Nutrient Intake and Growth of Infants Enrolled in the Donor Milk for Improved Neurodevelopmental Outcomes (GTA‐DoMINO) Trial: Comparison to Clinical Targets
Notice bibliographique
Résumé
Background Very low birth weight (VLBW) infants often grow slower than targets, increasing their risk of adverse long‐term outcomes. Subgroups within VLBW infants, such as infants born < 26 weeks gestation, require disproportionately more resources and have higher risks of morbidities and slower growth, than bigger more mature infants. Current research is lacking on growth and nutrient intakes of small immature VLBW infants and those with morbidities. Objectives To describe and assess relationships between growth and nutrient intakes of VLBW infants against commonly used clinical metrics. Methods Daily estimated macronutrient intakes, expressed breast milk (EBM) volumes, and weekly weights were collected prospectively from birth until 36 weeks corrected age for 302 infants that remained in the study for ≥ 28 days. Average growth using growth velocity (GV) and changes in z‐score, energy and nutrient intakes (mean ± SD), and median (1 st , 3 rd quartile) EBM volume were assessed for VLBW infants, infants born < and ≥ 1000g, < and ≥ 26 weeks gestation, and infants with and without morbidities (patent ductus arteriosus, necrotizing enterocolitis, retinopathy of prematurity, brain injury or chronic lung disease) using univariate analysis and Wilcoxon rank sum test. Relationships between intakes and growth were assessed using analysis of variance. Results GV and weight z‐score change were 13.8 ± 2.4 g/kg/d and −0.91 ± 0.64, respectively. Total energy (105 ± 12 kcal/kg/d) and protein (3.4 g ± 0.3 g/kg/d) intakes were below recommended targets, while carbohydrate (12 ± 1.1 g/kg/d) and lipid (5.1 ± 0.8 g/kg/d) intakes met recommendations. Total protein to energy ratio was 3.3 ± 0.3 g/100 kcal. EBM volume was 96 (78, 100) % of total enteral volume received. Smaller, more immature infants, and those with morbidities had lower nutrient intakes and slower growth than larger, more mature infants and those without morbidity. Weight z‐score change was −1.01 ± 0.68 and −0.73 ± 0.52 for infants with and without morbidity, respectively (p< 0.001) and −1.14 ± 0.76 and −0.83 ± 0.57 for infants born < and ≥ 26 weeks gestation, respectively (p<0.001). GV (g/kg/d) was similar between infants with morbidities (13.8 ± 2.3) and those without (13.7 ± 2.4) and for infants born < 26 weeks (13.8 ± 2.4) and those born ≥ 26 weeks (13.8 ± 2.4). When total energy or protein intakes exceeded 100 kcal/kg/d and 3.5 g/kg/d, respectively, growth was improved (p<0.05); however protein to energy ratio was not related to growth. Conclusion Growth of VLBW infants continues to fall below targets. Special attention to daily nutrient intakes in the clinical setting may have a major impact on growth. Using weight z‐score change may be more useful clinically compared to GV. Support or Funding Information Funded by CIHR (MOP#102638) and by The Breastfeeding Centre of Excellence, Sunnybrook Health Sciences Centre.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,002 | 0,001 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».