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
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Online Access:http://www.sciencedirect.com/science/article/pii/S002175572200095X
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Summary: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.
ISSN:0021-7557