Preterm newborn's postnatal growth patterns: how to evaluate them
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Jornal de Pediatria (Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0021-75572019000300006 |
Resumo: | Abstract Objectives: There are several factors that influence the postnatal growth of preterm infants. It is crucial to define how to evaluate the growth rate of each preterm child and its individual trajectory, the type of growth curve, either with parameters of prescriptive curves for healthy preterm infants with no morbidities or, in the case of preterm infants and their "bundle of vulnerabilities", growth curves that may represent how they are actually growing, with the aim of directing appropriate nutritional care to each gestational age range. Data sources: The main studies with growth curves for growth monitoring and the appropriate nutritional adjustments that prioritized the individual trajectory of postnatal growth rate were reviewed. PubMed and Google Scholar were searched. Data synthesis: The use of longitudinal neonatal data with different gestational ages and considering high and medium-risk pregnancies will probably be essential to evaluate the optimal growth pattern. Conclusions: Prioritizing and knowing the individual growth trajectory of each preterm child is an alternative for preterm infants with less than 33 weeks of gestational age. For larger preterm infants born at gestational age >33 weeks, the Intergrowth 21st curves are adequate. |
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Preterm newborn's postnatal growth patterns: how to evaluate themPrematurityGrowthAnthropometric chartersNewbornAbstract Objectives: There are several factors that influence the postnatal growth of preterm infants. It is crucial to define how to evaluate the growth rate of each preterm child and its individual trajectory, the type of growth curve, either with parameters of prescriptive curves for healthy preterm infants with no morbidities or, in the case of preterm infants and their "bundle of vulnerabilities", growth curves that may represent how they are actually growing, with the aim of directing appropriate nutritional care to each gestational age range. Data sources: The main studies with growth curves for growth monitoring and the appropriate nutritional adjustments that prioritized the individual trajectory of postnatal growth rate were reviewed. PubMed and Google Scholar were searched. Data synthesis: The use of longitudinal neonatal data with different gestational ages and considering high and medium-risk pregnancies will probably be essential to evaluate the optimal growth pattern. Conclusions: Prioritizing and knowing the individual growth trajectory of each preterm child is an alternative for preterm infants with less than 33 weeks of gestational age. For larger preterm infants born at gestational age >33 weeks, the Intergrowth 21st curves are adequate.Sociedade Brasileira de Pediatria2019-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0021-75572019000300006Jornal de Pediatria v.95 suppl.1 2019reponame:Jornal de Pediatria (Online)instname:Sociedade Brasileira de Pediatria (SBP)instacron:SBPE10.1016/j.jped.2018.10.006info:eu-repo/semantics/openAccessSilveira,Rita C.Procianoy,Renato Soibelmanneng2019-04-15T00:00:00Zoai:scielo:S0021-75572019000300006Revistahttp://www.jped.com.br/https://old.scielo.br/oai/scielo-oai.php||jped@jped.com.br1678-47820021-7557opendoar:2019-04-15T00:00Jornal de Pediatria (Online) - Sociedade Brasileira de Pediatria (SBP)false |
dc.title.none.fl_str_mv |
Preterm newborn's postnatal growth patterns: how to evaluate them |
title |
Preterm newborn's postnatal growth patterns: how to evaluate them |
spellingShingle |
Preterm newborn's postnatal growth patterns: how to evaluate them Silveira,Rita C. Prematurity Growth Anthropometric charters Newborn |
title_short |
Preterm newborn's postnatal growth patterns: how to evaluate them |
title_full |
Preterm newborn's postnatal growth patterns: how to evaluate them |
title_fullStr |
Preterm newborn's postnatal growth patterns: how to evaluate them |
title_full_unstemmed |
Preterm newborn's postnatal growth patterns: how to evaluate them |
title_sort |
Preterm newborn's postnatal growth patterns: how to evaluate them |
author |
Silveira,Rita C. |
author_facet |
Silveira,Rita C. Procianoy,Renato Soibelmann |
author_role |
author |
author2 |
Procianoy,Renato Soibelmann |
author2_role |
author |
dc.contributor.author.fl_str_mv |
Silveira,Rita C. Procianoy,Renato Soibelmann |
dc.subject.por.fl_str_mv |
Prematurity Growth Anthropometric charters Newborn |
topic |
Prematurity Growth Anthropometric charters Newborn |
description |
Abstract Objectives: There are several factors that influence the postnatal growth of preterm infants. It is crucial to define how to evaluate the growth rate of each preterm child and its individual trajectory, the type of growth curve, either with parameters of prescriptive curves for healthy preterm infants with no morbidities or, in the case of preterm infants and their "bundle of vulnerabilities", growth curves that may represent how they are actually growing, with the aim of directing appropriate nutritional care to each gestational age range. Data sources: The main studies with growth curves for growth monitoring and the appropriate nutritional adjustments that prioritized the individual trajectory of postnatal growth rate were reviewed. PubMed and Google Scholar were searched. Data synthesis: The use of longitudinal neonatal data with different gestational ages and considering high and medium-risk pregnancies will probably be essential to evaluate the optimal growth pattern. Conclusions: Prioritizing and knowing the individual growth trajectory of each preterm child is an alternative for preterm infants with less than 33 weeks of gestational age. For larger preterm infants born at gestational age >33 weeks, the Intergrowth 21st curves are adequate. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-01-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0021-75572019000300006 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0021-75572019000300006 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1016/j.jped.2018.10.006 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Sociedade Brasileira de Pediatria |
publisher.none.fl_str_mv |
Sociedade Brasileira de Pediatria |
dc.source.none.fl_str_mv |
Jornal de Pediatria v.95 suppl.1 2019 reponame:Jornal de Pediatria (Online) instname:Sociedade Brasileira de Pediatria (SBP) instacron:SBPE |
instname_str |
Sociedade Brasileira de Pediatria (SBP) |
instacron_str |
SBPE |
institution |
SBPE |
reponame_str |
Jornal de Pediatria (Online) |
collection |
Jornal de Pediatria (Online) |
repository.name.fl_str_mv |
Jornal de Pediatria (Online) - Sociedade Brasileira de Pediatria (SBP) |
repository.mail.fl_str_mv |
||jped@jped.com.br |
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1752122321818091520 |