Establishing feasibility and reliability of subcutaneous fat measurements by ultrasound in very preterm infants.


Journal

Pediatric research
ISSN: 1530-0447
Titre abrégé: Pediatr Res
Pays: United States
ID NLM: 0100714

Informations de publication

Date de publication:
28 Jul 2024
Historique:
received: 13 03 2024
accepted: 13 07 2024
revised: 23 05 2024
medline: 29 7 2024
pubmed: 29 7 2024
entrez: 28 7 2024
Statut: aheadofprint

Résumé

Regional fat distribution may be a marker of metabolic health and brain growth in preterm infants. Point of care ultrasound has been used to assess regional fat in term infants but has not been used widely in preterm infants. To longitudinally quantify changes in body composition metrics using bedside ultrasound in very preterm infants. Very preterm infants (N = 69) were enrolled after birth and body composition assessments were done through 36 completed weeks' postmenstrual age (PMA). Linear mixed effects regression was used to model change in body composition assessments over time. There was an average increase across PMA for each body composition outcome. Biceps ultrasound subcutaneous fat (SQF) thickness increased by 0.11 mm (95% CI: 0.09, 0.13) each postmenstrual week. Triceps, subscapular, and abdominal ultrasound SQF remained constant through 28 weeks' PMA, then increased each week through 36 completed weeks' PMA. The inter-rater and intra-rater intraclass correlation coefficients for the ultrasound SQF measures ranged from 85.8 to 99.9. Use of ultrasound as a novel method to assess regional fat distribution in very preterm infants is feasible and reliable. Regional fat distribution may be a marker of metabolic health and brain growth in preterm infants. Gold standard body composition assessments may not be feasible in medically fragile very preterm infants. This study assesses longitudinally changes in regional adiposity development using bedside ultrasound techniques in a multicenter cohort of very preterm infants. Results of this study show that bedside ultrasound as a novel method to assess regional subcutaneous fat distribution and development in very preterm infants is both feasible and reliable.

Sections du résumé

BACKGROUND BACKGROUND
Regional fat distribution may be a marker of metabolic health and brain growth in preterm infants. Point of care ultrasound has been used to assess regional fat in term infants but has not been used widely in preterm infants.
OBJECTIVE OBJECTIVE
To longitudinally quantify changes in body composition metrics using bedside ultrasound in very preterm infants.
STUDY DESIGN METHODS
Very preterm infants (N = 69) were enrolled after birth and body composition assessments were done through 36 completed weeks' postmenstrual age (PMA). Linear mixed effects regression was used to model change in body composition assessments over time.
RESULTS RESULTS
There was an average increase across PMA for each body composition outcome. Biceps ultrasound subcutaneous fat (SQF) thickness increased by 0.11 mm (95% CI: 0.09, 0.13) each postmenstrual week. Triceps, subscapular, and abdominal ultrasound SQF remained constant through 28 weeks' PMA, then increased each week through 36 completed weeks' PMA. The inter-rater and intra-rater intraclass correlation coefficients for the ultrasound SQF measures ranged from 85.8 to 99.9.
CONCLUSION CONCLUSIONS
Use of ultrasound as a novel method to assess regional fat distribution in very preterm infants is feasible and reliable.
IMPACT CONCLUSIONS
Regional fat distribution may be a marker of metabolic health and brain growth in preterm infants. Gold standard body composition assessments may not be feasible in medically fragile very preterm infants. This study assesses longitudinally changes in regional adiposity development using bedside ultrasound techniques in a multicenter cohort of very preterm infants. Results of this study show that bedside ultrasound as a novel method to assess regional subcutaneous fat distribution and development in very preterm infants is both feasible and reliable.

Identifiants

pubmed: 39069538
doi: 10.1038/s41390-024-03439-2
pii: 10.1038/s41390-024-03439-2
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© 2024. The Author(s), under exclusive licence to the International Pediatric Research Foundation, Inc.

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Auteurs

Catherine O Buck (CO)

Department of Pediatrics, Yale School of Medicine, New Haven, CT, USA. Catherine.buck@yale.edu.

Kristin L Santoro (KL)

Department of Neonatology, Beth Israel Deaconess Medical Center; Harvard Medical School, Boston, MA, USA.

Veronika Shabanova (V)

Department of Pediatrics, Yale School of Medicine, New Haven, CT, USA.

Camilia R Martin (CR)

Division of Neonatology, Weill Cornell Medicine, New York, NY, USA.

Sarah N Taylor (SN)

Department of Pediatrics, Yale School of Medicine, New Haven, CT, USA.

Classifications MeSH