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Data-driven prognostic features of cognitive trajectories in patients with amnestic mild cognitive impairments

Authors
 Yeo Jin Kim  ;  Seong-Kyoung Cho  ;  Hee Jin Kim  ;  Jin San Lee  ;  Juyoun Lee  ;  Young Kyoung Jang  ;  Jacob W. Vogel  ;  Duk L. Na  ;  Changsoo Kim  ;  Sang Won Seo 
Citation
 Alzheimer's Research & Therapy, Vol.11(1) : 10, 2019 
Journal Title
 Alzheimer's Research & Therapy 
Issue Date
2019
Keywords
Amnestic mild cognitive impairment ; Cognitive trajectory ; Data-driven
Abstract
BACKGROUND: Although amnestic mild cognitive impairment (aMCI) is generally considered to be a prodromal stage of Alzheimer's disease, patients with aMCI show heterogeneous patterns of progression. Moreover, there are few studies investigating data-driven cognitive trajectory in aMCI. We therefore classified patients with aMCI based on their cognitive trajectory, measured by clinical dementia rating sum of boxes (CDR-SOB). Then, we compared the clinical and neuroimaging features among groups classified by cognitive trajectory. METHODS: We retrospectively recruited 278 patients with aMCI who underwent three or more timepoints of neuropsychological testing. They also had magnetic resonance imaging (MRI) including structured three-dimensional volume images. Cortical thickness was measured using surface-based methods. We performed trajectory analyses to classify our aMCI patients according to their progression and investigate their cognitive trajectory using CDR-SOB. RESULTS: Trajectory analyses showed that patients with aMCI were divided into three groups: stable (61.8%), slow decliner (31.7%), and fast decliner (6.5%). Changes throughout a mean follow-up duration of 3.7 years in the CDR-SOB for the subgroups of stable/slow/fast decliners were 1.3-, 6.4-, and 12-point increases, respectively. Decliners were older and carried apolipoprotein E4 (APOE4) genotypes more frequently than stable patients. Compared with the stable group, decliners showed a higher frequency of aMCI patients with both visual and verbal memory dysfunction, late stage aMCI, and multiple domain dysfunction. In addition, compared with the stable group, the slow decliners showed cortical thinning predominantly in bilateral parietotemporal areas, while the fast decliners showed cortical thinning predominantly in bilateral frontotemporal areas. Both decliner groups showed worse cognitive function in attention, language, visuospatial, memory, and frontal/executive domains than the stable group. CONCLUSIONS: Our data-driven trajectory analysis provides new insights into heterogeneous cognitive trajectories of aMCI and further suggests that baseline clinical and neuroimaging profiles might predict aMCI patients with poor prognosis.
Files in This Item:
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DOI
10.1186/s13195-018-0462-z
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Preventive Medicine and Public Health (예방의학교실) > 1. Journal Papers
Yonsei Authors
Kim, Chang Soo(김창수) ORCID logo https://orcid.org/0000-0002-5940-5649
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/167513
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