一个基于电子健康记录的分类器,用于中度至严重的急性呼吸困扰综合征与持续的低氧化症
Chad H Hochberg1, Anna K Barker2, Alhareth Alsagban3
1Division of Pulmonary and Critical Care, Department of Medicine, Johns Hopkins University, Baltimore, MD.
Critical care medicine
|December 30, 2025
概括
电子健康记录分类器准确地识别了持续中度至重度急性呼吸困扰综合征 (ARDS) 的患者. 该工具有助于研究和改善ARDS患者群体的质量.
科学领域:
- 临界护理医学 临界护理医学
- 医疗信息学 医疗信息学
- 肺部医学 肺部医学
背景情况:
- 持续的中度至重度急性呼吸困扰综合征 (ARDS) 呈现出诊断方面的挑战.
- 准确的识别对于及时干预和研究至关重要.
研究的目的:
- 评估基于电子健康记录 (EHR) 的分类器的性能,以识别持续的中度至重度ARDS.
- 评估这个分类器在临床环境中的实用性.
主要方法:
- 在两个卫生系统的六个ICU进行了回顾性观察性研究.
- 包括接受侵入性机械通风 (IMV) 的成年人,符合特定的低氧症标准.
- 评估了使用EHR数据和临床医生的判断对开发和验证队列的分类器性能.
主要成果:
- 电子健康记录分类器确定了持续的中度至重度ARDS,在两个队列中都具有可接受的表现 (PPV71%和66%).
- 使用SpO2/FiO2的替代定义显示了类似的分类,但较低的积极预测值.
- 临床医生判断的ARDS分别在开发和验证队列中的55%和53%的患者中存在.
结论:
- 使用易于获得的数据的基于EHR的分类器显示了可接受的性能,用于识别持续的中度至重度ARDS.
- 这种开源工具为追溯和前性识别ARDS患者提供了潜在的可能性,用于研究和质量改进.
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