View clinical trials related to Stroke.
Filter by:The study is focused on the evaluation of the feasibility, usability, acceptability, tolerance, functional impact and organizational impact of the use of a wearable prehension neuroprosthesis (innovative medical device) at home, with triggering methods specifically adapted to a population of hemiparetic post-stroke subjects. The main objective is to describe the overall therapeutic compliance represented by the number of uses of the neuroprosthesis in real-life situations.
: Aim: Stroke is increasing day by day in our country as in the world. Early rehabilitation after stroke accelerates motor-sensory gains of individuals. This also increases the quality of life. Although there are studies on post-stroke rehabilitation in our country, rehabilitation applications with virtual reality application are very limited. For this reason, the research was carried out to determine the effect of home therapy with virtual reality application on motor-sensory gains and quality of life after stroke. Material and method: The research was conducted as a randomized controlled experimental study. The universe of the research; Between December 2021 and May 2022, individuals who met the criteria for inclusion in the study who applied for home care to Erzurum Atatürk University Health Application and Research Center Physical Therapy Unit with the diagnosis of loss of movement in the upper extremity after stroke were formed. The sample size for the research was determined by power analysis. In the power analysis, it was determined that a total of 52 people should be reached in order to reach the 95% confidence level at the 0.05 significance level and 80% power at the p<0.05 significance level. Considering that there may be data losses in the study, it was decided to reach 60 people, 15% more than the sample. "Descriptive Feature Form", "Brunnstrom Staging" and "SF-36 Quality of Life Scale" were used to collect data.In the analysis of data; percentile distribution, chi-square, Fisher-Freeman- Halton Exact test, t-test in independent groups, Repeated Measures ANOVA Test, Friedman Test, One Way ANOVA test, Kruskall Wallis test, and post hoc analyzes (Bonferroni, Games Howell, Dunn) were used.
The goal of this clinical trial is to evaluate whether intra-arterial (IA) rhTNK-tPA thrombolysis can improve neurological outcomes in acute large vessel occlusion patients after successful mechanical thrombectomy (MT) recanalization between 4.5- 24 hours from symptom onset. Participants enrolled will be randomly assigned to study or control arm with a 1:1ratio. Study group will receive IA rhTNK-tPA thrombolysis (0.125 mg/kg, Max 12.5mg) plus best medical management, and control receive best medical management alone.
Objective: To investigate the incidence, clinical characteristics and prognosis of acute ischemic and hemorrhagic cerebrovascular disease secondary to the implantation of cardiovascular implantable electronic devices, so as to provide a basis for subsequent treatment strategies and risk factor stratification. Methods: This study intends to retrospectively collect the incidence and case characteristics of acute cerebral infarction, cerebral embolism, transient ischemic attack and cerebral hemorrhage in CIED patients admitted to the First Affiliated Hospital of Xi 'an Jiaotong University and other centers from January 2012 to September 2022. Then, the incidence of poor prognosis and related factors of patients within 3 months were followed up by telephone to provide a basis for subsequent treatment strategy and risk factor stratification.
Post-stroke sleep disorder and motor/cognitive dysfunction are common complications that affect the quality of life of older patients. The proposed study investigates the effects of an acupuncture-like method applied to six bilateral acupoints on sleep quality, motor function and cognition in older adults with chronic stroke. The study will be a single-blind (i.e., only patients will be blinded about the research purpose) randomized controlled trial (i.e., patients receiving the treatment is chosen at random) with a pre-mid-post follow-up design and involve two parallel groups of post-stroke survivors (aged > 55 years) diagnosed with insomnia. Participants will be randomly allocated in a 1:1 radio to two independent groups, i.e., a treatment group or placebo group, namely a transcutaneous electrical nerve stimulation placed on acupoints (Acu-TENS) or a placebo group. The Acu-TENS group will receive a 6-week treatment that includes a 30-minute Acu-TENS + sleep hygiene program (SHP) twice a week. The placebo group will receive sham Acu-TENS (i.e., devices with the electrical circuit disconnected) + SHP with the same frequency as the Acu-TENS group. The selected acupoints will be bilateral Hegu (LI4), Quchi (LI11), Neiguan (PC6), Shenmen (HT7) on the arm and Sanyinjiao (SP6) and Zusanli (ST36) on the lower limb. The study's primary outcomes will be sleep quality measured by the device of ActiGraph and the self-report survey. The secondary outcomes will be motor function, measured by physical performance tests, cognition, measured by computer battery, and quality of life, measured by the self-report survey. All outcomes will be measured at the baseline assessment (before the treatment), mid-term assessment (after the three weeks treatment), post-treatment assessment (after the six-week treatment), and follow-up assessment (two weeks after the treatment ended). It is hypothesized that the Acu-TENS + SHP treatment will better alleviate insomnia, improve cognition and motor function in participants than the sham Acu-TENS + SHP treatment.
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.
Human development as a species has been strongly associated with the ability to dexterously manipulate objects and tools. Unfortunately, current therapy efforts typically fail to restore fine manual control after stroke. The goal of this study is to evaluate a new intervention that would combine targeted electrical stimulation of selected nerves with use a soft, pneumatically actuated hand exoskeleton to enhance repetitive practice of independent movements of the fingers and thumb in order to improve rehabilitation of hand function after stroke. The investigators will recruit stroke survivors in the subacute phase of recovery (2-9 months post-stroke). These participants will be involved in a 5-week intervention involving 15 training sessions. During these sessions, participants will train independent movement of the digits of the paretic hand. Evaluation of motor control of the paretic hand will occur prior to initiation of training, at the midpoint of the training period, after completion of training, and one month later.
When an individual experiences a sudden onset of neurological symptoms, such as one-sided weakness, visual abnormalities, and/or slurred speech, there is concern that they are having a transient ischemic attack/stroke. A stroke is a medical emergency that requires immediate treatment and further evaluation to prevent a future stroke. Unfortunately, when a patient presents to the emergency department or a clinic with transient or mildly observable neurological symptoms, it is difficult to diagnose a stroke and many times, imaging may not reveal a stroke. This poses the risk of discharging patients without appropriate stroke care. This study aims to evaluate the feasibility of administering portable electroencephalogram (EEG) devices to diagnose transient ischemic attack/stroke. An EEG is a device that measures electrical activity in the brain. This study involves comparing EEG data of individuals who present with transient neurological symptoms or have known stroke with EEG data of generally healthy individuals. From this study, the investigators anticipate that it will be feasible to administer portable EEG and that portable EEG can be used to accurately diagnose stroke.
To observe the safety and efficacy of intensive drug therapy for ischemic stroke patients.Patients with acute stroke caused by intracranial arterial stenosis (stenosis rate ≥70%) were enrolled and accept dual antiplatelet therapy (DAPT) (aspirin 100 mg/d and clopidogrel 75 mg/d for 90 days, followed by aspirin 100 mg/d for long term) under the guidance of platelet function analysis (Verifynow) combined with the intensive statin therapy (40 mg/d for 14 days, followed by 20 mg/d for long term).
The Smart Ankle-Foot Orthosis (Smart AFO) system is an investigational system that combines a diagnostic ankle-foot orthosis with a mobile application to assist clinicians in optimizing an AFO user's gait by adjusting AFO stiffness and range of motion settings, and quantifying functional walking improvements in post-stroke individuals. The purpose of the clinical testing is to evaluate the Smart AFO system with its target users: post-stroke AFO users and orthotists. This may include, but is not limited to, identifying any aspects of the Smart AFO system that could be improved through clinical testing and evaluating the gait of post-stroke AFO users walking with an AFO adjusted using the Smart AFO system.