Acute cardiac care & resuscitation
Association of EEG characteristics with outcomes following pediatric ICU cardiac arrest: A secondary analysis of the ICU-RESUScitation trial
Authors' conclusion
This multicenter study demonstrates the value of EEG, in the first 24 h following ROC, for predicting survival with favorable outcome after a pediatric IHCA.
Study context
- Population
- Children ≥90 days old with in-hospital cardiac arrest (IHCA) in the ICU who achieved ROC and had EEG within 24 h of ROC, USevaluable of 261 with EEG
- Participants
- 151 children
- Comparison
- Clinical prediction model with vs without EEG Background Category
- Primary endpoint
- Survival to hospital discharge with favorable neurologic outcome
- Follow-up
- Hospital discharge
Methodological detailsmulticentre, 18 paediatric and paediatric cardiac ICUs, Multivariable logistic regression
- Multicentre
- 18 paediatric and paediatric cardiac ICUs
- Multivariable logistic regression
Primary result
As reported in the abstract
Prediction of survival with favorable outcome
| Group | AUROC |
|---|---|
| Clinical model + EEG Background Category | 0.84 (CI 0.77-0.92) |
| Clinical model | 0.76 (CI 0.67-0.85) |
AUROC
Clinical model + EEG Background Category0.84 (CI 0.77-0.92)
Clinical model0.76 (CI 0.67-0.85)
- Clinical model + EEG Background Category vs Clinical model: P = 0.005
- EEG Background Category, sleep spindles, variability and reactivity associated with survival with favorable outcome and survival
- all p < 0.001
Original publication
Association of EEG characteristics with outcomes following pediatric ICU cardiac arrest: A secondary analysis of the ICU-RESUScitation trial. Resuscitation. Published 10 June 2024. doi:10.
Summarised from the published abstract; every number is checked against it