肺超声波得分在COVID-19环境中的应用和内部验证:ECOVITA观察性研究
L Rinaldi1,2, M Lugarà3, V Simeon4
1Department of Medicine and Health Sciences "V. Tiberio", Università degli Studi del Molise, Campobasso, Italy.
Pulmonology
|May 28, 2024
概括
一个经过验证的12场肺超声波得分准确地预测了严重急性呼吸系统综合征冠状病毒-2 (SARS-CoV-2) 患者的死亡率和临床严重程度. 这种工具有助于评估呼吸支的需要,并预测重症监护室的结果.
科学领域:
- 肺部病理学 肺部病理学
- 临界护理医学 临界护理医学
- 诊断成像 诊断成像 诊断成像
背景情况:
- 严重急性呼吸系统综合征冠状病毒-2 (SARS-CoV-2) 仍然是死亡的重要原因,主要是由于呼吸系统衰竭.
- 预测COVID-19患者的死亡率和临床过程严重程度对于资源配置和患者管理至关重要.
研究的目的:
- 为了验证12场肺超声波得分来预测COVID-19患者的死亡率.
- 评估得分能够预测临床过程的严重程度和需要呼吸辅助的能力.
主要方法:
- 一项前性的多中心医院队列研究包括通过RT-PCR诊断出SARS-CoV-2的成年患者.
- 在入院时,对12个胸部标志进行了肺部超声波,发现得分从0 (正常A线) 到3 (巩固).
- 同时收集血液气体分析和临床数据.
主要成果:
- 这项研究包括1007名患者 (62.4%是男性,平均年龄为66.3岁).
- 超声波中位数为24与侵入性呼吸辅助的需要增加相关.
- 肺部超声波得分与P/F比率 (rho: -0.71) 呈现出强烈的负相关性,并且与住院死亡率 (OR1.11) 有显著的关联.
结论:
- 12场肺超声波得分是预测COVID-19患者死亡率和临床严重程度的验证工具.
- 该分数有效预测了住院死亡的风险和需要密集呼吸器支持的需要,包括侵入性机械通风.
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