Why the study?
AF is an increasingly prevalent arrhythmia carrying high risks of morbidity, mortality, stroke, and heart failure, emphasizing the need for comprehensive screening, prevention, and management strategies.
This review outlines the causes, consequences, and a holistic algorithmic approach to the prevention and management of atrial fibrillation.
Risk stratification in AF needs prospective validation; leaves open whether novel scores improve anticoagulation decisions over current tools.
Atrial fibrillation (AF) is the commonest cardiac arrhythmia, constituting a major cause of morbidity and mortality, with an age-dependent incidence and prevalence ranging from 1-2% in the general population to ~10% in persons aged >60 years. The global prevalence of AF is rapidly increasing, mostly due to the aging population. If not properly and timely managed, this arrhythmia adversely affects left ventricular function, increases the risk of stroke five-fold, impairs quality of life, and shortens longevity. There is a genetic, hence non-modifiable, predisposition to the arrhythmia, while several life-style and cardiometabolic inciting factors, such as hypertension, heart failure, coronary disease, metabolic syndrome, alcohol use, and thyroid disorders, can be addressed, attesting to the importance of a holistic approach to its management. Thromboembolism is a serious consequence of AF, which could lead to a disabling stroke or have a lethal outcome. The risk of a thromboembolic complication can be estimated as based on a scoring system that takes into consideration the patient's age, previous thromboembolic events, and clinical comorbidities. In addition, rapid AF could affect cardiac performance, leading to an elusive type of arrhythmia- induced cardiomyopathy and heart failure with grave consequences if undetected and untreated. Furthermore, AF may cause silent brain infarcts and/or its hemodynamic perturbations can account for a type of dementia that needs to be taken into account, emphasizing the need for AF screening and prevention strategies. All these issues are herein detailed, the causes of the arrhythmia are tabulated, and an algorithm illustrates our current approach to its management.
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Antonis A. Manolis (2024) studied this question.
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