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Record W2147113749 · doi:10.1345/aph.1k522

Abacavir Hypersensitivity Reaction: an Update

2008· review· en· W2147113749 on OpenAlexaff
Christine Hughes, Michelle Foisy, Norman Dewhurst, Niamh Higgins, Linda Robinson, Deborah Kelly, Kelly E Lechelt

Bibliographic record

VenueAnnals of Pharmacotherapy · 2008
Typereview
Languageen
FieldMedicine
TopicDrug-Induced Adverse Reactions
Canadian institutionsWindsor Regional HospitalMcGill University Health CentreSt. Michael's HospitalUniversity of AlbertaMemorial University of NewfoundlandCapital District Health Authority
Fundersnot available
KeywordsAbacavirMedicineIntensive care medicinePharmacogenomicsHypersensitivity reactionImmunologyPharmacologyHuman immunodeficiency virus (HIV)Viral loadAntiretroviral therapy

Abstract

fetched live from OpenAlex

OBJECTIVE: To review the clinical features, risk factors, diagnosis, and management of abacavir hypersensitivity reaction (HSR). DATA SOURCES: A MEDLINE (1950-October 2007) and EMBASE (1980-October 2007) search using key words abacavir, HIV, human immunodeficiency virus, hypersensitivity reaction, HLA-B(*)5701, and patch tests was conducted. Conference abstracts and article bibliographies were reviewed to identify relevant studies. STUDY SELECTION AND DATA EXTRACTION: Studies that investigated the clinical and immunogenetic risk factors for abacavir hypersensitivity and the benefit of genetic screening, as well as articles that focused on the clinical presentation, assessment, and management of abacavir HSR, were considered for this review. DATA SYNTHESIS: Abacavir hypersensitivity is an immune-mediated reaction that typically occurs within the first 6 weeks of therapy. Signs and symptoms of abacavir HSR are nonspecific, which makes the diagnosis challenging, particularly in medically complex patients. Patch testing may improve the diagnosis and confirmation of abacavir HSR, but it remains experimental. Clinical management is aimed at supportive therapy and discontinuation of abacavir. Rechallenge with abacavir is contraindicated due to the risk of precipitating a life-threatening reaction. Appropriate patient education and a clear communication plan are essential for the safe use of this medication. Identification of patients at risk of developing abacavir hypersensitivity through routine genetic screening for human leukocyte antigen (HLA) HLA-B(*)5701 represents a significant advance in the field of pharmacogenomics, with an apparent 100% negative predictive value when used to screen for abacavir HSR. Preliminary data suggest that pharmacogenetic testing for HLA-B(*)5701 is cost effective. However, until routine testing is available, pharmacovigilance is necessary for the safe and effective use of abacavir. CONCLUSIONS: Serious adverse events associated with the use of abacavir can be avoided by appropriate recognition and management of the HSR. Screening patients for HLA-B(*)5701 prior to initiation of abacavir represents a tool to further decrease the risk of HSRs as well as unnecessary discontinuation of this drug.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.007
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0070.006
Science and technology studies0.0000.001
Scholarly communication0.0020.003
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0040.001

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 head0.292
GPT teacher head0.504
Teacher spread0.213 · 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

Citations80
Published2008
Admission routes1
Has abstractyes

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