MétaCan
Menu
Back to cohort
Record W2601921852 · doi:10.1177/1203475417701421

A Case of Amoxicillin-Induced Acute Generalized Exanthematous Pustulosis Presenting as Septic Shock

2017· article· en· W2601921852 on OpenAlexaff
Katherine McDonald, Tadeusz A. Pierscianowski

Bibliographic record

VenueJournal of Cutaneous Medicine and Surgery · 2017
Typearticle
Languageen
FieldMedicine
TopicDrug-Induced Adverse Reactions
Canadian institutionsOttawa HospitalUniversity of Ottawa
Fundersnot available
KeywordsMedicineAcute generalized exanthematous pustulosisToxic epidermal necrolysisSeptic shockDermatologyAmoxicillinRashAdverse drug reactionCulpritAntibioticsSepsisDrugSurgeryInternal medicinePharmacology

Abstract

fetched live from OpenAlex

This case report demonstrates the challenges of diagnosing and managing acute generalized exanthematous pustulosis (AGEP) presenting as septic shock. The disseminated, erythematous, pustular rash is a common feature. However, extensive organ involvement and life-threatening hypotension are unusual. The constellation of signs has not previously been documented following amoxicillin therapy. Toxic epidermal necrolysis (TEN) and toxic shock syndrome (TSS) were considered in addition to AGEP because of the systemic presentation. AGEP was diagnosed following histopathology (TEN was ruled out based on limited necrotic keratinocytes and lack of epidermal necrosis) and a negative antistreptolysin O titer (eliminated TSS). Antibiotic therapy for septic shock was provided before the diagnosis was confirmed as AGEP. Upon confirmation of the AGEP diagnosis, antibiotics were discontinued and a 5-day course of oral prednisone (40 mg/d) was initiated in addition to topical half-strength (0.05%) betamethasone valerate. The patient rapidly improved and was discharged. Outpatient patch testing confirmed amoxicillin as the culprit drug. In conclusion, it is critical to realize that AGEP cannot be ruled out with a septic shock presentation. Recent drug history is critical in recognizing an adverse drug reaction, and patch testing is useful for determining the culpable drug when the diagnosis is AGEP.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation 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 score0.412
Threshold uncertainty score0.742

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.065
GPT teacher head0.344
Teacher spread0.279 · 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 teacher head, 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

Citations10
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Cutaneous Medicine and SurgerySame topicDrug-Induced Adverse ReactionsFrench-language works237,207