• Medientyp: E-Artikel
  • Titel: Computer-based cognitive tests and cerebral pathology among Japanese older adults
  • Beteiligte: Shimada, Hiroyuki; Makino, Keitaro; Kato, Takashi; Ito, Kengo
  • Erschienen: Springer Science and Business Media LLC, 2023
  • Erschienen in: BMC Geriatrics
  • Sprache: Englisch
  • DOI: 10.1186/s12877-023-03918-x
  • ISSN: 1471-2318
  • Schlagwörter: Geriatrics and Gerontology
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  • Beschreibung: <jats:title>Abstract</jats:title><jats:sec> <jats:title>Background</jats:title> <jats:p>This study aimed to identify the appropriate computer-based cognitive tests and cut-off values for estimating amyloid burden in preclinical Alzheimer’s disease drug trials.</jats:p> </jats:sec><jats:sec> <jats:title>Methods</jats:title> <jats:p>Data from 103 older individuals, who underwent <jats:sup>18</jats:sup>F-florbetapir positron emission tomography and cognitive testing, were analyzed. Cognitive tests evaluated word list memory (immediate recognition and delayed recall), attention (Trail Making Test-part A), executive function (Trail Making Test-Part B), and processing speed (Digit Symbol Substitution Test [DSST]).</jats:p> </jats:sec><jats:sec> <jats:title>Results</jats:title> <jats:p>The Aβ burden was significantly associated with word list memory (odds ratio [OR] = 0.42, 95% confidence interval [CI], 0.19–0.91) and DSST (OR = 0.35; 95% CI, 0.14–0.85). Positive predictive value and number needed to screen at a cut-off of 1.5 SD were better for word list memory and DSST among predictive values.</jats:p> </jats:sec><jats:sec> <jats:title>Conclusions</jats:title> <jats:p>The computer-based memory and processing speed tests have the potential to reduce failure rates while screening individuals with Aβ accumulation in community settings.</jats:p> </jats:sec>
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