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Record W1749200378 · doi:10.1111/trf.12731

Transfusion‐related acute lung injury after transfusion of pooled immune globulin: a case report

2014· article· en· W1749200378 on OpenAlexaff
Graeme Quest, Hilda Gaal, Gwen Clarke, Susan Nahirniak

Bibliographic record

VenueTransfusion · 2014
Typearticle
Languageen
FieldMedicine
TopicBlood transfusion and management
Canadian institutionsUniversity of AlbertaAlberta Health Services
Fundersnot available
KeywordsTransfusion-related acute lung injuryMedicineBlood productIntubationBlood transfusionPlatelet transfusionIntensive care medicineLungAnesthesiaSurgeryInternal medicinePlateletPulmonary edema

Abstract

fetched live from OpenAlex

BACKGROUND: Transfusion-related acute lung injury (TRALI) is a severe transfusion reaction that manifests as acute respiratory compromise within 6 hours of the infusion of blood products. Intravenous immune globulin (IVIG) is prepared from large pools of human plasma and is commonly administered in the outpatient setting for the treatment of a wide range of diseases. As a plasma-derived blood product, IVIG may also cause TRALI, although reports of this are exceedingly rare. CASE REPORT: A 77-year-old female with common variable immune deficiency had been receiving IVIG since 1996 for infection prophylaxis. During a scheduled infusion, the patient developed hypertension and dyspnea, requiring increasing oxygen supplementation and subsequent intubation. Radiographic studies demonstrated the bilateral chest infiltrates, with no evidence of infection or circulatory overload. The patient was extubated after 24 hours and discharged several days later. The patient had not previously received this lot of IVIG and has since received further transfusions with different lot numbers of the same product without incident. CONCLUSION: This case report documents a case of TRALI after IVIG transfusion. While a very rare cause, this case furthers evidence that TRALI can occur after IVIG transfusion.

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)0.001
metaresearch head score (Gemma)0.004
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 score0.009
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0040.003
Science and technology studies0.0040.003
Scholarly communication0.0030.004
Open science0.0020.003
Research integrity0.0090.005
Insufficient payload (model declined to judge)0.0030.002

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 head0.006
GPT teacher head0.249
Teacher spread0.244 · 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".

Quick stats

Citations14
Published2014
Admission routes1
Has abstractyes

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