Calibrating longitudinal cognition in Alzheimer's disease across diverse test batteries and datasets.

Calibrating longitudinal cognition in Alzheimer's disease across diverse test batteries and datasets.
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DOI:
10.1159/000367970
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发表时间:
2014
期刊:
影响因子:
5.7
通讯作者:
AD Genetics Consortium
AD Genetics Consortium
中科院分区:
医学3区
文献类型:
--
作者:
Gross AL;Sherva R;Mukherjee S;Newhouse S;Kauwe JS;Munsie LM;Waterston LB;Bennett DA;Jones RN;Green RC;Crane PK;Alzheimer's Disease Neuroimaging Initiative;GENAROAD Consortium;AD Genetics Consortium

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我们试图找出最佳的方法校准纵向认知性能的研究与不同的神经心理电池。我们在9项阿尔茨海默病(AD)纵向研究(N= 10,875)中检查了四种校准认知表现的方法:(1)普通测试,(2)标准化和平均可用测试,(3)连续指标的验证性因素分析(CFA),以及(4)分类指标的CFA。为了比较精确度,我们确定了检测25%认知能力下降所需的最小样本量。为了比较标准的有效性,我们使用AD神经影像学倡议提供的MRI数据,将每种方法的认知变化与6年平均皮质厚度和海马体积的变化相关联。与普通测试(N=277)、标准化和平均(N=291)和具有连续指标的CFA(N=315)方法相比,具有分类指标的CFA需要最小的样本量来检测25%的认知下降,具有80%的功效(N=232)。与生物标志物变化的相关性最强的是CFA与分类指标。与其他方法相比,使用分类指标的CFA显示出更大的检测变化的能力和上级标准效度。它具有广泛的适用性,可以直接比较研究中的认知表现,使其成为获得AD患者认知下降遗传分析的操作表型的好方法。
We sought to identify optimal approaches calibrating longitudinal cognitive performance across studies with different neuropsychological batteries. We examined four approaches to calibrate cognitive performance in nine longitudinal studies of Alzheimer’s disease (AD) (N=10,875): (1) common test, (2) standardize and average available tests, (3) confirmatory factor analysis (CFA) with continuous indicators, and (4) CFA with categorical indicators. To compare precision, we determined minimum sample sizes needed to detect 25% cognitive decline with 80% power. To compare criterion validity, we correlated cognitive change from each approach with 6-year changes in average cortical thickness and hippocampal volume using available MRI data from the AD Neuroimaging Initiative. CFA with categorical indicators required the smallest sample size to detect 25% cognitive decline with 80% power (N=232) compared to common test (N=277), standardize- and-average (N=291), and CFA with continuous indicators (N=315) approaches. Associations with changes in biomarkers changes were strongest for CFA with categorical indicators. CFA with categorical indicators demonstrated greater power to detect change and superior criterion validity compared to other approaches. It has wide applicability to directly compare cognitive performance across studies, making it a good way to obtain operational phenotypes for genetic analyses of cognitive decline among people with AD.
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