Anticoagulants for stroke prevention in heart failure with reduced ejection fraction.
Andreas SchäferUlrike FlierlJohann BauersachsPublished in: Clinical research in cardiology : official journal of the German Cardiac Society (2021)
Impaired left-ventricular ejection-fraction (LV-EF) is a known risk factor for ischemic stroke and systemic embolism in patients with heart failure (HF) even in the absence of atrial fibrillation. While stroke risk is inversely correlated with LV-EF in HF patients with sinus rhythm, strategies using anticoagulation with Vitamin-K antagonists (VKA) were futile as the increase in major bleedings outweighed the potential benefit in stroke reduction. Non-Vitamin K oral anticoagulants (NOACs) proved to be an effective and in general safer approach for stroke prevention in patients with atrial fibrillation and may also have a favourable risk-benefit profile in HF patients. In HF patients with sinus rhythm, the COMPASS trial suggested a potential benefit for rivaroxaban, whereas the more dedicated COMMANDER-HF trial remained neutral on overall ischemic benefit owed to a higher mortality which was not influenced by anticoagulation. More recent data from subgroups in the COMMANDER-HF trial, however, suggest that there might be a benefit of rivaroxaban regarding stroke prevention under certain circumstances. In this article, we review the existing evidence for NOACs in HF patients with atrial fibrillation, elaborate the rationale for stroke prevention in HF patients with sinus rhythm, summarise the available data from anticoagulation trials in HF with sinus rhythm, and describe the patient who might eventually profit from an individualised strategy aiming to reduce stroke risk.
Keyphrases
- atrial fibrillation
- oral anticoagulants
- heart failure
- left atrial
- acute heart failure
- catheter ablation
- ejection fraction
- left atrial appendage
- direct oral anticoagulants
- percutaneous coronary intervention
- left ventricular
- clinical trial
- aortic stenosis
- type diabetes
- cardiovascular disease
- phase ii
- aortic valve
- study protocol
- big data
- acute coronary syndrome
- blood pressure
- machine learning
- data analysis
- brain injury
- cardiovascular events
- artificial intelligence
- human health
- risk assessment
- chronic kidney disease
- heart rate