Publication

Trajectories of Cardiovascular Risk Factors and Incidence of Atrial Fibrillation Over a 25-Year Follow-Up The ARIC Study (Atherosclerosis Risk in Communities)

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Last modified
  • 03/03/2025
Type of Material
Authors
    Faye L. Norby, University of MinnesotaElsayed Z. Soliman, Wake Forest School of MedicineLin Y. Chen, University of MinnesotaLindsay G.S. Bengtson, Health Economics and Outcomes Research, Life SciencesLaura R. Loehr, University of North CarolinaSunil K. Agarwal, Mount Sinai Heart CenterAlvaro Alonso, Emory University
Language
  • English
Date
  • 2016-08-23
Publisher
  • American Heart Association
Publication Version
Copyright Statement
  • © 2016 American Heart Association, Inc.
Final Published Version (URL)
Title of Journal or Parent Work
ISSN
  • 0009-7322
Volume
  • 134
Issue
  • 8
Start Page
  • 599
End Page
  • 610
Grant/Funding Information
  • This work was additionally supported by American Heart Association grant 16EIA26410001 (Alonso).
  • The Atherosclerosis Risk in Communities Study is carried out as a collaborative study supported by National Heart, Lung, and Blood Institute contracts (HHSN268201100005C, HHSN268201100006C, HSN268201100007C, HHSN268201100008C, HHSN268201100009C, HHSN268201100010C, HHSN268201100011C, and HHSN26820110 0012C).
Supplemental Material (URL)
Abstract
  • Background: Timing and trajectories of cardiovascular risk factor (CVRF) development in relation to atrial fibrillation (AF) have not been described previously. We assessed trajectories of CVRF and incidence of AF over 25 years in the ARIC study (Atherosclerosis Risk in Communities). Methods: We assessed trajectories of CVRF in 2456 individuals with incident AF and 6414 matched control subjects. Subsequently, we determined the association of CVRF trajectories with the incidence of AF among 10 559 AF-free individuals (mean age, 67 years; 52% men; 20% blacks). Risk factors were measured during 5 examinations between 1987 and 2013. Cardiovascular events, including incident AF, were ascertained continuously. We modeled the prevalence of risk factors and cardiovascular outcomes in the period before and after AF diagnosis and the corresponding index date for control subjects using generalized estimating equations. Trajectories in risk factors were identified with latent mixture modeling. The risk of incident AF by trajectory group was examined with Cox models. Results: The prevalence of stroke, myocardial infarction, and heart failure increased steeply during the time close to AF diagnosis. All CVRFs were elevated in AF cases compared with controls > 15 years before diagnosis. We identified distinct trajectories for all the assessed CVRFs. In general, individuals with trajectories denoting long-term exposure to CVRFs had increased AF risk even after adjustment for single measurements of the CVRFs. Conclusions: AF patients have increased prevalence of CVRF many years before disease diagnosis. This analysis identified diverse trajectories in the prevalence of these risk factors, highlighting their different roles in AF pathogenesis.
Author Notes
  • Address for Correspondence: Faye L. Norby, MS, MPH, Division of Epidemiology and Community Health, School of Public Health, University of Minnesota. 1300 S 2nd St, Suite 300. Minneapolis, MN 55454. Phone: 612 626 9096. Fax: 612 624 0314. flopez@umn.edu
Keywords
Research Categories
  • Health Sciences, Epidemiology
  • Health Sciences, Medicine and Surgery

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