公共卫生 公共卫生
Blossom Cm Stephan1, Jacob Brain2,3, Tanya Buchanan4
1Curtin University, Perth, Western Australia, Australia.
Alzheimer's & dementia : the journal of the Alzheimer's Association
|December 23, 2025
概括
两个痴呆风险预测模型,简要痴呆查指标 (BDSI) 和遗传风险得分-19 (GRS-19),显示出合理的预测准确度. 在临床实施之前,需要进行进一步的测试,以确定早期痴呆风险.
科学领域:
- 神经学 神经学
- 老年学是一门学科.
- 流行病学 流行病学
背景情况:
- 全球痴呆病例的增加需要有效的预测工具来进行早期干预.
- 现有100多种痴呆症预测模型,但没有一个得到临床认可,阻碍了选择.
- 外部验证对于评估痴呆症预测模型的实用性和通用性至关重要.
研究的目的:
- 对外部验证的痴呆症预测模型进行总体审查和元分析.
- 评估现有的痴呆风险预测工具的预测性能.
主要方法:
- 综合了三次系统性审查和更新的文献搜索 (至2024年11月) 的数据.
- 包括基于人口的队列研究,评估外部验证的痴呆症预测模型.
- 在至少10个独立研究中对具有外部验证的模型进行了元分析.
主要成果:
- 三种模型 (BDSI,CAIDE,GRS-19) 在≥10项研究中获得了外部验证,这些研究仅在高收入/中等收入国家进行.
- BDSI (汇总c统计=0.72) 和GRS-19 (汇总c统计=0.76) 显示出合理的预测准确度.
- CAIDE得分的准确性很差 (c-statistic=0.60);由于方法上的差异,人们注意到异质性.
结论:
- 具有合理的外部有效性的痴呆风险预测模型可以支持临床早期风险识别和预防计划.
- 需要进一步研究临床影响和成本效益,特别是在多元化和LMIC人群中.
- 优化早期检测和预防需要在现实环境中评估查工具.
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