Machine learning and blood tests to detect delayed cerebral ischemia early
Official title: Machine Learning and Biomarkers for Early Detection of Delayed Cerebral Ischemia
Run by Sahlgrenska University Hospital · NCT06069973 · Data updated 2026-11-12
This project will test whether combining machine learning with brain-related blood markers and bedside monitoring can spot or predict delayed cerebral ischemia in adults with aneurysmal subarachnoid hemorrhage in intensive care.
Quick facts
| Study type | Observational |
|---|---|
| Ages | 18 Years to 110 Years |
| Sex | All |
| Enrollment | 1500 (estimated) |
| Sponsor | Sahlgrenska University Hospital Academic / other |
| Locations | 1 site (Gothenburg) |
| Status | Recruiting |
| Started | January 1, 2024 |
| Main results expected | December 31, 2033 |
| Study ends | December 31, 2033 |
| Registry record updated | January 12, 2026 |
| Trial ID | NCT06069973 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Adults (over 18) with aneurysmal subarachnoid hemorrhage admitted to the ICU at Sahlgrenska University Hospital who can consent and do not have prior brain damage or significant cardiac arrhythmia.
✕Probably not a fit
People with pre-existing brain damage, significant cardiac arrhythmias (who are excluded), or those not treated in the Sahlgrenska ICU would not be eligible and therefore would not directly benefit from participation.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This is an observational study of adults with aneurysmal subarachnoid hemorrhage admitted to the ICU at Sahlgrenska University Hospital. Researchers will collect serial blood and cerebrospinal fluid samples for neurospecific biomarkers (GFAP, NSE, total tau, S-100, neurofilament light chain) and continuously record physiologic signals including heart rate variability, EEG, near-infrared spectroscopy, and measures of cerebral autoregulation. Machine learning models will integrate these biomarkers and monitoring features to detect or predict episodes of delayed cerebral ischemia, and biomarker levels will be compared with long-term functional outcomes using the Glasgow Outcome Scale Extended at 1, 3, and 5 years. No interventional treatments are given as part of the protocol; data are intended to develop an early warning approach that could be deployed at the bedside if validated.
Why it matters
Potential benefit: If successful, this approach could give doctors an early warning of impending brain ischemia so they can intervene sooner and potentially reduce disability and death.
How similar studies have gone: Machine learning models using clinical and imaging data have shown promise for predicting delayed cerebral ischemia, but using blood and CSF neurospecific biomarkers combined with continuous physiologic monitoring for early detection remains novel and unproven.
Who can join: the full rules
Show full inclusion / exclusion 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
Where it's running
-
Sahlgrenska University Hospital
Gothenburg, Sweden Recruiting
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.