Efficacy and Safety of NOACs Compared With VKAs for Patients With Atrial Fibrillation After Transcatheter Aortic Valve Implantation: A System Review and Meta-Analysis.
Junye GeWenqiang HanChuanzhen MaKellina MadurayTongshuai ChenJing-Quan ZhongPublished in: Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis (2022)
Novel oral anticoagulants (NOACs) are preferentially recommended in patients with nonvalvular atrial fibrillation (AF) for stroke prevention over vitamin K antagonists (VKAs). However, the evidence regarding the efficacy and safety of NOACs versus VKAs after transcatheter aortic valve implantation (TAVI) in patients with AF is very rare. Pubmed, Embase, Web of science, and Cochrane Databases were searched for eligible studies published before May 19, 2022. A total of 11 studies were included in this meta-analysis involving 27 107 patients. Regarding primary outcomes, there were no differences between NOACs and VKAs in all-cause mortality ( RR : 0.84, 95% CI : (0.69, 1.02)) and stroke ( RR : 1.00, 95% CI : (0.85, 1.19)). With respect to secondary outcomes, NOACs were associated with reduced incidence of bleeding ( RR : 0.77, 95% CI : (0.71, 0.83)) and intracranial bleeding ( RR : 0.57, 95% CI : (0.39, 0.83)), whereas no significant differences were found in major or life-threatening bleeding ( RR : 0.98, 95% CI : (0.82, 1.17)) and myocardial infarction ( RR : 1.37, 95% CI : (0.83, 2.26)). Our meta-analysis revealed the safety and efficacy of NOACs may be superior to VKAs in AF patients undergoing TAVI.
Keyphrases
- atrial fibrillation
- oral anticoagulants
- transcatheter aortic valve implantation
- aortic stenosis
- aortic valve
- aortic valve replacement
- systematic review
- ejection fraction
- case control
- left atrial
- catheter ablation
- left atrial appendage
- heart failure
- direct oral anticoagulants
- patients undergoing
- meta analyses
- transcatheter aortic valve replacement
- percutaneous coronary intervention
- left ventricular
- newly diagnosed
- prognostic factors
- public health
- risk factors
- coronary artery disease
- machine learning
- randomized controlled trial
- blood brain barrier
- metabolic syndrome
- mitral valve
- big data
- weight loss
- venous thromboembolism
- deep learning
- patient reported