Disease progression modelling from preclinical Alzheimer’s disease (AD) to AD dementia

Author:

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

Abstract

AbstractTo 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 ε4 (APOE ε4) 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 ε4 carriers and most slowly in men APOE ε4 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 ε4 status.

Funder

Chonnam National University Hospital Biomedical Research Institute

Korean Health Technology R

Brain Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT

National Research Council of Science

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

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