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Demographic information (age, sex, education, race) was self-reported. Clinical consensus phenotypes (dementia of the Alzheimer Type (DAT), mild cognitive impairment (MCI), cognitively unimpaired (CU) were based on neuropsychological assessments. Logistic regression with machine learning for model variable selection was used to compare participants by clinical phenotypes.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Comparing CU and DAT participants, areas under the curve (AUCs) from receiver operator characteristic curves of single biomarker models ranged from 0.74\u20130.89. Optimal performance (AUC 99.7) was observed from stepwise regression with backward selection, which identified pTau-217, GFAP, sex, education,\n                      <jats:italic toggle=\"yes\">APOE<\/jats:italic>\n                      \u03b54 allele, and race as model variables. When comparing MCI and DAT participants, only pTau-217 differed significantly (AUC 0.80). pTau-181 and pTau-217 levels were higher in white participants than Black\/African American participants across all clinical phenotypes.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>Plasma biomarkers demonstrate promise for improving diagnostic accuracy in diverse research cohorts. Incorporating demographic variables facilitates enhanced interpretability of biomarker levels and the development of reference ranges.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1177\/13872877251393405","type":"journal-article","created":{"date-parts":[[2025,11,10]],"date-time":"2025-11-10T17:08:47Z","timestamp":1762794527000},"page":"247-265","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":3,"title":["Evaluation of a panel of plasma biomarkers for Alzheimer's disease in a diverse research cohort"],"prefix":"10.1177","volume":"109","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1349-1983","authenticated-orcid":false,"given":"Kelly N","family":"DuBois","sequence":"first","affiliation":[{"name":"Department of Translational Neuroscience, College of Human Medicine, Michigan State University, Grand Rapids, MI, USA"},{"name":"Michigan Alzheimer's Disease Research Center, University of Michigan, Ann Arbor, 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