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Post-Transfusion Hemophagocytosis Without Hemophagocytic Lymphohistiocytosis

2019· article· en· W2980323384 on OpenAlexaff
Eric McGinnis, N N Medvedev, Mikhyla J. Richards, Luke Y. C. Chen, Michelle Wong

Bibliographic record

VenueMayo Clinic Proceedings Innovations Quality & Outcomes · 2019
Typearticle
Languageen
FieldMedicine
TopicAutoimmune and Inflammatory Disorders Research
Canadian institutionsRoyal Columbian HospitalVancouver General HospitalUniversity of British Columbia
Fundersnot available
KeywordsHemophagocytosisHemophagocytic lymphohistiocytosisMedicineBone marrowPathologyHistiocyteDifferential diagnosisImmunologyPancytopeniaDisease

Abstract

fetched live from OpenAlex

Hemophagocytosis refers to ingestion of hematopoietic elements or mature blood cells by another cell, typically by cells conventionally associated with phagocytic capacity. Although the finding of hemophagocytosis as a prominent feature in a patient's bone marrow might prompt consideration of a hemophagocytic syndrome (HPS) such as hemophagocytic lymphohistiocytosis (HLH) in a clinician's or pathologist's differential diagnosis, this morphologic feature can be nonspecific in the absence of other clinical and laboratory features of pathologic immune activation, which is the sine qua non of HPS/HLH. We describe three patients whose clinical presentations included transfusion-dependent anemia and whose bone marrow aspirates showed unexpectedly brisk hemophagocytosis of mature red blood cells. Despite striking morphologic hemophagocytosis, no patient met criteria for diagnosis of an HPS. Transfusion-associated hemophagocytosis and hyperferritinemia must be carefully distinguished from HLH through clinical and laboratory assessment. Biomarkers of pathologic immune activation are important diagnostic aids.

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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.021
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.043
GPT teacher head0.377
Teacher spread0.334 · 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; both teacher heads agree on what is shown here.

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

Citations15
Published2019
Admission routes1
Has abstractyes

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