Enteral feeding practices in very preterm infants: an international survey
Bibliographic record
Abstract
OBJECTIVE: To evaluate enteral feeding practices in neonatal units in different countries and on different continents. DESIGN: A web-based survey of 127 tertiary neonatal intensive care units in Australia, Canada, Denmark, Ireland, New Zealand, Norway, Sweden and the UK. RESULTS: 124 units (98%) responded. 59 units (48%) had a breast milk bank or access to donor human milk (Australia/New Zealand 2/27, Canada 6/29, Scandinavia 20/20 and UK/Ireland 31/48). The proportion of units initiating enteral feeding within the first 24 h of life was: 43/124 (35%) if gestational age (GA) <25 weeks, 53/124 (43%) if GA 25-27 weeks and 88/124 (71%) if GA 28-31 weeks. In general, Scandinavian units introduced enteral feeds the earliest, followed by UK/Ireland. Continuous feeding was routinely used for infants below 28 weeks' gestation in almost half of the Scandinavian units and in approximately one sixth of units in UK/Ireland, but rarely in Australia/New Zealand and Canada. Minimal enteral feeding for 4-5 days was common in Canada, but rare in Scandinavia. Target enteral feeding volume in a 'stable' preterm infant was 140-160 ml/kg/day in most Canadian units and 161-180 ml/kg/day or higher in units in the other regions. There were also marked regional differences in criteria for use and timing when human milk fortifier was added. CONCLUSIONS: This study highlights areas of uncertainty and demonstrates marked variability in feeding practices. It provides valuable data for planning collaborative feeding trials to optimise outcome in preterm infants.
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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 | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".