一个移动的交互式认知自我评估尺度,用于选由阿尔茨海默病引起的认知障碍
Kexin Xie1, Juan Huang2, Ting Chen3
1Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China.
Age and ageing
|January 25, 2025
概括
一个新的移动认知自我评估尺度 (CogSAS) 在社区环境中有效地选轻度认知障碍 (MCI) 和阿尔茨海默病 (AD). 这种数字工具具有很高的可靠性和有效性,有助于在不同人群中早期检测.
科学领域:
- 老年学是一门学科.
- 神经科学是一个神经科学.
- 数字健康数字健康
背景情况:
- 经过验证的移动认知秤用于社区查认知障碍很少.
- 现有的工具往往面临着社区环境中教育水平较低的挑战.
- 需要对轻度认知障碍 (MCI) 和阿尔茨海默病 (AD) 的可访问查工具.
研究的目的:
- 开发和验证一个移动的认知自我评估尺度 (CogSAS) 用于社区查.
- 为了确保规模对于受限教育的老年人来说是可行的.
- 评估CogSAS对MCI和AD的诊断准确性.
主要方法:
- 该CogSAS是使用Delphi过程开发的,包括评估记忆和执行功能的三个任务.
- 第1阶段涉及518名参与者的项目优化.
- 第二阶段验证了754名参与者 (认知正常,MCI,痴呆症) 的尺度的可靠性和有效性. 第三阶段测试了83名生物诊断参与者的敏感性和特异性 (MCI/AD导致的痴呆症).
主要成果:
- 在CogSAS中,表现出良好的内部一致性 (0.81) 和测试复试可靠性 (0.82).
- 构造有效性为0.74,标准有效性为0.77.
- 观察到高灵敏度和特异性来区分临床诊断的MCI/痴呆症 (0.90/0.67) 和生物学诊断的MCI/痴呆症由于AD (1.00/0.78) 从认知不受损的个体.
结论:
- "CogSAS"是一个可靠,有效和可行的移动尺度用于认知查.
- 它在社区和临床环境中显示出高灵敏度和特异性.
- CogSAS有效地识别了生物诊断的MCI和AD导致的痴呆症.
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