BACKGROUND: Precise and correct classification of congenital anomalies is important in epidemiological studies, not only to classify according to etiology but also to group similar congenital anomalies together, to create homogeneous subgroups for surveillance and research. This paper presents the updated EUROCAT (European surveillance of congenital anomalies) subgroups of congenital anomalies and the updated multiple congenital anomaly (MCA) algorithm and provides the underlying arguments for the revisions.
METHODS: The EUROCAT methodology is described. In addition, we show how we validated the revised EUROCAT subgroups and MCA algorithm, which are both based on the International Classification of Diseases (ICD10/ICD9) codes.
RESULTS: The updated EUROCAT subgroups and the updated MCA algorithm are described in detail and the updated version is compared to the previous versions.
CONCLUSIONS: The EUROCAT subgroups and MCA algorithm provide a standardized and clear methodology for congenital anomaly research and epidemiological surveillance of congenital anomalies in order to facilitate the identification of teratogenic exposures and to assess the impact of primary prevention and prenatal screening policies. The EUROCAT subgroups and MCA algorithm are made freely available for other researchers via the EUROCAT Database Management Software.

Objective: We sought to examine the concordance of prenatally diagnosed congenital cardiac disease with postnatal echocardiography.Study design: Patients who underwent fetal echocardiograms performed by pediatric cardiologists at a single referral center from January to December 2014 were reviewed. Fetal echocardiography exams were performed in accordance with guidelines by the American Institute of Ultrasound in Medicine (AIUM) and the American Heart Association (AHA) guidelines (2013 and 2014, respectively). The concordance of prenatal diagnosis was compared to postnatal echocardiograms.Result: One hundred and six patients were included. Overall, the prenatal diagnosis precisely matched the postnatal diagnosis in 69.8%, minor discrepancies were seen in 14.2% and major differences were seen in 16% of cases. Three cases with major differences resulted in a more guarded postnatal prognosis; all three were fetuses with complex disease where the additional finding of total anomalous pulmonary venous return (TAPVR) was missed.Conclusion: Fetal echocardiograms performed in our specialized fetal cardiology program are in high agreement with postnatal diagnosis of congenital cardiac disease. A worse postnatal prognosis is uncommon. Emphasis on pulmonary venous imaging in complex congenital heart disease is vital.

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