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. 2021 Sep 9;58(3):2004283.
doi: 10.1183/13993003.04283-2020. Print 2021 Sep.

Point-of-care lung ultrasound assessment for risk stratification and therapy guiding in COVID-19 patients: a prospective noninterventional study

Affiliations

Point-of-care lung ultrasound assessment for risk stratification and therapy guiding in COVID-19 patients: a prospective noninterventional study

Jorge Rubio-Gracia et al. Eur Respir J. .

Abstract

Background: 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.

Methods: 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.

Results: 130 patients were included in the final analysis; mean±sd age was 56.7±13.5 years. Median (interquartile range) time from the beginning of symptoms to admission was 6 (4-9) days. Lung injury assessed by LUZ-score did not differ during the first 72 h (21 (16-26) points at admission versus 20 (16-27) points at 72 h; p=0.183). In univariable logistic regression analysis, estimated arterial oxygen tension/inspiratory oxygen fraction ratio (PAFI) (hazard ratio 0.99, 95% CI 0.98-0.99; p=0.027) and LUZ-score >22 points (5.45, 1.42-20.90; p=0.013) were predictors for the primary end-point.

Conclusions: 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.

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Conflict of interest statement

Conflict of interest: J. Rubio-Gracia has nothing to disclose. Conflict of interest: I. Giménez-López has nothing to disclose. Conflict of interest: V. Garcés-Horna has nothing to disclose. Conflict of interest: D. López-Delgado has nothing to disclose. Conflict of interest: J.L. Sierra-Monzón has nothing to disclose. Conflict of interest: L. Martínez-Lostao has nothing to disclose. Conflict of interest: C. Josa-Laorden has nothing to disclose. Conflict of interest: F. Ruiz-Laiglesia has nothing to disclose. Conflict of interest: J.I. Pérez-Calvo has nothing to disclose. Conflict of interest: S. Crespo-Aznarez has nothing to disclose. Conflict of interest: J. García-Lafuente has nothing to disclose. Conflict of interest: N. Peña-Fresneda has nothing to disclose. Conflict of interest: B. Amores Arriaga has nothing to disclose. Conflict of interest: B. Gracia-Tello has nothing to disclose. Conflict of interest: M. Sánchez-Marteles has nothing to disclose.

Figures

FIGURE 1
FIGURE 1
Lung ultrasound Zaragoza (LUZ)-score. Arrows indicate ultrasound findings described for each score.
FIGURE 2
FIGURE 2
Box plots showing lung ultrasound Zaragoza (LUZ)-score distribution at baseline, control and discharge. #: Mann–Whitney U-test between LUZ-score at baseline and LUZ-score at baseline and discharge.

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References

    1. Ramanathan K, Antognini D, Combes A, et al. . Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. Lancet 2020; 395: 497–506. doi:10.1016/S0140-6736(20)30183-5 - DOI - PMC - PubMed
    1. Guan W, Ni Z, Hu Y, et al. . Clinical characteristics of coronavirus disease 2019 in China. N Engl J Med 2020; 382: 1708–1720. doi:10.1056/NEJMoa2002032 - DOI - PMC - PubMed
    1. Blumenthal D, Fowler EJ, Abrams M, et al. . Covid-19 – implications for the health care system. N Engl J Med 2020; 383: 1483–1488. doi:10.1056/NEJMsb2021088 - DOI - PubMed
    1. Grasselli G, Zangrillo A, Zanella A, et al. . Baseline characteristics and outcomes of 1591 patients infected with SARS-CoV-2 admitted to ICUs of the Lombardy region, Italy. JAMA 2020; 323: 1574–1581. doi:10.1001/jama.2020.5394 - DOI - PMC - PubMed
    1. Pan H, Peto R, Henao-Restrepo AM, et al. . Repurposed antiviral drugs for Covid-19 – interim WHO Solidarity trial results. N Engl J Med 2021; 384: 497–511. doi:10.1056/NEJMoa2023184 - DOI - PMC - PubMed

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