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Accuracy of EEG Slow Wave Activity in Predicting Favourable Outcome in Patients With Hypoxic Brain Injury - A Substudy of STEPCARE Trial

RECRUITINGSponsored by University of Helsinki
Actively Recruiting
SponsorUniversity of Helsinki
Started2023-08-01
Est. completion2026-08-31
Eligibility
Age18 Years – 110 Years
Healthy vol.Accepted
View on ClinicalTrials.gov →

NCT06564675

Summary

This is an observational substudy embedded in the STEPCARE Trial. The study involves EEG analysis, covered by the ethics approval of STEPCARE Trial. The investigators aim to compare the accuracy of a continuously measured algorithm-based EEG index, C-Trend Index, with retrospective visual analysis of continuous EEG in predicting favorable functional outcome in adult patients treated in intensive care units after out-of-hospital cardiac arrest. The primary hypothesis is that the accuracy of C-Trend Index has at least 10% better accuracy in predicting favorable outcome than the visual analysis of cEEG, when assessed early, 9-12 hours after return of spontaneous circulation (ROSC).

Eligibility

Age: 18 Years – 110 YearsHealthy volunteers accepted
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

Conditions2

Heart DiseaseOut-Of-Hospital Cardiac Arrest

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