Department of Neurology and Neurobiology of Aging, Kanazawa University Graduate School of Medical Sciences, Kanazawa University, Kanazawa, Japan.
Department of Preemptive Medicine for Dementia, Kanazawa University Graduate School of Medical Sciences, Kanazawa University, Kanazawa, Japan.
PLoS One. 2020 Dec 11;15(12):e0243469. doi: 10.1371/journal.pone.0243469. eCollection 2020.
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.
本研究旨在开发一种新的计算机认知评估电池 (C-ABC)，以检测轻度认知障碍 (MCI) 和痴呆症。我们对痴呆症患者 (n=422)、MCI 患者 (n=145) 和认知正常者 (NC; n=574) 进行了 C-ABC 测试，并按年龄分层 (50 多岁、60 多岁和 70-85 岁) 进行分析。为了将 MCI 与 NC 区分开来，C-ABC 总合并评分（通过将 C-ABC 总分除以 C-ABC 所需时间计算得出）在 50 多岁和 60 多岁年龄组中的曲线下面积（AUC）分别达到最佳的 0.838 和 0.735；值得注意的是，整个过程大约需要 5 分钟。为了将痴呆症与 NC 和 MCI 区分开来，C-ABC 的部分项目（项目 3+6 合并评分）在 50 多岁、60 多岁和 70-85 岁年龄组中的 AUC 最佳值分别为 0.910、0.874 和 0.882。此外，项目 3+6 合并评分在 70-85 岁年龄组中区分 MCI 与 NC 的 AUC 最佳值为 0.794；整个过程大约需要 2 分钟。因此，本研究表明，C-ABC 可能是一种在短时间内检测痴呆症或 MCI 的有用工具。
