Suppr超能文献

COVID-19 肺炎肺超声评分严重程度截断值:系统评价和验证队列研究。

Lung ultrasound score severity cut-off points in COVID-19 pneumonia. A systematic review and validating cohort.

机构信息

Internal Medicine Unit, San Cecilio University Hospital, Avenida del Conocimiento s/n, 18016 Granada, Spain.

Department of Statistics and Operational Research, University of Granada, Avenida de la Investigación n° 11, 18071 Granada, Spain.

出版信息

Med Clin (Barc). 2023 Jun 23;160(12):531-539. doi: 10.1016/j.medcli.2023.01.024. Epub 2023 Mar 10.

Abstract

OBJECTIVES

Our purpose was to establish different cut-off points based on the lung ultrasound score (LUS) to classify COVID-19 pneumonia severity.

METHODS

Initially, we conducted a systematic review among previously proposed LUS cut-off points. Then, these results were validated by a single-centre prospective cohort study of adult patients with confirmed SARS-CoV-2 infection. Studied variables were poor outcome (ventilation support, intensive care unit admission or 28-days mortality) and 28-days mortality.

RESULTS

From 510 articles, 11 articles were included. Among the cut-off points proposed in the articles included, only the LUS>15 cut-off point could be validated for its original endpoint, demonstrating also the strongest relation with poor outcome (odds ratio [OR]=3.636, confidence interval [CI] 1.411-9.374). Regarding our cohort, 127 patients were admitted. In these patients, LUS was statistically associated with poor outcome (OR=1.303, CI 1.137-1.493), and with 28-days mortality (OR=1.024, CI 1.006-1.042). LUS>15 showed the best diagnostic performance when choosing a single cut-off point in our cohort (area under the curve 0.650). LUS≤7 showed high sensitivity to rule out poor outcome (0.89, CI 0.695-0.955), while LUS>20 revealed high specificity to predict poor outcome (0.86, CI 0.776-0.917).

CONCLUSIONS

LUS is a good predictor of poor outcome and 28-days mortality in COVID-19. LUS≤7 cut-off point is associated with mild pneumonia, LUS 8-20 with moderate pneumonia and ≥20 with severe pneumonia. If a single cut-off point were used, LUS>15 would be the point which better discriminates mild from severe disease.

摘要

目的

本研究旨在根据肺部超声评分(LUS)建立不同的截断点,以对 COVID-19 肺炎严重程度进行分类。

方法

首先,我们对先前提出的 LUS 截断点进行了系统评价。然后,通过对确诊 SARS-CoV-2 感染的成年患者进行单中心前瞻性队列研究对这些结果进行了验证。研究变量为不良结局(通气支持、入住重症监护病房或 28 天死亡率)和 28 天死亡率。

结果

从 510 篇文章中,纳入了 11 篇文章。在纳入的文章中提出的截断点中,只有 LUS>15 截断点可以验证其原始终点,并且与不良结局的相关性最强(比值比[OR]=3.636,置信区间[CI]1.411-9.374)。关于我们的队列,共收治了 127 例患者。在这些患者中,LUS 与不良结局(OR=1.303,CI 1.137-1.493)和 28 天死亡率(OR=1.024,CI 1.006-1.042)均有统计学关联。在我们的队列中,选择单个截断点时,LUS>15 显示出最佳的诊断性能(曲线下面积 0.650)。LUS≤7 对排除不良结局具有高敏感性(0.89,CI 0.695-0.955),而 LUS>20 对预测不良结局具有高特异性(0.86,CI 0.776-0.917)。

结论

LUS 是 COVID-19 不良结局和 28 天死亡率的良好预测指标。LUS≤7 截断点与轻度肺炎相关,LUS 8-20 与中度肺炎相关,≥20 与重度肺炎相关。如果使用单个截断点,LUS>15 是区分轻症和重症的最佳截断点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c7ef/9998289/3ed21a77346d/gr1_lrg.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验