Outcomes after Neonatal Seizures in Infants Less Than 29 Weeks' Gestation: A Population-Based Cohort Study
Bibliographic record
Abstract
OBJECTIVE: The aim of this study was to evaluate the association between neonatal seizure and neurodevelopmental impairment (NDI) at 18 to 24 months in extremely preterm neonates. The association between anticonvulsants use and NDI was also assessed. STUDY DESIGN: In this retrospective cohort study of infants born at <29 weeks' gestation from the Canadian Neonatal Network and Canadian Neonatal Follow-Up Network databases, we compared mortality and neurodevelopmental outcomes in infants who had neonatal seizures with those without seizures after adjusting for confounders. RESULTS: Of the 2,762 eligible neonates, 133 (4.8%) had seizures. Infants who had seizures were of lower gestation (25.2 vs. 26.2 weeks) and birth weight (819 vs. 920 g) and had higher rates of adverse outcomes. Neonatal seizure was associated with higher odds of composite outcome of death or significant NDI (74 vs. 27%; adjusted odds ratio [OR]: 3.4; 95% confidence interval [CI]: 2.2-5.4). Death or significant NDI was higher in infants with seizures treated with anticonvulsants than those without treatment (89 vs. 70%); however, when adjusted for confounders, it was not significantly different (adjusted OR: 3.5; 95% CI: 0.83-14.6). CONCLUSION: Neonatal seizures were independently associated with higher odds of death or significant NDI at 18 to 24 months of age. Relationship of anticonvulsant and neurodevelopmental outcomes needs further studies.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".