Detection of Cerebral Ischemia With Artificial Intelligence.
NCT ID: NCT03919370
Last Updated: 2026-02-06
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
60 participants
OBSERVATIONAL
2020-10-01
2024-12-31
Brief Summary
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This will be registered by the devices. The information obtained will be used to teach artificial intelligence what patterns are related to cerebral ischemia. The same procedure will be performed in patients undergoing ocklusive cerebral trombectomy, so the artificial intelligence will learn to recognize cerebral reperfusion.Blood samples will be drawn before and after cerebral ischemia may occur and will be analyzed for neurobiomarkers and cardiac biomarkers. To teach the algorithm patterns from anaesthesia and surgery in patients without pre existing neuronal injury, the same method will be applied to patients undergoing mixed abdominal surgery. This group will provide a better knowledge of neuro biomarker patterns during anesthesia and surgery.
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Detailed Description
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Blood sampling will occur before anesthesia induction and 2 and 24 hours after surgery or plausible ischemia for patients undergoing surgery for carotid endarterectomy. For patients undergoing acute thrombectomy blood sampling will be performed as soon as possible after the patient has arrived to the hospital as well as 2 hours and 24 hours later. For patients undergoing mixed abdominal surgery, sampling will be done before anesthesia induction and 2 hours and 24 hours after surgery.
Additionally, blood from the thrombectomy cohort and the control cohort will be analyzed by an external party OLIMK, Uppsala. This is an explorative study aiming to find new biomarkers for detection of cerebral ischemia. Blood from both cohorts will be analyzed for 384 neurology biomarkers.
Conditions
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Study Design
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COHORT
PROSPECTIVE
Study Groups
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Cerebral ischemia
Patients undergoing planned surgery for carotid stenosis
No intervention
there will be NO intervention
Reperfusion
Patients undergoing cerebral trombectomy.
No intervention
there will be NO intervention
Anaesthesia and surgery
Patients without preexisting cerebral injury undergoing abdominal surgery and anaesthesia
No intervention
there will be NO intervention
Interventions
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No intervention
there will be NO intervention
Eligibility Criteria
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Inclusion Criteria
* Giving informed consent to participate
Exclusion Criteria
18 Years
100 Years
ALL
No
Sponsors
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Göteborg University
OTHER
Linda Block
OTHER
Responsible Party
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Linda Block
Doctor, MD, PhD
Principal Investigators
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Linda Block, PhD
Role: PRINCIPAL_INVESTIGATOR
Inst Clin Sciences
Locations
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Sahlgrenska University hospital
Gothenburg, Sweden, Sweden
Countries
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References
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Block L, El-Merhi A, Liljencrantz J, Naredi S, Staron M, Odenstedt Herges H. Cerebral ischemia detection using artificial intelligence (CIDAI)-A study protocol. Acta Anaesthesiol Scand. 2020 Oct;64(9):1335-1342. doi: 10.1111/aas.13657. Epub 2020 Jul 2.
Other Identifiers
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CIDAI-BAS
Identifier Type: -
Identifier Source: org_study_id
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