Trends in cyclicity and amplitudes on amplitude‐integrated electroencephalography during transition in extremely low gestational age infants
Bibliographic record
Abstract
AIM: The aim of the study was to describe amplitude integrated electroencephalography (aEEG) cyclicity, background pattern, voltage margins and maturation scores in extremely low gestational age neonates (ELGANs) in the first 72 h. METHODS: Fifty infants with gestational age (GA) 23+0-27+6 weeks were prospectively studied. Infants with intraventricular haemorrhage ≦ Grade I and no disorders of transition (persistent pulmonary hypertension, hypotension, pulmonary haemorrhage) belonged to the 'Uncomplicated' group and those with intraventricular haemorrhage > Grade I and/or disorders of transition, to the 'Complicated' group. RESULTS: Thirty-six infants without opioid exposure were included: 23 with GA 25.9 (23.1-27.7) weeks in the 'Uncomplicated' group and 13 with GA 24.6 (23.3-27.4) weeks in the 'Complicated' group. Cyclicity was more common in the 'Uncomplicated' group [20/23 (87%) vs. 7/13 (54%), p = 0.045] with more cycles/hour [0.2 (0-0.78) vs. 0.03 (0-67), p = 0.036]. Age at appearance of cyclicity was similar [20 (7.7-40.7) hours in 'Uncomplicated' vs. 23.7 (5.4-60) hours in 'Complicated' group, p = 0.8]. In the 'Uncomplicated' group, maturation scores (p = 0.02), high (p < 0.0001) and low (p = 0.03) base voltage increased over time. CONCLUSION: During the first 72 h, clinically stable ELGANs without neurological injury demonstrate increased cyclicity compared to those with a complicated course. Maturation score, high and low base voltage increase over time.
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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 | 0.001 |
| 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) | 0.001 | 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".