Predicting amyloid‐PET and clinical conversion in apolipoprotein E ε3/ε3 non‐demented individuals with multidimensional factors

Author:

Xu Lijuan1ORCID,Ren Chao1,Jing Chenxi1ORCID,Wang Gang2,Wei Hongchun1,Kong Min3,Ba Maowen14,

Affiliation:

1. Department of Neurology the Affiliated Yantai Yuhuangding Hospital of Qingdao University Shandong China

2. School of Ulsan Ship and Ocean College Ludong University Yantai China

3. Department of Neurology Yantaishan Hospital Yantai City Shandong China

4. Yantai Regional Sub Center of National Center for Clinical Medical Research of Neurological Diseases Shandong China

Abstract

AbstractThe apolipoprotein E (APOE) ε4 is a well‐established risk factor of amyloid‐β (Aβ) in Alzheimer's disease (AD). However, because of the high prevalence of APOE ε3, there may be a large number of people with APOE ε3/ε3 who are non‐demented and have Aβ pathology. There are limited studies on assessing Aβ status and clinical conversion in the APOE ε3/ε3 non‐demented population. Two hundred and ninety‐three non‐demented individuals with APOE ε3/ε3 from ADNI database were divided into Aβ‐positron emission tomography (Aβ‐PET) positivity (+) and Aβ‐PET negativity (−) groups using cut‐off value of >1.11. Stepwise regression searched for a single or multidimensional clinical variables for predicting Aβ‐PET (+), and the receiver operating characteristic curve (ROC) assessed the accuracy of the predictive models. The Cox regression model explored the risk factors associated with clinical conversion to mild cognitive impairment (MCI) or AD. The results showed that the combination of sex, education, ventricle and white matter hyperintensity (WMH) volume can accurately predict Aβ‐PET status in cognitively normal (CN), and the combination of everyday cognition study partner total (EcogSPTotal) score, age, plasma p‐tau 181 and WMH can accurately predict Aβ‐PET status in MCI individuals. EcogSPTotal score were independent predictors of clinical conversion to MCI or AD. The findings may provide a non‐invasive and effective tool to improve the efficiency of screening Aβ‐PET (+), accelerate and reduce costs of AD trial recruitment in future secondary prevention trials or help to select patients at high risk of disease progression in clinical trials.

Funder

National Natural Science Foundation of China

National Institutes of Health

U.S. Department of Defense

National Institute on Aging

National Institute of Biomedical Imaging and Bioengineering

Publisher

Wiley

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