Patient and prescriber factors and the prolongation of antibiotics after birth in infants less than 29 weeks
Bibliographic record
Abstract
OBJECTIVE: The objective of this study is to delineate whether patient-related or prescriber-related factors account for the prolongation of antibiotic therapy beyond 48 h in premature infants whose initial blood cultures are negative. METHODS: Retrospective review of infants born <29 weeks born between January 2011 and December 2012. Infants who had positive blood cultures or who died in the first 48 h were excluded from analysis. Antibiotic courses were categorized as prolonged if antibiotics were continued for greater than 48 h and not prolonged if antibiotics were stopped by 48 h. Neonatologists were classified as high prescribers if they prolonged antibiotics for more than the median rate for the overall group. RESULTS: Seventeen of 59 (29%) infants had empiric antibiotics continued for greater than 48 h despite negative blood cultures. Both patient-related factors and the neonatologist at 48 h of life were significantly associated with prolongation of antibiotics. Patient-related factors associated with prolongation of empiric antibiotics were positive maternal Group B streptococcus (GBS) status (5/17 versus 4/42); p = .054), white blood count >25,000 (7/17 versus 1/42); p < .001), rupture of membranes (ROM) duration (187 ± 253 h versus 47 ± 89 h; p = .015). Increased number of risk factors was associated with increased likelihood of prolongation. Risk factors for sepsis were similar between high and low prescribing neonatologists with high prescribers prolonging antibiotics with a lower number of risk factors. CONCLUSIONS: The decision to prolong empiric antibiotics in culture negative preterm infants is related both to patient and prescriber-related factors.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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".