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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.000 |
| 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 teacher head, 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".