预测心力衰竭住院患者的死亡率:临床模型的推导和验证
Douglas S Lee1, Peter C Austin, Jean L Rouleau
1Department of Health Policy, Management, and Evaluation/Clinical Epidemiology, Division of Cardiology, University Health Network-Toronto General Hospital, Toronto, Ontario.
JAMA
|November 20, 2003
概括
一个新的心力衰竭死亡率预测模型使用现有的患者数据来识别高风险个体. 这种工具有助于临床医生在决策和患者沟通中改善心力衰竭护理.
科学领域:
- 心脏病学 心脏病学
- 临床预测建模临床预测建模
- 公共卫生 公共卫生
背景情况:
- 心力衰竭 (HF) 对住院患者构成显著的死亡风险.
- 有效的沟通和护理规划需要准确的死亡率预测.
- 一个预测模型可以帮助临床医生管理HF患者.
研究的目的:
- 为了确定心力衰竭患者死亡率的预测因素.
- 开发和验证一个预测模型,使用在医院呈现时可用的数据.
- 为临床医生提供一个风险分层和决策支持的工具.
主要方法:
- 对4031名社区心力衰竭患者进行了回顾性研究.
- 来自加拿大安大略省为有效心脏治疗提供增强反 (EFFECT) 研究的数据.
- 使用导出队列的模型开发和使用单独队列的验证,评估30天和1年的全因死亡率.
主要成果:
- 在导出队列中,死亡率在30天后为10.7%,在1年后为32.9%.
- 关键预测因素包括老年,低收缩血压,高呼吸率,高尿素和低血.
- 伴随性疾病如COPD,痴呆症和癌症显著增加了死亡风险.
- 一个经过验证的风险指数准确地分层患者,非常低风险得分 (<60) 显示0.4%的30天死亡率,非常高风险得分 (>150) 显示59.0%的30天死亡率.
结论:
- 在医院呈现时确定的因素有效预测心力衰竭患者的30天和1年的死亡率.
- 外部验证的预测指数帮助临床医生估计死亡风险.
- 该模型为心力衰竭管理中的决策提供了定量指导.
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