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Infant deaths from congenital anomalies: novel use of Child Death Overview Panel data
Catriona Firth1,2, Emily Petherick3,4, Sam J Oddie1,5
1Bradford Royal Infirmary, Neonatal Unit, Bradford, UK.
Insights
Child Death Overview Panel (CDOP) data showed moderate to perfect agreement with birth cohort data, except for ethnicity. Pakistani infants had the highest infant mortality rates (IMRs), particularly from congenital anomalies (CA), linked to consanguinity.
Area of Science:
- Perinatal epidemiology
- Public health surveillance
- Biostatistics
Background:
- Accurate infant mortality data is crucial for public health interventions.
- Child Death Overview Panels (CDOP) are a key source of this data, but their validity requires assessment.
- Understanding causes of infant death, including congenital anomalies (CA), is vital for targeted prevention strategies.
Purpose of the Study:
- To validate Child Death Overview Panel (CDOP) data against a local birth cohort (Born in Bradford, BiB) and a separate coding system (CODAC).
- To calculate ethnic-specific infant mortality rates (IMRs) using CDOP data.
- To compare characteristics of infants who died from congenital anomalies (CA) versus other causes.
Main Methods:
- Retrospective cohort study of infant deaths in Bradford Metropolitan District (2008-2013).
- Comparison of CDOP data with Born in Bradford (BiB) cohort data for characteristics and cause of death classification.
- Analysis of infant mortality rates (IMRs) stratified by ethnicity and cause of death (CA vs. non-CA).
Main Results:
- Moderate to perfect agreement was found between CDOP and BiB data for most characteristics, with weaker agreement for ethnicity (kappa=0.58).
- Congenital anomalies (CA) were classified similarly by CDOP and CODAC (27/56 deaths).
- Infant mortality rates (IMRs) were highest in Pakistani infants (9.8/1000 live births overall, 5.5/1000 for CA) compared to white British (4.3/1000 overall, 1.3/1000 for CA).
- Infants dying from CA were more likely to be born at term (OR 3.18) and to consanguineous parents (OR 3.28) than those dying from non-CA causes.
Conclusions:
- CDOP data demonstrates reasonable validity for assessing infant mortality, though ethnicity data requires careful interpretation.
- Excess infant mortality among Pakistani infants is partly attributable to a higher incidence of deaths from congenital anomalies (CA).
- Consanguinity appears to be a significant risk factor associated with congenital anomaly deaths in this population.
Objective:
We aimed to assess Child Death Overview Panel (CDOP) data validity, and cause of death classification, by comparison with information from a local birth cohort study (Born in Bradford, BiB), and another cause of death coding system (causes of death and associated conditions-CODAC). We then aimed to use CDOP data to calculate ethnic-specific infant mortality rates (IMRs), and compare characteristics of infants who died of congenital anomalies (CA) with those who died from other causes (non-CA).
Design:
Retrospective cohort study.
Setting:
Bradford Metropolitan District.
Patients:
All infant deaths, 2008 to 2013.
Main Outcome Measures:
Infant mortality rates from CA and non-CA causes.
Results:
315 infant deaths were included, 56 of whom were BiB recruits. Agreement between CDOP and BiB was moderate to perfect for all characteristics except ethnicity, which showed weak agreement (kappa=0.58). The same deaths (27/56) were classified as CA by CDOP and CODAC. IMRs (per 1000 live births, 2009-2013) were highest in Pakistani infants (all causes 9.8, CA cause 5.5) compared with white British (all causes 4.3, CA cause 1.3) and other infants (all causes 5.1, CA cause 1.4). In multivariate analysis, infants who died of CA cause were more likely to have been born at term (OR 3.18) and to consanguineous parents (OR 3.28) than infants who died of non-CA cause.
Conclusions:
Excess Pakistani mortality appears to be partly explained by an excess of deaths from CA, which in this population appears associated with a greater prevalence of consanguinity.
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