Sudden unexplained death in children with epilepsy
Bibliographic record
Abstract
BACKGROUND: Sudden unexplained death is a significant cause of mortality in people with epilepsy. Risk factors that have been identified include male sex, poor compliance with medications, and antiepileptic drug (AED) polypharmacy. However, these may not apply to the pediatric population in which the causes of epilepsy differ from the adult population. Therefore, risk factors for sudden unexplained death in epilepsy (SUDEP) in children must be evaluated independently from those in the adult population. METHODS: Cases of SUDEP in children less than 18 years of age occurring over a 10-year period in the province of Ontario, Canada, were identified. Records were reviewed for demographic and clinical features and neuropathology findings. RESULTS: Twenty-seven cases of SUDEP in children were identified. Sixty-three percent were male. Age at death ranged from 8 months to 15 years. Fourteen children had symptomatic epilepsy (52%), five had cryptogenic epilepsy (18%), and eight had idiopathic epilepsy (30%). Twelve children were treated with one AED (46%), 10 were on two AED (38%), and three were on three AED (12%). At the time of death, seven children had one serum AED concentration below the therapeutic range (35%) and 12 children had AED levels within the therapeutic range (60%). CONCLUSIONS: This case series represents the largest series of sudden unexplained death in children with epilepsy. At least two previously described risk factors for SUDEP in adults, low serum AED levels at time of death and AED polytherapy, do not appear to be significant in children.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".