Open AccessA new computerized assessment battery for cognition (C-ABC) to detect mild cognitive impairment and dementia around 5 min
Author(s) -
Moeko NoguchiShinohara,
Chiaki Domoto,
Taketoshi Yoshida,
Kozue Niwa,
Sohshi Yuki-Nozaki,
Miharu Samuraki-Yokohama,
Kenji Sakai,
Tetsuya Hamaguchi,
Kenjiro Ono,
Kazuo Iwasa,
Ichiro Matsunari,
Koichiro Komai,
Hiroyuki Nakamura,
Masahito Yamada
Publication year - 2020
Publication title -
plos one
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.99
H-Index - 332
ISSN - 1932-6203
DOI - 10.1371/journal.pone.0243469
Subject(s) - dementia , cognitive impairment , cognition , medicine , psychology , psychiatry , disease
This study aimed to develop a new computerized assessment battery for cognition (C-ABC) to detect mild cognitive impairment (MCI) and dementia. We performed C-ABC in subjects with dementia ( n = 422), MCI ( n = 145), and normal cognition (NC; n = 574), and analyzed by age stratum (50s, 60s, and 70–85 years). To distinguish MCI from NC, the C-ABC total combined score, which were calculated by dividing the C-ABC total score by the C-ABC required time, revealed the best area under the curves (AUC) at 0.838 and 0.735 in the 50s and 60s age groups, respectively; notably, this entire procedure took approximately 5 min. To distinguish dementia from NC and MCI, the partial items of C-ABC (items 3 + 6 combined score) revealed the best AUCs at 0.910, 0.874, and 0.882 in the 50s, 60s, and 70–85 age groups, respectively. Furthermore, the items 3 + 6 combined score established the best AUC at 0.794 in the 70–85 age group to distinguish MCI from NC; this entire procedure took around 2 min. Hence, this study suggests that C-ABC could be a useful tool for detecting dementia or MCI in a short time.