European Respiratory Journal ( IF 16.6 ) Pub Date : 2021-09-09 , DOI: 10.1183/13993003.04283-2020 Jorge Rubio-Gracia 1, 2 , Ignacio Giménez-López 2, 3, 4 , Vanesa Garcés-Horna 1, 2 , Daniel López-Delgado 1 , Jose Luis Sierra-Monzón 2, 5 , Luis Martínez-Lostao 2, 4, 6 , Claudia Josa-Laorden 1, 2 , Fernando Ruiz-Laiglesia 1, 2 , Juan Ignacio Pérez-Calvo 1, 2, 3, 4 , Silvia Crespo-Aznarez 1 , Javier García-Lafuente 1 , Natacha Peña Fresneda 2, 4 , Beatriz Amores Arriaga 1, 2 , Borja Gracia-Tello 1, 2, 6 , Marta Sánchez-Marteles 1, 2
Lung ultrasound is feasible for assessing lung injury caused by coronavirus disease 2019 (COVID-19). However, the prognostic meaning and time-line changes of lung injury assessed by lung ultrasound in COVID-19 hospitalised patients are unknown.
Prospective cohort study designed to analyse prognostic value of lung ultrasound in COVID-19 patients by using a quantitative scale (lung ultrasound Zaragoza (LUZ)-score) during the first 72 h after admission. The primary end-point was in-hospital death and/or admission to the intensive care unit. Total length of hospital stay, increase of oxygen flow and escalation of medical treatment during the first 72 h were secondary end-points.
130 patients were included in the final analysis; mean±
LUZ-score is an easy, simple and fast point-of-care ultrasound tool to identify patients with severe lung injury due to COVID-19, upon admission. Baseline score is predictive of severity along the whole period of hospitalisation. The score facilitates early implementation or intensification of treatment for COVID-19 infection. LUZ-score may be combined with clinical variables (as estimated by PAFI) to further refine risk stratification.
中文翻译:
用于 COVID-19 患者风险分层和治疗指导的护理点肺部超声评估:一项前瞻性非干预性研究
肺部超声可用于评估 2019 年冠状病毒病 (COVID-19) 引起的肺损伤。然而,通过肺部超声评估的 COVID-19 住院患者肺损伤的预后意义和时间线变化尚不清楚。
前瞻性队列研究旨在通过使用定量量表(肺部超声萨拉戈萨(LUZ)评分)来分析入院后前 72 小时内肺部超声对 COVID-19 患者的预后价值。主要终点是院内死亡和/或入住重症监护室。住院总时间、氧流量的增加和前 72 小时内医疗治疗的升级是次要终点。
最终纳入130例患者分析;平均值±
LUZ-score 是一种简单、简单且快速的床旁超声工具,可在入院时识别因 COVID-19 导致严重肺损伤的患者。基线评分可预测整个住院期间的严重程度。该评分有助于尽早实施或强化针对 COVID-19 感染的治疗。LUZ 评分可以与临床变量(由 PAFI 估计)相结合,以进一步细化风险分层。