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Neonatal growth velocity of preterm infants: The weight Z-score change versus Patel exponential model

BACKGROUND: Different methods are used to assess the growth of preterm infants during neonatal hospital stay. The primary objective was to compare two methods for assessing growth velocity: g/kg/d according to the Patel exponential model (EM) and change in weight z-score (ZS) according to Fenton cur...

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Autores principales: Simon, Laure, Hanf, Matthieu, Frondas-Chauty, Anne, Darmaun, Dominique, Rouger, Valérie, Gascoin, Géraldine, Flamant, Cyril, Nusinovici, Simon, Rozé, Jean-Christophe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6599123/
https://www.ncbi.nlm.nih.gov/pubmed/31251763
http://dx.doi.org/10.1371/journal.pone.0218746
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author Simon, Laure
Hanf, Matthieu
Frondas-Chauty, Anne
Darmaun, Dominique
Rouger, Valérie
Gascoin, Géraldine
Flamant, Cyril
Nusinovici, Simon
Rozé, Jean-Christophe
author_facet Simon, Laure
Hanf, Matthieu
Frondas-Chauty, Anne
Darmaun, Dominique
Rouger, Valérie
Gascoin, Géraldine
Flamant, Cyril
Nusinovici, Simon
Rozé, Jean-Christophe
author_sort Simon, Laure
collection PubMed
description BACKGROUND: Different methods are used to assess the growth of preterm infants during neonatal hospital stay. The primary objective was to compare two methods for assessing growth velocity: g/kg/d according to the Patel exponential model (EM) and change in weight z-score (ZS) according to Fenton curves. The secondary objective was to highlight factors influencing the level of agreement between the two methods. METHODS: Preterm infants born before 33 weeks were included. Growth velocity was computed by EM and ZS methods and linear regression was used to predict what growth velocity by EM method would be obtained using the ZS method. Differences between EM growth velocity and EM growth velocity predicted by ZS method were then used to assess the level of agreement between the two methods. A difference between -2 and +2 g/kg/day was considered as fair agreement, greater than ± 4 g/kg/day as poor agreement, and as disagreement otherwise. RESULTS: Among the 3954 children included, we observe a fair agreement in 2471 children (62.5%), a poor agreement in 1278 (32.3%) and a disagreement in 205 children (5.2%). Birth weight and gestational age explained 31% and 25%, respectively, of the variance in the difference between the two methods. CONCLUSIONS: In more than a third of enrolled children, the two methods for measuring growth velocity disagreed substantially. As variation of weight Z-score takes into account infant gestational age and gender, it could be more suitable to analyze a population of preterm infants with a wide range of gestational age.
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spelling pubmed-65991232019-07-12 Neonatal growth velocity of preterm infants: The weight Z-score change versus Patel exponential model Simon, Laure Hanf, Matthieu Frondas-Chauty, Anne Darmaun, Dominique Rouger, Valérie Gascoin, Géraldine Flamant, Cyril Nusinovici, Simon Rozé, Jean-Christophe PLoS One Research Article BACKGROUND: Different methods are used to assess the growth of preterm infants during neonatal hospital stay. The primary objective was to compare two methods for assessing growth velocity: g/kg/d according to the Patel exponential model (EM) and change in weight z-score (ZS) according to Fenton curves. The secondary objective was to highlight factors influencing the level of agreement between the two methods. METHODS: Preterm infants born before 33 weeks were included. Growth velocity was computed by EM and ZS methods and linear regression was used to predict what growth velocity by EM method would be obtained using the ZS method. Differences between EM growth velocity and EM growth velocity predicted by ZS method were then used to assess the level of agreement between the two methods. A difference between -2 and +2 g/kg/day was considered as fair agreement, greater than ± 4 g/kg/day as poor agreement, and as disagreement otherwise. RESULTS: Among the 3954 children included, we observe a fair agreement in 2471 children (62.5%), a poor agreement in 1278 (32.3%) and a disagreement in 205 children (5.2%). Birth weight and gestational age explained 31% and 25%, respectively, of the variance in the difference between the two methods. CONCLUSIONS: In more than a third of enrolled children, the two methods for measuring growth velocity disagreed substantially. As variation of weight Z-score takes into account infant gestational age and gender, it could be more suitable to analyze a population of preterm infants with a wide range of gestational age. Public Library of Science 2019-06-28 /pmc/articles/PMC6599123/ /pubmed/31251763 http://dx.doi.org/10.1371/journal.pone.0218746 Text en © 2019 Simon et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Simon, Laure
Hanf, Matthieu
Frondas-Chauty, Anne
Darmaun, Dominique
Rouger, Valérie
Gascoin, Géraldine
Flamant, Cyril
Nusinovici, Simon
Rozé, Jean-Christophe
Neonatal growth velocity of preterm infants: The weight Z-score change versus Patel exponential model
title Neonatal growth velocity of preterm infants: The weight Z-score change versus Patel exponential model
title_full Neonatal growth velocity of preterm infants: The weight Z-score change versus Patel exponential model
title_fullStr Neonatal growth velocity of preterm infants: The weight Z-score change versus Patel exponential model
title_full_unstemmed Neonatal growth velocity of preterm infants: The weight Z-score change versus Patel exponential model
title_short Neonatal growth velocity of preterm infants: The weight Z-score change versus Patel exponential model
title_sort neonatal growth velocity of preterm infants: the weight z-score change versus patel exponential model
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6599123/
https://www.ncbi.nlm.nih.gov/pubmed/31251763
http://dx.doi.org/10.1371/journal.pone.0218746
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