Literature DB >> 33496933

Geographic distribution of live births and infant mortality from congenital anomalies in Brazil, 2012-2017.

Luzivan Costa Reis1, Wesley Luciano Kaizer2, Juliano André Boquett3,4.   

Abstract

In the 2010-2014 period, the mean prevalence of congenital anomalies (CA) in the world was estimated at 398/10,000 births. CA are an important cause of mortality, disability, and comorbidity. Thus, the present study aims to describe the geographical and temporal distributions of live births and infant mortality (IM) due CA (IM-CA) in Brazil, from 2012 to 2017. The data used in this study is available at the Department of Informatics of the Unified Health System (DATASUS). The prevalence of CA at birth was 81.67/10,000 (95% CI 80.46-82.88), and the IM-CA rate was 27.97/10,000 (95% CI 27.95-28.00) in the studied period. The five CA with the highest rates were polydactyly (9.66/10,000, 95% CI 6.10-9.82), Down syndrome (3.40/10,000, 95% CI 3.41-5.99), microcephaly (2.92/10,000, 95% CI 2.91-3.12), hydrocephalus (2.72/10,000, 95% CI 2.65-2.90), and spina bifida (2.44/10,000, 95% CI 2.43-2.64). São Paulo was the Brazilian state with the highest CA birth rate (119.3/10,000), and Amazonas was the state with the highest IM-CA rate (33.8/10,000). The description and data analyses such as those performed in this work are relevant for healthcare systems and can be very useful in the formulation of public health campaigns and policies, as well as informing and educating professionals and the population. The management of clinical actions should consider all social, economic, geographic, and epidemiological factors.

Entities:  

Keywords:  Brazil; Congenital anomalies; Infant mortality; Live births; Microcephaly; Polydactyly

Year:  2021        PMID: 33496933     DOI: 10.1007/s12687-021-00509-4

Source DB:  PubMed          Journal:  J Community Genet        ISSN: 1868-310X


  28 in total

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Authors:  Rubén Bronberg; José Dipierri; Emma Alfaro; Maria Teresa Sanseverino; Lavinia Schüler-Faccini
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2.  An easy to use method to approximate Poisson confidence limits.

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Authors:  Rubén Bronberg; Lavinia Schuler-Faccini; Virginia Ramallo; Emma Alfaro; José Dipierri
Journal:  J Community Genet       Date:  2013-10-01

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Authors:  Paulo Germano de Frias; Célia Landmann Szwarcwald; Pedro Israel Cabral de Lira
Journal:  Cad Saude Publica       Date:  2014-10       Impact factor: 1.632

5.  Infant mortality due to congenital malformations in the Autonomous City of Buenos Aires (1998-2015): Spatial, temporal analysis and relation to the socioeconomic status.

Authors:  Rubén A Bronberg; José E Dipierri
Journal:  Arch Argent Pediatr       Date:  2019-06-01       Impact factor: 0.635

6.  Descriptive analysis of high birth prevalence rate geographical clusters of congenital anomalies in South America.

Authors:  Juan Antonio Gili; Fernando Adrián Poletta; Lucas Gabriel Giménez; Mariela Soledad Pawluk; Hebe Campaña; Eduardo Enrique Castilla; Jorge Santiago López-Camelo
Journal:  Birth Defects Res A Clin Mol Teratol       Date:  2016-02-17

7.  Genetic Overview of Syndactyly and Polydactyly.

Authors:  Humayun Ahmed; Hossein Akbari; Abdolhasan Emami; Mohammad R Akbari
Journal:  Plast Reconstr Surg Glob Open       Date:  2017-11-02

8.  Zika might not be acting alone: Using an ecological study approach to investigate potential co-acting risk factors for an unusual pattern of microcephaly in Brazil.

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Journal:  PLoS One       Date:  2018-08-15       Impact factor: 3.240

9.  The association between Zika virus infection and microcephaly in Brazil 2015-2017: An observational analysis of over 4 million births.

Authors:  Oliver J Brady; Aaron Osgood-Zimmerman; Nicholas J Kassebaum; Sarah E Ray; Valdelaine E M de Araújo; Aglaêr A da Nóbrega; Livia C V Frutuoso; Roberto C R Lecca; Antony Stevens; Bruno Zoca de Oliveira; José M de Lima; Isaac I Bogoch; Philippe Mayaud; Thomas Jaenisch; Ali H Mokdad; Christopher J L Murray; Simon I Hay; Robert C Reiner; Fatima Marinho
Journal:  PLoS Med       Date:  2019-03-05       Impact factor: 11.069

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