在社区生活的老年人中预测与年龄相关的听力损失:多中心回顾性队列研究
Jing Li1, Shuai Jin1, Liu Sun1
1School of Nursing, Capital Medical University, Beijing, Beijing, China.
Interactive journal of medical research
|December 10, 2025
概括
一个新的在线工具使用六个简单的因素预测了老年人与年龄相关的听力损失 (ARHL). 这种动态名录图有助于在初级保健中早期识别风险,改善听力健康的查和干预措施.
科学领域:
- 老年学是一门学科.
- 公共卫生 公共卫生
- 听力学 听力学是指听力学.
背景情况:
- 与年龄相关的听力损失 (ARHL) 会导致社会孤立,抑郁和认知能力下降.
- 由于资源和意识有限,ARHL查在初级保健中经常被忽视.
- 需要一个实际的风险评估工具来解决这个差距.
研究的目的:
- 开发和验证一个用户友好的名录,用于识别ARHL高风险的老年人.
- 在社区环境中促进有针对性的查和及时干预.
- 创建一个实用的在线工具,用于主动识别风险.
主要方法:
- 在34,983名老年人中进行了多中心回顾性队列研究.
- 模型开发使用来自18,707名参与者的数据,在两个队列上进行外部验证.
- 最小绝对收缩和选择操作员和后勤回归确定了预测因素;使用歧视,校准和决策曲线分析评估性能.
主要成果:
- 确定了六个关键预测因素:年龄,教育,运动频率,身体功能,饮食和高血压.
- 该模型在内部验证中显示出良好的区别 (AUC 0.806) 和外部验证中的通用性 (AUC 0.720,0.747).
- 开发了一个用户友好的在线预测网页,证明了实质性的临床净益处.
结论:
- 成功开发和验证了一种动态的在线名谱,用于预测老年人ARHL.
- 该工具使用了6个易于获得的预测指标,显示了在初级保健中积极识别风险的潜力.
- 需要在不同人群中进一步验证,以确认现实世界的临床实用性.
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