Using Machine Learning and Biomarkers for Early Detection of Delayed Cerebral Ischemia

Recruiting Observational Study
Ischemic Stroke Hemorrhagic Stroke
No Placebo Group Every participant receives an active treatment — no one gets a placebo. No Study Drug Researchers observe your health over time — no experimental treatment is given.
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At a Glance
Age
18 – 110
Sex
Any
Study type
Observational
Participants needed
1,500 (estimated)
Sponsor
Sahlgrenska University Hospital · Other
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About This Trial
The overall goal of this project is to determine if machine learning and analysis of neurospecific biomarkers can enable early detection of upcoming or ongoing cerebral ischaemia in patients suffering from subarachnoid haemorrhage with altered consciousness due to cerebral injury or sedation. Analyses of heart rate variability, electroencephalgraphy,nearinfrared spectroscopy, cerebral autoregulati…
Trial Locations
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Eligibility Criteria
Inclusion Criteria: Patients over the age of 18 with aneurysmal subarachnoid hemorrhage admitted to intensive care units at Sahlgrenska University hospital. Exclusion Criteria: * Unable to consent, * Cardiac arrythmia, * Previous brain damage
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