Effectiveness and Safety of Off-label Dosing of Non-vitamin K Antagonist Anticoagulant for Atrial Fibrillation in Asian Patients.
Kwang-No LeeJong-Il ChoiKi Yung BooDo Young KimYun Gi KimSuk-Kyu OhYong-Soo BaekDae In LeeSeung-Young RohJaemin ShimJin Seok KimYoung-Hoon KimPublished in: Scientific reports (2020)
Non-vitamin K antagonist anticoagulants (NOACs) have been used to prevent thromboembolism in patients with atrial fibrillation (AF) and shown favorable clinical outcomes compared with warfarin. However, off-label use of NOACs is frequent in practice, and its clinical results are inconsistent. Furthermore, the quality of anticoagulation available with warfarin is often suboptimal and even inaccurate in real-world data. We have therefore compared the effectiveness and safety of off-label use of NOACs with those of warfarin whose anticoagulant intensity was accurately estimated. We retrospectively analyzed data from 2,659 and 3,733 AF patients at a tertiary referral center who were prescribed warfarin and NOACs, respectively, between 2013 and 2018. NOACs were used at off-label doses in 27% of the NOAC patients. After adjusting for significant covariates, underdosed NOAC (off-label use of the reduced dose) was associated with a 2.5-times increased risk of thromboembolism compared with warfarin, and overdosed NOAC (off-label use of the standard dose) showed no significant difference in either thromboembolism or major bleeding compared with warfarin. Well-controlled warfarin (TTR ≥ 60%) reduced both thromboembolism and bleeding events. In conclusion, the effectiveness of NOACs was decreased by off-label use of the reduced dose.
Keyphrases
- oral anticoagulants
- atrial fibrillation
- left atrial
- catheter ablation
- direct oral anticoagulants
- left atrial appendage
- end stage renal disease
- heart failure
- percutaneous coronary intervention
- ejection fraction
- newly diagnosed
- primary care
- chronic kidney disease
- healthcare
- randomized controlled trial
- peritoneal dialysis
- coronary artery disease
- venous thromboembolism
- big data
- patient reported outcomes
- deep learning
- patient reported