Greater than the sum of its parts: δ can be constructed from item level data

Donald R. Royall, Raymond F. Palmer, Teruyuki Matsuoka, Yuka Kato, Shogo Taniguchi, Mayu Ogawa, Hiroshi Fujimoto, Aiko Okamura, Keisuke Shibata, Kaeko Nakamura, Shutaro Nakaaki, Hiroyuki Koumi, Masaru Mimura, Kenji Fukui, Jin Narumoto

研究成果: Article査読

9 被引用数 (Scopus)

抄録

"δ", a latent variable constructed from cognitive performance and functional status measures, can accurately diagnose dementia. The minimal assessment needed is unknown. We have constructed a δ homolog, "dTexas", from Telephone Executive Assessment Scale (Texas) items, and validated it in a convenience sample of Japanese persons (n=176). dTexas scores correlated strongly with both Instrumental Activities of Daily Living (IADL) (r=-0.86, p< 0.001) and Clinical Dementia Rating Scale (CDR) (r=0.71, p< 0.001). Constructed independently of their diagnoses, dTexas scores accurately distinguished dementia versus controls (area under the receiver operating curve [(AUC; ROC)=0.92], dementia versus mild cognitive impairment (MCI) (AUC=0.80) and controls versus MCI (AUC=0.74). These AUCs are higher than those of multiple observed executive measures, as reported recently by Matsuoka et al., 2014. A dTexas score of -0.58 best discriminated between dementia versus controls with 90.1 sensitivity and 80.0 specificity.

本文言語English
ページ(範囲)571-579
ページ数9
ジャーナルJournal of Alzheimer's Disease
49
2
DOI
出版ステータスPublished - 2015 10 9

ASJC Scopus subject areas

  • Neuroscience(all)
  • Clinical Psychology
  • Geriatrics and Gerontology
  • Psychiatry and Mental health

フィンガープリント 「Greater than the sum of its parts: δ can be constructed from item level data」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル