Neuroanesthesia & neurocritical care
The predictive value of EEG reactivity by electrical stimulation and quantitative analysis in critically ill patients with large hemispheric infarction
Authors' conclusion
EEG reactivity by electrical stimulation and quantitative analysis seems a promising prognostic factor in these critical patients.
Study context
- Population
- Critically ill patients with large hemispheric infarction, 2018–202194 admitted
- Participants
- 56 patients
- Comparison
- EEG reactivity by electrical vs pain stimulation, with visual vs quantitative analysis
- Outcome
- Prediction of good neurological outcome (mRS 0-3 vs poor mRS 4-6)
- Follow-up
- within 6-month
Methodological detailsconsecutive enrolment, randomised stimulation method
- Consecutive enrolment
- Randomised stimulation method
Performance
As reported in the abstract
Good outcome prediction
| Test or model | AUC |
|---|---|
| Pain, visual | 0.763 |
| Pain, quantitative | 0.844 |
| Electrical, visual | 0.825 |
| Electrical, quantitative | 0.931 |
AUC
Pain, visual0.763
Pain, quantitative0.844
Electrical, visual0.825
Electrical, quantitative0.931
- Electrical, visual vs Pain, visual: P = 0.143
- Electrical, quantitative vs Pain, quantitative: P = 0.058
- Electrical, quantitative vs Pain, visual: P = 0.006
- Pain, quantitative vs Pain, visual: P = 0.118
- Electrical, quantitative vs Electrical, visual: P = 0.041
Original publication
The predictive value of EEG reactivity by electrical stimulation and quantitative analysis in critically ill patients with large hemispheric infarction. J Crit Care. Published 15 June 2023. doi:10.
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