Estimating Global Burden of Disease due to congenital anomaly: an analysis of European data

被引:117
|
作者
Boyle, Breidge [1 ,2 ]
Addor, Marie-Claude [3 ]
Arriola, Larraitz [4 ]
Barisic, Ingeborg [5 ]
Bianchi, Fabrizio [6 ]
Csaky-Szunyogh, Melinda [7 ]
de Walle, Hermien E. K. [8 ]
Dias, Carlos Matias [9 ]
Draper, Elizabeth [10 ]
Gatt, Miriam [11 ]
Garne, Ester [12 ]
Haeusler, Martin [13 ]
Kallen, Karin [14 ,15 ]
Latos-Bielenska, Anna [16 ]
McDonnell, Bob [17 ]
Mullaney, Carmel [18 ]
Nelen, Vera [19 ]
Neville, Amanda J. [20 ]
O'Mahony, Mary [21 ]
Queisser-Wahrendorf, Annette [22 ]
Randrianaivo, Hanitra [23 ]
Rankin, Judith [24 ]
Rissmann, Anke [25 ]
Ritvanen, Annukka [26 ]
Rounding, Catherine [27 ]
Tucker, David [28 ]
Verellen-Dumoulin, Christine [29 ]
Wellesley, Diana [30 ,31 ]
Wreyford, Ben [32 ]
Zymak-Zakutnia, Natalia [33 ]
Dolk, Helen [1 ]
机构
[1] Univ Ulster, EUROCAT WHO Collaborating Ctr Surveillance Congeni, Coleraine, Londonderry, North Ireland
[2] Queens Univ Belfast, Sch Nursing & Midwifery, Belfast, Antrim, North Ireland
[3] CHU Vaudois, Div Med Genet, Lausanne, Switzerland
[4] Registro Anomalias Congenitas CAV Subdirecc Salud, San Sebastian, Spain
[5] Univ Zagreb, Childrens Hosp Zagreb, Sch Med, Zagreb, Croatia
[6] CNR, Inst Clin Physiol, Via Moruzzi, Pisa, Italy
[7] Natl Publ Hlth & Med Officer Serv, Hungarian Congenital Abnormal Registry, Budapest, Hungary
[8] Univ Groningen, Univ Med Ctr Groningen, Dept Genet, Groningen, Netherlands
[9] Registo Nacl Anomalias Congenitas, Dept Epidemiol, Av Padre Cruz, Lisbon, Portugal
[10] Univ Leicester, Dept Epidemiol Publ Hlth, East Midlands & South Yorkshire EMSYCAR, Leicester, Leics, England
[11] Dept Hlth Informat & Res, Guardamangia, Malta
[12] Hosp Lillebaelt, Dept Paediat, Kolding, Denmark
[13] Med Univ Graz, Dept Obstet & Gynecol, Graz, Austria
[14] Lund Univ, Inst Clin Sci, Swedish Natl Board Hlth & Welf, Lund, Sweden
[15] Lund Univ, Inst Clin Sci, Dept Reprod Epidemiol, Lund, Sweden
[16] Univ Med Sci, Dept Med Genet, Poznan, Poland
[17] Hlth Serv Execut, Dublin, Ireland
[18] Hlth Serv Execut, Kilkenny, Ireland
[19] PIH, Dept Environm, Antwerp, Province Of Ant, Belgium
[20] Univ Ferrara Corso Giovecca, Azienda Osped, Ferrara, Italy
[21] Hlth Serv Execut, Cork, Ireland
[22] Johannes Gutenberg Univ Mainz, Childrens Hosp Univ Med Ctr, Birth Registry Mainz Model, Mainz, Germany
[23] Ctr Hosp Univ, Register Reunion Isl, St Pierre La Reunion, Reunion, France
[24] Newcastle Univ, Inst Hlth & Soc, Newcastle Upon Tyne, Tyne & Wear, England
[25] Otto von Guericke Univ, Med Fac, Malformat Monitoring Ctr, Magdeburg, Germany
[26] Natl Inst Welf & Hlth THL, Helsinki, Finland
[27] Univ Oxford, Natl Perinatal Epidemiol Unit, Oxford, England
[28] Pubf Hlth Wales, Congenital Anomaly Register & Informat Serv Wales, Swansea, W Glam, Wales
[29] IPG, Ctr Genet Humaine, Ave G Lemaitre, Charleroi, Belgium
[30] Univ Southampton, Fac Med, Southampton, Hants, England
[31] Wessex Clin Genet Serv, Southampton, Hants, England
[32] Univ Bristol, Sch Clin Sci, Bristol, Avon, England
[33] Khmelnytsky Perinatal Ctr, OMNI Net Ukraine Birth Defects Program, Khmelnytsky, Ukraine
关键词
SYSTEMATIC ANALYSIS; PRIMARY PREVENTION; CHILD-MORTALITY; NATIONAL CAUSES; DOWN-SYNDROME; POPULATION; TRENDS; PREVALENCE; COUNTRIES; EUROCAT;
D O I
10.1136/archdischild-2016-311845
中图分类号
R72 [儿科学];
学科分类号
100202 ;
摘要
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.
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收藏
页码:F22 / F28
页数:7
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