Evidence map›Paper›PMID 40443193›Full record

ArticleNutrition in clinical practice : official publication of the American Society for Parenteral and Enteral Nutrition2025

Accuracy and reliability of bioelectrical impedance analysis for determining body composition among preterm infants.

Katherine A Bell, Wei Wang, Emily M Nagel, Hunter Pepin, Erin Plummer, Lauren A Buckley, Sara E Ramel, Mandy B Belfort

Abstract read
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Article in Nutrition in clinical practice : official publication of the American Society for Parenteral and Enteral Nutrition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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4citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Katherine A BellDepartment of Pediatrics, Division of Newborn Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA.ORCID https://orcid.org/0000-0002-4287-0667
Wei WangHarvard Medical School, Boston, Massachusetts, USA.
Emily M NagelDepartment of Pediatrics, Division of Neonatology, University of Minnesota, Minneapolis, Minnesota, USA.ORCID https://orcid.org/0000-0002-5792-009X
Hunter PepinDepartment of Pediatrics, Division of Newborn Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA.
Erin PlummerChildren's Minnesota-Minneapolis and St. Paul Hospitals, Minneapolis, Minnesota, USA.
Lauren A BuckleyDepartment of Pediatrics, Division of Neonatology, University of Minnesota, Minneapolis, Minnesota, USA.
Sara E RamelDepartment of Pediatrics, Division of Neonatology, University of Minnesota, Minneapolis, Minnesota, USA.
Mandy B BelfortDepartment of Pediatrics, Division of Newborn Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA.ORCID https://orcid.org/0000-0001-8799-3313

Funding

Development of a brain-specific nutritional status indicator for very preterm infantsR01HD111016 · NICHD · BRIGHAM AND WOMEN'S HOSPITAL · PI BELFORT, MANDY BROWN, RAMEL, SARA E · 2022 to 2025
$2.8M
The Impact of Zinc Intake on Nutritional Status and Brain Development Among Preterm InfantsK23HD104000 · NICHD · BRIGHAM AND WOMEN'S HOSPITAL · PI Katherine Bell · 2022 to 2026
$833k
NICHD NIH HHS K23 HD104000NICHD NIH HHS K23HD104000 (Katherine A. Bell)NICHD NIH HHS R01HD09732 (Mandy B. Belfort)NICHD NIH HHS R01 HD111016This research was funded by NICHD R01HD111016 (Mandy B. Belfort and Sara E. Ramel)
6 · The paper itself

Abstract

backgroundBody composition is an important nutritional status indicator among preterm infants, but is challenging to measure in the neonatal intensive care unit (NICU). Bioelectrical impedance analysis (BIA) is highly feasible, but accuracy depends on using a valid prediction equation. We aimed to evaluate the accuracy of available prediction equations, relative to air displacement plethysmography (ADP) as the criterion method, within a cohort of hospitalized preterm infants.

methodsPreterm infants (23-35 weeks' gestation) underwent concurrent BIA and ADP up to three times between birth and term equivalent age. Using 11 published prediction equations, we estimated infant body composition from BIA data. To determine validity, we used Bland-Altman plots to compare BIA-derived fat-free mass (FFM) with FFM measured concurrently by ADP.

resultsOne hundred and fifteen infants, with a median 30 6/7 weeks' gestation, underwent 150 instances of concurrent BIA and ADP at ages 1 to 135 (median: 40) days. Agreement between BIA and ADP-derived FFM varied widely depending on the BIA equation used, with mean bias (±95% confidence limits) ranging from 0.14 (±0.24) to 1.34 (±1.51) kg. The Dung, Lingwood, and Tint equations demonstrated the greatest agreement with ADP, with a mean bias of 0.14-0.32 kg and narrow limits of agreement (±0.23-0.28 kg). All equations demonstrated some bias.

conclusionBIA is a feasible tool for measuring body composition among preterm infants. Existing published equations demonstrate reasonable agreement with ADP but require a correction factor to adjust for bias. A novel prediction equation specific to preterm infants might offer improved agreement and reduced bias.

Indexed as

Body CompositionElectric ImpedanceInfant, PrematureCohort StudiesFemaleGestational AgeHumansInfant, NewbornIntensive Care Units, NeonatalMaleNutritional StatusPlethysmographyReproducibility of Resultsbody compositionlife cycleneonatesnutritionnutrition assessmentresearch and diseases

Identifiers

PMID40443193
PMCPMC13122183

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