A blood screening tool for detecting mild cognitive impairment and Alzheimer's disease among community-dwelling Mexican Americans and non-Hispanic Whites: A method for increasing representation of diverse populations in clinical research

Alzheimers Dement. 2022 Jan;18(1):77-87. doi: 10.1002/alz.12382. Epub 2021 May 31.

Abstract

Introduction: Representation of Mexican Americans in Alzheimer's disease (AD) clinical research has been extremely poor.

Methods: Data were examined from the ongoing community-based, multi-ethnic Health & Aging Brain among Latino Elders (HABLE) study. Participants underwent functional exams, clinical labs, neuropsychological testing, and 3T magnetic resonance imaging of the brain. Fasting proteomic markers were examined for predicting mild cognitive impairment (MCI) and AD using support vector machine models.

Results: Data were examined from n = 1649 participants (Mexican American n = 866; non-Hispanic White n = 783). Proteomic profiles were highly accurate in detecting MCI (area under the curve [AUC] = 0.91) and dementia (AUC = 0.95). The proteomic profiles varied significantly between ethnic groups and disease state. Negative predictive value was excellent for ruling out MCI and dementia across ethnic groups.

Discussion: A blood-based screening tool can serve as a method for increasing access to state-of-the-art AD clinical research by bridging between community-based and clinic-based settings.

Keywords: Alzheimer's disease; Hispanic; Mexican American; diversity; inclusion; mild cognitive impairment; screening tool.

Publication types

  • Research Support, N.I.H., Extramural

MeSH terms

  • Aged
  • Alzheimer Disease / blood*
  • Alzheimer Disease / diagnosis*
  • Alzheimer Disease / ethnology
  • Biomarkers / blood
  • Cognitive Dysfunction / blood
  • Cognitive Dysfunction / diagnosis*
  • Female
  • Humans
  • Independent Living*
  • Male
  • Mass Screening*
  • Mexican Americans / statistics & numerical data*
  • Neuropsychological Tests
  • Patient Selection
  • Proteomics
  • White People / statistics & numerical data*

Substances

  • Biomarkers