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Record W3096086145 · doi:10.1182/blood-2020-141478

Urgent Transfusion in a New Patient with Rare Blood Type

2020· article· en· W3096086145 on OpenAlexaff
Catherine Dubé, Scherzinger Kritikopoulos, Marsha Downie, Elizabeth Krok, Katerina Pavenski

Bibliographic record

VenueBlood · 2020
Typearticle
Languageen
FieldMedicine
TopicBlood groups and transfusion
Canadian institutionsSt. Michael's HospitalCanadian Blood ServicesUniversity of Toronto
Fundersnot available
KeywordsMedicineAntibodyBlood type (non-human)Cord bloodBlood transfusionInternal medicineSurgeryImmunologyBlood typing

Abstract

fetched live from OpenAlex

Background/Case Studies: Bombay is a rare blood group characterized by the absence of H substance at the surface of RBCs leading to naturally occurring anti-H antibodies. Anti-H presents the risk of severe hemolytic transfusion reactions in these patients. The case presented is of a 32-year-old female of Middle Eastern origin, who presented with a traumatic vertebral fracture with spinal cord compression and required urgent neurosurgery. Her presenting hemoglobin was 84 g/L. She had no previous group and screen on record, had never been transfused and had a history of a remote miscarriage. Study Design/Methods: Forward blood group with an automated gel-method instrument revealed the following reactions: negative with anti-A, unable to interpret (?) with anti-B, 4+ with anti-D. Reverse grouping revealed the following reactions: 4+ with A1-cells and an unexpected 1+ with B-cells. The antibody screen and 11 cell panel in gel (Micro Typing Systems) 2+; the panel, with enhancement reacted 3+ in Ficin. The auto control was negative. A second panel and pre-warm panel produced the same findings. An antibody reacting at 37C against a high-frequency antigen was suspected. Patient specimen was sent for investigation to the reference lab (RL), which performed blood group by manual tube test, antibody identification with panels by manual tube PEG-IAT method; RL also sent a sample for ABH sequencing (Sanger). Results/Findings: A thawed frozen plasma sample from a previous Bombay patient 12 years prior showed no reactivity against the patient's RBCs; positive control included. A frozen Bombay RBC unit was ordered urgently from the blood supplier and was crossmatch compatible. The patient underwent surgery and was transfused with a single unit of RBC for peri-operative bleeding. She was treated with erythropoietin and IV iron post-operatively and did not require any further transfusions. The investigation at the RL showed mixed field reaction on forward blood typing with anti-B and anti-A,B and negative reaction with anti-A commercial reagents. The RL reverse grouping showed 4+ with all O H+ and A1 red cells, but 2+ with B cells. The autocontrol and group O H- cells did not react, confirming anti-H and suggesting Para-Bombay group. ABH sequencing revealed a normal B allele (ABO*B.01) while genotyping of FUT1 revealed a null allele (FUT1*01N.12) and weak H allele (FUT1*01W.23). FUT2 genotyping (FUT2*01N.02) predicted a nonsecretor (sese) phenotype. Conclusions: This patient with non-secretor status, variant H production, clinically significant anti-H, greatly reduced B antigen expression, should be treated as a Bombay (Oh) for transfusion purposes. She was counselled and provided with an antibody card and a letter. This case illustrates the importance of timely communication with the clinical team about the risks and benefits of transfusion pending antibody identification, as it could have proved fatal in this case. Figure Disclosures Pavenski: Bioverativ:Research Funding;Shire/Takeda:Honoraria;Octapharma:Research Funding;Alexion:Honoraria, Research Funding;Sanofi:Research Funding;Ablynx/Sanofi:Honoraria, Research Funding.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0030.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0040.001

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 head0.014
GPT teacher head0.209
Teacher spread0.194 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designCase report
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".

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Citations1
Published2020
Admission routes1
Has abstractyes

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