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

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...

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Main Authors: Viviane Cunha Cardoso, Carlos Grandi, Rita C. Silveira, José Luiz Bandeira Duarte, Maria Cândida Ferrarez Bouzada Viana, Daniela Marques de Lima Mota Ferreira, José Mariano Sales Alves, Junior, Laís Furlan Embrizi, Carolina Boschi Gimenes, Nathalia Moura de Mello e Silva, Fernanda Pegoraro de Godoi Melo, Paulyne Stadler Venzon, Dafne Barcala Gomez, Marynéa Silva do Vale, Maria Regina Bentlin, Marina Carvalho de Moraes Barros, Laura Emilia Monteiro Bigélli Cardoso, Edna Maria de Albuquerque Diniz, Jorge Hecker Luz, Sérgio Tadeu Martins Marba, João Henrique Carvalho Leme de Almeida, Davi Casale Aragon, Fabio Carmona
Format: Article
Language:English
Published: Elsevier 2023-01-01
Series:Jornal de Pediatria
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S002175572200095X
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author Viviane Cunha Cardoso
Carlos Grandi
Rita C. Silveira
José Luiz Bandeira Duarte
Maria Cândida Ferrarez Bouzada Viana
Daniela Marques de Lima Mota Ferreira
José Mariano Sales Alves, Junior
Laís Furlan Embrizi
Carolina Boschi Gimenes
Nathalia Moura de Mello e Silva
Fernanda Pegoraro de Godoi Melo
Paulyne Stadler Venzon
Dafne Barcala Gomez
Marynéa Silva do Vale
Maria Regina Bentlin
Marina Carvalho de Moraes Barros
Laura Emilia Monteiro Bigélli Cardoso
Edna Maria de Albuquerque Diniz
Jorge Hecker Luz
Sérgio Tadeu Martins Marba
João Henrique Carvalho Leme de Almeida
Davi Casale Aragon
Fabio Carmona
author_facet Viviane Cunha Cardoso
Carlos Grandi
Rita C. Silveira
José Luiz Bandeira Duarte
Maria Cândida Ferrarez Bouzada Viana
Daniela Marques de Lima Mota Ferreira
José Mariano Sales Alves, Junior
Laís Furlan Embrizi
Carolina Boschi Gimenes
Nathalia Moura de Mello e Silva
Fernanda Pegoraro de Godoi Melo
Paulyne Stadler Venzon
Dafne Barcala Gomez
Marynéa Silva do Vale
Maria Regina Bentlin
Marina Carvalho de Moraes Barros
Laura Emilia Monteiro Bigélli Cardoso
Edna Maria de Albuquerque Diniz
Jorge Hecker Luz
Sérgio Tadeu Martins Marba
João Henrique Carvalho Leme de Almeida
Davi Casale Aragon
Fabio Carmona
author_sort Viviane Cunha Cardoso
collection DOAJ
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.
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spelling doaj.art-15986706d8754d3c8b514ff8a2b0a7252023-01-18T04:29:52ZengElsevierJornal de Pediatria0021-75572023-01-019918693Growth phenotypes of very low birth weight infants for prediction of neonatal outcomes from a Brazilian cohort: comparison with INTERGROWTHViviane Cunha Cardoso0Carlos Grandi1Rita C. Silveira2José Luiz Bandeira Duarte3Maria Cândida Ferrarez Bouzada Viana4Daniela Marques de Lima Mota Ferreira5José Mariano Sales Alves, Junior6Laís Furlan Embrizi7Carolina Boschi Gimenes8Nathalia Moura de Mello e Silva9Fernanda Pegoraro de Godoi Melo10Paulyne Stadler Venzon11Dafne Barcala Gomez12Marynéa Silva do Vale13Maria Regina Bentlin14Marina Carvalho de Moraes Barros15Laura Emilia Monteiro Bigélli Cardoso16Edna Maria de Albuquerque Diniz17Jorge Hecker Luz18Sérgio Tadeu Martins Marba19João Henrique Carvalho Leme de Almeida20Davi Casale Aragon21Fabio Carmona22Universidade de São Paulo, Faculdade de Medicina de Ribeirão Preto, Departamento de Puericultura e Pediatria, São Paulo, SP, Brazil; Corresponding author.Sociedad Argentina de Pediatria, Subcomissión de Investigación, Buenos Aires, ArgentinaUniversidade Federal do Rio Grande do Sul, Hospital de Clínicas de Porto Alegre, Porto Alegre, RS, BrazilUniversidade do Estado do Rio de Janeiro, Hospital Universitário Pedro Ernesto, Rio de Janeiro, RJ, BrazilUniversidade Federal de Minas Gerais, Hospital das Clínicas, Belo Horizonte, MG, BrazilUniversidade Federal de Uberlândia, Faculdade de Medicina, Departamento de Pediatria, Uberlândia, MG, BrazilFaculdade de Ciências Médicas de Minas Gerais, Maternidade Escola Hilda Brandão, Belo Horizonte, MG, BrazilHospital Estadual Sumaré, Sumaré, SP, BrazilHospital Geral de Pirajussara, Taboão da Serra, SP, BrazilHospital Estadual de Diadema, Diadema, SP, BrazilUniversidade Estadual de Londrina, Londrina, PR, BrazilUniversidade Federal do Paraná, Departamento de Pediatria, Curitiba, PR, Brazil; Instituto de Medicina Integral Professor Fernando Figueira, Recife, PE, BrazilUniversidade Federal do Maranhão, Hospital Universitário, São Luís, MA, BrazilUniversidade Estadual Paulista, Faculdade de Medicina de Botucatu, Botucatu, SP, BrazilUniversidade Federal de São Paulo, Escola Paulista de Medicina, São Paulo, SP, BrazilUniversidade de São Paulo, Faculdade de Medicina, Hospital das Clínicas, São Paulo, SP, BrazilUniversidade de São Paulo, Hospital Universitário, São Paulo, SP, BrazilPontifícia Universidade Católica do Rio Grande do Sul, Hospital São Lucas, Porto Alegre, RS, BrazilUniversidade Estadual de Campinas, Faculdade de Ciências Médicas, Campinas, SP, BrazilFundação Oswaldo Cruz, Instituto Nacional de Saúde da Mulher da Criança e do Adolescente Fernandes Figueira, Rio de Janeiro, RJ, BrazilUniversidade de São Paulo, Faculdade de Medicina de Ribeirão Preto, Departamento de Puericultura e Pediatria, São Paulo, SP, BrazilUniversidade de São Paulo, Faculdade de Medicina de Ribeirão Preto, Departamento de Puericultura e Pediatria, São Paulo, SP, BrazilUniversidade de São Paulo, Faculdade de Medicina de Ribeirão Preto, Departamento de Puericultura e Pediatria, São Paulo, SP, BrazilObjective: 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.http://www.sciencedirect.com/science/article/pii/S002175572200095XPremature birthVery low birth weightPhenotypeOutcomePredictive valuesNetwork
spellingShingle Viviane Cunha Cardoso
Carlos Grandi
Rita C. Silveira
José Luiz Bandeira Duarte
Maria Cândida Ferrarez Bouzada Viana
Daniela Marques de Lima Mota Ferreira
José Mariano Sales Alves, Junior
Laís Furlan Embrizi
Carolina Boschi Gimenes
Nathalia Moura de Mello e Silva
Fernanda Pegoraro de Godoi Melo
Paulyne Stadler Venzon
Dafne Barcala Gomez
Marynéa Silva do Vale
Maria Regina Bentlin
Marina Carvalho de Moraes Barros
Laura Emilia Monteiro Bigélli Cardoso
Edna Maria de Albuquerque Diniz
Jorge Hecker Luz
Sérgio Tadeu Martins Marba
João Henrique Carvalho Leme de Almeida
Davi Casale Aragon
Fabio Carmona
Growth phenotypes of very low birth weight infants for prediction of neonatal outcomes from a Brazilian cohort: comparison with INTERGROWTH
Jornal de Pediatria
Premature birth
Very low birth weight
Phenotype
Outcome
Predictive values
Network
title 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_short 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
topic Premature birth
Very low birth weight
Phenotype
Outcome
Predictive values
Network
url http://www.sciencedirect.com/science/article/pii/S002175572200095X
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