TEMPORAL PLATELET AGGREGATORY FUNCTION IN HYPOXIC NEWBORN PIGLETS REOXYGENATED WITH 18%, 21%, AND 100% OXYGEN
Bibliographic record
Abstract
Thromboembolic and bleeding complications are common after asphyxia. We studied the temporal effects of different oxygen concentrations used in resuscitating hypoxic newborn piglets on platelet aggregatory function. Alveolar normocapnic hypoxia (fractional inspired oxygen concentration = 0.15) was induced in piglets (1-4 d, 1.7-2.5 kg) for 2 h, followed by reoxygenation with 18%, 21%, or 100% oxygen for 1 h and then 21% for 2 h (n = 8-9 per group). Control piglets underwent surgery with no hypoxia-reoxygenation (n = 5). Platelet counts and collagen-stimulated (2-10 microg/mL) whole blood aggregation were studied at normoxic baseline and at 3 h, 2 d, and 4 d of recovery. Platelet activation markers including plasma thromboxane B2 and matrix metalloproteinase 2 and 9 levels were measured. At 2 h hypoxia (mean PaO2 30-35 mmHg), all piglets were hypotensive and acidotic (mean pH 7.19-7.24). In 100% reoxygenation piglets, the concentration-response curves of collagen-stimulated platelet aggregation were significantly shifted upward at 3 h and 2 d of recovery with no differences in the collagen concentration required to induce 50% of maximum aggregation, and this normalized to baseline on 4 d. In the 18% and 21% reoxygenated groups, there were no changes in platelet aggregation during the experiment. Platelet counts were not different between groups and over time. Hypoxic-reoxygenated piglets had increased plasma thromboxane B2 (100% group) and matrix metalloproteinase-2 levels (21% and 100% groups) (versus respective baseline, P < 0.05), with no difference between experimental groups. These findings suggest transient platelet activation in hypoxic newborn piglets resuscitated with 100% but not with 18% and 21% oxygen, of which the clinical significance requires further investigation.
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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 | 0.000 |
| 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 | 0.001 |
| 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 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".