Using EEG to predict outcomes in patients with brain injury after cardiac arrest
Official title: Accuracy of EEG Slow Wave Activity in Predicting Favourable Outcome in Patients With Hypoxic Brain Injury - A Substudy of STEPCARE Trial
Run by University of Helsinki · NCT06564675 · Data updated 2026-11-12
This study is testing if a new way of analyzing brain waves can better predict recovery in adults who have survived a cardiac arrest compared to the usual method.
Quick facts
| Study type | Observational |
|---|---|
| Ages | 18 Years to 110 Years |
| Sex | All |
| Enrollment | 300 (estimated) |
| Sponsor | University of Helsinki Academic / other |
| Locations | 4 sites (Helsinki and 3 other locations) |
| Status | Recruiting |
| Started | August 1, 2023 |
| Main results expected | August 31, 2026 |
| Study ends | March 3, 2027 |
| Registry record updated | August 28, 2024 |
| Trial ID | NCT06564675 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Ideal candidates are adults aged 18 and older who have experienced out-of-hospital cardiac arrest and remain unconscious after resuscitation.
✕Probably not a fit
Patients under 18, those with trauma or hemorrhage as the cause of arrest, or those with skin issues preventing electrode attachment will not benefit from this study.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This observational substudy, part of the STEPCARE Trial, focuses on analyzing EEG data to predict favorable outcomes in adult patients who have experienced out-of-hospital cardiac arrest and have returned to spontaneous circulation. The study compares a new algorithm-based EEG index, the C-Trend Index, with traditional visual analysis of continuous EEG to determine which method more accurately predicts patient recovery. EEG recordings will be collected using a Brainstatus device, and the analysis will be conducted retrospectively, focusing on data collected 9-12 hours after resuscitation. The goal is to establish whether the C-Trend Index can provide at least a 10% improvement in predictive accuracy over visual analysis.
Why it matters
Potential benefit: If successful, this study could enhance the ability to predict recovery outcomes in patients after cardiac arrest, leading to better-informed treatment decisions.
How similar studies have gone: While this approach is novel in its specific application, similar studies using EEG for outcome prediction in cardiac arrest patients have shown promising results.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: * Age 18 years or older * OHCA, with sustained ROSC * Unconscious after ROSC * No limitations to full life support * Randomized to STEPCARE Trial in a participating center with Brainstatus device available Exclusion Criteria: * age \<18 * Previously randomized to STEPCARE * Trauma or hemorrhage as the reasons for arrest * Suspected or confirmed intracerebral hemorrhage * Allergy to adhesive material * Damaged skin at the frontal-temporal are preventing electrode attachment
Where it's running
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Helsinki University Hospital
Helsinki, Finland Recruiting -
Kuopio University Hospital
Kuopio, Finland Recruiting -
Tampere University Hospital
Tampere, Finland Recruiting -
Skane University Hospital
Lund, Sweden Recruiting
Study contacts
- Study coordinator: Johanna Hästbacka, a/c professor
- Email: johanna.hastbacka@tuni.fi
- Phone: +358415058360
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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.