PDF herunterladen
Am J Perinatol 2024; 41(03): 368-372
DOI: 10.1055/a-1925-1911
Short Communication

Enhancing Interpretation of One-Time Body Composition Measurement at Near-Term Gestation in Preterm Infants: An Exploratory Study

Sreekanth Viswanathan
1   Division of Neonatology, Department of Pediatrics, Nemours Children's Hospital, University of Central Florida College of Medicine, Orlando, Florida
,
Kera McNelis 
2   Division of Neonatology, Department of Pediatrics, Perinatal Institute, Cincinnati Children's Hospital Medical Center, Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio
,
Zaineh Alja'nini
3   Division of Neonatology, Department of Pediatrics, Mercy Kids Children's Hospital, University of Missouri School of Medicine, Springfield, Missouri
,
Stephanie Merlino
4   Department of Pediatrics, MetroHealth Medical Center affiliated with Case Western Reserve University, Cleveland, Ohio
,
Marc Collin
4   Department of Pediatrics, MetroHealth Medical Center affiliated with Case Western Reserve University, Cleveland, Ohio
,
Sharon Groh-Wargo
4   Department of Pediatrics, MetroHealth Medical Center affiliated with Case Western Reserve University, Cleveland, Ohio
› Institutsangaben Funding None.
› Weitere Informationen
Auch verfügbar auf
    Lizenzen und Reprints

Abstract

In preterm infants, longitudinal growth patterns have a stronger association with clinical outcomes than cross-sectional metrics. For qualitative growth, a one-time body composition measurement at near term is common, and here we explore the potential use of a novel estimated longitudinal body composition metric (adjusted fat-free mass deficit) using birth anthropometrics.

Key Points

  • Longitudinal growth patterns are better linked with clinical outcomes in preterm infants.

  • Body composition is increasingly used to assess the quality of postnatal growth in preterm infants.

  • Single body composition at term adjusted using birth weight may be better predictive for outcomes.

Keywords

body composition - preterm infants - postnatal growth

Note

S.V. is the guarantor of the article.




Publikationsverlauf

Eingereicht: 22. Juni 2022

Angenommen: 01. August 2022

Accepted Manuscript online:
16. August 2022

Artikel online veröffentlicht:
29. September 2022

© 2022. Thieme. All rights reserved.

Thieme Medical Publishers, Inc.
333 Seventh Avenue, 18th Floor, New York, NY 10001, USA

 

  • References

  • 1 Ong KK, Kennedy K, Castañeda-Gutiérrez E. et al. Postnatal growth in preterm infants and later health outcomes: a systematic review. Acta Paediatr 2015; 104 (10) 974-986
    CrossrefPubMedGoogle Scholar
  • 2 Taine M, Charles MA, Beltrand J. et al. Early postnatal growth and neurodevelopment in children born moderately preterm or small for gestational age at term: a systematic review. Paediatr Perinat Epidemiol 2018; 32 (03) 268-280
    CrossrefPubMedGoogle Scholar
  • 3 Coviello C, Keunen K, Kersbergen KJ. et al. Effects of early nutrition and growth on brain volumes, white matter microstructure, and neurodevelopmental outcome in preterm newborns. Pediatr Res 2018; 83 (1,1): 102-110
    CrossrefPubMedGoogle Scholar
  • 4 Fenton TR, Cormack B, Goldberg D. et al. “Extrauterine growth restriction” and “postnatal growth failure” are misnomers for preterm infants. J Perinatol 2020; 40 (05) 704-714
    CrossrefPubMedGoogle Scholar
  • 5 Horbar JD, Ehrenkranz RA, Badger GJ. et al. Weight growth velocity and postnatal growth failure in infants 501 to 1500 grams: 2000-2013. Pediatrics 2015; 136 (01) e84-e92
    CrossrefPubMedGoogle Scholar
  • 6 Stevens TP, Shields E, Campbell D. et al. Statewide initiative to reduce postnatal growth restriction among infants <31 weeks of gestation. J Pediatr 2018; 197: 82-89.e2
    CrossrefPubMedGoogle Scholar
  • 7 Fenton TR, Goldberg D, Alshaikh B. et al. A holistic approach to infant growth assessment considers clinical, social and genetic factors rather than an assessment of weight at a set timepoint. J Perinatol 2021; 41 (03) 650-651
    CrossrefPubMedGoogle Scholar
  • 8 Fenton TR, Nasser R, Creighton D. et al. Weight, length, and head circumference at 36 weeks are not predictive of later cognitive impairment in very preterm infants. J Perinatol 2021; 41 (03) 606-614
    CrossrefPubMedGoogle Scholar
  • 9 Zozaya C, Díaz C, Saenz de Pipaón M. How should we define postnatal growth restriction in preterm infants?. Neonatology 2018; 114 (02) 177-180
    CrossrefPubMedGoogle Scholar
  • 10 Simon L, Théveniaut C, Flamant C, Frondas-Chauty A, Darmaun D, Rozé JC. In preterm infants, length growth below expected growth during hospital stay predicts poor neurodevelopment at 2 years. Neonatology 2018; 114 (02) 135-141
    CrossrefPubMedGoogle Scholar
  • 11 Raghuram K, Yang J, Church PT. et al; Canadian Neonatal Network, Canadian Neonatal Follow-Up Network Investigators. Head growth trajectory and neurodevelopmental outcomes in preterm neonates. Pediatrics 2017; 140 (01) e20170216
    CrossrefPubMedGoogle Scholar
  • 12 Frondas-Chauty A, Simon L, Flamant C, Hanf M, Darmaun D, Rozé JC. Deficit of fat free mass in very preterm infants at discharge is associated with neurological impairment at age 2 years. J Pediatr 2018; 196: 301-304
    CrossrefPubMedGoogle Scholar
  • 13 Pfister KM, Gray HL, Miller NC, Demerath EW, Georgieff MK, Ramel SE. Exploratory study of the relationship of fat-free mass to speed of brain processing in preterm infants. Pediatr Res 2013; 74 (05) 576-583
    CrossrefPubMedGoogle Scholar
  • 14 Ramel SE, Gray HL, Christiansen E, Boys C, Georgieff MK, Demerath EW. 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. J Pediatr 2016; 173: 108-115
    CrossrefPubMedGoogle Scholar
  • 15 Binder C, Buchmayer J, Thajer A. et al. Association between fat-free mass and brain size in extremely preterm infants. Nutrients 2021; 13 (12) 4205
    CrossrefPubMedGoogle Scholar
  • 16 Alja'nini Z, Merlino-Barr S, Brumfiel A. et al. Effect of parenteral nutrition duration on patterns of growth and body composition in very low-birth-weight premature infants. JPEN J Parenter Enteral Nutr 2021; 45 (08) 1673-1682
    CrossrefPubMedGoogle Scholar
  • 17 Nagel E, Hickey M, Teigen L. et al. Clinical application of body composition methods in premature infants. JPEN J Parenter Enteral Nutr 2020; 44 (05) 785-795
    CrossrefPubMedGoogle Scholar
  • 18 Fenton TR, Kim JH. A systematic review and meta-analysis to revise the Fenton growth chart for preterm infants. BMC Pediatr 2013; 13: 59
    CrossrefPubMedGoogle Scholar
  • 19 Shah PS, Wong KY, Merko S. et al. Postnatal growth failure in preterm infants: ascertainment and relation to long-term outcome. J Perinat Med 2006; 34 (06) 484-489
    PubMedGoogle Scholar
  • 20 Goldberg DL, Becker PJ, Brigham K. et al. Identifying malnutrition in preterm and neonatal populations: recommended indicators. J Acad Nutr Diet 2018; 118 (09) 1571-1582
    CrossrefPubMedGoogle Scholar
  • 21 Chan SH, Johnson MJ, Leaf AA, Vollmer B. Nutrition and neurodevelopmental outcomes in preterm infants: a systematic review. Acta Paediatr 2016; 105 (06) 587-599
    CrossrefPubMedGoogle Scholar
  • 22 Hortensius LM, van Elburg RM, Nijboer CH, Benders MJNL, de Theije CGM. Postnatal nutrition to improve brain development in the preterm infant: a systematic review from bench to bedside. Front Physiol 2019; 10: 961
    CrossrefPubMedGoogle Scholar
  • 23 Rozé JC, Darmaun D, Boquien CY. et al. The apparent breastfeeding paradox in very preterm infants: relationship between breast feeding, early weight gain and neurodevelopment based on results from two cohorts, EPIPAGE and LIFT. BMJ Open 2012; 2 (02) e000834
    CrossrefPubMedGoogle Scholar
  • 24 Li Y, Liu X, Modi N, Uthaya S. Impact of breast milk intake on body composition at term in very preterm babies: secondary analysis of the Nutritional Evaluation and Optimisation in Neonates randomised controlled trial. Arch Dis Child Fetal Neonatal Ed 2019; 104 (03) F306-F312
    CrossrefPubMedGoogle Scholar
  • 25 Norris T, Ramel SE, Catalano P. et al. New charts for the assessment of body composition, according to air-displacement plethysmography, at birth and across the first 6 mo of life. Am J Clin Nutr 2019; 109 (05) 1353-1360
    CrossrefPubMedGoogle Scholar
  • 26 Alja'nini Z, McNelis KM, Viswanathan S. et al. Infant body composition assessment in the neonatal intensive care unit (NICU) using air displacement plethysmography: strategies for implementation into clinical workflow. Clin Nutr ESPEN 2021; 43: 212-222
    CrossrefPubMedGoogle Scholar