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Neonatal anthropometry of malformed newborns: A large South American population-based study

Heisecke Peralta, Silvina Lidia et al · Wiley Blackwell Publishing, Inc · 2022

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Background: Population-based anthropometric evaluation of malformed newborns is scarce. Objectives: To evaluate malformed newborns' foetal growth using the ICD 10 malformations' classification. Methods: A study including 33,769 newborns (14,857 malformed and 18,912 nonmalformed), selected from 678,840 births from nine South American countries, period 2010–2018, was conducted. Prevalence of severe small and small for gestational age was calculated for malformed and nonmalformed newborns classified by preterm birth categories. Prevalence and relative risk (RR) with its 95% confidence interval (CI) were calculated. The associations between anthropometric phenotypes and congenital malformations were evaluated with generalized linear models. Results: Prevalence of preterm and term severe small and small for gestational age newborns was higher in malformed than that in nonmalformed neonates. For grouped ICD 10 malformations categories, the RR for severe small for gestational age was 2.88 (95% CI 2.51, 3.30) and 2.10 (95% CI 1.92, 2.30) for small for gestational age. For at-term and preterm malformed newborns, the RR for severe small for gestational age was 2.21 (95% CI 1.87, 2.61) and 3.21 (95% CI 2.52, 4.10), respectively; for small for gestational age, the RR was 2.31 (95% CI 2.11, 2.53) for at-term newborns and 2.58 (95% CI 2.16, 3.08) for preterm ones. Conclusions: Prevalence and relative risk of severe small and small for gestational age vary according to the group of malformations and gestational age; they increase in congenital malformations of the nervous, respiratory and digestive systems, and in chromosomal abnormalities and are lower for malformations of eye, ear, face and neck and cleft lip and palate. Foetal growth considered together with malformed newborns' gestational age would allow for inferring different risks of morbidity and mortality. Fil: Heisecke Peralta, Silvina Lidia. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. CEMIC-CONICET. Centro de Educaciones Médicas e Investigaciones Clínicas "Norberto Quirno". CEMIC-CONICET; Argentina Fil: Alfaro Gómez, Emma Laura. Universidad Nacional de Jujuy. Instituto de Ecorregiones Andinas. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Salta. Instituto de Ecorregiones Andinas; Argentina

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APA 7

Heisecke Peralta, S. L. E. A. (2022). Neonatal anthropometry of malformed newborns: A large South American population-based study. http://hdl.handle.net/11336/213171

MLA

Heisecke Peralta, Silvina Lidia et al. "Neonatal anthropometry of malformed newborns: A large South American population-based study." 2022. http://hdl.handle.net/11336/213171.

Chicago

Heisecke Peralta, Silvina Lidia et al. 2022. "Neonatal anthropometry of malformed newborns: A large South American population-based study.". http://hdl.handle.net/11336/213171.

Harvard

Heisecke Peralta, S. L. E. A. 2022, Neonatal anthropometry of malformed newborns: A large South American population-based study, Wiley Blackwell Publishing, Inc, available at: http://hdl.handle.net/11336/213171 [Accessed 5 Aug. 2026].

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Título
Neonatal anthropometry of malformed newborns: A large South American population-based study
Autor / colaboradores
Heisecke Peralta, Silvina Lidia et al
Editorial
Wiley Blackwell Publishing, Inc
Año de publicación
2022
ISSN
0269-5022
ISSN
0269-5022
Idioma
Inglés

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