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简短计算机化认知筛查测试在痴呆症中的有效性。

Validity of a brief computerized cognitive screening test in dementia.

机构信息

Department of Neurology, Center for Alzheimer's Care, Imaging, and Research, University of Utah, UT 84108, USA.

出版信息

J Geriatr Psychiatry Neurol. 2012 Jun;25(2):89-99. doi: 10.1177/0891988712447894.

Abstract

BACKGROUND

While preliminary evidence supports the criterion validity of the CogState computerized brief battery in mild cognitive impairment (MCI) and Alzheimer disease (AD), definitive validation studies examining a wider range of dementia-related disorders relative to conventional neuropsychological techniques are necessary.

METHODS

Participants satisfying clinical consensus criteria for dementia (AD, n = 37; frontotemporal dementia, n = 7; and dementia with Lewy bodies, n = 5), MCI (n = 16), and the healthy controls (n = 22) were administered a battery of brief neuropsychological and select computerized (CogState) cognitive tests. The battery, administered through the University of Michigan Alzheimer's Disease Research Center, included measures of processing speed, attention, working memory, and learning.

RESULTS

CogState and standard neuropsychological task scores were significantly lower for dementia participants than that of the nondementia groups (P < .05), with a single CogState test distinguishing control from MCI participants, but minimal differentiation existing between dementias using the CogState. Correlations were modest between conventional and computerized test scores, covering matching domains and mostly reflecting the multidimensional nature of cognitive paradigms.

CONCLUSIONS

Results support the clinical validity of this brief computerized screening battery when used in established dementias, but not to differentiate between various dementias, and suggest that the select CogState battery's effectiveness in identifying MCI from controls was not as strong as identifying specific dementias.

摘要

背景

虽然初步证据支持 CogState 计算机化简短电池在轻度认知障碍(MCI)和阿尔茨海默病(AD)中的标准效度,但需要进行更广泛的与传统神经心理学技术相关的痴呆相关疾病的明确验证研究。

方法

满足痴呆(AD,n=37;额颞叶痴呆,n=7;和路易体痴呆,n=5)、MCI(n=16)和健康对照组(n=22)的临床共识标准的参与者接受了一系列简短的神经心理学和选择计算机化(CogState)认知测试。该电池通过密歇根大学阿尔茨海默病研究中心进行管理,包括处理速度、注意力、工作记忆和学习的测量。

结果

与非痴呆组相比,痴呆组的 CogState 和标准神经心理学任务得分显著降低(P<0.05),单个 CogState 测试可区分控制与 MCI 参与者,但 CogState 之间的痴呆症之间几乎没有差异。传统和计算机化测试得分之间的相关性适中,涵盖了匹配的领域,主要反映了认知范式的多维性质。

结论

结果支持在既定痴呆症中使用这种简短的计算机化筛选电池的临床有效性,但不能区分各种痴呆症,并且表明选择的 CogState 电池从对照组中识别 MCI 的有效性不如识别特定痴呆症的有效性强。

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