@article{ed85e84dfe6749ea9e5bff96b6e4a946,
title = "Optimal cutoffs for the Montreal Cognitive Assessment vary by race and ethnicity",
abstract = "Introduction: The Montreal Cognitive Assessment (MoCA), scored from 0 to 30, is used as a screening tool for mild cognitive impairment (MCI). The current cutoff (26) may not be optimal among minorities. Methods: Data from the National Alzheimer's Coordinating Center Uniform Data Set March 2018 data freeze was used to calculate optimal cutoffs for detection of MCI and dementia by race/ethnic group and education. Results: Of the 3895 individuals included, 80.7% were non-Hispanic White, 15.0% were non-Hispanic Black, and 4.2% were Hispanic. Optimal cutoffs for detection of MCI were 25 among non-Hispanic Whites, 24 among Hispanics, and 23 among non-Hispanic Blacks. Optimal cutoffs for detection of dementia were 19 among non-Hispanic Whites and 16 for both non-Hispanic Blacks and Hispanics. Lower educational attainment produced lower optimal cutoffs. Discussion: Our findings suggest cutoffs may need to be stratified by race/ethnicity and education to ensure detecting MCI from normal and MCI from dementia.",
keywords = "Alzheimer's disease, Dementia, Disparities, Education, Ethnicity, Montreal Cognitive Assessment, Race, Screening",
author = "Milani, {Sadaf Arefi} and Michael Marsiske and Cottler, {Linda B.} and Xinguang Chen and Striley, {Catherine W.}",
note = "Funding Information: This work was supported in part by the 1Florida Alzheimer's Disease Research Center [NIH P50 AG047266], sponsored by the National Institute on Aging (NIA) which governs Alzheimer's Disease Research Centers through the National Alzheimer's Coordinating Center, by the Department of Epidemiology with funding from the College of Medicine and College of Public Health and Health Professions, and by the Graduate School Fellowship with funding from the University of Florida Graduate School. The National Alzheimer's Coordinating Center (NACC) database is funded by National Institute on Aging /National Institutes of Health Grant U01 AG016976 . NACC data are contributed by the NIA-funded Alzheimer's Disease Centers: P30 AG019610 (principal investigator [PI] Eric Reiman, MD), P30 AG013846 (PI Neil Kowall, MD), P50 AG008702 (PI Scott Small, MD), P50 AG025688 (PI Allan Levey, MD, PhD), P50 AG047266 (PI Todd Golde, MD, PhD), P30 AG010133 (PI Andrew Saykin, PsyD), P50 AG005146 (PI Marilyn Albert, PhD), P50 AG005134 (PI Bradley Hyman, MD, PhD), P50 AG016574 (PI Ronald Petersen, MD, PhD), P50 AG005138 (PI Mary Sano, PhD), P30 AG008051 (PI Thomas Wisniewski, MD), P30 AG013854 (PI M. Marsel Mesulam, MD), P30 AG008017 (PI Jeffrey Kaye, MD), P30 AG010161 (PI David Bennett, MD), P50 AG047366 (PI Victor Henderson, MD, MS), P30 AG010129 (PI Charles DeCarli, MD), P50 AG016573 (PI Frank LaFerla, PhD), P50 AG005131 (PI James Brewer, MD, PhD), P50 AG023501 (PI Bruce Miller, MD), P30 AG035982 (PI Russell Swerdlow, MD), P30 AG028383 (PI Linda Van Eldik, PhD), P30 AG053760 (PI Henry Paulson, MD, PhD), P30 AG010124 (PI John Trojanowski, MD, PhD), P50 AG005133 (PI Oscar Lopez, MD), P50 AG005142 (PI Helena Chui, MD), P30 AG012300 (PI Roger Rosenberg, MD), P30 AG049638 (PI Suzanne Craft, PhD), P50 AG005136 (PI Thomas Grabowski, MD), P50 AG033514 (PI Sanjay Asthana, MD, FRCP), P50 AG005681 (PI John Morris, MD), and P50 AG047270 (PI Stephen Strittmatter, MD, PhD). Publisher Copyright: {\textcopyright} 2018 The Authors",
year = "2018",
doi = "10.1016/j.dadm.2018.09.003",
language = "English (US)",
volume = "10",
pages = "773--781",
journal = "Alzheimer's and Dementia: Diagnosis, Assessment and Disease Monitoring",
issn = "2352-8729",
publisher = "Elsevier BV",
}