Antimicrobial Prophylaxis Use in the Neonatal Intensive Care Unit: An Antimicrobial Stewardship Target That Deserves Attention!
Bibliographic record
Abstract
OBJECTIVE: Previous analyses of neonatal intensive care units (NICU) antimicrobial stewardship programs have identified key contributors to overall antibiotic use, including prolonged empiric therapy >48 hours for early-onset sepsis (EOS). However, most were performed in mixed NICU settings with onsite birthing units, resulting in a high proportion of inborn patient admissions. The study aimed to describe and analyze the most common reasons for antimicrobial use in an outborn tertiary care NICU. STUDY DESIGN: This was a 10-month review of all antimicrobial doses prescribed in a 20-bed level III NICU. The primary outcome was the total days of therapy (DOT) and length of therapy (LOT) for each clinical indication. Secondary outcomes included total DOT for each antimicrobial and appropriateness of antimicrobial courses. RESULTS: = 13; median LOT = 3 days). CONCLUSION: Surgical prophylaxis is a common reason for antimicrobial misuse in outborn NICU. NICU-based prospective audit and feedback between neonatologists and antimicrobial stewardship teams alone may not be impactful in this setting. Partnerships with neonatologists and surgeons will be key to achieving the target of less than 24 hours of postoperative antimicrobials. KEY POINTS: · Surgical prophylaxis is a common reason for antimicrobial misuse in the NICU.. · Antimicrobial prophylaxis duration of less than 24 hours postoperatively should be encouraged.. · NICU-based prospective audit and feedback may not be impactful unless surgeons are involved..
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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 | 0.000 |
| 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 | 0.001 |
| 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".