Evidence map›Paper›PMID 39838159›Full record

ArticleJournal of community genetics2025

Prenatal diagnosis of congenital anomalies and birth institution complexity levels in Argentina.

Analizia Astudillo, Boris Groisman, Pablo Barbero, María Paz Bidondo, Rosa Liascovich, Horacio Aiello, Marianela Trotta, Paloma Brun

Abstract read
In one paragraph

Article in Journal of community genetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Analizia AstudilloPrograma de Diagnóstico y Tratamiento Fetal, Unidad de Cuidados Intensivos Neonatales, Hospital de Pediatría Prof. Dr. Juan P. Garrahan, Buenos Aires, Argentina.ORCID http://orcid.org/0009-0000-5077-9153
Boris GroismanRed Nacional de Anomalías Congénitas (RENAC), Instituto Nacional de Epidemiología, ANLIS Malbrán, Buenos Aires, Argentina.ORCID http://orcid.org/0000-0001-6263-2562
Pablo BarberoRed Nacional de Anomalías Congénitas (RENAC), Instituto Nacional de Epidemiología, ANLIS Malbrán, Buenos Aires, Argentina.ORCID http://orcid.org/0000-0002-6026-744X
María Paz BidondoRed Nacional de Anomalías Congénitas (RENAC), Instituto Nacional de Epidemiología, ANLIS Malbrán, Buenos Aires, Argentina.ORCID http://orcid.org/0000-0002-4792-4775
Rosa LiascovichRed Nacional de Anomalías Congénitas (RENAC), Instituto Nacional de Epidemiología, ANLIS Malbrán, Buenos Aires, Argentina.ORCID http://orcid.org/0000-0002-7953-3197
Horacio AielloRed Nacional de Anomalías Congénitas (RENAC), Instituto Nacional de Epidemiología, ANLIS Malbrán, Buenos Aires, Argentina.
Marianela TrottaRed Nacional de Anomalías Congénitas (RENAC), Instituto Nacional de Epidemiología, ANLIS Malbrán, Buenos Aires, Argentina.
Paloma BrunRed Nacional de Anomalías Congénitas (RENAC), Instituto Nacional de Epidemiología, ANLIS Malbrán, Buenos Aires, Argentina. brunpaloma@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

Congenital anomaliesPerinatal carePrenatal diagnosisPublic health

Identifiers

PMID39838159
PMCPMC11979027

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.