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Estimating Global Burden of Disease due to congenital anomaly: an analysis of European data
OBJECTIVE: To validate the estimates of Global Burden of Disease (GBD) due to congenital anomaly for Europe by comparing infant mortality data collected by EUROCAT registries with the WHO Mortality Database, and by assessing the significance of stillbirths and terminations of pregnancy for fetal ano...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Archives of Disease in Childhood
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5750368/ https://www.ncbi.nlm.nih.gov/pubmed/28667189 http://dx.doi.org/10.1136/archdischild-2016-311845 |
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author | Boyle, Breidge Addor, Marie-Claude Arriola, Larraitz Barisic, Ingeborg Bianchi, Fabrizio Csáky-Szunyogh, Melinda de Walle, Hermien E K Dias, Carlos Matias Draper, Elizabeth Gatt, Miriam Garne, Ester Haeusler, Martin Källén, Karin Latos-Bielenska, Anna McDonnell, Bob Mullaney, Carmel Nelen, Vera Neville, Amanda J O’Mahony, Mary Queisser-Wahrendorf, Annette Randrianaivo, Hanitra Rankin, Judith Rissmann, Anke Ritvanen, Annukka Rounding, Catherine Tucker, David Verellen-Dumoulin, Christine Wellesley, Diana Wreyford, Ben Zymak-Zakutnia, Natalia Dolk, Helen |
author_facet | Boyle, Breidge Addor, Marie-Claude Arriola, Larraitz Barisic, Ingeborg Bianchi, Fabrizio Csáky-Szunyogh, Melinda de Walle, Hermien E K Dias, Carlos Matias Draper, Elizabeth Gatt, Miriam Garne, Ester Haeusler, Martin Källén, Karin Latos-Bielenska, Anna McDonnell, Bob Mullaney, Carmel Nelen, Vera Neville, Amanda J O’Mahony, Mary Queisser-Wahrendorf, Annette Randrianaivo, Hanitra Rankin, Judith Rissmann, Anke Ritvanen, Annukka Rounding, Catherine Tucker, David Verellen-Dumoulin, Christine Wellesley, Diana Wreyford, Ben Zymak-Zakutnia, Natalia Dolk, Helen |
author_sort | Boyle, Breidge |
collection | PubMed |
description | OBJECTIVE: To validate the estimates of Global Burden of Disease (GBD) due to congenital anomaly for Europe by comparing infant mortality data collected by EUROCAT registries with the WHO Mortality Database, and by assessing the significance of stillbirths and terminations of pregnancy for fetal anomaly (TOPFA) in the interpretation of infant mortality statistics. DESIGN, SETTING AND OUTCOME MEASURES: EUROCAT is a network of congenital anomaly registries collecting data on live births, fetal deaths from 20 weeks’ gestation and TOPFA. Data from 29 registries in 19 countries were analysed for 2005–2009, and infant mortality (deaths of live births at age <1 year) compared with the WHO Mortality Database. Eight EUROCAT countries were excluded from further analysis on the basis that this comparison showed poor ascertainment of survival status. RESULTS: According to WHO, 17%–42% of infant mortality was attributed to congenital anomaly. In 11 EUROCAT countries, average infant mortality with congenital anomaly was 1.1 per 1000 births, with higher rates where TOPFA is illegal (Malta 3.0, Ireland 2.1). The rate of stillbirths with congenital anomaly was 0.6 per 1000. The average TOPFA prevalence was 4.6 per 1000, nearly three times more prevalent than stillbirths and infant deaths combined. TOPFA also impacted on the prevalence of postneonatal survivors with non-lethal congenital anomaly. CONCLUSIONS: By excluding TOPFA and stillbirths from GBD years of life lost (YLL) estimates, GBD underestimates the burden of disease due to congenital anomaly, and thus declining YLL over time may obscure lack of progress in primary, secondary and tertiary prevention. |
format | Online Article Text |
id | pubmed-5750368 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Archives of Disease in Childhood |
record_format | MEDLINE/PubMed |
spelling | pubmed-57503682018-02-12 Estimating Global Burden of Disease due to congenital anomaly: an analysis of European data Boyle, Breidge Addor, Marie-Claude Arriola, Larraitz Barisic, Ingeborg Bianchi, Fabrizio Csáky-Szunyogh, Melinda de Walle, Hermien E K Dias, Carlos Matias Draper, Elizabeth Gatt, Miriam Garne, Ester Haeusler, Martin Källén, Karin Latos-Bielenska, Anna McDonnell, Bob Mullaney, Carmel Nelen, Vera Neville, Amanda J O’Mahony, Mary Queisser-Wahrendorf, Annette Randrianaivo, Hanitra Rankin, Judith Rissmann, Anke Ritvanen, Annukka Rounding, Catherine Tucker, David Verellen-Dumoulin, Christine Wellesley, Diana Wreyford, Ben Zymak-Zakutnia, Natalia Dolk, Helen Arch Dis Child Fetal Neonatal Ed Original Article OBJECTIVE: To validate the estimates of Global Burden of Disease (GBD) due to congenital anomaly for Europe by comparing infant mortality data collected by EUROCAT registries with the WHO Mortality Database, and by assessing the significance of stillbirths and terminations of pregnancy for fetal anomaly (TOPFA) in the interpretation of infant mortality statistics. DESIGN, SETTING AND OUTCOME MEASURES: EUROCAT is a network of congenital anomaly registries collecting data on live births, fetal deaths from 20 weeks’ gestation and TOPFA. Data from 29 registries in 19 countries were analysed for 2005–2009, and infant mortality (deaths of live births at age <1 year) compared with the WHO Mortality Database. Eight EUROCAT countries were excluded from further analysis on the basis that this comparison showed poor ascertainment of survival status. RESULTS: According to WHO, 17%–42% of infant mortality was attributed to congenital anomaly. In 11 EUROCAT countries, average infant mortality with congenital anomaly was 1.1 per 1000 births, with higher rates where TOPFA is illegal (Malta 3.0, Ireland 2.1). The rate of stillbirths with congenital anomaly was 0.6 per 1000. The average TOPFA prevalence was 4.6 per 1000, nearly three times more prevalent than stillbirths and infant deaths combined. TOPFA also impacted on the prevalence of postneonatal survivors with non-lethal congenital anomaly. CONCLUSIONS: By excluding TOPFA and stillbirths from GBD years of life lost (YLL) estimates, GBD underestimates the burden of disease due to congenital anomaly, and thus declining YLL over time may obscure lack of progress in primary, secondary and tertiary prevention. Archives of Disease in Childhood 2018-01 2017-06-30 /pmc/articles/PMC5750368/ /pubmed/28667189 http://dx.doi.org/10.1136/archdischild-2016-311845 Text en © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted. This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ |
spellingShingle | Original Article Boyle, Breidge Addor, Marie-Claude Arriola, Larraitz Barisic, Ingeborg Bianchi, Fabrizio Csáky-Szunyogh, Melinda de Walle, Hermien E K Dias, Carlos Matias Draper, Elizabeth Gatt, Miriam Garne, Ester Haeusler, Martin Källén, Karin Latos-Bielenska, Anna McDonnell, Bob Mullaney, Carmel Nelen, Vera Neville, Amanda J O’Mahony, Mary Queisser-Wahrendorf, Annette Randrianaivo, Hanitra Rankin, Judith Rissmann, Anke Ritvanen, Annukka Rounding, Catherine Tucker, David Verellen-Dumoulin, Christine Wellesley, Diana Wreyford, Ben Zymak-Zakutnia, Natalia Dolk, Helen Estimating Global Burden of Disease due to congenital anomaly: an analysis of European data |
title | Estimating Global Burden of Disease due to congenital anomaly: an analysis of European data |
title_full | Estimating Global Burden of Disease due to congenital anomaly: an analysis of European data |
title_fullStr | Estimating Global Burden of Disease due to congenital anomaly: an analysis of European data |
title_full_unstemmed | Estimating Global Burden of Disease due to congenital anomaly: an analysis of European data |
title_short | Estimating Global Burden of Disease due to congenital anomaly: an analysis of European data |
title_sort | estimating global burden of disease due to congenital anomaly: an analysis of european data |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5750368/ https://www.ncbi.nlm.nih.gov/pubmed/28667189 http://dx.doi.org/10.1136/archdischild-2016-311845 |
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