Cleo Roberts Center for Clinical Research, Banner Sun Health Research Institute, 10515 W. Santa Fe Drive, Sun City, AZ 85351, USA.
Age Ageing. 2012 May;41(3):396-9. doi: 10.1093/ageing/afs008. Epub 2012 Feb 23.
accurately identifying individuals with cognitive impairment is difficult. Given the time constraints that many clinicians face, assessment of cognitive status is often not undertaken. The intent of this study is to determine the diagnostic accuracy of the Alzheimer's questionnaire (AQ) in identifying individuals with mild cognitive impairment (MCI) and AD.
utilising a case-control design, 300 [100 AD, 100 MCI, 100 cognitively normal (CN)] older adults between the ages of 53 and 93 from a neurology practice and a brain donation programme had the AQ administered to an informant. Diagnostic accuracy was assessed through receiver-operating characteristic analysis, which yielded sensitivity, specificity and area under the curve (AUC).
the AQ demonstrated high sensitivity and specificity for detecting MCI [89.00 (81.20-94.40)]; [91.00 (83.60-65.80)] and AD [99.00 (94.60-100.00)]; [96.00 (90.10-98.90)]. AUC values also indicated high diagnostic accuracy for both MCI [0.95 (0.91-0.97)] and AD [0.99 (0.96-1.00)]. Internal consistency of the AQ was also high (Cronbach's alpha = 0.89).
the AQ is a valid informant-based instrument for identifying cognitive impairment, which could be easily implemented in a clinician's practice. It has high sensitivity and specificity in detecting both MCI and AD and allows clinicians to quickly and accurately assess individuals with reported cognitive problems.
准确识别认知障碍个体具有一定难度。鉴于许多临床医生面临的时间限制,认知状态评估往往无法进行。本研究旨在确定阿尔茨海默病问卷(AQ)在识别轻度认知障碍(MCI)和 AD 个体中的诊断准确性。
利用病例对照设计,从神经病学实践和脑捐赠计划中招募了 300 名年龄在 53 至 93 岁之间的老年人(100 名 AD、100 名 MCI、100 名认知正常(CN)),由知情人对他们进行 AQ 测试。通过受试者工作特征分析评估诊断准确性,得出灵敏度、特异性和曲线下面积(AUC)。
AQ 对 MCI 的检测具有较高的灵敏度和特异性[89.00(81.20-94.40)];[91.00(83.60-65.80)]和 AD [99.00(94.60-100.00)];[96.00(90.10-98.90)]。AUC 值也表明 MCI 的诊断准确性较高[0.95(0.91-0.97)]和 AD [0.99(0.96-1.00)]。AQ 的内部一致性也很高(Cronbach's alpha = 0.89)。
AQ 是一种有效的基于知情人的认知障碍识别工具,可在临床医生的实践中轻松实施。它在检测 MCI 和 AD 方面具有较高的灵敏度和特异性,并使临床医生能够快速准确地评估报告有认知问题的个体。