多种早期生物标志物预测了没有痴呆症的老年人的认知衰退
Juan Li1, Zhiying Jiang1, Shengjie Duan2
1Department of Radiology, Heji Hospital Affiliated to Changzhi Medical University, Changzhi, China.
Journal of geriatric psychiatry and neurology
|February 9, 2024
概括
结合嗅觉测试,认知评估和MRI扫描,可以显著改善对老年人认知能力下降的预测. 这种多模式的方法为识别有未来痴呆风险的个体提供了更高的准确性.
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:
- 嗅觉障碍,认知缺陷和中间叶缩是已知的预测者,在非痴呆老年人认知能力下降.
- 这些生物标志物对未来认知衰退的综合预测能力尚未得到广泛研究.
研究的目的:
- 研究嗅觉功能,认知表现和海马体积在预测未来认知衰退方面的综合效应.
- 评估多模式生物标志物方法用于识别老年人痴呆风险的实用性.
主要方法:
- 110名没有痴呆症的参与者接受了嗅觉测试 (宾夕法尼亚大学嗅觉识别测试 - UPSIT),认知评估 (蒙特利尔认知评估 - MoCA) 和基线和5年后的MRI扫描.
- 根据5年的随访数据,参与者被分为认知衰退者和非衰退者.
- 使用后勤回归分析来确定基线生物标志物与随后的认知衰退之间的关联.
主要成果:
- 在完成随访的87名参与者中,32人表现出认知能力下降.
- 与非衰退者相比,认知衰退者的UPSIT得分,MoCA得分和海马体积在基线显著较低 (P < .001).
- 结合嗅觉,认知和MRI数据,在预测认知衰退方面产生了高灵敏度 (83.6%) 和特异性 (93.7%).
结论:
- 基线嗅觉功能,认知表现和海马体积是未来认知衰退的强有力的独立预测因素.
- 嗅觉测试,认知评估和结构性MRI的整合显著提高了没有痴呆症的老年人认知衰退的预测准确度.
- 这种多模式的方法对早期识别面临认知障碍风险的个体具有前途.
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