Disease progression modelling from preclinical Alzheimer's disease (AD) to AD dementiaopen access
- Authors
- Cho, Soo Hyun; Woo, Sookyoung; Kim, Changsoo; Kim, Hee Jin; Jang, Hyemin; Kim, Byeong C.; Kim, Si Eun; Kim, Seung Joo; Kim, Jun Pyo; Jung, Young Hee; Lockhart, Samuel; Ossenkoppele, Rik; Landau, Susan; Na, Duk L.; Weiner, Michael; Kim, Seonwoo; Seo, 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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