Toward digitally screening and profiling AD: A GAMLSS approach of MemTrax in China

Author:

Liu Wanwan1,Yu Ling1,Deng Qiuqiong1,Li Yunrong1,Lu Peiwen2,Yang Jie2,Chen Fei1,Li Feng3,Zhou Xianbo45,Bergeron Michael F.6,Ashford John Wesson7,Xu Qun12

Affiliation:

1. Health Management Center Renji Hospital of Medical School of Shanghai Jiaotong University Shanghai China

2. Department of Neurology Renji Hospital of Medical School of Shanghai Jiaotong University Shanghai China

3. Kunming Escher Technology Co. Ltd Kunming Yunnan China

4. Center for Alzheimer's Research Washington Institute of Clinical Research Vienna Virginia USA

5. AstraNeura Co. Ltd Shanghai China

6. Visiting Scholar Department of Health Sciences University of Hartford West Hartford Connecticut USA

7. War Related Illness and Injury Study Center VA Palo Alto HCS Palo Alto California USA

Abstract

AbstractPURPOSESTo establish a normative range of MemTrax (MTx) metrics in the Chinese population.METHODSThe correct response percentage (MTx‐%C) and mean response time (MTx‐RT) were obtained and the composite scores (MTx‐Cp) calculated. Generalized additive models for location, shape and scale (GAMLSS) were applied to create percentile curves and evaluate goodness of fit, and the speed‐accuracy trade‐off was investigated.RESULTS26,633 subjects, including 13,771 (51.71%) men participated in this study. Age‐ and education‐specific percentiles of the metrics were generated. Q tests and worm plots indicated adequate fit for models of MTx‐RT and MTx‐Cp. Models of MTx‐%C for the low and intermediate education fit acceptably, but not well enough for a high level of education. A significant speed‐accuracy trade‐off was observed for MTx‐%C from 72 to 94.CONCLUSIONSGAMLSS is a reliable method to generate smoothed age‐ and education‐specific percentile curves of MTx metrics, which may be adopted for mass screening and follow‐ups addressing Alzheimer's disease or other cognitive diseases.Highlights GAMLSS was applied to establish nonlinear percentile curves of cognitive decline. Subjects with a high level of education demonstrate a later onset and slower decline of cognition. Speed‐accuracy trade‐off effects were observed in a subgroup with moderate accuracy. MemTrax can be used as a mass‐screen instrument for active cognition health management advice.

Funder

Natural Science Foundation of Shanghai Municipality

Publisher

Wiley

Subject

Psychiatry and Mental health,Cellular and Molecular Neuroscience,Geriatrics and Gerontology,Neurology (clinical),Developmental Neuroscience,Health Policy,Epidemiology

Reference44 articles.

1. ALzheimer‐S‐Disease International.World Alzheimer Report 2018[DB/OL].https://www.alzint.org/u/WorldAlzheimerReport2018.pdf 2018‐09‐01/March 2020.

2. Rationale for early diagnosis of mild cognitive impairment (MCI) supported by emerging digital technologies;Sabbagh MN;J Prev Alzheimers Dis,2020

3. Computerized Cognitive Testing for Older Adults

4. Advances in screening instruments for Alzheimer's disease

5. Validity of the MemTrax Memory Test Compared to the Montreal Cognitive Assessment in the Detection of Mild Cognitive Impairment and Dementia due to Alzheimer’s Disease in a Chinese Cohort

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