Clinical Characteristics of Pediatric Patients Hospitalized with Methicillin‐Resistant <i>Staphylococcus aureus</i> in Canadian Hospitals from 2008 To 2010
Bibliographic record
Abstract
Methicillin-resistant Staphylococcus aureus (MRSA) infections were uncommon in children in Canada until the 1990s. Using a standardized case report form, treating physicians reported children hospitalized due to MRSA infections in Canadian hospitals through the Canadian Pediatric Surveillance Program in a 24-month period (2008 to 2010). Of 155 cases reported, 70% were ≤4 years of age and approximately one-third had an underlying medical condition. The most common clinical infections involved skin and soft tissue (69%), the lower respiratory tract (12%), and bone and joint (10%). Almost one-third had had contact with the health care environment in the previous year and 18% had a known household member with MRSA. Initial therapy with a beta-lactam alone occurred in 65%, while 22% included vancomycin. No child in this cohort died but 14% required admission to the intensive care unit. Of 143 reports of individual isolates, 93% were reported susceptible to trimethoprim-sulfamethoxazole, 63% to clindamycin and 50% to mupirocin. The present study involved only children hospitalized with MRSA infections. It may not be representative of the children treated as outpatients nor children in selected areas of Canada where MRSA infections may be more endemic. Further targeted surveillance to identify risks and treatment practices in these populations may be important.
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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 | 0.001 |
| 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 | 0.000 |
| 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".