Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2023 Feb 26;15(1):11.
doi: 10.1186/s13089-022-00299-x.

Monitoring of pulmonary involvement in critically ill COVID-19 patients - should lung ultrasound be preferred over CT?

Affiliations

Monitoring of pulmonary involvement in critically ill COVID-19 patients - should lung ultrasound be preferred over CT?

Arthur W E Lieveld et al. Ultrasound J. .

Abstract

Background: It is unclear if relevant changes in pulmonary involvement in critically ill COVID-19 patients can be reliably detected by the CT severity score (CTSS) and lung ultrasound score (LUSS), or if these changes have prognostic implications. In addition, it has been argued that adding pleural abnormalities to the LUSS could improve its prognostic value. The objective of this study was to compare LUSS and CTSS for the monitoring of COVID-19 pulmonary involvement through: first, establishing the correlation of LUSS (± pleural abnormalities) and CTSS throughout admission; second, assessing agreement and measurement error between raters for LUSS, pleural abnormalities, and CTSS; third, evaluating the association of the LUSS (± pleural abnormalities) and CTSS with mortality at different timepoints.

Methods: This is a prospective, observational study, conducted during the second COVID-19 wave at the AmsterdamUMC, location VUmc. Adult COVID-19 ICU patients were prospectively included when a CT or a 12-zone LUS was performed at admission or at weekly intervals according to local protocol. Patients were followed 90 days or until death. We calculated the: (1) Correlation of the LUSS (± pleural abnormalities) and CTSS throughout admission with mixed models; (2) Intra-class correlation coefficients (ICCs) and smallest detectable changes (SDCs) between raters; (3) Association between the LUSS (± pleural abnormalities) and CTSS with mixed models.

Results: 82 consecutive patients were included. Correlation between LUSS and CTSS was 0.45 (95% CI 0.31-0.59). ICCs for LUSS, pleural abnormalities, and CTSS were 0.88 (95% CI 0.73-0.95), 0.94 (95% CI 0.90-0.96), and 0.84 (95% CI 0.65-0.93), with SDCs of 4.8, 1.4, and 3.9. The LUSS was associated with mortality in week 2, with a score difference between patients who survived or died greater than its SDC. Addition of pleural abnormalities was not beneficial. The CTSS was associated with mortality only in week 1, but with a score difference less than its SDC.

Conclusions: LUSS correlated with CTSS throughout ICU admission but performed similar or better at agreement between raters and mortality prognostication. Given the benefits of LUS over CT, it should be preferred as initial monitoring tool.

Keywords: COVID-19; Computed tomography; Lung ultrasound; Monitoring; Mortality; Point-of-cafe ultrasound.

PubMed Disclaimer

Conflict of interest statement

The authors have no conflict of interest nor any financial disclosures.

Figures

Fig. 1
Fig. 1
Flow of patient inclusion. CT: computed tomography. LUS: lung ultrasound
Fig. 2
Fig. 2
Bland–Altman plot for LUSS. LUSS: Lung ultrasound score. Each point represents agreement between the two raters AL and MHe. A jitter effect was added to improve visualization of data and avoid direct overlap of multiple examinations. Green dotted line: limits of agreement. Red dotted line: mean systematic difference
Fig. 3
Fig. 3
Bland–Altman plot for CTSS. CTSS: Computed tomography severity score. Each point represents agreement between the two raters RvH and BT. A jitter effect was added to improve visualization of data and avoid direct overlap of multiple examinations. Green dotted line: limits of agreement. Red dotted line: mean systematic difference
Fig. 4
Fig. 4
LUSS changes over time compared to admission. LUSS: lung ultrasound score. Each point represents the mean score change compared to respective admission with its 95% confidence interval. Green points: patients who survived. Red points: patients who died. P values at follow-up points should be interpreted as the significance of the change of that particular point compared to baseline. Significant p values are in bold. At admission, there was no difference between the LUSS of patients who survived until discharge or died during admission (p = 0.67)
Fig. 5
Fig. 5
CTSS changes over time compared to admission. CTSS: Computed tomography severity score. Each point represents the mean score change compared to respective admission with its 95% confidence interval. Green points: patients who survived. Red points: patients who died. P values at follow-up points should be interpreted as the significance of the change of that particular point compared to baseline. Significant p values are in bold. At admission, there was no difference between the CTSS of patients who survived until discharge or died during admission (p = 0.26)

References

    1. Lieveld AWE, Azijli K, Teunissen BP, et al. Chest CT in COVID-19 at the ED: validation of the COVID-19 reporting and data system (CO-RADS) and CT severity score. Chest. 2020;159:1126. doi: 10.1016/j.chest.2020.11.026. - DOI - PMC - PubMed
    1. Use of chest imaging in COVID-19. https://www.who.int/publications-detail-redirect/use-of-chest-imaging-in.... Accessed 13 Jun 2020.
    1. Liew MF, Siow WT, Yau YW, et al. Safe patient transport for COVID-19. Crit Care. 2020;24:94. doi: 10.1186/s13054-020-2828-4. - DOI - PMC - PubMed
    1. Aliaga M, Forel J-M, De Bourmont S, et al. Diagnostic yield and safety of CT scans in ICU. Intensive Care Med. 2015;41:436–443. doi: 10.1007/s00134-014-3592-1. - DOI - PubMed
    1. Heldeweg MLA, Berend K, Cadenau L, et al. Bacterial contamination of ultrasound and stethoscope surfaces in low- and high-resource settings. Am J Trop Med Hyg. 2022 doi: 10.4269/ajtmh.22-0074. - DOI - PMC - PubMed

LinkOut - more resources