Year: 2021
Type: article
Study design: Observational Study
Abstract: Background: 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. Methods: We used longitudinal data from 127 participants with preclinical AD and 309 participants with mild cognitive impairments (MCI) due to AD from the Alzheimer’s Disease Neuroimaging Initiative. In order 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 according to the follow-up time for each cohort, determined the time point at which the estimated scores of ADAS-cog 13 for the two cohorts first overlapped, and shifted the ADAS-cog 13 scores for the latter cohort at this time point to connect the two cohorts and to combine the data into a single unified progression course. Results: The estimated years for progression from the median ADAS-cog 13 score in the preclinical AD cohort (9.3 points) to the median ADAS-cog 13 score at the time of progression in the participants who progressed from preclinical AD to MCI due to AD (16.0 points) was 7.8 years. The estimated years for progression from preclinical AD to the median ADAS-cog 13 score at the time of progression in those who progressed from MCI to due AD to AD dementia (26.8 points) was 15.2 years. ADAS-cog 13 scores deteriorated most rapidly in female APOE ε4 carriers and most slowly in male APOE ε4 non-carriers ( p < 0.001). Conclusion: 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 ε4 status.
Source: Scientific Reports
Authors: Soo Hyun Cho, Sookyoung Woo, Changsoo Kim, Hee Jin Kim, Hyemin Jang, Byeong C. Kim, Si Eun Kim, Seung Joo Kim, Jun Pyo Kim, Young Hee Jung, Samuel Lockhart, Rik Ossenkoppele, Susan Landau, Duk L. Na, Michael Weiner, Seonwoo Kim, Sang Won Seo
Institutions: Chonnam National University, Samsung Medical Center, Chonnam National University Hospital, Sungkyunkwan University, Yonsei University, Inje University, Gyeongsang National University, Inje University Haeundae Paik Hospital, Gyeongsang National University Changwon Hospital, Hanyang University, Wake Forest University Health Sciences, Wake Forest University, Amsterdam Neuroscience, University of California, Berkeley, University of California, San Francisco, Research Institute for Future Medicine
Language: English
Subfield: Psychiatry and Mental health
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $1,990
Funders: Alzheimer's Disease Neuroimaging Initiative, National Research Foundation, Chonnam National University, Ministry of Science, ICT and Future Planning, Korea Institute of Science and Technology, National Research Foundation of Korea, Centers for Disease Control and Prevention, Korea Centers for Disease Control and Prevention, National Institute on Aging
OpenAlex ID: W3132707226