Epidemiology and Economic Burden of Atrial Fibrillation

Register or Login to View PDF Permissions
Permissions× For commercial reprint and permission enquiries please contact Springer Healthcare:

For non-commercial reprints and permissions enquiries, please visit to start a request.

For author reprints, please email
Average (ratings)
No ratings
Your rating
Copyright Statement:

The copyright in this work belongs to Radcliffe Medical Media. Only articles clearly marked with the CC BY-NC logo are published with the Creative Commons by Attribution Licence. The CC BY-NC option was not available for Radcliffe journals before 1 January 2019. Articles marked ‘Open Access’ but not marked ‘CC BY-NC’ are made freely accessible at the time of publication but are subject to standard copyright law regarding reproduction and distribution. Permission is required for reuse of this content.

Atrial fibrillation (AF) is the most common sustained cardiac arrhythmia and is characterized by unco-ordinated atrial activation with consequent loss of atrial mechanical function. In developed nations, the number of men and women affected by AF is projected to more than double over the next two decades. Despite major advances in its management, AF remains a significant cause of cardiovascular morbidity and mortality, especially that arising from stroke and heart failure. This article reviews the epidemiology, cost of management, and future burden of AF.


In the past, AF has been classified inconsistently in various studies, which has led to difficulties in the comparison and collection of epidemiological data. The current guidelines of the American College of Cardiology, the American Heart Association, and the European Society of Cardiology suggest a simple classification based on the temporal progression of the arrhythmia.1 The classification has four categories:

  • first detected episode of AF;
  • paroxysmal AF (self-terminating episodes lasting no longer than seven days, commonly less than 24 hours);
  • persistent AF (non-self-terminating episodes lasting more than seven days, requiring electrical or pharmacological cardioversion to terminate); and
  • permanent AF (fails to terminate after cardioversion, or is accepted by the patient and the physician).

Paroxysmal and persistent AF may be recurrent and are often progressive. Using the above definitions, a recent general practice-based French study found that permanent AF accounted for 50% of cases, with 25% each for persistent and paroxysmal AF.2 Data from the Canadian Registry of Atrial Fibrillation (CARAF) suggest that among 757 patients with new-onset paroxysmal AF, approximately 8–9% may progress to permanent AF by the end of one year, a figure that increases to 25% by five years.3 Rates appear to be higher for those with persistent AF, with 40% developing permanent AF by the end of one year.4

Associated Cardiovascular Conditions

AF is common in patients with structural heart disease. While in developing countries rheumatic valvular disease remains a major etiological factor for AF, the spectrum in Western populations has shifted to hypertension, atherosclerotic heart disease, congestive heart failure, valvular heart disease (mainly mitral stenosis), and diabetes mellitus as the most common risk factors for the development and sustenance of AF (see Table 1).5

As people begin to live longer with the background of the above risk factors, each decade of advancing age increases the likelihood of developing AF by 2.1-fold in men and 2.2-fold in women. Other modifiable risk factors and conditions include cigarette smoking, excessive alcohol consumption (>3 drinks/day6), pulmonary diseases, cardiothoracic surgery, and hyperthyroidism. A number of previously unrecognized or underappreciated risk factors—such as obesity, metabolic syndrome, diastolic dysfunction, sleep apnea, psychological stress, tall stature, and inflammatory conditions associated with raised levels of C-reactive protein—have emerged.7 AF in the absence of the above risk factors or underlying heart disease, which is termed lone AF, accounts for 12–30% of all AF and between 20 and 45% of AF in younger patients.1 Genetic predisposition to AF or specific genetically predetermined forms of the arrhythmia have also been described.8

Prevalence and Incidence

A recent report based on sub-analysis of Framingham data highlights the fact that AF poses a major public health burden, as the lifetime risk of developing AF from age 40 years onwards is approximately one in four for both men and women, and one in six even in the absence of congestive heart failure or myocardial infarction.9 Large-scale population-based studies estimated an overall prevalence of 0.9% in the US, which increased steadily to 3–5% in people older than 65 years, and to 10% or higher in people over 80 years of age.10 Similar prevalence has been reported in the UK.11

The incidence of AF follows a similar pattern and also appears to be on the rise. The Framingham study, over a 38-year follow-up period, found an overall incidence of 3/1,000 person-years in men and 2/1,000 person-years in women aged 55–64 years.13 The Renfrew/Paisley cohort observed a 20-year incident rate of 2.1 and 1.7/1,000 person-years in men and women, respectively, in the same age range.11 The Manitoba follow-up study in Canada (3,983 male aircrew recruits with average age of 31 years in 1948 followed up for 44 years) reported a similar overall incidence rate of 2/1,000 person-years.13 The incidence of AF increases exponentially with advancing age to 20–30 per 1,000 patient-years in individuals 85 years of age and older. AF is 1.5 times more common in men than in women. However, the onset of AF in women occurs at a later age than in men (mean age 65 years versus 60 years).

Moreover, the incidence pattern of AF may show racial and geographical variations. The Cardiovascular Health Study reported that incidence of AF among white subjects was twice that among African-Americans.14 The incidence and prevalence of AF appear to be similar in the US and Europe, but possibly lower in Asia.15

Projected data from population-based studies, such as the Anticoagulation and Risk Factors In Atrial Fibrillation (ATRIA) study in California and analysis from the Mayo Clinic in the Midwest, suggest that the number of adults with AF may reach 5.6–12.1 million by 2050 (see Figure 1).16,17 In fact, this number could be as high as 15.9 million, if a continuous raise in the incidence of AF is present.17

However, even these projections may represent conservative estimates because of silent AF. The prevalence of sustained silent AF in people over the age of 65 is believed to be 25–30%, but modern implantable rhythm control devices—such as pacemakers and cardioverter defibrillators— have revealed that up to 50–60% may have unsuspected episodes of the arrhythmia, with almost half of these lasting more than 48 hours.18 Pharmacological therapy and catheter ablation have been shown to convert symptomatic into asymptomatic AF.

Morbidity and Mortality

AF is a significant marker of future morbidity with major consequences for the healthcare delivery system. All large-scale studies have shown increased risk of all-cause mortality and death from cardiovascular causes, ranging from 1.3- to 1.8-fold for men and 1.9- to 2.8-fold for women.11–13 A four-year follow-up of patients in the Marshfield Clinic Epidemiologic Study Area population also showed a 2.4-fold increased risk of death even after adjustments for sex, age, and other cardiovascular risk factors in patients with AF or atrial flutter.19

Thromboembolic stroke is the most serious and debilitating of all complications, the risk of which is increased three to five times in patients with non-valvular AF.12 In the Framingham Study, the annual risk of stroke attributable to AF was 1.5% among patients aged 50–59 years and increased to 23.5% in those over 80 years. Strokes in AF are typically more severe and are associated with greater disability. The risk of AF-related stroke mortality increases from 1.5% in those aged 50–59 years to 24% in those aged 80–89 years.

Patients with AF also appear to have more recurrent and fatal strokes independent of age and other risk factors for stroke. In addition to stroke, chronic AF also increases the risk of developing congestive heart failure. In the Manitoba Study and the Renfrew/Paisley cohort, AF was associated with a 3- and 3.4-fold increase, respectively, in risk of heart failure.11,13 Nevertheless, the overall prognosis of AF is likely to be influenced by an appropriate treatment strategy, such as increased use of anticoagulation in high-risk individuals (e.g. those aged >75 years) or improved rate of rhythm control to prevent tachycardia-induced cardiomyopathy and heart failure.

AF affects quality of life across areas of physical, mental, social, and functional statuses. Even patients with asymptomatic AF have lower global life satisfaction compared with healthy subjects.20 Women and younger individuals with AF appear to experience more symptoms than men and elderly patients, regardless of associated comorbid conditions.21

Economic Burden

AF imposes a substantial cost burden on the healthcare system due to its increased morbidity- and mortality-associated therapeutic interventions. Based on data from the National Hospital Discharge Survey, the number of AF-related hospitalizations almost tripled in 2000 compared with two decades ago.22 Few studies have been performed to evaluate the cost of care and health resource utilization for AF (see Figure 2). A good estimate of the involved costs was provided by a large UK-based survey that revealed that the direct cost of managing AF increased from 0.6–1.2% of the total National Health Service (NHS) budget in 1995 to 0.9–2.4% by 2000.23 A study from France showed similar figures, with a significantly higher number of hospitalizations and deaths in patients with persistent or permanent AF compared with those with paroxysmal AF.24 AF-associated heart failure, coronary disease, use of class III antiarrhythmic drugs, hypertension, and metabolic disease were significantly associated with higher costs. Based on retrospective analyses of three federally funded databases in the US (2001 data), total annual costs for treatment of AF were estimated at US$6.65 billion, including US$2.93 billion (44%) for hospitalizations for AF, US$1.95 billion (29%) for the incremental inpatient cost of AF as a comorbid diagnosis, US$1.53 billion (23%) for outpatient treatment of AF, and US$235 million (4%) for prescription drugs.25

These figures may be an underestimate as they do not comprehensively include other costs in the community (e.g. monitoring of anticoagulation status), costs of AF-related complications (e.g. side effects from drug therapy), and costs of managing conditions when AF was a secondary diagnosis during admission (e.g. hemorrhagic strokes, cardiac surgery). In a prospective cohort study of hospitalized Medicare patients, adjusted total Medicare spending in one year was 8.6- to 22.6-fold greater in men and 9.8- to 11.2-fold greater in women with AF compared with a matched group without AF.26 The cost of caring for patients with stroke associated with AF is significantly higher than for those whose stroke was not caused by AF. In the Berlin Acute Stroke Study, mean direct costs per patient were approximately 33% greater for AF-related stroke, driven by costs incurred by initial hospital stay (49%) and rehabilitation (16%).27 A study relating to the cost of managing AF following coronary artery bypass surgery showed that 33% of patients developed post-operative AF as the first ever episode and incurred an additional cost of US$6,356 compared with those without AF.28

Cost-effectiveness of Current Management Strategies

It is important to consider costs attributable to AF in the context of different treatment strategies. Although few formal economic analyses have been conducted, anticoagulation in AF patients at high risk of stroke is highly cost-effective. However, a Medicare-based project measuring the national economic burden of stroke in AF in the US in 2003 has suggested that only a small proportion of the potential anticoagulation benefit is currently attained because of substantial underprescription of warfarin.29 According to one economic model of stroke in AF, approximately 1.265 million patients (55%) not receiving antithrombotic prophylaxis suffer 58,382 strokes annually with an associated total direct cost to Medicare of US$4.8 billion. For the 1.035 million receiving warfarin, 38,468 strokes are predicted every year, costing an estimated US$3.1 billion.29

Recent studies comparing the effectiveness of rate control versus rhythm control strategies were consistent in their results that rate control is at least as effective as rhythm control in relatively asymptomatic patients over 65 years of age.30 There is evidence that in this category of patients, a strategy of rhythm control using currently available antiarrhythmic drugs is more expensive and less effective than rate control strategy in the prevention of major adverse events.

Cost-effectiveness analysis from the Atrial Fibrillation Follow-up Investigation of Rhythm Management (AFFIRM) study convincingly demonstrated that patients randomized to pharmacological rhythm control had greater resource utilization and higher costs than patients randomized to rate control (US$25,600 versus US$20,500 over 4.6 years).31

An economic analysis from the Fibrillation Registry Assessing Costs, Therapies, Adverse events, and Lifestyle (FRACTAL) has shown that AF-related healthcare costs averaged US$4,700 per patient per year during the first few years following diagnosis, but annual costs varied greatly according to the AF clinical course.32 Patients accepting permanent AF from the outset had the lowest resource utilization and costs. Among patients with recurrent AF, the frequency of recurrences was strongly associated with higher resource utilization, with each recurrence increasing annual costs by a mean of US$1,600. In a privately insured population, the direct annual direct cost of AF was US$15,553 per patient, in excess of US$12,349 compared with enrollees without AF— i.e. AF patients were approximately five times more costly.33

Post-hoc analysis of the rate versus rhythm control trials suggests that benefits of sinus rhythm may have been offset by the adverse effects of antiarrhythmic therapy.34 The arrival of safer AADs may allow patients to reap the benefits of sinus ryhthm without the drawbacks of current AADs. In addition, there is emerging evidence that in a select group of patients, catheter ablation of AF may help restore and maintain sinus rhythm with the cost of ablative strategy meeting the cost of medical therapy at around five years.35,36 An estimate based on the Markov model suggests that ablation therapies can be cost-effective in middle-aged patients at moderate risk of stroke as opposed to pharmacological rhythm control (see Table 2).35 Nevertheless, since long-term outcome of catheter ablation and its effects on mortality and morbidity are not yet known, prospective randomized trials are necessary to compare the benefits and cost-effectiveness of this treatment strategy.


As a result of increasing age and improved survival rates in those with coronary artery disease, heart failure, and hypertension, an increase in the prevalence of AF is likely to be exponential and sustained in the foreseeable future. This imposes the substantial future burden of the associated morbidity and mortality from stroke and heart failure on society. Economic reports prompt consideration of more efficient ways of delivering care for patients with AF to lead to a reduction in costly hospitalizations. New AADs with improved safety and tolerability may allow patients to reap the benefits of sinus ryhthm without the toxicities of current agents. Preventive strategies to eliminate or minimize the risk factors that lead to the development of AF may be the most cost-effective way to reduce AF burden.


  1. Fuster V, Rydén LE, Cannom DS, et al., ACC/AHA/ESC 2006 Guidelines for the management of patients with atrial fibrillation, Circulation, 2006;114:700–52.
  2. Levy, S Maarek M, Coumel P, et al., Characterisation of different subsets of atrial fibrillation in general practice in France: the ALFA study, Circulation, 1999;99:3028–35.
    Crossref | PubMed
  3. Kerr CR, Humphries KH, Talajic M, et al., Progression to chronic atrial fibrillation after the initial diagnosis of paroxysmal atrial fibrillation: results from the Canadian Registry of Atrial Fibrillation, Am Heart J, 2005;149:489–96.
    Crossref | PubMed
  4. Lehto M, Kahla R, Persistent atrial fibrillation: a population based study of patients with their first cardioversion, Int J Cardiol, 2003;92:145–50.
    Crossref | PubMed
  5. Wolf P, Benjamin EJ, Belanger AJ, et al., Secular trends in the prevalence of atrial fibrillation: The Framingham Study, Am Heart J, 1996;131:790–95.
    Crossref | PubMed
  6. Djousse L, Levy D, Benjamin EJ, et al., Long-term alcohol consumption and risk of atrial fibrillation in the Framingham Study, Am J Cardiol, 2004;93:710–13.
    Crossref | PubMed
  7. Tsang TS, Miyasaka Y, Barnes ME, Gersh BJ, Epidemiological profile of atrial fibrillation: a contemporary perspective, Prog Cardiovasc Dis, 2005;48:1–8.
    Crossref | PubMed
  8. Ellinor PT, Yoerger DM, Ruskin JN, MacRae CA, Familial aggregation in lone atrial fibrillation, Hum Genet, 2005;118:179–84.
    Crossref | PubMed
  9. Lloyd-Jones DM,Wang TJ, Leip EP, et al., Lifetime risk for development of AF: The Framingham Heart Study, Circulation, 2004;110:1042–6.
    Crossref | PubMed
  10. Feinberg WM, Blackshear JL, Laupacis A, et al., Prevalence, age distribution and gender of patients with atrial fibrillation, Arch Intern Med, 1995;155:469–73.
    Crossref | PubMed
  11. Stewart S, Hart CL, Hole DJ, et al., Population, prevalence, incidence and predictors of atrial fibrillation in the Renfrew/Paisley study, Heart, 2001;86:516–21.
    Crossref | PubMed
  12. Kennel WB,Wolf PA, Benjamin EJ, et al., Prevalence, incidence, prognosis and predisposing conditions for atrial fibrillation: population-based estimates, Am J Cardiol, 1998;82:2N–9N.
    Crossref | PubMed
  13. Krahn AD, Manfreda J, Tate RB, et al., The natural history of atrial fibrillation: incidence, risk factors and prognosis in the Manitoba follow-up study, Am J Med, 1995;98:476–84.
    Crossref | PubMed
  14. Psaty BM, Mnolio TA, Kuller LH, et al., Incidence of and risk factors for atrial fibrillation in older adults, Circulation, 1997;96:2455–61.
    Crossref | PubMed
  15. Ryder KM, Benjamin EJ, Epidemiology and significance of atrial fibrillation, Am J Cardiol, 1999;84:131R–138R.
    Crossref | PubMed
  16. Go AS, Hylek EM, Phillips KA, et al., Prevalence of diagnosed atrial fibrillation in adults: national implications for rhythm management and stroke prevention: the AnTicoagulation and Risk Factors in Atrial Fibrillation (ATRIA) Study, JAMA, 2001;285:2370–75.
    Crossref | PubMed
  17. Miyasaka Y, Barnes ME, Gersh BJ, et al., Secular trends in incidence of atrial fibrillation in Olmsted County, Minnesota, 1980 to 2000, and implications on the projections for future prevalence, Circulation, 2006;114:119–25.
    Crossref | PubMed
  18. Savelieva I, Camm AJ, Clinical relevance of silent atrial fibrillation: prevalence, prognosis, quality of life, and management, J Interv Card Electrophysiol, 2000;4:369–82.
  19. Vidaillet H, Granada JF, Chyou PH, et al., A population based study of mortality among patients with atrial fibrillation or flutter, Am J Med, 2002;113:365–70.
    Crossref | PubMed
  20. Savelieva I, Paquette M, Dorian P, et al., Quality of life in patients with silent AF, Heart, 2001;85:216–7.
    Crossref | PubMed
  21. Reynolds MR, Lavelle T, Essebag V, et al., Influence of age, sex, and atrial fibrillation recurrence on quality of life outcomes in a population of patients with new-onset atrial fibrillation: the Fibrillation Registry Assessing Costs, Therapies, Adverse events and Lifestyle (FRACTAL) study, Am Heart J, 2006;152:1097–1103.
    Crossref | PubMed
  22. Wattigney WA, Mensah GA, Croft JB, Increasing trends in hospitalization for atrial fibrillation in the United States, 1985 through 1999: implications for primary prevention, Circulation, 2003;108:711–16.
    Crossref | PubMed
  23. Stewart S, Murphy N,Walker A, et al., Cost of an emerging epidemic; an economic analysis of atrial fibrillation in the UK, Heart, 2004;90:286–92.
    Crossref | PubMed
  24. Le Heuzy JY, Paziaud O, Piot O, et al., Cost of care distribution in atrial fibrillation patients: The COCAF study, Am Heart J, 2004;147:121–6.
    Crossref | PubMed
  25. Coyne KS, Paramore C, Grandy S, et al., Assessing the direct costs of treating nonvalvular atrial fibrillation in the United States, Value Health, 2006;9:348–56.
    Crossref | PubMed
  26. Wolf PA, Mitchell JB, Baker CS, et al., Impact of atrial fibrillation on mortality, stroke, and medical costs, Arch Intern Med, 1998;158:229–34.
    Crossref | PubMed
  27. Bruggenjurgen B, Rossnagel K, Roll S, et al., The impact of atrial fibrillation on the cost of stroke: the Berlin acute stroke study, Value Health, 2007;10:137–43.
    Crossref | PubMed
  28. Hravnak M, Hoffman LA, Saul MI, et al., Resource utilization related to atrial fibrillation after coronary artery bypass grafting, Am J Crit Care, 2002;11:228–38.
  29. Caro JJ, An economic model of stroke in atrial fibrillation: the cost of suboptimal oral anticoagulation, Am J Manag Care, 2004;10(Suppl):S451–8.
  30. De Denus S, Sanoski CA, Carlsson J, et al., Rate vs rhythm control in patients with atrial fibrillation: a meta-analysis, Arch Intern Med, 2005;165:258–62.
    Crossref | PubMed
  31. Marshall DA, Levy AR, Vidaillet H, et al, AFFIRM and CORE Investigators. Cost-effectiveness of rhythm versus rate control in atrial fibrillation, Ann Intern Med, 2004;141:653–61.
    Crossref | PubMed
  32. Reynolds MR, Essebag V, Zimetbaum P, Cohen DJ, Healthcare Resource Utilization and Costs Associated with Recurrent Episodes of Atrial Fibrillation: The FRACTAL Registry, J Cardiovasc Electrophysiol, 2007 Apr 19;[Epub ahead of print].
  33. Wu EQ, Birnbaum HG, Mareva M, et al., Economic burden and comorbidities of atrial fibrillation in a privately insured population, Curr Med Res Opin, 2005;21:1693–9.
    Crossref | PubMed
  34. Corlet SD, Epstein AE, DiMarco JP, et al., Relationships between sinus rhythm, treatment and survival in the AFFIRM study, Circulation, 2004;109:1509–13.
    Crossref | PubMed
  35. Chan PS, Vijan S, Morady F, Oral H, Cost effectiveness of radiofrequency catheter ablation for atrial fibrillation, J Am Coll Cardiol, 2006;47:2513–20.
    Crossref | PubMed
  36. Khaykin Y, Cost-effectiveness of catheter ablation for atrial fibrillation, Curr Opin Cardiol, 2007;22:11–17.
    Crossref | PubMed