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一种用于预测三个独立老年人群队列中痴呆症发生情况的自我报告风险指数:澳大利亚国立大学衰老与痴呆风险指数(ANU-ADRI)。

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

作者信息

Anstey Kaarin J, Cherbuin Nicolas, Herath Pushpani M, Qiu Chengxuan, Kuller Lewis H, Lopez Oscar L, Wilson Robert S, Fratiglioni Laura

机构信息

Centre for Research on Ageing, Health and Wellbeing, The Australian National University, Canberra, Australia.

Aging Research Center, Karolinska Institutet-Stockholm University, Stockholm, Sweden.

出版信息

PLoS One. 2014 Jan 23;9(1):e86141. doi: 10.1371/journal.pone.0086141. eCollection 2014.

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.

摘要

背景与目的

澳大利亚国立大学阿尔茨海默病风险指数(ANU - ADRI,http://anuadri.anu.edu.au)是一种采用循证医学方法开发的自我报告风险指数,用于衡量阿尔茨海默病(AD)的风险。我们旨在评估ANU - ADRI预测老年人患AD风险的程度,并将ANU - ADRI与心血管危险因素、衰老与痴呆(CAIDE)研究针对中年队列开发的痴呆风险指数进行比较。

方法

本研究纳入了三个验证队列,即拉什记忆与衰老研究(MAP)(n = 903,年龄≥53岁)、孔斯霍尔门项目(KP)(n = 905,年龄≥75岁)以及心血管健康认知研究(CVHS)(n = 2496,年龄≥65岁),对每个队列进行痴呆随访。收集了关于ANU - ADRI中包含的15个风险因素暴露情况的基线数据,其中MAP有10个,KP有8个,CVHS有9个。计算了ANU - ADRI和CAIDE指数的个体参与者风险评分及C统计量。

结果

对于使用现有数据的ANU - ADRI,MAP研究的C统计量为0.637(95%CI 0.596 - 0.678),KP研究为0.740(0.712 - 0.768),CVHS研究为0.733(0.691 - 0.776)用于预测AD。当使用一组共同的风险和保护因素时,MAP、KP和CVHS的C统计量分别为0.689(95%CI 0.650 - 0.727)、0.666(0.628 - 0.704)和0.734(0.707 - 0.761)。CAIDE的结果C统计量范围为0.488(0.427 - 0.554)至0.595(0.565 - 0.625)。

结论

源自ANU - ADRI权重的综合风险评分,包含8 - 10个风险或保护因素,是一种有效的自我报告工具,可用于识别有AD和痴呆风险的人群。在纳入更多风险因素和进行长期随访的年轻队列研究中,准确性可进一步提高。

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本文引用的文献

2
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4
The projected effect of risk factor reduction on Alzheimer's disease prevalence.
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5
Prevention of cognitive decline in ageing: dementia as the target, delayed onset as the goal.
Lancet Neurol. 2011 Sep;10(9):778-9. doi: 10.1016/S1474-4422(11)70145-4. Epub 2011 Jul 19.
7
Preventing Alzheimer's disease and cognitive decline.
Evid Rep Technol Assess (Full Rep). 2010 Apr(193):1-727.
8
Body mass index in midlife and late-life as a risk factor for dementia: a meta-analysis of prospective studies.
Obes Rev. 2011 May;12(5):e426-37. doi: 10.1111/j.1467-789X.2010.00825.x. Epub 2011 Feb 23.
9
Examining interactions between risk factors for psychosis.
Br J Psychiatry. 2010 Sep;197(3):207-11. doi: 10.1192/bjp.bp.109.070904.

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