Growth phenotypes of very low birth weight infants for prediction of neonatal outcomes from a Brazilian cohort: comparison with INTERGROWTH

Detalhes bibliográficos
Autor(a) principal: Cardoso, Viviane Cunha
Data de Publicação: 2023
Outros Autores: Grandi, Carlos, Silveira, Rita C., Duarte, José Luiz Bandeira, Viana, Maria Cândida Ferrarez Bouzada, Ferreira, Daniela Marques de Lima Mota, Alves, José Mariano Sales, Embrizi, Laís Furlan, Gimenes, Carolina Boschi, de Mello e Silva, Nathalia Moura, Melo, Fernanda Pegoraro de Godoi, Venzon, Paulyne Stadler, Gomez, Dafne Barcala, Vale, Marynéa Silva do [UNESP], Bentlin, Maria Regina, Barros, Marina Carvalho de Moraes, Cardoso, Laura Emilia Monteiro Bigélli, Diniz, Edna Maria de Albuquerque, Luz, Jorge Hecker, Marba, Sérgio Tadeu Martins, Almeida, João Henrique Carvalho Leme de, Aragon, Davi Casale, Carmona, Fabio
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1016/j.jped.2022.07.007
http://hdl.handle.net/11449/248981
Resumo: Objective: To assess the predictive value of selected growth phenotypes for neonatal morbidity and mortality in preterm infants < 30 weeks and to compare them with INTERGROWTH-21st (IG21). Method: Retrospective analysis of data from the Brazilian Neonatal Research Network (BNRN) database for very low birth weight (VLBW) at 20 public tertiary-care university hospitals. Outcome: the composite neonatal morbidity and mortality (CNMM) consisted of in-hospital death, oxygen use at 36 weeks, intraventricular hemorrhage grade 3 or 4, and Bell stage 2 or 3 necrotizing enterocolitis. Selected growth phenotypes: small-for-gestational-age (SGA) defined as being < 3rd (SGA3) or 10th (SGA10) percentiles of BW, and large-for-gestational-age (LGA) as being > 97th percentile of BW. Stunting as being < 3rd percentile of the length and wasting as being < 3rd percentile of BMI. Single and multiple log-binomial regression models were fitted to estimate the relative risks of CNMM, comparing them to IG21. Results: 4,072 infants were included. The adjusted relative risks of CNMM associated with selected growth phenotypes were (BNRN/IG21): 1.45 (0.92–2.31)/1.60 (1.27–2.02) for SGA; 0.90 (0.55–1.47)/1.05 (0.55–1.99) for LGA; 1.65 (1.08–2.51)/1.58 (1.28–1.96) for stunting; and 1.48 (1.02–2.17) for wasting. Agreement between the two references was variable. The growth phenotypes had good specificity (>95%) and positive predictive value (70-90%), with poor sensitivity and low negative predictive value. Conclusion: The BNRN phenotypes at birth differed markedly from the IG21 standard and showed poor accuracy in predicting adverse neonatal outcomes.
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spelling Growth phenotypes of very low birth weight infants for prediction of neonatal outcomes from a Brazilian cohort: comparison with INTERGROWTHNetworkOutcomePhenotypePredictive valuesPremature birthVery low birth weightObjective: To assess the predictive value of selected growth phenotypes for neonatal morbidity and mortality in preterm infants < 30 weeks and to compare them with INTERGROWTH-21st (IG21). Method: Retrospective analysis of data from the Brazilian Neonatal Research Network (BNRN) database for very low birth weight (VLBW) at 20 public tertiary-care university hospitals. Outcome: the composite neonatal morbidity and mortality (CNMM) consisted of in-hospital death, oxygen use at 36 weeks, intraventricular hemorrhage grade 3 or 4, and Bell stage 2 or 3 necrotizing enterocolitis. Selected growth phenotypes: small-for-gestational-age (SGA) defined as being < 3rd (SGA3) or 10th (SGA10) percentiles of BW, and large-for-gestational-age (LGA) as being > 97th percentile of BW. Stunting as being < 3rd percentile of the length and wasting as being < 3rd percentile of BMI. Single and multiple log-binomial regression models were fitted to estimate the relative risks of CNMM, comparing them to IG21. Results: 4,072 infants were included. The adjusted relative risks of CNMM associated with selected growth phenotypes were (BNRN/IG21): 1.45 (0.92–2.31)/1.60 (1.27–2.02) for SGA; 0.90 (0.55–1.47)/1.05 (0.55–1.99) for LGA; 1.65 (1.08–2.51)/1.58 (1.28–1.96) for stunting; and 1.48 (1.02–2.17) for wasting. Agreement between the two references was variable. The growth phenotypes had good specificity (>95%) and positive predictive value (70-90%), with poor sensitivity and low negative predictive value. Conclusion: The BNRN phenotypes at birth differed markedly from the IG21 standard and showed poor accuracy in predicting adverse neonatal outcomes.Universidade de São Paulo Faculdade de Medicina de Ribeirão Preto Departamento de Puericultura e Pediatria, SPSociedad Argentina de Pediatria Subcomissión de InvestigaciónUniversidade Federal do Rio Grande do Sul Hospital de Clínicas de Porto Alegre, RSUniversidade do Estado do Rio de Janeiro Hospital Universitário Pedro Ernesto, RJUniversidade Federal de Minas Gerais Hospital das Clínicas, MGUniversidade Federal de Uberlândia Faculdade de Medicina Departamento de Pediatria, MGFaculdade de Ciências Médicas de Minas Gerais Maternidade Escola Hilda Brandão, MGHospital Estadual Sumaré, SPHospital Geral de Pirajussara, SPHospital Estadual de Diadema, SPUniversidade Estadual de Londrina, PRUniversidade Federal do Paraná Departamento de Pediatria, PRInstituto de Medicina Integral Professor Fernando Figueira, PEUniversidade Federal do Maranhão Hospital Universitário, MAUniversidade Estadual Paulista Faculdade de Medicina de Botucatu, SPUniversidade Federal de São Paulo Escola Paulista de Medicina, SPUniversidade de São Paulo Faculdade de Medicina Hospital das Clínicas, SPUniversidade de São Paulo Hospital Universitário, SPPontifícia Universidade Católica do Rio Grande do Sul Hospital São Lucas, RSUniversidade Estadual de Campinas Faculdade de Ciências Médicas, SPFundação Oswaldo Cruz Instituto Nacional de Saúde da Mulher da Criança e do Adolescente Fernandes Figueira, RJUniversidade Estadual Paulista Faculdade de Medicina de Botucatu, SPUniversidade de São Paulo (USP)Subcomissión de InvestigaciónHospital de Clínicas de Porto AlegreUniversidade do Estado do Rio de Janeiro (UERJ)Universidade Federal de Minas Gerais (UFMG)Universidade Federal de Uberlândia (UFU)Maternidade Escola Hilda BrandãoHospital Estadual SumaréHospital Geral de PirajussaraHospital Estadual de DiademaUniversidade Estadual de Londrina (UEL)Universidade Federal do Paraná (UFPR)Instituto de Medicina Integral Professor Fernando FigueiraHospital UniversitárioUniversidade Estadual Paulista (UNESP)Universidade Federal de São Paulo (UNIFESP)Hospital São LucasUniversidade Estadual de Campinas (UNICAMP)Instituto Nacional de Saúde da Mulher da Criança e do Adolescente Fernandes FigueiraCardoso, Viviane CunhaGrandi, CarlosSilveira, Rita C.Duarte, José Luiz BandeiraViana, Maria Cândida Ferrarez BouzadaFerreira, Daniela Marques de Lima MotaAlves, José Mariano SalesEmbrizi, Laís FurlanGimenes, Carolina Boschide Mello e Silva, Nathalia MouraMelo, Fernanda Pegoraro de GodoiVenzon, Paulyne StadlerGomez, Dafne BarcalaVale, Marynéa Silva do [UNESP]Bentlin, Maria ReginaBarros, Marina Carvalho de MoraesCardoso, Laura Emilia Monteiro BigélliDiniz, Edna Maria de AlbuquerqueLuz, Jorge HeckerMarba, Sérgio Tadeu MartinsAlmeida, João Henrique Carvalho Leme deAragon, Davi CasaleCarmona, Fabio2023-07-29T13:59:07Z2023-07-29T13:59:07Z2023-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article86-93http://dx.doi.org/10.1016/j.jped.2022.07.007Jornal de Pediatria, v. 99, n. 1, p. 86-93, 2023.1678-47820021-7557http://hdl.handle.net/11449/24898110.1016/j.jped.2022.07.0072-s2.0-85138826905Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengJornal de Pediatriainfo:eu-repo/semantics/openAccess2024-09-30T17:35:16Zoai:repositorio.unesp.br:11449/248981Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestrepositoriounesp@unesp.bropendoar:29462024-09-30T17:35:16Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Growth phenotypes of very low birth weight infants for prediction of neonatal outcomes from a Brazilian cohort: comparison with INTERGROWTH
title Growth phenotypes of very low birth weight infants for prediction of neonatal outcomes from a Brazilian cohort: comparison with INTERGROWTH
spellingShingle Growth phenotypes of very low birth weight infants for prediction of neonatal outcomes from a Brazilian cohort: comparison with INTERGROWTH
Cardoso, Viviane Cunha
Network
Outcome
Phenotype
Predictive values
Premature birth
Very low birth weight
title_short Growth phenotypes of very low birth weight infants for prediction of neonatal outcomes from a Brazilian cohort: comparison with INTERGROWTH
title_full Growth phenotypes of very low birth weight infants for prediction of neonatal outcomes from a Brazilian cohort: comparison with INTERGROWTH
title_fullStr Growth phenotypes of very low birth weight infants for prediction of neonatal outcomes from a Brazilian cohort: comparison with INTERGROWTH
title_full_unstemmed Growth phenotypes of very low birth weight infants for prediction of neonatal outcomes from a Brazilian cohort: comparison with INTERGROWTH
title_sort Growth phenotypes of very low birth weight infants for prediction of neonatal outcomes from a Brazilian cohort: comparison with INTERGROWTH
author Cardoso, Viviane Cunha
author_facet Cardoso, Viviane Cunha
Grandi, Carlos
Silveira, Rita C.
Duarte, José Luiz Bandeira
Viana, Maria Cândida Ferrarez Bouzada
Ferreira, Daniela Marques de Lima Mota
Alves, José Mariano Sales
Embrizi, Laís Furlan
Gimenes, Carolina Boschi
de Mello e Silva, Nathalia Moura
Melo, Fernanda Pegoraro de Godoi
Venzon, Paulyne Stadler
Gomez, Dafne Barcala
Vale, Marynéa Silva do [UNESP]
Bentlin, Maria Regina
Barros, Marina Carvalho de Moraes
Cardoso, Laura Emilia Monteiro Bigélli
Diniz, Edna Maria de Albuquerque
Luz, Jorge Hecker
Marba, Sérgio Tadeu Martins
Almeida, João Henrique Carvalho Leme de
Aragon, Davi Casale
Carmona, Fabio
author_role author
author2 Grandi, Carlos
Silveira, Rita C.
Duarte, José Luiz Bandeira
Viana, Maria Cândida Ferrarez Bouzada
Ferreira, Daniela Marques de Lima Mota
Alves, José Mariano Sales
Embrizi, Laís Furlan
Gimenes, Carolina Boschi
de Mello e Silva, Nathalia Moura
Melo, Fernanda Pegoraro de Godoi
Venzon, Paulyne Stadler
Gomez, Dafne Barcala
Vale, Marynéa Silva do [UNESP]
Bentlin, Maria Regina
Barros, Marina Carvalho de Moraes
Cardoso, Laura Emilia Monteiro Bigélli
Diniz, Edna Maria de Albuquerque
Luz, Jorge Hecker
Marba, Sérgio Tadeu Martins
Almeida, João Henrique Carvalho Leme de
Aragon, Davi Casale
Carmona, Fabio
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Universidade de São Paulo (USP)
Subcomissión de Investigación
Hospital de Clínicas de Porto Alegre
Universidade do Estado do Rio de Janeiro (UERJ)
Universidade Federal de Minas Gerais (UFMG)
Universidade Federal de Uberlândia (UFU)
Maternidade Escola Hilda Brandão
Hospital Estadual Sumaré
Hospital Geral de Pirajussara
Hospital Estadual de Diadema
Universidade Estadual de Londrina (UEL)
Universidade Federal do Paraná (UFPR)
Instituto de Medicina Integral Professor Fernando Figueira
Hospital Universitário
Universidade Estadual Paulista (UNESP)
Universidade Federal de São Paulo (UNIFESP)
Hospital São Lucas
Universidade Estadual de Campinas (UNICAMP)
Instituto Nacional de Saúde da Mulher da Criança e do Adolescente Fernandes Figueira
dc.contributor.author.fl_str_mv Cardoso, Viviane Cunha
Grandi, Carlos
Silveira, Rita C.
Duarte, José Luiz Bandeira
Viana, Maria Cândida Ferrarez Bouzada
Ferreira, Daniela Marques de Lima Mota
Alves, José Mariano Sales
Embrizi, Laís Furlan
Gimenes, Carolina Boschi
de Mello e Silva, Nathalia Moura
Melo, Fernanda Pegoraro de Godoi
Venzon, Paulyne Stadler
Gomez, Dafne Barcala
Vale, Marynéa Silva do [UNESP]
Bentlin, Maria Regina
Barros, Marina Carvalho de Moraes
Cardoso, Laura Emilia Monteiro Bigélli
Diniz, Edna Maria de Albuquerque
Luz, Jorge Hecker
Marba, Sérgio Tadeu Martins
Almeida, João Henrique Carvalho Leme de
Aragon, Davi Casale
Carmona, Fabio
dc.subject.por.fl_str_mv Network
Outcome
Phenotype
Predictive values
Premature birth
Very low birth weight
topic Network
Outcome
Phenotype
Predictive values
Premature birth
Very low birth weight
description Objective: To assess the predictive value of selected growth phenotypes for neonatal morbidity and mortality in preterm infants < 30 weeks and to compare them with INTERGROWTH-21st (IG21). Method: Retrospective analysis of data from the Brazilian Neonatal Research Network (BNRN) database for very low birth weight (VLBW) at 20 public tertiary-care university hospitals. Outcome: the composite neonatal morbidity and mortality (CNMM) consisted of in-hospital death, oxygen use at 36 weeks, intraventricular hemorrhage grade 3 or 4, and Bell stage 2 or 3 necrotizing enterocolitis. Selected growth phenotypes: small-for-gestational-age (SGA) defined as being < 3rd (SGA3) or 10th (SGA10) percentiles of BW, and large-for-gestational-age (LGA) as being > 97th percentile of BW. Stunting as being < 3rd percentile of the length and wasting as being < 3rd percentile of BMI. Single and multiple log-binomial regression models were fitted to estimate the relative risks of CNMM, comparing them to IG21. Results: 4,072 infants were included. The adjusted relative risks of CNMM associated with selected growth phenotypes were (BNRN/IG21): 1.45 (0.92–2.31)/1.60 (1.27–2.02) for SGA; 0.90 (0.55–1.47)/1.05 (0.55–1.99) for LGA; 1.65 (1.08–2.51)/1.58 (1.28–1.96) for stunting; and 1.48 (1.02–2.17) for wasting. Agreement between the two references was variable. The growth phenotypes had good specificity (>95%) and positive predictive value (70-90%), with poor sensitivity and low negative predictive value. Conclusion: The BNRN phenotypes at birth differed markedly from the IG21 standard and showed poor accuracy in predicting adverse neonatal outcomes.
publishDate 2023
dc.date.none.fl_str_mv 2023-07-29T13:59:07Z
2023-07-29T13:59:07Z
2023-01-01
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://dx.doi.org/10.1016/j.jped.2022.07.007
Jornal de Pediatria, v. 99, n. 1, p. 86-93, 2023.
1678-4782
0021-7557
http://hdl.handle.net/11449/248981
10.1016/j.jped.2022.07.007
2-s2.0-85138826905
url http://dx.doi.org/10.1016/j.jped.2022.07.007
http://hdl.handle.net/11449/248981
identifier_str_mv Jornal de Pediatria, v. 99, n. 1, p. 86-93, 2023.
1678-4782
0021-7557
10.1016/j.jped.2022.07.007
2-s2.0-85138826905
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Jornal de Pediatria
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 86-93
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv repositoriounesp@unesp.br
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