Maternal ABO‐mismatched blood for intrauterine transfusion of severe hemolytic disease of the newborn due to anti‐Rh17
Bibliographic record
Abstract
BACKGROUND: Clinically significant antibodies to high-incident antigens present a challenge in hemolytic disease of the newborn. Antigen-negative blood may be difficult to obtain for intrauterine transfusion (IUT). In these instances, maternal blood is de facto compatible regardless of an ABO mismatch. CASE REPORT: A group B/D-- woman with a history of hemolytic disease of the newborn due to anti-Rh17 (titer 256) presented to the obstetrical clinic at 12 weeks gestation for management of her third pregnancy. She consented to donate blood for possible IUT. STUDY DESIGN AND METHODS: Washed maternal packed cells were suspended in saline to 75 percent Hct and irradiated before transfusion. The fetus was transfused via the intrahepatic vein. RESULTS: Ultrasound examination at 19 weeks indicated a hydropic fetus. The fetal blood group was O Rh+, direct antiglobulin test 4+, and hemoglobin 22 g per L. A total of 368 mL of maternal blood was transfused during seven procedures. Labor was induced at 38 weeks, and a 2560-g male infant was delivered by Caesarian-section due to fetal distress. The infant grouped as B Rh+, direct antiglobulin test negative. No group O red blood cells were detected. The hemoglobin level was 143 g per L rising to 209 g per L at discharge 3 days later. The indirect bilirubin was 55 micromol/L and remained stable during the hospital stay. Phototherapy was discontinued after 1 day, and the infant was discharged without an exchange or top-up transfusion. CONCLUSIONS: Maternal ABO-mismatched blood is an alternate source for IUT in instances when antigen-compatible allogenic blood is unavailable.
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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 | 0.001 | 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".