Trend and high risk clusters for the occurrence of congenital anomalies in the State of Mato Grosso, Brazil (2008-2019)

Abstract Objectives: to analyze the spatiotemporal dynamics of the prevalence of congenital anomalies in in cities of Mato Grosso (MT), in the Mid-West of Brazil, from 2008 to 2019. Methods: an ecological study of cases in MT during the period from 2008 to 2019. The Annual Percent Change (APC) of...

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Main Authors: Bruna Rayeli Groth, Eliziani Gonçalves da Silva, Camila Beatriz Alves da Rocha, Bruna Hinnah Borges Martins de Freitas, Rafaela Benevides Ferreira Machado, Elena Alves Benevides Ferreira, Lúbia Maieles Gomes Machado, Emerson Soares dos Santos, Iara Denise Endruweit Battisti, Silvana Margarida Benevides Ferreira
Format: Article
Language:English
Published: Instituto Materno Infantil de Pernambuco 2025-01-01
Series:Revista Brasileira de Saúde Materno Infantil
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Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1519-38292025000100401&lng=en&tlng=en
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Summary:Abstract Objectives: to analyze the spatiotemporal dynamics of the prevalence of congenital anomalies in in cities of Mato Grosso (MT), in the Mid-West of Brazil, from 2008 to 2019. Methods: an ecological study of cases in MT during the period from 2008 to 2019. The Annual Percent Change (APC) of the coefficients was used in the tendency analysis, through Prais-Winsten regression and the identification of high risk clusters. Results: the congenital malformation rate in the State was 6.52 per 1,000 live births, demonstrating a stationary tendency (APC-1.02; 95%CI= -2.93-0.93). Most congenital anomalies showed a stationary tendency, except for those of the cardiovascular system (APC=13.58; 95%CI= 3.60-24.52). Newborns with an Apgar score of ≤ 7 at the first and fifth minutes of life showed an increased tendency (APC=2.30; 95%CI=0.05-4.60 and APC=4.15; 95%CI= 1.52-6.65, respectively). The spatial distribution was heterogeneous, with the highest average rates of cases in the West, Central North, and South health macro-regions. The spatiotemporal scan identified three high risk clusters between 2015 and 2019, with a relative risk (RR) up to five times higher for anomalies. Conclusion: congenital anomalies in MT exhibited a heterogeneous dynamic with specific high risk areas, and their increasing tendency among maternal and neonatal factors highlights the need for regional prevention and control strategies.
ISSN:1806-9304