Predicting age at Alzheimer's dementia onset with the cognitive clock

Author:

Yu Lei12ORCID,Wang Tianhao12,Wilson Robert S.123,Guo Wensheng4,Aggarwal Neelum T.12,Bennett David A.12,Boyle Patricia A.13

Affiliation:

1. Rush Alzheimer's Disease Center Rush University Medical Center Chicago Illinois USA

2. Department of Neurological Sciences Rush University Medical Center Chicago Illinois USA

3. Department of Psychiatry and Behavioral Sciences Rush University Medical Center Chicago Illinois USA

4. Department of Biostatistics, Epidemiology and Informatics University of Pennsylvania Perelman School of Medicine Philadelphia Pennsylvania USA

Abstract

AbstractINTRODUCTIONIntervention of Alzheimer's dementia hinges on early diagnosis and advanced planning. This work utilizes the cognitive clock, a novel indicator of brain health, to develop a dementia prediction model that can be easily applied in broad settings.METHODSData came from over 3000 community‐dwelling older adults. Cognitive age was estimated by aligning Mini‐Mental State Examination (MMSE) scores to a clock that represents the typical cognitive aging profile. We identified a mean cognitive age at Alzheimer's dementia onset and predicted the corresponding chronological age at person‐specific level.RESULTSThe mean chronological age at baseline was 78 years. A total of 881 (28%) participants developed Alzheimer's dementia. The mean cognitive age at onset was 91 years. The predicted chronological age at onset had a mean (standard deviation) of 87.6 (6.7) years. The model's prediction accuracy was supported by multiple testing statistics.DISCUSSIONOur model offers an easy‐to‐use tool for predicting person‐specific age at Alzheimer's dementia onset.

Publisher

Wiley

Subject

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

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