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Record W2997572728 · doi:10.1136/bcr-2019-232769

Spontaneous heparin-induced thrombocytopenia syndrome presenting as bilateral adrenal infarction after knee arthroplasty

2019· article· en· W2997572728 on OpenAlexaff
Elysha A VanderVeer, Raymond P Torbiak, Ally P.H. Prebtani, Theodore E. Warkentin

Bibliographic record

VenueBMJ Case Reports · 2019
Typearticle
Languageen
FieldMedicine
TopicHeparin-Induced Thrombocytopenia and Thrombosis
Canadian institutionsMcMaster University Medical CentreMcMaster UniversityJoseph Brant HospitalUniversity of British Columbia Hospital
Fundersnot available
KeywordsMedicineHeparin-induced thrombocytopeniaThrombosisInfarctionHeparinAdrenal HemorrhageDeep veinSurgeryArthroplastyInternal medicineCardiologyMyocardial infarction

Abstract

fetched live from OpenAlex

Adrenal gland infarction resulting from adrenal vein thrombosis is an infrequently recognised entity with a limited differential diagnosis. When bilateral, it can result in acute life-threatening adrenal failure. Heparin-induced thrombocytopenia (HIT) is an antibody-mediated, prothrombotic state that represents an important cause of adrenal vein thrombosis leading to associated infarction. Sometimes, the clinical picture of HIT-including the presence of HIT antibodies-occurs despite absence of proximate heparin exposure ('spontaneous HIT syndrome'). We report a case of nearly missed adrenal failure secondary to bilateral adrenal infarction that evolved during the second week following knee arthroplasty (a known trigger of spontaneous HIT syndrome). The combination of bilateral adrenal infarction, thrombocytopenia and presence of platelet-activating HIT antibodies not explainable by preceding heparin exposure led to a diagnosis of postknee arthroplasty spontaneous HIT syndrome. The case also highlights the clinical and laboratory findings associated with rapidly progressive acute adrenal failure.

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)0.004
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 score0.003
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0020.001

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 head0.020
GPT teacher head0.295
Teacher spread0.275 · 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

Citations17
Published2019
Admission routes1
Has abstractyes

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