Early Empiric Antibiotic Use Is Associated With Delayed Feeding Tolerance in Preterm Infants
Bibliographic record
Abstract
The causative factors of neonatal feeding intolerance are poorly understood, but potentially related to clinical practices such as empiric antibiotic usage. The objective of this study was to evaluate whether early empiric antibiotic exposure negatively affects preterm infants' enteral feeding tolerance. Data from infants without risk factors for sepsis, 500 to 1499 g birth weight and 24 to 34 weeks gestational age were analyzed. The primary outcomes were the empiric antibiotic exposure effects on the infants' total parenteral nutrition usage duration and prevalence of necrotizing enterocolitis (NEC). Among the 901 infants included, 67 were exposed to early empiric antibiotic. A 50% increase in parenteral nutrition usage duration and a 4-fold greater prevalence of NEC was seen in the early empiric antibiotic-exposed neonates, when compared with control infants (P < 0.01). Early empiric antibiotic exposure appears to negatively influence preterm infant feeding tolerance and possibly contributes to NEC.
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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 | 0.006 |
| 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 | 0.001 |
| 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".