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Record W2121913872 · doi:10.2174/157488606777934459

Antiepileptic Drug-Induced Hypersensitivity Syndrome Reactions

2006· review· en· W2121913872 on OpenAlexfundno aff
Norberto Krivoy, Masud Taer, Manuela G. Neuman

Bibliographic record

VenueCurrent Drug Safety · 2006
Typereview
Languageen
FieldMedicine
TopicDrug-Induced Adverse Reactions
Canadian institutionsnot available
FundersUniversity of Toronto
KeywordsMedicineCarbamazepinePhenytoinLamotrigineDrugHypersensitivity reactionPhenobarbitalDelayed hypersensitivityValproic AcidEpilepsyImmunologyPharmacologyAntigen

Abstract

fetched live from OpenAlex

Host dependent idiosyncratic drug reactions, otherwise known as unpredictable type B reactions, are of a major concern in clinical practice and drug development. Hypersensitivity syndrome reactions are idiosyncratic in nature and may be induced by a variety of agents including antiepileptic drugs (AEDs). The AEDs hypersensitivity syndrome is a rare but potentially life-threatening syndrome that occurs after exposure to phenytoin, carbamazepine or phenobarbital. Phenobarbital, phenytoin and carbamazepine, have shown cross-reactivity; while, no evidence of cross reactivity between other antiepileptic drugs such as valproic acid, gabapentin or lamotrigine has been observed. True hypersensitivity reaction is a systemic disease defined by the triad of fever, skin eruption and multi-organ involvement that occurs 1-8 weeks after exposure to a drug. Because most reactions occur within two months of treatment initiation, it is likely that the true incidence of the syndrome is underestimated. It was hypothesized that reactive metabolite/s (RM) rather than the parent drug, is/are responsible for initiating the sequence of toxic and immunological events that culminate clinically in a drug hypersensitivity syndrome reaction. Cells that possess surface antigens for which T cells have specific receptors then present this antigen. Exanthemas are related to delayed T-cell hypersensitivity so it has been hypothesized that memory T cells might subsequently increase in number in the most severely affected cutaneous sites. To manage hypersensitivity syndrome successfully, the symptoms must recognized early, the use of the offending drug must be terminated immediately, and alternative antiepileptic medication should be prescribed. Currently, the diagnosis of AEDs-induced hypersensitivity syndromes is based on clinical grounds and on in vitro testing. In the field of pharmacogenetics, we bare witness to how effectively the combination of effective screening methods and understanding of the role of genetic polymorphisms play in the metabolic pathways of AEDs facilitating new therapies that allow scientists and physicians to better diagnose and treat patients.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.006
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.002

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 head0.071
GPT teacher head0.364
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 designNot applicable
Domainnot available
GenreReview

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

Citations40
Published2006
Admission routes1
Has abstractyes

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