COVID-19 impact on the diagnosis of Inborn Errors of Metabolism: Data from a reference center in Brazil
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Genetics and Molecular Biology |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572022000100103 |
Resumo: | Abstract The COVID-19 pandemic led to the reorganization of health care in several countries, including Brazil. Inborn Errors of Metabolism (IEM) are a group of rare and difficult to diagnose genetic diseases caused by pathogenic variants in genes that code for enzymes, cofactors, or structural proteins affecting different metabolic pathways. The aim of this study was to evaluate how COVID-19 affected the diagnosis of patients with IEM during the first year of the pandemic in Brazil comparing two distinct periods: from March 1st, 2019 to February 29th, 2020 (TIME A) and from March 1st, 2020 to February 28th, 2021 (TIME B), by the analysis of the number of tests and diagnoses performed in a Reference Center in South of Brazil. In the comparison TIME A with TIME B, we observe a reduction in the total number of tests performed (46%) and in the number of diagnoses (34%). In both periods analyzed, mucopolysaccharidoses (all subtypes combined) was the most frequent LD suspected and/or confirmed. Our data indicates a large reduction in the number of tests requested for the investigation of IEM and consequently a large reduction in the number of diagnoses caused by the COVID-19 pandemic leading to a significant underdiagnosis of IEM. |
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COVID-19 impact on the diagnosis of Inborn Errors of Metabolism: Data from a reference center in BrazilCOVID-19Inborn Errors of Metabolismlysosomal disordersreference centerBrazilAbstract The COVID-19 pandemic led to the reorganization of health care in several countries, including Brazil. Inborn Errors of Metabolism (IEM) are a group of rare and difficult to diagnose genetic diseases caused by pathogenic variants in genes that code for enzymes, cofactors, or structural proteins affecting different metabolic pathways. The aim of this study was to evaluate how COVID-19 affected the diagnosis of patients with IEM during the first year of the pandemic in Brazil comparing two distinct periods: from March 1st, 2019 to February 29th, 2020 (TIME A) and from March 1st, 2020 to February 28th, 2021 (TIME B), by the analysis of the number of tests and diagnoses performed in a Reference Center in South of Brazil. In the comparison TIME A with TIME B, we observe a reduction in the total number of tests performed (46%) and in the number of diagnoses (34%). In both periods analyzed, mucopolysaccharidoses (all subtypes combined) was the most frequent LD suspected and/or confirmed. Our data indicates a large reduction in the number of tests requested for the investigation of IEM and consequently a large reduction in the number of diagnoses caused by the COVID-19 pandemic leading to a significant underdiagnosis of IEM.Sociedade Brasileira de Genética2022-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572022000100103Genetics and Molecular Biology v.45 n.1 2022reponame:Genetics and Molecular Biologyinstname:Sociedade Brasileira de Genética (SBG)instacron:SBG10.1590/1678-4685-gmb-2021-0253info:eu-repo/semantics/openAccessSebastião,Fernanda MedeirosMichelin-Tirelli,KristianeBender,FernandaLopes,Franciele FátimaMoraes,InamaraKubaski,FrancyneGiugliani,RobertoBurin,Mairaeng2021-12-14T00:00:00Zoai:scielo:S1415-47572022000100103Revistahttp://www.gmb.org.br/ONGhttps://old.scielo.br/oai/scielo-oai.php||editor@gmb.org.br1678-46851415-4757opendoar:2021-12-14T00:00Genetics and Molecular Biology - Sociedade Brasileira de Genética (SBG)false |
dc.title.none.fl_str_mv |
COVID-19 impact on the diagnosis of Inborn Errors of Metabolism: Data from a reference center in Brazil |
title |
COVID-19 impact on the diagnosis of Inborn Errors of Metabolism: Data from a reference center in Brazil |
spellingShingle |
COVID-19 impact on the diagnosis of Inborn Errors of Metabolism: Data from a reference center in Brazil Sebastião,Fernanda Medeiros COVID-19 Inborn Errors of Metabolism lysosomal disorders reference center Brazil |
title_short |
COVID-19 impact on the diagnosis of Inborn Errors of Metabolism: Data from a reference center in Brazil |
title_full |
COVID-19 impact on the diagnosis of Inborn Errors of Metabolism: Data from a reference center in Brazil |
title_fullStr |
COVID-19 impact on the diagnosis of Inborn Errors of Metabolism: Data from a reference center in Brazil |
title_full_unstemmed |
COVID-19 impact on the diagnosis of Inborn Errors of Metabolism: Data from a reference center in Brazil |
title_sort |
COVID-19 impact on the diagnosis of Inborn Errors of Metabolism: Data from a reference center in Brazil |
author |
Sebastião,Fernanda Medeiros |
author_facet |
Sebastião,Fernanda Medeiros Michelin-Tirelli,Kristiane Bender,Fernanda Lopes,Franciele Fátima Moraes,Inamara Kubaski,Francyne Giugliani,Roberto Burin,Maira |
author_role |
author |
author2 |
Michelin-Tirelli,Kristiane Bender,Fernanda Lopes,Franciele Fátima Moraes,Inamara Kubaski,Francyne Giugliani,Roberto Burin,Maira |
author2_role |
author author author author author author author |
dc.contributor.author.fl_str_mv |
Sebastião,Fernanda Medeiros Michelin-Tirelli,Kristiane Bender,Fernanda Lopes,Franciele Fátima Moraes,Inamara Kubaski,Francyne Giugliani,Roberto Burin,Maira |
dc.subject.por.fl_str_mv |
COVID-19 Inborn Errors of Metabolism lysosomal disorders reference center Brazil |
topic |
COVID-19 Inborn Errors of Metabolism lysosomal disorders reference center Brazil |
description |
Abstract The COVID-19 pandemic led to the reorganization of health care in several countries, including Brazil. Inborn Errors of Metabolism (IEM) are a group of rare and difficult to diagnose genetic diseases caused by pathogenic variants in genes that code for enzymes, cofactors, or structural proteins affecting different metabolic pathways. The aim of this study was to evaluate how COVID-19 affected the diagnosis of patients with IEM during the first year of the pandemic in Brazil comparing two distinct periods: from March 1st, 2019 to February 29th, 2020 (TIME A) and from March 1st, 2020 to February 28th, 2021 (TIME B), by the analysis of the number of tests and diagnoses performed in a Reference Center in South of Brazil. In the comparison TIME A with TIME B, we observe a reduction in the total number of tests performed (46%) and in the number of diagnoses (34%). In both periods analyzed, mucopolysaccharidoses (all subtypes combined) was the most frequent LD suspected and/or confirmed. Our data indicates a large reduction in the number of tests requested for the investigation of IEM and consequently a large reduction in the number of diagnoses caused by the COVID-19 pandemic leading to a significant underdiagnosis of IEM. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-01-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572022000100103 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572022000100103 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/1678-4685-gmb-2021-0253 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Sociedade Brasileira de Genética |
publisher.none.fl_str_mv |
Sociedade Brasileira de Genética |
dc.source.none.fl_str_mv |
Genetics and Molecular Biology v.45 n.1 2022 reponame:Genetics and Molecular Biology instname:Sociedade Brasileira de Genética (SBG) instacron:SBG |
instname_str |
Sociedade Brasileira de Genética (SBG) |
instacron_str |
SBG |
institution |
SBG |
reponame_str |
Genetics and Molecular Biology |
collection |
Genetics and Molecular Biology |
repository.name.fl_str_mv |
Genetics and Molecular Biology - Sociedade Brasileira de Genética (SBG) |
repository.mail.fl_str_mv |
||editor@gmb.org.br |
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1752122390556442624 |