Risk prediction models for dementia: role of age and cardiometabolic risk factors

Abstract Background Cardiovascular Risk Factors, Aging, and Incidence of Dementia (CAIDE) risk score is the only currently available midlife risk score for dementia. We compared CAIDE to Framingham cardiovascular Risk Score (FRS) and FINDRISC diabetes score as predictors of dementia and assessed the...

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Main Authors: Aurore Fayosse, Dinh-Phong Nguyen, Aline Dugravot, Julien Dumurgier, Adam G. Tabak, Mika Kivimäki, Séverine Sabia, Archana Singh-Manoux
Format: Article
Language:English
Published: BMC 2020-05-01
Series:BMC Medicine
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Online Access:http://link.springer.com/article/10.1186/s12916-020-01578-x
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spelling doaj-7792553295a0429fba46301ce91fdd002020-11-25T02:49:00ZengBMCBMC Medicine1741-70152020-05-0118111010.1186/s12916-020-01578-xRisk prediction models for dementia: role of age and cardiometabolic risk factorsAurore Fayosse0Dinh-Phong Nguyen1Aline Dugravot2Julien Dumurgier3Adam G. Tabak4Mika Kivimäki5Séverine Sabia6Archana Singh-Manoux7Inserm U1153, Epidemiology of Ageing and Neurodegenerative diseases, Université de ParisInserm U1153, Epidemiology of Ageing and Neurodegenerative diseases, Université de ParisInserm U1153, Epidemiology of Ageing and Neurodegenerative diseases, Université de ParisInserm U1153, Epidemiology of Ageing and Neurodegenerative diseases, Université de ParisInserm U1153, Epidemiology of Ageing and Neurodegenerative diseases, Université de ParisDepartment of Epidemiology and Public Health, University College LondonInserm U1153, Epidemiology of Ageing and Neurodegenerative diseases, Université de ParisInserm U1153, Epidemiology of Ageing and Neurodegenerative diseases, Université de ParisAbstract Background Cardiovascular Risk Factors, Aging, and Incidence of Dementia (CAIDE) risk score is the only currently available midlife risk score for dementia. We compared CAIDE to Framingham cardiovascular Risk Score (FRS) and FINDRISC diabetes score as predictors of dementia and assessed the role of age in their associations with dementia. We then examined whether these risk scores were associated with dementia in those free of cardiometabolic disease over the follow-up. Methods A total of 7553 participants, 39–63 years in 1991–1993, were followed for cardiometabolic disease (diabetes, coronary heart disease, stroke) and dementia (N = 318) for a mean 23.5 years. Cox regression was used to model associations of age at baseline, CAIDE, FRS, and FINDRISC risk scores with incident dementia. Predictive performance was assessed using Royston’s R 2, Harrell’s C-index, Akaike’s information criterion (AIC), the Greenwood-Nam-D’Agostino (GND) test, and calibration-in-the-large. Age effect was also assessed by stratifying analyses by age group. Finally, in multistate models, we examined whether cardiometabolic risk scores were associated with incidence of dementia in persons who remained free of cardiometabolic disease over the follow-up. Results Among the risk scores, the predictive performance of CAIDE (C-statistic = 0.714; 95% CI 0.690–0.739) and FRS (C-statistic = 0.719; 95% CI 0.693–0.745) scores was better than FINDRISC (C-statistic = 0.630; 95% CI 0.602–0.659); p < 0.001), AIC difference > 3; R 2 32.5%, 32.0%, and 12.5%, respectively. When the effect of age in these risk scores was removed by drawing data on risk scores at age 55, 60, and 65 years, the association with dementia in all age groups remained for FRS and FINDRISC, but not for CAIDE. Only FRS at age 55 was associated with dementia in persons who remained free of cardiometabolic diseases prior to dementia diagnosis while no such association was observed at older ages for any risk score. Conclusions Our analyses of CAIDE, FRS, and FINDRISC show the FRS in midlife to predict dementia as well as the CAIDE risk score, its predictive value being also evident among individuals who did not develop cardiometabolic events. The importance of age in the predictive performance of all three risk scores highlights the need for the development of multivariable risk scores in midlife for primary prevention of dementia.http://link.springer.com/article/10.1186/s12916-020-01578-xCAIDEDementia risk scoreDementiaCardiometabolic risk factors
collection DOAJ
language English
format Article
sources DOAJ
author Aurore Fayosse
Dinh-Phong Nguyen
Aline Dugravot
Julien Dumurgier
Adam G. Tabak
Mika Kivimäki
Séverine Sabia
Archana Singh-Manoux
spellingShingle Aurore Fayosse
Dinh-Phong Nguyen
Aline Dugravot
Julien Dumurgier
Adam G. Tabak
Mika Kivimäki
Séverine Sabia
Archana Singh-Manoux
Risk prediction models for dementia: role of age and cardiometabolic risk factors
BMC Medicine
CAIDE
Dementia risk score
Dementia
Cardiometabolic risk factors
author_facet Aurore Fayosse
Dinh-Phong Nguyen
Aline Dugravot
Julien Dumurgier
Adam G. Tabak
Mika Kivimäki
Séverine Sabia
Archana Singh-Manoux
author_sort Aurore Fayosse
title Risk prediction models for dementia: role of age and cardiometabolic risk factors
title_short Risk prediction models for dementia: role of age and cardiometabolic risk factors
title_full Risk prediction models for dementia: role of age and cardiometabolic risk factors
title_fullStr Risk prediction models for dementia: role of age and cardiometabolic risk factors
title_full_unstemmed Risk prediction models for dementia: role of age and cardiometabolic risk factors
title_sort risk prediction models for dementia: role of age and cardiometabolic risk factors
publisher BMC
series BMC Medicine
issn 1741-7015
publishDate 2020-05-01
description Abstract Background Cardiovascular Risk Factors, Aging, and Incidence of Dementia (CAIDE) risk score is the only currently available midlife risk score for dementia. We compared CAIDE to Framingham cardiovascular Risk Score (FRS) and FINDRISC diabetes score as predictors of dementia and assessed the role of age in their associations with dementia. We then examined whether these risk scores were associated with dementia in those free of cardiometabolic disease over the follow-up. Methods A total of 7553 participants, 39–63 years in 1991–1993, were followed for cardiometabolic disease (diabetes, coronary heart disease, stroke) and dementia (N = 318) for a mean 23.5 years. Cox regression was used to model associations of age at baseline, CAIDE, FRS, and FINDRISC risk scores with incident dementia. Predictive performance was assessed using Royston’s R 2, Harrell’s C-index, Akaike’s information criterion (AIC), the Greenwood-Nam-D’Agostino (GND) test, and calibration-in-the-large. Age effect was also assessed by stratifying analyses by age group. Finally, in multistate models, we examined whether cardiometabolic risk scores were associated with incidence of dementia in persons who remained free of cardiometabolic disease over the follow-up. Results Among the risk scores, the predictive performance of CAIDE (C-statistic = 0.714; 95% CI 0.690–0.739) and FRS (C-statistic = 0.719; 95% CI 0.693–0.745) scores was better than FINDRISC (C-statistic = 0.630; 95% CI 0.602–0.659); p < 0.001), AIC difference > 3; R 2 32.5%, 32.0%, and 12.5%, respectively. When the effect of age in these risk scores was removed by drawing data on risk scores at age 55, 60, and 65 years, the association with dementia in all age groups remained for FRS and FINDRISC, but not for CAIDE. Only FRS at age 55 was associated with dementia in persons who remained free of cardiometabolic diseases prior to dementia diagnosis while no such association was observed at older ages for any risk score. Conclusions Our analyses of CAIDE, FRS, and FINDRISC show the FRS in midlife to predict dementia as well as the CAIDE risk score, its predictive value being also evident among individuals who did not develop cardiometabolic events. The importance of age in the predictive performance of all three risk scores highlights the need for the development of multivariable risk scores in midlife for primary prevention of dementia.
topic CAIDE
Dementia risk score
Dementia
Cardiometabolic risk factors
url http://link.springer.com/article/10.1186/s12916-020-01578-x
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