Addor MCDivision of Medical Genetics, CHUV, Lausanne, Switzerland.
Barisic IDepartment of Medical Genetics and Reproductive Health, Children's University Hospital Zagreb, Croatia.
de Walle HEurocat Northern Netherlands, University of Groningen, University Medical Center Groningen, Department of Genetics, Groningen, the Netherlands.
Gatt MDepartment of Health Information and Research, Guardamangia, Malta.
Klungsoyr KMedical Birth Registry of Norway, the Norwegian Institute of Public Health and Department of Global Public Health and Primary Care, University of Bergen, Norway.
Khoshnood BParis Registry of Congenital Anomalies, Obstetrical, Perinatal and Pediatric Epidemiology Research Team, Center for Biostatistics and Epidemiology, INSERM U1153, Maternité de Port-Royal, PARIS, France.
Latos-Bielenska APolish Registry of Congenital Malformations, Department of Medical Genetics, Poznan, Poland.
Nelen VProvinciaal Instituut voor Hygiene (PIH), Antwerp, Belgium.
Neville AJIMER Registry (Emilia Romagna Registry of Birth Defects), Centre for Clinical and Epidemiological Research, University of Ferrara and Azienda Ospedaliero Univerisitarion di Ferrara, Italy.
O'Mahony MHealth Service Executive, Cork, Ireland.
Pierini AEpidemiology and Health Promotion Macro-Area Working Group, Unit of Environmental Epidemiology and Disease Registries, CNR Institute of Clinical Physiology, Pisa, Italy.
Tucker DCARIS - Congenital Anomaly Register and Information Service for Wales, Public Health Wales, Swansea, United Kingdom.
Wiesel AMainz Model Birth Registry, University Children's Hospital Mainz, Germany.
Dolk HCentre for Maternal, Fetal and Infant Research, Institute of Nursing and Health Research, Ulster University, United Kingdom. h.dolk@ulster.ac.uk.
English
AIMS To evaluate congenital anomaly (CA)-medication exposure associations produced by the new EUROmediCAT signal detection system and determine which require further investigation.
METHODS Data from 15 EUROCAT registries (1995-2011) with medication exposures at the chemical substance (5th level of Anatomic Therapeutic Chemical classification) and chemical subgroup (4th level) were analysed using a 50% false detection rate. After excluding antiepileptics, antidiabetics, antiasthmatics and SSRIs/psycholeptics already under investigation, 27 associations were evaluated. If evidence for a signal persisted after data validation, a literature review was conducted for prior evidence of human teratogenicity.
RESULTS Thirteen out of 27 CA-medication exposure signals, based on 389 exposed cases, passed data validation. There was some prior evidence in the literature to support six signals (gastroschisis and levonorgestrel/ethinylestradiol (OR 4.10, 95% CI 1.70-8.53; congenital heart disease/pulmonary valve stenosis and nucleoside/tide reverse transcriptase inhibitors (OR 5.01, 95% CI 1.99-14.20/OR 28.20, 95% CI 4.63-122.24); complete absence of a limb and pregnen (4) derivatives (OR 6.60, 95% CI 1.70-22.93); hypospadias and pregnadien derivatives (OR 1.40, 95% CI 1.10-1.76); hypospadias and synthetic ovulation stimulants (OR 1.89, 95% CI 1.28-2.70). Antipropulsives produced a signal for syndactyly while the literature revealed a signal for hypospadias. There was no prior evidence to support the remaining six signals involving the ordinary salt combinations, propulsives, bulk-forming laxatives, hydrazinophthalazine derivatives, gonadotropin releasing hormone analogues and selective serotonin agonists.
CONCLUSION Signals which strengthened prior evidence should be prioritized for further investigation, and independent evidence sought to confirm the remaining signals. Some chance associations are expected and confounding by indication is possible.