Triptans and serious adverse vascular events: Data mining of the FDA Adverse Event Reporting System database

摘要

Aim: The aim of this article is to investigate the vascular safety profile of triptans through an analysis of the United States Food and Drug Administration Adverse Event Reporting System (FDA-AERS) database with a special focus on serious and unexpected adverse events. Methods: A caseon-case analysis was performed on the reports entered in the FDA-AERS from 2004 to 2010: Cases were reports with at least one event included in the MedDRA system organ classes 'Cardiac disorder' or 'Vascular disorders', whereas non-cases were all the remaining reports. Co-reported cardiovascular drugs were used as a proxy of cardiovascular risk and the adjusted reporting odds ratio (adj.ROR) with 95% confidence intervals (95% CI) was calculated. Disproportionality signals were defined as adj.ROR value >1. Adverse events were considered unexpected if not mentioned on the relevant label. Results: Among 2,131,688 reports, 7808 concerned triptans. Cases were 2593 among triptans and 665,940 for all other drugs. Unexpected disproportionality signals were found in the following high-level terms of the MedDRA hierarchy: 'Cerebrovascular and spinal necrosis and vascular insufficiency' (103 triptan cases), 'Aneurysms and dissections non-site specific' (15), 'Pregnancy-associated hypertension' (10), 'Reproductive system necrosis and vascular insufficiency' (3). Discussion: Our analysis revealed three main groups of unexpected associations between triptans and serious vascular events: ischaemic cerebrovascular events, aneurysms and artery dissections, and pregnancy-related vascular events. A case-by-case assessment is needed to confirm or disprove their plausibility and large-scale analytical studies should be planned for risk rate estimation. In the meantime, clinicians should pay special attention to migraine diagnosis and vascular risk assessment before prescribing a triptan, also promptly reporting any unexpected event to pharmacovigilance systems.