Gomar Jesus J, Bobes-Bascaran Maria T, Conejero-Goldberg Concepcion, Davies Peter, Goldberg Terry E
Litwin Zucker Alzheimer's Center/Zucker Hillside Hospital/A, Glen Oaks, NY 11004, USA.
Arch Gen Psychiatry. 2011 Sep;68(9):961-9. doi: 10.1001/archgenpsychiatry.2011.96.
CONTEXT: Biomarkers have become increasingly important in understanding neurodegenerative processes associated with Alzheimer disease. Markers include regional brain volumes, cerebrospinal fluid measures of pathological Aβ1-42 and total tau, cognitive measures, and individual risk factors. OBJECTIVE: To determine the discriminative utility of different classes of biomarkers and cognitive markers by examining their ability to predict a change in diagnostic status from mild cognitive impairment to Alzheimer disease. DESIGN: Longitudinal study. PARTICIPANTS: We analyzed the Alzheimer's Disease Neuroimaging Initiative database to study patients with mild cognitive impairment who converted to Alzheimer disease (n = 116) and those who did not convert (n = 204) within a 2-year period. We determined the predictive utility of 25 variables from all classes of markers, biomarkers, and risk factors in a series of logistic regression models and effect size analyses. SETTING: The Alzheimer's Disease Neuroimaging Initiative public database. OUTCOME MEASURES: Primary outcome measures were odds ratios, pseudo- R(2)s, and effect sizes. RESULTS: In comprehensive stepwise logistic regression models that thus included variables from all classes of markers, the following baseline variables predicted conversion within a 2-year period: 2 measures of delayed verbal memory and middle temporal lobe cortical thickness. In an effect size analysis that examined rates of decline, change scores for biomarkers were modest for 2 years, but a change in an everyday functional activities measure (Functional Assessment Questionnaire) was considerably larger. Decline in scores on the Functional Assessment Questionnaire and Trail Making Test, part B, accounted for approximately 50% of the predictive variance in conversion from mild cognitive impairment to Alzheimer disease. CONCLUSIONS: Cognitive markers at baseline were more robust predictors of conversion than most biomarkers. Longitudinal analyses suggested that conversion appeared to be driven less by changes in the neurobiologic trajectory of the disease than by a sharp decline in functional ability and, to a lesser extent, by declines in executive function.
背景:生物标志物在理解与阿尔茨海默病相关的神经退行性过程中变得越来越重要。标志物包括脑区体积、病理性Aβ1-42和总tau蛋白的脑脊液测量值、认知测量值以及个体风险因素。
目的:通过检查不同类别的生物标志物和认知标志物预测诊断状态从轻度认知障碍转变为阿尔茨海默病的能力,来确定它们的鉴别效用。
设计:纵向研究。
参与者:我们分析了阿尔茨海默病神经影像倡议数据库,以研究在2年内从轻度认知障碍转变为阿尔茨海默病的患者(n = 116)和未转变的患者(n = 204)。我们在一系列逻辑回归模型和效应量分析中确定了来自所有类别标志物、生物标志物和风险因素的25个变量的预测效用。
设置:阿尔茨海默病神经影像倡议公共数据库。
主要结局指标:主要结局指标为比值比、伪R²和效应量。
结果:在因此纳入所有类别标志物变量的综合逐步逻辑回归模型中,以下基线变量预测了2年内的转变:2项延迟言语记忆测量值和颞中回皮质厚度。在一项检查下降率的效应量分析中,生物标志物的变化分数在2年内较小,但日常功能活动测量值(功能评估问卷)的变化要大得多。功能评估问卷和B部分连线测验得分的下降约占从轻度认知障碍转变为阿尔茨海默病预测方差的50%。
结论:基线时的认知标志物比大多数生物标志物更能有力地预测转变。纵向分析表明,转变似乎较少由疾病神经生物学轨迹的变化驱动, 而更多地由功能能力的急剧下降驱动,在较小程度上由执行功能的下降驱动。
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