对脆弱性评估措施在预测全因死亡率方面的比较研究:来自NHANES的见解
Jiacheng Yang1, Yijiang Ouyang1, Wenya Zhang1
1School of Public Health, Shunde Women and Children's Hospital, Guangdong Medical University, Dongguan, China; Precision Key Laboratory of Public Health, Guangdong Medical University, Dongguan, China.
Journal of the American Medical Directors Association
|January 18, 2025
概括
脆弱性指数 (FI) 最好预测死亡风险,与Fried标准和FRAIL尺度相比. 年龄是提高虚弱指数预测性能的关键因素.
科学领域:
- 老年学是一门学科.
- 公共卫生 公共卫生
- 生物统计学 生物统计学
背景情况:
- 脆弱性评估对于预测老年人的健康结果至关重要.
- 弗里德标准,FRAIL尺度和脆弱指数 (FI) 是常用的脆弱度量.
- 对它们对死亡率的预测准确性的比较研究是必不可少的.
研究的目的:
- 为了比较弗里德标准,FRAIL尺度和FI对美国成年人全因死亡率的预测能力.
- 确定有助于死亡率预测的关键变量.
主要方法:
- 采用NHANES数据 (2005-2018) 的跨截面研究,对39631名20岁以上的参与者进行了跨截面研究.
- 使用Fried,FRAIL和FI措施确定脆弱性状态.
- 考克斯的比例危险和机器学习模型分析了11个共变量,通过IBS,C指数和AUC评估性能.
- 关键变量分析使用排列重要性和C指数增量.
主要成果:
- 在单变量分析中,FI在预测死亡率方面表现优于Fried和FRAIL (较低的IBS,较高的C指数/AUC).
- 多变量分析显示,措施之间的差异很小.
- 年龄被确定为最关键的预测因素,其次是Fried和FI状态.
- 在各个年龄分组和合分析中,FI始终表现最好.
结论:
- 脆弱性指数证明了作为所有原因死亡率的独立预测指标的卓越表现.
- 年龄是一个关键的共同变量,可以显著提高预测准确性.
- 进一步的研究应该调查FI在不同人群中的实用性以及因特定原因的死亡率.
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