Updated EUROCAT guidelines for classification of cases with congenital anomalies

IF 1.6 4区医学 Q4 DEVELOPMENTAL BIOLOGY

Birth Defects Research Pub Date : 2024-02-16 DOI:10.1002/bdr2.2314

Jorieke E. H. Bergman, Annie Perraud, Ingeborg Barišić, Agnieszka Kinsner-Ovaskainen, Joan K. Morris, David Tucker, Diana Wellesley, Ester Garne

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引用次数: 0

Abstract

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.

Conclusion

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.

查看原文本刊更多论文

更新的 EUROCAT 先天性畸形病例分类指南。

背景：在流行病学研究中，对先天性畸形进行精确和正确的分类非常重要，这不仅是为了根据病因进行分类，也是为了将类似的先天性畸形归为一类，为监测和研究创建同质亚组。本文介绍了更新后的EUROCAT（欧洲先天性异常监测）先天性异常分组和更新后的多发性先天性异常（MCA）算法，并提供了修订的基本论据：方法：介绍了 EUROCAT 方法。此外，我们还展示了如何验证修订后的EUROCAT亚组和MCA算法，它们均基于国际疾病分类（ICD10/ICD9）代码：结果：详细介绍了更新后的EUROCAT亚组和MCA算法，并将更新后的版本与之前的版本进行了比较：结论：EUROCAT 亚组和 MCA 算法为先天性异常研究和先天性异常流行病学监测提供了标准化和明确的方法，以促进致畸暴露的识别，并评估一级预防和产前筛查政策的影响。EUROCAT分组和MCA算法可通过EUROCAT数据库管理软件免费提供给其他研究人员。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Birth Defects Research Medicine-Embryology

CiteScore

3.60

自引率

9.50%

发文量

153

期刊介绍： The journal Birth Defects Research publishes original research and reviews in areas related to the etiology of adverse developmental and reproductive outcome. In particular the journal is devoted to the publication of original scientific research that contributes to the understanding of the biology of embryonic development and the prenatal causative factors and mechanisms leading to adverse pregnancy outcomes, namely structural and functional birth defects, pregnancy loss, postnatal functional defects in the human population, and to the identification of prenatal factors and biological mechanisms that reduce these risks. Adverse reproductive and developmental outcomes may have genetic, environmental, nutritional or epigenetic causes. Accordingly, the journal Birth Defects Research takes an integrated, multidisciplinary approach in its organization and publication strategy. The journal Birth Defects Research contains separate sections for clinical and molecular teratology, developmental and reproductive toxicology, and reviews in developmental biology to acknowledge and accommodate the integrative nature of research in this field. Each section has a dedicated editor who is a leader in his/her field and who has full editorial authority in his/her area.