Can Ultrasound Measures of Muscle and Adipose Tissue Thickness Predict Body Composition of Premature Infants in the Neonatal Intensive Care Unit?
body composition
nutrition assessment
pediatrics
Journal
JPEN. Journal of parenteral and enteral nutrition
ISSN: 1941-2444
Titre abrégé: JPEN J Parenter Enteral Nutr
Pays: United States
ID NLM: 7804134
Informations de publication
Date de publication:
02 2021
02 2021
Historique:
received:
19
09
2019
accepted:
03
03
2020
pubmed:
8
4
2020
medline:
22
4
2021
entrez:
8
4
2020
Statut:
ppublish
Résumé
Premature infants are at risk for adverse metabolic and neurodevelopmental outcomes due to growth alterations in early infancy. Monitoring body composition by tracking gains in fat mass (FM) and fat-free mass (FFM) may assist clinicians in preventing obesity and metabolic disease while promoting optimal growth and development. A prospective, observational study was conducted to determine the ability of ultrasound (US) measurements of muscle and adipose tissue thickness to predict whole-body composition (FFM, FM, percent body fat [%BF]). Sixty-three healthy premature infants were recruited from the University of Minnesota's Neonatal Intensive Care Unit. Anthropometric measurements, air displacement plethysmography, and US measurements of abdomen, biceps, and quadriceps muscle and of adipose tissue thickness were conducted when infants were medically stable. The relationship between US measurements and body composition was assessed using stepwise linear regression analysis. In linear regression analyses, biceps adipose and the sum of adipose thickness measurements were significant predictors of %BF, but prediction models had low R US measurements of muscle and adipose tissue thickness at the examined sites are not adequate surrogates for whole-body composition in preterm infants. Exploration of alternate measurement sites may improve predictive ability.
Sections du résumé
BACKGROUND
Premature infants are at risk for adverse metabolic and neurodevelopmental outcomes due to growth alterations in early infancy. Monitoring body composition by tracking gains in fat mass (FM) and fat-free mass (FFM) may assist clinicians in preventing obesity and metabolic disease while promoting optimal growth and development. A prospective, observational study was conducted to determine the ability of ultrasound (US) measurements of muscle and adipose tissue thickness to predict whole-body composition (FFM, FM, percent body fat [%BF]).
METHODS
Sixty-three healthy premature infants were recruited from the University of Minnesota's Neonatal Intensive Care Unit. Anthropometric measurements, air displacement plethysmography, and US measurements of abdomen, biceps, and quadriceps muscle and of adipose tissue thickness were conducted when infants were medically stable. The relationship between US measurements and body composition was assessed using stepwise linear regression analysis.
RESULTS
In linear regression analyses, biceps adipose and the sum of adipose thickness measurements were significant predictors of %BF, but prediction models had low R
CONCLUSION
US measurements of muscle and adipose tissue thickness at the examined sites are not adequate surrogates for whole-body composition in preterm infants. Exploration of alternate measurement sites may improve predictive ability.
Types de publication
Journal Article
Observational Study
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
323-330Informations de copyright
© 2020 American Society for Parenteral and Enteral Nutrition.
Références
Johnson MJ, Wootton S, Leaf A, Jackson A. Preterm birth and body composition at term equivalent age: a systematic review and meta-analysis. Pediatrics. 2012;130(3):e640-e649.
Ramel SE, Demerath EW, Gray HL, Younge N, Boys C, Georgieff MK. The relationship of poor linear growth velocity with neonatal illness and two-year neurodevelopment in preterm infants. Neonatology. 2012;102(1):19-24.
Ramel SE, Gray HL, Ode KL, Younge N, Georgieff MK, Demerath EW. Body composition changes in preterm infants following hospital discharge. J Pediatr Gastroenterol Nutr. 2011;53(3):333-338.
Cho WK, Suh B-K. Catch-up growth and catch-up fat in children born small for gestational age. Korean J Pediatr. 2016;59(1):1-7.
Payal V, Jora R, Sharma P, Gupta PK, Gupta M. Premature birth and insulin resistance in infancy: A prospective cohort study. Indian J Endocrinol Metab. 2016;20(4):497-505.
Zheng M, Lamb KE, Grimes C, et al. Rapid weight gain during infancy and subsequent adiposity: a systematic review and meta-analysis of evidence. Obes Rev. 2018;19(3):321-332.
Ong KKL, Ahmed ML, Emmett PM, Preece MA, Dunger DB. Association between postnatal catch-up growth and obesity in childhood: prospective cohort study. Br J Dermatol. 1999;141320(320):185-91967.
Eriksson JG, Forsén T, Tuomilehto J, Winter PD, Osmond C, Barker DJP. Catch-up growth in childhood and death from coronary heart disease: longitudinal study. Br Med J. 1999;318(7181):427-431.
Pfister KM, Zhang L, Miller NC, Ingolfsland EC, Demerath EW, Ramel SE. Early body composition changes are associated with neurodevelopmental and metabolic outcomes at 4 years of age in very preterm infants. Pediatr Res. 2018;84(5):713-718.
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. https://doi.org/10.1016/j.jpeds.2016.03.003.
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(5):576-583.
Demerath EW, Fields DA. Body composition assessment in the infant. Am J Hum Biol. 2014;26(3):291-304.
Plaisier A, Raets MMA, van der Starre C, et al. Safety of routine early MRI in preterm infants. Pediatr Radiol. 2012;42(10):1205-11.
Benavente-Fernández I, Lubián-López P, Zuazo-Ojeda M, Jiménez-Gómez G, Lechuga-Sancho A. Safety of magnetic resonance imaging in preterm infants. Acta Paediatr. 2010;99(6):850-853.
Pineau J-C, Lalys L, Bocquet M, et al. Ultrasound measurement of total body fat in obese adolescents. Ann Nutr Metab. 2010;56(1):36-44.
Leahy S, Toomey C, McCreesh K, O'Neill C, Jakeman P. Ultrasound measurement of subcutaneous adipose tissue thickness accurately predicts total and segmental body fat of young adults. Ultrasound Med Biol. 2012;38(1):28-34.
Abe T, Kondo M, Kawakami Y, Fukunaga T. Prediction equations for body composition of Japanese adults by B-mode ultrasound. Am J Hum Biol. 1994;6(2):161-170.
Mourtzakis M, Parry S, Connolly B, Puthucheary Z. Skeletal muscle ultrasound in critical care: a tool in need of translation. Ann Am Thorac Soc. 2017;14(10):1495-1503.
Urlando A, Dempster P, Aitkens S. A new air displacement plethysmograph for the measurement of body composition in infants. Pediatr Res. 2003;53(3):486-492.
Ma G, Yao M, Liu Y, et al. Validation of a new pediatric air-displacement plethysmograph for assessing body composition in infants. Am J Clin Nutr. 2004;79(4):653-660.
Forsum E, Olhager E, Törnqvist C. An evaluation of the Pea Pod system for assessing body composition of moderately premature infants. Nutrients. 2016;8(4):238.
Sainz RD, Urlando A. Evaluation of a new pediatric air-displacement plethysmograph for body-composition assessment by means of chemical analysis of bovine tissue phantoms. Am J Clin Nutr. 2003;77(2):364-70.
Fomon SJ, Haschke F, Ziegler EE, Nelson SE. Body composition of reference children from birth to age 10 years. Am J Clin Nutr. 1982;35(5 Suppl):1169-1175.
Ma G, Yao M, Lin Y, et al. Validation of a new pediatric air-displacement plethysmograph for assessing body composition in infants. Am J Clin Nutr. 2004;79(4):653-660.
Roggero P, Giannì ML, Amato O, et al. Evaluation of air-displacement plethysmography for body composition assessment in preterm infants. Pediatr Res. 2012;72(3):316-320.
Toomey C, McCreesh K, Leahy S, Jakeman P. Technical considerations for accurate measurement of subcutaneous adipose tissue thickness using B-mode ultrasound. Ultrasound. 2011;19(2):91-96.
Scholten RR, Pillen S, Verrips A, Zwarts MJ. Quantitative ultrasonography of skeletal muscles in children: normal values. Muscle and Nerve. 2003;27(6):693-698.
Wagner DR. Ultrasound as a tool to assess body fat. J Obes. 2013;2013:280713. https://doi.org/10.1155/2013/280713.
Takai Y, Ohta M, Akagi R, et al. Applicability of ultrasound muscle thickness measurements for predicting fat-free mass in elderly population. J Nutr Heal Aging. 2014;18(6):579-585.
Ahmad I, Nemet D, Eliakim A, et al. Body composition and its components in preterm and term newborns: a cross-sectional, multi-modal investigation. Am J Hum Biol. 2010;22(1):69-75.
Shrout PE, Fleiss JL. Intraclass correlations: uses in assessing rater reliability. Psychol Bull. 1979;86(2):420-428.
Group WMGRS. Reliability of anthropometric measurements in the WHO Multicentre Growth Reference Study. Acta Paediatr Int J Paediatr. 2006;95(SUPPL. 450):38-46.
Ulijaszek SJ, Kerr DA. Anthropometric measurement error and the assessment of nutritional status. Br J Nutr. 1999;82(3):165-177.
McLeod G, Geddes D, Nathan E, Sherriff J, Simmer K, Hartmann P. Feasibility of using ultrasound to measure preterm body composition and to assess macronutrient influences on tissue accretion rates. Early Hum Dev. 2013;89(8):577-582.
Ramel SE, Zhang L, Misra S, Anderson CG, Demerath EW. Do anthropometric measures accurately reflect body composition in preterm infants? Pediatr Obes. 2017;12(Suppl 1):72-77.
Simon L, Frondas-Chauty A, Senterre T, Flamant C, Darmaun D, Rozé J-C. Determinants of body composition in preterm infants at the time of hospital discharge. Am J Clin Nutr. 2014;100(1):98-104.