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Record W2096124799 · doi:10.3899/jrheum.091453

Successful Desensitization for Hydroxychloroquine Anaphylaxis

2010· letter· en· W2096124799 on OpenAlexvenueno aff
Carmen Díaz Donado, ELENA MAQUIERA DÍEZ

Bibliographic record

VenueThe Journal of Rheumatology · 2010
Typeletter
Languageen
FieldMedicine
TopicDrug-Induced Adverse Reactions
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineHydroxychloroquineAnaphylaxisPericarditisRashDermatologyAllergyDesensitization (medicine)AspirinLupus erythematosusInternal medicineImmunologyDisease

Abstract

fetched live from OpenAlex

To the Editor: Hydroxychloroquine (HCQ) is an antimalarial agent with immunosuppressive and cytotoxic properties. HCQ is a cornerstone in the treatment of systemic lupus erythematosus (SLE) and rheumatoid arthritis1,2. It has multiple beneficial effects. Exanthema/rash is the most common side effect. About 10% of patients treated with HCQ develop skin eruptions, some due to hypersensitivity. Other patterns of cutaneous hypersensitivity reactions have also been described with antimalarials1,2. Our patient, a 48-year-old man, had had as many as 11 attacks of pericarditis in less than 2 years, leading finally to a diagnosis of SLE. Once treatment with HCQ was initiated, there were no further attacks. He received treatment with HCQ over a period of 6 months with no notable incident. It was then necessary to interrupt the HCQ for approximately 2 weeks due to an intercurrent illness. Coinciding with resumption of treatment with HCQ 200 mg, he showed symptoms of anaphylaxis (blood pressure alterations, generalized urticaria, and chest pains) and required attention in the emergency room. He was referred to the Allergy Unit. Anaphylaxis due to HCQ was diagnosed, based on positive skin tests, and HCQ was stopped. On 3 occasions during the 3-month period when he was without treatment with HCQ, he required treatment using cycles of oral corticoids due to reappearance of pericarditis symptoms. He declined to take corticosteroids on a longterm basis although the progression of his pathology made this appear to be necessary. Faced with the negative … Address correspondence to Dr. C.D. Donado, Doctor Bellmunt s/n, Oviedo 33006, Asturias, Spain. E-mail: cdiazd{at}seaic.es

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)0.007
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.007
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.002
Open science0.0020.000
Research integrity0.0070.007
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 head0.016
GPT teacher head0.277
Teacher spread0.261 · 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

Citations18
Published2010
Admission routes1
Has abstractyes

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