Scheltens, NME;
Tijms, BM;
Koene, T;
Barkhof, F;
Teunissen, CE;
Wolfsgruber, S;
Wagner, M;
... Amsterdam Dementia Cohort, .; + view all
(2017)
Cognitive subtypes of probable Alzheimer's disease robustly identified in four cohorts.
Alzheimer's & Dementia
, 13
(11)
pp. 1226-1236.
10.1016/j.jalz.2017.03.002.
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Abstract
INTRODUCTION: Patients with Alzheimer's disease (AD) show heterogeneity in profile of cognitive impairment. We aimed to identify cognitive subtypes in four large AD cohorts using a data-driven clustering approach. METHODS: We included probable AD dementia patients from the Amsterdam Dementia Cohort (n = 496), Alzheimer's Disease Neuroimaging Initiative (n = 376), German Dementia Competence Network (n = 521), and University of California, San Francisco (n = 589). Neuropsychological data were clustered using nonnegative matrix factorization. We explored clinical and neurobiological characteristics of identified clusters. RESULTS: In each cohort, a two-clusters solution best fitted the data (cophenetic correlation >0.9): one cluster was memory-impaired and the other relatively memory spared. Pooled analyses showed that the memory-spared clusters (29%-52% of patients) were younger, more often apolipoprotein E (APOE) ɛ4 negative, and had more severe posterior atrophy compared with the memory-impaired clusters (all P < .05). CONCLUSIONS: We could identify two robust cognitive clusters in four independent large cohorts with distinct clinical characteristics.
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