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      Improving case ascertainment of congenital anomalies: findings from a prospective birth cohort with detailed primary care record linkage

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          Abstract

          Background

          Congenital anomalies (CAs) are a common cause of infant death and disability. We linked children from a large birth cohort to a routine primary care database to detect CA diagnoses from birth to age 5 years. There could be evidence of underreporting by CA registries as they estimate that only 2% of CA registrations occur after age 1 year.

          Methods

          CA cases were identified by linking children from a prospective birth cohort to primary care records. CAs were classified according to the European Surveillance of CA guidelines. We calculated rates of CAs by using a bodily system group for children aged 0 to <5 years, together with risk ratios (RRs) with 95% CIs for maternal risk factors.

          Results

          Routinely collected primary care data increased the ascertainment of children with CAs from 432.9 per 10 000 live births under 1 year to 620.6 per 10 000 live births under 5 years. Consanguinity was a risk factor for Pakistani mothers (multivariable RR 1.87, 95% CI 1.46 to 2.83), and maternal age >34 years was a risk factor for mothers of other ethnicities (multivariable RR 2.19, 95% CI 1.36 to 3.54). Education was associated with a lower risk (multivariable RR 0.78, 95% CI 0.62 to 0.98).

          Conclusion

          98% of UK CA registrations relate to diagnoses made in the first year of life. Our data suggest that this leads to incomplete case ascertainment with a further 30% identified after age 1 year in our study. Risk factors for CAs identified up to age 1 year persist up to 5 years. National registries should consider using routine data linkage to provide more complete case ascertainment after infancy.

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          Most cited references17

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          Paper 4: EUROCAT statistical monitoring: identification and investigation of ten year trends of congenital anomalies in Europe.

          As part of EUROCAT's surveillance of congenital anomalies in Europe, a statistical monitoring system has been developed to detect recent clusters or long-term (10 year) time trends. The purpose of this article is to describe the system for the identification and investigation of 10-year time trends, conceived as a "screening" tool ultimately leading to the identification of trends which may be due to changing teratogenic factors.
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            Delayed diagnosis of critical congenital heart defects: trends and associated factors.

            We aimed to examine trends in timing of diagnosis of critical congenital heart defects (CCHDs) and factors associated with delayed diagnosis (diagnosis after discharge home following delivery).
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              Congenital anomaly surveillance in England--ascertainment deficiencies in the national system.

              Firstly, to assess the completeness of ascertainment in the National Congenital Anomaly System (NCAS), the basis for congenital anomaly surveillance in England and Wales, and its variation by defect, geographical area, and socioeconomic deprivation. Secondly, to assess the impact of the lack of data on pregnancies terminated because of fetal anomaly. Comparison of the NCAS with four local congenital anomaly registers in England. Four regions in England covering some 109,000 annual births. Cases of congenital anomalies registered in the NCAS (live births and stillbirths) and independently registered in the four local registers (live births, stillbirths, fetal losses from 20 weeks' gestation, and pregnancies terminated after prenatal diagnosis of fetal anomaly). The ratio of cases identified by the national register to those in local registry files, calculated for different specified anomalies, for whole registry areas, and for hospital catchment areas within registry boundaries. Ascertainment by the NCAS (compared with data from local registers, from which terminations of pregnancy were removed) was 40% (34% for chromosomal anomalies and 42% for non-chromosomal anomalies) and varied markedly by defect, by local register, and by hospital catchment area, but not by area deprivation. When terminations of pregnancy were included in the register data, ascertainment by NCAS was 27% (19% for chromosomal anomalies and 31% for non-chromosomal anomalies), and the geographical variation was of a similar magnitude. The surveillance of congenital anomalies in England is currently inadequate because ascertainment to the national register is low and non-uniform and because no data exist on termination of pregnancy resulting from prenatal diagnosis of fetal anomaly.
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                Author and article information

                Journal
                BMJ Paediatr Open
                BMJ Paediatr Open
                bmjpo
                bmjpo
                BMJ Paediatrics Open
                BMJ Publishing Group (BMA House, Tavistock Square, London, WC1H 9JR )
                2399-9772
                2017
                12 November 2017
                : 1
                : 1
                : e000171
                Affiliations
                [1 ]departmentFaculty of Health Studies , University of Bradford , Bradford, UK
                [2 ]departmentBradford Institute for Health Research , Bradford Royal Infirmary , Bradford, UK
                [3 ]departmentDivision of Epidemiology and Biostatistics , University of Leeds , Leeds, UK
                [4 ]departmentCentre for Comparative Genomics , Murdoch University , Perth, Western Australia, Australia
                [5 ]departmentSchool of Medical and Health Sciences , Edith Cowan University , Perth, Western Australia, Australia
                [6 ]departmentInstitute of Biomedical and Clinical Sciences , University of Leeds , Leeds, UK
                Author notes
                [Correspondence to ] Chrissy Bishop; c.bishop1@ 123456bradford.ac.uk
                Article
                bmjpo-2017-000171
                10.1136/bmjpo-2017-000171
                5862215
                0e4158d3-39a5-4bcb-8161-91b7a558025a
                © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2017. 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/

                History
                : 27 June 2017
                : 12 October 2017
                : 18 October 2017
                Categories
                Original Article
                Congenital Abnorm
                1506
                Custom metadata
                unlocked

                comm child health,congenital abnorm,data collection
                comm child health, congenital abnorm, data collection

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