Fetal Transfusion of Red Blood Cells for Alloimmunization: Validity of a Published Equation
Bibliographic record
Abstract
OBJECTIVE: To validate the equation published in 1990 by Leduc et al. for red blood cell fetal transfusion where fetoplacental blood volume (VO) = 100 ml/kg, then improve its precision. METHODS: We reviewed 101 fetal transfusions among 32 patients. We analyzed risk factors for an inaccurate estimation with uni- and multivariate analysis. We compared the obtained Leduc formula with three other published equations. RESULTS: Fetal weight and gestational age were risk factors for an inaccurate estimation of the final Hct. Before 32 weeks the estimation of VO was 120 ml/kg instead of 100 ml/kg. All formulae overestimated the mean expected Hct value. However, expected Hct estimated by Leduc's formula is the nearest of the observed final Hct. CONCLUSION: Leduc's equation seems to be accurate, but less so for the youngest fetuses. We propose an adapted formula VO according to gestational age and fetal weight estimation.
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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 | 0.014 | 0.127 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 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".