Factors Associated with In‐Hospital Growth Trajectories of Very Low Birth Weight (VLBW) Infants
Notice bibliographique
Résumé
Background Optimal in‐hospital growth is associated with improved long‐term health and neurodevelopment in VLBW infants. Previous studies have examined many explanatory factors (e.g. birth characteristics, type of enteral feeding, nutrient intakes, and morbidity). However, few studies have systematically evaluated these factors together to examine growth rates over the entire in‐hospital course. Objective To examine associations between infant characteristics, morbidities, daily macronutrient and energy intakes, and in‐hospital weight, length, and head circumference (HC) trajectories over time. Methods 316 VLBW infants from the GTA‐DoMINO (ISRCTN35317141) trial were included. Infant characteristics, morbidities, daily nutrient intakes, and weekly anthropometrics were collected prospectively from birth to 90‐days or until hospital discharge, whichever occurred first. Repeated measures linear regression models were used to assess the relationship between explanatory factors and anthropometric measures over time. Results Mean birth weight, length, and HC were 1021 (SD, 260) g, 35.7 (3.4) cm, and 25.1 (2.3) cm, respectively. At birth, mean gestational age was 28.0 (2.5) weeks and 13% of infants were small for gestational age. All macronutrient and energy intakes were associated with weight over time. Of energy and macronutrients, energy intakes showed the greatest association with mean weight gain during postnatal days 9–29 (2.5 g/kg/d, p<.0001); however, lipid intakes showed the greatest association with weight gain during days 30–90 (3.0 g/kg/d, p<.0001). From days 1–8, all macronutrient and energy intakes were associated with length over time (p‐values: 0.003–0.0005); however, no intakes were associated with length beyond day 8. Lipid and energy intakes were associated with HC over time during days 1–8 and 9–29 (p‐values: 0.01–0.007), but not beyond the first month. Infants fed >50% donor milk showed slower weight gain between days 9–29 compared to infants fed >50% formula (−0.9 g/kg/d) or mothers' milk (−1.1 g/kg/d, p<.0001); while the HC gains of infants fed >50% donor milk and mothers' milk were similar, they were slower than the HC gains of infants fed >50% formula. Of morbidities assessed, patent ductus arteriosus showed the greatest association with weight (−2.6 g/kg/d, p<.0001) and HC (−0.21 cm/wk, p<.0001) during days 9–29, while late‐onset sepsis showed the greatest association with weight (−1.6 g/kg/d, p<.0001) and length (−0.13 cm/wk, p<.0006) during days 30–90. Conclusions Daily macronutrient and energy intakes are associated with weight gain over time, regardless of postnatal age. Early, rather than late, nutrient intakes are associated with length and HC gains over time. Morbidities and the strength of their association with growth are dependent upon the infants' postnatal age during hospitalization. Support or Funding Information Funded by CIHR (MOP#102638; FDN#143233).
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 | 0,005 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 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 ».