{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,28]],"date-time":"2026-04-28T17:36:23Z","timestamp":1777397783800,"version":"3.51.4"},"reference-count":51,"publisher":"SAGE Publications","issue":"4","license":[{"start":{"date-parts":[[2025,9,12]],"date-time":"2025-09-12T00:00:00Z","timestamp":1757635200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Journal of Alzheimer\u2019s Disease"],"published-print":{"date-parts":[[2025,10]]},"abstract":"<jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Understanding associations between cognitive performance and blood biomarkers supports diagnosis and treatment of Alzheimer's disease (AD); however, this relationship remains unclear.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>Exploring associations between the Amyloid Probability Score (APS; PrecivityAD\u00ae blood test) and cognitive performance, and between Mini-Mental State Examination (MMSE) and Cogstate Brief Battery (CBB) in cognitively impaired older adults.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>Older adults aged\u2009\u2265\u200960 years with MMSE from 10 to 27, recruited from a cohort in Japan, were assessed with the CBB, and plasma biomarkers to calculate APS. We used Spearman correlation to explore relationships; receiver operating curves and cross-validation to identify the best model for predicting high APS.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Among 46 participants (mean age\u2009=\u200978.3\u2009\u00b1\u20095.9; mean MMSE\u2009=\u200920.3\u2009\u00b1\u20094.6), 39.1% did not complete at least one test in the CBB. Lower MMSE were observed in those who were non-completers. MMSE correlated with Detection (Psychomotor function), Identification (Attention), and their composite (r\u2009=\u20090.34\u22120.52; p\u2009&lt;\u20090.05; 95%CI excluding null value). Higher APS was seen in those who did not complete the One Card Learning (OCL-visual learning and short-term memory). The best model for predicting High APS included OCL completion status, MMSE and Years of Education, achieving accuracy\u2009=\u20090.808 and kappa\u2009=\u20090.606 in participants with MMSE\u2009&lt;\u200921.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>Our findings suggest a consideration of incompletion when using CBB in cognitively impaired older adults and a potential approach to differentiate High APS group among those with moderate to severe dementia based on visual learning and short-term memory, global cognition and education level.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1177\/13872877251372958","type":"journal-article","created":{"date-parts":[[2025,9,12]],"date-time":"2025-09-12T15:51:16Z","timestamp":1757692276000},"page":"1661-1673","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":0,"title":["Cognitive performance and blood biomarkers: Insights into their relationship and predicting high Amyloid Probability Score in cognitively impaired older adults"],"prefix":"10.1177","volume":"107","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5264-6095","authenticated-orcid":false,"given":"Thi Quynh","family":"Tho Chu","sequence":"first","affiliation":[{"name":"Division of Cognitive and Psychiatric Rehabilitation, Department of Rehabilitation Science, Kobe University Graduate School of Health Sciences, Suma-ku, Kobe, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kohei","family":"Morimoto","sequence":"additional","affiliation":[{"name":"Division of Neurology, Kobe University Graduate School of Medicine, Chuo-ku, Kobe, Japan"},{"name":"Division of Integrated Analyses of Bioresource and Health Care, Kobe University Graduate School of Medicine, Chuo-ku, Kobe, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5300-8589","authenticated-orcid":false,"given":"Hisatomo","family":"Kowa","sequence":"additional","affiliation":[{"name":"Division of Cognitive and Psychiatric Rehabilitation, Department of Rehabilitation Science, Kobe University Graduate School of Health Sciences, Suma-ku, Kobe, Japan"},{"name":"Division of Neurology, Kobe University Graduate School of Medicine, Chuo-ku, Kobe, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2025,9,12]]},"reference":[{"key":"e_1_3_4_2_2","unstructured":"World Health Organization. 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