Use of SMOF lipid emulsion in very preterm infants does not affect the incidence of bronchopulmonary dysplasia–free survival
Bibliographic record
Abstract
BACKGROUND: We aim to assess whether the docosahexaenoic acid (DHA)-containing lipid emulsion (LE) SMOFlipid 20% (Fresenius Kabi Canada Ltd) is associated with bronchopulmonary dysplasia (BPD)-free survival at 36 weeks' postmenstrual age in very preterm infants. METHODS: This cohort study is nested in the MOBYDIck randomized clinical trial (NCT02371460), which investigated the effect of maternal DHA supplementation on BPD-free survival in breastfed very preterm infants born between 23 0/7 and 28 6/7 weeks' gestation in 16 Canadian neonatal intensive care units (2015-2018). Parenteral SMOF-LE was given to the infants according to the sites' routine care protocols. Relative risks (RRs) were estimated using a modified Poisson regression model with generalized estimating equations taking into account recruitment site, multiple birth, DHA supplementation, birth weight, sex, and gestational age. RESULTS: Among 528 infants (mean gestational age, 26.5 weeks [SD, 1.6]), 272 received SMOF-LE. Overall, 56.7% of the infants in the SMOF-LE group and 59.7% infants in the non-SMOF-LE group survived without BPD (adjusted RR, 0.94 [95% CI, 0.77-1.14]; P = 0.51). BPD rates were 39.3% in the SMOF-LE group vs 34.1% in the non-SMOF-LE group (adjusted RR, 1.10 [95% CI, 0.82-1.47]; P = 0.53). Severe BPD rates were 31.8% in the SMOF-LE group vs 28.8% in the non-SMOF-LE group (adjusted P = 0.59). Mortality was not significantly different between the SMOF-LE (6.7%) and non-SMOF-LE groups (9.5%; adjusted P = 0.40). CONCLUSION: In very preterm infants, intravenous DHA-containing SMOF-LE during the neonatal period was not associated with BPD-free survival.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".