Updated EUROCAT guidelines for classification of cases with congenital anomalies.

CAKUT birth defects heart defects multiple congenital anomalies neural tube defects oro-facial clefts syndrome

Journal

Birth defects research
ISSN: 2472-1727
Titre abrégé: Birth Defects Res
Pays: United States
ID NLM: 101701004

Informations de publication

Date de publication:
Feb 2024
Historique:
revised: 18 01 2024
received: 27 03 2023
accepted: 26 01 2024
medline: 16 2 2024
pubmed: 16 2 2024
entrez: 16 2 2024
Statut: ppublish

Résumé

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. 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. The updated EUROCAT subgroups and the updated MCA algorithm are described in detail and the updated version is compared to the previous versions. 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.

Sections du résumé

BACKGROUND 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 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 RESULTS
The updated EUROCAT subgroups and the updated MCA algorithm are described in detail and the updated version is compared to the previous versions.
CONCLUSION 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.

Identifiants

pubmed: 38361485
doi: 10.1002/bdr2.2314
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e2314

Subventions

Organisme : Netherlands Ministry of Public Health, Welfare and Sports
Organisme : European Commission, Joint Research Center in Ispra, Italy

Informations de copyright

© 2024 The Authors. Birth Defects Research published by Wiley Periodicals LLC.

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Auteurs

Jorieke E H Bergman (JEH)

University of Groningen, University Medical Center Groningen, department of Genetics, Groningen, The Netherlands.

Annie Perraud (A)

European Commission, Joint Research Centre (JRC), Ispra, Italy.

Ingeborg Barišić (I)

Children's Hospital Zagreb, Centre of Excellence for Reproductive and Regenerative Medicine, Medical School University of Zagreb, Zagreb, Croatia.

Agnieszka Kinsner-Ovaskainen (A)

European Commission, Joint Research Centre (JRC), Ispra, Italy.

Joan K Morris (JK)

Population Health Research Institute, St George's University of London, London, UK.

David Tucker (D)

Congenital Anomaly Register and Information Service for Wales (CARIS), Public Health Wales, Swansea, UK.

Diana Wellesley (D)

University Hospitals Southampton, Southampton, UK.

Ester Garne (E)

Department of Paediatrics and Adolescent Medicine, Lillebaelt Hospital, University Hospital of Southern Denmark, Kolding, Denmark.

Classifications MeSH