Severe hemolytic disease of the fetus and newborn due to allo‐anti‐D in a patient with a partial DEL phenotype arising from the variant allele described as <i>RHD*148+1T (RHD*01EL.31)</i>
Bibliographic record
Abstract
BACKGROUND: RhD DEL variants may show complete or partial expression of RhD epitopes. There have been only rare reports of anti-D causing hemolytic disease of the fetus and newborn (HDFN) in this context. We report a case of severe HDFN associated with a recently described DEL variant. CASE REPORT: A multiparous woman presented with an allo-anti-D and showed incongruent phenotyping and genotyping results on initial study. Further investigations identified the RHD mutation, defined as RHD*148+1T and named RHD*01EL.31, which had been previously associated with a DEL phenotype. Extended RhD phenotyping by adsorption-elution showed that there was reactivity with four of nine monoclonal anti-D antibodies, suggesting a partial DEL phenotype. The first child showed no clinical evidence of HDFN, although the cord direct antiglobulin test was positive. The second child developed fetal anemia treated with intrauterine transfusion, and neonatal hyperbilirubinemia requiring exchange transfusion. CONCLUSION: The RHD allele, RHD*148+1T, results in a partial Del phenotype, and the anti-D formed in pregnant women with this phenotype is capable of causing severe HDFN.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.002 | 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".