Abstract WMP103: Epilepsy is Associated With Poorer Neurologic Outcome After Pediatric Arterial Ischemic Stroke
Bibliographic record
Abstract
Introduction: Post-stroke epilepsy is common in children, but the relationship of childhood epilepsy with stroke outcome is poorly understood. Hypothesis: Children with epilepsy after arterial ischemic stroke have worse outcomes than those without epilepsy. Methods: We prospectively enrolled children (birth-18 years) with arterial ischemic stroke and identified remote seizures (occurring ≥ 7 days post-stroke). At one-year, patients with active epilepsy (≥ 1 remote seizure + maintenance anti-convulsant) were identified and Pediatric Stroke Outcome Measure (PSOM) was scored. Total PSOM scores range from 0-10; higher values reflect more severe neurologic deficits. Ordinal logistic regression was used to evaluate the relationship between clinical factors and PSOM scores. PSOM scores were categorized 0-1, 1.5-3, 3.5-6, 6.5-10 to depict stratified distribution. Results: Among 94 children (54% male; 20% Hispanic; 25% neonatal strokes; median age for childhood strokes 6.1 years, IQR 1.3-12), 12 had ≥ 1 remote seizure during the first year post-stroke. At one-year follow-up, 19 children were taking a maintenance anti-convulsant and 10 children had active epilepsy. Median PSOM score at one-year for the overall cohort was 0.5 (IQR 0-1.5). Median PSOM score among children with active epilepsy was 3.3 (IQR 0.5-6). Figure demonstrates distribution of categorized PSOM scores stratified by the presence of active epilepsy. On univariable regression analyses, older age (OR 1.1, 95% CI 1.0-1.1, P=0.02), maintenance anti-convulsant at one-year (OR 2.7, 95% CI 1.0-7.0, P=0.04) and active epilepsy (OR 6.3, 95% CI 1.7-25, P=0.007) were associated with higher total PSOM scores. After multivariable adjustment for age and maintenance anti-convulsant, active epilepsy remained associated with higher total PSOM score (OR 7.8, 95% CI 1.3-46, P=0.02). Conclusions: Active epilepsy one-year after pediatric arterial ischemic stroke is associated with poorer neurologic 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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".