a pre-specified time. This study will investigate whether ApplTree helps people who have had a stroke and experience prospective memory difficulties to successfully complete prospective memory tasks. It will also explore whether they find ApplTree helpful and easy-to-use.
Post-stroke cognitive impairment(PSCI) refers to a clinical syndrome characterized by cognitive impairment that occurs after a stroke event and persists for 6 months. PSCI is divided into post-stroke cognitive impairment non-dementia and post-stroke dementia. About one half of patients develop PSCI within the first year after stroke. Recent large international cohort studies have reported that the incidence of PSCI is 24%-53.4%, among which the incidence of cognitive impairment after stroke without dementia is 14%-29% and the incidence of dementia after stroke is 11%-42%. A study in China shows that the incidence of PSCI is 53.1%. Our previous small sample study also found that the incidence of cognitive impairment in acute phase of ischemic stroke patients was 64.52%. It can be seen that the incidence of PSCI is high, which is an important health problem. The mortality rate of stroke patients complicated with PSCI is significantly higher than that of patients without cognitive impairment. The 5-year survival rate of patients with post-stroke dementia is only 39%, while the survival rate of stroke patients without dementia of the same age is 75%. In addition, patients with PSCI will lead to long-term disability, a significant decline in self-care ability of daily living, quality of life and mental health status, poor social participation ability, and increased care pressure. If not intervened in time, will bring serious disease and economic burden to the family and society. Therefore, preventing the occurrence and delaying the progression of PSCI is an important task to be solved urgently. Rehabilitation is an important intervention to delay the progression of PSCI, aiming to promote the remodeling of the central nervous system, and the main method is early and multi-dimensional cognitive function training. Some studies have confirmed that computerization, multi-cognitive domains, and adaptive cognitive training (7 consecutive weeks, 5 days a week, 30 min a day) can significantly improve the global cognitive function of patients with cognitive impairment after subcortical stroke and non-dementia . A recent systematic review showed that cognitive training can improve the cognitive function and daily living ability of patients with mild PSCI. It also has a certain effect on the improvement of patients' overall cognitive function. It can be seen that cognitive training is not effective for all stages of PSCI patients, and the effect of cognitive training is very limited for patients who have developed into a single dimension of severe damage, serious overall cognitive impairment even dementia. This suggests that targeted cognitive intervention for patients at the acute stage of stroke may achieve the purpose of preventing the occurrence and delaying the progression of PSCI. Therefore, this study innovatively proposed the concept of preventive cognitive training for patients with acute stroke. In the basis of literature research, combined with the views of the cognitive domain experts and Kang Fushi reformed the existing cognitive training plan, build the computer-assisted ladder multidimensional cognitive training scheme, the main dimensions set up on the basis of cognitive training program, according to the degree of cognitive impairment at the same time set the difficulty level of the project, It is convenient for medical staff to select appropriate items and difficulties based on the dimension and degree of cognitive impairment of patients. To evaluate the effect of cognitive training by using cognitive function scale, psycho-psychological scale, self-care ability scale and other tools, and to clarify whether acute preventive cognitive training can improve PSCI, so as to provide a practical basis for the prevention and intervention of PSCI.
The purpose of this study is to develop and test if upper limb task practice and muscle activity training improve upper limb function in stroke survivors. Participants will be asked to come to the laboratory 3 times a week for 6 weeks to receive upper limb task practice and/or muscle activity training. Participants will also come to the laboratory for additional 3 visits for assessments of upper extremity function. The total duration of the study will be 2.5 months.
The proposed study is a two-arm randomized clinical trial designed to assess the effects of the StrokeWear system on clinical outcomes over a period of 6-months in chronic stroke survivors. The Intervention group will use StrokeWear system in combination to a motor and behavioral home intervention whereas the Control group will follow usual care which consists of a home-exercise plan (HEP).
Artificial intelligence (AI)-powered prognostic tools and clinical decision support systems can predict the outcome of certain diseases based on a multitude of patient data at high speed, facilitating decisions by healthcare professionals. In acute ischemic stroke, the overall treatment effect and population-wide outcome benefit of treatments such as IV thrombolysis and mechanical thrombectomy are well established. However, in individual patients it is difficult to predict the prognosis in the acute phase of stroke: some patients are candidates for these treatments, but may have poor clinical outcomes (no improvement of stroke or even worsening) Our aim in this study is to validate an artificial intelligence (AI)-based prognostic tool to provide accurate real-time outcome prediction in patients with acute ischemic stroke. During the study, all patients admitted to the emergency room with an acute ischemic stroke will receive the usual treatment for acute stroke in accordance with the stroke neurologists in charge. A "shadow" clinical researcher, without interaction with treating physicians, will collect the data required by the AI model in vivo. These data will be obtained by filling in clinical data through an App on a hospital mobile/tablet, and by a connection with your electronic medical record. The AI models will estimate the outcome of the acute stroke patient, and this prediction will be compared with the real outcome of the patient after 3 months of follow-up.