在急性不补偿性心力衰竭中医院死亡风险分层:分类和回归树分析
Gregg C Fonarow1, Kirkwood F Adams, William T Abraham
1Ahmanson-UCLA Cardiomyopathy Center, University of California, Los Angeles Medical Center, Los Angeles, CA 90095, USA. gfonarow@mednet.ucla.edu
JAMA
|February 3, 2005
概括
一个新的风险树工具有助于识别高死亡风险的急性不补偿性心力衰竭 (ADHF) 患者. 这个床边工具使用简单的入院数据来分层死亡风险,帮助临床决策.
科学领域:
- 心脏病学 心脏病学
- 临床医学 临床医学
- 医疗保健服务研究 医疗服务研究
背景情况:
- 估计住院急性不补偿性心力衰竭 (ADHF) 患者的死亡风险对于指导临床护理至关重要.
- 使用急性减补心力衰竭国家注册 (ADHERE) 数据库来满足这一需求.
研究的目的:
- 开发一个实用,用户友好的床边工具,用于ADHF住院患者的风险分层.
- 该工具旨在帮助临床医生识别患有不同死亡风险的患者.
主要方法:
- 分析来自美国263家医院的ADHERE注册表数据.
- 使用衍生队列 (33,046次住院) 开发风险分层模型,使用单独队列 (32,229次住院) 进行前性验证.
- 递归分区确定了死亡率的关键预测因素,包括血液尿素,缩血压和血清肌水平.
主要成果:
- 住院死亡率在导出 (4.2%) 和验证 (4.0%) 队列中一致.
- 高摄入血尿酸,低收缩血压和高血清肌素是死亡率最强的预测因素.
- 风险树模型将患者分为两层,分为风险组,死亡率从2.1%到21.9%不等.
结论:
- 患有ADHF的患者可以很容易地分为低,中等和高的住院死亡风险组.
- ADHERE风险树是用于死亡风险分层的经过验证和实用的床头工具.
- 该工具使用在入院时随时可用的生命体征和实验室数据.
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