Maja Hellfritzsch1, Lotte Rasmussen2, Jesper Hallas2, Anton Pottegård2. 1. Clinical Pharmacology and Pharmacy, Department of Public Health, University of Southern Denmark, J.B. Winsløws Vej 19, 2, 5000, Odense C, Denmark. mmhellfritzsch@health.sdu.dk. 2. Clinical Pharmacology and Pharmacy, Department of Public Health, University of Southern Denmark, J.B. Winsløws Vej 19, 2, 5000, Odense C, Denmark.
Abstract
INTRODUCTION: Knowledge on adverse effects (AEs) related to non-vitamin K antagonist oral anticoagulants (NOACs) in real-world populations is sparse. OBJECTIVE: Our objective was to identify signals of potential AEs in patients with atrial fibrillation (AF) initiating NOAC treatment using a hypothesis-free screening approach. METHODS: Using the nationwide Danish registries, we identified patients with AF initiating dabigatran, rivaroxaban, or apixaban between 2011 and 2015 (n = 50,627). Applying a symmetry analysis design, we screened for AEs of NOAC, as reflected by new drug treatments, incident diagnoses, or procedures. For signals with the lowest number needed for one additional patient to be harmed (NNTH), we evaluated whether they likely represented genuine AEs or other types of associations. Signals assessed as potential AEs were grouped into five categories for analysis of effect modification according to patient and drug characteristics. RESULTS: Of the identified signals, 61 were classified as potential AEs. Most signals could be categorized as the following types of AEs: bleedings, non-bleeding gastrointestinal symptoms, mental disease, urinary tract disorders, and musculoskeletal symptoms. Older age and first-ever use of anticoagulants was associated with strengthening of all "NOAC-adverse effect" associations. Conversely, use of low-dose NOAC and apixaban led to attenuation of most associations. CONCLUSION: Through a symmetry analysis-based hypothesis-free screening of large-scale healthcare databases, we were able to confirm well-established AEs of NOAC therapy in clinical practice as well as potential AEs that deserve further investigation.
INTRODUCTION: Knowledge on adverse effects (AEs) related to non-vitamin K antagonist oral anticoagulants (NOACs) in real-world populations is sparse. OBJECTIVE: Our objective was to identify signals of potential AEs in patients with atrial fibrillation (AF) initiating NOAC treatment using a hypothesis-free screening approach. METHODS: Using the nationwide Danish registries, we identified patients with AF initiating dabigatran, rivaroxaban, or apixaban between 2011 and 2015 (n = 50,627). Applying a symmetry analysis design, we screened for AEs of NOAC, as reflected by new drug treatments, incident diagnoses, or procedures. For signals with the lowest number needed for one additional patient to be harmed (NNTH), we evaluated whether they likely represented genuine AEs or other types of associations. Signals assessed as potential AEs were grouped into five categories for analysis of effect modification according to patient and drug characteristics. RESULTS: Of the identified signals, 61 were classified as potential AEs. Most signals could be categorized as the following types of AEs: bleedings, non-bleeding gastrointestinal symptoms, mental disease, urinary tract disorders, and musculoskeletal symptoms. Older age and first-ever use of anticoagulants was associated with strengthening of all "NOAC-adverse effect" associations. Conversely, use of low-dose NOAC and apixaban led to attenuation of most associations. CONCLUSION: Through a symmetry analysis-based hypothesis-free screening of large-scale healthcare databases, we were able to confirm well-established AEs of NOAC therapy in clinical practice as well as potential AEs that deserve further investigation.
Authors: Maja Hellfritzsch; Lea Maria Rønneberg Hyllested; Line Meegaard; Alexander Wiberg-Hansen; Erik Lerkevang Grove; Anton Pottegård Journal: Basic Clin Pharmacol Toxicol Date: 2017-03-08 Impact factor: 4.080
Authors: Jesper Hallas; Rene Depont Christensen; Til Stürmer; Anton Pottegård Journal: Pharmacoepidemiol Drug Saf Date: 2014-04-30 Impact factor: 2.890
Authors: Zachary D Hale; Xiowen Kong; Brian Haymart; Xiaokui Gu; Eva Kline-Rogers; Steve Almany; Jay Kozlowski; Gregory D Krol; Scott Kaatz; James B Froehlich; Geoffrey D Barnes Journal: J Thromb Thrombolysis Date: 2017-02 Impact factor: 2.300
Authors: Graham A Walker; Paul A Heidenreich; Ciaran S Phibbs; Alan S Go; Victor Y Chiu; Susan K Schmitt; Lakshmi Ananth; Susan M Frayne Journal: Am J Manag Care Date: 2011-09 Impact factor: 2.229
Authors: Susan K Schmitt; Mintu P Turakhia; Ciaran S Phibbs; Rudolf H Moos; Dan Berlowitz; Paul Heidenreich; Vicotr Y Chiu; Alan S Go; Sarah A Friedman; Claire T Than; Susan M Frayne Journal: Am J Manag Care Date: 2015-11-01 Impact factor: 2.229
Authors: Renate B Schnabel; Matthias Michal; Sandra Wilde; Jörg Wiltink; Philipp S Wild; Christoph R Sinning; Edith Lubos; Francisco M Ojeda; Tanja Zeller; Thomas Munzel; Stefan Blankenberg; Manfred E Beutel Journal: PLoS One Date: 2013-12-04 Impact factor: 3.240
Authors: Ann S Doherty; Faiza Shahid; Frank Moriarty; Fiona Boland; Barbara Clyne; Tobias Dreischulte; Tom Fahey; Seán P Kennelly; Emma Wallace Journal: Pharmacol Res Perspect Date: 2022-10
Authors: Scott Martin Vouri; Xinyi Jiang; Todd M Manini; Laurence M Solberg; Carl Pepine; Daniel C Malone; Almut G Winterstein Journal: JAMA Netw Open Date: 2019-12-02