Association of empiric antibiotic selection and clinical outcomes in hospitalised children with severe orbital infections: a retrospective cohort study
Bibliographic record
Abstract
OBJECTIVE: To determine the association of initial empiric antibiotic regimens with clinical outcomes in hospitalised children with severe orbital infections. DESIGN: Multi-centre observational cohort study using data from 2009 to 2018 clinical records. SETTING: Canadian children's hospitals (7) and community hospitals (3). PATIENTS: Children between 2 months and 18 years hospitalised for >24 hours with severe orbital infections. INTERVENTIONS: Empiric intravenous antibiotic regimen in the first 24 hours of hospitalisation. MAIN OUTCOME MEASURES: Length of hospital stay and surgical intervention using multivariable median regression and multivariate logistic regression, with adjustment for covariates. RESULTS: Of 1421 patients, 60.0% were male and the median age was 5.5 years (IQR 2.4-9.9). Median length of stay was 86.4 hours (IQR 56.9-137.5) and 180 (12.7%) received surgical intervention. Patients receiving broad-spectrum empiric antibiotics had an increased median length of stay, ranging from an additional 13.8 hours (third generation cephalosporin and anaerobic coverage) to 19.5 hours (third generation cephalosporin, staphylococcal and anaerobic coverage). No antibiotic regimen was associated with a change in the odds of surgical intervention. These findings remained unchanged in sensitivity analyses restricted to more severely ill patients. There was a twofold increase in the percentage of patients receiving the broadest empiric antibiotic regimens containing both staphylococcal and anaerobic coverage from 17.8% in 2009 to 40.3% in 2018. CONCLUSIONS: Empiric use of broad-spectrum antibiotics with staphylococci and anaerobic coverage was associated with longer length of stay and similar rates of surgery in children with orbital infections. There is an urgent need for comparative effectiveness studies of various antibiotic regimes.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".