Frequency of chromosomal syndromes in the Brazilian population between 2017 and 2021

Detalhes bibliográficos
Autor(a) principal: Santos, Sarah Sousa Nascimento dos
Data de Publicação: 2022
Outros Autores: Portilho, Adrhyann Jullyane de Sousa, Moreira-Nunes, Caroline Aquino
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista Ciências em Saúde
Texto Completo: https://portalrcs.hcitajuba.org.br/index.php/rcsfmit_zero/article/view/1298
Resumo: Objective: To evaluate the frequency of chromosomal syndromes in the Brazilian population between 2017 and 2021. Methods: This is an active search of open access databases of the Information System on Live Births (SINASC) from the Brazilian Ministry of Health from 2017 to 2021. For statistical analysis, Analysis of Variance (One-way ANOVA) was followed by the Bonferroni post-test, considering a significant level of p < 0,05. The chi-square test was used for correlation analysis. Results: The underreporting of congenital anomalies in Brazil has decreased over the last few years, showing significant values; however, those numbers varied between regions. The chromosomal syndromes with the highest incidence were Down Syndrome (76.15%), Edwards and Patau Syndromes (14.59%) grouped in the same ICD-10, with the South and Southeast regions, with an average frequency of 0.07%, as the leader in notifications. The maternal variables with a higher incidence of chromosomal syndromes were women over 35 years of age, with 8 to 11 years of schooling, and married. Conclusion: There was a decrease in the value related to underreporting over the years. The data show a disparity in the notification of chromosomal syndromes between regions and outline the maternal profile of a higher incidence of chromosomal syndromes.
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spelling Frequency of chromosomal syndromes in the Brazilian population between 2017 and 2021Frequência de síndromes cromossômicas na população brasileira entre 2017 e 2021BrazilCongenital anomalyEpidemiologyAnomalia congênitaEpidemiologiaBrasilObjective: To evaluate the frequency of chromosomal syndromes in the Brazilian population between 2017 and 2021. Methods: This is an active search of open access databases of the Information System on Live Births (SINASC) from the Brazilian Ministry of Health from 2017 to 2021. For statistical analysis, Analysis of Variance (One-way ANOVA) was followed by the Bonferroni post-test, considering a significant level of p < 0,05. The chi-square test was used for correlation analysis. Results: The underreporting of congenital anomalies in Brazil has decreased over the last few years, showing significant values; however, those numbers varied between regions. The chromosomal syndromes with the highest incidence were Down Syndrome (76.15%), Edwards and Patau Syndromes (14.59%) grouped in the same ICD-10, with the South and Southeast regions, with an average frequency of 0.07%, as the leader in notifications. The maternal variables with a higher incidence of chromosomal syndromes were women over 35 years of age, with 8 to 11 years of schooling, and married. Conclusion: There was a decrease in the value related to underreporting over the years. The data show a disparity in the notification of chromosomal syndromes between regions and outline the maternal profile of a higher incidence of chromosomal syndromes.Objetivo: Avaliar a frequência das síndromes cromossômicas na população brasileira entre os anos de 2017 e 2021. Métodos: Trata-se de uma busca ativa de bancos de dados de saúde de acesso livre, do Sistema de Informação sobre Nascidos Vivos (SINASC) do Ministério da Saúde do Brasil entre 2017 e 2021. Foi realizada a Análise de Variância (One-way ANOVA) seguido do pós-teste Bonferroni, considerando p < 0,05. O teste qui-quadrado foi usado para análise de correlação entre as variáveis maternas e risco para o desenvolvimento de síndromes cromossômicas. Resultados: A subnotificação das anomalias congênitas no Brasil diminuiu ao longo dos últimos apresentando valores estatisticamente significativos, porém apresentou variação entre as regiões. As síndromes cromossômicas de maior incidência foram a Síndrome de Down (76,15%) e Síndrome de Edwards e Patau (14,59%) conjuntas na mesma CID-10, tendo as regiões Sul e Sudeste, com 0,07% de frequência média dos casos, como líderes em notificações. As variáveis maternas nas quais se viu maior incidência de síndromes cromossômicas foram de mulheres acima de 35 anos, com 8 a 11 anos de escolaridade e casadas. Conclusão: Houve uma diminuição no valor relativo à subnotificação no decorrer dos anos. Os dados evidenciam disparidade na notificação das síndromes cromossômicas entre as regiões e traça o perfil materno de maior incidência de síndromes cromossômicas.AISI/HCI2022-09-12info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionPeer reviewedAvaliado pelos parestextoinfo:eu-repo/semantics/otherapplication/pdfhttps://portalrcs.hcitajuba.org.br/index.php/rcsfmit_zero/article/view/129810.21876/rcshci.v12i3.1298Revista Ciências em Saúde; v. 12 n. 3 (2022): Julho a Setembro de 2022; 75-82Health Sciences Journal; Vol 12 No 3 (2022): July to September 2022; 75-822236-378510.21876/rcshci.v12i3reponame:Revista Ciências em Saúdeinstname:Hospital de Clínicas de Itajubáinstacron:HCIenghttps://portalrcs.hcitajuba.org.br/index.php/rcsfmit_zero/article/view/1298/833Copyright (c) 2022 Revista Ciências em Saúdehttps://creativecommons.org/licenses/by-nc-sa/4.0info:eu-repo/semantics/openAccessSantos, Sarah Sousa Nascimento dosPortilho, Adrhyann Jullyane de SousaMoreira-Nunes, Caroline Aquino2022-09-15T18:27:37Zoai:ojs.portalrcs.hcitajuba.org.br:article/1298Revistahttps://portalrcs.hcitajuba.org.br/index.php/rcsfmit_zeroPUBhttps://portalrcs.hcitajuba.org.br/index.php/rcsfmit_zero/oaircs@hcitajuba.org.br||rcsfmit@medicinaitajuba.com.br2236-37852236-3785opendoar:2022-09-15T18:27:37Revista Ciências em Saúde - Hospital de Clínicas de Itajubáfalse
dc.title.none.fl_str_mv Frequency of chromosomal syndromes in the Brazilian population between 2017 and 2021
Frequência de síndromes cromossômicas na população brasileira entre 2017 e 2021
title Frequency of chromosomal syndromes in the Brazilian population between 2017 and 2021
spellingShingle Frequency of chromosomal syndromes in the Brazilian population between 2017 and 2021
Santos, Sarah Sousa Nascimento dos
Brazil
Congenital anomaly
Epidemiology
Anomalia congênita
Epidemiologia
Brasil
title_short Frequency of chromosomal syndromes in the Brazilian population between 2017 and 2021
title_full Frequency of chromosomal syndromes in the Brazilian population between 2017 and 2021
title_fullStr Frequency of chromosomal syndromes in the Brazilian population between 2017 and 2021
title_full_unstemmed Frequency of chromosomal syndromes in the Brazilian population between 2017 and 2021
title_sort Frequency of chromosomal syndromes in the Brazilian population between 2017 and 2021
author Santos, Sarah Sousa Nascimento dos
author_facet Santos, Sarah Sousa Nascimento dos
Portilho, Adrhyann Jullyane de Sousa
Moreira-Nunes, Caroline Aquino
author_role author
author2 Portilho, Adrhyann Jullyane de Sousa
Moreira-Nunes, Caroline Aquino
author2_role author
author
dc.contributor.author.fl_str_mv Santos, Sarah Sousa Nascimento dos
Portilho, Adrhyann Jullyane de Sousa
Moreira-Nunes, Caroline Aquino
dc.subject.por.fl_str_mv Brazil
Congenital anomaly
Epidemiology
Anomalia congênita
Epidemiologia
Brasil
topic Brazil
Congenital anomaly
Epidemiology
Anomalia congênita
Epidemiologia
Brasil
description Objective: To evaluate the frequency of chromosomal syndromes in the Brazilian population between 2017 and 2021. Methods: This is an active search of open access databases of the Information System on Live Births (SINASC) from the Brazilian Ministry of Health from 2017 to 2021. For statistical analysis, Analysis of Variance (One-way ANOVA) was followed by the Bonferroni post-test, considering a significant level of p < 0,05. The chi-square test was used for correlation analysis. Results: The underreporting of congenital anomalies in Brazil has decreased over the last few years, showing significant values; however, those numbers varied between regions. The chromosomal syndromes with the highest incidence were Down Syndrome (76.15%), Edwards and Patau Syndromes (14.59%) grouped in the same ICD-10, with the South and Southeast regions, with an average frequency of 0.07%, as the leader in notifications. The maternal variables with a higher incidence of chromosomal syndromes were women over 35 years of age, with 8 to 11 years of schooling, and married. Conclusion: There was a decrease in the value related to underreporting over the years. The data show a disparity in the notification of chromosomal syndromes between regions and outline the maternal profile of a higher incidence of chromosomal syndromes.
publishDate 2022
dc.date.none.fl_str_mv 2022-09-12
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer reviewed
Avaliado pelos pares
texto
info:eu-repo/semantics/other
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://portalrcs.hcitajuba.org.br/index.php/rcsfmit_zero/article/view/1298
10.21876/rcshci.v12i3.1298
url https://portalrcs.hcitajuba.org.br/index.php/rcsfmit_zero/article/view/1298
identifier_str_mv 10.21876/rcshci.v12i3.1298
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://portalrcs.hcitajuba.org.br/index.php/rcsfmit_zero/article/view/1298/833
dc.rights.driver.fl_str_mv Copyright (c) 2022 Revista Ciências em Saúde
https://creativecommons.org/licenses/by-nc-sa/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2022 Revista Ciências em Saúde
https://creativecommons.org/licenses/by-nc-sa/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv AISI/HCI
publisher.none.fl_str_mv AISI/HCI
dc.source.none.fl_str_mv Revista Ciências em Saúde; v. 12 n. 3 (2022): Julho a Setembro de 2022; 75-82
Health Sciences Journal; Vol 12 No 3 (2022): July to September 2022; 75-82
2236-3785
10.21876/rcshci.v12i3
reponame:Revista Ciências em Saúde
instname:Hospital de Clínicas de Itajubá
instacron:HCI
instname_str Hospital de Clínicas de Itajubá
instacron_str HCI
institution HCI
reponame_str Revista Ciências em Saúde
collection Revista Ciências em Saúde
repository.name.fl_str_mv Revista Ciências em Saúde - Hospital de Clínicas de Itajubá
repository.mail.fl_str_mv rcs@hcitajuba.org.br||rcsfmit@medicinaitajuba.com.br
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