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Published on: April 23, 2021
Atrial Fibrillation, Stroke, and Silent Cerebrovascular Disease: A Population-based MRI Study
Lina Rydén1, Simona Sacuiu2, Hanna Wetterberg2
1From the Institute of Neuroscience and Physiology (L.R., S.Sacuiu, H.W., J.N., X.G., S.K., A.Z., I.S.), Sahlgrenska Academy, Centre for Ageing and Health at the University of Gothenburg; Department of Psychiatry Cognition and Old Age Psychiatry (L.R., S.S., J.N., S.K., I.S.), Sahlgrenska University Hospital, Region Västra Götaland, Mölndal; Department of Mood Disorders (X.G.), Sahlgrenska University Hospital, Region Västra Götaland, Göteborg; Division of Clinical Geriatrics (S.Shams, J.B.P., L.-O.W., E.W.), Centre for Alzheimer Research, Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet, Stockholm, Sweden; Department of Radiology (S.S.), Stanford, CA; and Clinical Memory Research Unit (J.B.P.), Department of Clinical Sciences, Malmö, Lund University, Sweden. lina.ryden@gu.se.
Background And Objectives:
Atrial fibrillation (AF) has been associated with cognitive decline and dementia. However, the mechanisms behind these associations are not clear. Examination of cerebrovascular pathology on MRI may shed light on how AF affects the brain. This study aimed to determine whether AF is associated with a broad range of cerebrovascular diseases beyond the well-known association with symptomatic stroke, including silent infarcts and markers of small vessel disease, i.e., cerebral microbleeds (CMBs), white matter hyperintensities (WMHs), and lacunes, in a population-based sample of 70-year-olds.
Methods:
Data were obtained from the Gothenburg H70 Birth Cohort Studies, in which individuals are invited based on birthdate. This study has a cross-sectional design and includes individuals born in 1944 who underwent structural brain MRI in 2014 to 2017. AF diagnoses were based on self-report, ECG, and register data. Symptomatic stroke was based on self-report, proxy interviews, and register data. Brain infarcts and CMBs were assessed by a radiologist. WMH volumes were measured on fluid-attenuated inversion recovery images with the Lesion Segmentation Tool. Multivariable logistic regression was used to study the association between AF and infarcts/CMBs, and multivariable linear regression was used to study the association between AF and WMHs.
Results:
A total of 776 individuals were included, and 65 (8.4%) had AF. AF was associated with symptomatic stroke (odds ratio [OR] 4.5, 95% confidence interval [CI] 2.1-9.5) and MRI findings of large infarcts (OR 5.0, 95% CI 1.5-15.9), lacunes (OR 2.7, 95% CI 1.2-5.6), and silent brain infarcts (OR 3.5; 95% CI 1.6-7.4). Among those with symptomatic stroke, individuals with AF had larger WMH volumes (0.0137 mL/total intracranial volume [TIV], 95% CI 0.0074-0.0252) compared to those without AF (0.0043 mL/TIV, 95% CI 0.0029-0.0064). There was no association between AF and WMH volumes among those without symptomatic stroke. In addition, AF was associated to CMBs in the frontal lobe.
Discussion:
AF was associated with a broad range of cerebrovascular pathologies. Further research is needed to establish whether cerebrovascular MRI markers can be added to current treatment guidelines to further personalize anticoagulant treatment in patients with AF and to further characterize the pathogenetic processes underlying the associations between AF and cerebrovascular diseases, as well as dementia.
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