Short and long-term outcomes in neonatal hypoxic-ischemic encephalopathy treated with hypothermia and vasoactive medications
Bibliographic record
Abstract
Background: Hemodynamic instability in neonatal hypoxic-ischemic encephalopathy (HIE) can contribute to brain injury but long-term neurodevelopmental data is limited. Our objective was to compare the effect of hemodynamic instability requiring vasoactive support on radiologic brain injury and neurodevelopmental outcomes in HIE with therapeutic hypothermia (TH). Methods: This retrospective cohort study compared infants with HIE post-TH who did not require (Group I) versus those who required vasoactive medications (Group II). The association between hemodynamic instability and MRI brain injury or Bayley Scales of Infant Development III (BSID-III) was evaluated by logistic regression. Results: Among 185 infants, group II had higher adjusted odds of moderate-severe grey matter injury [odds ratio 5.54; 95% confidence interval 1.70 - 18.05; p < 0.001] than group I, with no differences in adjusted 18-24-month BSID-III scores. Conclusion: Hemodynamic instability requiring vasoactive support in HIE with TH was associated with higher odds of radiologic brain injury but no difference in neurodevelopmental outcomes.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 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".