View clinical trials related to Stroke.
Filter by:The traditional Chinese medicine rehabilitation for the post-stroke cognitive impairment will be intervened, which can promote the recovery of post-stroke cognitive function patients, reduce the disability rate and improve the quality of life.
The randomized study (in Phase II of the U44) compares the efficacy and durability of 9 weeks (18 sessions) of robot-assisted physical therapy (PTR) versus physical therapy (PT) alone on foot drop as assessed by gait biomechanics (ankle angle at initial contact, peak swing ankle angle, number of heel-first strikes - % total steps, gait velocity) and blinded clinician assessment (dorsiflexion active range of motion, ankle muscle strength, assistive device needs).
The purpose of this study is to evaluate the safety, tolerability, and preliminary efficacy of single injection of it-hMSC in patients with ischemic stroke in a multicenter, blind, randomized, placebo controlled trial
This study aims to determine the inter- and intra-variability of Transcranial Doppler (TCD) ultrasound in neuro-critical care patients who are planned for consecutive daily TCD evaluations.
Stroke is the second leading cause of death and one of the main contributors to disability. Patients who survive the acute phase of ischemic stroke and those with transient ischemic attack (TIA) are at high risk of subsequent vascular events. Importantly, recurrent strokes are associated with a higher social and economic impact, higher case fatality, and worse clinical outcome than first-ever strokes. The burden of post-stroke complications, residual deficits, and inadequate medical and psychosocial care all contribute to long-term disability and reduced quality of life in these patients. The Department of Neurology of the Medical University Innsbruck undertook the STROKE-CARD trial (NCT02156778) between 2014 and 2018 with follow-up until 2019 to evaluate the efficacy of the Post-Stroke disease-management program STROKE-CARD care. After implementation of STROKE-CARD care, the investigators aim to document the quality of post-stroke care and compare outcome parameters to historical cohorts and the change over time. Furthermore the investigators aim to gain a large data-resource for future research of biomarkers, disease mechanisms, prognosis and imaging mechanisms for R&D.
Endovascular treatment（ET）is an effective therapy for acute ischemic stroke(AIS) with great vessel obstruction. However, acute complications such as high postoperative perfusion injury, hemorrhagic transformation and restenosis resulted in functional independence in only about 50% of patients 90 days after interventional surgery. Therefore, it is very important to protect the neurologic function after emergency endovascular treatment. The investigators' previous studies have shown that combined with intravenous thrombolytic therapy and remote postconditioning（RIPC）can significantly improve the neurological impairment and short-term and long-term prognosis in patients with acute stroke. In this multicenter, randomized controlled trial, the investigators assumed patients with acute ischemic stroke who had successfully revascularization after ET might benefit from RIPC as well. Patients in the RIPC group had five cycles of 5-min cuff inflation followed by 3-min deflation to the bilateral upper arm after ET. The primary endpoint measure was the proportion of patients with a favorable recovery of nerve function deficient assessed by Modified Rankin Scale （mRS≤2） 90 days after surgery. Secondary endpoints included the following: (1) Symptom endpoints: Neurological intelligence and function scores, postoperative hemorrhagic transformation rate, etc. (2) Blood index test: postoperative inflammatory factors, neuron-specific enolase (NSE) and other indicators. (3) Imaging endpoints: MRI-FLAIR , TCD, etc.
The purpose of this study is to develop a new paradigm to understand how humans physically interact with each other at a single and at multiple joints, with multiple contact points, so as to synthesize robot controllers that can exhibit human-like behavior when interacting with humans (e.g., exoskeleton) or other co-robots. The investigators will develop models for a single joint robot (i.e. at the ankle joint) that can vary its haptic behavioral interactions at variable impedances, and replicate in a multi-joint robot (i.e. at the ankle, knee, and hip joints). The investigators will collect data from healthy participants and clinical populations to create a controller based on our models to implement in the robots. Then, the investigators will test our models via the robots to investigate the mechanisms underlying enhanced motor learning during different human-human haptic interaction behaviors (i.e. collaboration, competition, and cooperation. This study will be carried out in healthy participants, participants post-stroke, and participants with spinal cord injury (SCI).
This study is to investigate clinical efficacy of the pre-hospital triage of patients with suspected acute stroke by using advanced telecommunication tools with digital audio and video real-time streaming.
Stroke is the third leading cause of disability worldwide. Women present a higher incidence of this pathology and prevalence of its risk factors. Similarly, after stroke, women have a poorer functional outcome, higher rates of institutionalization and greater dependence on activities of daily living. People who have suffered a stroke are at increased risk of cardiovascular disease, with an estimated one-third of stroke survivors suffering a new event in the following 5 years. Current scientific literature recommends the promotion of physical activity (PA) and exercise for the prevention of stroke and its sequelae. However, stroke survivors are often insufficiently active. Therefore, changing their behavior with respect to PA and sedentary lifestyle is fundamental. Moreover, gender perspective, should also taken into account. Thus, our aims are to study whether there are differences in women with chronic stroke sequelae compared to men in: 1) the amount of sitting time and its context, as well as the time spent in different intensities of PA; 2) the reduction of sitting time and its effect on health after the completion of the PA self-management program and sedentary lifestyle developed in this project; 3) the presence of sarcopenia, osteoporosis and the state of frailty. To achieve these objectives, the lifestyle habits of 128 subjects (64 women) who live in the community and have chronic sequelae of stroke (≥ 6 months) will be evaluated. In addition, possible differences in the study variables will be verified with control people without sequelae of stroke. Moreover, in order to reduce the risks of stroke survivors, a program of self-management of PA and sedentary lifestyle will be developed. This program will be carried out through several sessions spread over six months that will incorporate: education, goal setting, identification of barriers, self-control and feedback. The feasibility of this intervention will be determined by examining compliance, duration, utility, and safety. At least 64 of the previously studied subjects will participate in this program, analyzing whether it favors the reduction of sitting time and its effect on health thanks to the measurement of different physical capacities. The differences between men and women in response to the program will be determined. Finally, we will explore whether the effect of the program is greater when it is implemented in the subacute than in the chronic phase.
The prediction of motor recovery in the acute phase of stroke is crucial for several clinical reasons: (i) informing the patient and his relatives, (ii) helping to identify the patient's endorsement (return home or rehabilitation) as well as the adaptation of the rehabilitation program to what can be expected from it. To date, an algorithm (decision tree) proposed by C. Stinear's team named PREP2 is the best predictive tool with 75% of patients well classified at 3 months. It predicts the functional recovery of the upper limb after stroke 3 months before the episode by categorizing recovery as "excellent", "good", "limited" as well as "minor" (poor). With two data (SAFE score, age) or three (SAFE score, Motor evoked potential, NIHSS), the prediction is effective three times out of 4. In the study the team is proposing "PREP-UCV", it would like to validate this algorithm as it is with patients in the active file who are victims of stroke. The expected accuracy is 75% or more. As a secondary objective, the team would like to confirm that it find the same algorithm starting from the initial data from PREP 2 (side of the stroke, type of stroke (ischemic and / or hemorrhagic), involvement of the corticospinal tract on MRI, sex at birth ) as well as two other factors which are also very important: cognitive status (dysexecutive / aphasia / neglect), as well as the neutrophils on lymphocytes ratio.