Neuroanaesthesia & neurocritical care
Point-of-Care EEG Artificial Intelligence Measure of Seizure Burden Associates With Clinical Outcome at Discharge
Authors' conclusion
AI-estimated SzB is associated with functional outcomes at discharge in a dose-response fashion, even after controlling for clinical cofounds.
Study context
- Population
- Adults monitored with point-of-care EEG at three academic centers359 with complete data
- Participants
- 400 adults
- Comparison
- Artificial intelligence (AI)-estimated seizure burden and outcome
Methodological detailsmulticentre
- Multicentre
Primary result
As reported in the abstract
Per additional hour of seizure (bedside algorithm), aOR
1.98
95% CI 1.11–4.29
Peak 5-min seizure burden (SzB) ≥ 90% vs 0% (bedside algorithm), fold increase in aOR of poor outcome
3.4
Per 30 seconds of activity in maximum hourly SzB (bedside algorithm), aOR
1.02
95% CI 1.00–1.03
Combined algorithms, peak 5-min SzB ≥ 90%, aOR
4.4
95% CI 1.66–12.69
Further findings
Peak 5-min SzB > 0% (bedside algorithm)
- Patients with peak 5-min SzB > 0%
- 39.8%
Parts of this Brief are withheld: the automatic checks could not confirm them against the abstract.
Original publication
Composed by AI from the published abstract and checked against it. How Briefs are made →