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

NCT06069973 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 1500

Last updated 2026-01-12

No results posted yet for this study

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.

Conditions

Interventions

OTHER

No intervention, observational study

No intervention

Sponsors & Collaborators

  • Sahlgrenska University Hospital

    lead OTHER

Eligibility

Min Age
18 Years
Max Age
110 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2024-01-01
Primary Completion
2033-12-31
Completion
2033-12-31

Countries

  • Sweden

Study Locations

More Related Trials

Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06069973 on ClinicalTrials.gov