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Record W4322012441 · doi:10.14740/jmc4047

Severe Hemolytic Disease of the Newborn due to Anti-Di<sup>a</sup>

2023· article· en· W4322012441 on OpenAlexvenueno aff
Douglas P. Blackall

Bibliographic record

VenueJournal of Medical Cases · 2023
Typearticle
Languageen
FieldMedicine
TopicBlood groups and transfusion
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineHemolytic disease of the newborn (ABO)Exchange transfusionHematocritAntibodyTiterPregnancyFetusAntibody titerAntigenRh blood group systemInternal medicineImmunologyObstetrics

Abstract

fetched live from OpenAlex

Di a is a low-frequency member of the Diego blood group system, which is comprised of 23 antigens. The Diego blood group antigens are found on the erythroid membrane glycoprotein band 3, the red cell anion exchanger (AE1). The behavior of anti-Di a in pregnancy can only be surmised by rare, published case reports. This is a case report of severe hemolytic disease of the newborn due to a high-titer maternal anti-Di a immune response. The neonate’s mother was monitored throughout pregnancy with Di a antibody titers. In the third trimester, her antibody titer abruptly rose to 32. Her fetus was emergently delivered and was found to be jaundiced at birth with a hemoglobin/hematocrit of 5 g/dL/15.9% and a neonatal bilirubin of 14.6 mg/dL. With simple transfusion, intensive phototherapy, and two doses of intravenous immunoglobulin, the neonate’s condition normalized quickly. He was discharged from the hospital after 8 days in excellent condition. Anti-Di a is uncommonly encountered in both transfusion services and obstetric practices. Although very rare, anti-Di a can be associated with cases of severe hemolytic disease in newborns. J Med Cases. 2023;14(2):54-58 doi: https://doi.org/10.14740/jmc4047

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.607
Threshold uncertainty score0.472

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.020
GPT teacher head0.285
Teacher spread0.265 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations4
Published2023
Admission routes1
Has abstractyes

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