@article {9409, title = {A self-report risk index to predict occurrence of dementia in three independent cohorts of older adults: the ANU-ADRI.}, journal = {PLoS One}, volume = {9}, year = {2014}, month = {2014}, pages = {e86141}, 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{\textquoteright}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{\textperiodcentered}637 (95\% CI 0{\textperiodcentered}596-0{\textperiodcentered}678), for the KP study it was 0{\textperiodcentered}740 (0{\textperiodcentered}712-0{\textperiodcentered}768) and for the CVHS it was 0{\textperiodcentered}733 (0{\textperiodcentered}691-0{\textperiodcentered}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.

}, keywords = {Adult, Aged, Aged, 80 and over, Alzheimer Disease, Dementia, Female, Humans, Incidence, Male, Middle Aged, Risk, ROC Curve, Self Report}, issn = {1932-6203}, doi = {10.1371/journal.pone.0086141}, author = {Anstey, Kaarin J and Cherbuin, Nicolas and Herath, Pushpani M and Qiu, Chengxuan and Kuller, Lewis H and Lopez, Oscar L and Wilson, Robert S and Fratiglioni, Laura} } @article {9480, title = {CogDrisk, ANU-ADRI, CAIDE, and LIBRA Risk Scores for Estimating Dementia Risk.}, journal = {JAMA Netw Open}, volume = {6}, year = {2023}, month = {2023 Aug 01}, pages = {e2331460}, abstract = {

IMPORTANCE: While the Australian National University-Alzheimer Disease Risk Index (ANU-ADRI), Cardiovascular Risk Factors, Aging, and Dementia (CAIDE), and Lifestyle for Brain Health (LIBRA) dementia risk tools have been widely used, a large body of new evidence has emerged since their publication. Recently, Cognitive Health and Dementia Risk Index (CogDrisk) and CogDrisk for Alzheimer disease (CogDrisk-AD) risk tools have been developed for the assessment of dementia and AD risk, respectively, using contemporary evidence; comparison of the relative performance of these risk tools is limited.

OBJECTIVE: To evaluate the performance of CogDrisk, ANU-ADRI, CAIDE, LIBRA, and modified LIBRA (LIBRA with age and sex estimates from ANU-ADRI) in estimating dementia and AD risks (with CogDrisk-AD and ANU-ADRI).

DESIGN, SETTING, AND PARTICIPANTS: This population-based cohort study obtained data from the Rush Memory and Aging Project (MAP), the Cardiovascular Health Study Cognition Study (CHS-CS), and the Health and Retirement Study-Aging, Demographics and Memory Study (HRS-ADAMS). Participants who were free of dementia at baseline were included. The factors were component variables in the risk tools that included self-reported baseline demographics, medical risk factors, and lifestyle habits. The study was conducted between November 2021 and March 2023, and statistical analysis was performed from January to June 2023.

MAIN OUTCOMES AND MEASURES: Risk scores were calculated based on available factors in each of these cohorts. Area under the receiver operating characteristic curve (AUC) was calculated to measure the performance of each risk score. Multiple imputation was used to assess whether missing data may have affected estimates for dementia risk.

RESULTS: Among the 6107 participants in 3 validation cohorts included for this study, 2184 participants without dementia at baseline were available from MAP (mean [SD] age, 80.0 [7.6] years; 1606 [73.5\%] female), 548 participants without dementia at baseline were available from HRS-ADAMS (mean [SD] age, 79.5 [6.3] years; 288 [52.5\%] female), and 3375 participants without dementia at baseline were available from CHS-CS (mean [SD] age, 74.8 [4.9] years; 1994 [59.1\%] female). In all 3 cohorts, a similar AUC for dementia was obtained using CogDrisk, ANU-ADRI, and modified LIBRA (MAP cohort: CogDrisk AUC, 0.65 [95\% CI, 0.61-0.69]; ANU-ADRI AUC, 0.65 [95\% CI, 0.61-0.69]; modified LIBRA AUC, 0.65 [95\% CI, 0.61-0.69]; HRS-ADAMS cohort: CogDrisk AUC, 0.75 [95\% CI, 0.71-0.79]; ANU-ADRI AUC, 0.74 [95\% CI, 0.70-0.78]; modified LIBRA AUC, 0.75 [95\% CI, 0.71-0.79]; CHS-CS cohort: CogDrisk AUC, 0.70 [95\% CI, 0.67-0.72]; ANU-ADRI AUC, 0.69 [95\% CI, 0.66-0.72]; modified LIBRA AUC, 0.70 [95\% CI, 0.68-0.73]). The CAIDE and LIBRA also provided similar but lower AUCs than the 3 aforementioned tools (eg, MAP cohort: CAIDE AUC, 0.50 [95\% CI, 0.46-0.54]; LIBRA AUC, 0.53 [95\% CI, 0.48-0.57]). The performance of CogDrisk-AD and ANU-ADRI in estimating AD risks was also similar.

CONCLUSIONS AND RELEVANCE: CogDrisk and CogDrisk-AD performed similarly to ANU-ADRI in estimating dementia and AD risks. These results suggest that CogDrisk and CogDrisk-AD, with a greater range of modifiable risk factors compared with other risk tools in this study, may be more informative for risk reduction.

}, keywords = {Aged, Aged, 80 and over, Alzheimer Disease, Australia, Cohort Studies, Female, Heart Disease Risk Factors, Humans, Male, Risk Factors}, issn = {2574-3805}, doi = {10.1001/jamanetworkopen.2023.31460}, author = {Huque, Md Hamidul and Kootar, Scherazad and Eramudugolla, Ranmalee and Han, S Duke and Carlson, Michelle C and Lopez, Oscar L and Bennett, David A and Peters, Ruth and Anstey, Kaarin J} }