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Record W4387950366 · doi:10.1186/s13223-023-00848-6

Fatal eosinophilic myocarditis and submassive hepatic necrosis in lamotrigine induced DRESS syndrome

2023· article· en· W4387950366 on OpenAlexvenueno aff
Khanh Duy Doan, Adeyinka Akinsanya, Matthew Kuhar, Hector Mesa

Bibliographic record

VenueAllergy Asthma and Clinical Immunology · 2023
Typearticle
Languageen
FieldMedicine
TopicDrug-Induced Adverse Reactions
Canadian institutionsnot available
FundersSchool of Medicine, Indiana University
KeywordsLamotrigineMedicineEosinophiliaDiscontinuationEosinophilicMyocarditisHypersensitivity reactionCentrilobular necrosisAdverse drug reactionNecrosisDrugPathologyDermatologyGastroenterologyInternal medicineImmunologyEpilepsyPharmacology

Abstract

fetched live from OpenAlex

Drug Reaction with Eosinophilia and Systemic Symptoms (DRESS) syndrome is a rare but severe and sometimes fatal adverse drug reaction that is known to occur with a number of antiepileptic drugs. It often follows a prolonged clinical course, which can worsen even after discontinuing the causative drug and administering steroid treatment. Failure to promptly identify the delayed involvement of vital organs, such as the heart and liver, may result in irreversible organ failure and death. We report a case of a presumed sudden death of a young woman who had a documented history of a protracted intermittent hypersensitivity reaction to lamotrigine. Postmortem examination revealed the presence of eosinophilic myocarditis and submassive hepatic necrosis diagnostic of fatal DRESS syndrome that progressed despite early discontinuation of the medication and improvement of dermatologic and hematologic symptoms following steroid therapy.

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)0.001
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 score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
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 head0.029
GPT teacher head0.322
Teacher spread0.293 · 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

Citations5
Published2023
Admission routes1
Has abstractyes

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