View clinical trials related to Stroke, Ischemic.
Filter by:Atrial Fibrillation (AF) is an abnormal heart rhythm. Because AF is often asymptomatic, it often remains undiagnosed in the early stages. Anticoagulant therapy greatly reduces the risks of stroke in patients diagnosed with AF. However, diagnosis of AF requires long-term ambulatory monitoring procedures that are burdensome and/or expensive. Smart devices (such as Apple or Fitbit) use light sensors (called "photoplethysmography" or PPG) and motion sensors (called "accelerometers") to continuously record biometric data, including heart rhythm. Smart devices are already widely adopted. This study seeks to validate an investigational machine-learning software (also called "algorithms") for the long-term monitoring and detection of abnormal cardiac rhythms using biometric data collected from consumer smart devices. The research team aims to enroll 500 subjects who are being followed after a stroke event of uncertain cause at the Emory Stroke Center. Subjects will undergo standard long-term cardiac monitoring (ECG), using FDA-approved wearable devices fitted with skin electrodes or implantable continuous recorders, and backed by FDA-approved software for abnormal rhythm detection. Patients will wear a study-provided consumer wrist device at home, for the 30 days of ECG monitoring, 23 hours a day. At the end of the 30 days, the device data will be uploaded to a secure cloud server and will be analyzed offline using proprietary software (called "algorithms") and artificial intelligence strategies. Detection of AF events using the investigational algorithms will be compared to the results from the standard monitoring to assess their reliability. Attention will be paid to recorded motion artifacts that can affect the quality and reliability of recorded signals. The ultimate aim is to establish that smart devices can potentially be used for monitoring purposes when used with specialized algorithms. Smart devices could offer an affordable alternative to standard-of-care cardiac monitoring.
The purpose of this study is to demonstrate the effectiveness and safety of CVA-FLOW, a digital health AI based Telestroke system developed by CVAID Ltd. Company aims to assist certified medical staff to triage acute ischemic stroke patients using dedicated algorithms in order to support application for market approval for CVA-FLOW device.
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.
The aim of the study was to establish tenecteplase thrombolysis database and to investigate the effectiveness and safety of rhTNK-tPA in acute ischemic stroke patients.
Stroke is one of the most threatening causes of mortality and disability worldwide. High risk non-disabling ischemic cerebrovascular events (HR-NICE), defined by mild stroke complicating with greater than 50% atherosclerotic stenosis in intracranial or extracranial arteries, is more likely to develop severe stroke in future. Currently, the clinical treatment for HR-NICE patients is limited to dual antiplatelet therapy or endovascular treatment, both of which are taken controversially due to the side effect or high risk. Enhanced external counterpulsation (EECP) is an established non-invasive treatment for circulatory support. By inflating repeatedly and sequentially from calves to hips in the early diastolic phase of every cardiac cycle, EECP has been demonstrated to increase the shear stress of blood vessels, enhance the collateral circulation and improve brain perfusion in patients with stroke. However, few studies have devoted exclusively to patients with HR-NICE. It is not clear whether EECP can improve the clinical performance or reduce the rate of recurrent stroke in 90 days. In this trial, HR-NICE patients will be divided into two groups according to true or sham EECP treatment. Based on multi-model magnetic resonance imaging, the investigators explore the central neural characteristic before and after EECP treatment.
The present study is an investigator initiated, single-centre, prospective, proof-of-concept cohort study aiming to enroll 44 patients with acute middle cerebral artery (MCA) ischemic stroke, involving the right (n=22) and left (n=22) MCA territories and 24 control patients with acute focal neurological symptoms but no evidence of acute brain infarct on DWI-MRI.
Stroke survivors frequently suffer disabilities including motor and cognitive problems, impairments in speech and vision, depression, and several other disabilities that worsen their quality of life. Some will recover fully after stroke and others will have permanent impairments. Few studies show trajectories of recovery in different domains after stroke, hence recovery time-lines are not fully known. Also, the whole range of mechanisms leading to recovery are not precisely known (1). To monitor those mechanisms one can utilize biomarkers. In parallel to the studies of recovery, studies on time series of biomarkers after stroke are limited (2). Hence, a crucial first step to increase knowledge on biomarkers of stroke recovery is to gain a better understanding of the time course of both stroke recovery and biomarker patterns. Biomarkers can later be used for outcome predictions after stroke.
The goal of this clinical trial is to investigate the use of DECT (Dual-Energy Computed Tomography) in patients with acute ischemic stroke who receive an intervention (thrombolysis or thrombectomy). The main questions to answer are: 1. Can DECT more accurately differentiate hyperdensities as intracranial haemorrhage (ICH) or contrast extravasation compared with single-energy CT (SECT)?. 2. Will DECT lead to better care for patients with AIS who receive intervention and have post-procedural hyperdensities? Patients who receive intervention for acute ischemic stroke (AIS) receive a SECT at 24 hours as standard of care to determine if ICH is present. In the current study, a DECT will be done in addition to the SECT. Followup imaging (SECT or MRI) will be done at 72 hours to determine if the hyperdensity was indeed ICH. The accuracy of DECT for differentiating ICH from contrast extravasation will be compared.
The best reperfusion strategy for medium-sized vessel occlusion (MeVO) is not well established. Given the proven treatment effect of intra-arterial thrombolysis in patients with large vessel occlusion (LVO), the investigators hypothesized that intra-arterial tenecteplase (TNK) could increase the recanalization rate of MeVO and thus improve clinical outcome. The current study aimed to explore the safety and efficacy of intra-arterial TNK in patients with MeVO.
The potential benefit of intraarterial tenecteplase in acute basilar artery occlusion (BAO) patients with successful reperfusion following endovascular treatment (EVT) has not been studied. The current study aimed to explore the efficacy and safety of intraarterial tenecteplase in acute BAO patients with successful reperfusion after EVT.