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Metrological properties of neuropsychological tests for measuring cognitive change in individuals with prodromal Alzheimer’s disease

作者
Xinnan Zhang,Yan Jing Wu,Yao He,Xiaoyan Ge,Jing Cui,Hongjuan Han,Yanhong Luo,Long Liu,Zhixin Wang,Hongmei Yu,the Alzheimer’s Disease Neuroimaging Initiative
出处
期刊:Aging & Mental Health [Routledge]
卷期号:26 (10): 1988-1996 被引量:2
标识
DOI:10.1080/13607863.2021.1966746
摘要

Objectives In Alzheimer’s Disease (AD) research, choosing appropriate method for measuring change in cognitive function over time can be challenging. The aim for this study was to examine the sensitivity of four neuropsychological tests used to measure cognition during the transition from mild cognitive impairment (MCI) to AD, and the impacts of associated covariates.Methods We enrolled 223 patients with MCI who progressed to AD and had completed multiple follow-up assessments in the Alzheimer’s Disease Neuroimaging Initiative (ADNI) database. We constructed nonlinear mixed model for multivariate longitudinal data assuming that multiple neuropsychological tests would exhibit nonlinear transformation of a common factor in the latent cognitive process underlying the progression from MCI to AD.Results The Clinical Dementia Rating-Sum of the Boxes (CDR-SB) and Alzheimer’s Disease Assessment Scale (11 items; ADAS-11) were more sensitive to cognitive changes in individuals with higher cognitive function, the Functional Activities Questionnaire (FAQ) was more sensitive to cognitive changes in individuals with middle cognitive function, and the Mini-Mental State Examination (MMSE) was more sensitive to cognitive changes in individuals with lower cognitive function. Gender (p = 0.0139) and educational level (p = 0.0094) had varying effects on different tests, such that men performed better on the FAQ and CDR-SB, and individuals with higher educational level tended to perform better on the FAQ and MMSE.Conclusions When choosing appropriate neuropsychological tests in cognitive measurements, the cognitive functional level of the patient as well as the impacts of covariates should be considered.

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