Arterial stiffness and risk of dementia in late life: The ARIC neurocognitive study.

IF 4.4 Q1 CLINICAL NEUROLOGY
Jenna Barbee, James Russell Pike, Jingkai Wei, Hirofumi Tanaka, David S Knopman, Anna Kucharska-Newton, A Richey Sharrett, Timothy M Hughes, Kunihiro Matsushita, Thomas H Mosley, Michelle L Meyer, Priya Palta
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引用次数: 0

Abstract

Introduction: Associations of arterial stiffness, measured through pulse wave velocity (PWV), with incident dementia may be driven by age-related structural changes to the arterial wall or by elevated blood pressure.

Methods: Dementia-free White or Black participants in the community-based Atherosclerosis Risk in Communities (ARIC) cohort study with measures of PWV were examined. The associations of carotid-femoral PWV (cfPWV) and total, structural, and load-dependent PWV with dementia were estimated using Poisson regression models and Cox proportional hazards models. Dementia cases were defined by physician-adjudicated review, telephone interviews, hospitalization records, and death certificates.

Results: Of 4818 participants included in the study population (mean age: 75 years; 41% male, 21% Black), 1067 (22%) developed dementia over a median follow-up of 9.0 years. Higher cfPWV, total PWV, structural PWV, and load-dependent PWV were associated with greater dementia risk.

Discussion: Both structural and pressure-related arterial stiffness mechanisms may underlie the link between PWV and dementia.

动脉僵硬和老年痴呆风险:ARIC神经认知研究。
通过脉搏波速度(PWV)测量的动脉硬度与痴呆的关联可能是由年龄相关的动脉壁结构变化或血压升高引起的。方法:对社区动脉粥样硬化风险(ARIC)队列研究中无痴呆的白人或黑人参与者进行PWV测量。使用泊松回归模型和Cox比例风险模型估计颈动脉-股动脉PWV (cfPWV)、总PWV、结构PWV和负荷相关PWV与痴呆的关系。痴呆病例通过医生评审、电话访谈、住院记录和死亡证明来定义。结果:纳入研究人群的4818名参与者(平均年龄:75岁,41%为男性,21%为黑人)中,1067名(22%)在9年的中位随访中出现痴呆。较高的cfPWV、总PWV、结构PWV和负荷相关PWV与较高的痴呆风险相关。讨论:结构和压力相关的动脉僵硬机制可能是PWV和痴呆之间联系的基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
7.80
自引率
7.50%
发文量
101
审稿时长
8 weeks
期刊介绍: Alzheimer''s & Dementia: Diagnosis, Assessment & Disease Monitoring (DADM) is an open access, peer-reviewed, journal from the Alzheimer''s Association® that will publish new research that reports the discovery, development and validation of instruments, technologies, algorithms, and innovative processes. Papers will cover a range of topics interested in the early and accurate detection of individuals with memory complaints and/or among asymptomatic individuals at elevated risk for various forms of memory disorders. The expectation for published papers will be to translate fundamental knowledge about the neurobiology of the disease into practical reports that describe both the conceptual and methodological aspects of the submitted scientific inquiry. Published topics will explore the development of biomarkers, surrogate markers, and conceptual/methodological challenges. Publication priority will be given to papers that 1) describe putative surrogate markers that accurately track disease progression, 2) biomarkers that fulfill international regulatory requirements, 3) reports from large, well-characterized population-based cohorts that comprise the heterogeneity and diversity of asymptomatic individuals and 4) algorithmic development that considers multi-marker arrays (e.g., integrated-omics, genetics, biofluids, imaging, etc.) and advanced computational analytics and technologies.
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