Atrial Fibrillation Management: A Comprehensive Review with a Focus on Pharmacotherapy, Rate, and Rhythm Control Strategies.
Jordan L LacosteThomas W SzymanskiJuan Carlo AvalonGalen KabulskiUtkarsh KohliNassir MarroucheAtul SinglaSudarshan BallaArshad JahangirPublished in: American journal of cardiovascular drugs : drugs, devices, and other interventions (2022)
Atrial fibrillation (AF) is an increasingly common arrhythmia encountered in clinical practice that leads to a substantial increase in utilization of healthcare services and a decrease in the quality of life of patients. The prevalence of AF will continue to increase as the population ages and develops cardiac comorbidities; thus, prompt and effective treatment is important to help mitigate systemic resource utilization. Treatment of AF involves two tenets: prevention of stroke and systemic embolism and symptom control with either a rate or a rhythm control strategy. Historically, due to the safe nature of medications like beta-blockers and non-dihydropyridine calcium channel blockers, used in rate control, it has been the initial strategy used for symptom control in AF. Newer data suggest that a rhythm control strategy with antiarrhythmic medications with or without catheter ablation may lead to a reduction in major adverse cardiovascular events, particularly in patients newly diagnosed with AF. Modulation of factors that promote AF or its complications is another important aspect of the overall holistic management of AF. This review provides a comprehensive focus on the management of patients with AF and an in-depth review of pharmacotherapy of AF in the rate and rhythm control strategies.
Keyphrases
- atrial fibrillation
- catheter ablation
- left atrial
- oral anticoagulants
- left atrial appendage
- newly diagnosed
- direct oral anticoagulants
- healthcare
- heart failure
- cardiovascular events
- end stage renal disease
- percutaneous coronary intervention
- clinical practice
- primary care
- chronic kidney disease
- peritoneal dialysis
- risk factors
- machine learning
- prognostic factors
- deep learning
- mental health
- electronic health record
- blood brain barrier
- artificial intelligence
- social media
- venous thromboembolism
- left ventricular
- blood pressure
- combination therapy