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ADAS-Cog 记忆子测验和学习斜率的敏感性,以沿着 NIA-AA 阿尔茨海默病研究框架的连续体进行区分。

Sensitivity of memory subtests and learning slopes from the ADAS-Cog to distinguish along the continuum of the NIA-AA Research Framework for Alzheimer's Disease.

机构信息

Department of Neurology, Indiana University School of Medicine, Indianapolis, IN, USA.

Mental Health Service, VA Ann Arbor Healthcare System, Ann Arbor, MI, USA.

出版信息

Neuropsychol Dev Cogn B Aging Neuropsychol Cogn. 2023 Sep-Nov;30(6):866-884. doi: 10.1080/13825585.2022.2120957. Epub 2022 Sep 8.

Abstract

Despite extensive use of the Alzheimer's Disease (AD) Assessment Scale - Cognitive Subscale (ADAS-Cog) in AD research, exploration of memory subtests or process scores from the measure has been limited. The current study sought to establish validity for the ADAS-Cog Word Recall Immediate and Delayed Memory subtests and learning slope scores by showing that they are sensitive to AD biomarker status. Word Recall subtest and learning slope scores were calculated for 441 participants from the Alzheimer's Disease Neuroimaging Initiative (aged 55 to 90). All participants were categorized using the NIA-AA Research Framework - based on PET-imaging of β-amyloid (A) and tau (T) deposition - as Normal AD Biomarkers (A-T-), Alzheimer's Pathologic Change (A + T-), or Alzheimer's disease (A + T+). Memory subtest and learning slope performances were compared between biomarker status groups, and with regard to how well they discriminated samples with (A + T+) and without (A-T-) biomarkers. Lower Word Recall memory subtest scores - and scores for a particular learning slope calculation, the Learning Ratio - were observed for the AD (A + T+) group than the other biomarker groups. Memory subtest and Learning Ratio scores further displayed fair to good receiver operator characteristics when differentiating those with and without AD biomarkers. When comparing across learning slopes, the Learning Ratio metric consistently outperformed others. ADAS-Cog memory subtests and the Learning Ratio score are sensitive to AD biomarker status along the continuum of the NIA-AA Research Framework, and the results offer criterion validity for use of these subtests and process scores as unique markers of memory capacity.

摘要

尽管阿尔茨海默病评估量表 - 认知分量表(ADAS-Cog)在阿尔茨海默病研究中得到了广泛应用,但对该量表的记忆子测验或过程评分的探索一直受到限制。本研究旨在通过证明 ADAS-Cog 单词回忆即刻和延迟记忆子测验和学习斜率分数对 AD 生物标志物状态敏感,从而为其提供有效性。对来自阿尔茨海默病神经影像学倡议(年龄在 55 至 90 岁之间)的 441 名参与者计算了单词回忆子测验和学习斜率分数。所有参与者均根据 NIA-AA 研究框架(基于 β-淀粉样蛋白(A)和 tau(T)沉积的 PET 成像)进行分类,分为正常 AD 生物标志物(A-T-)、阿尔茨海默病病理改变(A+T-)或阿尔茨海默病(A+T+)。比较了生物标志物状态组之间的记忆子测验和学习斜率分数,以及它们在区分具有(A+T+)和不具有(A-T-)生物标志物的样本方面的表现。AD(A+T+)组的单词回忆记忆子测验分数较低,且特定学习斜率计算(学习比)的分数也较低,而其他生物标志物组则较高。记忆子测验和学习比分数在区分有和无 AD 生物标志物的样本时,进一步显示出了较好的接受者操作特征。在比较学习斜率时,学习比指标始终优于其他指标。ADAS-Cog 记忆子测验和学习比分数可敏感地反映 NIA-AA 研究框架中 AD 生物标志物状态的连续变化,且结果为这些子测验和过程评分作为记忆能力的独特标志物提供了准则有效性。

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