View clinical trials related to Acute Stroke.
Filter by:1. Using neurofilament light chain as a diagnostic tool and predictor of outcome of acute ischemic stroke 2. Using neurofilament light chain in detecting severity in old ischemic stroke
Stroke is the leading cause of adult-onset disability, and affects 15,000 Veterans each year. Successful rehabilitation and recovery following a stroke requires therapy including repetitive task training. However, repetitive task training can be draining for both the clinician and the patient as it requires the participant to complete many repetitions of the same task and those repetitions can be difficult to accomplish with appropriate technique. Robot-mediated repetitive task training has the potential to facilitate the clinical delivery of proven rehabilitation programs to Veterans in need and recently a new exoskeleton has been developed, called Harmony, which can deliver bimanual 3D arm therapy. The investigators propose to develop and test two novel controllers', synergy avoidance and task assistance, that use promising neurological basis for training to facilitate repetitive task training while ensuring correct movement patterns in acute and sub-acute stage stroke patients. This has the potential to improve Veterans' activities of daily living and quality of life.
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.
1. To assess Hemodynamic changes in rtPA receiving Acute Ischaemic Stroke patients. 2. To assess the efficacy of rtPA in treatment of Acute Ischaemic Stroke patients. 3. To correlate TCD findings (post treatment) with one of standard vascular imaging in AIS (CTA or MRA).
stroke is a leading cause of morbidity and mortality worldwide. More than half (54.5%) of the 56.9 million deaths worldwide in 2106 were due to the top 10 causes. Ischemic heart disease and stroke are the world's biggest killers, accounting for a combined 15.2 million deaths in 2106. These diseases have remained the leading causes of death globally in the last 15 years. Recent clinical trials have shown that endo-vascular thrombectomy is an effective and safe recanalization modality for acute ischemic stroke patients . Meta-analysis results show that endovascular treatment is associated with a high ratio of successful recanalization rate and a low rate of symptomatic hemorrhage . Approximately 2.2-37.5% of patients with acute ischemic stroke might encounter early neurological deterioration (END). Definition of END: An increase in NIHSS ≥4 or an increase in Ia of NIHSS ≥1 within 72 h after recanalization treatment.
This study will use evaluate a hand therapy device training isolated finger control with engaging video gaming technology to facilitate hand and digit recovery in patients with acute stroke and cervical spinal cord injury. This study will randomize patients to either standard rehabilitation care with added study-related motor training or standard rehabilitation care alone.
An investigator-initiated, evaluator-blinded, prospective, multi centre, before-and-after, effectiveness-implementation hybrid design study to assess the feasibility of essential acute stroke care in a low resource setting
Stroke is a devastating disease that affects 15 million patients worldwide each year, resulting in death in about one-third of patients and severe disability in two-thirds of the survivors. Ischemic stroke in young adults is often thought to be related to rare risk factors and etiological features that are very different from the 'traditional' vascular risk factors and etiology seen in older stroke patients. However, the increase in stroke incidence in young adults has been found to be associated with a rising prevalence of some important traditional vascular risk factors, including hypertension, hypercholesterolemia, diabetes mellitus and obesity, in this age group. Risk factors Modifiable risk factors are the same for both younger and older age groups. However, the prevalence of these risk factors is not the same in these two age groups. Hypertension, heart disease (including atrial fibrillation), and diabetes mellitus are the most common risk factors among the elderly A considerable minority of ischemic stroke cases remains etiologic-ally undefined However, there is still scant information on the role of risk factors and the clinical course in etiologic stroke sub-types. Although the risk factors of ischemic strokes are well defined, there is slight information about their relations with the etiologies of ischemic strokes. This study will investigate the distribution of ischemic stroke risk factors and their connections to diverse etiologies of cerebrovascular attack (CVA) and specific ischemic regions of brain. Considering that the prevalence of stroke risk factors rises with aging, the incidence of stroke will increase in further decades as the populations get older. The mortality and morbidity of each stroke pattern is different. So realizing the relation between stroke risk factors and its patterns can show the burden of preventing and treating every risk factor on the outcome of stroke.
Assessment of Therapeutic benefits and hazards of Mechanical Thrombectomy in Ischemic stroke patients with proximal occlusion within 4.5 hours from stroke onset.
Ischemic stroke, which is due to the occlusion of a cerebral blood vessel, comprises nearly 80-90% of all strokes. Currently, reperfusion of the salvageable tissue via thrombolytic drug or endovascular treatment is the most effective strategy to reduce brain damage. However, after recanalizing the occluded vessels, subsequent reperfusion injury is inevitable. It may not only weaken the therapeutic effects of timely reperfusion but also impede patients' recovery. Moreover, thousands of neuroprotective drugs effective in experimental models have been proved to be unsuccessful in clinical trials. Therefore, effective strategies are urgently needed to prevent and treat cerebral reperfusion injury and further improve the prognosis of acute ischemic stroke. Researchers applied remote ischemic conditioning to mouse model of focal cerebral reperfusion injury and found that it could reduce cerebral infarct size. And clinical researches demonstrated that remote ischemic conditioning was an effective strategy to improve cerebral perfusion and prevent recurrent stroke in patients with ischemic stroke. However, whether remote ischemic conditioning is safe and effective in protecting patients with large-vessel ischemic stroke and undergoing endovascular treatment is still unclear. The investigators' hypothesis is that RIC is a safe and effective strategy to reduce brain injuries in stroke patients undergoing endovascular treatment.