Nutritional assessment in preterm infants: a practical approach in the NICU
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10400.21/13049 |
Resumo: | A practical approach for nutritional assessment in preterm infants under intensive care, based on anthropometric measurements and commonly used biochemical markers, is suggested. The choice of anthropometric charts depends on the purpose: Fenton 2013 charts to assess intrauterine growth, an online growth calculator to monitor intra-hospital weight gain, and Intergrowth-21st standards to monitor growth after discharge. Body weight, though largely used, does not inform on body compartment sizes. Mid-upper arm circumference estimates body adiposity and is easy to measure. Body length reflects skeletal growth and fat-free mass, provided it is accurately measured. Head circumference indicates brain growth. Skinfolds estimate reasonably body fat. Weight-to-length ratio, body mass index, and ponderal index can assess body proportionality at birth. These and other derived indices, such as the mid-upper arm circumference to head circumference ratio, could be proxies of body composition but need validation. Low blood urea nitrogen may indicate insufficient protein intake. Prealbumin and retinol binding protein are good markers of current protein status, but they may be affected by non-nutritional factors. The combination of a high serum alkaline phosphatase level and a low serum phosphate level is the best biochemical marker for the early detection of metabolic bone disease. |
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Nutritional assessment in preterm infants: a practical approach in the NICUAge factorsBiomarkersBody compositionChild developmentGestational ageHumansInfant, NewbornInfant, PrematurePredictive value of testsReproducibility of resultsAnthropometryBirth weightInfant nutritional physiological phenomenaIntensive care units, NeonatalNutrition assessmentNutritional statusA practical approach for nutritional assessment in preterm infants under intensive care, based on anthropometric measurements and commonly used biochemical markers, is suggested. The choice of anthropometric charts depends on the purpose: Fenton 2013 charts to assess intrauterine growth, an online growth calculator to monitor intra-hospital weight gain, and Intergrowth-21st standards to monitor growth after discharge. Body weight, though largely used, does not inform on body compartment sizes. Mid-upper arm circumference estimates body adiposity and is easy to measure. Body length reflects skeletal growth and fat-free mass, provided it is accurately measured. Head circumference indicates brain growth. Skinfolds estimate reasonably body fat. Weight-to-length ratio, body mass index, and ponderal index can assess body proportionality at birth. These and other derived indices, such as the mid-upper arm circumference to head circumference ratio, could be proxies of body composition but need validation. Low blood urea nitrogen may indicate insufficient protein intake. Prealbumin and retinol binding protein are good markers of current protein status, but they may be affected by non-nutritional factors. The combination of a high serum alkaline phosphatase level and a low serum phosphate level is the best biochemical marker for the early detection of metabolic bone disease.RCIPLPereira-da-Silva, LuísVirella, DanielFusch, Christoph2021-03-06T17:12:06Z2019-082019-08-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.21/13049engPereira-da-Silva L, Virella D, Fusch C. Nutritional assessment in preterm infants: a practical approach in the NICU. Nutrients. 2019;11(9):1999.10.3390/nu11091999info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-08-03T10:07:06Zoai:repositorio.ipl.pt:10400.21/13049Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T20:21:03.976896Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Nutritional assessment in preterm infants: a practical approach in the NICU |
title |
Nutritional assessment in preterm infants: a practical approach in the NICU |
spellingShingle |
Nutritional assessment in preterm infants: a practical approach in the NICU Pereira-da-Silva, Luís Age factors Biomarkers Body composition Child development Gestational age Humans Infant, Newborn Infant, Premature Predictive value of tests Reproducibility of results Anthropometry Birth weight Infant nutritional physiological phenomena Intensive care units, Neonatal Nutrition assessment Nutritional status |
title_short |
Nutritional assessment in preterm infants: a practical approach in the NICU |
title_full |
Nutritional assessment in preterm infants: a practical approach in the NICU |
title_fullStr |
Nutritional assessment in preterm infants: a practical approach in the NICU |
title_full_unstemmed |
Nutritional assessment in preterm infants: a practical approach in the NICU |
title_sort |
Nutritional assessment in preterm infants: a practical approach in the NICU |
author |
Pereira-da-Silva, Luís |
author_facet |
Pereira-da-Silva, Luís Virella, Daniel Fusch, Christoph |
author_role |
author |
author2 |
Virella, Daniel Fusch, Christoph |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
RCIPL |
dc.contributor.author.fl_str_mv |
Pereira-da-Silva, Luís Virella, Daniel Fusch, Christoph |
dc.subject.por.fl_str_mv |
Age factors Biomarkers Body composition Child development Gestational age Humans Infant, Newborn Infant, Premature Predictive value of tests Reproducibility of results Anthropometry Birth weight Infant nutritional physiological phenomena Intensive care units, Neonatal Nutrition assessment Nutritional status |
topic |
Age factors Biomarkers Body composition Child development Gestational age Humans Infant, Newborn Infant, Premature Predictive value of tests Reproducibility of results Anthropometry Birth weight Infant nutritional physiological phenomena Intensive care units, Neonatal Nutrition assessment Nutritional status |
description |
A practical approach for nutritional assessment in preterm infants under intensive care, based on anthropometric measurements and commonly used biochemical markers, is suggested. The choice of anthropometric charts depends on the purpose: Fenton 2013 charts to assess intrauterine growth, an online growth calculator to monitor intra-hospital weight gain, and Intergrowth-21st standards to monitor growth after discharge. Body weight, though largely used, does not inform on body compartment sizes. Mid-upper arm circumference estimates body adiposity and is easy to measure. Body length reflects skeletal growth and fat-free mass, provided it is accurately measured. Head circumference indicates brain growth. Skinfolds estimate reasonably body fat. Weight-to-length ratio, body mass index, and ponderal index can assess body proportionality at birth. These and other derived indices, such as the mid-upper arm circumference to head circumference ratio, could be proxies of body composition but need validation. Low blood urea nitrogen may indicate insufficient protein intake. Prealbumin and retinol binding protein are good markers of current protein status, but they may be affected by non-nutritional factors. The combination of a high serum alkaline phosphatase level and a low serum phosphate level is the best biochemical marker for the early detection of metabolic bone disease. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-08 2019-08-01T00:00:00Z 2021-03-06T17:12:06Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10400.21/13049 |
url |
http://hdl.handle.net/10400.21/13049 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Pereira-da-Silva L, Virella D, Fusch C. Nutritional assessment in preterm infants: a practical approach in the NICU. Nutrients. 2019;11(9):1999. 10.3390/nu11091999 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
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1799133481185312768 |