认知风险,ANU-ADRI,CAIDE和LIBRA风险评分用于估计痴呆风险
Md Hamidul Huque1,2,3, Scherazad Kootar1,2,3, Ranmalee Eramudugolla1,2,3
1School of Psychology, University of New South Wales, Kensington, New South Wales, Australia.
JAMA network open
|August 30, 2023
概括
新的痴呆风险工具CogDrisk和CogDrisk-AD的性能与ANU-ADRI相似. 这些工具可以提供更好的洞察力,以减少风险,由于更广泛的可修改因素.
科学领域:
- 老年学和认知神经科学
- 神经退行性疾病的流行病学
- 生物统计学和健康信息学
背景情况:
- 现有的痴呆风险评估工具,如ANU-ADRI,CAIDE和LIBRA,是使用较旧的证据开发的.
- 最近的进展导致了基于当代数据开发新的工具CogDrisk和CogDrisk-AD.
- 对这些较新的工具与已建立的工具进行比较性能分析是有限的.
研究的目的:
- 评估和比较CogDrisk,ANU-ADRI,CAIDE,LIBRA和一个修改后的LIBRA工具对痴呆和阿尔茨海默病 (AD) 风险的预测性能.
- 评估CogDrisk-AD的实用性,特别是用于估计AD风险.
主要方法:
- 这是一项基于人口的队列研究,利用了Rush Memory and Aging Project (MAP) 的数据,心血管健康研究认知研究 (CHS-CS) 和健康与退休研究-衰老,人口统计和记忆研究 (HRS-ADAMS) 的数据.
- 风险得分是根据每个工具的可用人口统计学,医疗和生活方式因素计算的.
- 使用接收器操作特征曲线 (AUC) 下的面积来测量性能,并使用多重归算来处理缺失的数据.
主要成果:
- 在所有三个队列中,CogDrisk,ANU-ADRI和修改后的LIBRA在估计痴呆风险方面表现相似 (AUC从0.65到0.75不等).
- 与上述工具相比,CAIDE和LIBRA在痴呆风险预测方面表现相似但较低.
- 在估计阿尔茨海默病风险方面,CogDrisk-AD和ANU-ADRI表现相似.
结论:
- 较新的CogDrisk和CogDrisk-AD工具在预测痴呆和AD风险方面显示出与已建立的ANU-ADRI可比的准确性.
- 鉴于它们包含了更广泛的可修改风险因素,CogDrisk和CogDrisk-AD可能为痴呆症风险降低策略提供了增强的实用性.
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