Continuous electroencephalography for seizures and status epilepticus
Bibliographic record
Abstract
PURPOSE OF REVIEW: To discuss the use of continuous video-electroencephalographic (cEEG) monitoring among critically ill children at risk for electrographic seizures and status epilepticus. RECENT FINDINGS: Recent reports have demonstrated the growing, but heterogeneous, use of cEEG monitoring among North American pediatric institutions, and provided evidence for the high prevalence of subclinical seizures, particularly among encephalopathic patients with acute brain injury. Increasing seizure burden and status epilepticus have been shown to be independently associated with worse short-term and long-term outcomes. SUMMARY: Certain high-risk children frequently experience electrographic seizures and status epilepticus, often without clinical signs, necessitating the use of cEEG monitoring for their diagnosis and management. Although an increasing electrographic seizure burden and status epilepticus are independently associated with worse outcome, further studies are needed to determine whether aggressive use of antiepileptic drugs to reduce seizure burden can improve outcome.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".