Monitoring Neurological Deterioration in Anaesthetised Patients With Electroencephalogram (EEG)
1 other identifier
observational
150
1 country
1
Brief Summary
The incidence of perioperative stroke in the non-cardiac, non-vascular, non-neurological high risk surgical population is 2%. It is higher (\~5%) for cardiac surgery and carotid endarterectomy patients, with a stroke associated mortality of up to 60%. These patients could be immediately treated if their condition was detected on time. Currently, there is no standard brain monitoring procedure for anaesthetised patients. The purpose of the proposed study is to optimize and validate an online monitor for neurological deterioration under anaesthesia based on an easily operatable EEG system comprised of 4 electrodes, a reference electrode and a newely developed algorithm for analyzing the EEG signal. The monitor aims at generating an immediate warning at the onset of neurological deterioration. For the purpose of technology development with a minimal sample size, it is necessary to select a patient population that demonstrates significant neurological dynamics under anaesthesia. We will therefore focus on anesthesized patients undergoing neurovascular thrombectomy after CVA.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for all trials
Started Feb 2016
Longer than P75 for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
Study Start
First participant enrolled
February 1, 2016
CompletedFirst Submitted
Initial submission to the registry
February 9, 2016
CompletedFirst Posted
Study publicly available on registry
February 25, 2016
CompletedPrimary Completion
Last participant's last visit for primary outcome
December 1, 2024
CompletedStudy Completion
Last participant's last visit for all outcomes
December 1, 2025
CompletedDecember 8, 2023
December 1, 2023
8.8 years
February 9, 2016
December 7, 2023
Conditions
Outcome Measures
Primary Outcomes (1)
EEG-based interhemispheric synchronization index
Interhemispheric synchronization is measured retrospectively - for the whole period the patient is under general anesthesia
Study Arms (2)
patients undergoing thrombectomy
150 anesthetized patients undergoing intra-arterial catheterization for thrombectomy after CVA. The patients will be recruited at the Rambam Health Center, Haifa, Israel. The patients will undergo EEG recording during the procedure, without changing patient's standard treatment care. The EEG recording will continue after the procedure for four hours approximately, while the patients are admitted to intensive care unit (ICU).
Control - healthy individuals
20 health individuals under general anesthesia or sedation for other surgery or procedures. They will undergo EEG recording during the surgery/ procedure, to validate the sensitivity of the EEG to the effect of the anaesthetic medications.
Interventions
Routine tests for patients after CVA. This include: neurologic evaluation, Brain CT, Angiography
Eligibility Criteria
Patients with CVA undergoing percutaneous thrombectomy under general anesthesia
You may qualify if:
- Informed consent (by individual or guardian)
- Undergoing thrombectomy procedure under anaesthesia for acute CVA
- for control:
- Healthy individual, with no neurological disease undergoing sedation for procedure
You may not qualify if:
- Age \< 18 years
- no informed consent
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Rambam Health Care Campus
Haifa, Israel
Related Publications (7)
Shahaf DB, Shahaf G, Mehta J, Venkatraghavan L. Intracarotid Etomidate Decreases the Interhemispheric Synchronization in Electroencephalogram (EEG) During the Wada Test. J Neurosurg Anesthesiol. 2016 Oct;28(4):341-6. doi: 10.1097/ANA.0000000000000241.
PMID: 26536542BACKGROUNDMozaffarian D, Benjamin EJ, Go AS, Arnett DK, Blaha MJ, Cushman M, de Ferranti S, Despres JP, Fullerton HJ, Howard VJ, Huffman MD, Judd SE, Kissela BM, Lackland DT, Lichtman JH, Lisabeth LD, Liu S, Mackey RH, Matchar DB, McGuire DK, Mohler ER 3rd, Moy CS, Muntner P, Mussolino ME, Nasir K, Neumar RW, Nichol G, Palaniappan L, Pandey DK, Reeves MJ, Rodriguez CJ, Sorlie PD, Stein J, Towfighi A, Turan TN, Virani SS, Willey JZ, Woo D, Yeh RW, Turner MB; American Heart Association Statistics Committee and Stroke Statistics Subcommittee. Heart disease and stroke statistics--2015 update: a report from the American Heart Association. Circulation. 2015 Jan 27;131(4):e29-322. doi: 10.1161/CIR.0000000000000152. Epub 2014 Dec 17. No abstract available.
PMID: 25520374BACKGROUNDMoritz S, Kasprzak P, Arlt M, Taeger K, Metz C. Accuracy of cerebral monitoring in detecting cerebral ischemia during carotid endarterectomy: a comparison of transcranial Doppler sonography, near-infrared spectroscopy, stump pressure, and somatosensory evoked potentials. Anesthesiology. 2007 Oct;107(4):563-9. doi: 10.1097/01.anes.0000281894.69422.ff.
PMID: 17893451BACKGROUNDJauch EC, Saver JL, Adams HP Jr, Bruno A, Connors JJ, Demaerschalk BM, Khatri P, McMullan PW Jr, Qureshi AI, Rosenfield K, Scott PA, Summers DR, Wang DZ, Wintermark M, Yonas H; American Heart Association Stroke Council; Council on Cardiovascular Nursing; Council on Peripheral Vascular Disease; Council on Clinical Cardiology. Guidelines for the early management of patients with acute ischemic stroke: a guideline for healthcare professionals from the American Heart Association/American Stroke Association. Stroke. 2013 Mar;44(3):870-947. doi: 10.1161/STR.0b013e318284056a. Epub 2013 Jan 31.
PMID: 23370205BACKGROUNDForeman B, Claassen J. Quantitative EEG for the detection of brain ischemia. Crit Care. 2012 Dec 12;16(2):216. doi: 10.1186/cc11230. No abstract available.
PMID: 22429809BACKGROUNDShahaf G, Pratt H. Thorough specification of the neurophysiologic processes underlying behavior and of their manifestation in EEG - demonstration with the go/no-go task. Front Hum Neurosci. 2013 Jun 24;7:305. doi: 10.3389/fnhum.2013.00305. eCollection 2013.
PMID: 23805094BACKGROUNDShahaf G, Fisher T, Aharon-Peretz J, Pratt H. Comprehensive analysis suggests simple processes underlying EEG/ERP - demonstration with the go/no-go paradigm in ADHD. J Neurosci Methods. 2015 Jan 15;239:183-93. doi: 10.1016/j.jneumeth.2014.10.016. Epub 2014 Nov 1.
PMID: 25445244BACKGROUND
Study Officials
- STUDY DIRECTOR
Dana Baron Shahaf, MD PhD
Rambam Health Care Center
Central Study Contacts
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
February 9, 2016
First Posted
February 25, 2016
Study Start
February 1, 2016
Primary Completion
December 1, 2024
Study Completion
December 1, 2025
Last Updated
December 8, 2023
Record last verified: 2023-12
Data Sharing
- IPD Sharing
- Will not share