Prevalence of methicillin-resistant Staphylococcus aureus colonization in children and adolescents admitted to CHEO
Bibliographic record
Abstract
Little is known about the epidemiology of methicillin-resistant Staphylococcus aureus (MRSA) in Canadian paediatric populations. A prospective prevalence survey of MRSA colonization was conducted on all children (excluding psychiatric inpatients) admitted to the Children's Hospital of Eastern Ontario (CHEO; Ottawa, Ontario) over a 30-day period in the summer of 2008. Patients meeting infection prevention and control criteria for targeted MRSA screening (ie, transfers from other hospitals, hospitalization outside CHEO within the past six months, or known MRSA-positive status) were screened with nasal and rectal swabs, independently of the study protocol. All other study participants had nasal swabs collected plus perianal swabs, if specific consent was provided. All specimens were obtained within 48 h of admission to exclude nosocomial acquisition. Of 417 eligible admissions in the study period, 241 were screened for MRSA. Ninety-eight (24%) were discharged or could not be enrolled before 48 h, 35 (8%) were not interested in learning about the study and 43 (10%) refused consent. Both nasal and rectal/perianal specimens were obtained from 126 patients, and only nasal specimens were obtained from the remaining 115 patients. Only one patient was colonized with MRSA, representing 0.2% of all admissions in the 30-day period, and 0.4% (one of 241 patients; 95% CI 0% to 1.2%) of all screened patients. This child had MRSA recovered only from her nose.
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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 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".