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临床表现 临床表现

Daniel Soberanes1, Roos J Jutten2, Mark A Dubbelman3

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结合数字记忆测试和p-tau217等血液生物标志物,可以预测老年人的认知能力下降. 这种方法提高了识别患有阿尔茨海默病进展风险的个体的准确性.

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科学领域:

  • 神经科学是一个神经科学.
  • 老年学是一门学科.
  • 生物标志物研究 生物标志物研究

背景情况:

  • 早期识别患有阿尔茨海默病 (AD) 认知能力下降风险的个体对于及时干预至关重要.
  • 远程数字认知测试和基于血液的生物标志物为风险评估提供了具有成本效益的战略.

研究的目的:

  • 评估数字认知测试的多天学习曲线 (MDLC) 与血p-tau217水平相结合是否可以预测无损老年人两年内认知衰退.
  • 评估MDLCs和p-tau217的预测能力,单独和组合,用于识别将经历认知衰退的个体.

主要方法:

  • 200名没有认知障碍的老年人每天接受7天的远程认知测试,以获得MDLCs.
  • 基线评估包括临床前阿尔茨海默氏症认知复合物 (PACC-5) 和血p-tau217.
  • 线性混合效应模型和接收器运行特征 (ROC) 分析被用来评估PACC-5在平均2.3年内下降的预测.

主要成果:

  • 较高的基线p-tau217和较低的基线MDLC与纵向认知衰退显著相关.
  • 单独p-tau217预测认知能力下降,AUC为0.63.
  • 将MDLC添加到p-tau217中显著提高了预测准确度,达到0.82.7的AUC.

结论:

  • 记忆巩固的远程数字评估 (MDLC) 解释了在未受损的老年人中与p-tau217相结合时,认知衰退的独特差异.
  • MDLCs和p-tau217的组合提高了识别高风险即将发生认知衰退的个体的准确性.
  • 将敏感的数字认知评估与血生物标志物的配对对于在临床前阿尔茨海默病中早期风险识别是有效的.