Cardiac arrest & resuscitation
Predicting pediatric cardiac arrest outcomes using early quantitative EEG
Authors' conclusion
qEEG features measured with 24-h post-CA add to predictive outcome models and can be trended at the bedside.
Study context
- Population
- Children (3mo-18 yr) without return to neurologic baseline after cardiac arrest (CA), ≥ 6-hours of EEG within 24-hours post-CA, baseline Pediatric Cerebral Performance Category (PCPC) 1–3, 2010–2016
- Participants
- 221 children
- Exposure
- Clinical vs qualitative EEG (qualEEG) vs quantitative EEG (qEEG) vs Parsimonious
- Outcome
- PCPC dichotomized into favorable (1-3) and unfavorable (4-6 and Δ > 1)
- Follow-up
- 6 months
Methodological detailsmulticentre, two pediatric tertiary care hospitals, training and validation sets
- Multicentre
- Two pediatric tertiary care hospitals
- Training and validation sets
Main finding
As reported in the abstract
Prediction of 6-month outcome
| Group | AUC |
|---|---|
| Clinical | 0.73 [0.59-0.87] |
| qualEEG | 0.90 [0.81-0.97] |
| qEEG | 0.85 [0.74-0.94] |
| Parsimonious | 0.92 (0.85-0.97) |
AUC
Clinical0.73 [0.59-0.87]
qualEEG0.90 [0.81-0.97]
qEEG0.85 [0.74-0.94]
Parsimonious0.92 (0.85-0.97)
- Favorable 6-month outcome
- 84 (38%)
Observational data: associations, not effects.
Further findings
- Increased SR associated with degree of disability and unfavorable outcomes
Original publication
Predicting pediatric cardiac arrest outcomes using early quantitative EEG. Resuscitation. Published 24 September 2025. doi:10.
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