Division of Neurocognitive Disorders, Department of Psychiatry and Psychology, Mayo Clinic, Rochester, Minnesota, USA.
Division of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, USA.
Alzheimers Dement. 2021 Apr;17(4):584-594. doi: 10.1002/alz.12219. Epub 2021 Mar 1.
This study evaluated the diagnostic accuracy of the Cogstate Brief Battery (CBB) for mild cognitive impairment (MCI) and prodromal Alzheimer's disease (AD) in a population-based sample.
Participants included adults ages 50+ classified as cognitively unimpaired (CU, n = 2866) or MCI (n = 226), and a subset with amyloid (A) and tau (T) positron emission tomography who were AD biomarker negative (A-T-) or had prodromal AD (A+T+).
Diagnostic accuracy of the Learning/Working Memory Composite (Lrn/WM) for discriminating all CU and MCI was moderate (area under the curve [AUC] = 0.75), but improved when discriminating CU A-T- and MCI A+T+ (AUC = 0.93) and when differentiating MCI participants without AD biomarkers from those with prodromal AD (AUC = 0.86). Conventional cut-offs yielded lower than expected sensitivity for both MCI (38%) and prodromal AD (73%).
Clinical utility of the CBB for detecting MCI in a population-based sample is lower than expected. Caution is needed when using currently available CBB normative data for clinical interpretation.
本研究评估了 Cogstate 简明电池(CBB)在基于人群的样本中对轻度认知障碍(MCI)和前驱阿尔茨海默病(AD)的诊断准确性。
参与者包括年龄在 50 岁及以上的认知正常(CU,n=2866)或 MCI(n=226)成年人,以及一部分具有淀粉样(A)和tau(T)正电子发射断层扫描的个体,他们的 AD 生物标志物为阴性(A-T-)或患有前驱 AD(A+T+)。
学习/工作记忆综合评分(Lrn/WM)区分所有 CU 和 MCI 的诊断准确性为中等(曲线下面积 [AUC] = 0.75),但在区分 CU A-T-和 MCI A+T+(AUC = 0.93)以及区分无 AD 生物标志物的 MCI 参与者和前驱 AD 参与者时(AUC = 0.86)有所提高。传统的截断值对 MCI(38%)和前驱 AD(73%)的敏感性均低于预期。
CBB 在基于人群的样本中检测 MCI 的临床实用性低于预期。在进行临床解释时,使用当前可用的 CBB 正常数据需要谨慎。