Estimating dementia risk in an African American population using the DCTclock
The prevalence of Alzheimer’s disease (AD) and related dementias (ADRD) is increasing. African Americans are twice as likely to develop dementia than other ethnic populations. Traditional cognitive screening solutions lack the sensitivity to independently identify individuals at risk for cognitive d...
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Format: | Article |
Language: | English |
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Frontiers Media S.A.
2024-01-01
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Series: | Frontiers in Aging Neuroscience |
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Online Access: | https://www.frontiersin.org/articles/10.3389/fnagi.2023.1328333/full |
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author | Marissa Ciesla Jeff Pobst Joyce Gomes-Osman Joyce Gomes-Osman Melissa Lamar Melissa Lamar Lisa L. Barnes Lisa L. Barnes Russell Banks Russell Banks Ali Jannati Ali Jannati David Libon David Libon Rodney Swenson Rodney Swenson Sean Tobyne David Bates John Showalter Alvaro Pascual-Leone Alvaro Pascual-Leone Alvaro Pascual-Leone |
author_facet | Marissa Ciesla Jeff Pobst Joyce Gomes-Osman Joyce Gomes-Osman Melissa Lamar Melissa Lamar Lisa L. Barnes Lisa L. Barnes Russell Banks Russell Banks Ali Jannati Ali Jannati David Libon David Libon Rodney Swenson Rodney Swenson Sean Tobyne David Bates John Showalter Alvaro Pascual-Leone Alvaro Pascual-Leone Alvaro Pascual-Leone |
author_sort | Marissa Ciesla |
collection | DOAJ |
description | The prevalence of Alzheimer’s disease (AD) and related dementias (ADRD) is increasing. African Americans are twice as likely to develop dementia than other ethnic populations. Traditional cognitive screening solutions lack the sensitivity to independently identify individuals at risk for cognitive decline. The DCTclock is a 3-min AI-enabled adaptation of the well-established clock drawing test. The DCTclock can estimate dementia risk for both general cognitive impairment and the presence of AD pathology. Here we performed a retrospective analysis to assess the performance of the DCTclock to estimate future conversion to ADRD in African American participants from the Rush Alzheimer’s Disease Research Center Minority Aging Research Study (MARS) and African American Clinical Core (AACORE). We assessed baseline DCTclock scores in 646 participants (baseline median age = 78.0 ± 6.4, median years of education = 14.0 ± 3.2, 78% female) and found significantly lower baseline DCTclock scores in those who received a dementia diagnosis within 3 years. We also found that 16.4% of participants with a baseline DCTclock score less than 60 were significantly more likely to develop dementia in 5 years vs. those with the highest DCTclock scores (75–100). This research demonstrates the DCTclock’s ability to estimate the 5-year risk of developing dementia in an African American population. Early detection of elevated dementia risk using the DCTclock could provide patients, caregivers, and clinicians opportunities to plan and intervene early to improve cognitive health trajectories. Early detection of dementia risk can also enhance participant selection in clinical trials while reducing screening costs. |
first_indexed | 2024-03-08T14:31:03Z |
format | Article |
id | doaj.art-73a0c21cdbcb4826b725031f401295d3 |
institution | Directory Open Access Journal |
issn | 1663-4365 |
language | English |
last_indexed | 2024-03-08T14:31:03Z |
publishDate | 2024-01-01 |
publisher | Frontiers Media S.A. |
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series | Frontiers in Aging Neuroscience |
spelling | doaj.art-73a0c21cdbcb4826b725031f401295d32024-01-12T10:55:54ZengFrontiers Media S.A.Frontiers in Aging Neuroscience1663-43652024-01-011510.3389/fnagi.2023.13283331328333Estimating dementia risk in an African American population using the DCTclockMarissa Ciesla0Jeff Pobst1Joyce Gomes-Osman2Joyce Gomes-Osman3Melissa Lamar4Melissa Lamar5Lisa L. Barnes6Lisa L. Barnes7Russell Banks8Russell Banks9Ali Jannati10Ali Jannati11David Libon12David Libon13Rodney Swenson14Rodney Swenson15Sean Tobyne16David Bates17John Showalter18Alvaro Pascual-Leone19Alvaro Pascual-Leone20Alvaro Pascual-Leone21Linus Health, Boston, MA, United StatesLinus Health, Boston, MA, United StatesLinus Health, Boston, MA, United StatesDepartment of Neurology, University of Miami Miller School of Medicine, Miami, FL, United StatesRush Alzheimer’s Disease Center, Chicago, IL, United StatesDepartment of Psychiatry and Behavioral Sciences, Rush University Medical Center, Chicago, IL, United StatesRush Alzheimer’s Disease Center, Chicago, IL, United StatesDepartment of Neurological Sciences, Rush University Medical Center, Chicago, IL, United StatesLinus Health, Boston, MA, United StatesDepartment of Communicative Sciences and Disorders, College of Arts and Sciences, Michigan State University, East Lansing, MI, United StatesLinus Health, Boston, MA, United StatesDepartment of Neurology, Harvard Medical School, Boston, MA, United StatesLinus Health, Boston, MA, United StatesDepartment of Geriatrics and Gerontology, New Jersey Institute for Successful Aging, Rowan University School of Osteopathic Medicine, Stratford, NJ, United StatesLinus Health, Boston, MA, United StatesUniversity of North Dakota School of Medicine and Health Sciences, Fargo, ND, United StatesLinus Health, Boston, MA, United StatesLinus Health, Boston, MA, United StatesLinus Health, Boston, MA, United StatesLinus Health, Boston, MA, United StatesDepartment of Neurology, Harvard Medical School, Boston, MA, United States0Hinda and Arthur Marcus Institute for Aging Research and Deanna and Sidney Wolk Center for Memory Health, Hebrew SeniorLife, Boston, MA, United StatesThe prevalence of Alzheimer’s disease (AD) and related dementias (ADRD) is increasing. African Americans are twice as likely to develop dementia than other ethnic populations. Traditional cognitive screening solutions lack the sensitivity to independently identify individuals at risk for cognitive decline. The DCTclock is a 3-min AI-enabled adaptation of the well-established clock drawing test. The DCTclock can estimate dementia risk for both general cognitive impairment and the presence of AD pathology. Here we performed a retrospective analysis to assess the performance of the DCTclock to estimate future conversion to ADRD in African American participants from the Rush Alzheimer’s Disease Research Center Minority Aging Research Study (MARS) and African American Clinical Core (AACORE). We assessed baseline DCTclock scores in 646 participants (baseline median age = 78.0 ± 6.4, median years of education = 14.0 ± 3.2, 78% female) and found significantly lower baseline DCTclock scores in those who received a dementia diagnosis within 3 years. We also found that 16.4% of participants with a baseline DCTclock score less than 60 were significantly more likely to develop dementia in 5 years vs. those with the highest DCTclock scores (75–100). This research demonstrates the DCTclock’s ability to estimate the 5-year risk of developing dementia in an African American population. Early detection of elevated dementia risk using the DCTclock could provide patients, caregivers, and clinicians opportunities to plan and intervene early to improve cognitive health trajectories. Early detection of dementia risk can also enhance participant selection in clinical trials while reducing screening costs.https://www.frontiersin.org/articles/10.3389/fnagi.2023.1328333/fulldementiaDCTclockAlzheimer’s diseasedementia estimationRush Alzheimer’s Disease Research CenterMinority Aging Research Study (MARS) |
spellingShingle | Marissa Ciesla Jeff Pobst Joyce Gomes-Osman Joyce Gomes-Osman Melissa Lamar Melissa Lamar Lisa L. Barnes Lisa L. Barnes Russell Banks Russell Banks Ali Jannati Ali Jannati David Libon David Libon Rodney Swenson Rodney Swenson Sean Tobyne David Bates John Showalter Alvaro Pascual-Leone Alvaro Pascual-Leone Alvaro Pascual-Leone Estimating dementia risk in an African American population using the DCTclock Frontiers in Aging Neuroscience dementia DCTclock Alzheimer’s disease dementia estimation Rush Alzheimer’s Disease Research Center Minority Aging Research Study (MARS) |
title | Estimating dementia risk in an African American population using the DCTclock |
title_full | Estimating dementia risk in an African American population using the DCTclock |
title_fullStr | Estimating dementia risk in an African American population using the DCTclock |
title_full_unstemmed | Estimating dementia risk in an African American population using the DCTclock |
title_short | Estimating dementia risk in an African American population using the DCTclock |
title_sort | estimating dementia risk in an african american population using the dctclock |
topic | dementia DCTclock Alzheimer’s disease dementia estimation Rush Alzheimer’s Disease Research Center Minority Aging Research Study (MARS) |
url | https://www.frontiersin.org/articles/10.3389/fnagi.2023.1328333/full |
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