在住院老年人中进行可自动化死亡率预测得分的概念验证
Vanda W T Ho1,2, Natalie M W Ling1, Denishkrshna Anbarasan2
1Division of Geriatric Medicine, Department of Medicine, National University Health System, Singapore, Singapore.
Frontiers in medicine
|June 7, 2024
概括
这项研究开发了一种使用电子健康记录的自动化工具,用于预测住院老年人的死亡率. 该模型准确地识别出高风险过早或过晚死亡的患者,改善护理.
科学领域:
- 老年医学 老年医学
- 医疗信息学 医疗信息学
- 预测分析是一种预测分析.
背景情况:
- 在住院的老年人中预测死亡率是具有挑战性的.
- 延迟终身认可阻碍了息治疗,增加了医疗保健成本.
- 现有的死亡率预测工具通常需要手动输入,这限制了它们的采用.
研究的目的:
- 为住院的老年人开发一个自动化的死亡率预测工具.
- 利用电子健康记录来提高预测准确性和吸收率.
- 引导医生为老年患者提供个性化护理.
主要方法:
- 对75岁以上的患者电子健康记录的回顾性审查.
- 包括人口统计,并发症,查尔森并发症指数 (CCI) 和脆弱性得分.
- 使用逐步后勤回归的预测模型的开发.
主要成果:
- 这项研究分析了1224名患者,其中13.7%的人经历过早逝,30.2%的人晚逝.
- 早期死亡的关键预测因素包括晚年,虚弱,高CCI,心血管因素,AMI和肺炎.
- 开发的工具,评分年龄,肺炎和AMI,实现了早期死亡的AUC为0.752,晚期死亡的AUC为0.691.
结论:
- 开发的死亡率预测模型作为自动化警报的概念验证.
- 这种工具有可能增强住院老年人的个性化护理.
- 自动化警报可以指导医生提供及时和适当的干预.
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