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Enregistrement W1972417184 · doi:10.1097/00005176-200010000-00027

Feeding Preterm Infants After Hospital Discharge: Effect of Diet on Body Composition.

2000· review· en· W1972417184 sur OpenAlexaboutno aff
Mahesh Yadav, Adrian G. Thomas

Notice bibliographique

RevueJournal of Pediatric Gastroenterology and Nutrition · 2000
Typereview
Langueen
DomaineNursing
ThématiqueInfant Nutrition and Health
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMedicineAnthropometryRandomized controlled trialPediatricsInfant formulaAnimal scienceInternal medicine

Résumé

récupéré en direct d'OpenAlex

Feeding Preterm Infants After Hospital Discharge: Effect of Diet on Body Composition. Cooke RJ, McCormick K, Griffin IJ, et al. Pediatr Res 1999;46:461–4. Summary: Cooke et al. conducted a prospective, blinded, and randomized trial to compared body composition, using dual-energy x-ray absorptiometry (DEXA) during dietary intervention in 129 normally growing preterm infants (birth weight ≤1750 g and gestation ≤34 weeks). At hospital discharge, infants were randomized to be fed either a preterm infant formula from discharge to 6 months (group A, n = 49), a term formula from discharge to 6 months (group B, n = 54), or the preterm formula from discharge to term and then the term formula from term to 6 months (group C, n = 26). All infants were fed on demand. Compared with the term formula, the preterm formula had higher energy (80 vs. 66 kcal/100 mL), protein (2.2 vs. 1.4 g/100 mL), calcium (108 vs. 54 mg/100 mL), and phosphorus (54 vs. 27 mg/100 mL). The infants were seen biweekly (discharge to term) and then monthly (term to 6 months), when intake was measured and anthropometry and blood sampling were performed. Body composition was measured at regular intervals by DEXA (QDR 2000; Hologic Inc., Waltham, MA, U.S.A.) and special software (Infant Whole Body Software, ver. 5.56P; Hologic). Patient characteristics were similar between the treatment groups. The mean (±SD) energy intakes (group A 108 ± 36, Group B 106 ± 32, and Group C 105 ± 32 kcal/kg per day) were similar, but protein and mineral intakes differed between the groups (A > C > B;P < 0.0001). During follow-up, differences were noted between group A (fed preterm formula throughout the study) and group B (fed the term formula throughout the study). The boys in group A had higher mean weight, lean body mass, fat mass, and bone mineral mass than those in group B. Body composition by DEXA showed that the weight gain was mainly due to increase in lean body mass, which was postulated to be due to differences in protein intake and/or the ratio of protein to energy. The effects of the diet were confined to boys, with no lasting effect in girls. This is the first study to demonstrate differences in growth rates between preterm boys and girls with similar nutrient intake. The authors concluded that preterm formula is more suitable for the needs of rapidly growing preterm male infants after hospital discharge. Comment: Advances in neonatology have increased the survival of premature infants (BMJ 1997;314:107–11;Am J Obstet Gynecol 1995;172:457–64). The majority undergo intensive nutritional management during their hospital stays but are discharged home on food suitable for healthy term infants. Studies have shown that they grow slowly (J Pediatr 1990;117:298– 307;Acta Paediatr Scand 1987;76:636–46), and slow growth has been related to poor outcome (BMJ 1999;318:427–31;Clin Pediatr (Phila) 1993;32:405–11;Lancet 1989;11:577–80;J Pediatr 1985;107:284–86). Body composition is fundamental to understanding the growth process, it permits evaluation of the effects of nutritional intervention, and there is a need for a rapid, safe, and precise method. In the past, all studies have been hospital based using metabolic balances and indirect calorimetry. Only recently have noninvasive methods such as DEXA been used. Although there is no gold standard method to assess body composition in infants (J Pediatr Gastroenterol Nutr 1999;29:184–9), DEXA has been shown to be a relatively precise and noninvasive method (Pediatr Res 1997;41:590–6;Am J Cli Nutr 1996;63:157–63). However, its accuracy may be affected by infant size (J Pediatr Gastroenterol Nutr 1999;29:184–9;Am J Clin Nutr 1993;58:589–91). Cook et al. demonstrated in the present study that DEXA was precise enough to detect differences in body composition during dietary intervention. The current recommended intake for preterm infants are: energy, 105 to 130 kcal/kg per day; protein, 3.5 to 4 g/kg per day; iron, 2 to 4 mg/kg per day (maximum, 15 mg/day); vitamin D, 400 IU/day; and a multivitamin supplement until the infant reaches a weight of 2.5 kg (Can Med Assoc J 1995;152:1765–85;Pediatrics 1985;75:976–86;Acta Paediatr Scand Suppl 1987;336:1–14). An intake volume of 200 mL/kg per day of expressed breast milk or term formula (energy density, 65 kcal/100 mL) can achieve the recommended intake for energy but not for protein and minerals. Feeding with fortified human milk or enriched preterm formulae at 150 to 180 mL/kg per day can achieve the above recommendations and has been shown to be safe and beneficial (Pediatrics 1999;103:1150–7;Lancet 1990;335:1477–81;Arch Dis Child 1989;64:1570–8). Until now, it has not been clear whether continuing with a similar nutrient intake after hospital discharge improves growth during the first year of life. Few studies have been performed to evaluate the effect of diet on the growth of preterm infants in the post–hospital discharge period. A randomized double-blind trial comparing preterm formula, term formula, and exclusive breast-feeding demonstrated that preterm formula-fed infants had greater mean length and head circumference at 12 weeks after discharge (J Perinatol 1996;16:111–6). Another randomized double-blind trial comparing the growth of preterm infants (n = 32) fed a nutrient-enriched postdischarge formula (energy, 72 kcal/100 mL; protein, 1.85 g/100 mL; fat, 4.0 g/100 mL) versus a standard term formula, demonstrated significant increases in linear growth and weight gain at 9 months of age in those fed the enriched formula (Arch Dis Child 1992;67:324–7). When added to the mother's milk, commercially available milk fortifiers raise the nutrient concentrations to levels similar to the preterm formula milk. Improved growth has been demonstrated preterm infants in the hospital fed human milk with added fortifiers (Int J Clin Pract 1998;52:236–40), but there are very few studies using them in the postdischarge period. Wauben et al. performed the first prospective study to demonstrate the impact of dietary manipulation on body composition of preterm infants (Acta Paediatr 1998;87:780–5). They compared anthropometry and body composition in three groups of preterm infants (n = 37) fed with either mother's milk with a multinutrient fortifier, mother's milk with calcium and phosphorus supplements, or a preterm formula (Preemie SMA; Wyeth Ayerst, Ontario, Canada) to 1 year corrected age. The preterm formula group had higher bone mineral content (BMC) and lesser percentage fat mass at 12 months. They also had consistently higher weight than the other two groups. Short-term (mean, 4 weeks) feeding with a preterm milk formula significantly improved developmental status at 18 months after term in 424 infants studied by Lucas et al. (Lancet 1990;335:1477–81). Growth and nutrition in early life may affect long-term health and development in these infants (Arch Dis Child 1994;71:288–90). If the present trend of increasing survival of preterm infants continues, more infants will be discharged home at body weight of 1800–2000 g. These infants need nutritional management after hospital discharge to optimize their growth and development. Studies have shown the benefits of continuing with nutrient-enriched human milk or preterm infant formula feeding well into the first year of life. The optimal formula composition for preterm infants after hospital discharge remains to be determined.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,002
score de la tête « metaresearch » (Gemma)0,004
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Revue systématique · Signal consensuel: aucune
GenreSignal candidat: Synthèse · Signal consensuel: aucune
Score de désaccord entre enseignants0,002
Score d'incertitude au seuil0,010

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0020,004
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0020,001
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

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.

Tête enseignante Opus0,009
Tête enseignante GPT0,293
Écart entre enseignants0,284 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeRevue systématique
Domainenon disponible
GenreSynthèse

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations2
Publié2000
Routes d'admission1
Résumé présentoui

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Même revueJournal of Pediatric Gastroenterology and NutritionMême sujetInfant Nutrition and HealthTravaux en français237 207