比较使用疾病状态指数预测向阿尔茨海默病转化的指标。
Comparing predictors of conversion to Alzheimer's disease using the disease state index.
机构信息
Department of Neurology, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland.
出版信息
Neurodegener Dis. 2014;13(2-3):200-2. doi: 10.1159/000354074. Epub 2013 Aug 22.
BACKGROUND
The Disease State Index (DSI) is a method which interprets data originating from multiple different sources, assisting the clinician in the diagnosis and follow-up of dementia diseases.
OBJECTIVE
We compared the differences in accuracy in differentiating stable mild cognitive impairment (S-MCI) and progressive MCI (P-MCI) obtained from different data combinations using the DSI.
METHODS
We investigated 212 cases with S-MCI and 165 cases with P-MCI from the Alzheimer's Disease Neuroimaging Initiative cohort. Data from neuropsychological tests, cerebrospinal fluid, apolipoprotein E (APOE) genotype, magnetic resonance imaging (MRI) and positron emission tomography (PET) were included.
RESULTS
The combination of all parameters gave the highest accuracy (accuracy 0.70, sensitivity 0.71, specificity 0.68). In the different categories, neuropsychological tests (0.65, 0.65, 0.65) and hippocampal volumetry (0.66, 0.66, 0.66) achieved the highest accuracy.
CONCLUSION
In addition to neuropsychological testing, MRI is recommended to be included for differentiating S-MCI from P-MCI. APOE genotype, CSF and PET may provide some additional information.
背景
疾病状态指数（DSI）是一种解释源自多个不同来源的数据的方法，有助于临床医生对痴呆症进行诊断和随访。
目的
我们比较了使用 DSI 从不同数据组合中获得的区分稳定轻度认知障碍（S-MCI）和进行性 MCI（P-MCI）的准确性差异。
方法
我们从阿尔茨海默病神经影像学倡议队列中调查了 212 例 S-MCI 病例和 165 例 P-MCI 病例。纳入了神经心理学测试、脑脊液、载脂蛋白 E（APOE）基因型、磁共振成像（MRI）和正电子发射断层扫描（PET）的数据。
结果
所有参数的组合具有最高的准确性（准确性为 0.70，敏感性为 0.71，特异性为 0.68）。在不同类别中，神经心理学测试（0.65、0.65、0.65）和海马体积测量（0.66、0.66、0.66）具有最高的准确性。
结论
除了神经心理学测试外，建议将 MRI 纳入以区分 S-MCI 和 P-MCI。APOE 基因型、CSF 和 PET 可能提供一些额外信息。
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