Abstract
Objective. To compare the distribution of congenital anomalies within the VACTERL association (vertebral defects, anal atresia, cardiac, tracheoesophageal, renal, and limb abnormalities) between patients exposed to tumor necrosis factor-alpha (TNF-alpha) antagonist and the general population.
Methods. Analysis for comparison of proportional differences to a previous publication between anomaly subgroups, according to subgroup definitions of the European Surveillance of Congenital Anomalies (EUROCAT), a population-based database.
Results. Most EUROCAT subgroups belonging to the VACTERL association contained only one or 2 records of TNF-a antagonist exposure, so comparison of proportions was imprecise. Only the category "limb abnormalities" showed a significantly higher proportion in the general population.
Conclusion. The high number of congenital anomalies belonging to the VACTERL association from a report of pregnancies exposed to TNF-alpha antagonists could not be confirmed using a population-based congenital anomaly database. (First Release July 1 2011; J Rheumatol 2011;38:1871-4; doi:10.3899/jrheum.101316)
Original language | English |
---|---|
Pages (from-to) | 1871-1874 |
Number of pages | 5 |
Journal | Journal of Rheumatology |
Volume | 38 |
Issue number | 9 |
DOIs | |
Publication status | Published - Sep-2011 |
Keywords
- VACTERL ASSOCIATION
- EUROCAT
- TUMOR NECROSIS FACTOR ANTAGONISTS
- BIRTH DEFECT
- SAFETY
- VATER ASSOCIATION
- SPECTRUM
- DEFECTS
Datasets
-
EUROCAT Northern Netherlands
van Kammen-Bergman, J. (Creator), de Walle, H. (Creator), Bakker, M. (Creator), Lutke, R. (Creator), Siemensma-Mühlenberg, N. (Creator), Siemensma-Mühlenberg, N. (Creator), Zetstra-van der Woude, P. (Creator) & Doornbos, F. (Creator), University of Groningen, 1981
https://www.umcg.nl/NL/Zorg/ouders/Deelname_wetenschappelijk_onderzoek/OnderzoekNaarAangeborenAandoeningen/Paginas/default.aspx and one more link, https://www.umcg.nl/SiteCollectionDocuments/Zorg/Ouders/Eurocat/Registry_description_NNL_final_version_jan2018.pdf (show fewer)
Dataset