Predictors of Outcome in Term Infants With Neonatal Seizures Subsequent to Intrapartum Asphyxia
Bibliographic record
Abstract
The objective of this study was to define potential clinical prognostic factors for term infants with neonatal seizures subsequent to intrapartum asphyxia. The authors completed a retrospective analysis of 62 term infants with clinical neonatal seizures subsequent to intrapartum asphyxia. Logistic regression analysis was applied to determine the independent prognostic indicators of an adverse outcome. A total of 23 (37%) infants had a normal outcome, 34 (55%) survived with 1 or more neurodevelopmental impairments (23 cerebral palsy, 28 global developmental delay, 15 epilepsy, with 18 combination of two, and 9 all three), and 5 (8%) died. Six variables were associated with an adverse outcome, but only the presence of meconium aspiration, a low (≤ 3) 1-minute Apgar score, seizure type other than focal clonic, and moderately severely abnormal electroencephalography (EEG) background findings were independently associated with an adverse outcome. Signs of acute distress are predictors of adverse outcome, alongside seizure semiology and moderate to severe EEG background abnormalities.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 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 | 0.001 |
| 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".