Clinical trial Recruiting at 4 sites Observational Ages 18 to 110

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.

More Out-Of-Hospital Cardiac Arrest trials

Quick facts

Study typeObservational
Ages18 Years to 110 Years
SexAll
Enrollment300 (estimated)
SponsorUniversity of Helsinki
Academic / other
Locations4 sites (Helsinki and 3 other locations)
StatusRecruiting
StartedAugust 1, 2023
Main results expectedAugust 31, 2026
Study endsMarch 3, 2027
Registry record updatedAugust 28, 2024
Trial IDNCT06564675 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

  • 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

Similar studies

Other studies for the same condition or treatment. Recruiting studies are listed first.

How to take part

  1. Review the eligibility criteria above with your treating physician.
  2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
  3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.
Last reviewed 2026-11-14 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.