View clinical trials related to Stroke.
Filter by:The eye has long been recognized as a window to pathological processes occurring in the brain. By imaging the vascular system of the retina scientific understanding and clinical practice have been improved for a wide range of pathologies from diabetes to stroke and dementia. Adaptive optics (AO) reveals retinal details that remain invisible with other current imaging techniques. Indeed, vessels can be perfectly visualized, making it possible to detect wall irregularities, accurately measure their different structures and monitor their evolution under treatment if necessary. In AO, studies on retinal vessels involve the calculation of wall thickness (WT), outer diameter (OD), inner diameter (ID), wall cross-sectional area (WCSA) and wall to lumen ratio (WLR). An increase in WLR > 0.31 is characteristic of hypertensive microangiopathy and predictive of cardiovascular and brain damage. This accurate assessment of microvascular structure may even be required in the near future in all patients with arterial hypertension. For vessels > 300 microns in diameter, the increase in vessel wall thickness occurs without changing the ID, a process known as external hypertrophic remodeling. For small arteries < 300 microns, remodeling occurs differently. The total volume of the vessel wall remains constant, but the OD and ID each decrease, a process known as inward eutrophic remodeling. The objective of this study is to describe the parameters measured in AO in patients in the acute phase of a stroke and then at 3 months.
The purpose of the DYNAMITE trial (Dynamic CT stress myocardial perfusion, CT fractional flow reserve (FFR-CT) and coronary CT angiography for optimized treatment strategy in patients with chest pain syndromes) is to determine the ability of combined anatomical and functional cardiac CT imaging to improve morbidity and mortality in patients with suspected or known ischemic heart disease.
The WE-TRUST study is a multi-center randomized clinical trial to assess the impact of a Direct to Angio Suite (DTAS) workflow on stroke patient outcomes.
FAST and Stroke-112 are two campaigns to reduce the emergency room arrival time of stroke patients. No study has evaluated the effectiveness of these campaigns. This study aimed to compare recalling capacity of people in these two campaigns.
Loss of arm function is a common and distressing consequence of stroke. Neurotechnology-aided rehabilitation could be a promising approach to accelerate the recovery of upper limb functional impairments. This multicentre randomized controlled trial is aimed at assessing the efficacy of robot-assisted upper limb rehabilitation in subjects with sub-acute stroke following a stroke, compared to the traditional upper limb rehabilitation.
Acute ischemic stroke (AIS) has been one of the major causes of global mortality and morbidity. The superiority of endovascular therapy (EVT) over standard medical therapy in treating AIS due to large vessel occlusion (LVO) in the anterior circulation has been widely accepted. However, a critical concern is that even with an extremely high rate of successful recanalization (the modified thrombolysis in cerebral infarction [mTICI] score 2b-3) around 90%, nearly half of the patients failed to benefit from EVT. So, adjunctive therapy of EVT for neuroprotection is required. From the previous domestic and foreign literatures, hypothermia can prevent and treat secondary injury caused by ischemia-reperfusion injury and cerebral edema of acute cerebral ischemia, so as to achieve the role of neuroprotection. In this study, intravascular cooling was performed as soon as possible with careful temperature control in patients receiving thrombectomy. The temperature was controlled at 33° C for 48-72 hours. This parallel controlled study is to systematically evaluate the feasibility and safety of adjunctive therapy using early intravascular hypothermia in AIS patients receiving mechanical thrombectomy. The results will clarify a potential modality for neuroprotection and hopefully provide new evidence in improving patient prognosis.
After a stroke, individuals present with motor and/or cognitive impairments. These impairments limit activity, restrict participation and affect quality of life. Therefore, rehabilitation programs are provided from the earliest days. However, an important proportion of patients do not achieve the recommended amount of rehabilitation therapy (even in institutional systems). In fact, patients do not always have access to healthcare systems. Moreover, hospital resources and healthcare systems are often limited (especially in poor countries) which has led to the development of new cost-effective rehabilitation methods such as self-rehabilitation and tele-rehabilitation. This study aims : 1. to develop and validate relevant self-assessments tools in virtual reality 2. to propose auto-adaptative virtual reality-based therapies based on the link between motor and cognitive functions.
Postural and balance disorders are common in neurological disorders. They are often associated with reduced mobility and fear of falling, which strongly limit independent activities of daily living (ADL), compromise the quality of life and reduce social participation. Here the investigators apply an existing software solution to: 1) obtain biomarkers of gait deficits in 5 neurological conditions, 2) develop an automatic procedure supporting clinicians in the early identification of patients at high risk of falling as to tailor rehabilitation treatment; 3) longitudinally assess these patients to test the efficacy of rehabilitation. High-density electroencephalography (EEG), and inertial sensors located at lower limbs and at upper body levels will be used to extract the most appropriate indexes during motor tasks. The ultimate goal is to develop cost-effective treatment procedures to prevent recurrent falls and fall-related injuries and favour the reintegration of the patient into everyday activities. The first hypothesis of this study is that clinical professionals (e.g., medical doctors and rehabilitative staff) would strongly benefit from the possibility to rely on quantitative, reliable and reproducible information about patients motor deficits. This piece of information can be nowadays readily available through miniaturized wearable technology and its information content can be effectively conveyed thanks to ad hoc software solution, like the A.r.i.s.e. software. The second hypothesis of the present study is that early identification of patients at high risk of dependence and the subsequent application of personalized treatment would allow for cost-effective treatment procedures to favor the autonomy into everyday activities. The results of this project could represent a valuable support in the clinical reasoning and decision-making process.
The purpose of this clinical pilot study is to evaluate the effects of the MR-010 on tolerability, biomechanics and walking speed in the acute stroke care setting in addition to its impact on length of stay.
Stroke is the most common neurological disease leaving one third dead and one third with permanent impairment despite best medical treatment. The aim of the present study is to investigate why patients differ in how they benefit from neurorehabilitation by collecting clinical, electrophysiological, imaging and laboratory data in the acute phase of stroke as well as later on during rehabilitation and after 90 days. Following a closed-loop approach the data is analyzed by a machine learning algorithm to create a personalized neurorehabilitation strategy.