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Heterogeneity of Alzheimer's disease identified by neuropsychological test profiling.

Authors :
Nguyen, Truc Tran Thanh
Lee, Hsun-Hua
Huang, Li-Kai
Hu, Chaur-Jong
Yeh, Chih-Yang
Yang, Wei-Chung Vivian
Lin, Ming-Chin
Source :
PLoS ONE; 10/5/2023, Vol. 18 Issue 10, p1-16, 16p
Publication Year :
2023

Abstract

Alzheimer's disease (AD) is a highly heterogeneous disorder. Untangling this variability could lead to personalized treatments and improve participant recruitment for clinical trials. We investigated the cognitive subgroups by using a data-driven clustering technique in an AD cohort. People with mild–moderate probable AD from Taiwan was included. Neuropsychological test results from the Cognitive Abilities Screening Instrument were clustered using nonnegative matrix factorization. We identified two clusters in 112 patients with predominant deficits in memory (62.5%) and non-memory (37.5%) cognitive domains, respectively. The memory group performed worse in short-term memory and orientation and better in attention than the non-memory group. At baseline, patients in the memory group had worse global cognitive status and dementia severity. Linear mixed effect model did not reveal difference in disease trajectory within 3 years of follow-up between the two clusters. Our results provide insights into the cognitive heterogeneity in probable AD in an Asian population. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
19326203
Volume :
18
Issue :
10
Database :
Complementary Index
Journal :
PLoS ONE
Publication Type :
Academic Journal
Accession number :
172825816
Full Text :
https://doi.org/10.1371/journal.pone.0292527