View clinical trials related to Stroke.
Filter by:The aim of the study was to analyze the importance of the position of the body and the examined upper limb on the parameters of movement coordination and hand grip strength in various age groups of people after a stroke and healthy individuals.
No cause for stroke is found in up to 30% of cases despite extensive investigations. These are called cryptogenic strokes (CS). 1 in 4 stroke survivors will suffer another in 5 years and this is a leading cause of fear and anxiety. A common reason for CS is an undetected heart rhythm disorder called atrial fibrillation (AF). AF occurs intermittently, so it may not be detected during the mandated 24-96 hours of rhythm monitoring that is performed as part of the standard post-stroke investigation strategy. A randomised controlled study in 2014 showed that whereas this standard monitoring strategy picks up AF in 2% of CS patients, longer-term, continuous monitoring for 12 months can pick up AF in 13% of patients. This suggests the standard strategy may miss AF in a proportion of CS patients and thus also the opportunity to mitigate against further strokes with anticoagulation therapy. Prolonged monitoring has traditionally required a minimally-invasive surgical procedure to implant a recording device under the skin at a specialist centre. A specifically trained team is also required to interpret the large number of recordings this strategy yields. The Apple Watch (AW) is a wristwatch able to monitor a wearer's heart rate and rhythm regularity and facilitates real- time, single-lead ECG recordings. This over-the-counter, non-invasive device has demonstrated feasibility and has a Certification (CE) Mark for detecting AF. It may offer a potential non-invasive alternative long-term rhythm surveillance strategy to diagnose AF in these patients. The investigators propose a study in which CS patients will be randomised in a 1:1 ratio to receive additional AW monitoring on top of standard care versus standard care alone. The investigators shall then explore the incidence of AF in the two groups at 1 year and how it impacts clinical outcomes too.
After a stroke, more than two out of three patients experience problems with upper limb movement and sensation. Current evidence on treatment of upper limb sensory impairments is scarce and shows unclear results. Robot-based therapy has been increasingly used to treat upper limb motor impairments, with similar positive results as compared to conventional therapy. This study aims to investigate a novel robot-based therapy program for treatment of upper limb sensory impairments. The therapy program consists of 10 one-hour session spread over 4 weeks and will be evaluated for its effect in 20 chronic stroke patients. The investigators hypothesize that a 4-week robot-based therapy program can improve upper limb sensation and movement.
The researchers have developed games controlled by electromyographic (EMG) and inertial measurement unit (IMU) activity recorded by a sensor. These will provide biofeedback to participants post-stroke about the activity of their paretic muscles. The researchers anticipate that providing visual biofeedback will allow subjects to observe the level of co-activation in an agonist-antagonist muscle pair, and therefore initiate interventions to reduce their level of co-activation. Similarly, the researchers will provide additional haptic feedback using an assistive robot at the ankle joint (i.e., M1) and compare the results with the pure visual feedback condition. At the end, the main objective is to compare 1) conventional robotic continuous passive movement (CPM) training to 2) training with visual biofeedback and 3) training with both visual and haptic biofeedback.
The purpose of this study is to demonstrate the added value of mobile health (mHealth) to detect atrial fibrillation (AF) early in the care path of cryptogenic stroke and transient ischemic attack (TIA) patients.
PRAAN is a post-market registry designed to collect real-world data associated with the use of Medtronic market release neurothrombectomy devices in acute ischemic stroke (AIS) patients from India.
This randomized, controlled, double-blind clinical pilot trial investigates the therapeutic potential of a novel personalized therapeutic brain-stimulation protocol in chronic stroke patients with spasticity. Stroke patients will either receive ipsilesional 100 Hz transcranial magnetic stimulation (TMS) triplet burst protocol synchronized to the ongoing µ-alpha oscillation or contralesional 1 Hz repetitive TMS (rTMS) protocol. Motor recovery is assessed directly after as well as three months after completion of the therapy.
Prediction of walking recovery after stroke can inform patient-centered care and support discharge planning. The accuracy of current prediction models is limited, however, due to small study designs and narrow predictors assessed. The investigators propose a comprehensive evaluation of a novel combination of biomarkers to improve prediction of walking recovery and guide rehabilitation efforts after stroke. These include acute structural brain network disruption (utilizing MRI); blood biomarker levels (e.g., brain-derived neurotrophic factor and vascular endothelial growth factor); and clinical assessments of strength and mobility. The overall study objectives are to assess protocol feasibility and investigate relationships between select biomarkers and walking recovery to provide strong justification for a larger study on predictors of independent walking after stroke. The proposed objectives will be pursued through the following specific aims: 1) Assess feasibility of a larger study and develop methods for telehealth data collection; 2) Establish baseline levels of biomarkers and average change over time; and 3) Elucidate relationships between baseline levels of biomarkers and walking gains across time in persons after stroke. A longitudinal, observational study design will be utilized for this study. Thirty-five persons with acute (≤7 days) stroke will be recruited from the local medical center. Select inclusion criteria include presence of new lower limb weakness and assistance for walking; select exclusion criteria include cerebellar stroke or other neurological disorders such as Parkinson's Disease. Subjects will undergo clinical evaluation at week 1, 4, 9, 12, and 26 weeks post-stroke. MRI scans will occur within 12 days post-stroke and at 12 weeks post-stroke, and blood draws within 1 week, 1 to 2 weeks and at 12 weeks post-stroke. To assess feasibility the investigators will examine study processes, recruitment, resources, study management, and scientific assessment. To examine the role of acute clinical, neuroimaging, and physiological measures in predicting walking recovery, the investigators will examine relationships between these measures and walking outcome at 12-weeks post-stroke. The proposed research is expected to provide strong scientific support for future clinical trials designed to target therapies based on predicted functional potential. Such knowledge has the potential of enhancing mobility gains and patient independence following stroke.
Numerous patients are addressed to the Emergency Department for unspecific symptoms which can evoke a stroke, such as vertigo, isolated motor deficit, behavior disorder. For these patients, when they arrive out of time for specific treatments such as thrombolysis and thrombectomy, the cerebral imagery is not an emergency, but necessary to confirm or invalidate the diagnostic of stroke. If a biomarker could exclude the diagnostic of stroke, we could avoid an imagery for these patients. PS100B is a biomarker whose blood level increases in case of stroke. It has already proven a prognostic value. Until now, it hasn't proven a diagnostic value because it take a few hours to increase in the blood. It could have in prognostic value for patients who have the symptoms for more than 24 hours. STROkE is a diagnostic, prospective, monocentric study, conducted at University Hospital Center of Poitiers (France). The aim is to determine the value of PS100B to exclude the diagnostic of a stroke in case of evocative symptoms, for patients who are out of delay for a thrombolysis or a thrombectomy. Patients eligible are the ones who present to the emergency department with symptoms evocative of stroke for more than 24 hours and less than 4 days. Patients included have a sample of blood withdrawn, in order to measure PS100B blood level. The diagnostic of stroke is than confirmed or excluded by an adjudication comity, who are unaware of the result of PS100B blood level. The diagnostic value of PS100B is determined with the help of a ROC curve.
With the aging of today's population, stroke is the top three causes of disability and death among people over the age of 60 in the world. About 5.5 million people die each year from strokes in Taiwan, and Taiwan's top ten causes of death in cerebrovascular disease rank fourth in the world. Constipation is the most common complication of stroke patients and increases the risk of brain damage and re-stroke. Although the clinical use of drugs can relieve intestinal symptoms, there is also a risk of potential side effects. The systematic literature points out that the use of acupoint stimulation can improve spontaneous bowel movements and promote bowel motility, but there is no conclusion on effective acupuncture points. Therefore, the purpose of this study is to improve the constipation of patients with stroke by non-invasive and precise acupoint care. This study used a single-blind randomized control trial. The neurosurgery ward of a medical center in the north was used as the research site, and patients with ischemic stroke were used as the research objects. The experimental group received precision acupoint care, and the control group received routine care. The questionnaire was used to collect basic patient information (basic attributes, disease care and TCM constitution), and gut-related assessments. Data analysis was performed using IBM SPSS 22.0 software for descriptive statistical analysis and inferential statistical analysis, and p <.05 was considered to have statistical significance.