Active clinical trials for "Stroke"

Based on a 2017 US study that developed an algorithm for predicting independent walking recovery after stroke, we propose a prospective study to assess the validity and applicability of this algorithm in the majority of stroke patients with walking dependence and to confirm its performance. This study will therefore include adult patients, hospitalised in the Neurology Department of Caen University Hospital, and presenting a dependence on walking according to the FAC (Functional Ambulation Categories) scale in the first week after stroke. Treated by M. Pierre-Alexis Rousseau (medical intern for Physical and Rehabilitation Medicine), under the direction of Dr. Alexis Ruet, and in collaboration with the physiotherapists of the Neurology Department (Delphine Lebreton and Daphne Scelles), this study is planned to include patients in the initial phase of the stroke, and to continue to follow up the patients until 6 months after their inclusion. The aim of this work is to evaluate the performance of the TWIST algorithm in predicting walking recovery after stroke according to trunk control (using the Trunk Control Test) and hip extension strength (using the Medical Research Council score), and to analyse other factors that may potentially influence walking recovery (such as visual field amputation, neglect, ataxia, depression, undernutrition).

The investigators collect and analyze the alpha and beta wave of EEG activity at the motor cortices of the participants, When the motor task is being performed. The Brodmann area 10-20 method and portable EEG equipment was used in the single-center study.

The primary aim of this study is to assess if there is a difference in first pass reperfusion between the two devices. This is a randomized prospective study to assess if there is a difference in first pass reperfusion at two centers with large mechanical thrombectomy volumes. Data will also be collected on time-to treatment, outcomes and hemorrhagic complications.

An observational study to determine if individuals with increased platelet FcyRIIa will have a higher risk of ischemic events.

The purpose of this study is to identify neural muscle synergies of patients post-stroke and track them during an inpatient acute rehabilitation. To this end, the researchers will use an innovative approach based on the identification of large populations of motor units from recordings of surface high-density electromyography (HD-EMG).

Thrombus shedding in patients with atrial fibrillation (AF) can lead to cerebral artery embolism. Stroke caused by AF is very dangerous, which not only threatens the life of patients, but also seriously affects the quality of life. This study aims to explore the biomarkers of stroke in patients with AF by integrating proteomics and metabolomics data, and establish the network relationship of stroke in patients with AF, so as to reveal the molecular mechanism of stroke in patients with AF.

Patients undergoing coronary artery bypass grafting up tp 30% will develop postoperative right ventricle dysfunction. Its imperative for the physician to fully understand the severity of this complication in order to perform an early diagnosis and carry out the appropriate treatment. Aim: Investigate the correlation between echocardiographic measurements and hemodynamic changes at different time points in patients undergoing coronary artery bypass graft surgery Hypothesis: Weak correlation between echocardiographic measurements and hemodynamic changes during coronary artery bypass graft surgery Echocardiographic measurements would change across different time points during surgery independent of hemodynamic values.

Pathology registers are scientific research tools for the development of epidemiological and clinical studies and health planning, which allows access to useful elements for planning adequate health services. The Registry collects demographic, clinical and functional data of stroke patients and arises from the need to order and update this information for epidemiological and research purposes, for a better knowledge of this pathology from a rehabilitation point of view and to accelerate the development of new treatments.

Recent studies have found a close relationship between acute ischemic stroke(AIS) and gut microbiota, but whether the dynamic changes in human microbiome after stroke can predict poor prognosis of stroke remains unclear. Therefore, we planned to explore the predictive value of human microbiome and its metabolites in stroke prognosis through a multicenter cohort study

CRAST is to analyze the expression pattern of circular RNA (circRNA) by bioinformatics analysis in patients with acute ischemic stroke and healthy control. The candidate circRNA will be verified as biomarkers for the detection and prognosis of acute ischemic stroke.