Real-world study in infants fed an infant formula with two human milk oligosaccharides
Bibliographic record
Abstract
Introduction: Introduction: human milk oligosaccharides (HMOs) are an important component of human milk supporting the development of a balanced intestinal microbiota and immune protection in breastfed infants. Randomized controlled trials (RCTs) have demonstrated that infant formulas supplemented with the HMOs 2'-fucosyllactose (2'FL) and lacto-N-neotetraose (LNnT) are safe, well-tolerated, and support normal growth. This Real-World Evidence (RWE) study aimed to evaluate growth and tolerance in infants consuming a formula supplemented with 1 g/L of 2'FL and 0.5 g/L of LNnT, and included a mixed-feeding group never studied before in RCTs. Participants and methods: this open-label, prospective study was conducted at six centers in Spain, and included healthy, exclusively breastfed infants (BF group), an exclusively formula-fed group (FF) who received a milk-based formula with 2' FL and LNnT, and a group mixed fed with both formula and human milk (MF), for 8 weeks. Co-primary outcomes were growth (anthropometry) and gastrointestinal tolerance (Infant Gastrointestinal Symptom Questionnaire, IGSQ). Secondary outcomes included formula satisfaction and adverse events (AEs). Results: 159 infants completed the study (66 FF, 48 MF, and 45 BF). Mean z-scores for growth were similar between all groups and within ± 0.5 of WHO medians at week 8. Composite IGSQ scores demonstrated low GI distress in all groups, with no significant group differences at baseline, week 4, or week 8. Incidence of AEs was low overall, and comparable across groups. Conclusions: in this RWE study examining a HMO-supplemented infant formula, growth and tolerance outcomes were similar to RCT findings, supporting the effectiveness of this early feeding option.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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".