Clinical utility of the cogstate brief battery in identifying cognitive impairment in mild cognitive impairment and Alzheimer's disease.

Clinical utility of the cogstate brief battery in identifying cognitive impairment in mild cognitive impairment and Alzheimer's disease.
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DOI:
10.1186/2050-7283-1-30
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发表时间:
2013
期刊:
影响因子:
3.6
通讯作者:
AIBL Research Group
AIBL Research Group
中科院分区:
心理学4区
文献类型:
--
作者:
Maruff P;Lim YY;Darby D;Ellis KA;Pietrzak RH;Snyder PJ;Bush AI;Szoeke C;Schembri A;Ames D;Masters CL;AIBL Research Group

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先前的研究已经证明了CogState Brief Battery (CBB)在检测阿尔茨海默病(AD)和轻度认知障碍(MCI)的认知障碍以及评估AD临床前阶段认知变化方面的实用性和敏感性。因此,CBB可能是一个有用的筛查工具,以协助在临床设置的认知功能管理。在这项研究中,我们旨在确定CBB在识别MCI和AD中认知障碍的性质和程度方面的效用。完成CBB的健康成人(n = 653)、健忘性轻度认知障碍成人(n = 107)和AD成人(n = 44)参加了本研究。综合精神运动/注意和学习/工作记忆得分是根据个体CBB测试计算的。然后检查三组之间综合得分的差异;并进行敏感性和特异性分析,以确定在识别MCI和ad相关认知障碍方面最佳的综合评分的切割分数。MCI (g = 2.2)和AD (g = 3.3)在学习/工作记忆方面存在较大程度的损伤,而在注意/精神运动方面存在较小程度的损伤(g = 0.5和1)。识别mci相关的学习/工作记忆复合认知障碍的最佳敏感性和特异性cut-score为-1SD, AD组的最佳值为-1.7SD。在4个月内,两项综合得分均表现出较高的重测信度(r = 0.95)。记忆力综合表现较差的人在迷你精神状态测试中的表现也较差,在临床痴呆评定量表中的综合得分也越来越严重。本研究结果表明,CogState学习/工作记忆综合评分在CI和AD中显着降低,与疾病分类的测量具有良好的相关性,并且可用于识别与MCI和AD相关的记忆障碍。
Previous studies have demonstrated the utility and sensitivity of the CogState Brief Battery (CBB) in detecting cognitive impairment in Alzheimer’s disease (AD) and mild cognitive impairment (MCI) and in assessing cognitive changes in the preclinical stages of AD. Thus, the CBB may be a useful screening tool to assist in the management of cognitive function in clinical settings. In this study, we aimed to determine the utility of the CBB in identifying the nature and magnitude of cognitive impairments in MCI and AD. Healthy adults (n = 653) adults with amnestic MCI (n = 107), and adults with AD (n = 44) who completed the CBB participated in this study. Composite Psychomotor/Attention and Learning/Working Memory scores were computed from the individual CBB tests. Differences in composite scores were then examined between the three groups; and sensitivity and specificity analyses were conducted to determine cut scores for the composite scores that were optimal in identifying MCI- and AD-related cognitive impairment. Large magnitude impairments in MCI (g = 2.2) and AD (g = 3.3) were identified for the learning/working memory composite, and smaller impairments were observed for the attention/psychomotor composite (g’s = 0.5 and 1, respectively). The cut-score associated with optimal sensitivity and specificity in identifying MCI-related cognitive impairment on the learning/working memory composite was -1SD, and in the AD group, this optimal value was -1.7SD. Both composite scores showed high test-retest reliability (r = 0.95) over four months. Poorer performance on the memory composite was also associated with worse performance on the Mini Mental State Exam and increasing severity on the Clinical Dementia Rating Scale sum of boxes score. Results of this study suggest that the CogState learning/working memory composite score is reduced significantly in CI and AD, correlate well with measures of disease classification and are useful in identifying memory impairment related to MCI- and AD.