Using Machine Learning and Biomarkers for Early Detection of Delayed Cerebral Ischemia
NCT ID: NCT06069973
Last Updated: 2026-01-12
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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RECRUITING
1500 participants
OBSERVATIONAL
2024-01-01
2033-12-31
Brief Summary
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Detailed Description
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Machine learning algorithms for predicting outcomes after delayed cerebral ischemia using a combination of clinical and imaging data have emerged. Nevertheless, prediction of delayed cerebral ischemia does not prevent it; to prevent delayed cerebral ischemia, an easily applied, cheap and reliable monitoring system that can warn physicians of the imminent risk of cerebral ischemia needs to be developed, making it possible to intervene.
The overall goal of this project is to develop methods that enable the detection of upcoming or ongoing cerebral ischaemia in patients with subarachnoid haemorrhage
Our primary aims are:
* To develop a machine learning-based model that can identify patterns in signals obtained from HRV, NIRS, and EEG monitoring, which are consistent with upcoming cerebral ischemia and provide a warning about this to attending physicians.
* To define the specificity and time relation of neurospecific biomarkers in blood and cerebrospinal fluid in patients with subarachnoid haemorrhage with and without delayed cerebral ischemia to evaluate if any of these biomarkers can be used as an indicator for ongoing cerebral ischemia.
* To assess the prognostic value of changes in physiological and neurospecific biomarkers changes during the acute phase after subarachnoid hemorrhage on long-term outcome.
Conditions
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Study Design
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COHORT
PROSPECTIVE
Study Groups
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Delayed cerebral ischemia
Definition by Vergouwen et al. Verified by computed tomography
No intervention, observational study
No intervention
Non-delayed cerebral ischemia
No signs of cerebral ischemia clinically or by computed tomography.
No intervention, observational study
No intervention
Interventions
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No intervention, observational study
No intervention
Eligibility Criteria
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Inclusion Criteria
Exclusion Criteria
* Cardiac arrythmia,
* Previous brain damage
18 Years
110 Years
ALL
No
Sponsors
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Sahlgrenska University Hospital
OTHER
Responsible Party
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Linda Block
Dr
Locations
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Sahlgrenska University Hospital
Gothenburg, , Sweden
Countries
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Facility Contacts
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Other Identifiers
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CIDAI-BAS-SAH
Identifier Type: -
Identifier Source: org_study_id
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