RecruitingNCT06069973

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

Machine Learning and Biomarkers for Early Detection of Delayed Cerebral Ischemia

Sponsor

Sahlgrenska University Hospital

Enrollment

1,500 participants

Start Date

Jan 1, 2024

Study Type

OBSERVATIONAL

Conditions

Ischemic Stroke Hemorrhagic Stroke

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

Min Age: 18 YearsMax Age: 110 Years

Inclusion Criteria1

Patients over the age of 18 with aneurysmal subarachnoid hemorrhage admitted to intensive care units at Sahlgrenska University hospital.

Exclusion Criteria3

Unable to consent,
Cardiac arrythmia,
Previous brain damage

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Interventions

OTHERNo intervention, observational study

No intervention

Locations(1)

Sahlgrenska University Hospital

Gothenburg, Sweden

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NCT06069973

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