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Protein Balance and Body Composition in Preterm Infants

Protein Balance and Body Composition in Preterm Infants According to Feeding Regimen

Status
UNKNOWN
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT03013374
Enrollment
30
Registered
2017-01-06
Start date
2015-01-31
Completion date
2017-06-30
Last updated
2017-01-10

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Human Milk, PreTerm Birth

Keywords

protein accretion, body composition

Brief summary

The adequacy of the quality of protein supply could influence the rate and the relative composition of weight gain in very low birth weight preterm infants. Aim of the study is to investigate protein balance according to feeding regimen and the association between human milk feeding and fat free mass content at term corrected age in a cohort of very low birth weight infants.

Detailed description

Nutritional management of preterm infants aims to approximate tissue growth and body composition of a foetus of same postconceptional age. The adequacy of the quality of protein supply could influence the rate and the relative composition of weight gain. Aim of the study is to investigate protein balance according to feeding regimen and the association between exclusive human milk feeding and fat free mass content at term corrected age in a cohort of very low birth weight infants. A prospective observational study. Infants are included according to inclusion criteria. Enrollment is performed at hospital discharge. Infants are divided into two groups (exclusively human milk or exclusively formula) according to own mother's milk availability. At enrollment macronutrients' intakes and protein balance are determined. Anthropometric measurements and body composition are also assessed. Nutritional composition of human milk is calculated by infrared spectroscopy (MIRIS® AB, Uppsala, Sweden). Protein balance is determined according to nitrogen balance standard method. Body composition is assessed by an air-displacement plethysmography system system (PEA POD Infant Body Composition System, COSMED SRL, Roma, Italy). At term corrected age anthropometry and body composition assessments are repeated.

Interventions

None listed

Sponsors

Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
23 Weeks to 32 Weeks
Healthy volunteers
No

Inclusion criteria

* gestational age ≤32 weeks * birth weight \< 1500 grams * birth weight ≥10th percentile according to Fenton's growth chart * stable clinical conditions at discharge * feeding by mouth with either exclusively human milk or formula at discharge

Exclusion criteria

* congenital or chromosomal abnormalities * conditions that could interfere with growth such as chronic lung disease, neurological disorders, metabolic, cardiac disease and abdominal surgery, renal failure and/or sepsis (defined as a positive blood culture).

Design outcomes

Primary

MeasureTime frameDescription
Protein balanceat hospital discharge (that is 35-36 post conceptional weeks)Protein balance will be determined according to nitrogen balance standard method and defined as the difference between daily nitrogen intake and daily urinary nitrogen excretion. Nitrogen intake will be measured from the amount of total protein intake (i.e. grams of nitrogen intake=grams of protein intake/6.25). Urinary urea nitrogen excretion will be considered representative of total nitrogen loss. Urinary urea will be calculated from urine specimens collected by cotton balls.

Secondary

MeasureTime frameDescription
Fat free mass contentTerm corrected age (that is 40 post conceptional weeks)Body composition will be assessed by an air-displacement plethysmography system (PEA POD Infant Body Composition System, COSMED SRL, Roma, Italy). The PEA POD assesses fat mass and fat-free mass by direct measurements of body mass and volume and the application of a classic densitometric model.

Countries

Italy

Contacts

Primary ContactLaura Morlacchi, MD
laura.morlacchi@mangiagalli.it+39 0255032483
Backup ContactPaola Roggero, MD
paola.roggero@unimi.it+39 0255032483

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Mar 7, 2026