López María Eugenia, Turrero Agustín, Cuesta Pablo, López-Sanz David, Bruña Ricardo, Marcos Alberto, Gil Pedro, Yus Miguel, Barabash Ana, Cabranes José Antonio, Maestú Fernando, Fernández Alberto
Laboratory of Neuropsychology, Universitat de les Illes Balears, Palma de Mallorca, Spain.
Laboratory of Cognitive and Computational Neuroscience, Center for Biomedical Technology, Complutense University of Madrid and Technical University of Madrid, Spain.
J Alzheimers Dis. 2016 Mar 5;52(1):133-43. doi: 10.3233/JAD-151034.
Recent proposals of diagnostic criteria within the healthy aging-Alzheimer's disease (AD) continuum stressed the role of biomarker information. More importantly, such information might be critical to predict those mild cognitive impairment (MCI) patients at a higher risk of conversion to AD. Usually, follow-up studies utilize a reduced number of potential markers although the conversion phenomenon may be deemed as multifactorial in essence. In addition, not only biological but also cognitive markers may play an important role. Considering this background, we investigated the role of cognitive reserve, cognitive performance in neuropsychological testing, hippocampal volumes, APOE genotype, and magnetoencephalography power sources to predict the conversion to AD in a sample of 33 MCI patients. MCIs were followed up during a 2-year period and divided into two subgroups according to their outcome: The "stable" MCI group (sMCI, 21 subjects) and the "progressive" MCI group (pMCI, 12 subjects). Baseline multifactorial information was submitted to a hierarchical logistic regression analysis to build a predictive model of conversion to AD. Results indicated that the combination of left hippocampal volume, occipital cortex theta power, and clock drawing copy subtest scores predicted conversion to AD with a 100% of sensitivity and 94.7% of specificity. According to these results it might be suggested that anatomical, cognitive, and neurophysiological markers may be considered as "first order" predictors of progression to AD, while APOE or cognitive reserve proxies might play a more secondary role.
近期关于健康衰老 - 阿尔茨海默病(AD)连续体的诊断标准提议强调了生物标志物信息的作用。更重要的是,此类信息对于预测那些转化为AD风险较高的轻度认知障碍(MCI)患者可能至关重要。通常,随访研究使用的潜在标志物数量较少,尽管转化现象本质上可能被视为多因素的。此外,不仅生物学标志物,认知标志物也可能发挥重要作用。考虑到这一背景,我们在33例MCI患者样本中研究了认知储备、神经心理学测试中的认知表现、海马体积、APOE基因型和脑磁图电源对预测转化为AD的作用。对MCI患者进行了为期2年的随访,并根据其结果分为两个亚组:“稳定”MCI组(sMCI,21名受试者)和“进展性”MCI组(pMCI,12名受试者)。将基线多因素信息进行分层逻辑回归分析,以建立转化为AD的预测模型。结果表明,左侧海马体积、枕叶皮质θ波功率和画钟试验临摹子测试分数的组合预测转化为AD的敏感性为100%,特异性为94.7%。根据这些结果,可能表明解剖学、认知和神经生理学标志物可被视为进展为AD的“一级”预测因子,而APOE或认知储备替代指标可能发挥更次要的作用。