Growth phenotypes of very low birth weight infants for prediction of neonatal outcomes from a Brazilian cohort: comparison with INTERGROWTH
Autor(a) principal: | |
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Data de Publicação: | 2023 |
Outros Autores: | , , , , , , , , , , , , , , , , , , , , , |
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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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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1813546431131156480 |