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认知领域异常模式可增强痴呆风险预测的区分能力:ARIC 研究。

Patterns of cognitive domain abnormalities enhance discrimination of dementia risk prediction: The ARIC study.

机构信息

Department of Neurology, Mayo Clinic, Rochester, Minnesota, USA.

NYU Grossman School of Medicine, New York, New York, USA.

出版信息

Alzheimers Dement. 2024 Jul;20(7):4559-4571. doi: 10.1002/alz.13876. Epub 2024 Jun 14.

DOI:10.1002/alz.13876
PMID:38877664
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11247695/
Abstract

INTRODUCTION

The contribution of neuropsychological assessments to risk assessment for incident dementia is underappreciated.

METHODS

We analyzed neuropsychological testing results in dementia-free participants in the Atherosclerosis Risk in Communities (ARIC) study. We examined associations of index domain-specific neuropsychological test performance with incident dementia using cumulative incidence curves and Cox proportional hazards models.

RESULTS

Among 5296 initially dementia-free participants (mean [standard deviation] age of 75.8 [5.1] years; 60.1% women, 22.2% Black) over a median follow-up of 7.9 years, the covariate-adjusted hazard ratio varied substantially depending on the pattern of domain-specific performance and age, in an orderly manner from single domain language abnormalities (lowest risk) to single domain executive or memory abnormalities, to multidomain abnormalities including memory (highest risk).

DISCUSSION

By identifying normatively defined cognitive abnormalities by domains based on neuropsychological test performance, there is a conceptually orderly and age-sensitive spectrum of risk for incident dementia that provides valuable information about the likelihood of progression.

HIGHLIGHTS

Domain-specific cognitive profiles carry enhanced prognostic value compared to mild cognitive impairment. Single-domain non-amnestic cognitive abnormalities have the most favorable prognosis. Multidomain amnestic abnormalities have the greatest risk for incident dementia. Patterns of domain-specific risks are similar by sex and race.

摘要

简介

神经心理学评估对痴呆症发病风险评估的贡献未得到充分重视。

方法

我们分析了无痴呆症的 Atherosclerosis Risk in Communities(ARIC)研究参与者的神经心理学测试结果。我们使用累积发病率曲线和 Cox 比例风险模型,研究了特定领域的神经心理学测试表现与痴呆症发病之间的关联。

结果

在中位随访 7.9 年期间,5296 名最初无痴呆症的参与者(平均[标准差]年龄 75.8[5.1]岁;60.1%为女性,22.2%为黑人)中,经协变量调整的风险比根据特定领域表现和年龄的模式而有很大差异,从语言单域异常(风险最低)到执行或记忆单域异常,再到包括记忆在内的多域异常(风险最高),呈有序且与年龄相关的模式。

讨论

通过根据神经心理学测试表现按领域确定规范定义的认知异常,可以为痴呆症发病风险提供有价值的信息,从而了解进展的可能性。

要点

与轻度认知障碍相比,特定领域的认知特征具有更高的预后价值。单域非遗忘性认知异常的预后最佳。多域遗忘性异常发生痴呆症的风险最大。特定领域风险模式在性别和种族之间相似。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3f7a/11247695/28f08e221527/ALZ-20-4559-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3f7a/11247695/bf7c54631f98/ALZ-20-4559-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3f7a/11247695/39be9c8bd7c9/ALZ-20-4559-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3f7a/11247695/7e6c35a5f852/ALZ-20-4559-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3f7a/11247695/a718597bb0b9/ALZ-20-4559-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3f7a/11247695/28f08e221527/ALZ-20-4559-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3f7a/11247695/bf7c54631f98/ALZ-20-4559-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3f7a/11247695/39be9c8bd7c9/ALZ-20-4559-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3f7a/11247695/7e6c35a5f852/ALZ-20-4559-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3f7a/11247695/a718597bb0b9/ALZ-20-4559-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3f7a/11247695/28f08e221527/ALZ-20-4559-g005.jpg

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