Julie Larcade1, Pierre Pradat, Rachel Buffin, Charline Leick-Courtois, Emilie Jourdes, Jean-Charles Picaud. 1. *Neonatology, Croix Rousse Hospital †Centre for Clinical Research, University Hospital Croix Rousse, Hospices Civils de Lyon, Lyon ‡Lyon-Sud Charles Merieux Medical School, Claude Bernard University Lyon 1 §Rhone-Alpes Human Nutrition Research Center, Pierre Benite, France.
Abstract
OBJECTIVES: The purpose of the present study was to validate a previously calculated equation (E1) that estimates infant fat-free mass (FFM) at discharge using data from a population of preterm infants receiving an optimized feeding regimen. METHODS: Preterm infants born before 33 weeks of gestation between April 2014 and November 2015 in the tertiary care unit of Croix-Rousse Hospital in Lyon, France, were included in the study. At discharge, FFM was assessed by air displacement plethysmography (PEA POD) and was compared with FFM estimated by E1. FFM was estimated using a multiple linear regression model. RESULTS: Data on 155 preterm infants were collected. There was a strong correlation between the FFM estimated by E1 and FFM assessed by the PEA POD (r = 0.939). E1, however, underestimated the FFM (average difference: -197 g), and this underestimation increased as FFM increased. A new, more predictive equation is proposed (r = 0.950, average difference: -12 g). CONCLUSIONS: Although previous estimation methods were useful for estimating FFM at discharge, an equation adapted to present populations of preterm infants with "modern" neonatal care and nutritional practices is required for accuracy.
OBJECTIVES: The purpose of the present study was to validate a previously calculated equation (E1) that estimates infant fat-free mass (FFM) at discharge using data from a population of preterm infants receiving an optimized feeding regimen. METHODS: Preterm infants born before 33 weeks of gestation between April 2014 and November 2015 in the tertiary care unit of Croix-Rousse Hospital in Lyon, France, were included in the study. At discharge, FFM was assessed by air displacement plethysmography (PEA POD) and was compared with FFM estimated by E1. FFM was estimated using a multiple linear regression model. RESULTS: Data on 155 preterm infants were collected. There was a strong correlation between the FFM estimated by E1 and FFM assessed by the PEA POD (r = 0.939). E1, however, underestimated the FFM (average difference: -197 g), and this underestimation increased as FFM increased. A new, more predictive equation is proposed (r = 0.950, average difference: -12 g). CONCLUSIONS: Although previous estimation methods were useful for estimating FFM at discharge, an equation adapted to present populations of preterm infants with "modern" neonatal care and nutritional practices is required for accuracy.
Authors: Dana F J Yumani; Dide de Jongh; Johannes C F Ket; Harrie N Lafeber; Mirjam M van Weissenbruch Journal: Pediatr Res Date: 2022-08-22 Impact factor: 3.953