Rabin Laura A, Paré Nadia, Saykin Andrew J, Brown Michael J, Wishart Heather A, Flashman Laura A, Santulli Robert B
Department of Psychology, Brooklyn College and the Graduate Center of the City University of New York, Brooklyn, NY 11210, USA.
Neuropsychol Dev Cogn B Aging Neuropsychol Cogn. 2009 May;16(3):357-76. doi: 10.1080/13825580902825220. Epub 2009 Apr 7.
Episodic memory is the first and most severely affected cognitive domain in Alzheimer's disease (AD), and it is also the key early marker in prodromal stages including amnestic mild cognitive impairment (MCI). The relative ability of memory tests to discriminate between MCI and normal aging has not been well characterized. We compared the classification value of widely used verbal memory tests in distinguishing healthy older adults (n = 51) from those with MCI (n = 38). Univariate logistic regression indicated that the total learning score from the California Verbal Learning Test-II (CVLT-II) ranked highest in terms of distinguishing MCI from normal aging (sensitivity = 90.2; specificity = 84.2). Inclusion of the delayed recall condition of a story memory task (i.e., WMS-III Logical Memory, Story A) enhanced the overall accuracy of classification (sensitivity = 92.2; specificity = 94.7). Combining Logical Memory recognition and CVLT-II long delay best predicted progression from MCI to AD over a 4-year period (accurate classification = 87.5%). Learning across multiple trials may provide the most sensitive index for initial diagnosis of MCI, but inclusion of additional variables may enhance overall accuracy and may represent the optimal strategy for identifying individuals most likely to progress to dementia.
情景记忆是阿尔茨海默病(AD)中首个且受影响最严重的认知领域,也是包括遗忘型轻度认知障碍(MCI)在内的前驱期关键早期标志物。记忆测试区分MCI与正常衰老的相对能力尚未得到充分表征。我们比较了广泛使用的言语记忆测试在区分健康老年人(n = 51)与MCI患者(n = 38)方面的分类价值。单变量逻辑回归表明,加利福尼亚言语学习测试第二版(CVLT-II)的总学习得分在区分MCI与正常衰老方面排名最高(敏感性 = 90.2;特异性 = 84.2)。纳入故事记忆任务的延迟回忆条件(即韦氏记忆量表第三版逻辑记忆,故事A)提高了分类的总体准确性(敏感性 = 92.2;特异性 = 94.7)。结合逻辑记忆识别和CVLT-II长时延迟能最好地预测4年内从MCI进展为AD的情况(准确分类 = 87.5%)。多次试验中的学习可能为MCI的初始诊断提供最敏感的指标,但纳入其他变量可能会提高总体准确性,并且可能是识别最有可能进展为痴呆症个体的最佳策略。