Literature DB >> 31771759

Atrial Fibrillation, Brain Volumes, and Subclinical Cerebrovascular Disease (from the Atherosclerosis Risk in Communities Neurocognitive Study [ARIC-NCS]).

Kasra Moazzami1, Iris Yuefan Shao2, Lin Yee Chen3, Pamela L Lutsey4, Clifford R Jack5, Thomas Mosley6, David A Joyner7, Rebecca Gottesman8, Alvaro Alonso2.   

Abstract

The aim of the present study was to investigate the association between atrial fibrillation (AF) and total and regional brain volumes among participants in the community-based Atherosclerosis Risk in Communities Neurocognitive study (ARIC-NCS). A total of 1,930 participants (130 with AF) with a mean age of 76.3 ± 5.2, who underwent 3T brain MRI scans in 2011 to 2013 were included. Prevalent AF was ascertained from study ECGs and hospital discharge codes. Brain volumes were measured using FreeSurfer image analysis software. Markers of subclinical cerebrovascular disease included lobar microhemorrhages, subcortical microhemorrhages, cortical infarcts, subcortical infarcts, lacunar infarcts, and volume of white matter hyperintensities. Linear regression models were used to assess the associations between AF status and brain volumes. In adjusted analyses, AF was not associated with markers of subclinical cerebrovascular disease. However, AF was associated with smaller regional brain volumes (including temporal, occipital, and parietal lobes; deep gray matter; Alzheimer disease signature region; and hippocampus [all p <0.05]) after controlling for demographics, cardiovascular risk factors, prevalent cardiovascular disease, and markers of subclinical cerebrovascular disease. Subgroup analysis revealed a significant interaction between AF and total brain volume with respect to age (p = 0.02), with associations between AF and smaller brain volumes being stronger for older individuals. In conclusion, AF was associated with smaller brain volumes, and the association was stronger among older individuals. This finding may be related to the longer exposure period of the older population to AF or the possibility that older people are more susceptible to the effects of AF on brain volume.
Copyright © 2019 Elsevier Inc. All rights reserved.

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Year:  2019        PMID: 31771759      PMCID: PMC6942172          DOI: 10.1016/j.amjcard.2019.10.010

Source DB:  PubMed          Journal:  Am J Cardiol        ISSN: 0002-9149            Impact factor:   2.778


  28 in total

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Authors:  Shadi Kalantarian; Theodore A Stern; Moussa Mansour; Jeremy N Ruskin
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2.  Association between atrial fibrillation and volumetric magnetic resonance imaging brain measures: Framingham Offspring Study.

Authors:  Ryan J Piers; Arvind Nishtala; Sarah R Preis; Charles DeCarli; Philip A Wolf; Emelia J Benjamin; Rhoda Au
Journal:  Heart Rhythm       Date:  2016-07-11       Impact factor: 6.343

3.  Cerebral blood flow before and after cardioversion of atrial fibrillation.

Authors:  P Petersen; J Kastrup; R Videbaek; G Boysen
Journal:  J Cereb Blood Flow Metab       Date:  1989-06       Impact factor: 6.200

4.  Stroke risk profile, brain volume, and cognitive function: the Framingham Offspring Study.

Authors:  S Seshadri; P A Wolf; A Beiser; M F Elias; R Au; C S Kase; R B D'Agostino; C DeCarli
Journal:  Neurology       Date:  2004-11-09       Impact factor: 9.910

5.  Hippocampal atrophy, whole brain volume, and white matter lesions in older hypertensive subjects.

Authors:  R M Wiseman; B K Saxby; E J Burton; R Barber; G A Ford; J T O'Brien
Journal:  Neurology       Date:  2004-11-23       Impact factor: 9.910

6.  Magnetic resonance abnormalities and cardiovascular disease in older adults. The Cardiovascular Health Study.

Authors:  T A Manolio; R A Kronmal; G L Burke; V Poirier; D H O'Leary; J M Gardin; L P Fried; E P Steinberg; R N Bryan
Journal:  Stroke       Date:  1994-02       Impact factor: 7.914

7.  Atrial fibrillation is associated with reduced brain volume and cognitive function independent of cerebral infarcts.

Authors:  Hrafnhildur Stefansdottir; David O Arnar; Thor Aspelund; Sigurdur Sigurdsson; Maria K Jonsdottir; Haukur Hjaltason; Lenore J Launer; Vilmundur Gudnason
Journal:  Stroke       Date:  2013-02-26       Impact factor: 7.914

8.  Trends in the incidence of myocardial infarction and in mortality due to coronary heart disease, 1987 to 1994.

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Journal:  N Engl J Med       Date:  1998-09-24       Impact factor: 91.245

9.  Atrial fibrillation and the risk of incident dementia: a meta-analysis.

Authors:  Pasquale Santangeli; Luigi Di Biase; Rong Bai; Sanghamitra Mohanty; Agnes Pump; Mauricio Cereceda Brantes; Rodney Horton; J David Burkhardt; Dhanunjaya Lakkireddy; Yeruva Madhu Reddy; Michela Casella; Antonio Dello Russo; Claudio Tondo; Andrea Natale
Journal:  Heart Rhythm       Date:  2012-08-02       Impact factor: 6.343

10.  Incidence of atrial fibrillation in whites and African-Americans: the Atherosclerosis Risk in Communities (ARIC) study.

Authors:  Alvaro Alonso; Sunil K Agarwal; Elsayed Z Soliman; Marietta Ambrose; Alanna M Chamberlain; Ronald J Prineas; Aaron R Folsom
Journal:  Am Heart J       Date:  2009-07       Impact factor: 4.749

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  3 in total

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Authors:  Sehoon Park; Soojin Lee; Yaerim Kim; Semin Cho; Kwangsoo Kim; Yong Chul Kim; Seung Seok Han; Hajeong Lee; Jung Pyo Lee; Soryoung Lee; Eue-Keun Choi; Kwon Wook Joo; Chun Soo Lim; Yon Su Kim; Dong Ki Kim
Journal:  BMC Med       Date:  2021-11-24       Impact factor: 8.775

2.  Quercetin prevents isoprenaline-induced myocardial fibrosis by promoting autophagy via regulating miR-223-3p/FOXO3.

Authors:  Jiqiang Hu; Xuan Wang; Xiaoyun Cui; Wu Kuang; Dong Li; Jing Wang
Journal:  Cell Cycle       Date:  2021-06-07       Impact factor: 5.173

3.  Atrial Fibrillation, Stroke, and Silent Cerebrovascular Disease: A Population-based MRI Study.

Authors:  Lina Rydén; Simona Sacuiu; Hanna Wetterberg; Jenna Najar; Xinxin Guo; Silke Kern; Anna Zettergren; Sara Shams; Joana B Pereira; Lars-Olof Wahlund; Eric Westman; Ingmar Skoog
Journal:  Neurology       Date:  2021-09-14       Impact factor: 9.910

  3 in total

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