Cardiac arrest & resuscitation
EEG for good outcome prediction after cardiac arrest: A multicentre cohort study
Authors' conclusion
Nearly one-third of comatose patients resuscitated after CA had a non-highly malignant and reactive EEG that was associated with a good long-term outcome.
Study context
- Population
- Comatose patients after out-of-hospital cardiac arrest (CA) in the TTM2 trial with EEG during hospital stay
- Participants
- 873 patients · 59 sites
- Primary endpoint
- Good outcome (modified Rankin Scale 0-3)
- Follow-up
- 6 months
Methodological detailsdiagnostic/prognostic accuracy, 59 sites, Multimodal prognostication performed 96 h after CA
- Diagnostic/prognostic accuracy
- 59 sites
- Multimodal prognostication performed 96 h after CA
Primary result
As reported in the abstract
Prediction of good outcome
| Group | Sensitivity | Specificity |
|---|---|---|
| Non-highly malignant and reactive EEG | 56% (CI 50-61) | 83% (CI 80-86) |
Non-highly malignant and reactive EEG
Sensitivity56% (CI 50-61)
Specificity83% (CI 80-86)
Further findings
Good outcome (whole cohort) · 6 months
- Good outcome
- 283 (32%)
Absence of highly malignant EEG patterns
- Patients without highly malignant patterns
- 543
- Of these, preserved reactivity (29% of cohort)
- 255
Contribution of EEG reactivity to specificity vs background pattern alone
- Reactivity contributed to specificity for good outcome
- P < 0.001
Timing of EEG
- Median time from CA to EEG
- 69 h (IQR 47-91)
Original publication
EEG for good outcome prediction after cardiac arrest: A multicentre cohort study. Resuscitation. Published 17 July 2024. doi:10.
Composed by AI from the published abstract and checked against it. How Briefs are made →