开发和验证退院严重性指数的发展和验证,用于紧急情况后的医院再入院
Norawit Kijpaisalratana1, Abdel Badih El Ariss2, Adi Balk3
1Department of Emergency Medicine, Massachusetts General Hospital, Boston, MA, United States of America; Department of Emergency Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.
The American journal of emergency medicine
|April 27, 2025
概括
一个新的出院严重性指数 (DSI) 有效地预测了医院再入院风险. 该工具有助于优化出院后的护理,将患者分为风险类别,改善资源配置,以获得更好的患者结果.
科学领域:
- 医疗保健管理的管理
- 临床信息学 临床信息学
- 患者的治疗结果.
背景情况:
- 住院再接收是一个重大的问题,通常是由于复杂的因素引起的,包括不充分的随访,不良的出院计划和健康的社会决定因素.
- 有效的出院后策略和风险分层对于减轻再入院和优化患者护理至关重要.
研究的目的:
- 开发和验证出院严重性指数 (DSI) 作为预测医院再入院风险的工具.
- 为了使医疗保健提供者能够优化资源分配,以便在出院后提供有效的后续护理.
主要方法:
- 从MIMIC-IV数据库中对229,920次ED访问进行了回顾性分析,分为导出 (75%) 和验证 (25%) 队列.
- 单变量分析和多重后勤回归 (MLR) 确定了七天再接收的关键风险因素.
- 确定了六个重要的风险因素:年龄>65,心率>100,氧和率<96%,活性药物>5,ED停留时间>3小时.
主要成果:
- 该研究确定了七天再接收的六个独立风险因素,这些风险因素被用来创建DSI.
- 患者被分为五个DSI组 (DSI1-5),其中DSI1表示风险最高 (OR:14.63),DSI5表示风险最低 (OR:1.0).
- 导出和验证队列之间的再录取率是可比的,这表明了DSI的预测有效性.
结论:
- 排放严重性指数 (DSI) 是一个经过验证的工具,用于预测ED的7天再接收风险.
- DSI促进了患者风险分层,使得可以更明智地分配出院后的资源.
- 实施DSI可能会提高出院后护理策略的效率和有效性.
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