Redes internacionais de colaboração para a vigilância das anomalias congênitas: uma revisão narrativa

Cardoso-dos-Santos, Augusto César; Magalhães, Vivyanne Santiago; Medeiros-de-Souza, Ana Cláudia; Bremm, João Matheus; Alves, Ronaldo Fernandes Santos; Araújo, Valdelaine Etelvina Miranda de; Macário, Eduardo Marques; Oliveira, Wanderson Kleber de; França, Giovanny Vinícius Araújo de

doi:10.5123/s1679-49742020000400003

Cited by 12 publications

(6 citation statements)

References 19 publications

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“…The construction of networks of institutions for the study of causes, epidemiological surveillance, and proposals for preventive measures for congenital anomalies has been taking place in Latin America and the rest of the world for a long time (Bermejo‐Sánchez et al, 2018; Cardoso‐dos‐Santos et al, 2020). In low‐ and middle‐income countries, these constructions are hampered by the lack of continuity of technical staff in charge of implementing public policies, as ReLAMC experienced through its relationship with the registries.…”

Section: Discussionmentioning

confidence: 99%

The Latin American network for congenital malformation surveillance: ReLAMC

Orioli

Dolk

López-Camelo

et al. 2020

American J of Med Genetics Pt C

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The early detection of congenital anomaly epidemics occurs when comparing current with previous frequencies in the same population. The success of epidemiologic surveillance depends on numerous factors, including the accuracy of the rates available in the base period, wide population coverage, and short periodicity of analysis. This study aims to describe the Latin American network of congenital malformation surveillance: ReLAMC, created to increase epidemiologic surveillance in Latin America. We describe the main steps, tasks, strategies used, and preliminary results. From 2017 to 2019, five national registries (Argentina [RENAC], Brazil [SINASC/SIM‐BRS], Chile [RENACH], Costa Rica [CREC], Paraguay [RENADECOPY‐PNPDC]), six regional registries (Bogotá [PVSDC‐Bogota], Cali [PVSDC‐Cali], Maule [RRMC SSM], Nicaragua [SVDC], Nuevo‐León [ReDeCon HU], São Paulo [SINASC/SIM‐MSP]) and the ECLAMC hospital network sent data to ReLAMC on a total population of 9,152,674 births, with a total of 101,749 malformed newborns (1.1%; 95% CI 1.10–1.12). Of the 9,000,651 births in countries covering both live and stillbirths, 88,881 were stillborn (0.99%; 95% CI 0.98–0.99), and among stillborns, 6,755 were malformed (7.61%; 95% CI 7.44–7.79). The microcephaly rate was 2.45 per 10,000 births (95% CI 2.35–2.55), hydrocephaly 3.03 (2.92–3.14), spina bifida 2.89 (2.78–3.00), congenital heart defects 15.53 (15.27–15.79), cleft lip 2.02 (1.93–2.11), cleft palate and lip 2.77 (2.66–2.88), talipes 2.56 (2.46–2.67), conjoined twins 0.16 (0.14–0.19), and Down syndrome 5.33 (5.18–5.48). Each congenital anomaly showed heterogeneity in prevalence rates among registries. The harmonization of data in relation to operational differences between registries is the next step in developing the common ReLAMC database.

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Section: Discussionmentioning

confidence: 99%

The Latin American network for congenital malformation surveillance: ReLAMC

Orioli

Dolk

López-Camelo

et al. 2020

American J of Med Genetics Pt C

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“…The following sources of information were used: ICD-10, published in 2007 and currently in force in Brazil; ICD-11, released by WHO in 2019, to be implemented with effect from 2022; congenital anomalies monitored by selected surveillance models, identified by means of a narrative literature review; 7 and a repository/information base on rare diseases, namely Orphanet. 8 The codes were retrieved from the different sources in December 2019.…”

Section: Building the Listmentioning

confidence: 99%

Anomalias congênitas na perspectiva da vigilância em saúde: compilação de uma lista com base na CID-10

Bremm¹,

Cardoso-dos-Santos²,

Magalhães³

et al. 2020

Preprint

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Objective: To propose a list of congenital anomalies having corresponding codes in the International Statistical Classification of Diseases and Related Health Problems, 10 th Revision (ICD-10), with the aim of applying it in health surveillance. Methods: In December 2019, the following data sources were searched: ICD-10; ICD-11; anomalies monitored by three surveillance programs; and a database of rare diseases (Orphanet). Anomalies were retrieved from these data sources, processed to check for correspondence with ICD-10 and reviewed manually to compile the list. Results: 898 codes were identified, of which 619 (68.9%) were contained in ICD-10 Chapter XVII. Of the 279 codes contained in other chapters, 19 were exclusive to the ICD-11 search, 72 to the surveillance programs, 79 to Orphanet and 36 to the search for terms in ICD-10. Conclusion: The codes contained in ICD-10 Chapter XVII do not capture the totality of congenital anomalies, indicating the need to adopt an expanded list.

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“…Due to the increased life expectancy of people born with congenital malformations and the relationship of most stillbirths and neonatal mortality with malformations ( 4 ), this topic has gained increasing attention and importance in public health. Thus, surveillance and notification programs are important tools for monitoring the prevalence and analyzing data to identify possible causes and consequences of congenital malformations, in addition to providing data to refer, structure and evaluate prevention and treatment programs ( 5 ).…”

Section: Introductionmentioning

confidence: 99%

“…Currently, there are large networks of information exchange to disseminate these findings, with the most relevant being the Latin American Network of Congenital Malformation Surveillance (ReLAMC), the Global Health Observatory (GHO), the European Surveillance of Congenital Anomalies (EUROCAT) and the International Clearinghouse of Birth Defects Surveillance and Research (ICBDSR) ( 5 ).…”

Section: Introductionmentioning

confidence: 99%

Glycemic and nonglycemic mechanisms of congenital malformations in hyperglycemic pregnancies: a narrative review

Negrato¹,

Marques²,

Leite³

et al. 2022

Archives of Endocrinology and Metabolism

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Congenital malformations are more frequently found among children born to mothers with diabetes than in the background population. There are several complex mechanisms involved in the development of congenital malformations in the offspring of mothers with hyperglycemia, such as the overexpression of glucose transporters (GLUTs) 1 and 2, the increased activity of the hexosamine biosynthetic pathway and the reduced expression of the PAX3 gene with a consequent increase in p53 protein expression. These alterations can lead to increased glucose and free radical concentrations in the embryo, thus promoting the process of apoptosis and causing malformation. The most frequent malformations found in the offspring of mothers with diabetes are heart and neural tube defects, urinary tract and kidney malformations, and cleft lip with or without cleft palate. Strict glycemic control should be obtained before and during pregnancy, aiming to avoid or minimize the risk of congenital malformations in the offspring. Beyond hyperglycemia, several factors may also be associated with increased risks of malformations in the offspring of these women, such as obesity, multiple pregnancies, advanced maternal age, folic acid deficiency, use of angiotensin converting enzyme inhibitors and angiotensin receptor blockers, assisted reproduction techniques, and exposure to different types of environmental pollutants.

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Redes internacionais de colaboração para a vigilância das anomalias congênitas: uma revisão narrativa

Cited by 12 publications

References 19 publications

The Latin American network for congenital malformation surveillance: ReLAMC

The Latin American network for congenital malformation surveillance: ReLAMC

Anomalias congênitas na perspectiva da vigilância em saúde: compilação de uma lista com base na CID-10

Glycemic and nonglycemic mechanisms of congenital malformations in hyperglycemic pregnancies: a narrative review

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