Association of Early Caffeine Administration and Neonatal Outcomes in Very Preterm Neonates
Bibliographic record
Abstract
IMPORTANCE: Advantages of caffeine for apnea of prematurity have prompted clinicians to use it prophylactically even before apnea. OBJECTIVE: To determine the effect of early initiation of caffeine therapy on neonatal outcomes in very preterm infants born in Canada. DESIGN, SETTING, AND PARTICIPANTS: A retrospective cohort study was conducted. Patients included preterm neonates born at less than 31 weeks' gestation admitted to 29 participating Canadian Neonatal Network neonatal intensive care units between January 1, 2010, and December 31, 2012. EXPOSURES: Neonates who received caffeine were divided into 2 groups based on the following timing of caffeine initiation: within the first 2 days after birth (early) and on or after the third day following birth (late). MAIN OUTCOME AND MEASURE: A composite of death or bronchopulmonary dysplasia. RESULTS: Of 5517 eligible neonates, 5101 (92.5%) received caffeine (early: 3806 [74.6%]; late: 1295 [25.4%]). There was no difference in weight or gestational age at birth between the groups. Neonates in the early group had decreased odds of a composite outcome of death or bronchopulmonary dysplasia (adjusted odds ratio [AOR], 0.81; 95% CI, 0.67-0.98) and patent ductus arteriosus (AOR, 0.74; 95% CI, 0.62-0.89). There was no difference between the groups in mortality (AOR, 0.98; 95% CI, 0.70-1.37), necrotizing enterocolitis (AOR, 0.88; 95% CI, 0.65-1.20), severe neurological injury (AOR, 0.80; 95% CI, 0.63-1.01), or severe retinopathy of prematurity (AOR, 0.78; 95% CI, 0.56-1.10). CONCLUSIONS AND RELEVANCE: In very preterm neonates, early (prophylactic) caffeine use was associated with a reduction in the rates of death or bronchopulmonary dysplasia and patent ductus arteriosus. No adverse impact on any other outcomes was observed.
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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 | 0.005 |
| 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 | 0.001 | 0.000 |
| Open science | 0.001 | 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".