The Association of Human Milk Feeding With Short-Term Health Outcomes Among Chinese Very/Extremely Low Birth Weight Infants
Bibliographic record
Abstract
Background: There is limited evidence about the influence of human milk feeding on short-term outcomes in a large preterm infant population. Research Aims: To explore the influences of human milk feeding on the primary outcome of necrotizing enterocolitis and secondarily sepsis, bronchial pulmonary dysplasia, severe retinopathy of prematurity, death, and the time to achieve full enteral feeding at discharge in very/extremely low-birth-weight infants. Methods: This study was a retrospective, longitudinal, observational two-group comparison cohort study. A total of 4470 very/extremely low-birth-weight infants from 25 neonatal intensive care units in China, between April 2015 and May 2018, were enrolled in this study. Exclusive human milk-fed and formula-fed participants were matched using propensity scores. After matching, human milk-fed participants ( n = 1379) and formula-fed participants ( n = 1378) were included in the analyses. The likelihood of necrotizing enterocolitis, bronchopulmonary dysplasia, sepsis, severe retinopathy of prematurity, death, and the time to achieve full enteral feeding were compared between the two groups. Results: Exclusive human milk feeding was associated with lower odds of necrotizing enterocolitis (2.90% vs. 8.42%, OR 0.33, 95% CI [0.22, 0.47]), bronchopulmonary dysplasia (15.74% vs. 20.26%, OR 0.69, 95% CI [0.56, 0.86]), severe retinopathy of prematurity (1.45% vs. 2.39%, OR 0.50, 95% CI [0.27, 0.93]), and death (6.02% vs. 10.38%, OR 0.44, 95% CI [0.32, 0.61]) compared with formula feeding. No significant differences in the time to achieve full enteral feeding or the odds of sepsis were found between the two groups. Conclusion: Exclusive human milk feeding is associated with a reduction in necrotizing enterocolitis, bronchopulmonary dysplasia, severe retinopathy of prematurity, and mortality among very/extremely low-birth-weight infants. Trial registration: Clinicaltrials.gov on November 9, 2015 (NCT02600195).
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| 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".