NCT06069973 Using Machine Learning and Biomarkers for Early Detection of Delayed Cerebral Ischemia
| NCT ID | NCT06069973 |
| Status | Recruiting |
| Phase | — |
| Sponsor | Sahlgrenska University Hospital |
| Condition | Ischemic Stroke |
| Study Type | OBSERVATIONAL |
| Enrollment | 1,500 participants |
| Start Date | 2024-01-01 |
| Primary Completion | 2033-12-31 |
Trial Parameters
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Brief Summary
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 autoregulation, and brain injury specific biomarkers in blood and cerebrospinal fluid will be performed.
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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