Influence of exogenous factor VIIa on thrombin generation in cord plasma of full-term and pre-term newborns
Bibliographic record
Abstract
Factor (F) VIIa has been used to treat adults and children with a variety of bleeding disorders. The results from these studies cannot be extrapolated to newborns because their hemostatic system differs significantly from adults, which may influence the effects of FVIIa on thrombin (IIa) generation. We compared the effects of FVIIa concentrates on IIa generation in plasmas from adults, full-term newborns and pre-term newborns. Defibrinated plasma (using arvin) from adults, or umbilical cords from full-term or pre-term deliveries was supplemented with FVIIa (Novo Nordisk, Bagsvaerd, Denmark), mixed with dilute thromboplastin reagent, and the resultant reaction mixture subsampled periodically into ethylenediamine tetraacetic acid, followed by measurement of total IIa activity (S-2238). Thrombin-alpha2 macroglobulin complexes, determined as residual activity after neutralization with heparin and antithrombin, were subtracted from total IIa to give free IIa. Prothrombin (FII) and inhibitor complexes were measured by enzyme-linked immunosorbent assays. Addition of FVIIa caused a reduction in the lag phase for the appearance of free IIa and consumption of FII, which was more pronounced in newborn plasma. There was no increase in peak IIa levels regardless of the amount of FVIIa added. Final inhibitor complex concentrations were increased in plasmas from adults compared with newborns, likely reflecting higher plasma concentrations of FII in adults. Generation of IIa was more rapid in pre-term plasma compared with that in adult and full-term cord plasmas due to increased endogenous tissue factor (TF). In summary, FVIIa enhanced IIa generation in plasma from different age groups, with the effect being more pronounced in plasma from pre-term newborns, possibly due to increased levels of plasma TF.
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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".