根据NHANES开发和验证基于NHANES的老年人认知障碍名录
Xiaoming Ma1, Wendie Huang2, Lijuan Lu2
1North China University of Science and Technology, Tangshan, Hebei, China.
Frontiers in neuroscience
|September 4, 2023
概括
一个新的名图有效地预测了60岁以上成年人的认知障碍,使用年龄和教育等容易获得的因素. 该工具有助于早期识别和管理老年人群的认知衰退.
科学领域:
- 老年学是一门学科.
- 神经学 神经学
- 公共卫生 公共卫生
背景情况:
- 认知障碍是老年人群中日益严重的公共卫生问题.
- 早期识别和风险分层对于管理认知衰退至关重要.
研究的目的:
- 开发和验证60岁及以上个体认知障碍的风险预测名录.
- 在这个人口群体中确定认知障碍的关键预测因素.
主要方法:
- 利用来自美国国家健康和营养检查研究 (NHANES) 60岁以上的2802名参与者的数据.
- 用于变量选择和模型开发的雇佣最小绝对缩小和选择操作员 (LASSO) 回归和多变量后勤回归.
- 通过使用曲线下的接收器操作特征面积 (ROC-AUC),校准曲线和决策曲线分析 (DCA) 评估的诺姆图表性能.
主要成果:
- 开发了一个名录,结合了五个预测因素:性别,中度活动,口味问题,年龄和教育.
- 诺米图表显示出良好的歧视,AUC为0.744 (95% CI:0.696-0.791).
- 随机图表显示了令人满意的校准和临床实用性,由DCA证实.
结论:
- 开发的风险预测名录是有效的识别认知障碍在60岁以上的个人.
- 纳米图中包含的预测指标是易于访问的,这有助于实际应用.
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