一个多结果的预测模型,用于社区居住的老年人被录取到熟练的护理设施后急性护理
W James Deardorff1, Siqi Gan2, Bocheng Jing3
1Division of Geriatrics, University of California, San Francisco, San Francisco, CA, USA.
Journal of the American Medical Directors Association
|July 14, 2025
概括
一个新的预后模型预测了退院到熟练护理设施 (SNFs) 的老年人的结果. 该工具有助于患者,护理人员和临床医生在SNF后的护理方面共同做出决策.
科学领域:
- 老年医学 老年医学
- 医疗保健服务研究 医疗服务研究
- 生物统计学 生物统计学
背景情况:
- 近20%的住院老年人转移到熟练护理设施 (SNFs) 进行康复.
- 这些患者面临重大风险,包括再入院,长期住院或死亡.
- 准确的预后对于在急性后护理中进行明智的共享决策至关重要.
研究的目的:
- 开发和验证一个预后模型,预测SNF的老年人多种不良结果.
- 该模型旨在支持临床医生,患者和护理人员之间的共享决策过程.
主要方法:
- 使用20%的国家医疗保险样本的66岁以上的成年人退院到SNF (2017-2019) 的回顾性队列研究.
- 预测因素包括人口统计,并发症 (通过LASSO减少),住院细节和之前住院情况.
- 预测了两个结果:六个月的全因死亡率和30天的成功社区出院. 通过c统计和校准图表评估模型性能.
主要成果:
- 该队列包括523,740个人;22%在6个月内死亡,54%成功获得社区退休.
- 预后模型表现出良好的区别,乐观度调整后的c-统计为0.753的死亡率和0.692的成功出院.
- 该模型的校准良好的,表明可靠的风险预测两个结果.
结论:
- 对SNF患者的验证的多结果预后模型显示了强大的预测性能.
- 这些风险预测可以显著提高SNF中老年人的共同决策和护理计划.
- 该模型为临床医生,患者和家庭在急性护理过渡后进行导航提供了宝贵的工具.
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