Juncos-Rabadán Onésimo, Pereiro Arturo X, Facal David, Reboredo Alba, Lojo-Seoane Cristina
Department of Developmental and Educational Psychology, University of Santiago de Compostela, Santiago de Compostela, Spain.
Int J Geriatr Psychiatry. 2014 Jun;29(6):602-9. doi: 10.1002/gps.4042. Epub 2013 Oct 22.
Although visual recognition memory and visuospatial paired associates learning has been shown to be impaired in amnestic mild cognitive impairment (aMCI), the sensitivity and specificity of the visual memory tests used to identify aMCI are not well defined. The current study attempted to analyze the sensitivity and specificity of three visual episodic memory tests (Pattern Recognition Memory [PRM], Delayed Matching to Sample [DMS], and Paired Associated Learning [PAL]) from the CANTAB, in differentiating aMCI patients from control healthy participants.
Seventy seven aMCI patients and 85 cognitive normal controls aged over 50 years performed the PRM, DMS, and PAL tests. Univariate and multivariate logistic regression and receiver operating characteristic curve analyses were used to study the relationships between aMCI and visual memory measures.
The three Cambridge Neuropsychological Test Automated Battery measures significantly predicted aMCI. The optimal predictive model combined the total percent correct responses for PRM and DMS with the PAL total errors (six shapes adjusted), with a sensitivity of 72%, specificity of 83%, and achieved predictive accuracy of 80%.
Visual episodic memory tasks such as those involved in the PRM, DMS, and PAL tests (included in the Cambridge Neuropsychological Test Automated Battery) may sensitively discriminate aMCI patients from normal controls. These tests may be useful for correct diagnosis of aMCI.
尽管已有研究表明，遗忘型轻度认知障碍（aMCI）患者存在视觉识别记忆和视觉空间配对联想学习障碍，但用于识别aMCI的视觉记忆测试的敏感性和特异性尚未明确界定。本研究试图分析剑桥神经心理测试自动成套系统（CANTAB）中的三项视觉情景记忆测试（模式识别记忆[PRM]、延迟样本匹配[DMS]和配对联想学习[PAL]）在区分aMCI患者与健康对照者方面的敏感性和特异性。
77名年龄超过50岁的aMCI患者和85名认知正常的对照者进行了PRM、DMS和PAL测试。采用单因素和多因素逻辑回归以及受试者工作特征曲线分析来研究aMCI与视觉记忆指标之间的关系。
剑桥神经心理测试自动成套系统的这三项测量指标能够显著预测aMCI。最佳预测模型将PRM和DMS的正确反应总百分比与PAL总错误数（调整后的六种形状）相结合，敏感性为72%，特异性为83%，预测准确率为80%。
诸如PRM、DMS和PAL测试（包含在剑桥神经心理测试自动成套系统中）所涉及的视觉情景记忆任务，可能能够敏感地区分aMCI患者与正常对照者。这些测试可能有助于aMCI的正确诊断。
