Vitamin D metabolism in the premature newborn: A randomized trial
Bibliographic record
Abstract
Summary Background & aims Vitamin D status during infancy has been associated with important pediatric health outcomes; however concentrations of many vitamin D metabolites in premature infants are not yet described. The objective of this study was to evaluate concentrations of 25(OH)D 3 , 24,25(OH) 2 D 3 , and 3-epi-25(OH)D 3 in premature infants. Methods 32 infants 3 orally. Vitamin D metabolites from serum obtained monthly were analyzed in triplicate using a novel, very sensitive Liquid Chromatography-Tandem Mass Spectrometry-based method. Statistical analysis was conducted using the Fisher's exact test, Wilcoxon Rank Sum test, and Spearman correlation coefficients. Measurements over time were fit with linear mixed effect models. A p-value of Results Mean serum 25(OH)D 3 concentrations in cord blood were 17.3 ng/mL; mean 3-epi-25(OH)D 3 were 1.3 ng/mL, mean 24,25(OH) 2 D 3 were 1.4 ng/mL. Both 25(OH)D 3 and 3-epi-25(OH)D 3 increased significantly over time, and the percent of total 25(OH)D 3 concentration that was 3-epi-25(OH)D 3 also increased significantly (7.2% vs. 29.7%, p 3 :24,25(OH) 2 D 3 ratios at weeks 4 and 8 were higher than ratios reported in older children and adults. Conclusion Vitamin D metabolism in infants appears to have distinct differences from adults. Vitamin D supplementation was effective in raising 25(OH)D 3 concentrations; however significant increases in 3-epi-25(OH)D 3 also occurred. Increased 25(OH)D 3 : 24,25(OH) 2 D 3 ratios in premature infants may be due to immature expression of CYP24A1. Further work is necessary to determine if there are developmental advantages to this unique vitamin D metabolism.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".