Determinants of Antibiotic Tailoring in Pediatric Intensive Care: A National Survey*
Bibliographic record
Abstract
OBJECTIVES: To describe the criteria that currently guide empiric antibiotic treatment in children admitted to Canadian PICUs. DESIGN: Cross-sectional survey. SETTING: Canadian PICUs. SUBJECTS: Pediatric intensivists and pediatric infectious diseases specialists. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: We used focus groups and literature review to design the survey questions and its four clinical scenarios (sepsis, pneumonia, meningitis, and intra-abdominal infections). We analyzed our results using descriptive statistics and multivariate linear regression. Our response rate was 60% for pediatric intensivists (62/103) and 36% for pediatric infectious diseases specialists (37/103). Variables related to patient characteristics, disease severity, pathogens, and clinical, laboratory, and radiologic infection markers were associated with longer courses of antibiotics, with median increment ranging from 1.75 to 7.75 days. The presence of positive viral polymerase chain reaction result was the only variable constantly associated with a reduction in antibiotic use (median decrease from, -3.25 to -8.25 d). Importantly, 67-92% of respondents would still use a full course of antibiotics despite positive viral polymerase chain reaction result and marked clinical improvement for patients with suspected sepsis, pneumonia, and intra-abdominal infection. Clinical experience was associated with shorter courses of antibiotics for meningitis and sepsis (-1.3 d [95% CI, -2.4 to -0.2] and -1.8 d [95% CI, -2.8 to -0.7] per 10 extra years of clinical experience, respectively). Finally, site and specialty also influenced antibiotic practices. CONCLUSIONS: Decisions about antibiotic management for PICU patients are complex and involve the assessment of several different variables. With the exception of a positive viral polymerase chain reaction, our findings suggest that physicians rarely consider reducing the duration of antibiotics despite clinical improvement. In contrast, they will prolong the duration when faced with a nonreassuring characteristic. The development of objective and evidence-based criteria to guide antibiotic therapy in critically ill children is crucial to ensure the rational use of these agents in PICUs.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".