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Author Notes:

Aniqa B. Alam, MPH, Dept of Epidemiology, Rollins School of Public Health, Emory University, 1518 Clifton Rd NE, CNR 3040B, Atlanta, GA 30322, Phone: (470) 331-5188, abalam@emory.edu

Aniqa B. Alam: methodology, formal analysis, writing – original draft, writing – review & editing; Pamela L. Lutsey: writing – review & editing; Lin Y. Chen: writing – review & editing; Richard F. MacLehose: writing – review & editing; Iris Y. Shao: writing – review & editing; Alvaro Alonso: conceptualization, data curation, methodology, formal analysis, writing – original draft, writing – review & editing.

Research reported in this publication was supported by the National Institutes of Health under Award Numbers R01HL122200, K24HL148521, K24HL159246, R21AG058445, and P30AG066511. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. This work was also supported by American Heart Association grant 16EIA2641001 (Alonso).

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Subjects:

Keywords:

  • Science & Technology
  • Life Sciences & Biomedicine
  • Cardiac & Cardiovascular Systems
  • Cardiovascular System & Cardiology
  • COGNITIVE DECLINE
  • BARIATRIC SURGERY
  • WEIGHT-LOSS
  • EPIDEMIOLOGY
  • BURDEN

Risk Factors for Dementia in Patients With Atrial Fibrillation

Tools:

Journal Title:

AMERICAN JOURNAL OF CARDIOLOGY

Volume:

Volume 174

Publisher:

, Pages 48-52

Type of Work:

Article | Post-print: After Peer Review

Abstract:

Although dementia and atrial fibrillation (AF) are common in older adults, risk factors for dementia have not been sufficiently characterized in patients with AF. We studied 621,773 patients with AF without dementia at the time of AF diagnosis who were enrolled in the MarketScan Commercial and Medicare Supplemental databases from 2007 to 2015. Dementia incidence and presence of predictors at the time of AF diagnosis (cardiometabolic conditions, mental and neurologic disorders, and other chronic conditions) were based on International Classification of Diseases, Ninth Revision, Clinical Modification codes in outpatient and inpatient claims, whereas medication usage was based on outpatient pharmacy claims. A frailty score was calculated using a previously established algorithm. The associations between the predictors of interest and dementia were assessed with multivariable Cox models. Patients had a mean age of 68 years (SD 14 years) and 41% were women. During a mean follow-up of 2.0 years, there were 16,073 cases of dementia. The strongest predictors of dementia were frailty (hazard ratio [HR] 1.43, 95% confidence interval [CI] 1.40 to 1.45, per 1-SD increase in the score), cognitive impairment (HR 1.50, 95% CI 1.36 to 1.65), mood disorders (HR 1.49, 95% CI 1.32 to 1.70), schizophrenia (HR 1.86, 95% CI 1.75 to 1.98), and substance abuse (HR 1.58, 95% CI 1.39 to 1.80). Among cardiometabolic conditions, only stroke (HR 1.17, 95% CI 1.13 to 1.22) and diabetes mellitus (HR 1.14, 95% CI 1.11 to 1.18) were associated with small increases in dementia risk after adjusting for demographics, frailty, co-morbidities, and medications. We have identified several risk factors for dementia in patients with AF.

Copyright information:

© 2022 Elsevier Inc

This is an Open Access work distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (https://creativecommons.org/licenses/by-nc-nd/4.0/).
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