Nutritional Assessment in Preterm Infants: A Practical Approach in the NICU

Detalhes bibliográficos
Autor(a) principal: Pereira-da-Silva, L
Data de Publicação: 2019
Outros Autores: Virella, D, Fusch, C
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.17/3703
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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spelling 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 StatusHDE UCI NEOA 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.MDPI - Multidisciplinary Digital Publishing InstituteRepositório do Centro Hospitalar Universitário de Lisboa Central, EPEPereira-da-Silva, LVirella, DFusch, C2021-05-27T07:30:39Z2019-08-232019-08-23T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.17/3703engNutrients . 2019 Aug 23;11(9):199910.3390/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:RCAAP2023-03-10T09:44:00Zoai:repositorio.chlc.min-saude.pt:10400.17/3703Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T17:21:00.775933Repositório 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, L
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
HDE UCI NEO
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, L
author_facet Pereira-da-Silva, L
Virella, D
Fusch, C
author_role author
author2 Virella, D
Fusch, C
author2_role author
author
dc.contributor.none.fl_str_mv Repositório do Centro Hospitalar Universitário de Lisboa Central, EPE
dc.contributor.author.fl_str_mv Pereira-da-Silva, L
Virella, D
Fusch, C
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
HDE UCI NEO
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
HDE UCI NEO
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 2019-08-23
2019-08-23T00:00:00Z
2021-05-27T07:30:39Z
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/10400.17/3703
url http://hdl.handle.net/10400.17/3703
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Nutrients . 2019 Aug 23;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.publisher.none.fl_str_mv MDPI - Multidisciplinary Digital Publishing Institute
publisher.none.fl_str_mv MDPI - Multidisciplinary Digital Publishing Institute
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
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution 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
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