Prenatal diagnosis of congenital anomalies and birth institution complexity levels in Argentina
- Autores
- Astudillo, Analizia; Groisman, Boris; Barbero, Pablo; Bidondo, María Paz; Liascovich, Rosa; Aiello, Horacio Antonio; Trotta, Marianela; Brun, Paloma Laura
- Año de publicación
- 2025
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- Patiens with major congenital anomalies diagnosed prenatally should be referred to and delivered in institutions with the appropriate level of complexity, as this reduces morbidity and mortality. We aimed to assess the prevalence and prenatal diagnosis proportion of selected congenital abnormalities and the complexity levels of birth institutions in a sample of public maternity hospitals in Argentina. Data sources were (1) National Congenital Anomalies Registry, covering the period from 2013 to 2021; and (2) Categorization of birth institutions according to their complexity (high or low). Newborns with the following anomalies were selected for analysis: spina bifida, hydrocephalus, critical congenital heart defects, diaphragmatic hernia, gastroschisis, and omphalocele. Prevalences at birth and prenatal diagnosis proportions were calculated according to the birth institution complexity level. A total of 2.214.102 births across 131 institutions were evaluated, with 1.202.311 births in high-complexity institutions and 1.011.791 in low-complexity institutions. The prevalences per 10.000 births and the prenatal diagnosis proportions for the entire sample were: spina bifida 5,40(95%CI 5,10 − 5,71) 68,54%; hydrocephalus 6,96(95% CI 6,62 − 7,32) 78,92%; critical congenital heart defects 11,05(95% CI 10,62 − 11,49) 43,21%; diaphragmatic hernia 3,88(95%CI 3,62 − 4,14) 68,65%; gastroschisis 7,85(95%CI 7,48 − 8,22) 79,27%; omphalocele 2,01(95%CI 1,83 − 2,20) 76,18%. Prevalences and prenatal diagnosis porportions were significantly higher in high-complexity institutions. Prenatal diagnosis and perinatal care networks must be improved to ensure that patients with major congenital anomalies are delivered in high-complexity birth institutions. The prevalence and prenatal diagnosis porportion, stratified by the complexity level of institutions, can serve as management indicators to evaluate improvements in care quality.
Fil: Astudillo, Analizia. Gobierno de la Ciudad de Buenos Aires. Hospital de Pediatría "Juan P. Garrahan"; Argentina
Fil: Groisman, Boris. Dirección Nacional de Instituto de Investigación. Administración Nacional de Laboratorio e Instituto de Salud "Dr. C. G. Malbrán"; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Barbero, Pablo. Dirección Nacional de Instituto de Investigación. Administración Nacional de Laboratorio e Instituto de Salud "Dr. C. G. Malbrán"; Argentina
Fil: Bidondo, María Paz. Dirección Nacional de Instituto de Investigación. Administración Nacional de Laboratorio e Instituto de Salud "Dr. C. G. Malbrán"; Argentina
Fil: Liascovich, Rosa. Dirección Nacional de Instituto de Investigación. Administración Nacional de Laboratorio e Instituto de Salud "Dr. C. G. Malbrán"; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Aiello, Horacio Antonio. Dirección Nacional de Instituto de Investigación. Administración Nacional de Laboratorio e Instituto de Salud "Dr. C. G. Malbrán"; Argentina
Fil: Trotta, Marianela. Dirección Nacional de Instituto de Investigación. Administración Nacional de Laboratorio e Instituto de Salud "Dr. C. G. Malbrán"; Argentina
Fil: Brun, Paloma Laura. Dirección Nacional de Instituto de Investigación. Administración Nacional de Laboratorio e Instituto de Salud "Dr. C. G. Malbrán"; Argentina - Materia
-
congenital
anomalies - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/262864
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Prenatal diagnosis of congenital anomalies and birth institution complexity levels in ArgentinaAstudillo, AnaliziaGroisman, BorisBarbero, PabloBidondo, María PazLiascovich, RosaAiello, Horacio AntonioTrotta, MarianelaBrun, Paloma Lauracongenitalanomalieshttps://purl.org/becyt/ford/3.3https://purl.org/becyt/ford/3Patiens with major congenital anomalies diagnosed prenatally should be referred to and delivered in institutions with the appropriate level of complexity, as this reduces morbidity and mortality. We aimed to assess the prevalence and prenatal diagnosis proportion of selected congenital abnormalities and the complexity levels of birth institutions in a sample of public maternity hospitals in Argentina. Data sources were (1) National Congenital Anomalies Registry, covering the period from 2013 to 2021; and (2) Categorization of birth institutions according to their complexity (high or low). Newborns with the following anomalies were selected for analysis: spina bifida, hydrocephalus, critical congenital heart defects, diaphragmatic hernia, gastroschisis, and omphalocele. Prevalences at birth and prenatal diagnosis proportions were calculated according to the birth institution complexity level. A total of 2.214.102 births across 131 institutions were evaluated, with 1.202.311 births in high-complexity institutions and 1.011.791 in low-complexity institutions. The prevalences per 10.000 births and the prenatal diagnosis proportions for the entire sample were: spina bifida 5,40(95%CI 5,10 − 5,71) 68,54%; hydrocephalus 6,96(95% CI 6,62 − 7,32) 78,92%; critical congenital heart defects 11,05(95% CI 10,62 − 11,49) 43,21%; diaphragmatic hernia 3,88(95%CI 3,62 − 4,14) 68,65%; gastroschisis 7,85(95%CI 7,48 − 8,22) 79,27%; omphalocele 2,01(95%CI 1,83 − 2,20) 76,18%. Prevalences and prenatal diagnosis porportions were significantly higher in high-complexity institutions. Prenatal diagnosis and perinatal care networks must be improved to ensure that patients with major congenital anomalies are delivered in high-complexity birth institutions. The prevalence and prenatal diagnosis porportion, stratified by the complexity level of institutions, can serve as management indicators to evaluate improvements in care quality.Fil: Astudillo, Analizia. Gobierno de la Ciudad de Buenos Aires. Hospital de Pediatría "Juan P. Garrahan"; ArgentinaFil: Groisman, Boris. Dirección Nacional de Instituto de Investigación. Administración Nacional de Laboratorio e Instituto de Salud "Dr. C. G. Malbrán"; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Barbero, Pablo. Dirección Nacional de Instituto de Investigación. Administración Nacional de Laboratorio e Instituto de Salud "Dr. C. G. Malbrán"; ArgentinaFil: Bidondo, María Paz. Dirección Nacional de Instituto de Investigación. Administración Nacional de Laboratorio e Instituto de Salud "Dr. C. G. Malbrán"; ArgentinaFil: Liascovich, Rosa. Dirección Nacional de Instituto de Investigación. Administración Nacional de Laboratorio e Instituto de Salud "Dr. C. G. Malbrán"; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Aiello, Horacio Antonio. Dirección Nacional de Instituto de Investigación. Administración Nacional de Laboratorio e Instituto de Salud "Dr. C. G. Malbrán"; ArgentinaFil: Trotta, Marianela. Dirección Nacional de Instituto de Investigación. Administración Nacional de Laboratorio e Instituto de Salud "Dr. C. G. Malbrán"; ArgentinaFil: Brun, Paloma Laura. Dirección Nacional de Instituto de Investigación. Administración Nacional de Laboratorio e Instituto de Salud "Dr. C. G. Malbrán"; ArgentinaSpringer Nature2025-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/262864Astudillo, Analizia; Groisman, Boris; Barbero, Pablo; Bidondo, María Paz; Liascovich, Rosa; et al.; Prenatal diagnosis of congenital anomalies and birth institution complexity levels in Argentina; Springer Nature; Journal of Community Genetics; 16; 2; 1-2025; 161-1661868-6001CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://link.springer.com/10.1007/s12687-024-00766-zinfo:eu-repo/semantics/altIdentifier/doi/10.1007/s12687-024-00766-zinfo:eu-repo/semantics/altIdentifier/url/https://pmc.ncbi.nlm.nih.gov/articles/PMC11979027/info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T09:55:10Zoai:ri.conicet.gov.ar:11336/262864instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-03 09:55:10.298CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Prenatal diagnosis of congenital anomalies and birth institution complexity levels in Argentina |
title |
Prenatal diagnosis of congenital anomalies and birth institution complexity levels in Argentina |
spellingShingle |
Prenatal diagnosis of congenital anomalies and birth institution complexity levels in Argentina Astudillo, Analizia congenital anomalies |
title_short |
Prenatal diagnosis of congenital anomalies and birth institution complexity levels in Argentina |
title_full |
Prenatal diagnosis of congenital anomalies and birth institution complexity levels in Argentina |
title_fullStr |
Prenatal diagnosis of congenital anomalies and birth institution complexity levels in Argentina |
title_full_unstemmed |
Prenatal diagnosis of congenital anomalies and birth institution complexity levels in Argentina |
title_sort |
Prenatal diagnosis of congenital anomalies and birth institution complexity levels in Argentina |
dc.creator.none.fl_str_mv |
Astudillo, Analizia Groisman, Boris Barbero, Pablo Bidondo, María Paz Liascovich, Rosa Aiello, Horacio Antonio Trotta, Marianela Brun, Paloma Laura |
author |
Astudillo, Analizia |
author_facet |
Astudillo, Analizia Groisman, Boris Barbero, Pablo Bidondo, María Paz Liascovich, Rosa Aiello, Horacio Antonio Trotta, Marianela Brun, Paloma Laura |
author_role |
author |
author2 |
Groisman, Boris Barbero, Pablo Bidondo, María Paz Liascovich, Rosa Aiello, Horacio Antonio Trotta, Marianela Brun, Paloma Laura |
author2_role |
author author author author author author author |
dc.subject.none.fl_str_mv |
congenital anomalies |
topic |
congenital anomalies |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/3.3 https://purl.org/becyt/ford/3 |
dc.description.none.fl_txt_mv |
Patiens with major congenital anomalies diagnosed prenatally should be referred to and delivered in institutions with the appropriate level of complexity, as this reduces morbidity and mortality. We aimed to assess the prevalence and prenatal diagnosis proportion of selected congenital abnormalities and the complexity levels of birth institutions in a sample of public maternity hospitals in Argentina. Data sources were (1) National Congenital Anomalies Registry, covering the period from 2013 to 2021; and (2) Categorization of birth institutions according to their complexity (high or low). Newborns with the following anomalies were selected for analysis: spina bifida, hydrocephalus, critical congenital heart defects, diaphragmatic hernia, gastroschisis, and omphalocele. Prevalences at birth and prenatal diagnosis proportions were calculated according to the birth institution complexity level. A total of 2.214.102 births across 131 institutions were evaluated, with 1.202.311 births in high-complexity institutions and 1.011.791 in low-complexity institutions. The prevalences per 10.000 births and the prenatal diagnosis proportions for the entire sample were: spina bifida 5,40(95%CI 5,10 − 5,71) 68,54%; hydrocephalus 6,96(95% CI 6,62 − 7,32) 78,92%; critical congenital heart defects 11,05(95% CI 10,62 − 11,49) 43,21%; diaphragmatic hernia 3,88(95%CI 3,62 − 4,14) 68,65%; gastroschisis 7,85(95%CI 7,48 − 8,22) 79,27%; omphalocele 2,01(95%CI 1,83 − 2,20) 76,18%. Prevalences and prenatal diagnosis porportions were significantly higher in high-complexity institutions. Prenatal diagnosis and perinatal care networks must be improved to ensure that patients with major congenital anomalies are delivered in high-complexity birth institutions. The prevalence and prenatal diagnosis porportion, stratified by the complexity level of institutions, can serve as management indicators to evaluate improvements in care quality. Fil: Astudillo, Analizia. Gobierno de la Ciudad de Buenos Aires. Hospital de Pediatría "Juan P. Garrahan"; Argentina Fil: Groisman, Boris. Dirección Nacional de Instituto de Investigación. Administración Nacional de Laboratorio e Instituto de Salud "Dr. C. G. Malbrán"; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina Fil: Barbero, Pablo. Dirección Nacional de Instituto de Investigación. Administración Nacional de Laboratorio e Instituto de Salud "Dr. C. G. Malbrán"; Argentina Fil: Bidondo, María Paz. Dirección Nacional de Instituto de Investigación. Administración Nacional de Laboratorio e Instituto de Salud "Dr. C. G. Malbrán"; Argentina Fil: Liascovich, Rosa. Dirección Nacional de Instituto de Investigación. Administración Nacional de Laboratorio e Instituto de Salud "Dr. C. G. Malbrán"; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina Fil: Aiello, Horacio Antonio. Dirección Nacional de Instituto de Investigación. Administración Nacional de Laboratorio e Instituto de Salud "Dr. C. G. Malbrán"; Argentina Fil: Trotta, Marianela. Dirección Nacional de Instituto de Investigación. Administración Nacional de Laboratorio e Instituto de Salud "Dr. C. G. Malbrán"; Argentina Fil: Brun, Paloma Laura. Dirección Nacional de Instituto de Investigación. Administración Nacional de Laboratorio e Instituto de Salud "Dr. C. G. Malbrán"; Argentina |
description |
Patiens with major congenital anomalies diagnosed prenatally should be referred to and delivered in institutions with the appropriate level of complexity, as this reduces morbidity and mortality. We aimed to assess the prevalence and prenatal diagnosis proportion of selected congenital abnormalities and the complexity levels of birth institutions in a sample of public maternity hospitals in Argentina. Data sources were (1) National Congenital Anomalies Registry, covering the period from 2013 to 2021; and (2) Categorization of birth institutions according to their complexity (high or low). Newborns with the following anomalies were selected for analysis: spina bifida, hydrocephalus, critical congenital heart defects, diaphragmatic hernia, gastroschisis, and omphalocele. Prevalences at birth and prenatal diagnosis proportions were calculated according to the birth institution complexity level. A total of 2.214.102 births across 131 institutions were evaluated, with 1.202.311 births in high-complexity institutions and 1.011.791 in low-complexity institutions. The prevalences per 10.000 births and the prenatal diagnosis proportions for the entire sample were: spina bifida 5,40(95%CI 5,10 − 5,71) 68,54%; hydrocephalus 6,96(95% CI 6,62 − 7,32) 78,92%; critical congenital heart defects 11,05(95% CI 10,62 − 11,49) 43,21%; diaphragmatic hernia 3,88(95%CI 3,62 − 4,14) 68,65%; gastroschisis 7,85(95%CI 7,48 − 8,22) 79,27%; omphalocele 2,01(95%CI 1,83 − 2,20) 76,18%. Prevalences and prenatal diagnosis porportions were significantly higher in high-complexity institutions. Prenatal diagnosis and perinatal care networks must be improved to ensure that patients with major congenital anomalies are delivered in high-complexity birth institutions. The prevalence and prenatal diagnosis porportion, stratified by the complexity level of institutions, can serve as management indicators to evaluate improvements in care quality. |
publishDate |
2025 |
dc.date.none.fl_str_mv |
2025-01 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
format |
article |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
http://hdl.handle.net/11336/262864 Astudillo, Analizia; Groisman, Boris; Barbero, Pablo; Bidondo, María Paz; Liascovich, Rosa; et al.; Prenatal diagnosis of congenital anomalies and birth institution complexity levels in Argentina; Springer Nature; Journal of Community Genetics; 16; 2; 1-2025; 161-166 1868-6001 CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/262864 |
identifier_str_mv |
Astudillo, Analizia; Groisman, Boris; Barbero, Pablo; Bidondo, María Paz; Liascovich, Rosa; et al.; Prenatal diagnosis of congenital anomalies and birth institution complexity levels in Argentina; Springer Nature; Journal of Community Genetics; 16; 2; 1-2025; 161-166 1868-6001 CONICET Digital CONICET |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
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info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
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Springer Nature |
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Springer Nature |
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CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas |
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dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
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