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Cited 77 time in webofscience Cited 29 time in scopus
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Disease progression modelling from preclinical Alzheimer's disease (AD) to AD dementiaopen access

Authors
Cho, Soo HyunWoo, SookyoungKim, ChangsooKim, Hee JinJang, HyeminKim, Byeong C.Kim, Si EunKim, Seung JooKim, Jun PyoJung, Young HeeLockhart, SamuelOssenkoppele, RikLandau, SusanNa, Duk L.Weiner, MichaelKim, SeonwooSeo, Sang Won
Issue Date
Feb-2021
Publisher
NATURE PORTFOLIO
Citation
SCIENTIFIC REPORTS, v.11, no.1
Indexed
SCIE
SCOPUS
Journal Title
SCIENTIFIC REPORTS
Volume
11
Number
1
URI
https://scholarworks.gnu.ac.kr/handle/sw.gnu/72610
DOI
10.1038/s41598-021-83585-3
ISSN
2045-2322
Abstract
To characterize the course of Alzheimer's disease (AD) over a longer time interval, we aimed to construct a disease course model for the entire span of the disease using two separate cohorts ranging from preclinical AD to AD dementia. We modelled the progression course of 436 patients with AD continuum and investigated the effects of apolipoprotein E epsilon 4 (APOE epsilon 4) and sex on disease progression. To develop a model of progression from preclinical AD to AD dementia, we estimated Alzheimer's Disease Assessment Scale-Cognitive Subscale 13 (ADAS-cog 13) scores. When calculated as the median of ADAS-cog 13 scores for each cohort, the estimated time from preclinical AD to MCI due to AD was 7.8 years and preclinical AD to AD dementia was 15.2 years. ADAS-cog 13 scores deteriorated most rapidly in women APOE epsilon 4 carriers and most slowly in men APOE epsilon 4 non-carriers (p < 0.001). Our results suggest that disease progression modelling from preclinical AD to AD dementia may help clinicians to estimate where patients are in the disease course and provide information on variation in the disease course by sex and APOE epsilon 4 status.
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