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Risk stratification for small for gestational age for the Brazilian population: a secondary analysis of the Birth in Brazil study

Risk-stratification screening for SGA has been proposed in high-income countries to prevent perinatal morbidity and mortality. There is paucity of data from middle-income settings. The aim of this study is to explore risk factors for SGA in Brazil and assess potential for risk stratification. This p...

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Autores principales: Souza, Renato T., Vieira, Matias C., Esteves-Pereira, Ana Paula, Domingues, Rosa Maria Soares Madeira, Moreira, Maria Elisabeth Lopes, da Cunha Filho, Edson Vieira, Sandall, Jane, Cecatti, Jose G., do Carmo Leal, Maria, Dias, Marcos Augusto Bastos, Pasupathy, Dharmintra
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7477559/
https://www.ncbi.nlm.nih.gov/pubmed/32895438
http://dx.doi.org/10.1038/s41598-020-71252-y
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author Souza, Renato T.
Vieira, Matias C.
Esteves-Pereira, Ana Paula
Domingues, Rosa Maria Soares Madeira
Moreira, Maria Elisabeth Lopes
da Cunha Filho, Edson Vieira
Sandall, Jane
Cecatti, Jose G.
do Carmo Leal, Maria
Dias, Marcos Augusto Bastos
Pasupathy, Dharmintra
author_facet Souza, Renato T.
Vieira, Matias C.
Esteves-Pereira, Ana Paula
Domingues, Rosa Maria Soares Madeira
Moreira, Maria Elisabeth Lopes
da Cunha Filho, Edson Vieira
Sandall, Jane
Cecatti, Jose G.
do Carmo Leal, Maria
Dias, Marcos Augusto Bastos
Pasupathy, Dharmintra
author_sort Souza, Renato T.
collection PubMed
description Risk-stratification screening for SGA has been proposed in high-income countries to prevent perinatal morbidity and mortality. There is paucity of data from middle-income settings. The aim of this study is to explore risk factors for SGA in Brazil and assess potential for risk stratification. This population-based study is a secondary analysis of Birth in Brazil study, conducted in 266 maternity units between 2011 and 2012. Univariate and multivariate logistic regressions were performed, and population attributable fraction estimated for early and all pregnancy factors. We calculated absolute risk, odds ratio, and population prevalence of single or combined factors stratified by parity. Factors associated with SGA were maternal lupus (OR(adj) 4.36, 95% CI [2.32–8.18]), hypertensive disorders in pregnancy (OR(adj) 2.72, 95% CI [2.28–3.24]), weight gain < 5 kg (OR(adj) 2.37, 95% CI [1.99–2.83]), smoking at late pregnancy (OR(adj) 2.04, 95% CI [1.60–2.59]), previous low birthweight (OR(adj) 2.22, 95% CI [1.79–2.75]), nulliparity (OR(adj) 1.81, 95% CI [1.60–2.05]), underweight (OR(adj) 1.61, 95% CI [1.36–1.92]) and socioeconomic status (SES) < 5th centile (OR(adj) 1.23, 95% CI [1.05–1.45]). Having two or more risk factors (prevalence of 4.4% and 8.0%) was associated with a 2 and fourfold increase in the risk for SGA in nulliparous and multiparous, respectively. Early and all pregnancy risk factors allow development of risk-stratification for SGA. Implementation of risk stratification coupled with specific strategies for reduction of risk and increased surveillance has the potential to contribute to the reduction of stillbirth in Brazil through increased detection of SGA, appropriate management and timely delivery.
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spelling pubmed-74775592020-09-08 Risk stratification for small for gestational age for the Brazilian population: a secondary analysis of the Birth in Brazil study Souza, Renato T. Vieira, Matias C. Esteves-Pereira, Ana Paula Domingues, Rosa Maria Soares Madeira Moreira, Maria Elisabeth Lopes da Cunha Filho, Edson Vieira Sandall, Jane Cecatti, Jose G. do Carmo Leal, Maria Dias, Marcos Augusto Bastos Pasupathy, Dharmintra Sci Rep Article Risk-stratification screening for SGA has been proposed in high-income countries to prevent perinatal morbidity and mortality. There is paucity of data from middle-income settings. The aim of this study is to explore risk factors for SGA in Brazil and assess potential for risk stratification. This population-based study is a secondary analysis of Birth in Brazil study, conducted in 266 maternity units between 2011 and 2012. Univariate and multivariate logistic regressions were performed, and population attributable fraction estimated for early and all pregnancy factors. We calculated absolute risk, odds ratio, and population prevalence of single or combined factors stratified by parity. Factors associated with SGA were maternal lupus (OR(adj) 4.36, 95% CI [2.32–8.18]), hypertensive disorders in pregnancy (OR(adj) 2.72, 95% CI [2.28–3.24]), weight gain < 5 kg (OR(adj) 2.37, 95% CI [1.99–2.83]), smoking at late pregnancy (OR(adj) 2.04, 95% CI [1.60–2.59]), previous low birthweight (OR(adj) 2.22, 95% CI [1.79–2.75]), nulliparity (OR(adj) 1.81, 95% CI [1.60–2.05]), underweight (OR(adj) 1.61, 95% CI [1.36–1.92]) and socioeconomic status (SES) < 5th centile (OR(adj) 1.23, 95% CI [1.05–1.45]). Having two or more risk factors (prevalence of 4.4% and 8.0%) was associated with a 2 and fourfold increase in the risk for SGA in nulliparous and multiparous, respectively. Early and all pregnancy risk factors allow development of risk-stratification for SGA. Implementation of risk stratification coupled with specific strategies for reduction of risk and increased surveillance has the potential to contribute to the reduction of stillbirth in Brazil through increased detection of SGA, appropriate management and timely delivery. Nature Publishing Group UK 2020-09-07 /pmc/articles/PMC7477559/ /pubmed/32895438 http://dx.doi.org/10.1038/s41598-020-71252-y Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Souza, Renato T.
Vieira, Matias C.
Esteves-Pereira, Ana Paula
Domingues, Rosa Maria Soares Madeira
Moreira, Maria Elisabeth Lopes
da Cunha Filho, Edson Vieira
Sandall, Jane
Cecatti, Jose G.
do Carmo Leal, Maria
Dias, Marcos Augusto Bastos
Pasupathy, Dharmintra
Risk stratification for small for gestational age for the Brazilian population: a secondary analysis of the Birth in Brazil study
title Risk stratification for small for gestational age for the Brazilian population: a secondary analysis of the Birth in Brazil study
title_full Risk stratification for small for gestational age for the Brazilian population: a secondary analysis of the Birth in Brazil study
title_fullStr Risk stratification for small for gestational age for the Brazilian population: a secondary analysis of the Birth in Brazil study
title_full_unstemmed Risk stratification for small for gestational age for the Brazilian population: a secondary analysis of the Birth in Brazil study
title_short Risk stratification for small for gestational age for the Brazilian population: a secondary analysis of the Birth in Brazil study
title_sort risk stratification for small for gestational age for the brazilian population: a secondary analysis of the birth in brazil study
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7477559/
https://www.ncbi.nlm.nih.gov/pubmed/32895438
http://dx.doi.org/10.1038/s41598-020-71252-y
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