A composite score for executive functioning, validated in Alzheimer's Disease Neuroimaging Initiative (ADNI) participants with baseline mild cognitive impairment

被引:395
作者
Gibbons, Laura E. [1 ]
Carle, Adam C. [2 ,3 ]
Mackin, R. Scott [4 ]
Harvey, Danielle [5 ]
Mukherjee, Shubhabrata [1 ]
Insel, Philip [4 ]
Curtis, S. McKay [1 ]
Mungas, Dan [6 ]
Crane, Paul K. [1 ]
机构
[1] Univ Washington, Harborview Med Ctr, Seattle, WA 98104 USA
[2] Univ Cincinnati, Sch Med, Cincinnati Childrens Hosp Med Ctr, Cincinnati, OH 45229 USA
[3] Univ Cincinnati, Coll Arts & Sci, Cincinnati, OH 45229 USA
[4] San Francisco VA Med Ctr, CIND, San Francisco, CA 94121 USA
[5] Univ Calif Davis, Dept Publ Hlth Sci, Div Biostat, Davis, CA 95616 USA
[6] UC Davis Med Ctr, Dept Neurol3, Sacramento, CA 95817 USA
基金
美国国家卫生研究院; 加拿大健康研究院;
关键词
Executive function; Mild cognitive impairment; Item response theory; Composite scores; BIOMARKER SIGNATURE; CONVERSION; DEMENTIA; HETEROGENEITY; MEMORY;
D O I
10.1007/s11682-012-9176-1
中图分类号
R445 [影像诊断学];
学科分类号
100207 ;
摘要
The Alzheimer's Disease Neuroimaging Initiative (ADNI) measures abilities broadly related to executive function (EF), including WAIS-R Digit Symbol Substitution, Digit Span Backwards, Trails A and B, Category Fluency, and Clock Drawing. This study investigates whether a composite executive function measure based on these multiple indicators has better psychometric characteristics than the widely used individual components. We applied item response theory methods to 800 ADNI participants to derive an EF composite score (ADNI-EF) from the above measures. We then compared ADNI-EF with component measures in 390 longitudinally-followed participants with mild cognitive impairment (MCI) with respect to: (1) Ability to detect change over time; (2) Ability to predict conversion to dementia; (3) Strength of cross-sectional association with MRI-derived measures of structures involved in frontal systems, and (4) Strength of baseline association with cerebrospinal fluid (CSF) levels of amyloid beta(1-42), total tau, and phosphorylated tau(181P). ADNI-EF showed the greatest change over time, followed closely by Category Fluency. ADNI-EF needed a 40 % smaller sample size to detect change. ADNI-EF was the strongest predictor of AD conversion. ADNI-EF was the only measure significantly associated with all the MRI regions, though other measures were more strongly associated in a few of the regions. ADNI-EF was associated with all the CSF measures. ADNI-EF appears to be a useful composite measure of EF in MCI, as good as or better than any of its composite parts. This study demonstrates an approach to developing a psychometrically sophisticated composite score from commonly-used tests.
引用
收藏
页码:517 / 527
页数:11
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