Machine Learning and Biomarkers for Early Detection of Delayed Cerebral Ischemia
Status: Recruiting
Location: See location...
Intervention Type: Other
Study Type: Observational
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
Participation Requirements
Sex: All
Minimum Age: 18
Maximum Age: 110
Healthy Volunteers: f
View:
• Patients over the age of 18 with aneurysmal subarachnoid hemorrhage admitted to intensive care units at Sahlgrenska University hospital.
Locations
Other Locations
Sweden
Sahlgrenska University Hospital
RECRUITING
Gothenburg
Time Frame
Start Date: 2024-01-01
Estimated Completion Date: 2033-12-31
Participants
Target number of participants: 1500
Treatments
Delayed cerebral ischemia
Definition by Vergouwen et al. Verified by computed tomography
Non-delayed cerebral ischemia
No signs of cerebral ischemia clinically or by computed tomography.
Related Therapeutic Areas
Sponsors
Leads: Sahlgrenska University Hospital