Machine learning and blood tests to detect delayed cerebral ischemia early
Machine Learning and Biomarkers for Early Detection of Delayed Cerebral Ischemia
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 |
|---|---|
| Enrollment | 1500 (estimated) |
| Ages | 18 Years to 110 Years |
| Sex | All |
| Sponsor | Sahlgrenska University Hospital Academic / other |
| Locations | 1 site (Gothenburg) |
| Trial ID | NCT06069973 on ClinicalTrials.gov |
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.
Who should consider this trial
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.
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.
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 performed: 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.
Eligibility criteria
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 this trial is running
Gothenburg
- Sahlgrenska University Hospital — Gothenburg, Sweden (Recruiting)
How to participate
- Review the eligibility criteria above with your treating physician.
- Visit the official trial page on ClinicalTrials.gov for the most current contact information and recruitment status.
- Contact the listed study coordinator or principal investigator to request pre-screening. Pre-screening is free and never obligates you to enroll.