- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT04412434
EEG Patterns in Patients With Acute Ischemic Stroke Resulted From Large Vessels Occlusion in the Anterior Circulation
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
Rationale. Despite the exciting developments in the treatment of acute ischemic stroke (AIS) in last years, the problem of neurological deterioration in patients with AIS remains unresolved and poorly understandable. This is especially correct about patients with AIS resulted from large vessel occlusion (LVO), mainly internal carotid artery (ICA) and middle cerebral artery (MCA) occlusion. Such deterioration is observing in up to forty percent of patients with acute ischemic stroke due to LVO. On the other side, according to the literature about 40 % of LVO strokes resulted from atrial fibrillation. Until now, there is no automated monitoring system for early detection of neurological deterioration in AIS patients. Such monitoring system may save millions of lives of stroke victims all over the world. As a first step to develop such system based on change of brain electrical activity registered by electroencephalography (EEG) in patients with AIS investigators suggest this study.
Overall goal. The aim of the suggested research is to evaluate patterns of brain electrical activity registered by EEG in patients with AIS attributed to the MCA or ICA territory in correlation with location and extension of ischemic lesions as determined by non-contrast CT (NCT). Based on these data, the attempt to find algorithms, describing such correlation will be done.
Target population. The prospective study will include at least 200 AIS patients with acute stroke resulted from MCA or ICA occlusion.
Methods. Non contrast CT and EEG will be done at the same day. Neurologist will evaluate neurological status at the day of EEG and CT performing and clinical score by National Institute of Health Stroke Scale (NIHSS) will be obtained. EEG will be performed continuously for at least 30 minutes with 19-channel EEG machine.
Assessment. After gathering clinical, EEG and NCT data mathematical and computerized analysis (including Artificial Intelligence methods) will be applied aiming to find algorithms describing relationship between size and location of AIS and change in brain electrical activity registered by EEG in AIS patients.
Study Type
Enrollment (Anticipated)
Phase
- Not Applicable
Contacts and Locations
Study Contact
- Name: Gregory Telman, MD
- Phone Number: 972-47772161
- Email: g_telman@rmc.gov.il
Study Contact Backup
- Name: Svetlana Afanasiev, MPH
- Phone Number: 972-47771926
- Email: s_afanasiev@rmc.gov.il
Study Locations
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-
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Haifa, Israel
- Recruiting
- Rambam MC
-
Contact:
- Svetlana Afanasiev, MPH
- Phone Number: 972-47771926
- Email: s_afanasiev@rmc.gov.il
-
Contact:
- Gregory Telman, MD
- Phone Number: 97247772161
- Email: g_telman@rmc.gov.il
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Description
Inclusion Criteria:
- Patients with acute ischemic stroke, due to large vessel occlusion
- Age of 18 years and more
- Male or Female
- Modified Rankin Scale of ≤ 2 prior to presentation
- NIHSS ≥ 4 at the day of NCT and EEG
Exclusion Criteria:
- Epilepsy
- Brainstem or cerebellar stroke
- Intracranial or extracranial hemorrhage of any kind
- History of severe head trauma
- History of severe dementia or progressive neurodegenerative disease
- Cerebral tumor or hydrocephalus by anamnesis or by imaging
- Lacunar stroke
- Significant movement disorder.
- Local skull or skin condition, preventing EEG electrode application.
- Any known disorder, which may interfere with the protocol implementation.
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Diagnostic
- Allocation: N/A
- Interventional Model: Single Group Assignment
- Masking: None (Open Label)
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
|---|---|
|
Other: patients with acute ischemic stroke
This open-label prospective study will be conducted in the single medical center (RAMBAM Medical Center) and will include at least 200 patients with acute ischemic stroke resulted from MCA or ICA occlusion.
|
Electroencephalography (EEG) is a painless and harmless method to record the bioelectric activity of the brain. Clinically, EEG refers to the recording of the brain's spontaneous electrical activity over a period of time, as recorded from multiple electrodes placed on the scalp This method can be helpful in the diagnosis of many various brain diseases and pathological conditions. For the examination, electrodes are placed on the head, using a special harmless gel, similar to gel, used in ultrasonographic studies. |
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
EEG pattern
Time Frame: 24 months
|
EEG patterns depending on size and location of acute ischemic stroke,including generalized or focal slowing or both and epileptiform discharges
|
24 months
|
Collaborators and Investigators
Sponsor
Investigators
- Principal Investigator: Gregory Telman, MD, Rambam Health Care Campus
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Anticipated)
Study Completion (Anticipated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
- 0297-20 RMB
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
product manufactured in and exported from the U.S.
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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