Relationships between cerebral small vessel diseases markers and cognitive performance in stroke-free patients with atrial fibrillation

Author:

Tao Wendan,Liu Junfeng,Ye Chen,Kwapong William Robert,Wang Anmo,Wang Zhetao,Chen Shi,Liu Ming

Abstract

BackgroundAtrial fibrillation (AF) is related to an increased risk of cognitive dysfunction. Besides clinically overt stroke, AF can damage the brain via several pathophysiological mechanisms. We aimed to assess the potential mediating role of cerebral small vessel disease (SVD) and cognitive performance in individuals with AF.MethodsStroke-free individuals with AF from the cardiological outpatient clinic at West China Hospital of Sichuan University were recruited. Extensive neuropsychological testing tools were assessed including global function, domains of attention, executive functions, learning, and memory. 3 T magnetic resonance imaging (MRI) was used for SVD markers assessment of white matter hyperintensities (WMH), lacunes, cerebral microbleeds (CMBs), and enlarged perivascular spaces (EPVS). The correlation between SVD markers and cognitive measures was analyzed by multivariate linear regression models.ResultsWe finally enrolled 158 participants, of whom 95 (60.1%) were males. In multivariate models, the presence of lacunes independently associated with Montreal Cognitive Assessment (Model 1: ß = 0.52, Model 2: ß = 0.55), Rey Auditory Verbal Learning Test-immediate and delayed recall (Model 1: ß = 0.49; ß = 0.69; Model 2: ß = 0.53; ß = 0.73) as well as Stroop-Acorrect (Model 1: ß = 0.12; Model 2: ß = 0.13), while total WMH severity independently associated with Strooptime-A (Model 1: ß = 0.24; Model 3: ß = 0.27), Strooptime-B (Model 1: ß = 0.17; Model 3: ß = 0.17), Strooptime-C (Model 1: ß = 0.22; Model 3: ß = 0.21) and Shape Trail Test-A (Model 1: ß = 0.17; Model 3: ß = 0.16).ConclusionIn our cohort of stroke-free individuals with AF, lacunes, and WMHs were independently associated with cognitive decline while EPVS and CMBs did not show significance. Assessment of SVD MRI markers might be valuable for cognition risk stratification and facilitate optimal management of patients with AF.

Funder

National Natural Science Foundation of China

Publisher

Frontiers Media SA

Subject

Cognitive Neuroscience,Aging

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