View clinical trials related to Intracerebral Hemorrhage.
Filter by:Theoretical Framework & Background Cortical spreading depressions (CSD) and seizures, are crucial in the development of delayed cerebral ischemia and poor functional outcome in patients suffering from acute brain injuries such as subarachnoid hemorrhage. Multimodal neuromonitoring (MMNM) provides the unique possibility in the sedated and mechanically ventilated patients to record these electrophysiological phenomena and relate them to measures of cerebral ischemia and malperfusion. MMNM combines invasive (e.g. electrocorticography, cerebral microdialysis, brain tissue oxygenation) and noninvasive (e.g. neuroimaging, continuous EEG) techniques. Additionally, cerebral microdialysis can measure the unbound extracellular drug concentrations of sedatives, which potentially inhibit CSD and seizures in various degrees, beyond the blood-brain barrier without further interventions. Hypotheses 1. Online multimodal neuromonitoring can accurately detect changes in neuronal metabolic demand and pathological neuronal bioelectrical changes in highly vulnerable brain tissue. 2. Online multimodal neuromonitoring can accurately detect the impact of pathological neuronal bioelectrical changes on metabolic demand in highly vulnerable brain tissue. 3. The occurrence and duration of pathological neuronal bioelectrical changes are dependent on sedatives and antiepileptic drug concentrations 4. The occurrence and duration of pathological neuronal bioelectrical changes have a negative impact on functional and neurological long-term patient outcome. 5. Simultaneous invasive and non-invasive multimodal neuromonitoring can identify a clear relationship of both methods regarding pathological neuronal bioelectrical changes and metabolic brain status. Methods Systematic analysis of MMNM measurements following standardized criteria and correlation of electrophysiological phenomena with cerebral metabolic changes in all included patients. In a second step neuroimaging, cerebral extracellular sedative drug concentrations and neurological functional outcome, will be correlated with both electrophysiologic and metabolic changes. Due to numerous high-resolution parameters, machine learning algorithms will be used to correlate comprehensive data on group and individual levels following a holistic approach. Level of originality Extensive, cutting edge diagnostic methods are used to get a better insight into the pathophysiology of electrophysiological and metabolic changes during the development of secondary brain damage. Due to the immense amount of high-resolution data, a computer-assisted evaluation will be applied to identify relationships in the development of secondary brain injury. For the first time systematic testing of several drug concentrations beyond the blood-brain barrier will be performed. With these combined methods, we will be able to develop new cerebroprotective treatment concepts on an individual basis.
To evaluate the performance of the Viz ICH VOLUME algorithm.
pending
The investigators design a prospective, observational cohort study to provide contemporary information on the prevalence, characteristics, risk stratification，cost-effective ,treatments and prognosis of Chinese hospitalised adult patients with intracerebral hemorrhage.
Intracerebral hemorrhage (ICH) results from the rupture of small vessels damaged by chronic hypertension, amyloid angiopathy or other disease. Currently, ICH has been a devastating type of stroke that lacking effective therapy. Remote ischemic conditioning (RIC), a systematically protective strategy, has been found to have neuroprotective effects by in patients with ischemic stroke. In addition, animal studies show that RIC is safe in ICH model and it could accelerate the absorption of hematoma. In a previous clinical study (RICH-1), RIC have been found to be safe and well-tolerated in patients with ICH. Therefore, the investigators plan to undertake this study to further evaluate the safety and efficacy of RIC in patients with ICH. The investigators hypothesize that treatment with RIC will accelerate the absorption of hematoma and improve patients' functional outcomes. Results of this study can potentially bring into account new means to improve the outcomes of ICH patients.
In this three-year proposal, we will explore the MRI-visible EPVS in CAA and investigate its pathophysiology using animal models. Our specific aims include: (1) Establish the relationship of MRI-visible enlarged perivascular space and CAA, (2) Determine whether vascular amyloid clearance in CAA is associated with lymphatic drainage system, (3) Establish longitudinal data for MRI-visible enlarged perivascular space and cerebral amyloid angiopathy progression.
This study sought to develop and validate a new risk stratification score (Henan predicting the risk of intracerebral hemorrhage score, Henan-PRIHS) based on intra-arterial contrast enhanced Flat Detector CT (IA-CEFDCT) to predict symptomatic intra-cerebral hemorrhage (sICH) after stroke thrombectomy.
This is an observational study in neurocritical care units at University of California San Francisco Medical Center (UCSFMC), Zuckerberg San Francisco General Hospital (ZSFGH), and Duke University Medical Center. In this study, the investigators will primarily use the monitor mode of the Transcranial Doppler (TCD, non-invasive FDA approved device) to record cerebral blood flow velocity (CBFV) signals from the Middle Cerebral Artery and Internal Carotid Artery. TCD data and intracranial pressure (ICP) data will be collected in the following four scenarios. Each recording is up to 60 minutes in length. Multimodality high-resolution physiological signals will be collected from brain injured patients: traumatic brain injury, subarachnoid and intracerebral hemorrhage, liver failure, and ischemic stroke. This is not a hypothesis-driven study but rather a signal database development project with a goal to collect multimodality brain monitoring data to support development and validation of algorithms that will be useful for future brain monitoring devices. In particular, the collected data will be used to support: Development and validation of noninvasive intracranial pressure (nICP) algorithms. Development and validation of continuous monitoring of neurovascular coupling state for brain injury patients Development and validation of noninvasive approaches of detecting elevated ICP state. Development and validation of approaches to determine most likely causes of ICP elevation. Development and validation of approaches to detect acute cerebral hemodynamic response to various neurovascular procedures.
ASPIRING is an investigator-led, multicentre, prospective, randomised, open-label, blind outcome (PROBE), parallel group, clinical trial. The pilot phase will explore the feasibility of conducting a trial of starting antiplatelet monotherapy versus avoiding antiplatelet therapy for reducing all serious vascular events for adults surviving symptomatic stroke due to spontaneous intracerebral haemorrhage (ICH). The pilot phase will involve ~120 patients at ~30 hospitals in China, Australia and New Zealand.
A prospective cohort minimal risk study to determine the impact of the COVID-19 crisis on outcomes of neurologically injured ICU patients.