Association of Antibiotic Utilization and Neurodevelopmental Outcomes among Extremely Low Gestational Age Neonates without Proven Sepsis or Necrotizing Enterocolitis
Bibliographic record
Abstract
OBJECTIVE: The objective is to evaluate the association between antibiotic utilization and neurodevelopmental outcomes at 18 to 21 months' corrected age among extremely low gestational age neonates without culture-proven sepsis or necrotizing enterocolitis (NEC). STUDY DESIGN: We conducted a retrospective cohort study of infants born between April 2009 and September 2011 at <29 weeks' gestation and admitted to the neonatal intensive care units contributing data to the Canadian Neonatal Network. Multivariable analysis was performed to examine the primary composite outcome of death or significant neurodevelopmental impairment (sNDI) in infants with various antibiotic utilization rates (AURs). RESULT: There were 1,373 infants who fulfilled our inclusion criteria. Compared with infants in the lowest AUR quartile (Q1), those in the highest quartile (Q4) had higher odds of death or sNDI (adjusted odds ratio [AOR] = 7.44; 95% confidence interval [CI]: 4.55, 12.2) and death (AOR = 39.3; 95% CI: 16.1, 95.9). CONCLUSION: Our results indicate an association between high AUR and a composite outcome of death or adverse neurodevelopmental outcomes at 18 to 21 months' corrected age.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".