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

Laure Simon1,2, Matthieu Hanf3, Anne Frondas-Chauty1,2

  • 1Department of Neonatal Medicine, Nantes University Hospital, Nantes, France.

Plos One
|June 29, 2019
PubMed

Insights

Two methods for assessing preterm infant growth velocity show substantial disagreement in over a third of cases. The weight z-score (ZS) method may be more suitable for diverse preterm infant populations.

Area of Science:

  • Neonatalogy
  • Pediatric Growth Assessment
  • Biostatistics

Background:

  • Assessing growth velocity in preterm infants during neonatal hospitalization is crucial.
  • Existing methods, including the Patel exponential model (EM) and Fenton growth curves (weight z-score, ZS), have not been directly compared.
  • Understanding agreement between these methods is essential for accurate growth monitoring.

Purpose of the Study:

  • To compare the agreement between two growth velocity assessment methods: EM (g/kg/d) and ZS (Fenton curves).
  • To identify factors influencing the agreement between these growth velocity assessment methods.

Main Methods:

  • Included 3954 preterm infants born before 33 weeks gestation.
  • Calculated growth velocity using both EM and ZS methods.
  • Employed linear regression to predict EM velocity from ZS and assessed agreement using predefined difference thresholds (-2 to +2 g/kg/day for fair agreement, >±4 g/kg/day for poor agreement).

Main Results:

  • Fair agreement was observed in 62.5% of infants, poor agreement in 32.3%, and disagreement in 5.2%.
  • Birth weight and gestational age accounted for 31% and 25% of the variance in the differences between the two methods, respectively.
  • Substantial disagreement occurred in over one-third of the infants studied.

Conclusions:

  • Significant disagreement exists between EM and ZS methods for assessing preterm infant growth velocity in a substantial proportion of infants.
  • The ZS method, which incorporates infant gestational age and gender, may offer a more suitable approach for analyzing growth in preterm infants across a wide range of gestational ages.
Abstract

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