Epidemiology of carbapenemase-producing Enterobacterales carriage in a paediatric tertiary health care centre of Ontario, Canada
Bibliographic record
Abstract
Introduction: The epidemiology of carbapenemase-producing Enterobacterales (CPE) in hospitalized children in low endemicity settings is not well known. We aim to describe it in a large tertiary paediatric health care centre in Canada. Methods: A repeated point-prevalence study including all inpatients was conducted at the Hospital for Sick Children, Toronto, for surveillance purposes over 3 days serially in April 2017, April 2019, and April 2022. Patients in the emergency department and medical day units were excluded. Stools or rectal swabs were analyzed for CPE identification, with confirmatory testing at the provincial reference laboratory. Results: We detected CPE colonization in 0.4% (1/242), 0.7% (2/278), and 0.9% (2/220) of inpatients in 2017, 2019, and 2022, respectively. Identified CPE included OXA-48-like and NDM beta-lactamases in Escherichia coli and Klebsiella pneumoniae. All patients with CPE colonization had a history of travel or hospitalization outside of Canada, including in the Middle East and Asia. Discussion: CPE colonization in children hospitalized in this Canadian hospital was detected. A history of prolonged travel or hospitalization outside of Canada are risk factors that should be considered in targeted screening programs.
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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) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".