Atrial Fibrillation and Risk of Dementia: A Prospective Cohort Study
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OBJECTIVES: To determine whether atrial fibrillation (AF) is associated with risk of incident dementia or Alzheimer's disease (AD), beyond its effect on stroke. DESIGN: Prospective cohort study. SETTING: An integrated healthcare delivery system. PARTICIPANTS: A population‐based sample of 3,045 community‐dwelling adults aged 65 and older without dementia or clinical stroke followed from 1994 to 2008. MEASUREMENTS: AF was identified from health plan electronic data using International Classification of Diseases, Ninth Revision , codes from inpatient and outpatient encounters. Covariates came from self‐report, study measures, and health plan data. Participants were screened every 2 years using the Cognitive Abilities Screening Instrument (range 0–100), with detailed neuropsychological and clinical assessment of those scoring less than 86. A multidisciplinary consensus committee determined diagnoses of all‐cause dementia and possible or probable AD using standard research criteria. RESULTS: AF was present in 132 (4.3%) participants at baseline and was diagnosed in 370 (12.2%) more over a mean of 6.8 years of follow‐up; 572 participants (18.8%) developed dementia (449 with AD). The adjusted hazard ratio associated with AF was 1.38 (95% confidence interval (CI)=1.10–1.73) for all‐cause dementia and 1.50 (95% CI=1.16–1.94) for possible or probable AD. Results were similar for participants with and without clinically recognized stroke during follow‐up and in sensitivity analyses examining only probable AD. CONCLUSION: AF is associated with higher risk of developing AD and dementia. Future studies should examine whether specific treatments, including optimal anticoagulation, can decrease this risk.
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Women generally have reduced ventricular wall thickness and smaller left atria and ventricles compared with men.
“Women generally have reduced ventricular wall thickness and smaller left atria and ventricles compared with men.138–141”
From Atrial fibrillation in women: epidemiology, pathophysiology, presentation, and prognosis (2016) · cites this paper as [140]
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- Authors
- Dublin, S., Anderson, M. L., Haneuse, S. J., Heckbert, S. R., Crane, P. K., Breitner, J. C. S., McCormick, W., Bowen, J. D., Teri, L., McCurry, S. M., & Larson, E. B.
- Affiliations
- Kaiser Permanente Washington Health Research Institute (US)
- Harvard University (US)
- ORCID
- Venue
- Journal of the American Geriatrics Society
- Publisher
- Wiley
- Published
- 2011-08
- Volume
- 59
- Issue
- 8
- Pages
- 1369-1375
- ISSN
- 0002-8614 (ISSN-L)
- 1532-5415
- PMC
- PMC3289545
- OpenAlex
- W1560082628
- Cited by
- 168
- References
- 37
- Citations by year
- 2026: 3 · 2025: 7 · 2024: 6 · 2023: 9 · 2022: 8 · 2021: 10 · 2020: 13 · 2019: 19 · 2018: 14 · 2017: 14 · 2016: 14 · 2015: 13 · 2014: 15 · 2013: 8 · 2012: 14
- FWCI
- 8.10
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Journal of the American Geriatrics Society (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute on Aging (U01AG006781, K23AG028954)
- National Heart, Lung, and Blood Institute (R01HL068986)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Atrial Fibrillation Management and Outcomes
- Health Sciences › Medicine › Epidemiology › Acute Ischemic Stroke Management
- Keywords
- atrial fibrillation, dementia, Alzheimer's disease, incident dementia risk, stroke, older adults, anticoagulation, cognitive decline
- MeSH terms
- Aged, Aged, 80 and over, Alzheimer Disease, Atrial Fibrillation, Cross-Sectional Studies, Female, Health Surveys, Humans, Male, Prospective Studies, Risk Factors, Washington, Cohort Studies, Incidence, Stroke
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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.
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