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Body composition measurement for the preterm neonate: using a clinical utility framework to translate research tools into clinical care

Journal of Perinatology volume 42, pages 1550–1555 (2022)Cite this article

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Abstract

Body composition analysis to distinguish between fat mass and fat-free mass is an established research approach to assess nutritional status. Within neonatal medicine, preterm infant body composition is linked with later health outcomes including neurodevelopment and cardiometabolic health. Mounting evidence establishing fat-free mass as an indicator of nutritional status, coupled with the availability of testing approaches that are feasible to use in preterm infants, have enhanced interest in measuring body composition in the neonatal intensive care unit (NICU) setting. In this paper, we use the concept of clinical utility—the added value of a new methodology over current standard care—as a framework for assessing several existing body composition methodologies with potential for clinical application to preterm neonates. We also use this framework to identify remaining knowledge gaps and prioritize efforts to advance our understanding of clinically-oriented body composition testing in the NICU.

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Funding

Portions of the work presented in this manuscript were supported by grants to KAB including a Marshall Klaus Perinatal Research Award from the American Academy of Pediatrics and Early Career Award from The Gerber Foundation, and by the Harvard Clinical and Translational Science Center (National Center for Advancing Translational Science, grants 1UL1TR001102 and 1UL1TR002541-01). DTR is funded by R21HD102778 from the National Institute of Child Health and Human Development. BPS is funded by the Gerber Foundation, with support from the Bill and Melinda Gates Foundation. CLW is funded in part by NIH 5R01HD043921, NIH RR01070, MUSC Department of Pediatrics, and by the South Carolina Clinical & Translational Research (SCTR) Institute, with an academic home at the Medical University of South Carolina (NIH/NCAT UL1 TR000062). MBB is funded by R01HD097327 from the National Institute of Child Health and Human Development. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Center for Research Resources or the National Institutes of Health.

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Authors and Affiliations

  1. Department of Pediatric Newborn Medicine, Brigham and Women’s Hospital, Boston, MA, USA

    Katherine A. Bell & Mandy B. Belfort

  2. Harvard Medical School, Boston, MA, USA

    Katherine A. Bell & Mandy B. Belfort

  3. Division of Neonatology, Department of Pediatrics, University of Minnesota, Minneapolis, MN, USA

    Sara E. Ramel

  4. Division of Neonatology, Ann & Robert H. Lurie Children’s Hospital of Chicago; and Department of Pediatrics, Northwestern University Feinberg School of Medicine, Chicago, IL, USA

    Daniel T. Robinson

  5. Division of Neonatal-Perinatal Medicine, Department of Pediatrics, Shawn Jenkins Children’s Hospital, Medical University of South Carolina, Charleston, SC, USA

    Carol L. Wagner

  6. Division of Neonatology, Department of Pediatrics, Oregon Health & Sciences University Medical School, Portland, OR, USA

    Brian Scottoline

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  1. Katherine A. Bell
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MBB, KAB, and SER conceptualized and designed the manuscript; all authors made substantial contributions to drafting the original manuscript; KAB edited the manuscript; SER, DTR, CLW, BS and MBB provided additional review, editing and feedback; and all authors have approved the final article.

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Correspondence to Katherine A. Bell.

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Bell, K.A., Ramel, S.E., Robinson, D.T. et al. Body composition measurement for the preterm neonate: using a clinical utility framework to translate research tools into clinical care. J Perinatol 42, 1550–1555 (2022). https://doi.org/10.1038/s41372-022-01529-9

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