Safety and Feasibility of Using Cell-Enriched Human Milk in the Treatment of Early Necrotizing Enterocolitis
Bibliographic record
Abstract
Background: Necrotizing enterocolitis (NEC) is a severe intestinal disease that often occurs in preterm infants, and there currently is a lack of specific and effective therapy. Human milk is rich in cells that may become a potential NEC treatment. Research Aim: To evaluate the safety and feasibility of cell-enriched fresh human milk treatment for premature infants with stage I NEC. Materials and Methods: Infants born at <1,500 g birth weight who developed stage I NEC were enrolled. Along with routine treatment for these infants, those in the intervention group were treated with cell-enriched fresh mother's milk (1 mL/kg) once per day for seven consecutive days. The intervention feasibility and safety were monitored and evaluated as primary outcomes. Short-term outcomes, including the duration of antibiotics, days to full enteral feeding and prognosis, were investigated as secondary outcomes. Results: Forty infants were enrolled, and 20 infants were included in each group. The demographic characteristics of the two groups of infants were comparable. All infants in the intervention group completed cell-enriched fresh mother's milk feeding for 7 days without any adverse clinical issues. The infants' vital signs were within the normal range during and after the intervention. None of the enrolled patients progressed to stage II NEC or above. The time interval from milk pumping to feeding was 3.7 ± 0.5 hours. Conclusions: Using cell-enriched fresh mother's milk to treat premature infants with stage I NEC was safe and feasible.
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| 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) | 0.000 | 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 teacher head, 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".