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A self-report risk index to predict occurrence of dementia in three independent cohorts of older adults: The ANU-ADRI

Anstey, KJ and Cherbuin, N and Herath, PM and Qiu, C and Kuller, LH and Lopez, OL and Wilson, RS and Fratiglioni, L (2014) A self-report risk index to predict occurrence of dementia in three independent cohorts of older adults: The ANU-ADRI. PLoS ONE, 9 (1).

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Abstract

Background and Aims: The Australian National University AD Risk Index (ANU-ADRI, http://anuadri.anu.edu.au) is a self-report risk index developed using an evidence-based medicine approach to measure risk of Alzheimer's disease (AD). We aimed to evaluate the extent to which the ANU-ADRI can predict the risk of AD in older adults and to compare the ANU-ADRI to the dementia risk index developed from the Cardiovascular Risk Factors, Aging and Dementia (CAIDE) study for middle-aged cohorts. Methods: This study included three validation cohorts, i.e., the Rush Memory and Aging Study (MAP) (n = 903, age ≥53 years), the Kungsholmen Project (KP) (n = 905, age ≥75 years), and the Cardiovascular Health Cognition Study (CVHS) (n = 2496, age ≥65 years) that were each followed for dementia. Baseline data were collected on exposure to the 15 risk factors included in the ANU-ADRI of which MAP had 10, KP had 8 and CVHS had 9. Risk scores and C-statistics were computed for individual participants for the ANU-ADRI and the CAIDE index. Results: For the ANU-ADRI using available data, the MAP study c-statistic was 0.637 (95% CI 0.596-0.678), for the KP study it was 0.740 (0.712-0.768) and for the CVHS it was 0.733 (0.691-0.776) for predicting AD. When a common set of risk and protective factors were used c-statistics were 0.689 (95% CI 0.650-0.727), 0.666 (0.628-0.704) and 0.734 (0.707-0.761) for MAP, KP and CVHS respectively. Results for CAIDE ranged from c-statistics of 0.488 (0.427-0.554) to 0.595 (0.565-0.625). Conclusion: A composite risk score derived from the ANU-ADRI weights including 8-10 risk or protective factors is a valid, self-report tool to identify those at risk of AD and dementia. The accuracy can be further improved in studies including more risk factors and younger cohorts with long-term follow-up. © 2014 Anstey et al.


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Details

Item Type: Article
Status: Published
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Anstey, KJ
Cherbuin, N
Herath, PM
Qiu, C
Kuller, LHKullerL@edc.pitt.eduKULLER
Lopez, OLollopez@pitt.eduOLLOPEZ
Wilson, RS
Fratiglioni, L
Contributors:
ContributionContributors NameEmailPitt UsernameORCID
EditorZheng, Jialin CharlesUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Date: 23 January 2014
Date Type: Publication
Journal or Publication Title: PLoS ONE
Volume: 9
Number: 1
DOI or Unique Handle: 10.1371/journal.pone.0086141
Schools and Programs: Graduate School of Public Health > Epidemiology
School of Medicine > Neurology
Refereed: Yes
Date Deposited: 19 Jun 2014 17:03
Last Modified: 02 Feb 2019 15:55
URI: http://d-scholarship.pitt.edu/id/eprint/21883

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