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Record W2165728123 · doi:10.1186/1710-1492-6-s2-p31

Serum sickness-like reaction associated with meropenem in a 3-year old child

2010· article· en· W2165728123 on OpenAlexaffvenue
Sara Leo, Edmond S. Chan

Bibliographic record

VenueAllergy Asthma and Clinical Immunology · 2010
Typearticle
Languageen
FieldMedicine
TopicDrug-Induced Adverse Reactions
Canadian institutionsUniversity of British ColumbiaBC Children's Hospital
Fundersnot available
KeywordsMedicineSerum sicknessMeropenemMaculopapular rashRashVancomycinMethylprednisoloneSurgeryAntibioticsAnesthesiaImmunologyStaphylococcus aureus

Abstract

fetched live from OpenAlex

Background Serum sickness-like reactions are typically characterized by fever, arthralgia, rash, and other systemic symptoms within two weeks of antigen exposure. The most common inciting agents are non-protein drugs, most notably cefaclor. This report describes a 3-year old boy who developed a serum sickness-like reaction after receiving a course of meropenem. Materials and methods Laboratory investigations supporting a diagnosis of serum sickness-like reaction were performed. Results A 3 year old with a history of prematurity was treated with intravenous meropenem and vancomycin for a ventriculoperitoneal shunt infection and brain abscess. He developed fever, bilateral knee swelling and an erythematous maculopapular rash to his trunk and extremities on day 14 of meropenem and day 27 of vancomycin. During this time, he had elevated creatinine and C reactive protein, as well as eosinophilia and hematuria. Septic workup was negative, as were tests for autoimmunity. He also developed transient coagulopathy and pancytopenia, felt to be adverse effects of the antibiotics. He was eventually treated with 3 days of intravenous methylprednisolone, and his symptoms improved soon after. The total duration of serum sickness-like symptoms was about 2 weeks. Conclusions

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.612
Threshold uncertainty score0.711

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.002
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 head0.014
GPT teacher head0.289
Teacher spread0.275 · 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 designObservational
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

Citations1
Published2010
Admission routes2
Has abstractyes

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