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...
Main Authors: | , , , , , , , , , , , , , , , , , , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2023-01-01
|
Series: | Jornal de Pediatria |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S002175572200095X |
_version_ | 1828061797919227904 |
---|---|
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. |
first_indexed | 2024-04-10T22:20:30Z |
format | Article |
id | doaj.art-15986706d8754d3c8b514ff8a2b0a725 |
institution | Directory Open Access Journal |
issn | 0021-7557 |
language | English |
last_indexed | 2024-04-10T22:20:30Z |
publishDate | 2023-01-01 |
publisher | Elsevier |
record_format | Article |
series | Jornal de Pediatria |
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 |
work_keys_str_mv | AT vivianecunhacardoso growthphenotypesofverylowbirthweightinfantsforpredictionofneonataloutcomesfromabraziliancohortcomparisonwithintergrowth AT carlosgrandi growthphenotypesofverylowbirthweightinfantsforpredictionofneonataloutcomesfromabraziliancohortcomparisonwithintergrowth AT ritacsilveira growthphenotypesofverylowbirthweightinfantsforpredictionofneonataloutcomesfromabraziliancohortcomparisonwithintergrowth AT joseluizbandeiraduarte growthphenotypesofverylowbirthweightinfantsforpredictionofneonataloutcomesfromabraziliancohortcomparisonwithintergrowth AT mariacandidaferrarezbouzadaviana growthphenotypesofverylowbirthweightinfantsforpredictionofneonataloutcomesfromabraziliancohortcomparisonwithintergrowth AT danielamarquesdelimamotaferreira growthphenotypesofverylowbirthweightinfantsforpredictionofneonataloutcomesfromabraziliancohortcomparisonwithintergrowth AT josemarianosalesalvesjunior growthphenotypesofverylowbirthweightinfantsforpredictionofneonataloutcomesfromabraziliancohortcomparisonwithintergrowth AT laisfurlanembrizi growthphenotypesofverylowbirthweightinfantsforpredictionofneonataloutcomesfromabraziliancohortcomparisonwithintergrowth AT carolinaboschigimenes growthphenotypesofverylowbirthweightinfantsforpredictionofneonataloutcomesfromabraziliancohortcomparisonwithintergrowth AT nathaliamourademelloesilva growthphenotypesofverylowbirthweightinfantsforpredictionofneonataloutcomesfromabraziliancohortcomparisonwithintergrowth AT fernandapegorarodegodoimelo growthphenotypesofverylowbirthweightinfantsforpredictionofneonataloutcomesfromabraziliancohortcomparisonwithintergrowth AT paulynestadlervenzon growthphenotypesofverylowbirthweightinfantsforpredictionofneonataloutcomesfromabraziliancohortcomparisonwithintergrowth AT dafnebarcalagomez growthphenotypesofverylowbirthweightinfantsforpredictionofneonataloutcomesfromabraziliancohortcomparisonwithintergrowth AT maryneasilvadovale growthphenotypesofverylowbirthweightinfantsforpredictionofneonataloutcomesfromabraziliancohortcomparisonwithintergrowth AT mariareginabentlin growthphenotypesofverylowbirthweightinfantsforpredictionofneonataloutcomesfromabraziliancohortcomparisonwithintergrowth AT marinacarvalhodemoraesbarros growthphenotypesofverylowbirthweightinfantsforpredictionofneonataloutcomesfromabraziliancohortcomparisonwithintergrowth AT lauraemiliamonteirobigellicardoso growthphenotypesofverylowbirthweightinfantsforpredictionofneonataloutcomesfromabraziliancohortcomparisonwithintergrowth AT ednamariadealbuquerquediniz growthphenotypesofverylowbirthweightinfantsforpredictionofneonataloutcomesfromabraziliancohortcomparisonwithintergrowth AT jorgeheckerluz growthphenotypesofverylowbirthweightinfantsforpredictionofneonataloutcomesfromabraziliancohortcomparisonwithintergrowth AT sergiotadeumartinsmarba growthphenotypesofverylowbirthweightinfantsforpredictionofneonataloutcomesfromabraziliancohortcomparisonwithintergrowth AT joaohenriquecarvalholemedealmeida growthphenotypesofverylowbirthweightinfantsforpredictionofneonataloutcomesfromabraziliancohortcomparisonwithintergrowth AT davicasalearagon growthphenotypesofverylowbirthweightinfantsforpredictionofneonataloutcomesfromabraziliancohortcomparisonwithintergrowth AT fabiocarmona growthphenotypesofverylowbirthweightinfantsforpredictionofneonataloutcomesfromabraziliancohortcomparisonwithintergrowth |