Age-dependent cerebral hemodynamic effects of indomethacin in the newborn piglet
Bibliographic record
Abstract
With recent discussions in the literature regarding prophylactic use of early (within the first 12 h after birth), low-dose indomethacin to reduce the incidence and severity of intraventricular hemorrhage, knowledge pertaining to the cerebral hemodynamic effects of indomethacin in this age group is of significant interest. The cerebral circulation is known to undergo significant changes during the first few days of postnatal life. In the present study, we have investigated the hypothesis that postnatal adaptive changes influence the cerebral hemodynamic response to indomethacin in an age-dependent manner. Near-infrared spectroscopy with indocyanine green was used to measure cerebral hemodynamics, cerebral metabolic rate of oxygen, and cerebral oxygen extraction fraction in 39 newborn piglets. Piglets were grouped by age and received either 0.2 mg/kg indomethacin (14 were <13 h of age and 12 were >13 h of age) or saline (8 were <13 h of age and 5 were >13 h of age) infusions. In a subgroup of indomethacin-treated piglets (9 less than and 7 greater than 13 h of age), Doppler flow ultrasound was used to diagnose and monitor the presence and persistence of patent ductus arteriosus. Age was a significant factor in the cerebral hemodynamic response to indomethacin with piglets <13 h of age exhibiting delayed increases in cerebral blood flow and cerebral blood volume at 150 min post-indomethacin infusion.
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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) | 0.000 | 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 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".