Literature DB >> 36203085

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

Katherine A Bell1,2, Sara E Ramel3, Daniel T Robinson4, Carol L Wagner5, Brian Scottoline6, Mandy B Belfort7,8.   

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.
© 2022. The Author(s), under exclusive licence to Springer Nature America, Inc.

Entities:  

Year:  2022        PMID: 36203085     DOI: 10.1038/s41372-022-01529-9

Source DB:  PubMed          Journal:  J Perinatol        ISSN: 0743-8346            Impact factor:   3.225


  57 in total

Review 1.  The evaluation of diagnostic tests: evidence on technical and diagnostic accuracy, impact on patient outcome and cost-effectiveness is needed.

Authors:  A Van den Bruel; I Cleemput; B Aertgeerts; D Ramaekers; F Buntinx
Journal:  J Clin Epidemiol       Date:  2007-08-29       Impact factor: 6.437

2.  Greater Early Gains in Fat-Free Mass, but Not Fat Mass, Are Associated with Improved Neurodevelopment at 1 Year Corrected Age for Prematurity in Very Low Birth Weight Preterm Infants.

Authors:  Sara E Ramel; Heather L Gray; Ellen Christiansen; Christopher Boys; Michael K Georgieff; Ellen W Demerath
Journal:  J Pediatr       Date:  2016-04-04       Impact factor: 4.406

3.  Infant body composition assessment in the neonatal intensive care unit (NICU) using air displacement plethysmography: Strategies for implementation into clinical workflow.

Authors:  Zaineh Alja'nini; Kera Michelle McNelis; Sreekanth Viswanathan; Gillian R Goddard; Stephanie Merlino-Barr; Marc Collin; Sharon Groh-Wargo
Journal:  Clin Nutr ESPEN       Date:  2021-04-24

Review 4.  Beyond diagnostic accuracy: the clinical utility of diagnostic tests.

Authors:  Patrick M M Bossuyt; Johannes B Reitsma; Kristian Linnet; Karel G M Moons
Journal:  Clin Chem       Date:  2012-12       Impact factor: 8.327

5.  A new air displacement plethysmograph for the measurement of body composition in infants.

Authors:  Alessandro Urlando; Philip Dempster; Susan Aitkens
Journal:  Pediatr Res       Date:  2003-03       Impact factor: 3.756

Review 6.  Body composition assessment in the infant.

Authors:  Ellen W Demerath; David A Fields
Journal:  Am J Hum Biol       Date:  2014-01-15       Impact factor: 1.937

Review 7.  Body composition of the male and female reference infants.

Authors:  Samuel J Fomon; Steven E Nelson
Journal:  Annu Rev Nutr       Date:  2002-01-04       Impact factor: 11.848

8.  Associations of body composition with regional brain volumes and white matter microstructure in very preterm infants.

Authors:  Katherine Ann Bell; Lillian G Matthews; Sara Cherkerzian; Anna K Prohl; Simon K Warfield; Terrie E Inder; Shun Onishi; Mandy B Belfort
Journal:  Arch Dis Child Fetal Neonatal Ed       Date:  2022-01-20       Impact factor: 6.643

9.  Early body composition changes are associated with neurodevelopmental and metabolic outcomes at 4 years of age in very preterm infants.

Authors:  Katie M Pfister; Lei Zhang; Neely C Miller; Ellen C Ingolfsland; Ellen W Demerath; Sara E Ramel
Journal:  Pediatr Res       Date:  2018-08-21       Impact factor: 3.756

10.  Association between Fat-Free Mass and Brain Size in Extremely Preterm Infants.

Authors:  Christoph Binder; Julia Buchmayer; Alexandra Thajer; Vito Giordano; Victor Schmidbauer; Karin Harreiter; Katrin Klebermass-Schrehof; Angelika Berger; Katharina Goeral
Journal:  Nutrients       Date:  2021-11-24       Impact factor: 5.717

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