White Joshua P, Schembri Adrian, Prenn-Gologranc Carmen, Ondrus Matej, Katina Stanislav, Novak Petr, Lim Yen Ying, Edgar Chris, Maruff Paul
Cogstate Ltd, Melbourne, Victoria, Australia.
AXON Neuroscience CRM Services SE, Bratislava, Slovakia.
J Alzheimers Dis. 2023;96(4):1781-1799. doi: 10.3233/JAD-230352.
The Cogstate Brief Battery (CBB) is a computerized cognitive test battery used commonly to identify cognitive deficits related to Alzheimer's disease (AD). However, AD and normative samples used to understand the sensitivity of the CBB to AD in the clinic have been limited, as have the outcome measures studied.
This study investigated the sensitivity of CBB outcomes, including potential composite scores, to cognitive impairment in mild cognitive impairment (MCI) and dementia due to AD, in carefully selected samples.
Samples consisted of 4,871 cognitively unimpaired adults and 184 adults who met clinical criteria for MCI (Clinical Dementia Rating (CDR) = 0.5) or dementia (CDR > 0.5) due to AD and CBB naive. Speed and accuracy measures from each test were examined, and theoretically- and statistically-derived composites were created. Sensitivity and specificity of classification of cognitive impairment were compared between outcomes.
Individual CBB measures of learning and working memory showed high discriminability for AD-related cognitive impairment for CDR 0.5 (AUCs ∼ 0.79-0.88), and CDR > 0.5 (AUCs ∼ 0.89-0.96) groups. Discrimination ability for theoretically derived CBB composite measures was high, particularly for the Learning and Working Memory (LWM) composite (CDR 0.5 AUC = 0.90, CDR > 0.5 AUC = 0.97). As expected, statistically optimized linear composite measures showed strong discrimination abilities albeit similar to the LWM composite.
In older adults, the CBB is effective for discriminating cognitive impairment due to MCI or AD-dementia from unimpaired cognition with the LWM composite providing the strongest sensitivity.
Cogstate简易成套测验（CBB）是一种计算机化认知测验组合，常用于识别与阿尔茨海默病（AD）相关的认知缺陷。然而，在临床上用于了解CBB对AD敏感性的AD样本和正常样本有限，所研究的结果指标也是如此。
本研究在精心挑选的样本中，调查CBB结果（包括潜在的综合得分）对轻度认知障碍（MCI）和AD所致痴呆中认知障碍的敏感性。
样本包括4871名认知未受损的成年人以及184名符合MCI临床标准（临床痴呆评定量表（CDR）=0.5）或AD所致痴呆（CDR>0.5）且未使用过CBB的成年人。检查了每项测验的速度和准确性指标，并创建了理论上和统计得出的综合指标。比较了各结果之间认知障碍分类的敏感性和特异性。
CBB中学习和工作记忆的个体测量指标对CDR 0.5（曲线下面积[AUCs]约为0.79 - 0.88）和CDR>0.5（AUCs约为0.89 - 0.96）组的AD相关认知障碍显示出高辨别力。理论上得出的CBB综合测量指标的辨别能力很高，尤其是学习和工作记忆（LWM）综合指标（CDR 0.5时AUC = 0.90，CDR>0.5时AUC = 0.97）。正如预期的那样，统计优化的线性综合指标显示出很强的辨别能力，尽管与LWM综合指标相似。
在老年人中，CBB能有效区分MCI或AD痴呆所致的认知障碍与未受损认知，其中LWM综合指标的敏感性最强。
