在一般病房的医疗急救组审查后的患者结果:预测模型的开发
Anthony Batterbury1,2, Clint Douglas2,3, Fiona Coyer1,2,4
1Royal Brisbane and Women's Hospital, Herston, Queensland, Australia.
Journal of clinical nursing
|February 15, 2024
概括
这项研究开发了风险模型,以预测医疗急救队 (MET) 审查后的患者结果. 这些模型可以识别高风险的病房病人恶化,计划外的ICU入院,或死亡.
科学领域:
- 关键护理医学 关键护理医学
- 医疗保健服务研究 医疗服务研究
- 临床预测建模模型
背景情况:
- 被医疗急救队 (MET) 检查的患者往往有复杂的病情,并留在普通病房.
- 准确的风险分层对于管理这些患者和优化临床决策至关重要.
研究的目的:
- 开发和验证风险预测模型,用于随后的临床恶化,计划外的ICU入院和病房患者死亡的MET后评估.
- 创建一个床边风险计算器,以帮助临床判断和患者安置.
主要方法:
- 在澳大利亚四级医院进行MET审查后,对1500名患者进行了回顾性队列研究.
- 后勤回归用于建模结果,结合人口,临床和严重程度的变量.
- 使用歧视和校准与启动验证评估的模型性能.
主要成果:
- 在MET审查后48小时内,8.3%的受访者经历了反复的MET审查,7.2%的受访者无计划入住了ICU,16%的受访者死亡.
- 关键预测因素包括年龄,性别,并发症,复苏状态,敏度,MET触发因素,以及相对于住院/手术/ICU出院的时间.
- 开发的模型在预测和验证方面表现出足够的准确性.
结论:
- 风险预测模型可以有效地识别MET审查后患有不良结果高风险的病房患者.
- 这些工具可以支持临床决策,团队沟通和患者安置,以改善护理.
- 建议对临床实践进行进一步的验证和实施风险计算器.
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