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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
Abstract
CONTEXT: Atrial fibrillation is the most common arrhythmia in elderly persons and a potent risk factor for stroke. However, recent prevalence and projected future numbers of persons with atrial fibrillation are not well described. OBJECTIVE: To estimate prevalence of atrial fibrillation and US national projections of the numbers of persons with atrial fibrillation through the year 2050. DESIGN, SETTING, AND PATIENTS: Cross-sectional study of adults aged 20 years or older who were enrolled in a large health maintenance organization in California and who had atrial fibrillation diagnosed between July 1, 1996, and December 31, 1997. MAIN OUTCOME MEASURES: Prevalence of atrial fibrillation in the study population of 1.89 million; projected number of persons in the United States with atrial fibrillation between 1995-2050. RESULTS: A total of 17 974 adults with diagnosed atrial fibrillation were identified during the study period; 45% were aged 75 years or older. The prevalence of atrial fibrillation was 0.95% (95% confidence interval, 0.94%-0.96%). Atrial fibrillation was more common in men than in women (1.1% vs 0.8%; P<.001). Prevalence increased from 0.1% among adults younger than 55 years to 9.0% in persons aged 80 years or older. Among persons aged 50 years or older, prevalence of atrial fibrillation was higher in whites than in blacks (2.2% vs 1.5%; P<.001). We estimate approximately 2.3 million US adults currently have atrial fibrillation. We project that this will increase to more than 5.6 million (lower bound, 5.0; upper bound, 6.3) by the year 2050, with more than 50% of affected individuals aged 80 years or older. CONCLUSIONS: Our study confirms that atrial fibrillation is common among older adults and provides a contemporary basis for estimates of prevalence in the United States. The number of patients with atrial fibrillation is likely to increase 2.5-fold during the next 50 years, reflecting the growing proportion of elderly individuals. Coordinated efforts are needed to face the increasing challenge of optimal stroke prevention and rhythm management in patients with atrial fibrillation.
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“In the United States, it is estimated that the number of adults with AF would more than double by the year 2050;16 even higher increases have been predicted.14”
From Worldwide Epidemiology of Atrial Fibrillation: A Global Burden of Disease 2010 Study (2014) · cites this paper as [16]
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Metadata
- Authors
- Go, A. S., Hylek, E. M., Phillips, K. A., Chang, Y., Henault, L. E., Selby, J. V., & Singer, D. E.
- Affiliations
- Kaiser Permanente (US)
- Venue
- JAMA
- Publisher
- American Medical Association (AMA)
- Published
- 2001-05-09
- Volume
- 285
- Issue
- 18
- Pages
- 2370
- ISSN
- 0002-9955 (ISSN-L)
- 0098-7484
- OpenAlex
- W2132505348
- Cited by
- 6,205
- References
- 17
- Citations by year
- 2026: 75 · 2025: 148 · 2024: 193 · 2023: 189 · 2022: 251 · 2021: 263 · 2020: 320 · 2019: 271 · 2018: 323 · 2017: 350 · 2016: 399 · 2015: 437 · 2014: 438 · 2013: 463 · 2012: 424
- FWCI
- 43.82
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- JAMA (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institute on Aging (AG 15478, R01AG015478)
- Topics
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Atrial Fibrillation Management and Outcomes
- Health Sciences › Medicine › Clinical Neurology › Acute Ischemic Stroke Management
- Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Cardiovascular and Diving-Related Complications
- Keywords
- prevalence, population projections, older adults, sex differences, racial differences, stroke risk, health maintenance organizations, population aging
- MeSH terms
- Adult, Aged, Aged, 80 and over, Atrial Fibrillation, Cross-Sectional Studies, Female, Forecasting, Humans, Male, Middle Aged, United States, Prevalence, Cost of Illness, Stroke
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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