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The impact of growth curves changes in assessing premature infant growth

OBJECTIVE: Assess the impact of using the recently published WHO growth standard, based on healthy, breastfed infants in multiple countries that excluded prematurely-born infants, versus the Infant Health Development Program (IHDP) growth reference constructed from premature infants, on the interpre...

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Autores principales: Rabner, Marc, Meurling, Julia, Ahlberg, Corinne, Lorch, Scott A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3874070/
https://www.ncbi.nlm.nih.gov/pubmed/24051576
http://dx.doi.org/10.1038/jp.2013.114
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author Rabner, Marc
Meurling, Julia
Ahlberg, Corinne
Lorch, Scott A.
author_facet Rabner, Marc
Meurling, Julia
Ahlberg, Corinne
Lorch, Scott A.
author_sort Rabner, Marc
collection PubMed
description OBJECTIVE: Assess the impact of using the recently published WHO growth standard, based on healthy, breastfed infants in multiple countries that excluded prematurely-born infants, versus the Infant Health Development Program (IHDP) growth reference constructed from premature infants, on the interpretation of the growth of premature infants after hospital discharge. STUDY DESIGN: A retrospective cohort was constructed of infants born at gestational age ≤ 35 weeks who initially presented for care at one of 32 outpatient sites between 2006 and 2008 (N=2297). Kappa statistics measured overall agreement and agreement in ever classifying infants < 5(th) percentile or ≥ 95(th) percentile for age between the WHO and IHDP. Logistic regression models identified factors associated with growth curve disagreement in classifying infants at the extremes of growth. RESULTS: The WHO and IHDP growth curves showed moderate agreement for all measurements (κ 0.40-0.52). When the curves disagreed on whether an infant was < 5(th) percentile for weight (8.3% of cohort) or length (13.6% of cohort), the WHO curve classified the infant in this category over 90% of the time. For head circumference, the IHDP curve classified more infants below the 5th percentile. Gestational age < 30 weeks was associated with growth curve disagreement for weight and length < 5th percentile. CONCLUSION: Choice of growth curve affects the assessment of growth and the classification of underweight status. Longitudinal studies are needed to determine which assessment identifies the greatest number of premature infants at risk for long-term growth issues.
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spelling pubmed-38740702014-07-01 The impact of growth curves changes in assessing premature infant growth Rabner, Marc Meurling, Julia Ahlberg, Corinne Lorch, Scott A. J Perinatol Article OBJECTIVE: Assess the impact of using the recently published WHO growth standard, based on healthy, breastfed infants in multiple countries that excluded prematurely-born infants, versus the Infant Health Development Program (IHDP) growth reference constructed from premature infants, on the interpretation of the growth of premature infants after hospital discharge. STUDY DESIGN: A retrospective cohort was constructed of infants born at gestational age ≤ 35 weeks who initially presented for care at one of 32 outpatient sites between 2006 and 2008 (N=2297). Kappa statistics measured overall agreement and agreement in ever classifying infants < 5(th) percentile or ≥ 95(th) percentile for age between the WHO and IHDP. Logistic regression models identified factors associated with growth curve disagreement in classifying infants at the extremes of growth. RESULTS: The WHO and IHDP growth curves showed moderate agreement for all measurements (κ 0.40-0.52). When the curves disagreed on whether an infant was < 5(th) percentile for weight (8.3% of cohort) or length (13.6% of cohort), the WHO curve classified the infant in this category over 90% of the time. For head circumference, the IHDP curve classified more infants below the 5th percentile. Gestational age < 30 weeks was associated with growth curve disagreement for weight and length < 5th percentile. CONCLUSION: Choice of growth curve affects the assessment of growth and the classification of underweight status. Longitudinal studies are needed to determine which assessment identifies the greatest number of premature infants at risk for long-term growth issues. 2013-09-19 2014-01 /pmc/articles/PMC3874070/ /pubmed/24051576 http://dx.doi.org/10.1038/jp.2013.114 Text en Users may view, print, copy, download and text and data- mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use: http://www.nature.com/authors/editorial_policies/license.html#terms
spellingShingle Article
Rabner, Marc
Meurling, Julia
Ahlberg, Corinne
Lorch, Scott A.
The impact of growth curves changes in assessing premature infant growth
title The impact of growth curves changes in assessing premature infant growth
title_full The impact of growth curves changes in assessing premature infant growth
title_fullStr The impact of growth curves changes in assessing premature infant growth
title_full_unstemmed The impact of growth curves changes in assessing premature infant growth
title_short The impact of growth curves changes in assessing premature infant growth
title_sort impact of growth curves changes in assessing premature infant growth
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3874070/
https://www.ncbi.nlm.nih.gov/pubmed/24051576
http://dx.doi.org/10.1038/jp.2013.114
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