Serum sickness-like reaction associated with meropenem in a 3-year old child
Bibliographic record
Abstract
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
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".