Racial and Ethnic Differences in Amyloid PET Positivity in Individuals With Mild Cognitive Impairment or Dementia: A Secondary Analysis of the Imaging Dementia-Evidence for Amyloid Scanning (IDEAS) Cohort Study.


Journal

JAMA neurology
ISSN: 2168-6157
Titre abrégé: JAMA Neurol
Pays: United States
ID NLM: 101589536

Informations de publication

Date de publication:
03 Oct 2022
Historique:
entrez: 3 10 2022
pubmed: 4 10 2022
medline: 4 10 2022
Statut: aheadofprint

Résumé

Racial and ethnic groups with higher rates of clinical Alzheimer disease (AD) are underrepresented in studies of AD biomarkers, including amyloid positron emission tomography (PET). To compare amyloid PET positivity among a diverse cohort of individuals with mild cognitive impairment (MCI) or dementia. Secondary analysis of the Imaging Dementia-Evidence for Amyloid Scanning (IDEAS), a single-arm multisite cohort study of Medicare beneficiaries who met appropriate-use criteria for amyloid PET imaging between February 2016 and September 2017 with follow-up through January 2018. Data were analyzed between April 2020 and January 2022. This study used 2 approaches: the McNemar test to compare amyloid PET positivity proportions between matched racial and ethnic groups and multivariable logistic regression to assess the odds of having a positive amyloid PET scan. IDEAS enrolled participants at 595 US dementia specialist practices. A total of 21 949 were enrolled and 4842 (22%) were excluded from the present analysis due to protocol violations, not receiving an amyloid PET scan, not having a positive or negative scan, or because of small numbers in some subgroups. In the IDEAS study, participants underwent a single amyloid PET scan. The main outcomes were amyloid PET positivity proportions and odds. Data from 17 107 individuals (321 Asian, 635 Black, 829 Hispanic, and 15 322 White) with MCI or dementia and amyloid PET were analyzed between April 2020 and January 2022. The median (range) age of participants was 75 (65-105) years; 8769 participants (51.3%) were female and 8338 (48.7%) were male. In the optimal 1:1 matching analysis (n = 3154), White participants had a greater proportion of positive amyloid PET scans compared with Asian participants (181 of 313; 57.8%; 95% CI, 52.3-63.2 vs 142 of 313; 45.4%; 95% CI, 39.9-50.9, respectively; P = .001) and Hispanic participants (482 of 780; 61.8%; 95% CI, 58.3-65.1 vs 425 of 780; 54.5%; 95% CI, 51.0-58.0, respectively; P = .003) but not Black participants (359 of 615; 58.4%; 95% CI, 54.4-62.2 vs 333 of 615; 54.1%; 95% CI, 50.2-58.0, respectively; P = .13). In the adjusted model, the odds of having a positive amyloid PET scan were lower for Asian participants (odds ratio [OR], 0.47; 95% CI, 0.37-0.59; P < .001), Black participants (OR, 0.71; 95% CI, 0.60-0.84; P < .001), and Hispanic participants (OR, 0.68; 95% CI, 0.59-0.79; P < .001) compared with White participants. Racial and ethnic differences found in amyloid PET positivity among individuals with MCI and dementia in this study may indicate differences in underlying etiology of cognitive impairment and guide future treatment and prevention approaches.

Identifiants

pubmed: 36190710
pii: 2796653
doi: 10.1001/jamaneurol.2022.3157
pmc: PMC9531087
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : NIA NIH HHS
ID : P30 AG072972
Pays : United States
Organisme : NIA NIH HHS
ID : R35 AG072362
Pays : United States

Commentaires et corrections

Type : CommentIn

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Auteurs

Consuelo H Wilkins (CH)

Department of Medicine, Division of Geriatric Medicine, Vanderbilt University Medical Center, Nashville, Tennessee.

Charles C Windon (CC)

Department of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco.

Peggye Dilworth-Anderson (P)

Health Policy and Management, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill.

Justin Romanoff (J)

Center for Statistical Sciences, Brown University School of Public Health, Providence, Rhode Island.

Constantine Gatsonis (C)

Center for Statistical Sciences, Brown University School of Public Health, Providence, Rhode Island.
Department of Epidemiology, Brown University School of Public Health, Providence, Rhode Island.

Lucy Hanna (L)

Center for Statistical Sciences, Brown University School of Public Health, Providence, Rhode Island.

Charles Apgar (C)

Center for Research and Innovation, American College of Radiology, Reston, Virginia.

Ilana F Gareen (IF)

Center for Statistical Sciences, Brown University School of Public Health, Providence, Rhode Island.
Department of Epidemiology, Brown University School of Public Health, Providence, Rhode Island.

Carl V Hill (CV)

Alzheimer's Association, Chicago, Illinois.

Bruce E Hillner (BE)

Department of Medicine, Virginia Commonwealth University, Richmond.

Andrew March (A)

Center for Research and Innovation, American College of Radiology, Philadelphia, Pennsylvania.

Barry A Siegel (BA)

Edward Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Missouri.

Rachel A Whitmer (RA)

Division of Research, Kaiser Permanente, Oakland, California.
Department of Public Health Sciences, University of California, Davis.

Maria C Carrillo (MC)

Alzheimer's Association, Chicago, Illinois.

Gil D Rabinovici (GD)

Department of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco.
Associate Editor, JAMA Neurology.
Department of Radiology & Biomedical Imaging, University of California, San Francisco.

Classifications MeSH