呼吸视觉选工具的低分数能预测住院患者的COVID-19检测结果是负的吗?
Thamir Asayed1, Qasem Ahmed Almulihi1, Amal Alsulaibeikh2
1Emergency Medicine Consultant, Emergency Medicine Department, King Fahd Hospital of the University, Imam Abdulrahman Bin Faisal University.
这项研究发现,COVID-19的视觉分类工具具有较低的特异性,可能会危及患者和医疗保健工作者. 仅仅使用查工具就不足以准确识别COVID-19.
科学领域:
- 医学诊断 医学诊断 医学诊断
- 传染病流行病学 传染病流行病学
- 公共卫生监督 公共卫生监督
背景情况:
- 准确和快速识别COVID-19对于医院流行病监测至关重要.
- 视觉和呼吸道分类是提醒医疗保健工作者 (HCW) 潜在的COVID-19病例的重要工具.
研究的目的:
- 为了评估COVID-19的呼吸道选工具的诊断准确性.
- 评估卫生部的分类工具在识别低风险患者方面的有效性.
主要方法:
- 对7258名通过大学国王法赫德医院急诊室 (ED) 住院的成年患者进行了回顾性图表审查.
- 使用视觉分类检查清单来评估暴露风险和临床症状,并与PCR结果比较得分.
- 数据分析使用SPSS版本23进行.
主要成果:
- 视觉分类工具的灵敏度为75%,特异性为21%.
- 很大一部分参与者 (34.6%) 在分拣中得分为4或以上,表明需要隔离.
结论:
- 视觉分类工具的低特异性构成感染传播到患者和HCW的风险.
- 仅仅依靠这种查工具是不足以有效管理和控制COVID-19的.
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