A cohort study of intranasal fentanyl for procedural pain management in neonates
Bibliographic record
Abstract
OBJECTIVES: The objective of this cohort study was to document experience with intranasal (IN) fentanyl analgesia for procedural pain management in neonates in a surgical neonatal intensive care unit. A consecutive sample of 23 neonates without intravenous access treated with IN fentanyl was included. METHODS: Data were extracted from medical charts, including infant characteristics, indication for IN fentanyl, dose, physiologic parameters (heart rate, respiratory rate, oxygen saturation, blood pressure) and pain scores. Physiologic parameters were recorded for 6 hours before and after IN fentanyl. Pain scores were recorded during and after the procedure using the Premature Infant Pain Profile (PIPP). RESULTS: The mean (SD) postmenstrual age of included infants was 31.8 weeks (4.1), and 52% were receiving some form of ventilator support. The mean dose of IN fentanyl was 1.3 mcg/kg (0.4) and most common indication was analgesia for peripheral insertion of central catheter. There were six cases of cardiorespiratory depression as defined, however, clinical factors could account for all of them. The mean PIPP score during and after the procedure was 4.3 (1.8) and 3.6 (1.5), respectively (scores <6 indicate no pain). CONCLUSIONS: This small study provides some preliminary evidence of the benefits and risks of IN fentanyl in this population.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 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".