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临床表现 临床表现

Emrah Düzel1,2,3, Jochen René Thyrian4, Hannes Vossfeld5

  • 1German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany.

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概括
此摘要是机器生成的。

这项研究评估了用于早期阿尔茨海默病诊断的数字工具. 它旨在改善在专业护理环境中及时转诊以检测轻度认知障碍 (MCI).

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科学领域:

  • 神经学 神经学
  • 数字健康数字健康
  • 老年病的医生 老年病的医生

背景情况:

  • 在阿尔茨海默病 (AD) 中轻度认知障碍 (MCI) 的早期诊断对于干预至关重要,但由于评估复杂性和时间限制,具有挑战性.
  • 目前德国医疗保健在初级保健中发现的MCI病例不到10%,需要在日常护理中验证无监督的数字远程评估工具.

研究的目的:

  • 调查数字远程家庭评估的潜力,以提高疑似MCI患者的有效和及时转诊.
  • 评估远程数字自我评估是否可以增强MCI从专业护理到记忆诊所的转诊.
  • 确定实施数字工具的障碍,以有效地推MCI患者.

主要方法:

  • 在Refer-MCI研究中,使用远程数字自我评估 (neotivCare应用程序) 对比常规护理的转诊决定.
  • 由于AD导致的MCI的参考诊断将根据S3指南在记忆诊所进行,同时还使用基于办公室的MoCA评估和基于血液的AD生物标志物 (pTau-217).

主要成果:

  • 该研究将在27个办公室选500名患有认知问题的患者 (年龄在60-80岁),预计75%的同意.
  • 专家将在使用neotivCare之前和之后记录诊断和转诊决定.
  • 预计2025年5月至2026年2月的患者入学时间为2026年2月.

结论:

  • 该研究旨在提高MCI推的效率和及时性,使用数字家庭评估.
  • 它将确定远程数字自我评估是否丰富了MCI患者的记忆诊所转诊.
  • 该研究将确定这些数字工具在专业护理中的实施障碍.