根据早期状态预测住院患者的COVID-19预后
David Natanov1, Byron Avihai1, Erin McDonnell1
1Rutgers Robert Wood Johnson Medical School , Piscataway, New Jersey, USA.
mBio
|September 8, 2023
概括
预测COVID-19患者的结果至关重要. 使用年龄和实验室测试的新模型提供了一种简单有效的方法来评估预后并指导关键护理决策.
科学领域:
- 医学预测 医学预测
- 传染病流行病学 传染病流行病学
- 卫生资源管理 卫生资源管理
背景情况:
- 由于COVID-19是导致死亡的主要原因,因此需要有效的患者风险分层.
- 在激增期间,有效地分配重症监护资源 (呼吸机,ICU床) 是至关重要的.
- 准确的预后有助于临床医生管理患者护理和困难的对话.
研究的目的:
- 开发和验证COVID-19患者死亡风险的预测模型.
- 创建工具,利用现有临床数据进行快速风险评估.
- 支持COVID-19护理中的临床决策和资源管理.
主要方法:
- 开发了PLABAC和PRABLE预测模型.
- 使用患者年龄和五个常见的实验室测试结果作为输入变量.
- 在美国的各种外部患者群体中验证了模型通用性.
主要成果:
- PLABAC和PRABLE模型准确地预测了COVID-19患者的死亡风险.
- 模型只需要基本的人口统计和实验室数据进行预后.
- 在外部验证队列中表现出一致的性能和通用性.
结论:
- PLABAC和PRABLE为评估COVID-19预后提供了实用,高效的工具.
- 这些模型可以作为临床医生讨论患者结果的实时辅助工具.
- 这些模型为COVID-19患者提供了更好的沟通和资源配置.
关键词:
在ICU中,医生会对患者进行治疗.这是一种SARS-CoV-2感染.生物标志物 生物标志物凝血是凝固的过程.凝血病是一种凝血病.医院医学 医院医学 医院医学机器学习是机器学习.肺炎是一种肺炎.造成功能衰竭.病毒感染 病毒感染更多相关视频
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