High-Flow Nasal Cannulae for Respiratory Support of Preterm Infants: A Review of the Evidence
Why this work is in the frame
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Bibliographic record
Abstract
BACKGROUND: High-flow nasal cannulae (HFNC) are gaining in popularity as a form of non-invasive respiratory support for preterm infants in neonatal intensive care units around the world. They are proposed as an alternative to nasal continuous positive airway pressure (NCPAP) in a variety of clinical situations, including post-extubation support, primary therapy from birth and 'weaning' from NCPAP. OBJECTIVES: To present and discuss the available evidence for the use of HFNC in the preterm population. METHODS: An internet-based literature search for relevant, original research articles (both randomised studies and not) on the use of HFNC in preterm infants was undertaken. RESULTS: A total of 19 studies were included in the review. Distending pressure generated by HFNC in preterm infants increases with increasing flow rate and decreasing infant size and varies according to the amount of leak around the prongs. HFNC may be as effective as NCPAP at improving respiratory parameters such as tidal volume and work of breathing in preterm infants, but probably only at flow rates >2 litres/min. The efficacy and safety of HFNC in preterm infants remain to be determined. CONCLUSIONS: There is growing evidence of the feasibility of HFNC as an alternative to other forms of non-invasive ventilation in preterm infants. However, there remains uncertainty about the efficacy and safety of HFNC in this population. Until the results of larger randomised trials are known, widespread use of HFNC to treat preterm infants cannot be recommended.
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.005 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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 it