Lung ultrasound predicts non-invasive ventilation outcome in COVID-19 acute respiratory failure: a pilot study

医学 机械通风 重症监护室 肺超声 呼吸衰竭 充氧 曲线下面积 通风(建筑) 麻醉 前瞻性队列研究 重症监护 内科学 重症监护医学 机械工程 工程类
作者
Daniele Guerino Biasucci,Danilo Buonsenso,A. Piano,Nicola Bonadia,Joel Vargas,Donatella Settanni,Maria Grazia Bocci,Domenico Luca Grieco,Annamaria Carnicelli,Giancarlo Scoppettuolo,Davide Eleuteri,Gennaro De Pascale,Mariano Alberto Pennisi,Francesco Franceschi,Massimo Antonelli
出处
期刊:Minerva Anestesiologica [Edizioni Minerva Medica]
卷期号:87 (9) 被引量:35
标识
DOI:10.23736/s0375-9393.21.15188-0
摘要

The aim of this study is to determine relationships between lung aeration assessed by lung ultrasound (LUS) with non-invasive ventilation (NIMV) outcome, intensive care unit (ICU) admission and mechanical ventilation (MV) needs in COVID-19 respiratory failure.A cohort of adult patients with COVID-19 respiratory failure underwent LUS during initial assessment. A simplified LUS protocol consisting in scanning six areas, three for each side, was adopted. A score from 0 to 3 was assigned to each area. Comprehensive LUS score (LUSsc) was calculated as the sum of the score in all areas. LUSsc, the amount of involved sonographic lung areas (LUSq), the number of lung quadrants radiographically infiltrated and the degree of oxygenation impairment at admission (SpO2/FiO2 ratio) were compared to NIMV Outcome, MV needs and ICU admission.Among 85 patients prospectively included in the analysis, 49 of 61 needed MV. LUSsc and LUSq were higher in patients who required MV (median 12 [IQR 8-14] and median 6 [IQR 4-6], respectively) than in those who did not (6 [IQR 2-9] and 3 [IQR 1-5], respectively), both P<0.001. NIMV trial failed in 26 patients out 36. LUSsc and LUSq were significantly higher in patients who failed NIMV than in those who did not. From ROC analysis, LUSsc ≥12 and LUSq ≥5 gave the best cut-off values for NIMV failure prediction (AUC=0.95, 95%CI 0.83-0.99 and AUC=0.81, 95% CI 0.65-0.91, respectively).Our data suggest LUS as a possible tool for identifying patients who are likely to require MV and ICU admission or to fail a NIMV trial.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
FashionBoy应助su采纳,获得10
1秒前
1秒前
运敬完成签到 ,获得积分10
2秒前
XSB完成签到,获得积分10
2秒前
青草蛋糕完成签到 ,获得积分10
2秒前
怡然剑成完成签到,获得积分10
2秒前
2秒前
liyuchen发布了新的文献求助10
3秒前
ipeakkka完成签到,获得积分20
5秒前
马克发布了新的文献求助10
5秒前
赵OO完成签到,获得积分10
5秒前
Yon完成签到 ,获得积分10
6秒前
呆头完成签到,获得积分10
6秒前
科研通AI5应助skier采纳,获得10
7秒前
ywang发布了新的文献求助10
9秒前
9秒前
10秒前
10秒前
keyantong完成签到 ,获得积分10
13秒前
booshu完成签到,获得积分10
14秒前
jy发布了新的文献求助10
15秒前
朴斓完成签到,获得积分10
15秒前
科研通AI5应助魏伯安采纳,获得10
18秒前
哈密哈密完成签到,获得积分10
18秒前
18秒前
Ava应助浪迹天涯采纳,获得10
18秒前
19秒前
安南发布了新的文献求助10
19秒前
20秒前
healthy完成签到 ,获得积分10
20秒前
21秒前
刘大可完成签到,获得积分10
21秒前
24秒前
su发布了新的文献求助10
24秒前
rookie发布了新的文献求助10
25秒前
方勇飞发布了新的文献求助10
26秒前
郭菱香完成签到 ,获得积分20
26秒前
皮念寒完成签到,获得积分10
26秒前
顺其自然_666888完成签到,获得积分10
26秒前
27秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Ensartinib (Ensacove) for Non-Small Cell Lung Cancer 1000
Unseen Mendieta: The Unpublished Works of Ana Mendieta 1000
Bacterial collagenases and their clinical applications 800
El viaje de una vida: Memorias de María Lecea 800
Luis Lacasa - Sobre esto y aquello 700
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3527990
求助须知:如何正确求助?哪些是违规求助? 3108173
关于积分的说明 9287913
捐赠科研通 2805882
什么是DOI,文献DOI怎么找? 1540119
邀请新用户注册赠送积分活动 716941
科研通“疑难数据库(出版商)”最低求助积分说明 709824