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Sex prevalence of major congenital anomalies in the United Kingdom: a national population-based study and international comparison meta-analysis.

ABSTRACT: The aim of this study was to assess sex differences in major congenital anomaly (CA) diagnoses within a national population sample; to examine the influence of sociodemographic and maternal factors on these risks; and to conduct a meta-analysis using estimates from other population-based studies.We conducted a population-based study in a United Kingdom research database of prospectively collected primary care data (The Health Improvement Network) including children born 1990 to 2009 (n?=?794,169) and identified major CA diagnoses using EUROCAT (European Surveillance of Congenital Anomalies) classification. Prevalence ratios (PR) were used to estimate the risk of CA in males compared with females for any CA, system-specific subgroups and specific CA diagnoses. In a subpopulation of children whose medical records were linked to their mothers', we assessed the effect of adjusting for sociodemographic and maternal factors on sex odds ratios. PRs were pooled with measures from previously published studies.The prevalence of any CA was 307/10,000 in males (95% CI, 302-313) and 243/10,000 in females (95% CI, 238-248). Overall the risk of any CA was 26% greater in males (PR (male: female) 1.26, 95% CI, 1.23-1.30) however there was considerable variation across specific diagnoses. The magnitude and direction of risk did not change for any specific CA upon adjustment for sociodemographic and maternal factors. Our PRs were highly consistent with those from previous studies.The overall risk of CA is greater in males than females, although this masked substantial variation by specific diagnoses. Sociodemographic and maternal factors do not appear to affect these risks.

SUBMITTER: Sokal R

PROVIDER: S-EPMC4016755 | biostudies-other | 2014 Feb

REPOSITORIES: biostudies-other

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Sex prevalence of major congenital anomalies in the United Kingdom: a national population-based study and international comparison meta-analysis.

Sokal Rachel R Tata Laila J LJ Fleming Kate M KM

Birth defects research. Part A, Clinical and molecular teratology 20140212 2

<h4>Background</h4>The aim of this study was to assess sex differences in major congenital anomaly (CA) diagnoses within a national population sample; to examine the influence of sociodemographic and maternal factors on these risks; and to conduct a meta-analysis using estimates from other population-based studies.<h4>Methods</h4>We conducted a population-based study in a United Kingdom research database of prospectively collected primary care data (The Health Improvement Network) including chil ...[more]

PMID: 24523198

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Project description:BACKGROUND:The National Neonatal Research Database (NNRD) is a rich repository of pre-defined clinical data extracted at regular intervals from point-of-care, clinician-entered electronic patient records on all admissions to National Health Service neonatal units in England, Wales, and Scotland. We describe population coverage for England and assess data completeness and accuracy. METHODS:We determined population coverage of the NNRD in 2008-2014 through comparison with data on live births in England from the Office for National Statistics. We determined the completeness of seven data items on the NNRD. We assessed the accuracy of 44 data items (16 patient characteristics, 17 processes, 11 clinical outcomes) for infants enrolled in the multi-centre randomised controlled trial, Probiotics in Preterm Study (PiPs). We compared NNRD to PiPs data, the gold standard, and calculated discordancy rates using predefined criteria, and sensitivity, specificity and positive predictive values (PPV) of binary outcomes. RESULTS:The NNRD holds complete population data for England for infants born alive from 25+0 to 31+6 (completed weeks) of gestation; and 70% and 90% for those born at 23 and 24 weeks respectively. Completeness of patient characteristics was over 90%. Data were linked for 2257 episodes of care received by 1258 of the 1310 babies recruited to PiPs. Discordancy rates were <5% for 13/16 patient characteristics (exceptions: mode of delivery 8.7%; maternal ethnicity 10.2%, Lower layer Super Output Area 16.5%); <5% for 9/16 processes (exceptions: medical treatment for Patent ductus arteriosus 6.1%, high-dependency days 10.2%, central line days 11.2%, type of first milk 22.3%; and during first 14 days, summary of types of milk 13.8%; number of days of antibiotics 9.0%; whether antacid given 5.1%); and <5% for 10/11 clinical outcomes (exception: Bronchopulmonary dysplasia, defined as oxygen dependency at 36 weeks postmenstrual age 3.3%). The specificity of NNRD data was >85% for all outcomes; sensitivity ranged from 50-100%; PPV ranged from 58.8 (95% CI 40.8-75.4%) for porencephalic cyst to 99.7 (95% CI 99.2, 99.9%) for survival to discharge. CONCLUSIONS:The completeness and quality of data held in the NNRD is high, providing assurance in relation to use for multiple purposes, including national audit, health service evaluations, quality improvement, and research.

Dataset Information

Sex prevalence of major congenital anomalies in the United Kingdom: a national population-based study and international comparison meta-analysis.

Publications

Sex prevalence of major congenital anomalies in the United Kingdom: a national population-based study and international comparison meta-analysis.

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